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Active suspension can take into account the smoothness and handling stability of the car, while in the traditional passive suspension design, smoothness and handling stability are often difficult to take into account, and generally have to take a compromise approach.When the load quality changes or road conditions change, the active suspension can ...
IVI can realize a series of applications including 3D navigation, real-time road conditions, IPTV, assisted driving, fault detection, vehicle information, body control, mobile office, wireless communication, online-based entertainment functions and TSP services, which greatly enhance the level of vehicle electronics, networking and intelligence. Ne...
The power system of a car is the whole process of mechanical arrangement in which the power generated by the engine is transmitted to the wheels through a series of power transmissions. The engine runs, in fact, the crankshaft is rotating, and one end of the crankshaft ...

A Comprehensive Analysis of The Qualcomm QCS8250 Chip
The premium-tier QCS8250 processor is designed to help deliver maximum performance for compute intensive camera and Edge AI applications with Wi-Fi 6 and 5G for the Internet of Things (IoT). Here is a comprehensive analysis of the Qualcomm QCS8250 chip.
I. Basic information of the QCS8250 chip
1. Manufacturer and release time
QCS8250 was developed by Qualcomm Technologies, Inc. and first released in June 2021. It is designed for high-end edge AI and Internet of Things (IoT) devices. Its subsequent iterations will be further optimized and expand the application scenarios in 2024.
2. Core architecture and process
Process technology: Using 7nm FFP (FinFET Plus) process to balance performance and power consumption.
CPU: Eight-core Kryo 585 architecture (4×2.85GHz high-performance core + 4×1.8GHz energy-efficient core), compatible with Arm V-8 instruction set.
GPU: Adreno 650, supports 8K video encoding and decoding and 64MP image processing.
AI acceleration unit:
NPU 230 (neural processing unit): optimized for machine learning, supports INT8 precision operations.
Hexagon DSP (V66Q quad-core): for low-power signal processing and AI reasoning.
Connectivity: integrated 5G modem (Sub-6GHz/mmWave), Wi-Fi 6 (2×2 MIMO), Bluetooth 5.1.
Memory and storage: support LPDDR5/LPDDR4x (up to 16GB), UFS 3.0+SD 3.0 storage.
3.Highlights
Superior camera support
Feature packed with an advanced Image Quality (IQ) and support for up to 7 cameras running concurrent AI models. Also, support for up to three 4K displays with independent content plus intelligent zoom in and out. Up to 8K video encode/decode, and up to 64 megapixel photo capture and video capturing for exception high-definition videos.
Powerful Edge AI and video analytics
This processor contains a dedicated CV hardware block and Hexagon Tensor Accelerator delivering a whopping 15 TOPS of AI performance for compute intensive enterprise and commercial IoT applications. Heterogenous computing of sensor inputs from camera, audio, Bluetooth® and hubs deliver a power optimized enterprise grade experience.
Supports 5G and Wi-Fi 6
Supporting the broadest set of wired and wireless connectivity options including including 5G mmWave and sub-6Ghz (up to 7.5 Gbps), Wi-Fi 6 and Bluetooth 5.1 for a variety of enterprise and commercial IoT applications. Also support for popular cloud applications for distributed AI model use cases.
Wide range of interfaces and peripherals support
Rich set of interfaces such as 2x USB 3.1, Type-C with DisplayPort, MIPI-CSI/DSI, PCIe (3-lane), and memory support interfaces for LPDDR4x/LPDDR5 – suited for industrial and commercial IoT applications.
Flexible design options to accelerate faster time to commercialization
To give you flexibility in your design, our ecosystem partners offer full form factor reference designs, development board offerings for prototyping, or off-the-shelf system-on-module (SoM) solutions, to chip-onboard designs – all to enable ease of development and accelerate commercialization and scale.
2. How to achieve 15 TOPS performance
The 15 TOPS (trillion operations per second) AI computing power of QCS8250 is achieved through the collaboration of heterogeneous computing architecture:
1. The core role of NPU 230
Designed for neural networks, it supports real-time reasoning tasks (such as target detection and image segmentation).
Improve efficiency through dedicated hardware acceleration of matrix multiplication and convolution operations.
2. Hexagon DSP auxiliary optimization
The quad-core HVX V66Q vector extension unit handles low-precision (INT8) parallel computing and reduces power consumption.
Supports model compression and dynamic quantization to reduce bandwidth requirements.
