Intelligent grounding resistance reducing method and device based on multi-source meteorological monitoring and early warning

Abstract

The invention relates to the technical field of grounding resistance, in particular to a grounding resistance intelligent reduction method and device based on multi-source meteorological monitoring early warning, and the device comprises a lightning protection and resistance reduction module which comprises a lightning protection grounding grid for guiding lightning current to be connected to the ground and a resistance reduction mechanism for reducing the grounding resistance of each position of the lightning protection grounding grid; the data acquisition module is used for acquiring meteorological radar echo data, lightning positioning data, conventional meteorological element data and soil data and determining underlying surface resistivity of each position of the lightning protection earth screen; the data analysis module is used for judging whether the starting condition of the resistance reducing mechanism is met or not and determining the working mode of the resistance reducing mechanism; and the resistance reduction control module is used for controlling the starting, stopping and working modes of the resistance reduction mechanism. The system can adapt to different soil environments and intelligently reduce the grounding resistance according to meteorological monitoring data.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of grounding resistance, in particular to a grounding resistance intelligent reduction method and device based on multi-source meteorological monitoring and early warning. BACKGROUND

[0002] Large power equipment, communication base stations and the like need reliable grounding to ensure safety during operation. Excessively high ground resistivity can cause damage to equipment due to overvoltage and overcurrent when subjected to lightning strikes or malfunctions. By reducing ground resistance, these critical equipment can be protected from damage, extending the service life of the equipment and reducing safety accidents and secondary disasters caused by equipment failure. Developing an intelligent method and device to reduce ground resistivity can effectively ensure the stable operation of electronic equipment, enhance communication quality, achieve efficient electromagnetic compatibility, and improve the safety of electronic device systems.

[0003] Currently, although the method and device for reducing ground resistivity have developed to some extent, there are still some deficiencies. Different types of soil, such as sand, clay and loam, have very different physical and chemical properties, which pose different requirements on the method and device for reducing ground resistivity. Existing lightning protection resistance reduction devices mainly rely on simple grounding grids and grounding electrode structures, but in loose coal gangue geological conditions, the grounding resistance is difficult to effectively reduce. This high grounding resistance not only reduces the lightning protection effect, but also can cause overvoltage damage to equipment during lightning strikes, increasing the instability of the system. In addition, the traditional grounding system lacks intelligent monitoring and dynamic adjustment capabilities, and cannot respond to changes in the environment and equipment status in real time, resulting in low maintenance efficiency and lagging fault response.

[0004] Traditional monitoring methods rely on manual inspection and regular maintenance, which not only consumes a lot of manpower and resources, but also has monitoring blind spots, making it difficult to discover and handle potential safety hazards in a timely manner. In addition, existing technologies usually use static configuration and lack the ability to dynamically adjust according to real-time data. This fixed system design is difficult to cope with complex and changing environmental conditions, and cannot guarantee the best performance of the grounding system under different weather conditions. At the same time, the traditional system lacks comprehensive analysis and prediction capabilities for ground resistance and environmental parameters, and cannot achieve intelligent prevention and response. Therefore, there is an urgent need for a device and method that can adapt to different types of soil and intelligently reduce ground resistance based on meteorological monitoring data. SUMMARY

[0005] To this end, the present application provides a grounding resistance intelligent reduction method and device based on multi-source meteorological monitoring and early warning to overcome the problem that the prior art cannot adapt to different types of soil and cannot intelligently reduce ground resistance based on meteorological monitoring data.

[0006] To achieve the above object, in one aspect, the application provides a grounding resistance intelligent reduction device based on multi-source meteorological monitoring and early warning, comprising: A lightning protection resistance reduction module, which comprises a lightning protection ground grid for guiding lightning current to access the ground and a resistance reduction mechanism for reducing the grounding resistance of each position in a target area, wherein the lightning protection ground grid is composed of a plurality of horizontal grounding electrodes and a plurality of vertical grounding electrodes, the vertical grounding electrodes are arranged at the intersection of each horizontal grounding electrode, the layout of the lightning protection ground grid is determined based on the terrain of the target area and the resistivity of the underlying surface of each position in the target area, and includes the position and number of horizontal grounding electrodes; A data acquisition module, which is used to acquire meteorological radar echo data, lightning positioning data, conventional meteorological element data and soil data, and determine the resistivity of the underlying surface of each position of the lightning protection ground grid; A data analysis module, which is connected with the data acquisition module, is used to determine whether the start condition of the resistance reduction mechanism is met based on the resistivity of the underlying surface of each position of the lightning protection ground grid, the lightning positioning data and the conventional meteorological element data, and determine the working mode of the resistance reduction mechanism based on the resistivity of the underlying surface of each position of the lightning protection ground grid, the soil data and the meteorological radar echo data, wherein the working mode of the resistance reduction mechanism includes water injection mode and resistance reduction liquid supplement mode; A resistance reduction control module, which is connected with the data analysis module and the lightning protection resistance reduction module respectively, is used to control the start and stop of the resistance reduction mechanism and the working mode based on the analysis result of the data analysis module.

