Early warning individual soldier system based on low-voltage line

Abstract

The invention discloses an early warning individual soldier system based on a low-voltage line, and the system comprises a detection signal injection module which is used for injecting a detection signal to the low-voltage line; the standing wave phase analysis module is used for capturing and analyzing standing wave phase abrupt change points generated by the detection signals on the low-voltage line so as to position abnormal events; the electromagnetic field gradient monitoring module is used for monitoring the gradient change of an electromagnetic field around the low-voltage line in real time and identifying disturbance characteristics of human body approaching and metal object movement; the data processing and decision-making module is used for receiving data from the standing wave phase analysis module and the electromagnetic field gradient monitoring module, carrying out position matching judgment through a space matching degree S, judging whether a standing wave phase abrupt change point is matched with the position of the electromagnetic field gradient abnormal disturbance information or not, if yes, judging that an abnormal behavior event exists, and if not, judging that the abnormal behavior event exists. Early warning information is sent to the remote communication module; and the remote communication module is used for remotely controlling the camera, the thermal imager and the wireless temperature measurement sensor near the low-voltage line.

Description

Technical Field

[0001] The present application relates to the field of intelligent power distribution technology, and in particular to an early warning individual system based on low-voltage lines. Background Art

[0002] Low-voltage lines undertake the key task of supplying electricity to various users. With the development of society, the demand for electricity continues to grow, and the scale and complexity of low-voltage lines continue to increase. At the same time, low-voltage lines face multiple security threats such as illegal access to equipment, line vandalism, and interference from the surrounding environment. These threats may not only lead to power supply interruptions, affecting residents' lives and corporate production, but may also cause safety accidents such as electrical fires, posing serious hidden dangers to people's lives and property. Therefore, real-time and accurate monitoring and early warning of low-voltage lines to ensure their safe and stable operation has become an important issue that needs to be urgently addressed in the power industry.

[0003] In the prior art, there are deficiencies in the monitoring methods for low-voltage lines. In terms of detecting illegal access devices and line destruction behaviors, traditional methods mostly rely on monitoring of conventional electrical parameters such as current and voltage. However, these methods are difficult to capture early subtle abnormal changes and are easily disturbed by normal load fluctuations of the line, resulting in a high false alarm rate. When there is a slight abnormal access behavior in the line, due to the low power of the access equipment, only slight changes in current and voltage are caused, and traditional monitoring methods cannot identify them in a timely and accurate manner. In addition, for potential threats in the environment surrounding the line, conventional monitoring methods either require physical contact and cannot achieve early warning, or rely on on-site inspections by power supply personnel, have poor adaptability to complex environments, and frequently give false alarms.

[0004] In summary, in the face of increasingly complex security threats, the existing low-voltage line monitoring technology has exposed problems such as low monitoring accuracy, high false alarm rate, and inability to adapt to complex environments. In addition, different monitoring methods are independent of each other and lack an effective coordination mechanism, making it difficult to conduct all-round, multi-level comprehensive monitoring and analysis of low-voltage lines. Summary of the invention

[0005] In view of this, the embodiment of the present application provides an early warning individual system based on low-voltage lines, which can actively inject detection signals within a specific frequency range into the low-voltage lines by introducing a detection signal injection module, so that the system can more accurately capture subtle changes in the lines, and combine the standing wave phase analysis module and the electromagnetic field gradient monitoring module to obtain richer physical quantity information and form a more accurate basis for judgment. This multi-level data acquisition and analysis mechanism significantly improves the ability to perceive changes in the state of low-voltage lines, greatly reduces the probability of misjudgment due to errors, and ensures the high reliability and accuracy of the monitoring results.

