Supervision system for controlling industrial data acquisition gateway by laser

Abstract

The invention discloses a supervisory system for a laser-controlled industrial data acquisition gateway. The supervisory system comprises a gateway equipment acquisition module, an environment acquisition module, an installation acquisition module, an image acquisition module, an access equipment acquisition module, a data processing module and an information sending module, the gateway equipment acquisition module is used for acquiring gateway equipment information; the environment acquisition module is used for acquiring environment information of the gateway equipment; the installation acquisition module is used for acquiring installation related information of the gateway equipment; the image information acquisition module is used for acquiring image information of gateway equipment; the access equipment acquisition module is used for acquiring related information of access equipment; and the data processing module is used for processing the gateway equipment information to obtain gateway equipment supervision information. According to the invention, more comprehensive and intelligent supervision of the laser control industrial data acquisition gateway can be carried out.

Description

Technical Field

[0001] The invention relates to the field of supervision systems, and in particular to a supervision system for a laser controlled industrial data acquisition gateway. Background Art

[0002] As industrial production is increasingly moving towards automation and intelligence, lasers, as key processing equipment, are widely used in many fields such as automobile manufacturing, semiconductor processing, shipbuilding, laser medical treatment, etc. Its supporting industrial data acquisition gateway plays a core hub role, responsible for gathering and transmitting various laser equipment operating data, environmental parameters, and interactive instructions with external control systems, etc., to ensure the accurate and efficient operation of the entire laser control system; Therefore, it is necessary to use the data acquisition gateway supervision system to perform intelligent supervision on the data acquisition gateway.

[0003] The existing supervision system has problems such as poor equipment adaptability, insufficient operation stability and greater security risks, which have a certain impact on the use of the supervision system. Therefore, a supervision system for laser controlled industrial data acquisition gateway is proposed. Summary of the invention

[0004] The technical problem to be solved by the present invention is: how to solve the problems of poor equipment adaptability, insufficient operating stability and greater security risk threats in the existing supervision system, which has a certain impact on the use of the supervision system. A supervision system for a laser controlled industrial data acquisition gateway is provided.

[0005] The present invention solves the above technical problems through the following technical solutions, which include a gateway device acquisition module, an environment acquisition module, an installation acquisition module, an image acquisition module, an access device acquisition module, a data processing module and an information sending module; The gateway device collection module is used to collect gateway device information; The environment collection module is used to collect the environment information of the gateway device; The installation collection module is used to collect installation related information of the gateway device; The image information acquisition module is used to acquire image information of the gateway device; The access device collection module is used to collect relevant information of the access device; The data processing module is used to process the gateway device information and obtain the gateway device supervision information; Process the environment information of the gateway device to obtain environmental supervision information; Process the installation-related information to obtain installation supervision information; Process the image information of the gateway device and obtain the device warning information; Process the relevant information of the access device to obtain the access device supervision information; The information sending module is used to send the gateway device supervision information, environmental supervision information, installation supervision information, device warning information and access device supervision information to a preset receiving terminal after the above information is generated.

[0006] Furthermore, the specific process of the gateway device supervision information is as follows: Extract the collected gateway device information, which includes device model information, device processor occupancy information, device memory occupancy information and device network status information; Extract the device model information, compare the device model information with the pre-stored adaptation standard model library of the system, and verify whether the current gateway device model meets the functional requirements of the industrial scenario and whether it is a recommended or compatible model; When it cannot meet the functional requirements of the industrial scenario or is a non-recommended or compatible model, the gateway device supervision information is generated; Extract the device processor occupancy information, process the device processor occupancy information, obtain the processor occupancy parameters, and generate gateway device supervision information when the processor occupancy parameters are abnormal; Extract the device memory usage information, process the device memory usage information, obtain the memory usage parameters, and generate gateway device supervision information when the memory usage parameters are abnormal; The device network status information is extracted and processed, and when the device network status information is abnormal, the gateway device supervision information is generated.

[0007] Furthermore, the process of obtaining the processor occupancy parameter and determining anomalies is as follows: The device processor occupancy information is collected once every preset time, and the collection is continued for m times. When the device processor occupancy information is greater than the preset value a1, the state is marked as a high occupancy state, and the number of running applications in the high occupancy state is extracted. When the number of running applications in the high occupancy state is less than the preset value, it is recorded as an abnormal behavior. Then, the number of abnormal behaviors in m times is extracted, and the first processor parameter is obtained; Then, the number of times that the device processor occupancy information is greater than the preset value a2 is extracted, and the second processor parameter is obtained; The first processor parameter and the second processor parameter constitute a processor occupancy parameter; When the first processor parameter is greater than the preset value or the second processor parameter is greater than the preset value, it indicates that the processor occupancy parameter is abnormal; The process of obtaining the memory usage parameter and determining the abnormality is as follows: the memory usage information of the device is continuously monitored in a single monitoring cycle, and the duration of the device memory usage information being greater than the preset value is recorded, and the memory usage parameter is obtained. When the memory usage parameter is greater than the preset value, it indicates that the memory usage parameter is abnormal; The process of determining whether the device network status information is abnormal: extracting the device network status information, which includes the device transmission speed, the device network signal strength and the packet loss rate; When the device transmission speed is lower than the preset value for more than the preset time, the device network signal strength is lower than the preset value for more than the preset time, or the packet loss rate is higher than the preset value for more than the preset time, it indicates that the device network status information is abnormal.

