Method and system for detecting interference of electrified body on field signal of power terminal

Abstract

The invention discloses a method and a system for detecting the interference of an electrified body on a power terminal field signal, which overcome the problem that the interference degree of the electrified body on the power terminal field signal cannot be accurately detected in the prior art, and the method comprises the following steps: obtaining the geographical location information of a to-be-detected area, establishing an electronic map and marking the electrified body; testing points are arranged around the electrified body, position information of the testing points is recorded, and signal parameters of all operators are collected at the testing points; establishing a signal interference discrimination model based on a machine learning algorithm in combination with environmental parameters of the test points; and obtaining the interference degree of each test point and each operator signal by an electrified body, and displaying a signal interference thermodynamic diagram on a map in a color coding manner. The signal intensity of the public network near the electrified body can be accurately measured, the signal interference degree of different operators can be judged, the interference condition of the electrified body on the field signal of the power terminal near the electrified body can be obtained, and the reason for weakening of the field signal of the power terminal can be accurately judged.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless communication, and particularly relates to a detection method and system for live body interference with power terminal field signals. BACKGROUND

[0002] With the development of intelligent power distribution networks, the number of power terminals for information collection and remote control in power grids is rapidly increasing. These power terminals are basically connected to the provincial company platform through operator public network signals. The power terminals are basically installed near live bodies, such as transformers, power distribution cabinets, pole circuit breakers, ring network cabinets, and power towers. However, due to electromagnetic interference, multipath effects, and other factors, the public network signal strength and quality near the live bodies will significantly decrease, affecting the communication experience of users.

[0003] The power equipment has a large volume, and the alternating current in the high-voltage equipment has low-frequency radiation noise. Most of the power equipment is made of metal, which will have a certain shielding or interference effect on the operator signals of the power terminal installed near the power equipment, thereby affecting the real-time monitoring of the company on the distribution network equipment and related advanced applications.

[0004] The most common signal strength detection method is handheld instrument or mobile phone software detection. The detection method is to analyze the signal receiving power, signal-to-noise ratio, and other indicators at the location by connecting the operator base station through the SIM card in the instrument or mobile phone. However, this method cannot accurately distinguish whether the power terminal signal weakening is caused by live body interference or other factors, lacks an effective signal discrimination mechanism, and thus cannot take effective measures, affecting the power terminal signal transmission. SUMMARY

[0005] The present application aims to solve the problem in the prior art that the degree of live body interference with power terminal field signals cannot be accurately detected. The present application provides a detection method and system for live body interference with power terminal field signals, accurately measures the public network signal strength near the live body, and can distinguish the interference degree of signals of different operators, obtains the live body interference with the power terminal field signals near the live body, accurately judges the cause of the power terminal field signal weakening, provides an optimized communication solution for users, and provides data support for network optimization for operators.

[0006] To achieve the above-mentioned purpose, the present application adopts the following technical solutions: A detection method for live body interference with power terminal field signals, characterized in that it comprises the following steps: S1: Obtain the geographic position information of the area to be measured, establish an electronic map, and mark the live body; S2: Set test points around the live body and record the test point position information, and collect signal parameters of each operator at the test points; S3: Combine the environmental parameters of the test points to establish a signal interference discrimination model based on machine learning algorithms; S4: Obtain the degree of interference of each operator's signal with charged objects at each test point, and display the signal interference heat map on the map with color coding.

[0007] This invention sets up a test area centered on a charged object and establishes multiple test points within that area to acquire signal parameters. Utilizing GPS and map information, it accurately locates the charged object and environmental features, improving the accuracy of data analysis. A machine learning model is built to accurately distinguish between charged object interference and other interference sources, providing an assessment of interference levels. By generating a signal interference heatmap, the distribution of the charged object's impact on the signals of various operators at the power terminal site is visually displayed, facilitating rapid location of problem areas and providing intuitive guidance for on-site optimization. This invention overcomes the limitations of existing technologies in assessing public network signal quality in complex electromagnetic environments, providing an efficient and accurate methodology for optimizing wireless communication around power facilities.

[0008] Preferably, step S4 includes: using historical signal data from areas without interference from charged bodies as a benchmark, comparing and analyzing the signal change patterns in the test area, and identifying the on-site signal attenuation patterns of power terminals directly caused by charged bodies.