[0006] According to one aspect of the present application, a warning single-soldier system based on low-voltage lines is provided, including: a detection signal injection module, a standing wave phase analysis module, an electromagnetic field gradient monitoring module, a data processing and decision-making module, and a remote communication module;

[0007] The detection signal injection module is used to inject a detection signal into the low-voltage line;

[0008] The standing wave phase analysis module is used to capture and analyze the standing wave phase mutation points generated by the detection signal on the low-voltage line to locate abnormal events and report the abnormal events;

[0009] The electromagnetic field gradient monitoring module is used to monitor the change of the electromagnetic field gradient around the low-voltage line in real time and identify the disturbance characteristics of human body approach and metal object movement;

[0010] The data processing and decision-making module is used to receive data from the standing wave phase analysis module and the electromagnetic field gradient monitoring module, perform position matching judgment through the spatial matching degree S, judge whether the positions of the standing wave phase mutation points and the electromagnetic field gradient abnormal disturbance information match. When the positions match, it is determined that there is an abnormal behavior event, and a warning message is sent to the remote communication module. The spatial matching degree where Δφ is the position offset of the standing wave phase mutation point, ΔE is the position offset of the electromagnetic field gradient abnormal disturbance information, σ φ is the standard deviation of the standing wave phase mutation point, and σ E is the standard deviation of the electromagnetic field gradient abnormal disturbance information;

[0011] The remote communication module is used to remotely control the camera installed near the low-voltage line for video viewing, remotely control the thermal imager installed near the low-voltage line to monitor the temperature distribution of the low-voltage line, and remotely control the wireless temperature sensor installed at the key parts of the low-voltage line to monitor the temperature of the key parts of the low-voltage line.

[0012] By means of the above technical solution, the warning single-soldier system based on low-voltage lines provided by the embodiment of the present application has the following beneficial effects:

[0013] 1. By introducing the detection signal injection module and the standing wave phase analysis module, the present invention realizes high-precision positioning of abnormal behavior events on low-voltage lines. The system can capture and analyze the standing wave phase mutation points generated by the detection signal on the low-voltage line, thereby accurately judging the positions of abnormal behavior events, perceiving the abnormal operation on the monitored key lines in advance, timely reminding and reporting, achieving hidden danger investigation and reducing the failure rate, providing on-site personnel with positioning and taking countermeasures, enhancing the recognition ability of abnormal disturbances, and improving the comprehensiveness and reliability of the warning system.

[0014] Second, the intelligent monitoring unit for low-voltage lines in the early warning single-soldier system of the present invention has the functions of three-phase voltage measurement, three-phase current measurement, active power and reactive power acquisition, can comprehensively monitor the electrical parameters of low-voltage lines, timely detect overvoltage, undervoltage, and overcurrent faults of the lines, and through the indicator light and event reporting function, quickly notify the operation and maintenance personnel for processing. Secondly, the system adopts a variety of communication methods, including RS-485 and micro-power wireless communication, ensuring the stability and reliability of data transmission, realizing real-time data transmission, improving the reliability and practicability of the system, and providing a strong guarantee for the safe operation of low-voltage lines.

[0015] The above description is only an overview of the technical solution of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the specific embodiments of this application are specifically given below. Brief Description of the Drawings

[0016] The drawings described herein are used to provide a further understanding of this application, and constitute a part of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation of this application. In the drawings:

[0017] Figure 1 The structural schematic diagram of an early warning single-soldier system based on low-voltage lines provided by an embodiment of this application is shown;

[0018] Figure 2 The working flow chart of an early warning single-soldier system based on low-voltage lines provided by an embodiment of this application is shown. Detailed Description of the Embodiments

[0019] The present application will be described in detail below with reference to the drawings and in combination with embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0020] In this embodiment, an early warning single-soldier system based on low-voltage lines is provided, as Figure 1 shown, including: a detection signal injection module, a standing wave phase analysis module, an electromagnetic field gradient monitoring module, a data processing and decision-making module, and a remote communication module;

[0021] The detection signal injection module is used to inject a detection signal into the low-voltage line;