[0008] Furthermore, the specific process of obtaining the installation supervision information is as follows: Extract the collected installation-related information, including the three-dimensional coordinate information of the laser control industrial data acquisition gateway, the installation stability of the laser control industrial data acquisition gateway, and the number of obstacles within a preset range of the laser control industrial data acquisition gateway; When the three-dimensional coordinate information of the laser control industrial data acquisition gateway and the standard three-dimensional coordinate information of the laser control industrial data acquisition gateway when it is installed exceed the preset range, the installation supervision information is generated; Extract the installation stability of the laser control industrial data collection gateway. When the installation stability of the laser control industrial data collection gateway is abnormal, the installation supervision information is generated. When the number of abnormal obstacles within the preset range of the laser control industrial data acquisition gateway is greater than the preset value, installation supervision information is generated.

[0009] Furthermore, the process of obtaining the installation stability of the laser control industrial data acquisition gateway is as follows: Vibration and pressure sensors are used to monitor the stability of the connection between the device and the mounting base: When the laser control industrial data acquisition gateway is running, the vibration frequency, amplitude exceeding the standard or pressure size is detected by the vibration sensor and pressure sensor. When the vibration frequency is greater than the preset value, the amplitude exceeds the standard or the pressure fluctuates beyond the preset amplitude, it means that the installation stability of the laser control industrial data acquisition gateway is abnormal; The process of obtaining abnormal obstacles is as follows: extract image information, use computer vision technology and deep learning algorithms to analyze the collected image data, and identify abnormal obstacles within the preset range of the equipment; Abnormal obstacles are obstacles that may affect heat dissipation, signal transmission or daily maintenance operations. If large metal components are found to block the signal transmission path, heat sources that are too close to the equipment (less than the safe distance of 30 cm) affect heat dissipation, or maintenance passages are blocked by debris, the type, location, degree of hazard and other detailed information of these obstacles will be integrated into the installation supervision information to remind the operation and maintenance personnel to clean up or adjust the layout in time to ensure the external conditions for the long-term stable operation of the gateway equipment.

[0010] Furthermore, the process of obtaining the environmental supervision information is as follows: Extract the collected environmental information, including environmental temperature information, environmental humidity information, environmental vibration force, and environmental electromagnetic interference intensity; When any one of the ambient temperature information, ambient humidity information, ambient vibration force, and ambient electromagnetic interference intensity is greater than a preset value, environmental supervision information is generated; When any one of the environmental temperature information, environmental humidity information, environmental vibration force, and environmental electromagnetic interference intensity exceeds the warning value for a preset period of time, environmental supervision information is generated; The warning value is less than the preset value.

[0011] Furthermore, the process of obtaining the device warning information is as follows: Extract the image information of the gateway device, first perform a human body detection analysis process on the image information of the gateway device, and use a deep learning-based target detection algorithm for human body detection, such as the YOLO (YouOnlyLookOnce) series model or the SSD (SingleShotMultiBoxDetector) model. These models have been trained with a large amount of industrial scene image data containing human posture and appearance, and can quickly and accurately identify human targets in image frames. When a human body is detected in a preset sensitive area near the gateway device (such as an operation and maintenance area within 1 meter of the device, or a 0.5-meter area around the key heat dissipation and electrical connection parts of the device), and the continuous stay time exceeds the set time (such as 30 seconds), it is determined that there may be a risk of human error or safety hazards, and immediately generate a device warning message containing detailed information such as the human body position coordinates, appearance time, and duration, prompting security personnel or operation and maintenance personnel to check to prevent personnel from accidentally touching the equipment and causing damage or interfering with the normal operation of the equipment; The image information of the gateway device is analyzed for insects, and image recognition technology optimized for small insect targets is used. Since common insects in industrial environments are small in size, flexible in movement, and diverse in form, high-resolution image acquisition combined with a multi-scale feature extraction algorithm is used to screen and identify tiny targets in the image. By comparing the pre-established common industrial insect library (covering the sample characteristics of insects that may affect the equipment, such as cockroaches, moths, and ants), when insects are identified to gather in preset locations, such as the surface of the gateway device, heat dissipation holes, wiring ports and other key parts, and the number reaches the threshold (such as more than 5 moths gathered around a single heat dissipation hole, or more than 10 ants crawling on the surface of the device), it means that insects may invade and cause short circuits, heat dissipation obstruction and other problems. Then, a device warning message is generated, detailing the insect type, distribution location, and estimated degree of harm, so that operation and maintenance personnel can take timely insect repellent and cleaning measures to ensure the electrical safety and heat dissipation performance of the equipment; The image information of the gateway device is analyzed for insects. In terms of rodent analysis, considering that rodents are relatively large in size but agile and good at hiding, the data processing module uses an algorithm that combines dynamic target tracking and morphological recognition to extract moving targets in the image based on the background difference method, and then matches the target's outline, size and motion trajectory characteristics with the standard model of rodents; If suspected rodents are found shuttling around the bottom of the gateway device, gnawing on the cable sheath, or attempting to drill into the device, and these behaviors occur multiple times within a certain period of time (such as within 5 minutes), it is determined that there is a risk of rodent infestation, and a device warning message is generated, indicating key information such as the rodent activity path and the parts of the cables that may be damaged, prompting operation and maintenance personnel to deploy rodent control facilities to protect the equipment cables and internal structures from damage, thereby ensuring the stable operation of the gateway device.