[0007] Further, the resistance reduction mechanism comprises a plurality of first resistance reduction units for water injection and soil moistening of each position of the lightning protection ground grid, and a plurality of second resistance reduction units for resistance reduction liquid supplement of each position of the lightning protection ground grid.

[0008] Further, the data analysis module comprises: A start determination unit, which is connected with the data acquisition module, is used to determine the resistivity abnormal area based on the resistivity of the underlying surface of each position of the lightning protection ground grid, determine the lightning movement characteristic value based on the lightning positioning data, determine the current meteorological characteristic value based on the conventional meteorological element data, and determine whether the start condition of the resistance reduction mechanism is met based on the resistivity abnormal area, the lightning movement characteristic value and the current meteorological characteristic value; A working mode determination unit, which is connected with the data acquisition module, is used to determine the meteorological perception characteristic based on the meteorological radar echo data, determine the soil quality characteristic based on the resistivity of the underlying surface of each position of the lightning protection ground grid and the soil data, and determine the working mode of the resistance reduction mechanism based on the meteorological perception characteristic and the soil quality characteristic.

[0009] Furthermore, the activation determination unit constructs a resistivity distribution map based on the resistivity of the underlying surface at each location of the lightning protection grounding network, and determines the resistivity anomaly area based on the resistivity distribution map.

[0010] Furthermore, the activation determination unit determines the lightning generation probability based on the lightning location data collected within a preset time period, and determines the lightning movement characteristic value based on the lightning generation probability, wherein the lightning location data includes the lightning movement path direction and the lightning movement speed.

[0011] Furthermore, the activation determination unit determines the current meteorological characteristic value based on the comparison results of conventional meteorological element data within a preset time period and conventional meteorological element data collected at the current time. The conventional meteorological element data includes temperature data, humidity data, air pressure data, and wind speed data.

[0012] Furthermore, the working mode determination unit constructs a meteorological early warning model based on the meteorological radar echo data, and determines meteorological perception characteristics based on the meteorological early warning model. The meteorological radar echo data includes reflectivity factor, echo top height, echo intensity, and echo morphology.

[0013] Furthermore, the working mode determination unit determines a comprehensive soil quality index based on the resistivity of the underlying surface at each location of the lightning protection grounding network and the soil data, and determines soil characteristics based on the comprehensive soil quality index, wherein the soil data includes soil type, soil moisture and soil porosity.

[0014] Furthermore, the data analysis module also includes: The parameter determination unit, which is connected to the data acquisition module, is used to determine the water injection parameters for the first drag reduction unit to inject water for soil wetting or the replenishment amount for the second drag reduction unit to replenish drag reduction fluid based on the meteorological sensing characteristics and the soil characteristics. The water injection parameters include water injection time and water injection flow rate.

[0015] On the other hand, the present invention also provides a method for intelligently reducing grounding resistance, comprising: Step S1: Collect meteorological radar echo data, lightning location data, conventional meteorological element data, and soil data; Step S2: Determine the resistivity of the underlying surface at each location of the lightning protection grounding network based on the soil data; Step S3: Determine whether the activation conditions of the resistance reduction mechanism are met based on the resistivity of the underlying surface, lightning location data, and conventional meteorological data at each location within the lightning protection grounding network. Step S4, if it is consistent, the working mode of the resistance reduction mechanism is determined based on the resistivity of the underlying surface of each position of the lightning protection ground net, soil data and meteorological radar echo data, wherein the working mode of the resistance reduction mechanism includes water injection mode and resistance reduction liquid supplement mode.

[0016] Compared with the prior art, the vertical grounding electrode of the lightning protection ground net of the application is arranged at the intersection of each horizontal grounding electrode, which can provide good electrical connection and current dispersion path. The position and number of horizontal grounding electrodes are determined based on the terrain and underlying surface resistivity of the target area, which can make the grounding system better adapt to different geological conditions, ensure that the grounding resistance meets the requirements, effectively disperse lightning current, and improve the reliability and stability of the device. The data acquisition module can collect meteorological radar echo data, conventional meteorological element data and soil data, and determine the underlying surface resistivity of each position of the lightning protection ground net, ensuring that the obtained data is timely and can timely reflect the current environmental and geological condition changes, providing basis for timely adjusting lightning protection strategy and resistance reduction measures. The data analysis module determines the starting condition of the resistance reduction mechanism based on the underlying surface resistivity of each position of the lightning protection ground net, lightning location data and conventional meteorological element data, which can start the resistance reduction mechanism in advance before the grounding resistance may increase due to environmental changes and affect the lightning protection effect, ensuring that the lightning protection ground net is always in good working condition, effectively reducing the grounding resistance and improving the lightning protection safety. According to the underlying surface resistivity, soil data and meteorological radar echo data, the working mode of the resistance reduction mechanism is determined, which makes the resistance reduction measures more accurate and effective, improves the resistance reduction efficiency and saves resources. The resistance reduction control module controls the start and stop of the resistance reduction mechanism and the working mode according to the results of the data analysis module, realizing the automation and intelligentization of the resistance reduction process, which can accurately start the corresponding resistance reduction measures when resistance reduction is needed, and select the appropriate working mode, avoiding the timeliness and blindness of manual intervention, improving the efficiency and accuracy of resistance reduction work.

