Monitoring system for industrial network intelligent terminal equipment

Abstract

The invention discloses a monitoring system for industrial network intelligent terminal equipment, and the system comprises an intelligent terminal equipment monitoring unit which is used for monitoring the intelligent terminal equipment and obtaining the information of the intelligent terminal equipment; the protection equipment monitoring unit is used for monitoring protection equipment of the intelligent terminal equipment to obtain protection equipment monitoring information; the processing unit is used for processing the intelligent terminal equipment information and the protection equipment monitoring information to generate monitoring warning information; and the information sending unit is used for sending the monitoring warning information to a preset receiving terminal. According to the invention, the industrial network security protection can be better carried out, the intelligent terminal equipment is monitored, the stable operation of the intelligent terminal equipment is ensured, and the industrial network security is further ensured.

Description

Technical Field

[0001] The present invention relates to the field of monitoring systems, and in particular to a monitoring system for industrial network intelligent terminal equipment. Background Art

[0002] With the deep integration of industrial automation and informatization, industrial control systems are becoming increasingly complex, involving numerous intelligent terminal devices, network devices, and various software systems. These devices and systems require a large amount of data interaction and collaboration, which increases the potential risk points of cyber attacks. The threat of cyber attacks is increasing: Industrial networks face various cyber attack threats from both external and internal sources, such as hacker attacks, malware intrusions, and data leaks. These attacks may cause production interruptions, equipment damage, data loss or tampering, thereby affecting the normal operation of industrial production and even endangering personal safety.

[0003] Therefore, it is necessary to use smart terminal devices to protect industrial network security. In the process of using smart terminal devices to protect industrial network security, smart terminal device monitoring systems will be used.

[0004] The existing monitoring system has poor protection effect and cannot well guarantee the security protection of industrial network, which has brought certain impacts on the use of the monitoring system. Therefore, a monitoring system for industrial network intelligent terminal equipment is proposed. Summary of the Invention

[0005] In view of the defects in the prior art, the present invention provides a monitoring system for industrial network intelligent terminal equipment, comprising:

[0006] An intelligent terminal device monitoring unit is used to monitor the intelligent terminal device and obtain the intelligent terminal device information;

[0007] A protective equipment monitoring unit is used to monitor the protective equipment of the intelligent terminal device and obtain protective equipment monitoring information;

[0008] A processing unit, configured to process the intelligent terminal device information and the protective device monitoring information to generate monitoring warning information;

[0009] The information sending unit is used to send the monitoring warning information to a preset receiving terminal.

[0010] Furthermore, the specific process of monitoring the smart terminal device and obtaining the smart terminal device information is as follows:

[0011] A vibration sensor is provided on the smart terminal device to collect vibration information of the heat dissipation device in the smart terminal device;

[0012] Real-time monitoring of hardware resource usage information, namely monitoring the CPU usage and memory usage of smart terminal devices;

[0013] At the same time, the CPU frequency and memory frequency of the intelligent terminal devices are monitored, and the port traffic of the intelligent terminal devices is also monitored;

[0014] Air flow rate monitoring devices are installed inside and outside the heat dissipation port of the intelligent terminal device to monitor the internal air flow rate and the external air flow rate.

[0015] Furthermore, the specific process of processing the intelligent terminal device information and generating monitoring warning information is as follows:

[0016] Continuously collect vibration information of the heat dissipation device in the smart terminal device i times, mark it as Wi, use the value of Wi as the y-axis and the collection interval as the x-axis to establish a plane rectangular coordinate system P;

[0017] The Wi mark is drawn as a broken line graph on the plane rectangular coordinate system P, and a standard line is set on the plane rectangular coordinate system P. When the Wi are all above the standard line, a monitoring warning message is generated;

[0018] Perform trend analysis on the line graph drawn, and generate monitoring warning information when the line graph trend is gradually rising;

[0019] Process the hardware resource usage information to obtain hardware resource evaluation parameters. When the hardware resource evaluation parameters are abnormal, a monitoring warning message is generated;

[0020] Process the CPU frequency and memory frequency to obtain CPU frequency parameters and memory frequency parameters;

[0021] When the line graph trend is downward or the internal air flow rate and the external air flow rate are both greater than any of the preset values, but the CPU frequency parameter or the memory frequency parameter is abnormal, a monitoring warning message is generated;

[0022] When both the internal air flow rate and the external air flow rate are less than or equal to the preset value, a monitoring warning message is generated;

[0023] When the internal air flow rate is greater than the preset value but the external air flow rate is less than the preset value, a monitoring warning message is generated;

[0024] When the internal air flow rate is less than a preset value for more than a preset time or the external air flow rate is less than a preset value for more than a preset time, a monitoring warning message is generated.

[0025] Furthermore, the process of obtaining the hardware resource evaluation parameters and determining anomalies is as follows:

[0026] Extract the CPU usage and memory usage, and record the duration when the CPU usage exceeds the preset value and the duration when the memory usage exceeds the preset value, that is, obtain the abnormal CPU usage duration and the abnormal memory usage duration;

[0027] The abnormal CPU usage duration and the abnormal memory usage duration constitute hardware resource evaluation parameters. If either the abnormal CPU usage duration or the abnormal memory usage duration exceeds the preset value, it indicates that the hardware resource evaluation parameter is abnormal.

[0028] The process of obtaining the CPU frequency parameters and memory frequency parameters is as follows:

[0029] Calculate the difference between the CPU standard frequency and the CPU frequency to obtain the CPU frequency parameters;

[0030] Calculate the difference between the memory standard frequency and the memory frequency to obtain the memory frequency parameters;

[0031] If the memory frequency parameter exceeds the preset range, it means that the memory frequency parameter is abnormal; if the CPU frequency parameter exceeds the preset range, it means that the CPU frequency parameter is abnormal;

[0032] Extract the port traffic. When the traffic of any access port exceeds the preset value for a preset period of time, a monitoring warning message is generated.

[0033] Furthermore, the protective device monitoring unit monitors the protective device of the smart terminal device, and the specific process of obtaining the protective device monitoring information is as follows:

[0034] The protective equipment monitoring unit includes image acquisition equipment and electronic fence equipment;

[0035] The image acquisition device is used to collect image information of smart terminal devices and electronic fence devices in real time;

[0036] The electronic fence device consists of at least three groups of rod-shaped devices with intelligent sensing functions arranged around the intelligent terminal device;

[0037] The intelligent sensing function of the electronic fence device is realized by multiple laser emitting devices and multiple laser receiving devices set on the electronic fence device. Each laser emitting device corresponds to a laser receiving device, and the laser emitting device collects emission information, and the laser receiving device collects reception information.