[0009] Preferably, the process of collecting signal parameters of each operator at the test point includes: scanning all frequency bands from 2G to 4G, recording the signal parameters of each operator in each frequency band, and simultaneously recording the GPS coordinates, timestamps, and environmental parameters of the test point.

[0010] It supports real-time monitoring of signals across all frequency bands from 2G to 6G, adapts to the future development trend of communication technology, and provides a unified solution for signal evaluation in environments where multiple generations of communication networks coexist.

[0011] Preferably, the signal interference discrimination model takes signal parameters and environmental parameters of the test point as input and outputs the percentage of interference from charged bodies to the signals of each operator at the power terminal site.

[0012] Preferably, the test points are evenly distributed around the charged body, and the test points cover all directions and distances where the signal is affected by the charged body.

[0013] As a preferred method, the location of the power terminal is determined, and the power terminal signal data is monitored in real time. Based on historical interference-free data, and combined with the degree of interference of the on-site signal from the energized body at that location and at that moment, it is determined whether there is other interference in the on-site signal of the power terminal.

[0014] It can accurately distinguish whether the weakening of the power terminal signal is caused by interference from charged objects or other factors.

[0015] Preferably, step S4 includes: establishing an early warning and evaluation function for the degree of interference of each operator's signal with energized bodies at the power terminal site, setting the interference level, and generating a detailed analysis report and the expected handling method based on the interference level.

[0016] Preferably, step S3 includes: calculating the interference value of environmental parameters on the signals of each operator at the test point based on the environmental parameters of the test point, and filtering out environmental interference factors in the signal interference discrimination model.

[0017] A detection system for interference of charged bodies on field signals of power terminals, comprising: The electronic map module acquires environmental parameters of the area to be tested, constructs a geographic map of the area, and marks test points and the locations of charged bodies. The signal acquisition module collects public network signals from various operators. The signal processor demodulates the signal and calculates the public network signal strength of each operator. The positioning and analysis module integrates GPS or BeiDou modules for positioning and identifies the impact of charged objects on public network signals. The control and decision-making module makes judgments based on the analysis results of the positioning and analysis module, and controls alarms or takes corresponding measures.

[0018] Preferably, the electronic map module marks the location and height of the charged body, as well as the vegetation and building distribution around the charged body. Based on the analysis results of the positioning and analysis module, it generates a heat map of the signal interference of the charged body and displays it in a time sequence.

[0019] Therefore, the present invention has the following beneficial effects: 1. By accurately measuring the signal strength of the public network near the energized body, the degree of interference with signals from different operators can be determined, enabling precise detection of signal strength at the power terminal site. This allows for accurate determination of the reasons for signal weakening at the power terminal site, providing users with optimized communication solutions and data support for network optimization for operators.

[0020] 2. The solution integrates high-precision signal measurement, environmental positioning marking, and intelligent interference discrimination, improving measurement efficiency and accuracy.

[0021] 3. By introducing machine learning models, the impact of natural environmental factors and interference from charged bodies on signal quality is effectively distinguished, thereby improving the reliability and accuracy of the detection results.

[0022] 4. It can comprehensively consider various environmental factors, such as topography, weather conditions and time changes, thus improving the robustness of signal measurement and analysis in complex electromagnetic environments. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating the steps of the method for detecting interference of charged bodies on power terminal field signals in this invention.

[0024] Figure 2 This is a schematic diagram of the architecture of the detection system for interference of charged bodies on power terminal field signals in this invention.

[0025] Figure 3 This is a test flowchart of the detection system for interference of charged bodies on power terminal field signals in this invention.

[0026] In the diagram: 1. Electronic map module; 2. Signal acquisition module; 3. Signal processor; 4. Positioning and analysis module; 5. Control and decision-making module; 6. Remote data transmission module; 7. Central server; 8. Memory. Detailed Implementation

[0027] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments: Example 1: In this embodiment, the power terminal takes the power facility information collection terminal as an example. The power facility information collection terminal is often installed at a high place, inside a distribution box, or attached to an iron crossarm. Nearby live equipment, metal materials, and the casing can interfere with the signal. The low-frequency radiation generated by high-voltage AC power can also affect signal reception. Handheld signal testing cannot accurately detect the signal situation at the actual installation location of the terminal.