[0017] Further, the resistance reduction mechanism of the application is provided with a plurality of first resistance reduction units for water injection and soil moistening at each position of the lightning protection ground net, which can effectively improve the soil humidity, thereby reducing the grounding resistance at low cost. A plurality of second resistance reduction units are provided for resistance reduction liquid supplement at each position of the lightning protection ground net, which can adapt to different geological conditions and effectively reduce the grounding resistance. The resistance reduction mechanism has both water injection and soil moistening and resistance reduction liquid supplement functions, which can better adapt to various complex situations, improve the overall adaptability and reliability of the device, and ensure that the grounding resistance can be effectively reduced in different scenarios.

[0018] Furthermore, the data analysis module of this invention, by setting up a start-up determination unit, determines the resistivity anomaly areas based on the resistivity of the underlying surface at various locations of the lightning protection grounding network. This enables precise location of key areas affecting lightning protection effectiveness. Based on conventional meteorological data, it determines the current meteorological characteristic values, allowing for accurate analysis of meteorological conditions. Based on lightning location data, it determines lightning movement characteristic values, enabling accurate analysis of lightning movement and precise lightning location. Based on the resistivity anomaly areas, lightning movement characteristic values, and current meteorological characteristic values, it determines whether the start-up conditions of the resistance reduction mechanism are met. This comprehensive consideration of soil conditions, lightning movement, and meteorological conditions improves the accuracy of the determination, avoids unnecessary start-up of the resistance reduction mechanism, effectively saves resources, and extends the service life of the resistance reduction mechanism. The working mode determination unit determines meteorological sensing characteristics based on meteorological radar echo data, and determines soil characteristics based on the resistivity of the underlying surface at various locations of the lightning protection grounding network and soil data. By comprehensively analyzing multi-dimensional data, it can select the appropriate working mode of the resistance reduction mechanism according to different meteorological and soil conditions, achieving precise resistance reduction.

[0019] Furthermore, by setting a parameter determination unit, the present invention can determine the water injection parameters or the amount of resistance-reducing liquid replenishment based on meteorological sensing characteristics and soil characteristics, thus avoiding blindness in the process of water injection or resistance-reducing liquid replenishment. It will not fail to effectively reduce resistance due to insufficient dosage, nor will it cause resource waste and cost increase due to excessive use. In this way, the maximum resistance reduction benefit can be obtained with the least resource input, thereby improving the resistance reduction efficiency. Attached Figure Description

[0020] Figure 1 This is a structural block diagram of an intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning, according to an embodiment of the present invention. Figure 2 This is a top view of the intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the layout of the intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the lightning protection grounding network according to an embodiment of the present invention; Figure 5 This is a schematic flowchart of the intelligent grounding resistance reduction method according to an embodiment of the present invention; In the diagram: 1. Water tank; 2. First resistance reduction unit; 21. Control mechanism; 22. Water injection pipe; 23. Main water supply pipe; 3. Lightning protection grounding network; 31. Horizontal grounding electrode; 32. Vertical grounding electrode; 4. Humidity sensor; 5. Target equipment; 6. Grounding wire. Detailed Implementation

[0021] In order to make the objects, technical schemes and advantages of the present application clearer, the following further describes the present application with reference to the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application.

[0022] The preferred embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application and are not used to limit the protection scope of the present application.

[0023] It should be noted that, in the description of the present application, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or positional relationship shown in the drawings, which is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0024] In addition, it should be noted that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integral connection; it can be mechanical connection, or electrical connection; it can be direct connection, or indirect connection through an intermediate medium, or internal communication of two elements. Those skilled in the art can understand the specific meaning of the above terms in the present application according to the specific circumstances.