[0012] Furthermore, the specific process of processing the relevant information of the access device to obtain the access device supervision information is as follows: Access device related information includes access time information and access port status information; Extract access time information, which is the timestamp and online duration of each access device's first access to the gateway. By setting the maximum allowed offline duration threshold (such as 10 minutes), if the access device suddenly goes offline and exceeds the threshold, access device supervision information is generated. Combined with network connection status monitoring data, it is determined whether the disconnection is caused by device failure, loose network cable, or gateway software problem. If it is determined that the device itself is faulty, access device supervision information containing device name, access port, offline duration, etc. is generated to quickly locate the faulty device, repair or replace it in time, and ensure system continuity; The status information of the access port is analyzed, and the feedback data of the port detection circuit and the monitoring results of the port handshake protocol at the software level are analyzed. Under normal circumstances, the access port should be in a stable open state with normal data exchange. If a port is frequently disconnected or has data transmission errors (such as a CRC check error rate of more than 5%), it means that there may be problems such as poor hardware contact and electromagnetic interference. The access device supervision information is generated, and the problem port number and fault manifestation are clearly pointed out to guide the operation and maintenance personnel to carry out targeted maintenance to ensure that the communication link between the access device and the gateway is unobstructed.

[0013] Compared with the prior art, the present invention has the following advantages: the monitoring system of the laser-controlled industrial data acquisition gateway can avoid a series of problems caused by selection errors in advance by accurately extracting and comparing equipment model information, effectively reducing equipment replacement costs and system downtime, and ensuring the adaptability and stability of the laser control system; at the same time, it can monitor the processor, memory usage and network status in real time and accurately, relying on scientific and rigorous parameter acquisition and abnormality judgment processes, such as collecting multiple groups of processor occupancy information based on preset time, accurately defining the time when memory occupancy exceeds the standard, and comprehensively considering network transmission speed, signal strength, packet loss rate and other indicators, so that operation and maintenance personnel can gain insight into potential hidden dangers in advance, quickly and accurately locate the root cause of the fault, and then take optimization measures to ensure that the gateway equipment is always in an efficient operating state and data interaction is unimpeded, providing strong support for the continuity of the industrial production process.

[0014] On the one hand, with the help of precise monitoring of three-dimensional coordinate information, the installation position of the gateway equipment is strictly controlled to make it accurately match the industrial layout plan. This is not only convenient for daily operation and maintenance management and reduces equipment search time, but also effectively prevents collision risks and signal interference problems derived from position deviations, and ensures the orderly and efficient operation of the production line. On the other hand, vibration sensors and pressure sensors are used to monitor the installation stability in real time, and computer vision technology is used to identify abnormal obstacles in the surrounding area. Once abnormal vibration frequency, amplitude, and pressure fluctuations occur, or obstacles that affect heat dissipation, signal transmission, and maintenance operations are found, supervision information is immediately generated, and operation and maintenance personnel can respond in a timely manner, reinforce installation, and clear obstacles, greatly reducing the risk of equipment failure, extending equipment service life, and reducing maintenance costs and the probability of production interruptions.

[0015] The environmental supervision has achieved remarkable results. The system comprehensively collects information on environmental temperature, humidity, vibration force and electromagnetic interference intensity, and makes dual judgments based on preset thresholds and warning values. Once environmental parameters exceed the standard, supervision information is generated immediately. This sophisticated environmental monitoring and control mechanism creates a stable and suitable operating environment for gateway devices, effectively avoiding problems such as short circuits caused by moisture in electronic components, accelerated aging, loosening and damage of mechanical structures, and electromagnetic signal disorder caused by harsh environmental factors, effectively ensuring the long-term stable operation of equipment, reducing the occurrence of failures caused by environmental factors, and improving the reliability and durability of the entire system.

[0016] Based on the deep learning target detection algorithm, potential threat sources such as humans, insects, and rodents can be accurately identified and analyzed. For humans, it can promptly detect improper stays in sensitive areas of the equipment, quickly generate warning information, prevent human misoperation, and prevent safety accidents and equipment damage; for insects, it uses high-resolution image acquisition and multi-scale feature extraction technology, combined with the industrial insect library to accurately identify the hazards of insect aggregation, and warn of short circuits and heat dissipation obstruction risks in advance; in the face of rodents, it relies on dynamic tracking and morphological recognition algorithms to keenly capture signs of rodent infestation, promptly remind the deployment of rodent control measures, and protect the integrity of equipment cables and internal structures. It prevents damage to equipment caused by biological factors in all aspects to ensure safe and secure system operation.

[0017] By closely monitoring access time information and using a reasonable maximum allowable offline time threshold as the basis for judgment, combined with network connection status monitoring data, it is possible to detect anomalies at the moment the access device is offline, accurately determine the cause of the fault, and quickly generate regulatory information containing detailed information to help operation and maintenance personnel respond in the first time, repair or replace faulty equipment, and ensure a continuous and stable connection between the access device and the gateway; in-depth analysis of the access port status, with the help of port detection circuit feedback and software handshake protocol monitoring, real-time warning of port connection interruption, data transmission errors and other problems, prompting early inspection of hidden dangers such as poor hardware contact and electromagnetic interference, ensuring that the communication link between the access device and the gateway is unimpeded, maintaining the data flow integrity of the entire laser control system, and ensuring the continuity and efficiency of industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0019] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0020] like Figure 1 As shown, this embodiment provides a technical solution: a monitoring system for a laser control industrial data acquisition gateway, including a gateway device acquisition module, an environment acquisition module, an installation acquisition module, an image acquisition module, an access device acquisition module, a data processing module and an information sending module; The gateway device collection module is used to collect gateway device information; The environment collection module is used to collect the environment information of the gateway device; The installation collection module is used to collect installation related information of the gateway device; The image information acquisition module is used to acquire image information of the gateway device; The access device collection module is used to collect relevant information of the access device; The data processing module is used to process the gateway device information and obtain the gateway device supervision information; Process the environment information of the gateway device to obtain environmental supervision information; Process the installation-related information to obtain installation supervision information; Process the image information of the gateway device and obtain the device warning information; Process the relevant information of the access device to obtain the access device supervision information; The information sending module is used to send the gateway device supervision information, environmental supervision information, installation supervision information, device warning information and access device supervision information to a preset receiving terminal after the above information is generated.