[0028] This embodiment provides a method for detecting interference from charged bodies to on-site signals at power terminals, such as... Figure 1 As shown, the operation process is as follows: Step 1, obtain the geographical location information of the area to be tested, establish an electronic map and mark the charged body; Step 2, set up test points around the charged body and record the location information of the test points, and collect the signal parameters of each operator at the test points; Step 3, combine the environmental parameters of the test points and establish a signal interference discrimination model based on machine learning algorithms; Step 4, obtain the degree of interference of each operator's signal by the charged body at each test point, and display the signal interference heat map on the map with color coding.

[0029] A test area is set up centered on the charged object, and multiple test points are established within this area to acquire signal parameters. GPS and map information are used to accurately locate the charged object and environmental features, improving the accuracy of data analysis. A machine learning model is built to accurately distinguish between charged object interference and other interference sources, providing an assessment of the interference level. A signal interference heatmap is generated, visually displaying the distribution of the charged object's impact on the signals of various operators at the power terminal site, facilitating rapid location of problem areas and providing intuitive guidance for on-site optimization. The method eliminates the need for separate calculations of electromagnetic interference and multipath effects from the charged object, simplifying the calculation process and improving detection efficiency. It overcomes the limitations of existing technologies in assessing public network signal quality in complex electromagnetic environments, providing an efficient and accurate methodology for optimizing wireless communication around power facilities.

[0030] The following specific examples further illustrate the technical solution and effects of the present invention. The examples below are explanations of the present invention, but the present invention is not limited to the following examples.

[0031] Step 1: Obtain the geographical location information of the area to be tested, create an electronic map, and mark the charged bodies.

[0032] The test area is established with the charged body as the center and a radius range is set.

[0033] The geographical environment of the area to be measured is obtained, including the distribution of vegetation and buildings, the height of vegetation and buildings, and the height of charged bodies, and a three-dimensional electronic map of the area to be measured is constructed.

[0034] Step 2: Set up test points around the charged body and record the location information of the test points. Collect signal parameters of each operator at the test points.

[0035] In this embodiment, the test points are evenly distributed around the charged body, and the test points cover all directions and distances where the signal is affected by the charged body. That is, the test points are distributed in a three-dimensional space centered on the charged body.

[0036] Record the location of the test points and mark them on the electronic map. Collect signal parameters of each operator at the test points and at the charged body, such as the signal parameters collected by China Unicom, China Mobile or China Telecom networks at the test points, including signal strength RSSI, signal-to-noise ratio SINR, etc.

[0037] The collected signal parameters include, but are not limited to, the 2G to 6G frequency bands of mobile communication networks, enabling the acquisition of full-band signal parameters.

[0038] Step 3: Combine the environmental parameters of the test points and establish a signal interference discrimination model based on machine learning algorithms.

[0039] Temperature's impact on signal transmission is primarily manifested in its effect on radio wave propagation. Generally, lower temperatures result in longer communication distances; conversely, higher temperatures lead to lower transmission power and reduced receiver sensitivity, thus decreasing communication distance. This is because temperature affects the propagation speed and signal quality of radio waves, consequently affecting the transmission distance and strength of the signal. Humidity primarily affects signal strength in rainy or humid environments. Radio waves are more easily absorbed in high humidity, leading to weaker signal strength. This is especially true in rainy weather, where high humidity increases the absorption of higher frequencies, further weakening the signal. This not only affects WiFi signals but also other wireless communication methods such as cell phone signals. Furthermore, severe weather such as heavy rain and typhoons can cause network cable interfaces to become damp, affecting signal transmission quality and potentially leading to broadband network outages. Experimental data shows that at a frequency of 0.5 MHz, radio interference increases with increasing temperature and decreases with increasing humidity. Specifically, for every 1°C increase in temperature, radio interference increases by 0.029 dB; for every 1% increase in relative humidity, radio interference decreases by 0.06 dB. The environment within the test area is not fixed, so environmental parameters need to be collected during testing in order to filter out the interference of environmental parameters on the signal and obtain accurate information on the interference of charged bodies.

[0040] Collect environmental data (such as temperature and humidity data) of the area to be measured and establish a correspondence with the signal parameters collected at that time. Based on the collected environmental data, calculate the interference value of environmental factors on the signal at that time.

