An adaptive soil environment grounding system and method for a power grounding grid

Abstract

The application discloses a kind of electric power grounding grid adaptive soil environment grounding system and method, it is related to electric power system grounding technical field, the application constructs the synergic protection system of electrochemical corrosion and chemical corrosion, realize the accurate active neutralization of stray current, inhibit electrochemical corrosion;While linkage resistance reduction agent injection system adapts soil chemical corrosion state, realize the synergic prevention and control of double corrosion, the application sets up two-component adaptive resistance reduction agent injection system, realizes active, long-acting resistance reduction and soil acidity neutralization, relieve the chemical corrosion of strong acid soil;The application constructs full closed loop adaptive control system, dynamically adjusts neutralization current output parameter and resistance reduction agent grouting frequency, realizes the adaptive closed loop control of grounding system;While through remote monitoring platform realizes the real-time visual monitoring of grounding grid state, remote control and whole cycle health assessment, reduce grounding grid failure probability, guarantee chemical plant area long-term safe production.

Description

Technical Field

[0001] This invention relates to the field of power system grounding technology, specifically to an adaptive soil environment grounding system and method for power grounding grids. Background Technology

[0002] In the combined grounding system of the chemical plant area, the soil pH ranges from 2.5 to 4.5, making it highly acidic and containing high concentrations of sulfates and chlorinated hydrocarbons. Furthermore, stray current interference persists. Under these extreme conditions, conventional copper grounding grids are prone to hydrogen embrittlement and intergranular corrosion. Impressed current cathodic protection systems suffer from regulation lag, easily leading to hydrogen evolution due to overprotection. This can cause localized grounding grid fractures, creating isolated conductors. The resulting stray current convergence can generate an electric arc, igniting surrounding flammable gases and severely threatening the safe production and stable operation of the chemical plant area.

[0003] As can be seen from the invention application patent with publication number CN112332679A, the existing technology has defects in addressing the above problems, specifically as follows: On the one hand, the existing technology only protects against electrochemical corrosion, lacking effective means to deal with chemical corrosion in highly acidic soils. Moreover, the adjustment mechanism is fixed and cannot dynamically adjust the protection parameters according to sudden changes in soil chemical properties, which easily leads to overprotection or underprotection. At the same time, it does not consider the function of stray current neutralization, making it difficult to solve the problem of stray current interference. On the other hand, it uses a fixed ratio of resistance-reducing agent, which cannot dynamically adapt to the sudden changes in soil resistivity caused by production leaks in chemical plants. The resistance-reducing effect is unstable, and it does not integrate stray current monitoring and neutralization modules, making it unable to deal with electrochemical corrosion caused by stray currents. Long-term operation of the grounding grid poses safety hazards. On the other hand, it can only passively discharge stray currents, lacking active neutralization and dynamic adjustment capabilities. It cannot match the direction and amplitude of stray currents in real time, resulting in limited drainage effects. Furthermore, it does not involve resistance-reducing agent injection and chemical corrosion protection, making it difficult to meet the needs of chemical plant areas for synergistic protection against chemical and electrochemical corrosion, and it cannot achieve active resistance reduction function. Summary of the Invention

[0004] To address the aforementioned technical shortcomings, the present invention aims to provide an adaptive soil environment grounding system and method for power grounding grids.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The first aspect of the present invention provides an adaptive soil environment grounding system for power grounding grids, comprising: a multi-parameter electrochemical sensor array buried in key nodes of the grounding grid.

[0006] A control unit that communicates with a multi-parameter electrochemical sensor array.

[0007] A programmable AC / DC integrated neutralizing power supply electrically connected to the control unit, wherein the output terminal of the programmable AC / DC integrated neutralizing power supply is electrically connected to the grounding grid.

[0008] A two-component adaptive drag-reducing agent injection system connected to a control unit.

[0009] The control unit is configured to:

[0010] Real-time data on soil pH, sulfate concentration, stray current density, and AC interference voltage were acquired from a multi-parameter electrochemical sensor array to construct a dynamic spectrum of soil corrosivity and stray current field.

[0011] Feature extraction and correlation analysis were performed on the dynamic spectrum of soil corrosivity and stray current field to identify corrosion risk hotspots and stray current confluence paths, and to generate a vector diagram of corrosion risk level and stray current flow direction.