[0021] The specific process of the gateway device supervision information is as follows: Extract the collected gateway device information, which includes device model information, device processor occupancy information, device memory occupancy information and device network status information; Extract the device model information, compare the device model information with the pre-stored adaptation standard model library of the system, and verify whether the current gateway device model meets the functional requirements of the industrial scenario and whether it is a recommended or compatible model; When it cannot meet the functional requirements of the industrial scenario or is a non-recommended or compatible model, the gateway device supervision information is generated; Extract the device processor occupancy information, process the device processor occupancy information, obtain the processor occupancy parameters, and generate gateway device supervision information when the processor occupancy parameters are abnormal; Extract the device memory usage information, process the device memory usage information, obtain the memory usage parameters, and generate gateway device supervision information when the memory usage parameters are abnormal; The device network status information is extracted and processed, and when the device network status information is abnormal, the gateway device supervision information is generated.

[0022] At the level of precise selection, by extracting the equipment model information and carefully comparing it with the matching standard model library, it is like choosing a solid foundation for the construction of the entire laser control system. It can proactively eliminate many problems caused by the selection of gateway devices that do not match the industrial scenario. From the perspective of equipment performance, it avoids performance bottlenecks caused by insufficient processing power during subsequent operation, and ensures smooth and efficient data transmission and instruction execution in all aspects of the system; from a cost-effectiveness perspective, it prevents high capital investment caused by forced equipment replacement due to equipment model errors, while reducing production stagnation caused by equipment downtime for equipment replacement, and effectively ensures the continuity and stable advancement of the production process.

[0023] In the processor occupancy monitoring link, the processor occupancy information of the equipment is rigorously extracted and processed to obtain accurate processor occupancy parameters. This is a key measure to ensure the real-time and healthy operation of the equipment. In the dynamic environment of industrial production, gateway devices need to respond to the influx of multi-source data and the distribution of instructions in real time. Once the processor occupancy is abnormal, it is like insufficient blood supply to the human heart. Through this monitoring process, operation and maintenance personnel can detect problems in time according to parameter changes, and quickly check whether it is caused by software task overload, unreasonable algorithm, or external malicious attack, and then accurately implement policies to ensure that the equipment processor is always in a reasonable load range, ensure the efficient operation of the equipment, and maintain the high accuracy and timeliness of laser control.

[0024] In terms of memory usage control, it is of great significance to continuously track the memory usage information of the device and generate memory usage parameters accordingly. In industrial scenarios, gateway devices need to temporarily store massive amounts of real-time data and run complex system programs. The memory is like a "temporary warehouse" for the equipment. If the memory usage is out of control and abnormalities such as memory leaks or excessive usage occur, the device is very likely to get stuck or even crash. Not only will the laser control process being executed come to an abrupt halt, but precious data may also be lost in an instant. Through close monitoring of this process, memory risks can be warned in advance, memory can be cleaned up and programs optimized in a timely manner, and stable system operation can be guaranteed.

[0025] In the field of network status maintenance, professional processing of equipment network status information is carried out, with a focus on key indicators such as transmission speed, network signal strength and packet loss rate, which is the key to ensuring the smooth flow of the entire laser control system's nerve network. In the digital industrial era, gateway devices serve as the hub of data flow, and stable network connections are their lifeline. Once the network is abnormal, such as slow transmission, weak signal or frequent packet loss, it will cause delays in the issuance of laser control instructions and delayed feedback of collected data, just like the obstruction of signal transmission in the human nervous system, which will seriously affect the automation and intelligentization of production. Through this process, network fault points can be discovered in a timely manner and repaired quickly to ensure real-time and accurate data transmission, thus safeguarding the intelligent upgrade of industrial production.

[0026] The acquisition of the processor occupancy parameters and the abnormality determination process are as follows: The device processor occupancy information is collected once every preset time, and the collection is continued for m times. When the device processor occupancy information is greater than the preset value a1, the state is marked as a high occupancy state, and the number of running applications in the high occupancy state is extracted. When the number of running applications in the high occupancy state is less than the preset value, it is recorded as an abnormal behavior. Then, the number of abnormal behaviors in m times is extracted, and the first processor parameter is obtained; Then, the number of times that the device processor occupancy information is greater than the preset value a2 is extracted, and the second processor parameter is obtained; The first processor parameter and the second processor parameter constitute a processor occupancy parameter; When the first processor parameter is greater than the preset value or the second processor parameter is greater than the preset value, it indicates that the processor occupancy parameter is abnormal; The process of obtaining the memory usage parameter and determining the abnormality is as follows: the memory usage information of the device is continuously monitored in a single monitoring cycle, and the duration of the device memory usage information being greater than the preset value is recorded, and the memory usage parameter is obtained. When the memory usage parameter is greater than the preset value, it indicates that the memory usage parameter is abnormal; The process of determining whether the device network status information is abnormal: extracting the device network status information, which includes the device transmission speed, the device network signal strength and the packet loss rate; When the device transmission speed is lower than the preset value for more than the preset time, the device network signal strength is lower than the preset value for more than the preset time, or the packet loss rate is higher than the preset value for more than the preset time, it indicates that the device network status information is abnormal.