[0041] Then, using the signal parameters and environmental parameters collected at the test point, a signal interference discrimination model is established to obtain the interference of charged bodies on the field signals of the power terminal.

[0042] Machine learning algorithms build models by identifying patterns in data. These models can be used for various tasks such as prediction, classification, clustering, and regression. The signal interference discrimination model takes as input the signal parameters, environmental parameters, and historical interference-free signal parameters of the test point. The output is the percentage of interference from energized bodies affecting each operator's signal at the power terminal site, and the numerical value of such interference. Based on the environmental parameters of the test point, the interference value of environmental parameters on each operator's signal at the test point is calculated, and environmental interference factors are filtered out in the signal interference discrimination model.

[0043] By applying a pre-trained machine learning model and using the signal parameters of historical interference-free areas as a benchmark, the signal change patterns in the test area are compared and analyzed to identify the signal attenuation patterns directly caused by charged bodies.

[0044] For example, if the signal parameter of a certain operator collected at the test point is A, the environmental interference value is B, and the signal parameter of the historical interference-free area is C, then the percentage of interference of each operator's signal on the power terminal site due to the live conductor = (C - (A + B)) / C.

[0045] In other embodiments, when acquiring the information parameters of each operator at the test point, the environmental parameters of the data can be recorded. Subsequently, when comparing with historical interference-free data, historical interference-free data with the same environmental parameters as the test point can be selected for comparison to remove the influence of environmental parameters on the signal.

[0046] In this case, the signal interference discrimination model has a database that stores historical interference-free data. The input of the signal interference discrimination model is the signal parameters and environmental parameters of the test point. Then, the signal interference discrimination model searches for the corresponding historical interference-free data D in the database according to the input environmental parameters. After finding it, it compares it with the signal parameters E of the test point to obtain the percentage F of interference of each operator's signal on the power terminal site: F = (DE) / D.

[0047] At this point, the environmental interference that needs to be filtered out is achieved by deleting signal parameters collected under extreme environmental conditions (such as strong winds, thunderstorms, etc.).

[0048] In other embodiments, the location of the power terminal can be determined, and its signal data can be monitored in real time. Based on historical interference-free data (at normal temperature and pressure, without any charged bodies), combined with the degree of interference from charged bodies at that location and time, it can be determined whether there is other interference in the power terminal's on-site signal. This addresses the problem that traditional signal measurement methods often cannot accurately distinguish whether signal weakening is caused by interference from charged bodies or other factors, and lack an effective signal discrimination mechanism.

[0049] Step 4: Obtain the degree of interference of each operator's signal with charged objects at each test point, and display the signal interference heat map on the map with color coding.

[0050] Based on historical signal data from interference-free areas, the signal variation patterns in the test area are compared and analyzed to identify the signal attenuation patterns at the power terminal directly caused by charged bodies.

[0051] Regarding heat maps: Taking a specific direction of a charged conductor as an example, multiple test points are spaced apart within the influence range of the charged conductor in that direction. After steps one through three described above, the interference values ​​of the charged conductor at all test points in that direction on the on-site power terminal signal are obtained. Based on the interference values, heat maps are created in that direction, with colors indicating the degree of interference; the higher the interference value, the darker the color. This process is applied to all directions of influence of the charged conductor to obtain the heat map.

[0052] On the obtained heat map, locations with abnormal interference values ​​of charged bodies and locations with interference values ​​exceeding the preset standard are marked, indicating that the test is inaccurate and the test should be repeated. If the value is still the same, an alarm is triggered, indicating that the signal interference of the charged body at that location is too large and it is not suitable to install a power facility information collection terminal for power data collection. Measures need to be taken.

[0053] On the other hand, in actual use, the heat map not only shows the interference values ​​of charged bodies, but also the signal parameters obtained by the test point at that location. After the power facility information collection terminal is installed, the signal of the power facility information collection terminal is detected and recorded in real time and compared with the signal parameters obtained by the test point on the heat map. If the difference between the two exceeds the threshold, it indicates that in addition to the interference of charged bodies, there are other factors interfering with the signal of the power facility information collection terminal (such as weather changes), and an alarm is triggered to remind the staff to pay close attention to the power facility information collection terminal.

[0054] This embodiment provides a method for detecting interference of charged bodies to power terminal signals, which has the following characteristics: 1. Integrated measurement technology: Combined with a high-sensitivity handheld signal analyzer, it enables precise measurement of signals across the entire frequency band.