[0012] The corrosion risk level and stray current flow vector diagram are input into the deep reinforcement learning decision model, which outputs the neutralization current amplitude and phase, as well as the mixing ratio of the drag-reducing agent A / B components.

[0013] The neutralizing current amplitude and phase, as well as the mixing ratio of drag-reducing agent A / B components, are determined based on priority judgment rules, and the execution actions of injecting reverse-phase canceling current or pressing in mixed drag-reducing agent are triggered.

[0014] For the grounding grid after injecting anti-phase current or pressing in mixed resistance-reducing agent, real-time data from a multi-parameter electrochemical sensor array is continuously acquired for closed-loop feedback, and the output parameters of the programmable AC / DC integrated neutralizing power supply and the grouting frequency of the dual-component adaptive resistance-reducing agent injection system are dynamically adjusted.

[0015] The second aspect of the present invention provides a method for implementing an adaptive soil environment grounding system using a power grounding grid, comprising: ST1, acquiring soil pH, sulfate concentration, stray current density and AC interference voltage data characteristics in real time from a multi-parameter electrochemical sensor array, and constructing a dynamic spectrum of soil corrosivity and stray current field.

[0016] ST2. Feature extraction and correlation analysis are performed on the dynamic spectrum of soil corrosivity and stray current field to identify corrosion risk hotspots and stray current confluence paths, and to generate a vector diagram of corrosion risk level and stray current flow direction.

[0017] ST3. Input the corrosion risk level and stray current flow vector diagram into the deep reinforcement learning decision model, and output the neutralization current amplitude and phase, as well as the mixing ratio of the drag-reducing agent A / B components.

[0018] ST4. Based on the priority determination rules, the amplitude and phase of the neutralizing current and the mixing ratio of the drag-reducing agent A / B components are determined, and the execution action of injecting the reverse-phase canceling current or pressing in the mixed drag-reducing agent is triggered.

[0019] ST5. For the grounding grid after injecting the reverse-phase canceling current or pressing in the mixed resistance-reducing agent, continuously acquire real-time data from the multi-parameter electrochemical sensor array for closed-loop feedback, and dynamically adjust the output parameters of the programmable AC / DC integrated neutralizing power supply and the grouting frequency of the dual-component adaptive resistance-reducing agent injection system.

[0020] The beneficial effects of the present invention are as follows: (1) The present invention constructs a synergistic protection system for electrochemical corrosion and chemical corrosion, realizes the precise active neutralization of stray current, and suppresses electrochemical corrosion; at the same time, the linkage resistance reducing agent injection system is adapted to the soil chemical corrosion state, realizes the synergistic prevention and control of dual corrosion, avoids the hydrogen evolution and grounding grid hydrogen embrittlement fracture problems caused by overprotection of traditional cathodic protection system, and reduces the risk of electric arc explosion in flammable and explosive plant areas.

[0021] (2) The present invention sets up a two-component adaptive resistance-reducing agent injection system, which adjusts the resistance-reducing agent formula in real time according to the sudden change in soil environment caused by the leakage of production medium, so as to achieve active and long-term resistance reduction and soil acidity neutralization, and alleviate the chemical corrosion of strong acid soil. At the same time, the system and the stray current neutralization system achieve orderly coordination through priority rules, taking into account both the stable control of grounding resistance and the suppression of stray current interference, ensuring the long-term stability of the grounding performance of the grounding grid, and avoiding the signal interference problem of DCS system caused by grounding resistance fluctuation.

[0022] (3) The present invention constructs a fully closed-loop adaptive control system, dynamically adjusts the neutral current output parameters and the grouting frequency of the resistance reducing agent, and realizes the adaptive closed-loop control of the grounding system; at the same time, the grounding grid status is visualized in real time, remotely controlled and managed and the whole cycle health assessment is realized through the remote monitoring platform, which can identify corrosion risk hotspots and stray current convergence paths in advance, greatly reduce the probability of grounding grid failure, and ensure the long-term safe production of the chemical plant area. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0025] Figure 2This is a schematic diagram of the implementation steps of the method of the present invention. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] Reference Figure 1 As shown, the first aspect of the present invention provides an adaptive soil environment grounding system for power grounding grids, comprising: a multi-parameter electrochemical sensor array buried in key nodes of the grounding grid.