3. Collaborative acceleration of Adreno GPU
In addition to graphics rendering tasks, the GPU participates in some AI reasoning (such as OpenCL acceleration).
4. Heterogeneous computing framework
Qualcomm AI Engine dynamically allocates tasks to NPU, DSP, and GPU to maximize computing power.
3. Technical requirements of high-end edge AI devices and the adaptability of QCS8250
1. Core requirements
Balance between high performance and low power consumption: It is necessary to support real-time reasoning of complex AI models (such as ResNet-50, YOLOv5) while meeting the heat dissipation restrictions of the device.
Multimodal input support: It is necessary to process multi-camera video streams and sensor data fusion (such as visual + temperature data in industrial quality inspection).
High-speed connectivity: Rely on 5G/Wi-Fi 6 to achieve low-latency data transmission.
Security and reliability: Hardware-level encryption (such as SPU module) and long-term software and hardware support (≥8-year life cycle) are required.
2. QCS8250's adaptation advantages
Heterogeneous computing capabilities: CPU+GPU+NPU+DSP collaboration to meet multi-task parallel requirements (such as video analysis + voice recognition).
Camera and display support:
Up to 7 AI cameras concurrently or 24 video streams input.
Support three-way 4K heterogeneous display (such as multi-screen interaction of retail digital signage).
Energy efficiency ratio: Power consumption optimization under 15 TOPS computing power, suitable for fanless design scenarios (such as industrial handheld devices).
Long-term availability: Qualcomm promises at least 8 years of software and hardware maintenance cycle to ensure stable operation of enterprise-level equipment.
4. Typical application cases of QCS8250 in edge computing scenarios
1. Smart retail
Multitasking: Supports product scanning, payment processing, and anti-theft monitoring at the same time (such as real-time analysis of customer behavior through 7 cameras).
Personalized experience: AI-based customer portrait generation and dynamic product recommendation.
2. Video collaboration and conference system
Multi-camera fusion: Support 8K video encoding (30fps) and multi-view switching (such as remote medical consultation).
Intelligent noise reduction: Hexagon DSP processes audio streams to eliminate environmental noise.
3. Industrial automation and quality inspection
Machine vision: High-precision defect detection (such as semiconductor wafer quality inspection) is achieved through ISP (image signal processor).
Predictive maintenance: Combine sensor data to train edge models and predict equipment failures.
4. Smart city and transportation
Fleet management: Real-time analysis of vehicle location, fuel consumption, and driver behavior.
Intelligent monitoring: Crowd density monitoring and abnormal event warnings are achieved through 24 video streams.
5. TOPS comparison of similar edge AI chips
Although the 15 TOPS of QCS8250 is lower than Hailo-8 and Siyuan 220, its heterogeneous architecture is more suitable for multimodal tasks (such as video + audio + sensor fusion).
In terms of connectivity, QCS8250 has significant advantages in 5G/Wi-Fi 6 integration (such as telemedicine and Internet of Vehicles scenarios).
Compared with the NVIDIA Jetson series, the software and hardware ecosystem of QCS8250 is more inclined towards enterprise-level IoT, while Jetson focuses on developer communities and robotics applications.
Summary
QCS8250 has become a benchmark solution for high-end edge AI devices with its 15 TOPS heterogeneous computing power, multimodal processing capabilities, and full-scenario connectivity. Its successful application in smart retail, industrial quality inspection and other fields demonstrates Qualcomm's technological leadership in the AIoT market. Although it is not as good as some competitors in terms of pure computing power, its comprehensive performance, energy efficiency ratio and long-term support strategy give it a unique advantage in the enterprise market. In the future, as edge AI develops towards multimodality and low latency, the architectural design of QCS8250 will continue to drive industry innovation.
Apr 21, 2025

What is a Stator? Key Component and Functionality in Electric Motors and Generators
The stator is the crucial stationary component of an electric motor or generator, typically present in generators, motors, sirens, mud motors, or biological rotors. In both motors and generators, the stator works in conjunction with the rotor to achieve the conversion of electrical energy and the generation of mechanical energy. This article will explore in detail the definition, components, working principle, and applications of the stator in electrical equipment.
What is a Stator
A stator is the fixed part of a motor or generator. It consists of key components such as the stator core, stator windings, and the frame, and its main function is to generate a rotating magnetic field, which is a key step in the conversion between electrical and mechanical energy.