[0025] Please refer to Figures 1-4 shown, Figure 1 The structural block diagram of the grounding resistance intelligent reduction device based on multi-source weather monitoring and early warning according to the embodiment of the present application is shown in the figure; Figure 2 The top view of the grounding resistance intelligent reduction device based on multi-source weather monitoring and early warning according to the embodiment of the present application is shown in the figure; Figure 3 The layout schematic diagram of the grounding resistance intelligent reduction device based on multi-source weather monitoring and early warning according to the embodiment of the present application is shown in the figure; Figure 4 The structural schematic diagram of the lightning protection ground net according to the embodiment of the present application is shown in the figure; in the figure: water tank 1; first resistance reduction unit 2; control mechanism 21; water injection pipe 22; main water supply pipe 23; lightning protection ground net 3; horizontal grounding electrode 31; vertical grounding electrode 32; humidity sensor 4; target equipment 5; grounding wire 6; the embodiment of the present application provides a grounding resistance intelligent reduction method and device based on multi-source weather monitoring and early warning, which comprises: The lightning protection resistance reduction module comprises a lightning protection ground grid for guiding lightning current to access the ground and a resistance reduction mechanism for reducing the grounding resistance of each position in the target area, wherein the lightning protection ground grid is composed of a plurality of horizontal grounding electrodes 1 and a plurality of vertical grounding electrodes 2 arranged at the intersection of each horizontal grounding electrode 1, and the layout of the lightning protection ground grid is determined based on the terrain of the target area and the resistivity of the underlying surface of each position in the target area, including the position and number of horizontal grounding electrodes 1. In implementation, the horizontal grounding electrode can be made of hot-dipped galvanized flat steel, preferably with a size of 4mm thick and 40mm wide, and the vertical grounding electrode can be an ion grounding rod with a length of 3m-5m, preferably 4m. The horizontal grounding electrode can be laid in a mesh shape, and the laying depth can be 0.8m-1.5m. The vertical grounding electrode is installed by drilling at the intersection of two horizontal grounding electrodes.

[0026] It can be understood that, according to the terrain and resistivity distribution of the underlying surface of the target area, the trend and spacing of the horizontal grounding electrode are preliminarily planned, and are preferentially arranged along the positions such as the periphery of the building and the edge of the road, and are avoided as much as possible in the rock, high resistivity area and underground pipeline and other facilities. In the area with flat terrain and uniform soil resistivity, a ring or grid layout can be used. In the area with complex terrain or large resistivity variation, the spacing of the horizontal grounding electrode can be flexibly adjusted according to the actual situation.

[0027] In implementation, a target function can be constructed according to the grounding resistance, step voltage and cost, and constraint conditions can be established with the expected grounding resistance value range, step voltage value range and terrain construction feasibility standard. A multi-objective genetic algorithm is used for solving and parameter optimization (the spacing of the horizontal grounding electrode is positively correlated with the corresponding resistivity).

[0028] Specifically, the resistance reduction mechanism comprises a plurality of first resistance reduction units for watering and soil moistening at each position of the lightning protection ground grid, and a plurality of second resistance reduction units for supplementing resistance reduction liquid at each position of the lightning protection ground grid, wherein each first resistance reduction unit corresponds to a watering mode of the resistance reduction mechanism, and each second resistance reduction unit corresponds to a supplementing resistance reduction liquid mode of the resistance reduction mechanism.

[0029] It can be understood that the specific structure of the first resistance reduction unit and the second resistance reduction unit is not limited, and can be laid above or beside the horizontal grounding electrode and the vertical grounding electrode to realize watering or supplementing resistance reduction liquid at each position of the lightning protection ground grid.

[0030] In a specific embodiment, the first resistance reduction unit 2 comprises a water tank 1, a water injection pipe 22, a main water supply pipe 23, and a control mechanism 21, the water tank 1 is connected with the main water supply pipe 23, the main water supply pipe 23 is connected with the control mechanism 21 and the water injection pipe 22, the water injection parameter of the water injection pipe 22 is controlled by the control mechanism 21, and the control mechanism 21 comprises but is not limited to a humidity receiver, a signal receiver, a control panel, a water injection switch, and a replenishment port. Generally, the main water supply pipe 23 is buried at a depth of 0.3-0.8 m, the water injection pipe 22 is buried at a depth of 0.5-1.0 m, preferably, the main water supply pipe 23 is buried at a depth of 0.5 m, and the water injection pipe 22 is buried at a depth of 0.8 m. The second resistance reduction unit can have the same structure as the first resistance reduction unit 2, and only the water in the water tank is replaced with the resistance reduction liquid.

[0031] It can be understood that the resistance reduction liquid can be any conductive liquid with better conductivity than water, and the resistivity of the underlying surface after supplementing the resistance reduction liquid is greater than that after supplementing water.

[0032] The resistance reduction mechanism of the present application can effectively improve the soil humidity by supplying water to the lightning protection ground net at different positions through a plurality of first resistance reduction units, thereby reducing the grounding resistance at a low cost. The resistance reduction mechanism can effectively reduce the grounding resistance by supplementing the resistance reduction liquid to the lightning protection ground net at different positions through a plurality of second resistance reduction units, which can adapt to different geological conditions. The resistance reduction mechanism has both water injection and resistance reduction liquid supplementing functions, which can better adapt to various complex situations, improve the overall adaptability and reliability of the device, and ensure that the grounding resistance can be effectively reduced in different scenarios.

[0033] A data acquisition module is used to acquire meteorological radar echo data, lightning positioning data, conventional meteorological element data, and soil data, and determine the resistivity of the underlying surface of each position of the lightning protection ground net; In the implementation, the meteorological radar echo data includes reflectivity factor, echo top height, echo intensity, and echo shape, the lightning positioning data includes lightning movement path direction and lightning movement speed, the lightning movement path direction points to the center of the lightning protection ground net, and the lightning movement speed is the speed component of the lightning center along the radial direction in the polar coordinate system constructed based on the center of the lightning protection ground net. The conventional meteorological element data includes temperature data, humidity data, pressure data, and wind speed data, and the soil data includes soil type, soil humidity, and soil porosity. The specific equipment and method for acquiring the meteorological radar echo data, lightning positioning data, conventional meteorological element data, and soil data are not limited.

