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ABB Unveils AI-Driven Distribution Innovations at CIIE 2024, Empowering Renewables and High-Reliability Industries

At the 8th CIIE, ABB Electrification showcased a comprehensive suite of intelligent distribution technologies shaped specifically for the challenges of China’s fast-evolving power ecosystem. As renewable energy penetration continues to climb, power grids must become smarter, more adaptive, and more resilient. ABB’s latest innovations reflect the company’s global leadership in electrification and its commitment to enabling China’s carbon-neutral transition.

SSC600: Next-Generation AI Prediction for Power System Reliability

ABB’s newly launched SSC600 predictive platform utilizes high-frequency sensing combined with real-time digital simulation to build a proactive distribution management framework.

Key capabilities include:

  • 4kHz full-power data acquisition

  • Seven-day forward failure risk forecasting

  • 95% accuracy rate for predictive warnings

  • Real-time disturbance detection and dynamic risk mapping

This means that power system operators can identify emerging risks long before they cause outages, enabling smarter maintenance decisions and more stable operation under renewable fluctuations.

Emax 3: Reinventing Protection for High-Reliability Power Users

The SACE Emax 3 low-voltage air circuit breaker supports:

  • Data centers with rapidly escalating AI computing loads

  • Advanced manufacturing facilities with strict uptime requirements

  • Industrial campuses demanding high power quality

Its intelligent sensing algorithms support predictive lifecycle management, reducing downtime and guarding critical assets with unprecedented precision. More importantly, its SL2-grade network security makes it suitable for highly digitized and interconnected infrastructure environments.

AI as the Brain of Future Power Systems

ABB’s philosophy is clear: The new power system must not only be electrified but also intelligently driven by AI.

Luo Hui from ABB Electrification elaborated:
“Traditional grids lack nuanced load control and cannot adapt to new patterns of renewable generation. AI transforms power systems from static infrastructure into an intelligent organism capable of learning, optimizing, and active risk prevention.”

Applications expand across multiple domains:

  • Smart temperature-adaptive HVAC load prediction

  • Dynamic EV charging management

  • Renewable-driven load reshaping

  • Demand-side response with minimal human intervention

The result is a self-optimizing micro-ecosystem that raises energy efficiency and reduces capital expenditures for industrial users.

Microgrid Empowerment: Strengthening the Building Blocks of the New Power System

China’s renewable energy boom requires strong local absorption capability. Many regions face challenges in stabilizing PV or wind outputs at the campus or industrial-park level. ABB aims precisely at this bottleneck.

The company deploys:

  • Load mechanism models based on decades of global industrial expertise

  • Precise renewable generation prediction

  • Localized AI-driven load dispatch

  • Integrated storage optimization

This creates a stable “internal circulation” microgrid that supports the larger utility grid while maximizing green consumption.

Toward an Era of Intelligent, Carbon-Neutral Distribution

ABB’s innovations are key enablers of:

  • Zero-carbon factories

  • Intelligent industrial parks

  • Resilient digital infrastructure

  • Next-generation building-level energy systems

As China accelerates energy digitalization, ABB’s solutions will continue to serve as the backbone of high-efficiency, low-carbon energy ecosystems.

NORCO Accelerates Adoption with High-Reliability Computing Solutions

The rise of intelligent manufacturing and AI technologies is reshaping industrial operations. Manual inspection—once a standard practice—now struggles with increasing risks, growing workloads, and the need for real-time data. Intelligent inspection robots have thus become essential for industries seeking higher safety, lower operational cost, and improved efficiency.

NORCO has launched a comprehensive solution built around the BIS-6670L modular AI computer, providing strong computing support for robot perception, analysis, and decision-making.


01. Why Intelligent Inspection Robots Are Becoming Essential
High-Risk Environments

Power stations, chemical plants, and mining sites expose human workers to electric hazards, gas leaks, or extreme temperatures.

Rising Labor Costs

Continuous 24/7 inspection is expensive and often impractical using manpower alone.

Demand for Real-time Data and Analysis

Modern operations depend on instant insights—something robots equipped with edge AI can deliver.

Need for Standardization

Robots perform inspection with consistent precision, reducing human error.


02. NORCO’s Intelligent Inspection Robot Solution

NORCO’s solution provides:

  • High-performance embedded AI computing

  • Multi-sensor fusion capability

  • Robust communication and storage support

  • Industrial-grade protection

  • Modular design for flexible deployment

At the heart of this architecture lies the BIS-6670L, engineered to handle heavy workloads in challenging industrial settings.


03. BIS-6670L: The Core Embedded AI Platform Behind Modern Inspection Robots
(1) AI Performance for Real-time On-site Analytics

The Alder Lake-N CPU delivers efficient computing for defect detection, temperature analysis, image recognition, and environmental data interpretation.

(2) Extensive Interface Options

BIS-6670L supports a wide range of peripherals:

  • HD cameras

  • Thermal imaging modules

  • Gas sensors

  • Lidar

  • Motor controllers

All enabled through Ethernet, USB, serial ports, GPIO, CAN, and M.2 expansion.

(3) Industrial-grade Reliability

The system maintains stable operation under:

  • -20°C to 70°C

  • Dust, moisture, and vibration

  • Strong electromagnetic interference

  • Continuous long-term operation

(4) Compact Design for Robotic Integration

The small form factor allows seamless installation inside robot chassis.