[0022] The standing wave phase analysis module is used to capture and analyze the standing wave phase mutation points generated by the detection signal on the low-voltage line to locate abnormal events and report abnormal events;

[0023] The electromagnetic field gradient monitoring module is used to monitor the change of the electromagnetic field gradient around the low-voltage line in real time and identify the disturbance characteristics of human body approach and metal object movement;

[0024] The data processing and decision-making module is used to receive the data from the standing wave phase analysis module and the electromagnetic field gradient monitoring module, perform position matching judgment through the spatial matching degree S, and judge whether the position of the standing wave phase mutation point matches the position of the electromagnetic field gradient abnormal disturbance information. When the positions match, it is determined that an abnormal behavior event exists, and a warning message is sent to the remote communication module. The spatial matching degree where Δφ is the position offset of the standing wave phase mutation point, ΔE is the position offset of the electromagnetic field gradient abnormal disturbance information, and σ φ is the standard deviation of the standing wave phase mutation point, and σ E is the standard deviation of the electromagnetic field gradient abnormal disturbance information;

[0025] The remote communication module is used to remotely control the camera installed near the low-voltage line to view videos, remotely control the thermal imager installed near the low-voltage line to monitor the temperature distribution of the low-voltage line, and remotely control the wireless temperature sensors installed at key parts of the low-voltage line to monitor the temperature of key parts of the low-voltage line.

[0026] In the embodiment of the present application, the detection signal injection module injects a specific detection signal into the low-voltage line to provide basic data for subsequent analysis. This step is the start of active monitoring and can enhance the sensitivity of the monitoring system. The standing wave phase analysis module captures and analyzes the standing wave phase mutation points generated by the detection signal on the low-voltage line. The standing wave phase mutation indicates that there is an abnormality in the line, such as an illegally connected device or line damage. By accurately analyzing the change of the standing wave phase, the position of the abnormal event can be located and reported in a timely manner. The electromagnetic field gradient monitoring module monitors the change of the electromagnetic field gradient around the low-voltage line in real time and can identify the disturbance characteristics of human body approach and metal object movement, which helps to early warn of potential threats around the line. The data processing and decision-making module receives the data from the standing wave phase analysis module and the electromagnetic field gradient monitoring module, and judges whether the abnormal information detected by the two modules is position-matched through the spatial matching degree algorithm. If they match, it is determined that an abnormal behavior event exists, and a warning message is sent to the remote communication module to ensure the accuracy and reliability of the monitoring results. The remote communication module supports remotely controlling devices such as cameras, thermal imagers, and wireless temperature sensors installed near the low-voltage line. These devices can provide more intuitive monitoring data to help operators quickly respond to and handle abnormal events.

[0027] By applying the technical solution of this embodiment, through the combination of standing wave phase analysis and electromagnetic field gradient monitoring, early subtle abnormal changes can be captured, the monitoring accuracy can be improved, and the false alarm rate can be reduced. The electromagnetic field gradient monitoring module can monitor potential threats around the line in real time without physical contact, improving the adaptability to complex environments. Moreover, the technical solution covers various means such as electrical parameter monitoring, electromagnetic field gradient monitoring, and remote control, realizing comprehensive, multi-level monitoring and analysis of low-voltage lines. Through timely warning and rapid response, the risks of safety accidents such as power supply interruption and electrical fire caused by line abnormalities can be reduced.