[0034] Specifically, the data acquisition module determines the resistivity of the underlying surface of each position of the lightning protection ground net based on the soil humidity.

[0035] It can be understood that, based on the soil data in the historical data and the underlying surface resistivity of the corresponding position, a fitting curve can be drawn with the soil data as the independent variable and the underlying surface resistivity as the dependent variable, or a neural network model can be trained based on the soil data in the historical data and the underlying surface resistivity of the corresponding position to construct a soil humidity and underlying surface resistivity relationship model, and then the underlying surface resistivity of each position of the lightning protection ground net is determined based on the soil humidity.

[0036] a data analysis module connected with the data acquisition module, used to determine whether the starting condition of the resistance reduction mechanism is met based on the underlying surface resistivity of each position of the lightning protection ground net, lightning positioning data and conventional meteorological element data, and determine the working mode of the resistance reduction mechanism based on the underlying surface resistivity of each position of the lightning protection ground net, soil data and weather radar echo data, wherein the working mode of the resistance reduction mechanism includes water injection mode and supplementary resistance reduction liquid mode; Specifically, the data analysis module comprises: a starting determination unit connected with the data acquisition module, used to determine the resistivity abnormal area based on the underlying surface resistivity of each position of the lightning protection ground net, determine the lightning movement characteristic value based on the lightning positioning data, and determine the current meteorological characteristic value based on the conventional meteorological element data, and determine whether the starting condition of the resistance reduction mechanism is met based on the resistivity abnormal area, the lightning movement characteristic value and the current meteorological characteristic value; Specifically, the starting determination unit constructs a resistivity distribution map based on the underlying surface resistivity of each position of the lightning protection ground net, and determines the resistivity abnormal area based on the resistivity distribution map.

[0037] In implementation, the area with resistivity greater than the preset resistivity is recorded as a candidate area, and if the area of the candidate area is greater than a preset area threshold, the candidate area is determined as the resistivity abnormal area. It can be understood that the actual implementer can set the preset resistivity according to the safety standard or the resistivity that passes the qualification test in the historical data, and preferably, the preset resistivity is set to 100Ω·m-300Ω·m, and the preset area threshold is set to 1m 2 -4m 2 .

[0038] Specifically, the starting determination unit determines the lightning generation probability based on the lightning positioning data collected in a preset time period, and determines the lightning movement characteristic value based on the lightning generation probability, wherein the lightning positioning data includes lightning movement path direction and lightning movement speed.

[0039] In implementation, a lightning training sample set is constructed based on historical lightning positioning data and corresponding lightning generation conditions, an initial neural network model is trained based on the lightning training sample set to obtain a lightning probability analysis model, lightning positioning data collected in a preset time period is input into the lightning probability analysis model to obtain a lightning generation probability output by the lightning probability analysis model, and the lightning generation probability is a probability of lightning generation or entry in a defense range corresponding to the lightning protection ground net, preferably, the defense range corresponding to the lightning protection ground net is a region within 80m-150m above a maximum enclosed region of the lightning protection ground net.

[0040] Specifically, the start determination unit determines a current weather characteristic value based on a comparison result of regular weather element data in a preset time period and regular weather element data collected at a current time, wherein the regular weather element data includes temperature data, humidity data, air pressure data, and wind speed data.

[0041] In implementation, the i-th regular weather element data collected in the preset time period is Y i,1 , Y i,2 , …, Y i,j , …, Y i,m ; the regular weather element data collected at the current time is E1, E2, …, E j , …, E m , and the current weather characteristic value is MP=(∑ n i=1 sqrt(∑ m j=1 (Y i,j -E j ) 2 ) / n, sqrt() is a preset square root determination function, i=1, 2, …, n; j=1, 2, …, m; n is the number of collection in the preset time period, and m is the number of regular weather element data.

[0042] It can be understood that actual implementers can set the preset time period according to actual conditions, and preferably, the preset time period is set to 1min-2min.

[0043] It can be understood that if the area of the resistivity anomaly region is greater than the preset area, the lightning movement characteristic value is greater than the preset lightning movement characteristic value, and the current meteorological characteristic value is less than the preset meteorological characteristic value, it is determined that the starting condition of the resistance reduction mechanism is met. The actual implementer can set the preset area based on the area of the region that passes the eligibility test in the historical data, or set the preset area based on 2-3 times the preset area threshold. The actual implementer can set the preset meteorological characteristic value based on the actual situation, and preferably, the preset meteorological characteristic value is set to a range of 0.9-0.95. The actual implementer can set the preset lightning movement characteristic value based on the actual situation, and preferably, the preset lightning movement characteristic value is set to a range of 0.4-0.5.