[0027] Accurately understand performance risks: By collecting device processor occupancy information multiple times at preset intervals, this periodic and sample accumulation method can fully reflect the load of the device at different times. For example, in a laser cutting workshop, the gateway device needs to coordinate the operation data transmission and command feedback of multiple high-precision laser cutting machines at the same time. It is preset to collect processor occupancy information every 5 minutes, and collect it 10 times in a row (i.e. m=10). When it is found that the device processor occupancy information is greater than the preset value a1 for many times in a certain period of time, the high occupancy state is marked, and the number of running applications in the high occupancy state is further analyzed. If the number of running applications is less than the preset value at this time, for example, there should be 5 key control applications running together, but there are only 3 in reality, this may indicate that there is a problem with software scheduling or that some processes are terminated unexpectedly, and it is recorded as abnormal behavior. Subsequently, the number of abnormal behaviors in these 10 times is extracted as the first processor parameter, and the number of times greater than the preset value a2 is extracted as the second processor parameter. The two are combined to form the processor occupancy parameter to judge the overall performance. In this way, operation and maintenance personnel can accurately capture potential processor performance bottlenecks in advance, avoid system crashes or laser control instruction delays caused by processor overload, and ensure production continuity.

[0028] Troubleshoot the root cause of the fault in multiple dimensions: Using two-dimensional parameters (first processor parameters and second processor parameters) to determine whether the processor occupancy is abnormal greatly broadens the troubleshooting perspective. Suppose in an automated laser welding production line, the gateway device suddenly responds slowly. By checking the processor occupancy parameters, it is found that the first processor parameter is greater than the preset value, which may point to frequent abnormal software startup or conflict; if the second processor parameter is greater than the preset value, it may mean that there are individual high-load tasks that continue to occupy processor resources, such as a data processing module stuck in an endless loop. Based on the abnormal conditions of different parameters, operation and maintenance personnel can conduct in-depth investigations to determine whether it is a software or algorithm problem, or hardware failures such as poor hardware heat dissipation causing processor frequency reduction, quickly locate and solve the problem, and restore the equipment to efficient operation.

[0029] Advantages and examples of memory usage parameter monitoring and determination: Real-time control of memory health: Continuously monitoring device memory usage information in a single monitoring cycle is like installing a "real-time monitoring camera" for memory usage. Take a factory that produces lidar as an example. During operation, its gateway device needs to store a large amount of laser point cloud data, device status data, and operation data of various control programs in real time. By continuously recording the duration of device memory usage information greater than the preset value, once the duration exceeds the threshold, the memory usage parameter is determined to be abnormal. For example, the preset memory usage exceeds 80% for no more than 10 minutes in a row. If the actual monitoring finds that the memory usage exceeds 80% for 15 minutes in a row, this alerts the operation and maintenance personnel that memory resources are in urgent need. At this time, there may be a memory leak in a data acquisition program, which continues to occupy memory but does not release it, or the memory requirements of multiple programs running at the same time exceed expectations. The operation and maintenance personnel can intervene in time to optimize the program, clean up the cache, or expand the memory to prevent the device from getting stuck or even crashing due to insufficient memory, and ensure the stable processing and transmission of data on the lidar production line.

[0030] Preventing data disasters: Accurate monitoring of memory usage parameters can effectively prevent the risk of data loss. In the laser precision processing scenario, the gateway device temporarily stores key process parameters, processing trajectory data, etc. during the processing. If the memory is suddenly exhausted and the device crashes, these unsaved data will be lost instantly, causing the entire processing batch to be scrapped. By strictly following the above-mentioned memory usage parameter acquisition and judgment process, memory anomalies can be detected in advance and timely measures can be taken, such as suspending non-critical tasks to release memory, dumping important data to external storage, etc., to ensure the safety of precious data and reduce production losses.

[0031] Advantages and examples of equipment network status information monitoring and determination: Comprehensively ensure smooth network operation: Focus on the three key indicators of device transmission speed, network signal strength and packet loss rate to determine abnormal network status information. If the device transmission speed is less than the preset value (such as the amount of data transmitted per second is less than 10Mbps) for more than the preset time (such as 3 minutes), this may be due to the network bandwidth being occupied by other devices, or the aging of the network line and the loose interface causing the transmission performance to decline; similarly, when the network signal strength is lower than the preset value, it may mean that there is strong electromagnetic interference in the surrounding area, affecting the wireless signal transmission; and the packet loss rate is greater than the preset value for more than the preset time, such as the packet loss rate exceeds 5% for 2 minutes, which may indicate network congestion or router failure. Based on these detailed indicator abnormalities, operation and maintenance personnel can quickly troubleshoot network fault points and take measures such as replacing lines, adjusting channels, and optimizing network configuration to ensure the real-time and accuracy of remote control of laser medical equipment and ensure the smooth progress of the medical process.

[0032] Improve system stability and intelligence: Stable network connection is the cornerstone of realizing industrial intelligence. In the intelligent laser warehouse management system, a large number of cargo handling robots, laser code scanning equipment, etc. are connected to the central control system through gateway devices. Once the network is abnormal, the delivery of cargo handling instructions will be delayed, which will cause chaos in warehouse operations; laser code scanning data feedback is delayed, and the inventory management system data is not updated in time, which affects the intelligent scheduling of warehouses. Through rigorous monitoring of network status information, timely discovery and repair of network faults, and ensuring real-time and accurate data transmission, the entire intelligent warehouse system can operate stably, give full play to the advantages of intelligence, and improve warehouse operation efficiency.

[0033] The specific process of obtaining the installation supervision information is as follows: Extract the collected installation-related information, including the three-dimensional coordinate information of the laser control industrial data acquisition gateway, the installation stability of the laser control industrial data acquisition gateway, and the number of obstacles within a preset range of the laser control industrial data acquisition gateway; When the three-dimensional coordinate information of the laser control industrial data acquisition gateway and the standard three-dimensional coordinate information of the laser control industrial data acquisition gateway when it is installed exceed the preset range, the installation supervision information is generated; Extract the installation stability of the laser control industrial data collection gateway. When the installation stability of the laser control industrial data collection gateway is abnormal, the installation supervision information is generated. When the number of abnormal obstacles within the preset range of the laser control industrial data acquisition gateway is greater than the preset value, installation supervision information is generated.