[0038] Furthermore, the setting process of the electronic fence device is as follows:

[0039] First, an image of the smart terminal device is captured from directly above. The image of the smart terminal device captured directly above is processed to extract its center point, which is marked as the reference point A. The length Y of the longest side of the smart terminal device is then measured.

[0040] Then draw a circle U1 with reference point A as the center and Y / 2 as the radius, and then draw a triangle U2 circumscribed to circle U1;

[0041] The three corners K1, K2 and K3 of the triangle U2 are respectively selected as the setting points of the electronic fence equipment.

[0042] Furthermore, the specific process of processing the protective equipment monitoring information to generate monitoring warning information is as follows:

[0043] Extracting image information of smart terminal devices and image information of electronic fence devices;

[0044] Obtain reference point A from the image information of the smart terminal device and mark it as point F1;

[0045] Then, the image information of the electronic fence device is processed to extract the center point of the electronic fence device and marked as F2, F3 and F4;

[0046] Then connect point F1 with F2, F3 and F4 respectively to obtain line segments L1, L2 and L3;

[0047] Then connect F2 and F3 to obtain line segment L4, connect F2 and F4 to obtain line segment L5, and connect F3 and F4 to obtain line segment L6;

[0048] Evaluate line segments L1, L2, and L3. When there are abnormalities in line segments L1, L2, and L3, a monitoring warning message is generated, indicating that the electronic fence device or smart terminal device has an abnormal displacement;

[0049] When the laser emitting device does not correspond to the laser receiving device, a monitoring warning message is directly generated;

[0050] When evaluating line segments L4, L5 and L6, when there are abnormalities in line segments L4, L5 and L6, but the laser emitting device and the laser receiving device still correspond, a monitoring warning message is generated, indicating that abnormal displacement has occurred in the smart terminal device.

[0051] Furthermore, the image information of the electronic fence device is processed to obtain the angle between the electronic fence device and the ground. When the angle between the electronic fence device and the ground exceeds a preset range, but the laser transmitting device and the laser receiving device are still aligned, a monitoring warning message is generated to indicate that an abnormal displacement has occurred in the smart terminal device.

[0052] The image information of the smart terminal device is processed. When there is a human body in the electronic fence device and the laser emitting device does not correspond to the laser receiving device, a personnel confirmation message is generated to confirm whether the person is allowed to enter. When the person is not allowed to enter, a monitoring warning message is generated.

[0053] Furthermore, the process of determining whether the laser emitting device and the laser receiving device do not correspond is as follows:

[0054] Each laser emitting device corresponds to a laser receiving device. The emission information is the time point information T1 when the laser emitting device emits the laser, and the receiving information is the time point information T2 when the receiving device receives the laser.

[0055] When the difference between T2 and T1 is calculated, the receiving time difference Tt is obtained. When the receiving time difference Tt is greater than the preset value, it means that there is no correspondence;

[0056] Or when the laser emitting device emits laser, but the laser receiving device still cannot receive the laser, it means there is no correspondence;

[0057] The emission frequency of each laser emitting device is different, that is, the receiving frequency standard of its corresponding laser receiving device also corresponds one to one;

[0058] When the emission frequency of the laser emitting device is inconsistent with the laser frequency received by the corresponding laser receiving device, it indicates that there is no correspondence.

[0059] The beneficial effects of the present invention are embodied in:

[0060] By setting up vibration sensors to collect vibration information of heat dissipation equipment, real-time monitoring of hardware resource usage, CPU frequency, memory frequency, and port traffic, and setting up air flow rate monitoring equipment inside and outside the heat dissipation vents to monitor air flow rate, etc., it is possible to obtain comprehensive information on smart terminal devices and promptly detect abnormal conditions in device operation;

[0061] Multi-dimensional processing and analysis of smart terminal device information. For example, a line graph is drawn based on the vibration information of the cooling device, combined with standard lines and trend analysis, and comprehensive judgment is made based on hardware resource evaluation parameters, CPU frequency parameters, memory frequency parameters, and air flow rate. Once an abnormality occurs, a monitoring warning message is generated, which helps to take timely measures to maintain the normal operation of the equipment.

[0062] The image acquisition device of the protective equipment monitoring unit collects image information of the smart terminal device and the electronic fence device in real time. The electronic fence device is composed of multiple groups of intelligent sensing rod devices, which realize intelligent sensing through laser transmitting and receiving devices, and can effectively monitor the surrounding environment of the smart terminal device.

[0063] When setting up the electronic fence equipment, first determine the center point of the smart terminal device, and then draw circles and triangles based on this to determine the setting point of the electronic fence equipment, which ensures the rationality of the electronic fence equipment layout and can better play a protective role;

[0064] When processing monitoring information for protective equipment, the system can accurately determine whether abnormal displacement of the smart terminal device has occurred by analyzing the line segment connecting the center points of the smart terminal device and the electronic fence device, the angle between the electronic fence device and the ground, and the corresponding relationship between the laser transmitting and receiving devices, thereby improving the safety of the equipment.

[0065] For the image information processing of smart terminal devices, when there is a human body in the electronic fence device and the laser transmitting and receiving devices do not correspond, personnel confirmation information is generated, which can be used to control the entry of personnel, prevent unauthorized personnel from approaching the smart terminal equipment, ensure industrial network security, and make the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.

[0067] Figure 1 is a system block diagram of the present invention;

[0068] Figure 2 It is a schematic diagram of the setting of the electronic fence equipment of the present invention. DETAILED DESCRIPTION

[0069] The following embodiments of the technical solution of the present invention will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and are therefore only examples and are not intended to limit the scope of protection of the present invention.

[0070] It should be noted that, unless otherwise specified, the technical or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0071] like Figures 1 and 2 As shown, a monitoring system for industrial network intelligent terminal equipment includes:

[0072] An intelligent terminal device monitoring unit is used to monitor the intelligent terminal device and obtain the intelligent terminal device information;

[0073] A protective equipment monitoring unit is used to monitor the protective equipment of the intelligent terminal device and obtain protective equipment monitoring information;

[0074] A processing unit, configured to process the intelligent terminal device information and the protective device monitoring information to generate monitoring warning information;

[0075] The information sending unit is used to send the monitoring warning information to a preset receiving terminal.