Components
1. Core
The stator core is usually made of multiple thin silicon steel sheets stacked together, which provide good magnetic conductivity and reduce losses. These silicon steel sheets effectively conduct the magnetic field while reducing eddy current losses, improving motor efficiency. The core's structural design is well-suited to fixing the windings and withstanding electromagnetic torque.
2. Windings
The stator windings are coils made from insulated wires wound in a specific shape and manner. When these coils are energized, they generate a magnetic field, which is crucial for converting electrical energy into magnetic energy. Based on the phase of the power supply, the windings can be classified into single-phase and three-phase types. The materials and winding methods directly affect the motor's performance, such as electromagnetic torque, efficiency, and stability.
3. Frame
The frame is the outer shell of the stator, typically made from cast iron or cast steel. The frame not only supports and protects the entire stator but also supports the rotor through bearings, allowing the rotor to rotate freely inside the stator. The design and manufacturing quality of the frame play an important role in the operational stability and reliability of the motor.
Working Principle
In a motor, when alternating current flows through the stator windings, a rotating magnetic field is produced. This rotating magnetic field interacts with the current in the rotor to generate electromagnetic torque, driving the rotor to rotate, thus converting electrical energy into mechanical energy. In a generator, the process is reversed. External mechanical force drives the rotor to rotate, and the magnetic field in the rotor cuts through the stator windings to generate an induced voltage, converting mechanical energy into electrical energy.
Applications in Electrical Equipment
The stator is widely used in various types of motors and generators and is a key component for their proper operation. In industrial production, motors work through the collaboration of the stator and rotor to drive various mechanical equipment. In the power generation field, generators use the stator to convert mechanical energy into electrical energy, which is supplied to the power grid and users.
Moreover, with the advancement of technology and the development of manufacturing, the materials and manufacturing processes of the stator have been continuously improved to enhance its heat resistance, wear resistance, and corrosion resistance. At the same time, the optimization of motor design and structure has further promoted the performance of the stator, leading to broader applications of motors across different fields.
In conclusion, the stator is an indispensable key component in motors and generators, playing a crucial role in the conversion between electrical and mechanical energy by generating a rotating magnetic field. The stator's complex structure and critical function directly impact the efficiency and reliability of motor operation. With the progress of technology and advancements in manufacturing, the materials and manufacturing processes of the stator will continue to improve and enhance, meeting the growing market demands and application scenarios.
FAQs
1. What is the purpose of a stator?
To generate a rotating magnetic field, enabling energy conversion in motors and generators.
2. Is a stator the same as an alternator?
No, a stator is a part of an alternator. The alternator uses the stator to generate AC power.
3. What happens when a stator goes bad?
It can cause motors to overheat, lose power, or fail to start, and generators may produce erratic power.
4. What is the primary function of a stator?
To produce a magnetic field for energy conversion between electrical and mechanical forms.
5. What is the difference between a motor and a stator?
A stator is a part of a motor. The motor is the whole device, while the stator is its stationary magnetic field generator.
6. Does a stator produce AC or DC?
A stator produces AC, which may be converted to DC in certain applications.
Apr 14, 2025
Top 15 Industrial Automation Companies In 2025
As of 2025, the industrial automation industry continues to evolve rapidly, driven by advancements in AI, robotics, IoT, and smart manufacturing. The top companies in the sector are not only focused on automation hardware (like robotics, sensors, and PLCs) but also on software solutions, AI integration, and end-to-end digital transformation. Here are the top 15 industrial automation companies:
1. Siemens AG
- Headquarters: Germany
- Key Focus: Industrial automation, digitalization, factory automation, smart grids, and automation software.
- Notable Products: SIMATIC PLC, MindSphere (IoT platform), SINAMICS drives, and process automation solutions.
2. Rockwell Automation
- Headquarters: United States
- Key Focus: Industrial automation and information technology solutions, advanced analytics, and cloud integration.
- Notable Products: Allen-Bradley PLCs, FactoryTalk software, and industrial IoT solutions.
3. Schneider Electric
- Headquarters: France
- Key Focus: Energy management, industrial automation, IoT integration, and digital transformation.
- Notable Products: EcoStruxure platform, variable frequency drives, and building automation solutions.
4. ABB Ltd.
- Headquarters: Switzerland
- Key Focus: Robotics, automation, electrification, and digitalization across industries.
- Notable Products: ABB Ability, YuMi collaborative robots, and industrial automation systems.