[0034] Ensure the rationality of layout and smooth production: Accurately extracting the three-dimensional coordinate information of the laser control industrial data acquisition gateway and comparing it with the standard three-dimensional coordinates during installation is the key to ensuring the orderly layout of the entire industrial production. In large-scale laser processing workshops, many equipment work together, and the gateway device is like a nerve center, and its installation position must be accurate. If the three-dimensional coordinate deviation exceeds the preset range, such as in an automotive laser welding production line, the installation deviation of the gateway device may cause the signal transmission between it and the adjacent laser welding robot and quality inspection equipment to be blocked, causing data interaction delays or even interruptions, thereby affecting the continuity of the entire welding process and causing production stagnation. Through this strict coordinate monitoring, position deviations can be discovered and corrected in advance to ensure a reasonable equipment layout and smooth production processes.

[0035] Reduce maintenance costs and improve efficiency: Accurate installation location information facilitates daily maintenance and troubleshooting. Taking a semiconductor laser etching factory as an example, when a gateway device fails, maintenance personnel can quickly locate the device based on precise three-dimensional coordinates without spending a lot of time searching in a complex workshop, greatly shortening the fault repair time and reducing losses caused by downtime. At the same time, it avoids accidental damage to other precision equipment in the surrounding area caused by blindly searching for equipment, reduces additional maintenance costs, and improves the overall operation and maintenance efficiency of the factory.

[0036] Benefits of installing stability monitoring: Preventing equipment failures and extending service life: Real-time monitoring of the installation stability of the laser-controlled industrial data acquisition gateway is a core element to ensure the long-term and reliable operation of the equipment. In the ship laser navigation system, the gateway device is installed in the cabin below the ship deck, subject to continuous vibration and turbulence during the ship's voyage. Once the installation stability is abnormal, such as the loosening of the fixing screws due to long-term vibration, the vibration frequency and amplitude exceeding the standard or the abnormal pressure fluctuation can be detected in time by the vibration sensor and the pressure sensor, so as to provide early warning. The operation and maintenance personnel can tighten the equipment before a serious failure occurs, avoiding fatal problems such as internal line tearing and interface damage caused by equipment shaking and displacement, effectively extending the service life of the equipment and ensuring the continuous and accurate operation of the laser navigation system.

[0037] Ensure data transmission stability: Stable installation is the basis for stable data transmission. In the high-altitude laser mapping UAV system, the gateway device is responsible for transmitting a large amount of real-time mapping data. If the installation is not stable, the airflow impact and body vibration during flight will cause the device to shake violently, which can easily lead to loose data transmission cables and poor interface contact, resulting in data packet loss and transmission interruption. Through installation stability monitoring, problems can be discovered and solved in a timely manner, ensuring the stability of the data transmission link and ensuring that the mapping data is fully and accurately transmitted back to the ground control center.

[0038] Benefits of obstacle monitoring: Optimize the equipment operating environment: Monitoring the number of obstacles within the preset range of the laser control industrial data acquisition gateway can create a good operating environment for the equipment. In a workshop where laser cutting of metal sheets is performed, flying metal debris, temporarily stacked tools or workpieces may become obstacles. If these abnormal obstacles are greater than the preset value and are close to the gateway device, they may block the heat dissipation holes, affect the heat dissipation of the equipment, and cause the electronic components to degrade or even be damaged due to high temperature. They may also block the signal transmission path, making it impossible to communicate the control instructions between the gateway device and the laser cutting equipment in time, affecting the cutting accuracy and efficiency. Generate installation supervision information in a timely manner to prompt operation and maintenance personnel to clear obstacles and ensure normal heat dissipation and signal transmission of the equipment.

[0039] The process of obtaining the installation stability of the laser control industrial data acquisition gateway is as follows: Vibration and pressure sensors are used to monitor the stability of the connection between the device and the mounting base: When the laser control industrial data acquisition gateway is running, the vibration frequency, amplitude exceeding the standard or pressure size is detected by the vibration sensor and pressure sensor. When the vibration frequency is greater than the preset value, the amplitude exceeds the standard or the pressure fluctuates beyond the preset amplitude, it means that the installation stability of the laser control industrial data acquisition gateway is abnormal; The process of obtaining abnormal obstacles is as follows: extract image information, use computer vision technology and deep learning algorithms to analyze the collected image data, and identify abnormal obstacles within the preset range of the equipment; Abnormal obstacles are obstacles that may affect heat dissipation, signal transmission or daily maintenance operations. If large metal components are found to block the signal transmission path, heat sources that are too close to the equipment (less than the safe distance of 30 cm) affect heat dissipation, or maintenance passages are blocked by debris, the type, location, degree of hazard and other detailed information of these obstacles will be integrated into the installation supervision information to remind the operation and maintenance personnel to clean up or adjust the layout in time to ensure the external conditions for the long-term stable operation of the gateway equipment.

[0040] The process of obtaining the environmental supervision information is as follows: Extract the collected environmental information, including environmental temperature information, environmental humidity information, environmental vibration force, and environmental electromagnetic interference intensity; When any one of the ambient temperature information, ambient humidity information, ambient vibration force, and ambient electromagnetic interference intensity is greater than a preset value, environmental supervision information is generated; When any one of the environmental temperature information, environmental humidity information, environmental vibration force, and environmental electromagnetic interference intensity exceeds the warning value for a preset period of time, environmental supervision information is generated; The warning value is less than the preset value.