[0044] a working mode determination unit connected with the data acquisition module, configured to determine a meteorological awareness feature based on the meteorological radar echo data, and determine a soil quality feature based on the resistivity of the underlying surface at each position of the lightning protection ground net and the soil data, and determine the working mode of the resistance reduction mechanism based on the meteorological awareness feature and the soil quality feature; Specifically, the working mode determination unit constructs a meteorological warning model based on the meteorological radar echo data, and determines the meteorological awareness feature based on the meteorological warning model, wherein the meteorological radar echo data includes reflectivity factor, echo top height, echo intensity, and echo shape.

[0045] In implementation, the meteorological awareness feature can reflect the weather condition and change, including weak lightning, medium lightning, strong lightning, and super-strong lightning. Weak lightning corresponds to a low lightning occurrence frequency, and a lightning occurs once in a long time interval, and the thunder sound is relatively weak. Medium lightning corresponds to a relatively frequent lightning, and the number of lightning significantly increases, and there can be several lightning per minute, and the thunder sound is loud and lasts for a long time. Strong lightning corresponds to very intense lightning activity, and lightning almost appears uninterruptedly, and the lightning frequency is extremely high, and there can be dozens of times or more per minute, and the thunder sound is deafening. Super-strong lightning corresponds to lightning activity reaching the super-strong level, and the intensity and frequency of lightning are far beyond the conventional strong lightning weather, and the lightning energy is huge. The meteorological radar echo data collected in the historical data is preprocessed, and a data set is constructed, an initial neural network model is trained based on the data set to obtain a meteorological warning model. The meteorological warning model can learn the correlation between the meteorological radar echo data and the meteorological awareness feature. Those skilled in the art know that any neural network model that can obtain the meteorological awareness feature in the prior art falls within the protection scope of the present application, and will not be described here.

[0046] Specifically, the working mode determination unit determines a comprehensive soil quality index based on the underlying surface resistivity of each position of the lightning protection ground net and the soil data, and determines a soil quality feature based on the comprehensive soil quality index, wherein the soil data includes a soil quality type, soil humidity, and soil porosity.

[0047] In implementation, the underlying surface resistivity of each position of the lightning protection ground net and the soil data are standardized, and a corresponding feature value is set for the soil quality type, for example, sandy soil, clay, loam, gravel, etc. The underlying surface resistivity of each soil quality is sorted and assigned (the maximum resistivity is assigned as 1, the second resistivity is assigned as 2, and so on), a corresponding weight is set based on the influence degree of each parameter on the reduction of grounding resistance, and each parameter value is multiplied by the corresponding weight, then added to obtain the comprehensive soil quality index L=∑ h k=1 w k ×x k , x k is the kth parameter, w k is the weight corresponding to the kth parameter, and the corresponding soil quality feature is determined based on a preset index-feature correspondence table. It can be understood that the actual implementer can set the preset index-feature correspondence table based on the actual situation, which can be divided into 5-8 levels, arranged according to the degree of vulnerability to lightning, and the soil quality feature corresponding to the highest level is most vulnerable to lightning. The degree of vulnerability to lightning is negatively correlated with the comprehensive soil quality index.

[0048] It can be understood that if the meteorological perception feature is weak lightning and the soil quality feature level is the lowest, the working mode of the resistance reduction mechanism is determined as the water injection mode, otherwise, the working mode of the resistance reduction mechanism is the supplementary resistance reduction liquid mode.

[0049] The data analysis module of the present application can accurately locate the key area affecting the lightning protection effect by setting the starting determination unit to determine the resistivity abnormal area based on the underlying surface resistivity of each position of the lightning protection ground net, accurately analyze the weather conditions based on the current meteorological feature value determined based on the conventional meteorological element data, and comprehensively consider the soil quality conditions and weather conditions to improve the determination accuracy, avoid unnecessary starting of the resistance reduction mechanism, effectively save resources, and prolong the service life of the resistance reduction mechanism. The working mode determination unit determines the meteorological perception feature based on the meteorological radar echo data, determines the soil quality feature based on the underlying surface resistivity of each position of the lightning protection ground net and the soil data, and analyzes the multi-dimensional data to select the appropriate working mode of the resistance reduction mechanism according to different weather and soil conditions, and realizes accurate resistance reduction.

[0050] Specifically, the data analysis module further comprises: a parameter determining unit connected with the data acquisition module, configured to determine a water injection parameter of the first resistance reduction unit for water injection or a supplement amount of the second resistance reduction unit for resistance reduction liquid supplement based on the weather sensing feature and the soil feature, wherein the water injection parameter comprises a water injection time and a water injection flow rate.

[0051] In implementation, the adjustment parameter is determined based on the weather sensing feature and the soil feature, the water injection time of the first resistance reduction unit for water injection is determined based on a product of the adjustment parameter and a standard water injection time, the water injection flow rate of the first resistance reduction unit for water injection is determined based on a product of the adjustment parameter and a standard water injection flow rate, and the supplement amount of the second resistance reduction unit for resistance reduction liquid supplement is determined based on a product of the adjustment parameter and a standard supplement amount.