[0028] In the embodiment of the present application, optionally, the standing wave phase analysis module includes a low-voltage line intelligent monitoring unit and a phase deviation calculation unit; the low-voltage line intelligent monitoring unit is used to measure the standing wave phase change on the low-voltage line, capture the phase change situation in real time, and determine the standing wave phase mutation point generated by the detection signal on the low-voltage line; the phase deviation calculation unit is used to calculate the position offset of the standing wave phase mutation point. where φ i represents the phase value of the i-th sampling point, that is, the phase data obtained by the low-voltage line intelligent monitoring unit at the i-th sampling moment when measuring the standing wave phase of the low-voltage line. φ0 is the reference phase reference value, and N is the total number of sampling points, that is, the total number of phase data collected during the entire measurement process. By calculating the position offset of the standing wave phase mutation point relative to the reference phase, the operating state of the low-voltage line is analyzed and judged. The low-voltage line intelligent monitoring unit is also used for: power supply, intelligent communication, three-phase voltage and current measurement. The power supply method of the low-voltage line intelligent monitoring unit for power supply is single-phase AC power supply, with a rated voltage of AC220V and a deviation of ±20%. It has a supercapacitor backup power supply, and the backup power supply maintains the equipment when the main power supply fails. The intelligent communication method of the low-voltage line intelligent monitoring unit includes RS-485 and micro-power wireless communication. The rated AC voltage of the three-phase voltage measurement of the low-voltage line intelligent monitoring unit is 220V, the voltage measurement range satisfies 0.7Un ≤ U ≤ 1.2Un, and the three-phase current measurement range satisfies 5A - 50A and 50A - 600A.

[0029] In this embodiment, as Figure 2 shown, the standing wave phase analysis module is composed of a low-voltage line intelligent monitoring unit and a phase deviation calculation unit working together. The low-voltage line intelligent monitoring unit accurately measures the standing wave phase change on the low-voltage line, continuously captures the phase change situation in real time, and the phase deviation calculation unit calculates the position offset Δφ of the standing wave phase mutation point based on the data provided by the low-voltage line intelligent monitoring unit. The here φ irepresents the phase value of the i-th sampling point, which is the phase data obtained by the phase detection unit at different sampling moments. These data reflect the actual state of the line standing wave phase at each time point. φ0 is the reference phase reference value, which is a stable phase value preset under normal system operation and no line abnormalities, serving as a benchmark for subsequent judgment of phase changes. N is the total number of sampling points, representing the number of phase data collected in a complete monitoring cycle. In actual operation, as time goes by, the phase detection unit continuously collects new phase values according to the sampling frequency. The phase deviation calculation unit subtracts φ i from φ0 to obtain the phase deviation of each sampling point. Then, these N phase deviations are accumulated and averaged to finally obtain the position offset Δφ of the standing wave phase mutation point. This offset reflects the change of the standing wave phase relative to the reference state. By analyzing its magnitude and change trend, it can be determined whether the low-voltage line is abnormal and sent to the data processing and decision-making module for further in-depth analysis and measures. In addition, in terms of power supply, the low-voltage line intelligent monitoring unit adopts a single-phase AC power supply method with a rated voltage of AC220V and an allowable deviation of ±20%. This means that when the actual power supply voltage fluctuates within a certain range, the intelligent monitoring unit can still work normally, ensuring the stability of the system operation. At the same time, it is equipped with a supercapacitor backup power supply. When the main power supply fails, such as a power outage or the voltage drops abnormally beyond the allowable range, the backup power supply can be quickly started to maintain the equipment's continuous operation. This design effectively avoids the interruption of monitoring work caused by the main power supply failure and ensures the continuous collection and transmission of key data, providing a strong guarantee for the reliability of the system. In terms of intelligent communication, this unit supports RS-485 and micro-power wireless communication methods to ensure unobstructed data transmission. In terms of electrical parameter measurement, this unit has the functions of three-phase voltage measurement, three-phase current measurement, active power and reactive power acquisition. The rated AC voltage for three-phase voltage measurement is 220V, and the voltage measurement range satisfies 0.7Un ≤ U ≤ 1.2Un. The three-phase current measurement range satisfies 5A - 50A and 50A - 600A. By real-time monitoring of these electrical parameters, the operation status of the low-voltage line can be comprehensively understood. For example, when the monitored voltage exceeds 1.2Un, it may indicate an overvoltage fault in the line, which will damage the electrical equipment. When the current exceeds the normal range, such as being greater than 600A or less than 5A, it may mean an overcurrent or undercurrent fault in the line, which may cause problems such as line heating and equipment damage. Once these abnormal situations are detected, the intelligent monitoring unit will quickly notify the operation and maintenance personnel for handling through the indicator light and event reporting function. The indicator light can visually display different fault types, such as overvoltage, undervoltage, overcurrent, etc., facilitating the operation and maintenance personnel to quickly identify. The event reporting function remotely views the detailed fault information through the communication module so that the operation and maintenance personnel can take measures in a timely manner to ensure the safe operation of the low-voltage line.