[0028] The grounding grid is a combined grounding grid used for equipment grounding, anti-static grounding, and lightning protection grounding within the chemical plant area. The multi-parameter electrochemical sensor array is buried at key nodes of the combined grounding grid. The key nodes include the intersection of grounding trunk lines, the connection of equipment grounding down conductors, the lightning protection grounding boundary point, and historically weak areas where corrosion and leakage have occurred.

[0029] A control unit that communicates with a multi-parameter electrochemical sensor array.

[0030] In a specific embodiment of the present invention, the multi-parameter electrochemical sensor array includes: a method for measuring soil pH. Electrode, the The electrode adopts a solid-state electrochemical structure, which has resistance to chemical contamination and long-term stability.

[0031] An ion-selective electrode for measuring sulfate concentration, wherein the ion-selective electrode is a solid-state contact type and the internal reference solution is encapsulated in a corrosion-resistant housing.

[0032] A composite current / voltage sensor for measuring stray current density and AC interference voltage. The composite current / voltage sensor is an integrated package of a wideband Rogowski coil, a toroidal fluxgate, and a differential voltage probe. The wideband Rogowski coil is used to measure AC stray current density, the toroidal fluxgate is used to measure DC stray current density, and the differential voltage probe is used to measure AC interference voltage.

[0033] The stray current density refers to the amount of stray current passing through the soil and key nodes of the grounding grid in the chemical plant area per unit area. It is a key quantitative indicator that characterizes the intensity and density of stray current in the spatial distribution of monitoring points. The commonly used unit is mA / m². It is the key basis for this invention to determine the stray current interference level, identify the confluence path, and trigger the reverse-phase cancellation current injection action. The stray current density includes two independent components: AC stray current density and DC stray current density, as well as the total stray current density formed by the vector synthesis of the two.

[0034] The Electrodes, ion-selective electrodes, and composite current / voltage sensors are co-located within the same sensor housing at key nodes of the grounding grid, forming a multi-parameter in-situ monitoring unit. Ion permeation pores are opened on the surface of the sensor housing and filled with conductive porous ceramic medium.

[0035] It should be noted that the sensor sheath has ion permeation pores on its surface and is filled with conductive porous ceramic medium, which can ensure effective contact between the soil solution and the electrode, while preventing contamination by large particulate impurities.

[0036] A programmable AC / DC integrated neutralizing power supply electrically connected to the control unit, wherein the output terminal of the programmable AC / DC integrated neutralizing power supply is electrically connected to the grounding grid.

[0037] The programmable AC / DC integrated neutralizing power supply adopts an IGBT full-bridge topology, and its output response time is configured to be ≤ a preset response time threshold.

[0038] A two-component adaptive drag-reducing agent injection system connected to a control unit.

[0039] In a specific embodiment of the present invention, the two-component adaptive drag-reducing agent injection system includes: tank A and tank B, which respectively store the conductive polymer drag-reducing agent matrix and the pH buffer, and both tank A and tank B are equipped with a liquid level monitoring sensor and a temperature compensation heating jacket.

[0040] It should be noted that the temperature compensation heating jacket is a heat tracing heating structure that fits into the outer wall of the storage tank. It is electrically connected to the control unit and can automatically adjust the heating power according to the real-time temperature data of the medium in the storage tank to maintain the medium temperature within a preset suitable range. This prevents the conductive polymer drag-reducing agent matrix from suddenly increasing in viscosity at low temperatures and the dihydrogen phosphate solution from crystallizing at low temperatures, ensuring the fluidity and pumpability of the two-component medium and ensuring the accuracy of the grouting pump in pumping liquid according to the ratio.

[0041] The liquid level monitoring sensor is communicatively connected to the control unit, and the liquid level data it collects from the storage tank is used throughout the subsequent operation of the system. Specific applications include:

[0042] 1. Real-time uploading of A and B component medium level data to the control unit. When the liquid level falls below the preset low liquid level threshold, the control unit triggers an audible and visual alarm and simultaneously uploads the data to the remote monitoring platform, reminding maintenance personnel to replenish the material and preventing equipment damage caused by the grouting pump running dry; 2. Assisting in the calibration of the plunger stroke of the two-component grouting pump. When abnormal fluctuations occur in the liquid level, the control unit fine-tunes the plunger pumping parameters based on the liquid level data to ensure the accuracy of the A / B component mixing ratio; 3. The remote monitoring platform displays the liquid level data in real time, providing data support for the operation and maintenance planning and medium replenishment of the plant grounding system.