[0055] 2. Precise positioning and environmental matching: By using GPS and map information, the charged body and environmental features are accurately located, improving the accuracy of data analysis.

[0056] 3. Intelligent signal evaluation model: The model is built through machine learning to accurately distinguish between charged body interference and other interference sources, and to provide an evaluation of the degree of interference.

[0057] 4. Implementation Example: This section details the signal detection process around high-voltage power line towers, showcasing the entire process from on-site preparation to data analysis, interference heatmap generation, and optimization suggestions.

[0058] 5. Expected Outcomes: Effectively identify interference from charged objects, guide network optimization, improve user experience, and promote the upgrading of communication service quality.

[0059] 6. Innovative Highlights: Including an integrated measurement and discrimination system, machine learning-assisted analysis, real-time monitoring across the entire frequency band, environmentally adaptable algorithms, a visualized interference map, and an automatic optimization suggestion generation system, comprehensively revolutionizing the solution to the problem of interference with charged bodies.

[0060] Example 2: Power equipment is large in size, and the AC power in high-voltage equipment has low-frequency radiated noise. Since it is mostly made of metal, it can have a certain shielding or interference effect on the operator's signal installed in the vicinity, thereby affecting the company's real-time monitoring of distribution network equipment and related advanced applications.

[0061] The installation location of power equipment signal acquisition terminals is often at high altitudes, inside distribution boxes, or attached to iron crossarms. Nearby live equipment, metal materials, and casings can interfere with the signal. Low-frequency radiation generated by high-voltage AC power can also affect signal reception. Handheld signal testing cannot accurately detect the signal situation at the actual installation location of the terminal.

[0062] To address the above problems, this embodiment provides a detection system for interference of charged bodies on field signals of power terminals, such as... Figure 2 As shown, it includes: Electronic map module 1 acquires environmental parameters of the test area, constructs a geographic map of the test area, and marks the test points and the location of the charged body, as well as the specific location of the charged body and its surrounding environmental features. The electronic map module also marks the location and height of the charged body, along with the vegetation and building distribution around it. Based on the analysis results from the positioning and analysis module, it generates a heat map of signal interference from the charged body and displays it in a time-series format.

[0063] Signal acquisition module 2, including an antenna and a front-end filter amplifier, is used to continuously or periodically acquire public network signals from various operators at each test point. If a high-sensitivity, wide-band handheld signal analyzer is used, it can perform antenna feeder testing, VSWR, return loss, and phase testing, adapting to the full-band signal measurement needs from 2G to 6G.

[0064] Signal processor 3 performs signal demodulation and calculates the public network signal strength of each operator based on the collected data.

[0065] The positioning and analysis module 4 integrates GPS or BeiDou modules. Utilizing positioning technology and combined with map information, it marks the specific location of charged objects and their surrounding environmental characteristics, identifying the impact of charged objects on public network signals. Simultaneously, it measures and records key indicators such as RSSI (Received Signal Strength Indicator) and SINR (Signal-to-Noise Ratio) of signals from various operators in real time, and filters out the influence of environmental interference factors through algorithms.

[0066] The positioning and analysis module includes a signal interference discrimination model, which outputs an assessment of the degree of interference of each operator's signal with charged objects based on the input measured signal data and environmental parameters.

[0067] The control and decision module 5 makes judgments based on the analysis results of the positioning and analysis module, and controls alarms or takes corresponding measures.

[0068] The remote data transmission module 6 records all detection data and uploads it to the central server 7.

[0069] Memory 8 stores electronic maps, all detection data and analysis results, and records the number of alarms and the measures taken.

[0070] The signal acquisition module collects signals from the same detection point for multiple consecutive days, discarding data with large fluctuations. The test procedure for the detection system of interference of charged objects to power terminal field signals is as follows: Figure 3 As shown, it includes: 1. Initialization: Start the detection system, calibrate the sensor, and set the threshold.

[0071] 2. Signal scanning: Continuously or periodically scans public network signals in a specified frequency band.

[0072] 3. Signal strength measurement: For each detected signal source, measure its signal strength (RSSI).

[0073] 4. Location determination: Combine the locations of multiple antennas or known base stations to estimate the relative position of the charged object and the public network signal source.