[0052] It can be understood that the weather sensing feature and the soil feature are assigned values, for example, weak lightning is assigned a value of 1, medium lightning is assigned a value of 2, strong lightning is assigned a value of 3, and super-strong lightning is assigned a value of 4, and first-class soil is assigned a value of 1, and so on. Then, a first ratio is determined based on a ratio of a value corresponding to the weather sensing feature to a sum of all values of the weather sensing feature, a second ratio is determined based on a ratio of a value corresponding to the soil feature to a sum of all values of the soil feature, and the adjustment parameter is determined based on a product or an average of the first ratio and the second ratio. Actual implementers can set the standard water injection time / standard water injection flow rate / standard supplement amount based on actual conditions or average water injection time / average water injection flow rate / average supplement amount that pass the qualification test in historical data. Preferably, the value range of the standard water injection time is set to 30 min to 60 min, the value range of the standard water injection flow rate is set to 2 m / s to 5 m / s, and the value range of the standard supplement amount is set to 10 kg / m to 20 kg / m.

[0053] The parameter determining unit can determine the water injection parameter or the resistance reduction liquid supplement amount according to the weather sensing feature and the soil feature, avoiding blindness in the water injection or resistance reduction liquid supplement process, so that the resistance reduction efficiency is improved.

[0054] a resistance reduction control module connected with the data analysis module and the lightning protection and resistance reduction module, configured to control the start / stop and working mode of the resistance reduction mechanism based on the analysis result of the data analysis module.

[0055] The lightning protection ground net vertical grounding electrode is arranged at the intersection of each horizontal grounding electrode, which can provide good electrical connection and current dispersion path, the position and quantity of the horizontal grounding electrode are determined based on the terrain of the target area and the resistivity of the underlying surface, so that the grounding system can better adapt to different geological conditions, ensure that the grounding resistance meets the requirements, effectively disperse lightning current, and improve the reliability and stability of the device. The data acquisition module can acquire meteorological radar echo data, conventional meteorological element data, underlying surface resistivity of each position of the lightning protection ground net and soil data, ensure that the acquired data is timely, and can timely reflect the current environmental and geological condition changes, provide basis for timely adjusting lightning protection strategy and resistance reduction measures. The data analysis module determines the starting condition of the resistance reduction mechanism based on the underlying surface resistivity of each position of the lightning protection ground net and the conventional meteorological element data, can start the resistance reduction mechanism in advance before the grounding resistance may be increased due to environmental changes and affect the lightning protection effect, ensure that the lightning protection ground net is always in good working condition, effectively reduce the grounding resistance, and improve the lightning protection safety. According to the underlying surface resistivity, soil data and meteorological radar echo data, the working mode of the resistance reduction mechanism is determined, so that the resistance reduction measures are more accurate and effective, the resistance reduction efficiency is improved, and resources are saved. By comprehensively analyzing various data, it is judged whether the layout of the lightning protection ground net needs to be adjusted, so that the lightning protection ground net can adapt to the dynamic changes of the environment, and the persistence and stability of the lightning protection effect are ensured. The resistance reduction control module controls the start and stop and working mode of the resistance reduction mechanism according to the result of the data analysis module, realizes the automation and intelligentization of the resistance reduction process, can accurately start the corresponding resistance reduction measures when resistance reduction is needed, and select the appropriate working mode, avoid the timeliness and blindness of manual intervention, and improve the efficiency and accuracy of resistance reduction work.

[0056] Referring to Figure 4 The embodiment of the application also provides a grounding resistance intelligent reduction method, which comprises the following steps: Step S1, acquiring meteorological radar echo data, lightning positioning data, conventional meteorological element data and soil data; Step S2, determining the underlying surface resistivity of each position of the lightning protection ground net based on the soil data; Step S3, determining whether the starting condition of the resistance reduction mechanism is met based on the underlying surface resistivity of each position in the lightning protection ground net, the lightning positioning data and the conventional meteorological element data; Step S4, if the starting condition is met, determining the working mode of the resistance reduction mechanism based on the underlying surface resistivity of each position of the lightning protection ground net, the soil data and the meteorological radar echo data, wherein the working mode of the resistance reduction mechanism comprises a water injection mode and a supplementary resistance reduction liquid mode.

[0057] Specifically, the ground resistance intelligent reduction method can be applied to the ground resistance intelligent reduction device based on multi-source meteorological monitoring and early warning, and the same technical effects are achieved, which will not be described here.

[0058] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after the changes or replacements will fall within the protection scope of the present application.