[0043] A two-component grouting pump is connected to storage tank A and storage tank B respectively. The two-component grouting pump adopts a servo motor driven proportional plunger structure, and the stroke speed ratio of the two plungers is adjusted in real time according to the mixing ratio of drag-reducing agent A / B components.

[0044] It should also be noted that the control unit converts the calculated mixing ratio of drag-reducing agent components A / B into a corresponding stroke ratio signal, specifically:

[0045] The effective flow cross-sectional areas of the two plungers, A and B, are pre-calibrated and denoted as S_A and S_B, respectively. These parameters are fixed values ​​for the plunger structure and are pre-stored in the control unit.

[0046] The control unit receives the target mixing ratio, i.e., volume ratio K=V_A / V_B, of the drag-reducing agent components A / B from the deep reinforcement learning decision model. Based on the flow characteristics of the volumetric plunger pump, the target mixing ratio is converted into the target volumetric flow rate ratio of the two plungers, with the formula: Q_A / Q_B=K, where Q_A is the target volumetric flow rate of component A and Q_B is the target volumetric flow rate of component B.

[0047] Based on the linear relationship between the volumetric flow rate of the plunger pump and the plunger stroke speed: Q=S×v, where v is the plunger stroke speed per unit time, the target flow ratio is converted into the stroke speed ratio of the two plungers, and the formula is: v_A / v_B=(K×S_B) / S_A.

[0048] The control unit converts the above stroke speed ratio into proportional control signals of the pulse frequency and pulse quantity of the two servo motors, i.e. stroke ratio signals, and transmits them to the servo motor drivers corresponding to the A and B plungers, respectively. The drivers then control the servo motors to drive the plungers according to the corresponding parameters.

[0049] Furthermore, the control unit uses the liquid level monitoring sensor to collect real-time liquid level change data of tanks A and B, and performs real-time closed-loop calibration of the stroke ratio signal: when the actual consumption volume ratio of components A and B per unit time deviates from the target mixing ratio K, the control unit finely adjusts the pulse control parameters of the two servo motors in real time to correct the piston stroke speed and ensure the long-term accuracy of the mixing ratio.

[0050] An injection pipe is pre-embedded along the direction of the grounding body and is equipped with a micro-hole release port. The injection pipe is symmetrically arranged on both sides of the grounding body, and the micro-hole release port faces the surface of the grounding body.

[0051] The two-component grouting pump extracts the components from tanks A and B according to the mixing ratio of the drag-reducing agent A / B components. After being mixed evenly by a static mixer, the mixture is injected into the soil layer around the grounding electrode through the injection pipeline, forming a continuous conductive modification zone around the grounding electrode.

[0052] In a specific embodiment of the present invention, the conductive polymer drag-reducing agent matrix is ​​a polyaniline / graphene hydrogel, and the mass ratio of polyaniline to graphene in the polyaniline / graphene hydrogel is adjustable according to a preset range to achieve synergistic optimization of conductivity and viscosity; the pH buffer is a dihydrogen phosphate solution, and the concentration of the dihydrogen phosphate solution is dynamically adjusted according to the initial pH value and the target pH value of the soil.

[0053] For example, the polyaniline / graphene mass ratio is adjusted as follows: the preset adjustable range of the mass ratio is 10:1-50:1. The control unit dynamically matches the ratio according to the measured value of soil resistivity. When the soil resistivity is >100Ω·m, a low mass ratio of 10:1-20:1 is used to improve conductivity; when the soil resistivity is 50-100Ω·m, a medium mass ratio of 20:1-35:1 is used to balance conductivity and viscosity; when the soil resistivity is <50Ω·m, a high mass ratio of 35:1-50:1 is used to reduce viscosity to optimize grouting fluidity. The ultimate goal is to control the conductivity of the resistance-reducing agent at 10-50 S / m and the apparent viscosity at 500-1500 mPa·s, thereby achieving synergistic optimization of conductivity and grouting fluidity.