[0076] The specific process of monitoring the smart terminal device and obtaining the smart terminal device information is as follows:

[0077] A vibration sensor is provided on the smart terminal device to collect vibration information of the heat dissipation device in the smart terminal device;

[0078] Real-time monitoring of hardware resource usage information, namely monitoring the CPU usage and memory usage of smart terminal devices;

[0079] At the same time, the CPU frequency and memory frequency of the intelligent terminal devices are monitored, and the port traffic of the intelligent terminal devices is also monitored;

[0080] Air flow rate monitoring devices are installed inside and outside the heat dissipation port of the intelligent terminal device to monitor the internal air flow rate and the external air flow rate.

[0081] The specific process of processing smart terminal device information and generating monitoring warning information is as follows:

[0082] Continuously collect vibration information of the heat dissipation device in the smart terminal device i times, mark it as Wi, use the value of Wi as the y-axis and the collection interval as the x-axis to establish a plane rectangular coordinate system P;

[0083] The Wi mark is drawn as a broken line graph on the plane rectangular coordinate system P, and a standard line is set on the plane rectangular coordinate system P. When the Wi are all above the standard line, a monitoring warning message is generated;

[0084] Perform trend analysis on the line graph, and generate monitoring warning information when the line graph trend is gradually rising;

[0085] Process the hardware resource usage information to obtain hardware resource evaluation parameters. When the hardware resource evaluation parameters are abnormal, a monitoring warning message is generated;

[0086] Process the CPU frequency and memory frequency to obtain CPU frequency parameters and memory frequency parameters;

[0087] When the line graph trend is downward or the internal air flow rate and the external air flow rate are both greater than any of the preset values, but the CPU frequency parameter or the memory frequency parameter is abnormal, a monitoring warning message is generated;

[0088] When both the internal air flow rate and the external air flow rate are less than or equal to the preset value, a monitoring warning message is generated;

[0089] When the internal air flow rate is greater than the preset value but the external air flow rate is less than the preset value, a monitoring warning message is generated;

[0090] When the internal air flow rate is less than the preset value for more than the preset time or the external air flow rate is less than the preset value for more than the preset time, a monitoring warning message is generated;

[0091] Monitoring and analysis are carried out from multiple dimensions, including vibration information of heat dissipation equipment, hardware resource usage information, CPU frequency and memory frequency, and air flow rate of heat dissipation outlets. This comprehensively covers the key parameters in the operation of smart terminal devices, and can more accurately and comprehensively grasp the operating status of the equipment, without missing any potential factors that may cause equipment failure or performance degradation.

[0092] By establishing a rectangular coordinate system and drawing a line graph based on the vibration information of the cooling equipment and setting a standard line, it is possible to intuitively determine whether the vibration situation is abnormal. When the vibration values ​​are higher than the standard line or the line graph trend gradually increases, a warning message is generated, which can promptly detect possible wear and looseness of the cooling equipment, thereby preventing the overall performance of the equipment from being affected by cooling equipment failure.

[0093] The hardware resource usage information is processed, and the abnormal CPU and memory usage time is extracted to form hardware resource evaluation parameters. When any of them is abnormal, an alarm is issued, which helps to promptly discover excessive hardware resource usage, such as resource waste caused by unreasonable software program operation or system failure, thereby optimizing device resource allocation and improving device operation efficiency.

[0094] Monitor and analyze CPU and memory frequency parameters. When a parameter is less than the preset value, it is determined to be abnormal and a warning message is generated. This can promptly detect possible performance degradation or fault problems in the CPU and memory, such as frequency instability caused by hardware aging, poor heat dissipation, etc., so that maintenance measures can be taken in time to prevent more serious equipment failures.

[0095] The system effectively monitors the device's heat dissipation status by generating warning messages based on the varying air flow rates inside and outside the heat dissipation vents. Whether both the internal and external air flow rates are too low (possibly indicating a clogged heat dissipation channel), high internal air flow rates but low external air flow rates (possibly indicating poor heat dissipation), or sustained periods of flow rates below the preset value (indicating chronically low heat dissipation efficiency), these warnings can be issued promptly, prompting maintenance personnel to inspect and maintain the cooling system, ensuring the device operates within an appropriate temperature environment and extending its lifespan.

[0096] Through comprehensive analysis and judgment of various information, the monitoring system can detect potential problems in advance and generate monitoring warning information before the equipment has obvious failures or performance deteriorates significantly, providing maintenance personnel with sufficient time to troubleshoot and repair the problem, reducing the impact of sudden equipment failures on industrial production, and improving the stability and reliability of the industrial network.

[0097] When various abnormal situations occur, the system can quickly generate monitoring warning information, so that maintenance personnel can promptly understand the abnormal status of the equipment, respond quickly, and take appropriate measures to deal with it, thereby reducing equipment downtime and improving equipment availability and production efficiency.

[0098] At the same time, the system also collects temperature information inside the smart terminal device, processes the temperature information, internal air flow rate and external air flow rate, and generates monitoring warning information;

[0099] When the temperature information is greater than the preset value and the internal air flow rate is greater than the preset value, the ratio of the internal air flow rate to the external air flow rate is calculated to obtain the air flow rate ratio. When the air flow rate ratio is greater than the preset value a1, a monitoring warning message is generated;

[0100] When the temperature information is within the preset range and the air flow rate ratio is greater than the preset value a2 for a preset time, a monitoring warning message is generated, a2>a1;

[0101] When the internal temperature of the device is higher than the preset value and the internal air flow rate is greater than the preset value, it means that the cooling device is operating at high load, but the low external air flow rate will cause the cooling efficiency to decrease;

[0102] At this time, the air flow rate ratio is calculated and compared with the threshold a1 to accurately determine whether the heat dissipation channel is blocked or the external exhaust fails, such as the heat dissipation port is covered with dust or the external fan is faulty.

[0103] For example, if the internal flow rate is high but the external flow rate is extremely low (the flow rate ratio is much greater than a1), heat cannot be effectively dissipated. Even if the current temperature does not reach the danger threshold, the temperature may continue to rise due to insufficient heat dissipation efficiency. Early warning can prevent hardware damage or performance degradation caused by overheating.

[0104] If the temperature is within the normal preset range but the air flow rate ratio is higher than a2 for a long time, it means that the device may be in a low-load but inefficient cooling system operation state, such as abnormal fan speed or dust accumulation on the heat sink causing increased air resistance.

[0105] If this hidden anomaly persists for a long time, heat may gradually accumulate, causing a sudden temperature rise when the load increases. By triggering an alarm based on a preset time condition (such as 30 minutes), progressive failures of the cooling system, such as fan bearing wear and air duct design defects, can be discovered in advance, avoiding sudden shutdown accidents.

