Industry Application Scenarios for the M2M Modem
M2M modems are widely used in highly integrated and diversified Internet of Things scenarios. Provide customers with cost-effective networking deployments,For example, vehicle networking, smart medical, industrial networking, smart security, smart ports, new media video transmission and other fields.
M2M modems provide high-bandwidth, low-latency, and highly reliable wireless network connectivity for IoT devices and sensors.The product has abundant industrial interfaces, which is convenient for the access of field devices of the Internet of Things, and can connect serial Ethernet devices at the same time. It supports TCP/UDP/HTTP protocol, SMS work mode, user-defined identity and heartbeat packets, 2 sockets connection. The under neath device FTP up grade and remote self, update, can quickly realize the application construction of the Internet of Things industry.
Industry 4.0 opens the door of industrial transformation and realizes the interconnection of people and things, things and things. As an important support carrier for smart factories, cellular networks will "get through" all factors of production and cooperate with intelligent technology. To achieve efficient synergy among different factors of production, so as to improve production efficiency. It meets the needs of intelligent perception, ubiquitous connection, real-time analysis and precise control of intelligent factories. It realizes the centralization of operation space in manufacturing links, the mechanization of operation posts, the remote operation and maintenance assistance, and the online service links. To liberate employees from the scene, to achieve fewer and unmanned operations, and thoroughly solve the current pain points in the field of industrial manufacturing. To sum up, the overall improvement of 5G network performance will give more possibilities to industrial manufacturing. Industry 4.0 will bring three major demands to the industrial Internet, namely, "replacing solid with mobile", "electromechanical separation" and "machine replacement".
M2m modems + industry application scenario
Machine Vision-Defect Detection
In the intelligent production workshop, the quality inspection of products is still in the stage of manual naked eye processing, facing inefficiency. Moreover, there are some problems, such as the defect is difficult to trace back, and the defect detection rate is obviously affected by the status of personnel. With m2m modems, it can upload the picture information of the object to be detected through the ultra-high definition industrial camera to the cloud for image recognition and analysis. It realizes real-time defect detection and automatic sorting, and can effectively record the defects of the articles to be detected. And provide a data analysis basis for trace that defect causes.
Machine Vision-Spatial Guidance
In the fully automatic assembly and production process of the intelligent factory,It involves automatic assembly, automatic welding, automatic packaging, automatic filling, automatic spraying and other automatic execution mechanisms. The spatial guidance function of machine vision is irreplaceable, which involves the transmission of information such as location and environmental modulus signals in the process of guidance.The frequency is high and the amount of data is large, which is exactly what the 56 network characteristics can meet with the use of 5G large uplink bandwidth and high reliability. The wireless spatial guidance function of the automatic actuating mechanism can be realized so as to provide the mechanical and electrical separation of the mechanical kidney in the factory. Flexible deployment provides the basis for wireless communication support.
Machine Vision-OCR Recognition
OCR recognition based on machine vision is commonly used in nameplate recognition, bar code recognition, number plate recognition and other related fields in industrial production lines. Which is used for quickly and effectively carrying out digital processing on characters formed in the industrial production process. Through the m2m modem, it carries a large amount of data to be transmitted in the production workshop. The pictures with characters are uploaded to the cloud computing platform for OCR recognition and detection. At the same time, the cloud computing capability of edge computing can effectively reduce OCR recognition time, improve recognition accuracy and reduce the cost of factory deployment.
Remote Field-AR Operation and Maintenance Assistance
The operator wears AR glasses and transmits the field operation to the remote experts in real time through the m2m modem. Experts from different places watch live videos through PC, mobile phone and other platforms and give voice guidance. Operators operate and communicate by receiving voice and annotation guidance from experts in different places.Technical experts grasp every detail as if they were on the spot. And can guide a field photographer to carry out troubleshooting through real-time voice or text messages, thereby not only saving the maintenance cost. It also realizes the skill replication of experts and solves the problem of shortage of technical experts.
Remote Field-VR Complex Assembly
By building a virtual VR working environment close to reality, the system enables employees to be familiar with and master new working skills. There will be a prompt tutorial throughout the process, "hand-in-hand" to teach employees the technical essentials, pay attention to details and so on. Employees need to actually participate in the training process of operation skills, wear VR glasses, and practice freely with both hands. VR glasses will give comprehensive tips, introductions, guidance and judgments through m2m modems in close combination with actual equipment and scenes.
Remote Control-AGV Control
AGV is widely used in electronics, machinery, cigarette, textile, paper and other manufacturing industries. In the production process of these industries,It has higher requirements for AG's mobile precision control, group control cooperation and intelligent scheduling. With the low latency and high reliability of m2m modems, mobile control will be more accurate and data return will be smoother. AGV will be able to connect with massive intelligent devices of the Internet of Things to help flexible manufacturing, intelligent production and intelligent management. To meet the application needs of intelligent handling, warehousing and automated operation in manufacturing, logistics, inspection and other fields.
Remote Control-Robot Control
Utilizing the low delay characteristic of the m2m modems, the field data of the industrial robot is transmitted to the control platform through the m2m modems. Realize the remote control of the robot in the cloud for 7, 7 and 24 hours. Cooperate with that remote control platform of the m2m modem robot. Engineers and technicians can remotely realize PLC program upgrading, data collection and analysis, fault diagnosis and other functions. It enables engineers and technicians to remotely serve industrial robots all over the country in the production base.Reduce costs and increase efficiency for production, operation and maintenance of equipment manufacturing enterprises.
Remote Control-In-Plant Line Equipment Control
In order to achieve the goal of flexible deployment of production line control components in the factory. The intelligent factory PLC (including site PLC and production line PLC) is softwareized and deployed to the cloud together with MES, SCADA, robot cooperative scheduling and other software. At the same time, m2m modems are installed on the corresponding parts of the automatic mechanical equipment. The wireless access of modules, conveyor belts, valve robots and other components is realized by using the characteristics of low delay and high reliability. Finally, the centralized control and flexible production of the production workshop are realized.
5G+PLC
In the process of production, m2m modems are used to realize the data transmission between PLCs and between PLCs and the system in the factory.While ensuring data security and real-time, it can reduce the cost of wiring in the workshop, quickly realize the matching of production line capacity, and help flexible manufacturing. At the same time, the data of CNC machine tools, three-dimensional warehouses, manufacturing lines and other equipment gathered in PC are transmitted to the big data platform through m2m modems. Data mining and analysis to assist industrial enterprises to optimize the process, capacity and energy consumption.
Production Safety Behavior Analysis
Production safety behavior analysis uses front-end cameras to collect on-site video in the production area of the factory. The high-speed real-time return of video is realized through m2m modems, and the structured analysis of video is carried out by combining AI+computer vision technology. A model is used for real-time reasoning, and corresponding instructions are output according to the results of video analysis. It can realize high-precision identification of workers'behavior, detection of dangerous equipment working conditions, custom alarm area monitoring, video traceability and other functions. So as to provide a guarantee basis for the safety production management of the plant area.
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