[0041] The process of obtaining the device warning information is as follows: Extract the image information of the gateway device, first perform a human body detection analysis process on the image information of the gateway device, and use a deep learning-based target detection algorithm for human body detection, such as the YOLO (YouOnlyLookOnce) series model or the SSD (SingleShotMultiBoxDetector) model. These models have been trained with a large amount of industrial scene image data containing human posture and appearance, and can quickly and accurately identify human targets in image frames. When a human body is detected in a preset sensitive area near the gateway device (such as an operation and maintenance area within 1 meter of the device, or a 0.5-meter area around the key heat dissipation and electrical connection parts of the device), and the continuous stay time exceeds the set time (such as 30 seconds), it is determined that there may be a risk of human error or safety hazards, and immediately generate a device warning message containing detailed information such as the human body position coordinates, appearance time, and duration, prompting security personnel or operation and maintenance personnel to check to prevent personnel from accidentally touching the equipment and causing damage or interfering with the normal operation of the equipment; The image information of the gateway device is analyzed for insects, and image recognition technology optimized for small insect targets is used. Since common insects in industrial environments are small in size, flexible in movement, and diverse in form, high-resolution image acquisition combined with a multi-scale feature extraction algorithm is used to screen and identify tiny targets in the image. By comparing the pre-established common industrial insect library (covering the sample characteristics of insects that may affect the equipment, such as cockroaches, moths, and ants), when insects are identified to gather in preset locations, such as the surface of the gateway device, heat dissipation holes, wiring ports and other key parts, and the number reaches the threshold (such as more than 5 moths gathered around a single heat dissipation hole, or more than 10 ants crawling on the surface of the device), it means that insects may invade and cause short circuits, heat dissipation obstruction and other problems. Then, a device warning message is generated, detailing the insect type, distribution location, and estimated degree of harm, so that operation and maintenance personnel can take timely insect repellent and cleaning measures to ensure the electrical safety and heat dissipation performance of the equipment; The image information of the gateway device is analyzed for insects. In terms of rodent analysis, considering that rodents are relatively large in size but agile and good at hiding, the data processing module uses an algorithm that combines dynamic target tracking and morphological recognition to extract moving targets in the image based on the background difference method, and then matches the target's outline, size and motion trajectory characteristics with the standard model of rodents; If suspected rodents are found shuttling around the bottom of the gateway device, gnawing on the cable sheath, or attempting to drill into the device, and these behaviors occur multiple times within a certain period of time (such as within 5 minutes), it is determined that there is a risk of rodent infestation, and a device warning message is generated, indicating key information such as the rodent activity path and the parts of the cables that may be damaged, prompting operation and maintenance personnel to deploy rodent control facilities to protect the equipment cables and internal structures from damage, thereby ensuring the stable operation of the gateway device.

[0042] The specific process of processing the relevant information of the access device to obtain the access device supervision information is as follows: Access device related information includes access time information and access port status information; Extract access time information, which is the timestamp and online duration of each access device's first access to the gateway. By setting the maximum allowed offline duration threshold (such as 10 minutes), if the access device suddenly goes offline and exceeds the threshold, access device supervision information is generated. Combined with network connection status monitoring data, it is determined whether the disconnection is caused by device failure, loose network cable, or gateway software problem. If it is determined that the device itself is faulty, access device supervision information containing device name, access port, offline duration, etc. is generated to quickly locate the faulty device, repair or replace it in time, and ensure system continuity; The status information of the access port is analyzed, and the feedback data of the port detection circuit and the monitoring results of the port handshake protocol at the software level are analyzed. Under normal circumstances, the access port should be in a stable open state with normal data exchange. If a port is frequently disconnected or has data transmission errors (such as a CRC check error rate of more than 5%), it means that there may be problems such as poor hardware contact and electromagnetic interference. The access device supervision information is generated, and the problem port number and fault manifestation are clearly pointed out to guide the operation and maintenance personnel to carry out targeted maintenance to ensure that the communication link between the access device and the gateway is unobstructed.

[0043] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0044] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

Claims

1. A monitoring system for a laser control industrial data acquisition gateway, characterized in that: It includes a gateway device acquisition module, an environment acquisition module, an installation acquisition module, an image acquisition module, an access device acquisition module, a data processing module and an information sending module; The gateway device collection module is used to collect gateway device information; The environment collection module is used to collect the environment information of the gateway device; The installation collection module is used to collect installation related information of the gateway device; The image information acquisition module is used to collect image information of the gateway device; The access device collection module is used to collect relevant information of the access device; The data processing module is used to process the gateway device information and obtain the gateway device supervision information; Process the environment information of the gateway device to obtain environmental supervision information; Process the installation-related information to obtain installation supervision information; Process the image information of the gateway device and obtain the device warning information; Process the relevant information of the access device to obtain the access device supervision information; The information sending module is used to send the gateway device supervision information, environmental supervision information, installation supervision information, device warning information and access device supervision information to a preset receiving terminal after the above information is generated.

2. The monitoring system of a laser control industrial data acquisition gateway according to claim 1 is characterized in that: The specific process of the gateway device supervision information is as follows: Extract the collected gateway device information, which includes device model information, device processor occupancy information, device memory occupancy information and device network status information; Extract the device model information, compare the device model information with the pre-stored adaptation standard model library of the system, and verify whether the current gateway device model meets the functional requirements of the industrial scenario and whether it is a recommended or compatible model; When it cannot meet the functional requirements of the industrial scenario or is a non-recommended or compatible model, the gateway device supervision information is generated; Extract the device processor occupancy information, process the device processor occupancy information, obtain the processor occupancy parameters, and generate gateway device supervision information when the processor occupancy parameters are abnormal; Extract the device memory usage information, process the device memory usage information, obtain the memory usage parameters, and generate gateway device supervision information when the memory usage parameters are abnormal; The device network status information is extracted and processed, and when the device network status information is abnormal, the gateway device supervision information is generated.