[0106] Combine temperature and flow rate ratio to avoid misjudgment based on a single parameter: high temperature alone may be caused by a sudden surge in load (not a heat dissipation fault), so the flow rate ratio should be considered to determine whether it is a heat dissipation system problem.

[0107] When only the flow rate ratio is abnormal but the temperature is normal, short-term fluctuations (such as instantaneous airflow disturbances) are filtered out by duration to ensure the effectiveness of the warning.

[0108] In industrial environments, equipment overheating is one of the main causes of hardware aging and data processing errors. By monitoring the coupled relationship between flow rate ratio and temperature in real time, the system can provide early warnings before the temperature exceeds the safe range, such as abnormal flow rate ratios in low-temperature scenarios. This provides maintenance personnel with ample time to clean heat dissipation vents, replace faulty fans, or optimize equipment layout, thus avoiding cascading failures caused by poor heat dissipation.

[0109] In harsh industrial environments like dust and high humidity, clogged cooling vents and dust accumulation on fans are common problems. By analyzing flow rate ratios, the system can dynamically adapt to environmental changes (such as a gradual decrease in external flow rate due to dust accumulation). Even if temperature sensor accuracy decreases due to dust accumulation, it can still identify cooling system faults based on flow rate anomalies.

[0110] The process of obtaining the CPU frequency parameters and memory frequency parameters is as follows:

[0111] Calculate the difference between the CPU standard frequency and the CPU frequency to obtain the CPU frequency parameters;

[0112] Calculate the difference between the memory standard frequency and the memory frequency to obtain the memory frequency parameters;

[0113] If the memory frequency parameter exceeds the preset range, it means that the memory frequency parameter is abnormal; if the CPU frequency parameter exceeds the preset range, it means that the CPU frequency parameter is abnormal;

[0114] Extract the port traffic. When the traffic of any access port exceeds the preset value for a preset period of time, a monitoring warning message is generated.

[0115] By calculating the difference between the standard CPU frequency and the actual frequency to obtain the CPU frequency parameter, and by calculating the difference between the standard memory frequency and the actual frequency to obtain the memory frequency parameter, the system can accurately measure the degree to which the actual CPU and memory operating status deviates from the standard state. If the frequency parameter falls below the preset value, it indicates that the CPU or memory may be experiencing performance degradation issues such as hardware aging, overheating, or insufficient power supply. This allows system administrators to promptly identify potential performance issues and take proactive maintenance and repair measures, thereby avoiding system failures or business interruptions caused by device performance issues.

[0116] Optimize resource allocation: Accurately understanding the CPU and memory frequency parameters helps to allocate system resources appropriately. For example, if you find that an application is taking up too much CPU resources, resulting in abnormal CPU frequency parameters, you can optimize the application or adjust its operation strategy to improve resource utilization and operating efficiency of the entire system.

[0117] In industrial networks, many critical tasks require real-time data and instruction processing. CPU frequency reflects the CPU's computing speed, while memory frequency reflects the data transmission speed between the memory and the CPU. Abnormalities in these two parameters, such as low frequencies, can slow system processing, making it difficult to respond to external commands and process internal data. For example, in automated production lines, delayed execution of control instructions can lead to disconnected production processes, impacting the continuity and stability of the entire production process and potentially causing safety incidents.

[0118] When an industrial network faces security threats, such as cyberattacks, the system must respond quickly, performing intrusion detection and virus removal. Normal CPU and memory frequencies ensure efficient operation of security protection software, enabling timely detection and resolution of threats. Abnormal frequency parameters significantly reduce the efficiency of security software, potentially preventing attacks in a timely manner. This can lead to exploitation of security vulnerabilities and serious consequences, such as data leakage and equipment damage.

[0119] Industrial networks involve a vast amount of critical information, including production data and process parameters. The integrity of this data is crucial to the safety and quality of the production process. Abnormal CPU and memory frequency parameters can lead to errors in data processing, such as inaccurate calculations and data transmission loss, compromising data integrity. Once data integrity is compromised, it can lead to incorrect production decisions, compromise product quality, and even cause safety incidents.

[0120] Memory is a temporary data storage area, and its frequency parameters affect data read and write speeds. If the memory frequency is too low, data read and write operations will be slow, potentially causing data to remain in memory for an extended period of time, increasing the risk of data tampering or leakage. Furthermore, abnormal CPU frequency can affect the management and control of data storage devices, such as slowing hard drive read and write speeds and delaying data backup, thereby reducing data storage security.

[0121] Industrial networks utilize various communication protocols, such as Modbus and Profibus, for information exchange between devices. Proper CPU and memory frequency parameters are essential for ensuring the correct operation of these communication protocols. Abnormal frequency parameters can lead to protocol parsing errors, communication interruptions, data transmission errors, and other issues, disrupting normal communication on the industrial network. This not only impacts the coordination and control of production processes but can also be exploited by attackers to disrupt communication protocols and implement security threats such as man-in-the-middle attacks and data tampering.

[0122] Security devices such as firewalls and intrusion detection systems in industrial networks need to process large amounts of network traffic data in real time. CPU and memory frequency parameters directly affect the processing capabilities of these security devices. If the frequency is too low, security devices may not be able to analyze and filter network traffic in a timely manner, allowing malicious traffic to enter the industrial network and increasing the risk of network attacks.

[0123] CPUs and memory are core components of industrial equipment. Abnormal frequency parameters can indicate hardware failure. Prolonged low-frequency operation can lead to overheating, performance degradation, and other issues, increasing the probability of equipment failure. Once a device fails, it can disrupt the normal operation of the industrial network and even paralyze the entire production system, causing significant financial losses and safety risks to the enterprise.

[0124] In industrial networks, different devices must be compatible and work together. Abnormal CPU and memory frequency parameters may affect compatibility between devices, resulting in devices not being able to communicate or work together properly. For example, some devices can only effectively exchange data with other devices within a specific frequency range. If the frequency parameters exceed this range, communication failures may occur, affecting the overall stability and reliability of the industrial network.

[0125] Similarly, if memory frequency parameters exceed the preset range, it indicates abnormal memory frequency parameters. Similarly, if CPU frequency parameters exceed the preset range, it indicates abnormal CPU frequency parameters. It may also indicate that the CPU or memory is overclocked. Overclocking causes the CPU to operate beyond its designed frequency, resulting in a significant increase in heat generation. If the cooling system cannot dissipate heat promptly, the CPU temperature will rise rapidly. Prolonged high-temperature operation will accelerate the aging of components such as transistors and capacitors within the CPU and may even burn out the CPU. For example, in some extreme overclocking tests, the CPU temperature can reach over 100°C, and such high temperatures can cause irreversible damage to the CPU.