[0030] In an embodiment of the present application, optionally, the electromagnetic field gradient monitoring module is configured to monitor the change of the electromagnetic field gradient around the low-voltage line in real time through a gradient sensor array, and identify the disturbance characteristics of human approach and metal object movement based on the data of the gradient sensors. When a human approaches and a metal object moves around the low-voltage line, it causes a specific change in the electromagnetic field gradient. By analyzing and processing the data collected by the gradient sensors, the disturbance characteristics related to human approach and metal object movement are identified, and the position offset of the electromagnetic field gradient abnormal disturbance information is calculated based on the disturbance characteristics. where E j is the electromagnetic field intensity value of the jth gradient sensor node, E0 is the reference electromagnetic field intensity value, and M is the total number of sensor nodes.

[0031] In this embodiment, the electromagnetic field gradient monitoring module monitors the change of the electromagnetic field gradient around the low-voltage line in real time through a gradient sensor array. The gradient sensor array is composed of multiple sensors distributed at different positions and in different directions. Such a layout can monitor the change of the electromagnetic field around the line in all directions without dead angles. When a human approaches or a metal object moves around the low-voltage line, it will cause a change in the electromagnetic field gradient. This is because the human body and metal objects will generate induced currents in the electromagnetic field, and these induced currents will in turn change the distribution of the surrounding electromagnetic field. The electromagnetic field gradient monitoring module analyzes and processes the data collected by the gradient sensors to identify the disturbance characteristics related to human approach and metal object movement. This module uses to calculate the position offset of the electromagnetic field gradient abnormal disturbance information, where E j is the electromagnetic field intensity value of the jth sensor node, representing the electromagnetic field intensity measured by each sensor node at its location in real time. E0 is the reference electromagnetic field intensity value, which is a reference value determined in advance under normal and interference-free conditions and is used to compare and judge the change of the electromagnetic field intensity. M is the total number of sensor nodes, representing the scale of the entire sensor array. In actual work, the sensor array continuously collects the electromagnetic field intensity data of each node. When a disturbance occurs, the E j measured by each sensor node will change. Subtracting these change values from E0 gives the change amount of the electromagnetic field intensity of each node. Then, the change amounts of all M nodes are accumulated and averaged to obtain the position offset ΔE of the electromagnetic field gradient abnormal disturbance information. This offset reflects the position and degree of the electromagnetic field abnormal disturbance, providing an important basis for the system to judge whether there is a potential security threat. The system will transmit this information to the subsequent data processing and decision-making module for further processing.

[0032] In the embodiments of the present application, optionally, the data processing and decision-making module is configured to make a decision comparison based on the spatial matching score S and the threshold T, and make corresponding decisions according to the comparison result. The threshold where k is an adjustment coefficient, and σ φ is the standard deviation of the standing wave phase mutation points, and σ E is the standard deviation of the abnormal disturbance information of the electromagnetic field gradient. When S ≤ T, it is determined that an abnormal event exists, and a warning message is sent to the remote communication module.