04. Real-world Use Cases
Power Substations

Robots perform meter reading, hot-spot detection, thermal analysis, and nighttime patrolling with real-time reporting.

Petrochemical Plants

Robots identify gas leaks, monitor pipelines, and detect abnormal temperatures in explosive or corrosive atmospheres.

Smart Factories

Robots scan machinery conditions, detect vibrations and anomalies, and assist with automated O&M cycles.

Mining Environments

Robots identify underground hazards, monitor air quality, detect cracks, and capture thermal anomalies.


05. Conclusion

NORCO’s BIS-6670L provides the essential computing backbone for intelligent inspection robots. As industrial digitalization accelerates, the BIS-6670L will play a crucial role in creating safer, more efficient, and more intelligent maintenance systems.

From Automation to Intelligence: Beckhoff’s TwinCAT PLC++ Redefines the Future of Industrial Software

As manufacturing industries increasingly pursue higher flexibility, intelligence, and digitalization, industrial control software is entering a critical stage of reinvention. Beckhoff Automation has officially launched its next-generation platform TwinCAT PLC++, integrating the AI-powered TwinCAT CoAgent directly into the core engineering workflow. This marks a historic shift from traditional control logic to AI-assisted engineering.

TwinCAT PLC++ represents not only enhanced PLC capabilities but a redefined lifecycle for industrial systems—from design and development to deployment and optimization.


Comprehensive Upgrade: Faster Runtime and More Flexible Architecture
1. Runtime Performance Improved by 1.5×

Through architecture redesign, TwinCAT PLC++ achieves faster execution cycles, reduced latency, and smoother task processing.

2. Compiler Optimization up to 3× Performance

The new compiler introduces:

  • Enhanced semantic analysis

  • Smarter optimization strategies

  • Streamlined code generation

These improvements benefit complex motion control, high-frequency sampling tasks, and multi-tasking industrial systems.

3. Deep System Integration

TwinCAT PLC++ enables tighter coupling among motion control, communication, visualization, and add-on features. It supports both graphical and textual engineering methods, ensuring maximum flexibility for complicated automation projects.


TwinCAT CoAgent: AI Redefines Control Engineering

TwinCAT CoAgent is the first conversational AI agent embedded directly in an industrial PLC platform.

1. AI-Based Code Generation

CoAgent can instantly transform natural language instructions into ready-to-run PLC code. It also:

  • Analyzes existing projects

  • Provides optimization suggestions

  • Generates professional documentation

  • Converts code into readable engineering logic

2. Automated I/O and HMI Configuration

The system can automatically:

  • Build I/O topology

  • Name terminal modules

  • Configure parameters

  • Generate HMI widgets and interactable controls

Future versions will introduce autonomous parameter tuning and intelligent optimization recommendations.

3. Integrated Technical Knowledgebase

CoAgent accesses Beckhoff’s documentation, enabling engineers to obtain real-time configuration guidance without searching manually.


Beckhoff: A Global Pioneer in Industrial Automation

With a history dating back to 1980, Beckhoff maintains a strong reputation for engineering excellence. Its technology portfolio spans:

  • Industrial PCs

  • Fieldbus and I/O modules

  • Drive systems

  • Industrial vision

  • Automation software

  • Cabinet-free control systems

Beckhoff operates in 75 countries with over 40 subsidiaries. In China, the company has grown since 1997 and now maintains offices in more than 30 major cities.

Its breakthrough technology EtherCAT became a Chinese national recommended standard in 2014.


A New Industrial Era: Software-Defined, AI-Empowered Manufacturing

TwinCAT PLC++ embodies the future of industrial automation, where control systems evolve from logic execution units into intelligent, collaborative, AI-enhanced platforms.

In future smart factories:

  • AI will generate and optimize PLC code

  • I/O systems will self-configure

  • HMI interfaces will be AI-generated

  • System diagnostics will be automatic

  • Production lines will adapt dynamically

TwinCAT PLC++ is not just an iteration—it is a strategic leap toward intelligent, software-defined manufacturing.

From Automation to Intelligence: Schneider Electric Accelerates the Smart Manufacturing Revolution in China

At the 8th China International Import Expo, Schneider Electric unveiled its latest breakthroughs in AI-driven automation and open platform integration.


A New Era of Intelligent Manufacturing

China’s industrial transformation is moving rapidly from “manufacturing scale” to “quality and intelligence.”
Smart automation, AI decision-making, and open digital platforms are becoming the engines of a new industrial revolution.
Schneider Electric, a global leader in energy management and automation, is taking a front-row seat in this transformation, turning global innovation into localized smart manufacturing solutions for China.

At this year’s CIIE, Schneider Electric’s booth became a window into the future of factories—showcasing edge computing, AI integration, flexible manufacturing, and digital energy management.


The Power of Intelligent Technology

The star attraction was the Modicon Edge I/O NTS system, a distributed platform enabling real-time data processing at the network edge.
Its modular and protocol-agnostic design allows seamless integration with diverse automation systems, reducing latency while improving precision in industrial control.

Another highlight was the locally designed “Golden Quartet” motion control suite, created specifically for Chinese manufacturers.
This combination of controllers, drives, motors, and human-machine interfaces shortens cycle time by 30% and supports multi-industry adaptability—from packaging to electronics to logistics.

The AI-powered Flipping Machine, driven by the EcoStruxure™ Automation Expert (EAE) open automation platform, further demonstrated the convergence of automation and artificial intelligence.
It showed how machine learning can enhance real-time inspection, adaptive production, and predictive maintenance across complex assembly lines.