[0054] Dihydrogen phosphate solution concentration adjustment: The preset concentration gradient is 0.5-2 mol / L. The control unit dynamically configures the concentration based on the difference between the initial soil pH and the target pH, i.e., ΔpH = |target pH - initial pH|. When ΔpH ≤ 0.5, a low concentration of 0.5 mol / L is used; when ΔpH = 0.5-1.0, a medium concentration of 1.0 mol / L is used; and when ΔpH > 1.0, a high concentration of 2.0 mol / L is used. The target pH value is set based on the soil corrosivity classification rules mentioned above: for Class I low-risk soil (pH ≥ 4.0), the target pH is set at 4.0-4.5; for Class II medium-risk soil (pH between 3.0 and 4.0), the target pH is set at 3.5-4.0; and for Class III high-risk soil (pH < 3.0), the target pH is set at 3.0-3.5. By adjusting the concentration, the soil pH is quickly controlled to the target range to alleviate the strong corrosivity of the soil.

[0055] This invention establishes a two-component adaptive resistance-reducing agent injection system, which adjusts the resistance-reducing agent formulation in real time according to the sudden changes in the soil environment caused by the leakage of the production medium, thereby achieving active and long-term resistance reduction and neutralization of soil acidity, and alleviating the chemical corrosion of strongly acidic soils. At the same time, this system and the stray current neutralization system achieve orderly coordination through priority rules, taking into account both the stable control of grounding resistance and the suppression of stray current interference, ensuring the long-term stability of the grounding grid's grounding performance, and avoiding the signal interference problem of DCS system caused by grounding resistance fluctuations.

[0056] The control unit is configured to acquire soil pH, sulfate concentration, stray current density and AC interference voltage data characteristics in real time from a multi-parameter electrochemical sensor array, and construct a dynamic spectrum of soil corrosivity and stray current field.

[0057] It should be noted that outlier diagnosis and validity verification are also performed on the real-time data of the multi-parameter electrochemical sensor array. When sensor data is detected to be out of range, continuously unchanged, or with a mutation rate exceeding the threshold, it is determined to be a sensor fault. The faulty data is then masked and replaced with interpolated data from adjacent nodes, while simultaneously triggering a sensor fault warning.

[0058] It should also be noted that the specific method for constructing the dynamic spectrum of soil corrosivity and stray current field is as follows: S1 Data standardization preprocessing: Dimensionless normalization is performed on the collected raw data, and the calculation dimensions of different physical quantities are unified by the principle of dimensional consistency, so as to eliminate the interference of dimensional differences on spatial distribution analysis.

[0059] S2 Spatial Topology Base Construction: Based on the physical topology of the plant's joint grounding network, the physical locations of each monitoring node are accurately mapped to a two-dimensional spatial coordinate system to establish a spatial topology base that corresponds one-to-one with the actual layout of the grounding network.

[0060] S3 Dual-Dimensional Base Layer Construction: On the spatial topological base, a soil corrosivity layer and a stray current field layer are constructed respectively. The soil corrosivity layer maps the spatial distribution of corrosivity level based on the pH value and sulfate concentration data of each point. The stray current field layer adopts a three-layer nested structure. First, an AC stray current component layer is constructed based on the AC stray current density and AC interference voltage data of each point. Then, a DC stray current component layer is constructed based on the DC stray current density data of each point. Finally, the two component layers are merged through a vector synthesis algorithm to generate the core layer of the total stray current field, realizing a dual-dimensional mapping of the spatial distribution of stray current AC and DC components and the total amount.

[0061] S4 Dynamic Fusion and Map Generation: Based on real-time sensor data acquisition, the soil corrosivity layer, the AC component layer, the DC component layer, and the core layer of the total stray current field are dynamically updated in time. Seasonal temperature and humidity ranges and working condition labels of leakage risk levels in chemical production areas are integrated simultaneously to complete the spatial overlay and data association fusion of each layer, ultimately forming an integrated dynamic map of soil corrosivity and stray current field. The map can independently display the spatial distribution characteristics of AC and DC stray current components, as well as the overall distribution characteristics of the total stray current field.

[0062] It should be added again that the AC / DC stray current vector synthesis adopts a synchronous sampling mechanism. The sampling time synchronization error between the wideband Rogowski coil and the toroidal fluxgate is ≤1ms. The effective value of AC stray current density and the amplitude of DC stray current density of the same monitoring node are synthesized using the sampling data of the same time window. The polarity of DC stray current is only used for the polarity matching of subsequent DC suppression current and does not participate in the synthesis calculation of the absolute value of total stray current density.

[0063] Feature extraction and correlation analysis were performed on the dynamic spectrum of soil corrosivity and stray current field to identify corrosion risk hotspots and stray current confluence paths, and to generate a vector diagram of corrosion risk level and stray current flow direction.