[0033] In this embodiment, the data processing and decision-making module receives data from the standing wave phase analysis module and the electromagnetic field gradient monitoring module, and performs in-depth analysis and judgment. This module makes a position matching judgment through the spatial matching degree S. The spatial matching degree where Δφ is the position offset of the standing wave phase mutation point, which reflects the possible abnormal position information inside the low-voltage line, and ΔE is the position offset of the abnormal disturbance information of the electromagnetic field gradient, which reflects the possible safety threat position information around the line. σ φ is the standard deviation of the standing wave phase mutation points, which measures the dispersion degree of the position offset of the standing wave phase mutation points, that is, the fluctuation of Δφ. If σ φ is small, it indicates that the change of Δφ is relatively stable, and the judgment of the abnormal position is more reliable. On the contrary, if σ φ is large, it means that Δφ fluctuates greatly, and there is a certain degree of uncertainty in the judgment of the abnormal position. Similarly, σ E is the standard deviation of the abnormal disturbance information of the electromagnetic field gradient, which is used to measure the dispersion degree of ΔE. The data processing and decision-making module also makes a decision comparison according to the spatial matching score S and the threshold T. The threshold Here, k is an adjustment coefficient, which is used to balance the sensitivity and false alarm rate of the system. When S ≤ T, the data processing and decision-making module determines that an abnormal event exists, and sends a warning message to the remote communication module. In actual operation, the data processing and decision-making module continuously receives the latest data from the standing wave phase analysis module and the electromagnetic field gradient monitoring module, calculates the spatial matching degree S in real time, and compares it with the threshold T. Once S is less than or equal to T, it indicates that the positions of the standing wave phase mutation points and the abnormal disturbance information of the electromagnetic field gradient match to a certain extent, and there may be abnormal access devices, line damage behaviors or other abnormal events. At this time, the system immediately triggers the warning mechanism to notify relevant personnel to deal with it in time.

[0034] In an embodiment of the present application, optionally, the detection signal injection module is configured to inject a detection signal into the low-voltage line. When the detection signal is transmitted in the low-voltage line, it is manifested in the form of voltage and current. The voltage and current measured by the low-voltage line intelligent monitoring unit include the voltage and current changes caused by the detection signal. After the detection signal is injected, the voltage and current in the line are superimposed with the change components of the detection signal on the original basis, and the change is reflected in the voltage and current data measured by the intelligent monitoring unit. When a local fault exists in the low-voltage line detected by the injected detection signal, the voltage and current at the fault point change abnormally during the transmission of the detection signal. The voltage and current data measured by the intelligent monitoring unit reflect the local fault, and the standing wave phase analysis module captures and analyzes the information of the standing wave phase mutation point generated by the fault point on the low-voltage line.

[0035] In an embodiment of the present application, optionally, the remote communication module is specifically configured to, when receiving a warning message, respectively activate the cameras, thermal imagers, and wireless temperature sensors installed at corresponding positions on the low-voltage line to view abnormal events according to the position information of the standing wave phase mutation point and the position information of the disturbance characteristics included in the warning message.

[0036] In this embodiment, the remote communication module has the function of remotely controlling and viewing videos, supports wireless temperature sensors, and can monitor the real-time data viewing and alarm linkage of cameras and thermal imager devices. After the data processing and decision-making module determines that there is an abnormal event and sends a warning message, it uses a combination of RS-485 and micro-power wireless communication for remote communication and control. RS-485 communication has the characteristics of long transmission distance and strong anti-interference ability, and is suitable for long-distance data transmission in a relatively stable environment. Micro-power wireless communication has the advantages of flexibility, convenience, and simple deployment, and can realize reliable data transmission in complex environments. Through the complementarity of these two communication methods, it is ensured that the warning message can be remotely transmitted in a timely and accurate manner regardless of the environment. Moreover, the remote communication module can also remotely control relevant devices according to preset instructions. For example, when receiving a warning message, it can automatically activate the cameras and thermal imagers installed near the low-voltage line to photograph and monitor the abnormal area. The camera can photograph the actual situation at the scene, allowing the operation and maintenance personnel to intuitively understand whether there are personnel's illegal operations or equipment abnormalities; the thermal imager can detect the temperature distribution of the line and equipment, and timely discover the abnormal increase in temperature caused by faults, preventing the occurrence of electrical fires in advance. At the same time, the wireless temperature sensor continuously monitors the temperature of key parts of the line, and remotely displays the temperature data through the remote communication module. If the temperature rises abnormally, it will trigger an alarm linkage to notify the operation and maintenance personnel to handle it in time, avoiding line faults or fire accidents caused by excessive temperature.