[0074] 5. Impact assessment of charged objects: Analyze the changes in signal strength before and after the presence of a charged object to determine whether there is interference or attenuation.

[0075] 6. Detection and Recording: Real-time signals are dynamically recorded. When an abnormality is detected or the preset standard is exceeded, an alarm is triggered and the data is recorded.

[0076] 7. Cyclic monitoring: Return to step 2 and continue monitoring.

[0077] This embodiment also provides a detection example, which implements a detection system for interference of charged objects on power terminal field signals in a specific application scenario.

[0078] Taking the area around a high-voltage power line tower (a energized body) as an example, the technical solution of this embodiment is implemented as follows: Step 1: On-site preparation.

[0079] First, operators carry signal detection equipment to the designated test points. This equipment includes a built-in signal receiving module, signal processor, and GPS positioning. These test points are evenly distributed around the high-voltage power line towers to ensure coverage of all potentially affected directions and distances.

[0080] Step 2: Data collection.

[0081] Turn on the signal detection device and set it to automatically scan all frequency bands from 2G to 6G. The signal receiving module records the RSSI and SINR values ​​of each operator in each frequency band. The GPS positioning simultaneously records the GPS coordinates, timestamps, and environmental parameters (such as temperature and humidity). Data is continuously collected for 3 minutes to obtain a sufficient sample size.

[0082] Step 3: Environmental feature labeling.

[0083] The location information of each test point was recorded using GPS positioning of the signal detection equipment, and the location, height, surrounding vegetation and building distribution of the high-voltage power line towers were marked on an electronic map for reference in subsequent analysis.

[0084] Step 4: Data Analysis.

[0085] The data collected by the signal detection device is imported into the positioning and analysis module. The positioning and analysis module uses a pre-trained machine learning model to compare and analyze the signal change patterns in the test area based on the signal data of historical interference-free areas, and identifies the signal attenuation patterns directly caused by charged objects.

[0086] Step 5: Identification and Reporting.

[0087] The positioning and analysis module outputs the degree of interference from charged objects to the signals of each operator at each test point, visually displaying a signal interference heatmap on a map using color coding. The control and decision-making module generates a detailed analysis report based on the detection results from the positioning and analysis module, indicating which areas are severely affected by signal interference and suggesting improvement measures, such as adding micro base stations or adjusting the orientation of existing base station antennas.

[0088] The detection system for interference of charged bodies on power terminal signals provided in this embodiment has the following advantages: 1. Integrated Measurement and Discrimination System: This solution integrates high-precision signal measurement, environmental positioning marking, and intelligent interference discrimination, improving measurement efficiency and accuracy.

[0089] 2. Machine learning-assisted analysis: The introduction of machine learning models effectively distinguishes the impact of natural environmental factors and interference from charged bodies on signal quality, thereby improving the reliability and accuracy of the discrimination results.

[0090] 3. Comprehensive frequency band coverage and real-time analysis capabilities: Supports real-time monitoring of signals across all frequency bands from 2G to 6G, adapting to future communication technology development trends and providing a unified solution for signal evaluation in environments where multiple generations of communication networks coexist.

[0091] 4. Environmentally Adaptable Signal Evaluation Algorithm: The developed algorithm can comprehensively consider various environmental factors, such as topography, weather conditions and time changes, improving the robustness of signal measurement and analysis in complex electromagnetic environments.

[0092] 5. Intuitive and visual interference heatmap: By generating a signal interference heatmap, the distribution of the impact of charged objects on the signals of various operators is displayed intuitively, which facilitates the rapid location of problem areas and provides intuitive guidance for on-site optimization work.

[0093] 6. Optimization suggestion generation system: It not only diagnoses problems, but also automatically generates optimization suggestions based on the analysis results, such as base station layout adjustment and power configuration optimization, providing operators with a one-stop service from problem identification to solution, and accelerating the implementation process of network optimization.

[0094] Example 3: This embodiment also provides a detection device for interference of charged bodies on power terminal field signals, including a data acquisition module, a bus, at least one memory, at least one processor, a bus interface, and a user interface. The memory stores one or more programs, which can be executed by one or more processors to perform the following steps: (1) Obtain the geographical location information of the area to be tested, establish an electronic map and mark the charged bodies; (2) Set up test points around the charged body and record the location information of the test points, and collect signal parameters at the test points; (3) Based on machine learning algorithms, a signal interference discrimination model is established by combining the environmental parameters of the test points; (4) Obtain the degree of interference of the signal at each test point with charged body, and display the signal interference heat map on the map with color coding.