Digital Cooperation and Ecosystem Expansion

Schneider Electric understands that true industrial transformation depends on collaboration.
Through its growing ecosystem, the company is partnering with local innovators to co-create value.

For instance, in cooperation with Qiangsi Digital Technology, Schneider Electric integrates automation and safety systems with advanced asset management to optimize process industry performance.
Its partnership with Arkema China focuses on building digital, low-carbon chemical plants, setting a benchmark for sustainable manufacturing.
In the pharmaceutical and food industries, Schneider Electric works with engineering firms like Jieshun and Dayi to deploy ProLeiT process control and MES digital platforms, advancing digital transformation at scale.


AI and Green Manufacturing: A Perfect Pair

AI in manufacturing is not only about intelligence—it’s about sustainability.
Schneider Electric applies AI-based energy optimization algorithms that can reduce industrial energy consumption by 10–15% without affecting output.
This directly supports China’s “dual carbon” goals, turning sustainability into a competitive advantage.

Products like the Altivar 340 variable speed drive demonstrate this synergy by optimizing motor torque and minimizing energy waste.
When combined with digital twins and analytics, manufacturers can continuously monitor and improve performance in real time.


Smart Manufacturing, the Chinese Way

“Digitalization is a system-wide evolution, not a single event,” said Ding Xiaohong.
Through its China Hub strategy, Schneider Electric integrates R&D, local production, and partner collaboration to deliver solutions designed by China, for China.

As AI, big data, and automation continue to converge, Schneider Electric’s open platforms will remain at the heart of industrial transformation.
From intelligent control systems to cloud-based energy management, the company is paving the way for a more efficient, greener, and smarter industrial future.

Vertical GaN Power Devices Set to Transform High-Voltage Electronics: onsemi Pushes Beyond Silicon and Lateral GaN Limits

The Next Leap in Power Electronics Has Arrived

From electric vehicles and grid-scale storage to hyperscale AI compute clusters, today’s most power-intensive systems are rapidly outgrowing the limits of traditional silicon-based components. Even lateral GaN devices—once considered the frontier of efficiency—are hitting voltage and thermal ceilings.
Into this gap steps Vertical GaN (vGaN), a new class of power device that does not merely upgrade GaN technology but redefines how electrons travel through a power semiconductor.

With its official release of GaN-on-GaN vertical devices, onsemi has positioned itself at the center of what analysts now describe as the next $10-billion transition in power electronics.


Why Vertical Structure Is the Breakthrough

Traditional GaN devices conduct power laterally across the surface of the semiconductor layer, which limits scalability when voltage, current, or heat rise. Vertical GaN reverses this structure:
1✔ Current flows through the thickness of the device
2✔ Electric field spreads vertically, not across the surface
3✔ Breakdown voltage scales with thickness, not chip area

This shift enables multi-kilovolt capability, ultra-fast switching and extremely compact designs without sacrificing thermal or reliability margins.


The Technology Foundation: What “GaN-on-GaN” Really Means

Unlike GaN-on-silicon or GaN-on-sapphire, vGaN is grown directly on native GaN substrates. That single change impacts everything:

Attribute GaN-on-Si GaN-on-GaN
Lattice mismatch High Zero
Critical electric field Limited Very high
Thermal resistance Poor Excellent
Voltage scalability < 700V practical 1200V+, roadmap to 2kV
Reliability Good Aerospace-class
Use cases Chargers, adapters EV, AI, grid, aerospace

This is what enables claims such as “50% lower energy loss, 2–3× higher power density, and half-size passive components.”
It’s not marketing hype—it’s physics.


From R&D to Real Deployment: What onsemi Has Actually Delivered

While many semiconductor companies showcase vertical GaN in academic papers or R&D prototypes, onsemi is one of the first to:

1✅ Develop full wafer-level fabrication in-house
2✅ Secure more than 130 global patents across process + packaging + system use
3✅ Begin sampling 700V and 1200V parts to early customers
4✅ Target not consumer electronics but industrial, automotive, data center, aerospace grade power blocks

The company is not just introducing a new transistor—it is rolling out an ecosystem shift, including drivers, reference designs and thermal models for system integrators.


Why the Industry Needs This Breakthrough Now

It’s not a coincidence that vertical GaN arrives at the same moment the world is facing a massive energy-to-computation conversion problem.

1⚡ Data centers are scaling to 100+ MW sites

ChatGPT-level AI inference clusters require entire substations to power a single data hall.
The cost bottleneck is no longer GPUs—it is power conversion and heat.

2⚡ EVs are moving from 400V to 800V and 1000V platforms

The switch to high-voltage drivetrains demands components beyond silicon IGBTs and lateral GaN.

3.⚡ Renewable power conversion is hitting stability walls

Solar and wind inverters must handle >1500V DC strings and extreme temperatures.

4⚡ Storage and microgrids require bidirectional high-frequency power blocks

Legacy silicon adds weight, cost, and energy waste—making storage economics worse.

In all four cases, the constraint is not generation—it is conversion.

Vertical GaN is designed precisely for this gap.