[0037] In summary, this embodiment fully demonstrates the operation process of the early warning individual soldier system based on low-voltage lines. Each module collaborates closely. The detection signal injection module provides the system with the ability to actively detect the line status. The standing wave phase analysis module and the electromagnetic field gradient monitoring module collect information on the line and the surrounding environment from different dimensions, providing a strong basis for judging line anomalies. The data processing and decision-making module deeply analyzes and judges the collected data. By comparing the spatial matching degree and threshold, abnormal events are accurately identified. The remote communication module realizes the rapid transmission of information and remote control, ensuring that operation and maintenance personnel can obtain early warning information in a timely manner and take corresponding measures. This system can more accurately locate abnormal behavior events, timely discover potential safety hazards, greatly reduce the false alarm rate, and achieve comprehensive and multi-level integrated monitoring and early warning of low-voltage lines, providing comprehensive and reliable protection for the safe and stable operation of low-voltage lines.

[0038] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0039] The above-described embodiments merely represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. An early warning single soldier system based on low-voltage lines, characterized in that, Including: A detection signal injection module, a standing wave phase analysis module, an electromagnetic field gradient monitoring module, a data processing and decision-making module, and a remote communication module; The detection signal injection module is used to inject a detection signal into the low-voltage line; The standing wave phase analysis module is used to capture and analyze the standing wave phase mutation points generated by the detection signal on the low-voltage line to locate abnormal events and report the abnormal events; The electromagnetic field gradient monitoring module is used to monitor the change of the electromagnetic field gradient around the low-voltage line in real time and identify the disturbance characteristics of human body approach and metal object movement; The data processing and decision-making module is used to receive data from the standing wave phase analysis module and the electromagnetic field gradient monitoring module, perform position matching judgment through the spatial matching degree S, and judge whether the positions of the standing wave phase mutation point and the electromagnetic field gradient abnormal perturbation information match. When the positions match, it is determined that an abnormal behavior event exists, and a warning message is sent to the remote communication module. The spatial matching degree where Δφ is the position offset of the standing wave phase mutation point, ΔE is the position offset of the electromagnetic field gradient abnormal perturbation information, and σ φ is the standard deviation of the standing wave phase mutation point, and σ E is the standard deviation of the electromagnetic field gradient abnormal perturbation information; The remote communication module is used to remotely control the camera installed near the low-voltage line to view videos, remotely control the thermal imager installed near the low-voltage line to monitor the temperature distribution of the low-voltage line, and remotely control the wireless temperature sensors installed at key parts of the low-voltage line to monitor the temperature of key parts of the low-voltage line.

2. The early warning single soldier system based on low-voltage lines according to claim 1, characterized in that The standing wave phase analysis module includes a low-voltage line intelligent monitoring unit and a phase deviation calculation unit; The low-voltage line intelligent monitoring unit is used to measure the change of the standing wave phase on the low-voltage line, capture the phase change situation in real time, and determine the standing wave phase mutation points generated by the detection signal on the low-voltage line; The phase deviation calculation unit is used to calculate the position offset of the standing wave phase mutation point where φ i represents the phase value of the i-th sampling point, that is, the phase data obtained at the i-th sampling moment when the intelligent monitoring unit of the low-voltage line measures the standing wave phase of the low-voltage line. φ0 is the reference phase reference value, and N is the total number of sampling points, that is, the total number of phase data collected during the entire measurement process. By calculating the position offset of the standing wave phase mutation point relative to the reference phase, the operating state of the low-voltage line is analyzed and judged.