[0095] Specifically: The acquisition module collects signal parameters and environmental parameters, and sends the collected data to the memory and processor.

[0096] The memory includes a program storage area and a data storage area. The program storage area stores the operating system and applications required for at least one function (such as sound playback to display detection results and image display to visualize the detection results). The data storage area stores data generated based on the use of the detection equipment (such as detection reports, alarm information, and planned actions). The memory may include non-volatile memory (such as one or more magnetic storage devices, hard disks, RAM, flash memory, and plug-in hard disks), and may also include high-speed random access memory, smart storage, and secure digital cards. In some instances, the memory may further include memory remotely configured relative to the processor, which can be connected to the terminal via a network.

[0097] The processor is the control center of the detection equipment. It connects various parts of the detection equipment through various interfaces and lines. By running or executing software programs and / or modules stored in memory, and by calling data stored in memory, it performs various functions of the detection equipment and processes data. In some embodiments, the processor may integrate an application processor and a modem processor. The application processor mainly handles the operating system, user interface, and applications, while the modem processor mainly handles wireless communication.

[0098] The processor can be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, field-programmable arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0099] If the integrated module / unit of the detection equipment for interference of charged bodies to on-site power terminal signals is implemented as a software unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0100] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0101] Example 4: like Figure 1 As shown in the figure, this embodiment provides a method for detecting interference of charged bodies to power terminal field signals, which mainly includes the following steps: Step 1: Obtain the geographical location information of the area to be tested, create an electronic map, and mark the charged bodies.

[0102] Step 2: Set up test points around the charged body and record the location information of the test points, and collect signal parameters at the test points.

[0103] Step 3: Combine the environmental parameters of the test points and establish a signal interference discrimination model based on machine learning algorithms.

[0104] Step 4: Obtain the degree of interference of the signal at each test point with charged objects, and display the signal interference heat map on the map with color coding.

[0105] Step 5: If the test is completed or manually terminated, perform cyclic monitoring and return to Step 2; otherwise, the test ends.

[0106] In the above steps, step one mainly includes basic steps such as GPS positioning and environmental data collection.

[0107] The collected environmental data includes vegetation cover, vegetation height, building distribution, and building height.

[0108] In step two, when collecting signal parameters at the test point, in order to prevent interference from other factors, the same test point is collected for several consecutive days. Abnormal data is removed, and the remaining data are averaged and arranged in chronological order.

[0109] When radio waves encounter obstacles such as uneven terrain, buildings of varying heights, or tall trees along their propagation path, a shadow area with weaker radio signal strength is formed behind the obstacle. This phenomenon is called the shadowing effect, which leads to a significant reduction in the median strength of the received radio signal. The degree of the shadowing effect is related to the type of terrain and the wireless environment; densely populated urban areas experience a greater shadowing effect than ordinary urban areas, rural areas, or suburbs. When planning networks, it is necessary to fully consider the impact of the shadowing effect on coverage performance in different wireless environments. Vegetation and building obstructions can also cause signal attenuation.

[0110] Therefore, in step three, environmental interference factors need to be filtered out in the signal interference discrimination model.

[0111] In this embodiment, a comparison point is set up outside the influence range of the charged object in the area to be tested. Signal parameters M from each operator are collected at the test point, while signal parameters N from each operator are collected at the comparison point. Then, based on an electronic map, the geographical parameters (vegetation cover or building obstruction) between the test point and the comparison point, and the distance between them are obtained. The signal attenuation value X caused by environmental factors is then calculated. At this point, the signal interference value S of the charged object at the test point is: S = NMX.

[0112] In step four, an early warning and assessment function for the interference level of each operator's signal on the power terminal site with energized bodies is established, the interference level is set, and a detailed analysis report and the expected handling method are generated based on the interference level.

[0113] For example, based on the percentage of signal interference obtained from the signal interference discrimination model, four levels are set: no interference, slight interference, moderate interference, and severe interference. The corresponding interference level is selected according to the obtained percentage, and different processing methods are set for each interference level.