5. Mitsubishi Electric
- Headquarters: Japan
- Key Focus: Factory automation, robotics, and industrial control systems.
- Notable Products: MELSEC PLCs, industrial robots, and FA (Factory Automation) products.
6. Honeywell International Inc.
- Headquarters: United States
- Key Focus: Process control, industrial automation, and cybersecurity solutions.
- Notable Products: Honeywell Experion PKS, Industrial IoT solutions, and Process Automation products.
7. Emerson Electric Co.
- Headquarters: United States
- Key Focus: Automation for process industries, manufacturing, and data analytics.
- Notable Products: DeltaV control systems, Ovation for power generation, and industrial automation solutions.
8. Yokogawa Electric Corporation
- Headquarters: Japan
- Key Focus: Industrial automation, process control, and IT solutions for industrial operations.
- Notable Products: CENTUM VP, ProSafe-RS, and various process automation solutions.
9. FANUC Corporation
- Headquarters: Japan
- Key Focus: Robotics, CNC systems, and industrial automation solutions for manufacturing.
- Notable Products: Robotic arms (collaborative and industrial), CNC controls, and automation systems for various industries.
10. Siemens Digital Industries Software (formerly Mentor Graphics)
- Headquarters: United States (part of Siemens)
- Key Focus: Digital transformation, automation, and industrial software solutions for design, manufacturing, and operations.
- Notable Products: NX, Teamcenter, and SIMATIC automation software solutions.
11. Keyence Corporation
- Headquarters: Japan
- Keyence is known for its cutting-edge sensing, vision systems, measurement instruments, and automation equipment, widely used in factory and process automation.
12. KUKA Robotics
- Headquarters: Germany
- A leading robotics company, KUKA specializes in automation and robotics solutions for manufacturing, especially in the automotive and electronics sectors.
13. Bosch Rexroth
- Headquarters: Germany
- Bosch Rexroth offers automation solutions in factory automation, mobile applications, and process automation, emphasizing hydraulics, pneumatics, and motion control systems.
14. Bentley Systems
- Headquarters: USA
- Bentley provides digital solutions for the design, construction, and operation of infrastructure, integrating industrial automation with engineering design software.
15. WAGO Kontakttechnik
- Headquarters: Germany
- WAGO offers automation products including programmable controllers, connectors, and communication technology, with a focus on industrial communication and control solutions.
These companies are at the forefront of industrial automation, driving technological advancements such as Industry 4.0, digital twins, AI-driven processes, and intelligent robotics. Their offerings span industries from manufacturing to energy to logistics, providing key tools for efficient, sustainable, and high-performance production systems.
Key Trends Driving the Industry in 2025:
- AI Integration: More advanced AI applications, such as predictive maintenance, anomaly detection, and autonomous robots.
- 5G and IoT: Increased adoption of 5G networks for real-time data communication, enabling more efficient IoT systems.
- Sustainability: Focus on energy efficiency and reducing environmental impact, with automation solutions for cleaner production processes.
- Edge Computing: Edge devices for faster data processing at the source, reducing latency in automation systems.
Jan 09, 2025

What Is The Role of HMI In Smart Manufacturing and Industrial Automation?
In the era of Industry 4.0, the integration of advanced technologies into manufacturing systems is revolutionizing the way industries operate. One of the most crucial components in achieving seamless operations is the Human-Machine Interface (HMI). HMI plays a pivotal role in enabling operators and engineers to interact with machines, systems, and processes in smart manufacturing and industrial automation. But what exactly is HMI, and why is it so important in modern manufacturing?
Defining HMI
The Human-Machine Interface (HMI) is a user interface or dashboard that connects operators or users to machines, devices, and control systems within industrial environments. It serves as a communication bridge between humans and machines, allowing the user to monitor and control the operations of automated systems efficiently.
HMI systems typically consist of graphical displays, touchscreens, and input devices such as buttons or keyboards. These systems can range from basic, standalone units to more sophisticated, networked solutions capable of controlling complex manufacturing processes.
Role of HMI in Smart Manufacturing
Smart manufacturing is characterized by the use of data, sensors, cloud computing, and real-time analytics to enhance production efficiency, flexibility, and decision-making. HMI plays a vital role in this transformation by enabling operators to interact with the vast array of data collected from machines, sensors, and other automated systems.