Key Technical Advantages of onsemi vGaN

✅ Up to 50% reduction in switching and conduction loss
✅ Operation at >1 MHz switching without thermal runaway
✅ Device size up to 3× smaller for same voltage/current rating
✅ Enables 2× smaller inductors and capacitors
✅ Built-in robustness against avalanche, surge and cosmic radiation
✅ Ideal for multi-kW to MW-scale conversion systems

One of the least discussed—but most important—advantages:
📌 Because passive components shrink dramatically at higher switching frequencies, vGaN reduces total system cost, not just device-level power loss.


Application Impact by Sector

Sector vGaN Advantage Result
AI data center power shelves 800V → 48V conversion with <1% loss Higher rack power, lower heat load
EV traction inverters Higher voltage density, faster switching More range, smaller inverter, lower BOM
DC fast charging MW-class conversion in smaller cabinets Faster rollout, lower real estate cost
Renewable energy High-voltage boost and inverter paths Higher efficiency in 1500V PV/ESS
Aerospace & defense Thermal + radiation robustness Enables lighter flight-certified designs
Industrial robotics Compact motor drives with lower EMI Higher integration and uptime

A common theme is emerging across industries:
vGaN replaces big, hot, slow power stages with compact, cool, fast ones.


Competitive Positioning: Where vGaN Fits in the Market Map

The wide-bandgap power market is no longer a single race—it is now segmented:

Voltage Class Dominant Tech Main Use Future Threat
<650V Lateral GaN Chargers, consumer Stable
650–1200V SiC MOSFET EV traction, industrial Challenged by vGaN
1200V+ IGBT / SiC Grid, storage, rail Strongly challenged

Vertical GaN attacks exactly the zone where SiC is gaining momentum, but with:

onsemi is not replacing SiC—it is competing above and below it simultaneously.


The Manufacturing Story: Why Location Matters

Unlike other GaN vendors relying on outsourced wafer fabs, onsemi’s vGaN platform is:

🏭 Designed and manufactured in Syracuse, New York
🔬 Built on proprietary crystal and epitaxy processes
📜 Protected by more than 130 patents across multiple regions
🚗 Targeted for automotive-grade qualification (AEC-Q)

This means two things:

  1. Secure supply chain for U.S. and EU markets

  2. Faster scalability and reliability certification — a major advantage in EV and defense markets


Conclusion

Just as SiC reshaped EV drivetrains and power modules over the last decade, vertical GaN is now positioned to disrupt the next wave of electrification—where size, weight, thermal load, and switching speed matter as much as voltage rating.

The transition is already underway:

  • AI power racks are demanding higher density

  • Automakers are migrating to >800V platforms

  • Energy systems are scaling past silicon limits

  • Aerospace is eliminating every unnecessary gram

The semiconductor that wins this decade won’t just be fast or efficient, but small, cool, scalable, and voltage-capable.

And that is the problem vertical GaN was engineered to solve.

Emerson Sponsors 2025 NAMUR China Annual Conference, Driving Smart Industrial Automation

Shanghai, China – October 27, 2025Emerson (NYSE: EMR), a global leader in industrial automation and software, announced its sponsorship of the 2025 NAMUR China Annual Conference, which will be held in Shanghai from October 29 to 30. The event will bring together more than 200 industry executives, technical experts, and automation solution providers to share insights on industrial artificial intelligence, automation architecture, and autonomous operations.

As a key platform organized by the International Users Association for Automation in Process Industries (NAMUR), the conference aims to promote collaboration between automation technology providers and industry users. By participating, Emerson will demonstrate innovative automation solutions and provide practical experience in advancing digital transformation in the process industry.


Focusing on Smart Operations: Emerson Highlights Industrial AI Innovations

During the conference, Duncan Schleiss, Vice President of Process Systems and Solutions at Emerson, will deliver a keynote titled “Towards Autonomous Operations: Industrial AI-Driven Automation.” The speech will cover how Emerson’s strategy aligns with NAMUR’s open standards and smart operation concepts, as well as the role of next-generation automation architectures in unlocking data value and enhancing plant agility.

“Industrial enterprises are at a pivotal stage of digital transformation. Emerson combines artificial intelligence with process control technologies to help customers create more resilient, sustainable, and intelligent operations,” said Schleiss.

Xiaolong Dai, Head of the NAMUR China Core Group and Chief Manager of Automation Functions at Yangzi Petrochemical-BASF Co., Ltd., emphasized the value of collaboration:

“The NAMUR China Annual Conference connects industry leaders to explore automation innovations and practical applications. Emerson’s participation brings international perspectives and cutting-edge technical insights to the event.”


Enterprise Operations Platform (EOP): Making Autonomous Operations Real

A highlight of Emerson’s participation is its Enterprise Operations Platform (EOP), designed to integrate traditional automation systems with modern digital technologies.
Built on software-defined control (SDC), industrial AI, and zero-trust cybersecurity, EOP provides a flexible and scalable digital infrastructure for the process industry. It enables end-to-end data integration and intelligent decision-making, spanning production management, asset optimization, energy efficiency, and operational safety.

Wang Yifeng, President of Emerson China, said,

“Manufacturers face complex operational challenges and sustainability goals. Emerson’s industrial AI combines advanced algorithms with EOP capabilities to deliver autonomous operation solutions, predictive maintenance, and overall optimization, helping enterprises achieve higher efficiency and sustainability.”