[0126] Overclocking changes parameters like the CPU's clock frequency and operating voltage, increasing hardware compatibility issues and leading to unstable system operation. This can cause blue screens, freezes, and frequent reboots, impacting the normal operation of industrial network security equipment and, in turn, the security of the entire industrial network.

[0127] Overclocking can cause the CPU to operate under high load for extended periods, accelerating the wear of its internal components and shortening their lifespan. Furthermore, overclocking can also affect other hardware, such as the motherboard and memory, reducing overall system stability and reliability and increasing the risk of hardware failure.

[0128] Overclocking increases the CPU's operating voltage, which in turn increases its energy consumption. This not only increases the device's operating costs but also causes it to generate even more heat, requiring a more powerful cooling system to maintain normal operation, further increasing the complexity and cost of the device.

[0129] Disadvantages of memory overclocking: Risk of hardware damage:

[0130] Memory overclocking can cause the operating frequency and voltage of memory modules to exceed their designed range, resulting in increased heat generation in the memory chips. Long-term high-temperature operation can accelerate the aging of components within the memory chips and may even burn out the memory modules, causing hardware damage.

[0131] Overclocked memory may cause data transmission errors and increased latency, leading to unstable system operation. This can cause blue screens, freezes, and data loss, impacting the normal operation of industrial network security equipment and, in turn, the security of the entire industrial network.

[0132] While memory overclocking can theoretically increase memory read and write speeds, the actual performance gains are often limited. This is because memory performance is constrained by factors such as the CPU memory controller and motherboard wiring. Overclocked memory may not achieve the expected performance improvement, and may even experience performance degradation.

[0133] Increased energy consumption and heat generation: Memory overclocking increases the memory's operating voltage, which in turn increases its energy consumption and heat generation. This not only increases the device's operating costs but also raises the device's internal temperature, requiring a more powerful cooling system to maintain normal operation, further increasing the device's complexity and cost.

[0134] The process of obtaining the hardware resource evaluation parameters and determining anomalies is as follows:

[0135] Extract the CPU usage and memory usage, and record the duration when the CPU usage exceeds the preset value and the duration when the memory usage exceeds the preset value, that is, obtain the abnormal CPU usage duration and the abnormal memory usage duration;

[0136] The abnormal CPU usage duration and the abnormal memory usage duration constitute hardware resource evaluation parameters. If either the abnormal CPU usage duration or the abnormal memory usage duration exceeds the preset value, it indicates that the hardware resource evaluation parameter is abnormal.

[0137] CPU frequency parameters, memory frequency parameters, and port traffic information provide system administrators with comprehensive system operating status data, helping them make informed decisions. For example, frequency parameter changes can be used to determine whether hardware upgrades or replacements are necessary; port traffic monitoring results can be used to optimize network configurations and improve network performance.

[0138] The protective equipment monitoring unit monitors the protective equipment of the intelligent terminal device. The specific process of obtaining the protective equipment monitoring information is as follows:

[0139] The protective equipment monitoring unit includes image acquisition equipment and electronic fence equipment;

[0140] The image acquisition device is used to collect image information of smart terminal devices and electronic fence devices in real time;

[0141] The electronic fence device consists of at least three groups of rod-shaped devices with intelligent sensing functions arranged around the intelligent terminal device;

[0142] The intelligent sensing function of the electronic fence device is realized by multiple laser emitting devices and multiple laser receiving devices set on the electronic fence device. Each laser emitting device corresponds to a laser receiving device, which collects emission information from the laser emitting device and receives information from the laser receiving device.

[0143] Image acquisition equipment can capture real-time image information from smart terminals and electronic fences, providing intuitive visual data to monitoring personnel. This helps promptly detect any unusual changes in a device's appearance, such as damage to the device's casing or obvious signs of physical damage. For smart terminals, external damage may indicate damage to internal components, impacting normal operation; for electronic fences, any abnormal appearance may impair their protective functionality.

[0144] Through real-time image acquisition, monitoring personnel can continuously monitor the operating status of the equipment. Whether it is day or night, the image acquisition equipment can work uninterruptedly and capture any abnormal situation in time, providing all-weather protection for industrial network security.

[0145] An electronic fence system consists of at least three groups of intelligent sensing poles, arranged around a smart terminal device to form a closed or semi-closed protective zone. This layout effectively prevents unauthorized persons or objects from approaching the smart terminal device, reducing the risk of physical damage or unauthorized access to the device.

[0146] The intelligent sensing function of the electronic fence system is realized through laser transmitters and receivers. Each laser transmitter corresponds to a laser receiver. By collecting the transmission and reception information, it can accurately sense the changes of objects within the protection area. If an object enters or blocks the laser beam, the system can immediately detect it and issue an alarm, prompting relevant personnel to take appropriate measures.

[0147] By collecting the transmission information of the laser transmitting device and the reception information of the laser receiving device, the status of the electronic fence can be accurately determined. By analyzing the differences between the transmission and reception information, such as the changes in the laser intensity, frequency, reception time and other parameters, it is possible to accurately determine whether an abnormality has occurred and the specific location of the abnormality.

[0148] When an abnormal situation is detected, the system can respond quickly and generate warning information in a timely manner. This allows relevant personnel to be informed of the abnormal situation at the first time and take appropriate measures to deal with it, reducing losses and risks;

[0149] Image acquisition equipment and electronic fencing devices work together to form a multi-dimensional security protection system. Image acquisition equipment provides visual monitoring, while electronic fencing devices provide physical protection. The two complement each other and enhance the security of smart terminal devices.

[0150] Not only can it send out timely alarms when abnormal situations occur, but it can also play a preventive role. Potential intruders or vandals will be deterred when they see the presence of comprehensive protective equipment and monitoring systems, thus reducing the probability of security incidents.

[0151] The setting process of the electronic fence device is as follows:

[0152] First, an image of the smart terminal device is captured from directly above. The image of the smart terminal device captured directly above is processed to extract its center point, which is marked as the reference point A. The length Y of the longest side of the smart terminal device is then measured.

[0153] Then draw a circle U1 with reference point A as the center and Y / 2 as the radius, and then draw a triangle U2 circumscribed to circle U1;

[0154] The three corners K1, K2 and K3 of triangle U2 are selected as the setting points of the electronic fence equipment;

[0155] Using the center point of the smart terminal device as the reference point, draw a circle with a radius of half the length of the device's longest side. Then, draw a circumscribed triangle based on this circle to determine the location of the electronic fence device. This ensures that the electronic fence forms a large and reasonable protection area that completely surrounds the smart terminal device, providing it with all-round protection and avoiding blind spots. This ensures that any illegal attempts to approach the device from the surrounding area can be detected in a timely manner.