[0064] It should be noted that the feature extraction is a spatial distribution feature extraction for a two-dimensional layer of dynamic maps of soil corrosivity and stray current field: for the soil corrosivity layer, the spatial gradient of pH value and sulfate concentration, and the boundary and aggregation characteristics of the area where the corrosion level exceeds the threshold are extracted at each monitoring point; for the stray current field layer, the spatial decay law of stray current density, current vector direction, peak point distribution and confluence channel characteristics are extracted at each point.

[0065] The correlation analysis includes two core types of analysis: first, the same-site parameter coupling correlation analysis, which quantifies the correlation between soil corrosivity parameters and stray current electrical parameters at the same monitoring node, and clarifies the coupling influence weight of chemical corrosion and electrochemical corrosion; second, cross-layer spatial matching correlation analysis, which matches the spatial overlap between corrosion risk areas and stray current confluence paths, and identifies high-risk areas where the two types of risks are coupled.

[0066] Through the above processing, the standardized generation of two types of results was completed using the grounding grid spatial topology as a unified spatial coordinate reference: First, based on the measured data of pH value and sulfate concentration at each point, a spatial distribution map of corrosion risk level with quantitative classification was generated according to the preset soil corrosivity classification rules, clearly marking the corrosion risk level, the points exceeding the standard, and the boundaries of the risk area in each region; Second, based on the vector data of stray current density and AC interference voltage at each monitoring point, a stray current flow direction vector map with flow direction and amplitude intensity indicators was generated through spatial interpolation fitting, clearly marking the stray current confluence path, peak point, and current transmission direction, providing accurate field data basis for the control parameter output of the subsequent deep reinforcement learning decision model.

[0067] For example, the preset classification rules for corrosion risk level are as follows: Level 1 Low Risk: pH ≥ 4.0, sulfate concentration ≤ 200 mg / L; Level 2 Medium Risk: pH 3.0-4.0, sulfate concentration 200-500 mg / L; Level 3 High Risk: pH < 3.0, sulfate concentration > 500 mg / L.

[0068] The corrosion risk level and stray current flow vector diagram are input into the deep reinforcement learning decision model, which outputs the neutralization current amplitude and phase, as well as the mixing ratio of the drag-reducing agent A / B components.

[0069] It should be noted that the input corrosion risk level is a quantitative classification result based on soil pH and sulfate concentration. The stray current flow vector diagram includes the spatial distribution characteristics of the amplitude-phase vector of AC stray current, the amplitude-polarity vector of DC stray current, and the total stray current composite vector. After feature quantization, these two data are fused with historical soil corrosion data, historical stray current field data, historical grounding grid impedance data, and current environmental condition labels in the model state space as the complete input of the model. The output neutralization current amplitude includes the independent amplitudes of AC anti-phase cancellation current and DC suppression current. The phase is the anti-matching parameter for AC stray current, and the DC suppression current matches the corresponding polarity parameter. The output resistance-reducing agent A / B component mixing ratio is the volume ratio of polyaniline / graphene hydrogel and dihydrogen phosphate solution adapted to the current corrosion risk level, which is directly used as the execution parameter of the two-component adaptive resistance-reducing agent injection system.

[0070] The neutralizing current amplitude and phase, as well as the mixing ratio of drag-reducing agent A / B components, are determined based on priority judgment rules, and the execution actions of injecting reverse-phase canceling current or pressing in mixed drag-reducing agent are triggered.

[0071] In a specific embodiment of the present invention, the priority determination rule is configured as follows: when the absolute value of stray current density exceeds a first preset threshold, the priority of the neutralization current injection action is set to the highest level, and the programmable AC / DC integrated neutralization power supply is preferentially triggered to inject anti-phase canceling current into the grounding grid. The amplitude and phase of the anti-phase canceling current are dynamically matched according to the stray current flow vector diagram. During the execution of the neutralization current injection action, the resistance-reducing agent injection action is suspended to avoid electrochemical interference. If the continuous execution time of the neutralization current injection action exceeds a preset timeout threshold, and the chemical corrosion risk index still exceeds a second preset threshold, the control unit will forcibly trigger a resistance-reducing agent injection action once, and after the injection is completed, the priority state of the neutralization current injection is restored, and a silent observation period of not less than a preset time is entered. During this period, the forced resistance-reducing agent injection will not be triggered again to avoid system oscillation. If the neutralization current injection action is triggered again, an early warning will be issued.