On-Site Demonstrations: Cutting-Edge Automation Technologies

At the conference, Emerson will showcase a range of advanced technologies:

  • NAMUR Open Architecture (NOA) and Modular Type Package (MTP) for flexible and modular automation systems;

  • AMS asset management and machinery health software with FDI integration to improve equipment availability;

  • Ethernet-APL (Advanced Physical Layer) technology for enhanced field instrument connectivity and secure data access;

  • AI-driven remote autonomous operation solutions;

  • Next-generation DeltaV™ Distributed Control System and Bluetooth-enabled HART communication instruments for efficient data collection and field operation.

These demonstrations highlight Emerson’s leadership in automation innovation and its commitment to helping enterprises implement digital transformation and intelligent operations.


Industry Impact: Driving Digitalization and Sustainability

The NAMUR China Annual Conference serves not only as a platform for technical exchange but also as a catalyst for industrial digitalization. Emerson’s solutions enable companies to optimize production, energy use, and equipment management while meeting sustainability objectives.

Dai commented,

“Automation technology improves operational efficiency and equips the industry with smart solutions to tackle complex challenges. Emerson’s participation demonstrates how a global leader empowers China’s process industries through technology.”


Looking Ahead: A New Era of Intelligent Autonomous Operations

Emerson continues to invest in research and innovation, leading the industry toward autonomous operations. The company envisions a future where AI-driven insights and self-learning capabilities allow factories to optimize, predict, and make autonomous decisions for safer, more efficient, and sustainable operations.

“We aim to work with NAMUR and industry partners to build an intelligent operations ecosystem, connecting Chinese process industries with global best practices and driving digital, sustainable, and intelligent factories,” said Wang Yifeng.


About Emerson
Emerson (NYSE: EMR) is a global industrial technology and software company headquartered in St. Louis, Missouri, USA. With expertise in smart devices, control systems, and industrial software, Emerson delivers automation solutions and operational excellence services worldwide. The company leverages innovation and reliability to support customers in digital transformation, production efficiency, and sustainable development.

SoftBank’s Acquisition of ABB Robotics Signals a New Era for AI-Powered Automation

The $5.4 billion deal combines ABB’s industrial robotics expertise with SoftBank’s AI vision, pushing the future of intelligent machines forward.


Zurich / Tokyo — October 8, 2025 — Robotics and artificial intelligence are merging faster than ever. SoftBank Group announced it will acquire ABB Group’s robotics division for $5.375 billion, marking a turning point in industrial technology.

The sale, expected to close in mid to late 2026, highlights how AI is transforming manufacturing. ABB’s robotics expertise meets SoftBank’s AI capabilities, creating a platform for cognitive automation and the next generation of intelligent robots.


From Industrial Robots to AI-Powered Machines

ABB’s robotics division has been a global leader in automation, supporting industries from automotive manufacturing to electronics assembly. With 7,000 employees worldwide and $2.3 billion in 2024 revenue, ABB Robotics has set high standards for precision and reliability.

Now, SoftBank will take the unit into a new dimension: robots that think, learn, and adapt.

“Artificial intelligence is reshaping manufacturing,” said ABB CEO Morten Wierod. “By combining SoftBank’s AI ecosystem with ABB’s robotics hardware, we can create machines that operate intelligently and autonomously.”


SoftBank’s Physical AI Vision

SoftBank CEO Masayoshi Son has long championed Physical AI — intelligence that exists in the real world, not just in the cloud.

“We are moving beyond traditional AI,” Son said. “ABB Robotics allows us to merge mechanical precision with cognitive intelligence. Together, we can create autonomous machines that learn, adapt, and collaborate with humans.”

SoftBank already invests in machine learning platforms, semiconductor design, and AI-driven robotics. ABB brings industrial-grade hardware and decades of engineering experience. Together, they aim to build next-generation intelligent automation systems.


How the Acquisition Benefits Both Companies

ABB benefits by focusing on core areas like electrification, process automation, and digital energy. The sale will bring $5.3 billion in net cash and around $2.4 billion in pre-tax gains, allowing ABB to invest in R&D and strategic growth.

“This is a win-win,” said Peter Voser, ABB Chairman. “SoftBank is the ideal home for our robotics business. ABB can concentrate on sustainable automation while SoftBank drives AI-powered innovation.”

The robotics business will be reported as a discontinued operation starting in Q4 2025. ABB’s Machine Automation unit (B&R) will integrate into its Process Automation division, simplifying operations while maintaining service continuity for customers.


A Glimpse Into Cognitive Automation

SoftBank plans to combine ABB’s hardware with its AI capabilities to create robots that perceive, learn, and act autonomously. These machines could:

  • Detect anomalies before they occur

  • Reconfigure production lines dynamically

  • Collaborate safely with human workers

“Industrial robots will evolve from task executors to cognitive partners,” said Dr. Hiro Tanaka, professor at the University of Tokyo. “SoftBank and ABB are driving the industry toward this reality.”

By leveraging cloud AI, multiple robots could share knowledge and learn collectively, boosting efficiency across factories and warehouses. This networked intelligence could also improve predictive maintenance, reduce energy consumption, and enhance safety.


The Industry Context

The deal reflects a global trend: AI is reshaping the industrial robotics market. According to the International Federation of Robotics (IFR), AI-enabled automation could account for a significant share of the projected $150 billion robotics market by 2030.

Companies worldwide are racing to embed AI into robotics. Startups, tech giants, and industrial firms aim to develop machines that learn continuously, reducing downtime and boosting productivity. SoftBank’s acquisition puts it at the forefront of this transformation.

“They’re not buying robots; they’re buying the intelligence layer that will define the next decade,” said Laura Chen, senior analyst at IDC Asia Pacific.