3. The monitoring system of a laser control industrial data acquisition gateway according to claim 2 is characterized in that: The acquisition of the processor occupancy parameters and the abnormality determination process are as follows: The device processor occupancy information is collected once every preset time, and the collection is continued for m times. When the device processor occupancy information is greater than the preset value a1, the state is marked as a high occupancy state, and the number of running applications in the high occupancy state is extracted. When the number of running applications in the high occupancy state is less than the preset value, it is recorded as an abnormal behavior. Then, the number of abnormal behaviors in m times is extracted, and the first processor parameter is obtained; Then, the number of times that the device processor occupancy information is greater than the preset value a2 is extracted, and the second processor parameter is obtained; The first processor parameter and the second processor parameter constitute a processor occupancy parameter; When the first processor parameter is greater than the preset value or the second processor parameter is greater than the preset value, it indicates that the processor occupancy parameter is abnormal; The process of obtaining the memory usage parameter and determining the abnormality is as follows: the memory usage information of the device is continuously monitored in a single monitoring cycle, and the duration of the device memory usage information being greater than the preset value is recorded, and the memory usage parameter is obtained. When the memory usage parameter is greater than the preset value, it indicates that the memory usage parameter is abnormal; The process of determining whether the device network status information is abnormal: extracting the device network status information, which includes the device transmission speed, the device network signal strength and the packet loss rate; When the device transmission speed is lower than the preset value for more than the preset time, the device network signal strength is lower than the preset value for more than the preset time, or the packet loss rate is higher than the preset value for more than the preset time, it indicates that the device network status information is abnormal.

4. The monitoring system for a laser control industrial data acquisition gateway according to claim 1 is characterized in that: The specific process of obtaining the installation supervision information is as follows: Extract the collected installation-related information, including the three-dimensional coordinate information of the laser control industrial data acquisition gateway, the installation stability of the laser control industrial data acquisition gateway, and the number of obstacles within a preset range of the laser control industrial data acquisition gateway; When the three-dimensional coordinate information of the laser control industrial data acquisition gateway and the standard three-dimensional coordinate information of the laser control industrial data acquisition gateway when it is installed exceed the preset range, the installation supervision information is generated; Extract the installation stability of the laser control industrial data collection gateway. When the installation stability of the laser control industrial data collection gateway is abnormal, the installation supervision information is generated. When the number of abnormal obstacles within the preset range of the laser control industrial data acquisition gateway is greater than the preset value, installation supervision information is generated.

5. The monitoring system of a laser control industrial data acquisition gateway according to claim 4 is characterized in that: The process of obtaining the installation stability of the laser control industrial data acquisition gateway is as follows: Vibration and pressure sensors are used to monitor the stability of the connection between the device and the mounting base: When the laser control industrial data acquisition gateway is running, the vibration frequency, amplitude exceeding the standard or pressure size is detected by the vibration sensor and pressure sensor. When the vibration frequency is greater than the preset value, the amplitude exceeds the standard or the pressure fluctuates beyond the preset amplitude, it means that the installation stability of the laser control industrial data acquisition gateway is abnormal; The process of acquiring abnormal obstacles is as follows: extract image information, use computer vision technology and deep learning algorithms to analyze the collected image data, and identify abnormal obstacles within the preset range of the equipment.

6. The monitoring system of a laser control industrial data acquisition gateway according to claim 1 is characterized in that: The process of obtaining the environmental supervision information is as follows: Extract the collected environmental information, including environmental temperature information, environmental humidity information, environmental vibration force, and environmental electromagnetic interference intensity; When any one of the environmental temperature information, environmental humidity information, environmental vibration force, and environmental electromagnetic interference intensity is greater than the preset value, environmental supervision information is generated; When any one of the environmental temperature information, environmental humidity information, environmental vibration force, and environmental electromagnetic interference intensity exceeds the warning value for a preset period of time, environmental supervision information is generated; The warning value is less than the preset value.

7. The monitoring system of a laser control industrial data acquisition gateway according to claim 1 is characterized in that: The process of obtaining the device warning information is as follows: Extract the image information of the gateway device, perform human body detection and analysis on the image information of the gateway device, and use the target detection algorithm based on deep learning to detect human bodies. When a human body is detected in the preset sensitive area near the gateway device and the continuous stay time exceeds the set time, it is determined that there may be a risk of human error or safety hazards, and immediately generate device warning information containing detailed information such as the human body position coordinates, appearance time, and duration; The gateway device performs insect analysis on its image information, using image recognition technology optimized for small insect targets. By comparing with a pre-established library of common industrial insects, it generates device warning information when it is identified that insects gather at a preset location and the number reaches a threshold. The image information of the gateway device is analyzed for insects. For rodent analysis, the data processing module uses an algorithm that combines dynamic target tracking and morphological recognition to extract moving targets in the image based on the background difference method. Then, the target's contour, size, and motion trajectory characteristics are analyzed to match them with the standard rodent model. If an object suspected of being a rodent is found to have abnormal behavior, and the abnormal behavior occurs multiple times within a certain period of time, a device warning message will be generated.

8. The monitoring system for a laser control industrial data acquisition gateway according to claim 1 is characterized in that: The specific process of processing the relevant information of the access device to obtain the access device supervision information is as follows: Access device related information includes access time information and access port status information; Extract access time information, which is the timestamp and online duration of each access device's first access to the gateway. By setting a maximum allowed offline duration threshold, if an access device suddenly goes offline and exceeds the threshold, access device supervision information is generated. Analyze the status information of the access port, analyze the feedback data of the port detection circuit and the port handshake protocol monitoring results at the software level, and generate access device supervision information when frequent connection interruptions and data transmission errors are detected on the port.

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