1. Monitoring and Visualization:
One of the primary functions of HMI is to provide real-time data visualization. It allows operators to observe key performance indicators (KPIs), production metrics, machine statuses, and alarms. Through intuitive graphical representations such as charts, gauges, and maps, operators can quickly identify issues, track progress, and make informed decisions.
2. Control and Interaction:
HMI systems allow users to send commands to machines or automation systems. Operators can adjust settings, start or stop processes, modify variables, and perform diagnostic tasks. This level of control is essential for optimizing production efficiency, ensuring product quality, and reducing downtime.
3. Data Integration and Decision-Making:
In smart manufacturing, data is generated at every stage of production. HMI serves as the interface for operators to access and interpret this data in real-time. The integration of HMI with advanced technologies such as the Industrial Internet of Things (IIoT) enables operators to make proactive, data-driven decisions based on insights from production data.
4. Enhanced Operator Efficiency:
With advanced HMIs, operators can access relevant information with greater ease. Modern HMI solutions are designed to be user-friendly and highly customizable, offering touch interfaces, alarms, and remote access options that increase the operator’s effectiveness and reduce human error.
5. Remote Monitoring and Maintenance:
Remote access is a growing trend in smart manufacturing, enabling operators and technicians to monitor and control machines from virtually anywhere. HMI systems often feature cloud connectivity, allowing for real-time diagnostics, troubleshooting, and predictive maintenance. This reduces the need for on-site interventions and ensures that issues can be addressed before they lead to major disruptions.
HMI in Industrial Automation
Industrial automation refers to the use of control systems such as computers, robots, and information technologies to handle various industrial processes and machinery. HMI is integral to industrial automation as it allows for seamless communication between operators and automated systems.
1. Integration with SCADA Systems:
HMI is often used in conjunction with Supervisory Control and Data Acquisition (SCADA) systems to monitor and control industrial processes. SCADA systems gather real-time data from sensors and equipment, and the HMI provides operators with a visual interface to interpret and manage that data. The integration of these systems enables centralized control of complex automated processes, increasing operational efficiency and safety.
2. Safety and Compliance:
In industrial automation, safety is paramount. HMI systems help ensure compliance with safety standards by providing operators with the necessary tools to manage alarms, emergency stops, and fault detection. Additionally, many HMIs include features like role-based access controls, which limit access to certain functions, helping prevent accidental or malicious interference with critical processes.
3. Customization and Scalability:
As manufacturing processes vary across industries, HMI systems can be customized to meet the specific needs of each application. Whether it's a small manufacturing line or a large-scale industrial plant, HMI systems can scale and adapt to different types of automation, offering flexible control for diverse environments.
The Future of HMI in Smart Manufacturing
As Industry 4.0 continues to evolve, so too will the role of HMI. The future of HMI in smart manufacturing is closely tied to emerging technologies such as Artificial Intelligence (AI), augmented reality (AR), and machine learning.
1. AI and Machine Learning Integration:
AI-powered HMI systems will be capable of making real-time decisions based on large volumes of data. These systems will be able to predict potential failures, suggest optimizations, and even autonomously adjust machine parameters to improve performance.
2. Augmented Reality:
Augmented Reality (AR) is set to revolutionize how operators interact with machines. By overlaying digital information over the physical world, AR-enabled HMIs could provide real-time troubleshooting assistance, step-by-step maintenance guides, and intuitive visual controls.
3. Increased Automation and IoT:
As the Internet of Things (IoT) connects more devices in the industrial ecosystem, HMI systems will need to handle an exponentially growing amount of data. Advanced HMIs will offer seamless integration with IoT networks, allowing operators to manage multiple machines and processes simultaneously with greater ease.
4. Voice and Gesture Control:
The use of voice commands and gesture recognition technology will further enhance HMI systems, allowing for hands-free operation and greater flexibility. This is especially useful in environments where operators need to maintain focus on physical tasks while still managing complex systems.
Conclusion
In summary, HMI is a critical element in the landscape of smart manufacturing and industrial automation. It serves as the vital interface between human operators and machines, providing real-time data visualization, control, and decision-making capabilities. As manufacturing continues to advance, HMI systems will evolve to accommodate new technologies, ensuring that industries remain efficient, safe, and competitive in the era of smart manufacturing. With the integration of AI, AR, and IoT, the future of HMI promises even more powerful and intuitive tools for managing automated systems and driving industry forward.
Jan 09, 2025
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