ABB’s Continued Leadership in Automation

ABB’s focus on electrification, process automation, and sustainability remains strong. The company employs over 110,000 people globally and operates in more than 100 countries.

“ABB’s mission is unchanged,” said Voser. “We’re helping industries operate efficiently and sustainably. The future of automation isn’t just machines — it’s intelligent, interconnected ecosystems.”

The divestment frees up capital to invest in digital energy management, smart grids, and AI-enabled industrial solutions, aligning with global sustainability goals.


SoftBank’s New Robotics Ecosystem

SoftBank plans to expand ABB’s research footprint with AI and robotics labs in Tokyo, Zurich, and Boston. These centers will focus on integrating machine learning, perception algorithms, and cloud intelligence into industrial robots.

“Our goal is to create robots that understand context and collaborate with humans,” said SoftBank CTO Naoki Sato. “ABB’s expertise accelerates that mission.”

The new AI-robotics stack combines three layers:

  1. Hardware intelligence — ABB’s actuators, sensors, and motion controls

  2. Cognitive intelligence — SoftBank’s AI models and neural networks

  3. Operational intelligence — Cloud connectivity for real-time optimization

This stack enables robots to self-optimize across factories, warehouses, and even healthcare facilities.


The Broader Impact

Analysts say the acquisition sets a new benchmark for industrial AI integration. Companies like Siemens, FANUC, and Yaskawa are also embedding AI into robots, but SoftBank’s approach could accelerate cognitive robotics adoption globally.

“This is a shift from automation to intelligence,” said Kevin Wu, robotics VC. “ABB and SoftBank are building robots that learn across networks, not just follow programmed instructions.”

The collaboration may also influence global supply chains, logistics, and smart manufacturing ecosystems. By merging AI and robotics, SoftBank is creating a blueprint for future industrial competitiveness.


Looking Ahead

As the deal progresses, the ABB–SoftBank partnership could redefine what industrial robots can do. With AI cognition at the core, machines will predict, adapt, and make decisions, transforming how factories operate.

“We’re entering the cognitive era of manufacturing,” said Dr. Tanaka. “ABB and SoftBank are not just improving efficiency — they’re changing the fundamental role of machines in society.”

For ABB, the sale is a chance to concentrate on sustainable automation and digital infrastructure. For SoftBank, it’s a gateway to building the world’s first AI-driven industrial ecosystem.


Conclusion

The $5.4 billion deal is more than a corporate transaction — it’s a signal that intelligent automation is here. The combination of ABB’s industrial expertise and SoftBank’s AI capabilities could transform manufacturing, logistics, healthcare, and more.

“We are building robots that think, learn, and collaborate,” said Son. “This is the next phase of industrial progress.”

The ABB–SoftBank partnership underscores a simple truth: the future of robotics is intelligence plus action, not just mechanics.

Doing the Math: How ABB’s VSM Integrated Drive Delivers “Real” Green Returns for Water Plants and Communities

Introduction:

In the industrial world, the ultimate value of any new technology must be validated by cold, hard numbers and real-world cases. For water utility operations managers, their most pressing questions are blunt and practical: “How much will this technology save me? How quickly is the payback? How much carbon can it reduce for my ESG report?” The value proposition of ABB‘s new LV Titanium VSM integrated drive is precisely built on quantifiable, tangible economic and environmental benefits. This article will use specific scenario-based calculations and potential application analyses to reveal how this innovative product delivers “visible and tangible” returns on investment, driving its adoption from “nice to have” to “must-have.”

I. Micro Perspective: The Annual Benefit Sheet of a Single 7.5kW Pump Station

Let’s focus on a most common unit: a secondary water supply pump station serving a medium-sized community, equipped with one 7.5kW pump, operating approximately 8000 hours per year.

  • Baseline for Comparison: Traditional solution uses a line-powered IE3 efficiency class induction motor, with flow/pressure controlled by valve throttling, resulting in high energy consumption.

  • VSM Solution: Uses an ABB VSM integrated drive, adjusting pump speed in real-time based on actual water demand, achieving on-demand supply.

Benefit Calculation:
  1. Electricity Savings: Based on actual engineering data, the VSM unit can achieve an overall energy saving of over 30% compared to the traditional fixed-speed solution. Annual power consumption for a 7.5kW motor is: 7.5kW * 8000h = 60,000 kWh. Energy saved is: 60,000 kWh * 30% = 18,000 kWh. At an industrial/commercial electricity rate of RMB 0.7/kWh, Annual Electricity Cost Savings: 18,000 kWh * RMB 0.7/kWh = RMB 12,600.

  2. Carbon Reduction: Using China’s grid average carbon emission factor (~0.7 kg CO₂/kWh), the annual reduction is: 18,000 kWh * 0.7 kg CO₂/kWh = 12,600 kg, or 12.6 tonnes of CO₂. This is an extremely valuable asset for companies needing to issue CSR reports or respond to carbon audits.

  3. Maintenance Cost Savings: Soft starting and smooth speed regulation reduce mechanical stress on the pump and piping network, extending equipment life and lowering failure rates and maintenance costs. Preliminary estimates suggest annual maintenance costs can be reduced by 15-20%.

Payback Period: Considering the VSM unit’s savings on control cabinets, installation/commissioning costs, and potential government subsidies, its price premium over a traditional “motor + VFD cabinet” solution is already very small. In many cases, the total initial investment is comparable or even lower. Even if a small premium exists, the Payback Period is typically within 1 year. This level of Return on Investment (ROI) is highly attractive in the industrial sector.