[0156] This setup fully considers the actual size and spatial layout of smart terminal devices. It neither places the electronic fence too close to the device, restricting normal operation and maintenance space, nor is it too far away, resulting in poor protection. Through scientific calculations and graphic rendering, it achieves rational use of space, ensuring effective protection while also balancing practical operational convenience.

[0157] Capturing images from directly above and extracting their center as a reference point provides a precise reference for subsequent setup. Drawing circles and triangles based on this precise reference ensures the precise placement of electronic fence devices. This allows the electronic fence to more accurately perceive changes in the surrounding environment during monitoring, promptly detecting anomalies and issuing alerts, improving monitoring accuracy and reliability.

[0158] When electronic fence devices are placed at the three corners of a triangle, they are evenly distributed around the smart terminal device. This even distribution ensures that the monitoring signal covers the entire protection area more evenly, avoiding blind spots or uneven signal strength. Individual electronic fence devices can collaborate with each other to form an efficient monitoring network, improving the ability to detect and handle abnormal situations.

[0159] The specific process of processing protective equipment monitoring information to generate monitoring warning information is as follows:

[0160] Extracting image information of smart terminal devices and image information of electronic fence devices;

[0161] Obtain reference point A from the image information of the smart terminal device and mark it as point F1;

[0162] Then, the image information of the electronic fence device is processed to extract the center point of the electronic fence device and marked as F2, F3 and F4;

[0163] Then connect point F1 with F2, F3 and F4 respectively to obtain line segments L1, L2 and L3;

[0164] Then connect F2 and F3 to obtain line segment L4, connect F2 and F4 to obtain line segment L5, and connect F3 and F4 to obtain line segment L6;

[0165] Evaluate line segments L1, L2, and L3. When there are abnormalities in line segments L1, L2, and L3, a monitoring warning message is generated, indicating that the electronic fence device or smart terminal device has an abnormal displacement;

[0166] When the laser emitting device does not correspond to the laser receiving device, a monitoring warning message is directly generated;

[0167] When evaluating line segments L4, L5, and L6, if there are abnormalities in line segments L4, L5, and L6, but the laser emitting device and the laser receiving device are still corresponding, a monitoring warning message is generated, indicating that the intelligent terminal device has an abnormal displacement;

[0168] By extracting the reference center point F1 of the smart terminal device and the center point of the electronic fence device, a line segment relationship is constructed, and the relative position change between the device and the fence can be accurately quantified based on geometric coordinates.

[0169] When evaluating abnormalities in the line L1-L3 between F1 and the fence device, it can directly determine whether the smart terminal device or the electronic fence device has moved, such as the device itself moving or the fence being displaced by external force, to avoid overlooking abnormalities in a single device.

[0170] When line segment L4-L6 is abnormal and the laser device is still corresponding, it is clearly prompted that the smart terminal device has abnormal displacement (because the position of the fence device has not changed but the device itself has moved, resulting in a change in relative distance, to avoid confusion with the displacement of the fence device itself).

[0171] When the laser equipment does not correspond, an alarm is triggered directly, covering the scenario where the fence equipment shifts and causes the laser path to be interrupted, realizing two-way monitoring of the equipment and fence status.

[0172] Combining the geometric line segment analysis of image processing with the correspondence between laser transmitting / receiving devices, a dual verification mechanism of visual positioning + physical sensing is formed.

[0173] For example, if line segment L4-L6 is abnormal but the laser device still corresponds, it means that the fence device has not moved and the abnormality is caused by the displacement of the smart terminal device itself, eliminating misjudgment caused by environmental interference (such as light changes and slight vibrations).

[0174] Differentiate and warn about the displacement of the equipment itself (needs priority treatment) and the displacement of the fence equipment (needs to check the protective structure), so that operation and maintenance personnel can quickly locate the main body of the problem and improve response efficiency.

[0175] Direct warnings are issued when laser equipment does not correspond, ensuring that even if no obvious displacement occurs (such as a foreign object briefly blocking the laser beam), intrusion or equipment failure signals can be captured in time to avoid missed detection.

[0176] Accurately determining the displacement of smart terminal devices (such as position offset caused by vibration or human movement) can prevent hidden faults such as poor line contact and abnormal heat dissipation caused by loose equipment, ensuring long-term stable operation of the equipment.

[0177] In industrial scenarios, equipment may experience minor displacement due to mechanical vibration or loose installation, or fences may tilt or shift due to external collisions. By comprehensively evaluating geometric segments and laser status, the system can adapt to subtle changes in complex environments, achieving early warning and precise traceability.

[0178] The changes in line segment length and angle based on image processing provide monitoring personnel with an intuitive reference for equipment location status, allowing them to quickly identify anomalies without relying on complex algorithms, reducing manual analysis costs.

[0179] Different types of warning information (such as equipment displacement, fence failure, and intrusion warning) are automatically generated through preset conditions (such as line segment anomalies + laser correspondence / non-correspondence), supporting automated task scheduling of the operation and maintenance system (such as dispatching inspections and triggering security responses), thereby improving emergency handling efficiency.

[0180] Through precise positioning of benchmark points, multi-dimensional geometric analysis, and laser status cross-verification, accurate differentiation and comprehensive monitoring of the displacement of smart terminal devices and protective equipment are achieved, which not only covers the risk of equipment failure itself, but also strengthens the ability to protect against external intrusion. At the same time, the efficiency and reliability of industrial network security management are improved through graded warnings and automation mechanisms.

[0181] The system also processes the image information of the electronic fence device to obtain the angle between the electronic fence device and the ground. When the angle between the electronic fence device and the ground exceeds the preset range, but the laser transmitting device and the laser receiving device are still aligned, a monitoring warning message is generated, indicating that the smart terminal device has undergone abnormal displacement.

[0182] The image information of the intelligent terminal device is processed. When there is a human body in the electronic fence device and the laser transmitting device and the laser receiving device do not correspond, a person confirmation message is generated to confirm whether the person is allowed to enter. If the person is not allowed to enter, a monitoring warning message is generated;

[0183] By analyzing the angle between the electronic fence device and the ground, it can be determined whether the device is tilting or falling. If the angle exceeds the preset range but the laser transmitter / receiver still responds (i.e., the laser path is not blocked), it indicates that the smart terminal device may have moved, causing the relative angle of the fence to change (rather than a fault in the fence itself).