[0114] This embodiment provides a method for detecting signal interference from charged objects to power terminals, which overcomes the limitations of existing technologies in assessing public network signal quality in complex electromagnetic environments. By combining dedicated signal measurement equipment with algorithm analysis, it achieves accurate measurement of public network signal strength near charged objects and can determine the degree of interference to signals from different operators, providing users with optimized communication solutions and providing data support for network optimization for operators.

[0115] This embodiment relates to the field of wireless communication technology, specifically a method for accurately measuring and effectively identifying the strength of public network signals (including but not limited to 2G to 6G frequency bands of mobile communication networks) near energized objects (such as high-voltage power lines, substations, etc.). It aims to solve the problem of severe interference with public network signals, especially around power facilities, making it difficult to accurately assess the signal quality of various operators.

[0116] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any way. Other variations and modifications are possible without departing from the technical solutions described in the claims.

Claims

1. A method for detecting interference of charged bodies on field signals of power terminals, characterized in that, include: S1: Obtain the geographical location information of the area to be tested, create an electronic map and mark charged bodies; S2: Set up test points around the charged body and record the test point location information, and collect signal parameters at the test points; S3: Combine environmental parameters at the test points and establish a signal interference discrimination model based on machine learning algorithms; S4: Obtain the degree of interference of the signal at each test point with charged bodies, and display the signal interference heat map on the map with color coding.

2. The method for detecting interference of charged bodies on power terminal field signals according to claim 1, characterized in that, Step S4 includes: using historical signal data from interference-free areas as a benchmark, comparing and analyzing the signal change patterns in the test area, and identifying the on-site signal attenuation patterns of power terminals directly caused by charged bodies.

3. A method for detecting interference of a charged body on a power terminal signal as described in claim 1 or 2, characterized in that, The process of collecting signal parameters at the test point includes: scanning all frequency bands from 2G to 4G, recording the signal parameters of each operator in each frequency band, and simultaneously recording the GPS coordinates, timestamps, and environmental parameters of the test point.

4. A method for detecting interference of a charged body on a power terminal's on-site signal according to claim 1 or 2, characterized in that, The signal interference discrimination model takes signal parameters and environmental parameters at the test point as input and outputs the percentage of interference from charged bodies to the signals of each operator at the power terminal site.

5. A method for detecting interference of a charged body to a power terminal signal as described in claim 1 or 2, characterized in that, The test points are evenly distributed around the charged body, covering all directions and distances where the signal is affected by the charged body.

6. The method for detecting interference of a charged body to a power terminal signal as described in claim 1, characterized in that, The location of the power terminal is determined, and the power terminal signal data is monitored in real time. Based on historical interference-free data, combined with the degree of interference of the on-site signal with the energized body at that location and at that time, it is determined whether there is other interference in the on-site signal of the power terminal.

7. A method for detecting interference of a charged body on a power terminal signal as described in claim 1, 2, or 6, characterized in that, Step S4 includes: establishing an early warning and assessment function for the degree of interference of each operator's signal with charged objects at the power terminal site, setting the interference level, and generating a detailed analysis report and the expected handling method based on the interference level.

8. The method for detecting interference of a charged body to a power terminal signal as described in claim 5, characterized in that, Step S3 includes: calculating the interference value of environmental parameters on the signals of each operator at the test point based on the environmental parameters of the test point, and filtering out environmental interference factors in the signal interference discrimination model.

9. A method for detecting interference of a charged object to a power terminal signal, comprising the method for detecting interference of a charged object to a power terminal signal as described in any one of claims 1-8, characterized in that, include: The electronic map module acquires environmental parameters of the area to be tested, constructs a geographic map of the area, and marks test points and the locations of charged bodies. The signal acquisition module collects public network signals from various operators. The signal processor demodulates the signal and calculates the public network signal strength of each operator. The positioning and analysis module integrates GPS or BeiDou modules for positioning and identifies the impact of charged objects on public network signals. The control and decision-making module makes judgments based on the analysis results of the positioning and analysis module, and controls alarms or takes corresponding measures.

10. A detection system for interference of charged bodies on field signals of power terminals according to claim 9, characterized in that, The electronic map module marks the location and height of the charged body, as well as the vegetation and building distribution around it. Based on the analysis results of the positioning and analysis module, it generates a heat map of signal interference from the charged body and displays it in a time sequence.

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