II. Meso Perspective: The Scaled Miracle for a Regional Water Plant

Amplifying the benefits of a single pump station to a regional water or wastewater treatment plant with hundreds of various pumps reveals staggering numbers.

  • Hypothetical Scenario: A water plant has 100 pumps ranging from 5.5kW to 45kW, of which 50 are suitable for VSM retrofit, with an average power of 15kW.

  • Scaled Benefits:

    • Total Annual Energy Savings: (15kW * 8000h * 30% * 50 units) = 1,800,000 kWh.

    • Total Annual Cost Savings: 1,800,000 kWh * RMB 0.7/kWh = RMB 1,260,000 (1.26 million Yuan).

    • Total Annual Carbon Reduction: 1,800,000 kWh * 0.7 kg CO₂/kWh = 1,260,000 kg, or 1,260 tonnes of CO₂. This is equivalent to the carbon sink effect of planting tens of thousands of trees.

    • Space Benefit: Post-retrofit, significant space previously used for electrical cabinets can be freed up for other uses or to improve the working environment.

    • Management Benefit: With all VSM units networked, engineers can monitor the status and energy data of all equipment from a central control room, enabling preventive alarms, greatly enhancing management efficiency and system reliability.

III. Macro Perspective: Empowering Broad Industries like Food & Beverage and Buildings

The application of the VSM unit is by no means limited to municipal water. Its core “pumping” function makes it applicable across a vast industrial landscape.

  • Food & Beverage Industry: A major water consumer, its processes are filled with pumping links (raw material transfer, cleaning, filling, CIP cleaning, etc.). Requirements for hygiene, reliability, and energy efficiency are extremely high. The VSM’s compact design is easy to clean, and its high efficiency directly reduces production costs. A large brewery or beverage factory might have thousands of pumps, with energy-saving potential even exceeding that of water plants.

  • Commercial Buildings & Hospitals: Circulating and booster pumps for central air conditioning are major electricity consumers in buildings. Retrofitting with VSM units can significantly reduce property operating costs and contribute to green building certification.

  • Chemicals & Pharmaceuticals: Also involve extensive fluid transfer needs with stringent requirements for precise process control and reliability.

IV. Beyond the Numbers: Hidden Value and Future Potential

Beyond direct economics, the VSM unit offers significant implicit value:

  • Installation Flexibility: Its small size allows installation even on pipes or in tight corners, offering unprecedented flexibility for system design.

  • Plug-and-Play & the Skills Gap: In an context of scarce skilled engineers, its simple installation reduces reliance on high-end technical talent, making project deployment no longer constrained by human resource bottlenecks.

  • Data Value: The continuous operational data it generates is the foundation for advanced applications like AI-optimized (scheduling) and digital twins, holding immeasurable future value.

Conclusion:

The value brought by the ABB LV Titanium VSM integrated drive is a clear and straightforward math problem. Through highly persuasive ROI and carbon reduction data, it transforms “green energy saving” from a grand concept into increased profit on corporate financial statements and standout achievements in ESG reports. From annual savings of thousands per community pump room, to millions saved per regional water plant, to the vast blue ocean of cross-industry applications, it proves that environmental protection and economic benefit are not contradictory but can be highly unified and mutually reinforcing. For any enterprise decision-maker pursuing cost reduction, efficiency gain, and sustainable development, this is an calculation worth doing again and again. Choosing the VSM is choosing a clear path to a more efficient, greener, and smarter future.

“Sales Manager : Jinny
Email : sales1@xrjdcs.com
Whatsapp/Mobile:+86 15359273791″

 

The Architect Who ‘Reads the Pulse’ of Industrial Equipment

A GE Vernova solutions expert’s pursuit: Using Proficy CSense to help Chinese factories bid farewell to “unexpected downtime.”

(Feature Story) – Behind the podium at the Dalian seminar, Mr. YU Siyuan, Solution Architecture Director, Asia Pacific at GE Vernova, resembles an experienced “industrial doctor.” His “stethoscope” is the sensors, his “medical record” is vast volumes of industrial data, and his “prescription pad” is an industrial AI analysis platform called Proficy CSense. His mission is to “read the pulse” of Chinese factories and equipment, prescribing “preventive medicine” before failures occur.

A Conceptual Leap from “Firefighting” to “Fire Prevention”

“I’ve seen too many scenes where a single critical equipment failure paralyzes an entire production line, with general managers, plant managers, and engineers running around in a panic,” Mr. Yu said in an interview, describing the pain points of countless manufacturing companies. “This ‘firefighting’ mode of operation is not only exhausting but also comes at a huge economic cost to the enterprise.”

He mentioned that the cost of an unplanned shutdown goes far beyond the repair parts themselves; it includes production losses, penalties for delayed delivery, employee overtime, and most importantly—the loss of customer trust. It is this pain point that drives him and his team to promote the concept and solutions of predictive maintenance.

“Our work is to help customers change from ‘firefighters’ to ‘fire preventers.’ Proficy CSense is our ‘early fire warning system‘,” Mr. Yu explained the value of his work with a vivid metaphor.

CSense: A Platform to “Replicate” Expert Experience

Mr. Yu believes that the most valuable assets in many factories are the veteran engineers who have worked for decades. They can judge potential equipment problems by listening to sounds, feeling temperature, and observing phenomena. But this experience is tacit, difficult to replicate, and can disappear when these veterans retire.