[0072] It should be noted that the absolute value of stray current density refers to the absolute value of total stray current density. Total stray current density is the comprehensive value obtained by vector synthesis of AC stray current density and DC stray current density at the same monitoring node. It is a key benchmark parameter for corrosion risk assessment and neutralization current injection triggering.

[0073] When the chemical corrosion risk index exceeds the second preset threshold and the absolute value of stray current density is lower than the first preset threshold, the neutralization current injection is suspended, the priority of the resistance-reducing agent injection action is set to the highest level, the two-component grouting pump is triggered to mix the conductive polymer resistance-reducing agent and pH buffer according to the calculated ratio and then press them into the soil layer around the grounding electrode. After the resistance-reducing agent injection, a preset waiting period is performed before the neutralization current injection action is resumed. During the waiting period after the resistance-reducing agent injection, if the absolute value of stray current density is detected to exceed the preset percentage of the first preset threshold, such as 150%, the waiting period is immediately terminated and the neutralization current injection action is triggered first.

[0074] When the absolute value of stray current density and the chemical corrosion risk index are both lower than their respective preset thresholds, the current system output state is maintained, and a low-power monitoring mode is entered, where only data acquisition and health status assessment are performed.

[0075] The control unit determines the injection node and injection path of the anti-phase canceling current based on the stray current flow vector diagram, and connects to different injection nodes of the grounding grid through multiple independent output channels of the programmable AC / DC integrated neutralizing power supply to realize multi-point synchronous or time-division differentiated neutralizing current injection.

[0076] It should be noted that the method for determining the injection node and injection path of the anti-phase canceling current based on the stray current flow vector diagram is as follows:

[0077] (1) Hierarchical selection of injection nodes: Using the pre-constructed grounding grid spatial topology as a unified spatial coordinate reference, the point parameters of the stray current flow vector diagram are extracted, and the injection nodes are determined according to the following priority:

[0078] First priority: peak nodes of the busbars whose stray current density absolute value exceeds the first preset threshold.

[0079] Second priority: Key upstream and downstream nodes in the main current transmission path of stray currents.

[0080] Third priority: adjacent grounding trunk nodes that are electrically connected to the peak node.

[0081] (2) Reverse planning of injection path: The injection path is planned in the reverse direction of the main bus path marked in the stray current flow vector diagram, based on the existing grounding trunk line of the grounding grid, so that the injection path and the stray current transmission path form a spatial reverse correspondence, ensuring that after the reverse phase canceling current is injected along the injection path, it can form a full-domain offset cancellation with the target stray current.

[0082] (3) Injection mode and parameter matching: Based on the stray current phase synchronization of each injection node in the stray current flow vector diagram, the corresponding injection mode is matched: When the stray current phase difference of each target injection node is ≤ the preset phase threshold, the multi-point synchronous injection mode is adopted; when the stray current phase difference of each target injection node is > the preset phase threshold, the time-division differentiated injection mode is adopted, and the neutral current amplitude and phase corresponding to the stray current parameters of this point are matched independently for each injection node.

[0083] The main bus path refers to the core flow channel of stray current in the plant area's joint grounding grid, identified based on the stray current flow vector diagram and the grounding grid spatial topology base. The specific identification and judgment steps are as follows: using the pre-constructed grounding grid spatial topology base as a unified spatial reference, matching the current vector data of each monitoring node in the stray current flow vector diagram, and filtering out high current nodes whose stray current density absolute value is not lower than the first preset threshold.

[0084] Based on the actual electrical connection relationship of the joint grounding network, high current nodes that have the same flow direction, are spatially adjacent and electrically connected along the grounding trunk line are connected in series to form a continuous stray current transmission channel.

[0085] The stray current flux of each channel formed in series is calculated, and the continuous channel whose total stray current flux accounts for 60% or more of the total stray current flux of the corresponding grounding trunk line is finally determined as the main stray current bus path.