[0184] Eliminate misjudgment due to a single factor: If the alarm is triggered based solely on the mismatch of the laser device, a false alarm may occur due to a temporary obstruction. However, if the angle is abnormal and the laser still corresponds, the device's own displacement (such as position offset caused by human movement or vibration) can be accurately located to avoid misjudgment caused by environmental interference.

[0185] Early detection of hidden safety hazards

[0186] In industrial scenarios, even slight tilts or displacements of equipment can lead to problems like poor heat dissipation and cable strain, which can eventually lead to equipment failure. By monitoring the angle, the system can provide early warning before significant equipment displacement occurs, allowing maintenance personnel to promptly reinforce the equipment or adjust its installation position to ensure its physical stability.

[0187] Personnel presence detection and permission verification: When a human body is detected within the electronic fence and the laser device does not correspond (that is, someone enters and the laser path is interrupted), the system first generates personnel confirmation information to distinguish between people allowed to enter (such as authorized operation and maintenance personnel) and illegal intruders.

[0188] Prevent internal security vulnerabilities: Immediately trigger an alarm for unauthorized entry, which can effectively prevent internal personnel from misoperation, malicious damage or data theft, and make up for the defect that simple physical fences cannot identify people's identities.

[0189] Combining image recognition and laser status, a dual protection of visual confirmation + physical blocking is formed: if the person is allowed to enter, the system can temporarily release the alarm to avoid false alarms;

[0190] If it is an unauthorized person, the sound and light alarm will be triggered immediately, the security system will be notified, and video evidence will be recorded at the same time to provide a basis for tracing the security incident.

[0191] Triple verification of angle, laser, and image: abnormal angle of the electronic fence (physical structure change) + laser still corresponding (no path obstruction) → device displacement;

[0192] There is a human body inside the fence (visual evidence) + the laser does not correspond (physical blocking) → the person intruder needs to be identified.

[0193] By combining multiple conditions rather than a single indicator, the probability of missed / misjudgment can be greatly reduced. For example, invalid warnings can be avoided due to slight shaking of the fence, such as a slight change in the angle but not exceeding the threshold, or a person passing by briefly, without entering the core area.

[0194] Adapt to complex industrial environment

[0195] In harsh industrial environments such as dust and vibration, electronic fences may slowly tilt due to mechanical stress, or personnel may need to frequently enter maintenance areas. The system uses dynamic thresholds, such as preset angle ranges and authorized personnel whitelists, to flexibly adapt to scenario requirements, ensuring safety without affecting normal operations and maintenance.

[0196] The process of determining the mismatch between the laser emitting device and the laser receiving device is as follows:

[0197] Each laser emitting device corresponds to a laser receiving device. The emission information is the time point information T1 when the laser emitting device emits the laser, and the receiving information is the time point information T2 when the receiving device receives the laser.

[0198] When the difference between T2 and T1 is calculated, the receiving time difference Tt is obtained. When the receiving time difference Tt is greater than the preset value, it means that there is no correspondence;

[0199] Or when the laser emitting device emits laser, but the laser receiving device still cannot receive the laser, it means there is no correspondence;

[0200] The emission frequency of each laser emitting device is different, that is, the receiving frequency standard of its corresponding laser receiving device also corresponds one to one;

[0201] When the emission frequency of the laser emitting device is inconsistent with the laser frequency received by the corresponding laser receiving device, it means that they do not correspond;

[0202] By precisely comparing the laser emission time point T1 and the reception time point T2, and calculating the reception time difference Tt, the system can detect any foreign objects blocking the laser beam path, causing laser propagation delays, if Tt exceeds a preset value. This indicates that an object has illegally entered the protected area, and the system can immediately issue an alarm. For example, in an industrial plant, if a person or large equipment accidentally enters the protected area of ​​a smart terminal device and interferes with laser transmission, it can be quickly detected, effectively preventing damage to critical equipment or misoperation.

[0203] When the laser transmitting device emits a laser, but the receiving device still cannot receive the laser, this directly indicates that the laser transmission path is completely blocked. It is very likely that the protected area has been seriously invaded or an equipment failure has occurred. At this time, a warning message is generated, which can prompt security personnel or operation and maintenance personnel to immediately investigate the problem and ensure the safety of the area.

[0204] Based on the unique transmission frequency of each laser transmitter and the corresponding receiving frequency standard of the corresponding receiver, the system monitors whether the two frequencies are consistent. If they are inconsistent, in addition to indicating possible intrusion interference, it can also promptly detect hardware failures in the laser transmitter or receiver itself, such as aging of the laser generator on the transmitter side causing frequency drift, or decreased detector sensitivity on the receiver side, which is unable to accurately capture the corresponding frequency laser. This early fault detection mechanism allows technicians to repair or replace equipment in advance, avoiding the failure of the protection system due to equipment failure, and ensuring the long-term stable operation of the industrial network.

[0205] By accurately identifying various modes of mismatching, maintenance personnel can quickly identify the root cause of the problem based on specific abnormal feedback (e.g., time discrepancies, lack of laser reception, inconsistent frequencies), develop targeted maintenance plans, reduce equipment downtime, and improve production efficiency. For example, frequent reception time discrepancies may indicate increased ambient light interference in the protected area, necessitating adjustments to the equipment's installation location or optimization of anti-interference measures.

[0206] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A monitoring system for industrial network intelligent terminal equipment, characterized in that: include: An intelligent terminal device monitoring unit is used to monitor the intelligent terminal device and obtain the intelligent terminal device information; A protective equipment monitoring unit is used to monitor the protective equipment of the intelligent terminal device and obtain protective equipment monitoring information; A processing unit, configured to process the intelligent terminal device information and the protective device monitoring information to generate monitoring warning information; The information sending unit is used to send monitoring warning information to a preset receiving terminal.

2. A monitoring system for industrial network intelligent terminal equipment according to claim 1, characterized in that: The specific process of monitoring the smart terminal device and obtaining the smart terminal device information is as follows: A vibration sensor is provided on the smart terminal device to collect vibration information of the heat dissipation device in the smart terminal device; Real-time monitoring of hardware resource usage information, namely monitoring the CPU usage and memory usage of smart terminal devices; At the same time, the CPU frequency and memory frequency of the intelligent terminal devices are monitored, and the port traffic of the intelligent terminal devices is also monitored; Air flow rate monitoring devices are installed inside and outside the heat dissipation port of the intelligent terminal device to monitor the internal air flow rate and the external air flow rate.