“A core value of the CSense platform is to transform this tacit expert experience into explicit, reusable algorithmic models,” he said, his eyes shining with a technologist’s passion. “Through the platform, we translate the veteran’s experience that ‘a dull vibration sound may indicate insufficient bearing lubrication’ into a precise algorithm: ‘increased energy in the low-frequency band of the vibration spectrum, 85% match with the bearing fault.’ This way, even a novice can make expert-level judgments guided by the system.”

He detailed the successful metallurgy case study, which was not only a technological victory but also of human-machine collaboration. The company’s process engineers collaborated with GE experts to use the CSense platform to solidify their deep understanding of the anode furnace process into an efficient predictive model. “This model now guards that furnace 24/7. That engineer can now research more cutting-edge process optimization; his knowledge has been sublimated and liberated.”

The Role of the “Architect”: Connecting Technology and Scenario

As a “Solutions Architect,” Mr. Yu’s job is far more than selling software. He needs to go deep into customers’ factories, understand their processes, their pain points, their fears, and expectations.

“Every factory is unique. We can’t go looking for nails with a hammer,” he said. “My role is that of a translator and connector—between the powerful technical capabilities of CSense on one side and the complex specific scenarios of the customer on the other. I need to translate the customer’s business language (‘I don’t want to produce waste anymore’) into technical language (‘we need to build a PCA-based quality deviation model’) and design the most suitable architecture to implement it.”

This process requires empathy, patience, and profound interdisciplinary knowledge. He must win the trust of field engineers, make them believe in the power of data, and also help management understand the long-term return on this investment.

Looking Ahead: Making Technology “Accessible and Usable” for More Companies

Looking to the future, Mr. Yu stated that GE Vernova’s goal is to make predictive maintenance technology more inclusive. “Through our cloud-edge synergy architecture and low-code design, we are continuously lowering the barrier to application. In the past, this might have been a game for large state-owned enterprises. Now, we hope to enable more small and medium-sized manufacturing enterprises to use it, afford it, and use it well.”

He believes that as technology matures and becomes more widespread, predictive maintenance will become the “standard” in the industrial field. “I hope that in the future, Chinese manufacturing enterprises can completely bid farewell to the nightmare of ‘unexpected downtime.’ When every engineer can skillfully use data tools to ‘read the pulse’ of equipment, the quality and efficiency of ‘Made in China’ will reach .”

This is the simple wish of an industrial “architect”: to use the power of technology to guard every step forward for Chinese manufacturing.

“Sales Manager : Jinny
Email : sales1@xrjdcs.com
Whatsapp/Mobile:+86 15359273791″

eMarine and ABB Deploy 1,500 Non-Invasive Sensors

Innovative technology helps global cruise and cargo vessels cut costs and carbon emissions

Collaboration Overview
The maritime industry urgently needs greener operational solutions. In response, Swedish energy management specialist eMarine and global technology leader ABB have formed a strategic partnership. ABB will supply 1,500 marine-certified NINVA™ non-invasive temperature sensors. Subsequently, eMarine will integrate these sensors into its vessel energy management platforms. This integration will significantly improve real-time energy monitoring for global shipping operators.

eMarine’s Expanding Capabilities
eMarine provides digital energy management solutions designed especially for maritime applications. Many leading cruise and cargo operators already use its systems to monitor and reduce energy consumption and CO₂ emissions. Through this partnership with ABB, eMarine now incorporates cutting-edge sensing technology. As a result, the company can offer clients even greater performance and adaptability.

Technical Advantages of NINVA Sensors
The NINVA™ sensors feature an innovative non-invasive design. They attach externally to pipes, which eliminates drilling and prevents leakage risks. These sensors withstand vibrations up to 4g and perform reliably in harsh maritime conditions. Moreover, they deliver accuracy equal to traditional invasive sensors, making them ideal for optimizing onboard systems.

Application and Operational Benefits
Accurate temperature monitoring is essential for key vessel systems like heat recovery, cooling water, and ventilation. The NINVA sensors provide real-time data, enabling operators to fine-tune parameters and improve thermal efficiency. Consequently, ships can reduce fuel use and cut CO₂ emissions. Industry experts anticipate that this technology will help meet stricter environmental targets.

Executive Perspectives
Ola Persson, CEO of eMarine, stated: “Teaming up with ABB allows us to offer more sophisticated energy tools. Integrating NINVA sensors helps our customers lower their carbon footprint and operational costs.”

Dr. Guruprasad Sosale, Product Manager at ABB Measurement & Analytics, added: “Applying NINVA technology in the maritime sector shows ABB’s commitment to sustainability. We believe these sensors will set new efficiency standards for shipping.”

Corporate Background
ABB is a global leader in electrification and automation with over 140 years of experience. The company offers solutions that help industries boost productivity, efficiency, and sustainability. Currently, ABB employs about 110,000 people and is listed on the SIX Swiss Exchange and Nasdaq Stockholm.

Industry Outlook
The maritime industry faces growing pressure to adopt cleaner technologies. Together, ABB’s engineering and eMarine’s maritime expertise can drive sustainable operations. Therefore, wider use of NINVA sensors should play a key role in global decarbonization efforts.

“Sales Manager : Jinny
Email : sales1@xrjdcs.com
Whatsapp/Mobile:+86 15359273791″

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