3. The early warning single soldier system based on low-voltage lines according to claim 1, characterized in that, The electromagnetic field gradient monitoring module is used to monitor the change of the electromagnetic field gradient around the low-voltage line in real time through a gradient sensor array, and identify the disturbance characteristics of human approach and metal object movement based on the data of the gradient sensors. When a human approaches and a metal object moves around the low-voltage line, it causes specific changes in the electromagnetic field gradient. By analyzing and processing the data collected by the gradient sensors, the disturbance characteristics related to human approach and metal object movement are identified, and the position offset of the electromagnetic field gradient abnormal disturbance information is calculated based on the disturbance characteristics. Among them, E j is the electromagnetic field intensity value of the j-th gradient sensor node, E0 is the reference electromagnetic field intensity value, and M is the total number of sensor nodes.

4. The early warning single-soldier system based on low-voltage lines according to claim 1, characterized in that The data processing and decision-making module is used to make a decision comparison based on the spatial matching score S and the threshold T, and make corresponding decisions according to the comparison results. The threshold where k is an adjustment coefficient, σ φ is the standard deviation of the standing wave phase mutation point, and σ E is the standard deviation of the abnormal disturbance information of the electromagnetic field gradient. When S ≤ T, it is determined that an abnormal event exists, and a warning message is sent to the remote communication module.

5. The early warning single-soldier system based on low-voltage lines according to claim 2, characterized in that, The low-voltage line intelligent monitoring unit in the standing wave phase analysis module has the function of reporting abnormal events, and the abnormal events include terminal power-on and power-off events, voltage over-limit and recovery events, voltage loss and recovery events, and current loss and recovery events.

6. The early warning single soldier system based on low-voltage lines according to claim 5, characterized in that, The low-voltage line intelligent monitoring unit is also used for: power supply, intelligent communication, three-phase voltage and current measurement. The power supply method of the low-voltage line intelligent monitoring unit for power supply is single-phase AC power supply, the rated voltage is AC220V, the deviation is ±20%, and it has a super capacitor backup power supply. When the main power supply fails, the backup power supply maintains the equipment. The intelligent communication method of the low-voltage line intelligent monitoring unit includes RS-485 and micro-power wireless communication. The rated AC voltage of the three-phase voltage measurement of the low-voltage line intelligent monitoring unit is 220V, the voltage measurement range satisfies 0.7Un≤U≤1.2Un, and the three-phase current measurement range satisfies 5A - 50A and 50A - 600A.

7. The early warning single soldier system based on low-voltage lines according to claim 1, characterized in that The detection signal injection module is used to inject a detection signal into the low-voltage line. When the detection signal is transmitted in the low-voltage line, it is manifested in the form of voltage and current. The voltage and current measured by the low-voltage line intelligent monitoring unit include the voltage and current changes caused by the detection signal. When the detection signal is injected, the voltage and current in the line are superimposed with the change components of the detection signal on the original basis and are reflected in the voltage and current data measured by the intelligent monitoring unit; When there is a local fault in the low-voltage line detected by the injected detection signal, the voltage and current at the fault point change abnormally during the transmission of the detection signal. The voltage and current data measured by the intelligent monitoring unit reflect the local fault, and the standing wave phase analysis module captures and analyzes the information of the standing wave phase mutation points generated by the fault point on the low-voltage line.

8. The early warning individual soldier system based on a low-voltage line according to claim 1, characterized in that, The remote communication module is specifically configured to, when receiving a warning message, respectively activate cameras, thermal imagers, and wireless temperature sensors installed at corresponding positions on the low-voltage line to view abnormal events according to the position information of the standing wave phase mutation points and the position information of the disturbance characteristics included in the warning message.

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