3. A monitoring system for industrial network intelligent terminal equipment according to claim 2, characterized in that: The specific process of processing smart terminal device information and generating monitoring warning information is as follows: Continuously collect vibration information of the heat dissipation device in the smart terminal device i times, mark it as Wi, use the value of Wi as the y-axis and the collection interval as the x-axis to establish a plane rectangular coordinate system P; The Wi mark is drawn as a broken line graph on the plane rectangular coordinate system P, and a standard line is set on the plane rectangular coordinate system P. When the Wi are all above the standard line, a monitoring warning message is generated; Perform trend analysis on the line graph, and generate monitoring warning information when the line graph trend is gradually rising; Process the hardware resource usage information to obtain hardware resource evaluation parameters. When the hardware resource evaluation parameters are abnormal, a monitoring warning message is generated; Process the CPU frequency and memory frequency to obtain CPU frequency parameters and memory frequency parameters; When the line graph trend is downward or the internal air flow rate and the external air flow rate are both greater than any of the preset values, but the CPU frequency parameter or the memory frequency parameter is abnormal, a monitoring warning message is generated; When both the internal air flow rate and the external air flow rate are less than or equal to the preset value, a monitoring warning message is generated; When the internal air flow rate is greater than the preset value but the external air flow rate is less than the preset value, a monitoring warning message is generated; When the internal air flow rate is less than a preset value for more than a preset time or the external air flow rate is less than a preset value for more than a preset time, a monitoring warning message is generated.

4. A monitoring system for industrial network intelligent terminal equipment according to claim 3, characterized in that: The process of obtaining the hardware resource evaluation parameters and determining anomalies is as follows: Extract the CPU usage and memory usage, and record the duration when the CPU usage exceeds the preset value and the duration when the memory usage exceeds the preset value, that is, obtain the abnormal CPU usage duration and the abnormal memory usage duration; The abnormal CPU usage duration and the abnormal memory usage duration constitute hardware resource evaluation parameters. If either the abnormal CPU usage duration or the abnormal memory usage duration exceeds the preset value, it indicates that the hardware resource evaluation parameter is abnormal. The process of obtaining the CPU frequency parameters and memory frequency parameters is as follows: Calculate the difference between the CPU standard frequency and the CPU frequency to obtain the CPU frequency parameters; Calculate the difference between the memory standard frequency and the memory frequency to obtain the memory frequency parameters; If the memory frequency parameter exceeds the preset range, it means that the memory frequency parameter is abnormal; if the CPU frequency parameter exceeds the preset range, it means that the CPU frequency parameter is abnormal; Extract the port traffic. When the traffic of any access port exceeds the preset value for a preset period of time, a monitoring warning message is generated.

5. The monitoring system for industrial network intelligent terminal equipment according to claim 1, characterized in that: The protective equipment monitoring unit monitors the protective equipment of the intelligent terminal device. The specific process of obtaining the protective equipment monitoring information is as follows: The protective equipment monitoring unit includes image acquisition equipment and electronic fence equipment; The image acquisition device is used to collect image information of smart terminal devices and electronic fence devices in real time; The electronic fence device consists of at least three groups of rod-shaped devices with intelligent sensing functions arranged around the intelligent terminal device; The intelligent sensing function of the electronic fence device is realized by multiple laser emitting devices and multiple laser receiving devices set on the electronic fence device. Each laser emitting device corresponds to a laser receiving device, and the laser emitting device collects emission information, and the laser receiving device collects reception information.

6. A monitoring system for industrial network intelligent terminal equipment according to claim 5, characterized in that: The setting process of the electronic fence device is as follows: First, an image of the smart terminal device is captured from directly above. The image of the smart terminal device captured directly above is processed to extract its center point, which is marked as the reference point A. The length Y of the longest side of the smart terminal device is then measured. Then draw a circle U1 with reference point A as the center and Y / 2 as the radius, and then draw a triangle U2 circumscribed to circle U1; The three corners K1, K2 and K3 of the triangle U2 are respectively selected as the setting points of the electronic fence equipment.

7. A monitoring system for industrial network intelligent terminal equipment according to claim 6, characterized in that: The specific process of processing protective equipment monitoring information to generate monitoring warning information is as follows: Extracting image information of smart terminal devices and image information of electronic fence devices; Obtain reference point A from the image information of the smart terminal device and mark it as point F1; Then, the image information of the electronic fence device is processed to extract the center point of the electronic fence device and marked as F2, F3 and F4; Then connect point F1 with F2, F3 and F4 respectively to obtain line segments L1, L2 and L3; Then connect F2 and F3 to obtain line segment L4, connect F2 and F4 to obtain line segment L5, and connect F3 and F4 to obtain line segment L6; Evaluate line segments L1, L2, and L3. When there are abnormalities in line segments L1, L2, and L3, a monitoring warning message is generated, indicating that the electronic fence device or smart terminal device has an abnormal displacement; When the laser emitting device does not correspond to the laser receiving device, a monitoring warning message is directly generated; When evaluating line segments L4, L5 and L6, when there are abnormalities in line segments L4, L5 and L6, but the laser emitting device and the laser receiving device still correspond, a monitoring warning message is generated, indicating that abnormal displacement has occurred in the smart terminal device.

8. The monitoring system for industrial network intelligent terminal equipment according to claim 5, characterized in that: The system also processes the image information of the electronic fence device to obtain the angle between the electronic fence device and the ground. When the angle between the electronic fence device and the ground exceeds the preset range, but the laser transmitting device and the laser receiving device are still aligned, a monitoring warning message is generated, indicating that the smart terminal device has undergone abnormal displacement. The image information of the smart terminal device is processed. When there is a human body in the electronic fence device and the laser emitting device does not correspond to the laser receiving device, a personnel confirmation message is generated to confirm whether the person is allowed to enter. When the person is not allowed to enter, a monitoring warning message is generated.

9. A monitoring system for industrial network intelligent terminal equipment according to claim 5, characterized in that: The process of determining the mismatch between the laser emitting device and the laser receiving device is as follows: Each laser emitting device corresponds to a laser receiving device. The emission information is the time point information T1 when the laser emitting device emits the laser, and the receiving information is the time point information T2 when the receiving device receives the laser. When the difference between T2 and T1 is calculated, the receiving time difference Tt is obtained. When the receiving time difference Tt is greater than the preset value, it means that there is no correspondence; Or when the laser emitting device emits laser, but the laser receiving device still cannot receive the laser, it means there is no correspondence; The emission frequency of each laser emitting device is different, that is, the receiving frequency standard of its corresponding laser receiving device also corresponds one to one; When the emission frequency of the laser emitting device is inconsistent with the laser frequency received by the corresponding laser receiving device, it indicates that there is no correspondence.

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