Claims

1. A grounding resistance intelligent reduction device based on multi-source meteorological monitoring and early warning, characterized in that, include: The lightning protection and resistance reduction module includes a lightning protection grounding network for guiding lightning current into the ground and a resistance reduction mechanism for reducing the grounding resistance at various locations in the target area. The lightning protection grounding network consists of several horizontal grounding electrodes and several vertical grounding electrodes, with the vertical grounding electrodes located at the junctions of the horizontal grounding electrodes. The layout of the lightning protection grounding network is determined based on the topography of the target area and the resistivity of the underlying surface at various locations in the target area, including the location and number of horizontal grounding electrodes. The data acquisition module is used to collect meteorological radar echo data, lightning location data, conventional meteorological element data and soil data, and to determine the resistivity of the underlying surface at each location of the lightning protection grounding network. The data analysis module, which is connected to the data acquisition module, is used to determine whether the activation conditions of the drag reduction mechanism are met based on the resistivity of the underlying surface, lightning location data, and conventional meteorological data at each location of the lightning protection grounding network. It also determines the working mode of the drag reduction mechanism based on the resistivity of the underlying surface, soil data, and meteorological radar echo data at each location of the lightning protection grounding network. The working modes of the drag reduction mechanism include a water injection mode and a drag reduction liquid replenishment mode. The resistance reduction control module is connected to both the data analysis module and the lightning protection resistance reduction module, and is used to control the start-up, shutdown and working mode of the resistance reduction mechanism based on the analysis results of the data analysis module.

2. The intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning as described in claim 1, characterized in that, The drag reduction mechanism includes several first drag reduction units for injecting water and moistening soil at various locations of the lightning protection grounding network, and several second drag reduction units for replenishing drag reduction liquid at various locations of the lightning protection grounding network.

3. The intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning as described in claim 2, characterized in that, The data analysis module includes: The activation determination unit is connected to the data acquisition module and is used to determine the resistivity anomaly area based on the resistivity of the underlying surface at each location of the lightning protection grounding network, determine the lightning movement characteristic value based on lightning location data, and determine the current meteorological characteristic value based on conventional meteorological element data. It also determines whether the activation conditions of the resistance reduction mechanism are met based on the resistivity anomaly area, the lightning movement characteristic value, and the current meteorological characteristic value. The working mode determination unit is connected to the data acquisition module and is used to determine the meteorological sensing characteristics based on the meteorological radar echo data, and to determine the soil characteristics based on the resistivity of the underlying surface at each location of the lightning protection grounding network and the soil data, and to determine the working mode of the resistance reduction mechanism based on the meteorological sensing characteristics and the soil characteristics.

4. The intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning as described in claim 3, characterized in that, The activation determination unit constructs a resistivity distribution map based on the resistivity of the underlying surface at each location of the lightning protection grounding network, and determines the resistivity anomaly area based on the resistivity distribution map.

5. The intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning as described in claim 4, characterized in that, The activation determination unit determines the lightning generation probability based on the lightning location data collected within a preset time period, and determines the lightning movement characteristic value based on the lightning generation probability. The lightning location data includes the lightning movement path direction and the lightning movement speed.

6. The intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning as described in claim 5, characterized in that, The activation determination unit determines the current meteorological characteristic value based on the comparison results between the conventional meteorological element data within a preset time period and the conventional meteorological element data collected at the current time. The conventional meteorological element data includes temperature data, humidity data, air pressure data, and wind speed data.

7. The intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning as described in claim 6, characterized in that, The working mode determination unit constructs a meteorological early warning model based on the meteorological radar echo data, and determines meteorological perception characteristics based on the meteorological early warning model. The meteorological radar echo data includes reflectivity factor, echo top height, echo intensity, and echo morphology.

8. The intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning according to claim 7, characterized in that, The working mode determination unit determines a comprehensive soil quality index based on the resistivity of the underlying surface at each location of the lightning protection grounding network and the soil data, and determines soil characteristics based on the comprehensive soil quality index. The soil data includes soil type, soil moisture, and soil porosity.

9. The intelligent grounding resistance reduction device based on multi-source meteorological monitoring and early warning as described in claim 8, characterized in that, The data analysis module also includes: The parameter determination unit, which is connected to the data acquisition module, is used to determine the water injection parameters for the first drag reduction unit to inject water for soil wetting or the replenishment amount for the second drag reduction unit to replenish drag reduction fluid based on the meteorological sensing characteristics and the soil characteristics. The water injection parameters include water injection time and water injection flow rate.

10. A method for intelligently reducing grounding resistance applied to the intelligent grounding resistance reduction device according to any one of claims 1-9, characterized in that, include: Step S1: Collect meteorological radar echo data, lightning location data, conventional meteorological element data, and soil data; Step S2: Determine the resistivity of the underlying surface at each location of the lightning protection grounding network based on the soil data; Step S3: Determine whether the activation conditions of the resistance reduction mechanism are met based on the resistivity of the underlying surface, lightning location data, and conventional meteorological data at each location within the lightning protection grounding network. Step S4: If the conditions are met, the working mode of the resistance reduction mechanism is determined based on the resistivity of the underlying surface, soil data, and meteorological radar echo data at each location of the lightning protection grounding network. The working modes of the resistance reduction mechanism include water injection mode and resistance reduction fluid replenishment mode.

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