[0086] For example, the programmable AC / DC neutralizing power supply adopts an IGBT full-bridge topology, with a switching frequency configured at 20kHz and an output response time ≤10ms. The power supply is configured with at least four independent output channels, each of which can independently set its output voltage, current amplitude, and phase, with an output current range of 0-100A and an output voltage range of 0-50V. The control unit determines the node location where neutralizing current needs to be injected based on the stray current flow vector diagram and assigns the corresponding output channel, achieving multi-point synchronous or time-division differentiated injection. When a change in the stray current vector direction is detected, the power supply adjusts its output phase within 10ms to track it.

[0087] This invention constructs a synergistic protection system for electrochemical and chemical corrosion, achieving precise and active neutralization of stray currents and suppressing electrochemical corrosion. At the same time, the linkage resistance-reducing agent injection system is adapted to the soil chemical corrosion state, achieving synergistic prevention and control of dual corrosion. This avoids the hydrogen evolution and grounding grid hydrogen embrittlement problems caused by overprotection of traditional cathodic protection systems, and reduces the risk of electric arc ignition in flammable and explosive plant areas.

[0088] For the grounding grid after injecting anti-phase current or pressing in mixed resistance-reducing agent, real-time data from a multi-parameter electrochemical sensor array is continuously acquired for closed-loop feedback, and the output parameters of the programmable AC / DC integrated neutralizing power supply and the grouting frequency of the dual-component adaptive resistance-reducing agent injection system are dynamically adjusted.

[0089] In a specific embodiment of the present invention, the control unit is further configured to continuously acquire real-time data from a multi-parameter electrochemical sensor array for the grounding grid after injecting an anti-phase canceling current or pressing in a mixed resistance-reducing agent. The real-time data includes the soil pH value, sulfate concentration, stray current density, and potential difference between the grounding grid and the surrounding reference electrode after injection.

[0090] When it is determined that the neutralization current injection causes the grounding grid potential to deviate negatively beyond the preset hydrogen evolution protection threshold, the control unit will adaptively reduce the output current amplitude of the programmable AC / DC integrated neutralization power supply or adjust the phase to avoid hydrogen evolution caused by over-protection, thereby preventing hydrogen embrittlement fracture of the grounding electrode.

[0091] The power frequency grounding resistance and contact potential difference of the grounding grid are calculated based on the real-time data. The power frequency grounding resistance is measured online using the three-electrode method, and the contact potential difference is measured using the potential drop method.

[0092] Specifically, the three-electrode method for online measurement of power frequency grounding resistance is as follows: taking the chemical plant area's joint grounding grid as the grounding body under test, in an interference-free area outside the geometric center of the grounding grid, auxiliary current electrodes and auxiliary voltage electrodes are set up in a straight-line arrangement of current electrode-grounding body under test-voltage electrode. The electrode spacing is set to 5-10 times the maximum diagonal length of the grounding grid, depending on the actual laying range of the grounding grid. The control unit triggers the programmable AC / DC integrated neutralizing power supply to output power frequency test current, which is injected into the ground through the current electrode. At the same time, the power frequency potential difference between the voltage electrodes is collected through a multi-parameter electrochemical sensor array and the auxiliary voltage electrode. Based on Ohm's law, the power frequency grounding resistance of the grounding grid is calculated online. The calculation formula is: R=U / I, where R is the power frequency grounding resistance, U is the potential difference between the voltage electrodes, and I is the injected power frequency test current.

[0093] The online measurement method of contact potential difference using the potential drop method is as follows: along the direction of the grounding electrode of the combined grounding grid, measuring electrodes are arranged at preset intervals on the surface of the grounding electrode and in the soil. At the same time, a preset reference electrode around the grounding grid is used as a potential reference. The control unit collects the potential value between the measuring electrode and the reference electrode and the leakage current data of the grounding electrode in real time through a multi-parameter electrochemical sensor array. Based on the principle of the potential drop method, the potential difference value from the surface of the grounding electrode to the preset safe distance is calculated, which is the contact potential difference. The measurement data is uploaded to the control unit in real time to participate in the comprehensive health index calculation.

[0094] The power frequency grounding resistance and contact potential difference are compared with a preset safety threshold to generate a comprehensive health index. The comprehensive health index is a weighted fusion value of the power frequency grounding resistance safety margin, the contact potential difference safety margin, and the corrosion risk inhibition rate.

[0095] It should be noted that the power frequency grounding resistance safety margin = (power frequency grounding resistance preset safety threshold - measured value) / preset safety threshold, the contact potential difference safety margin = (contact potential difference preset safety threshold - measured value) / preset safety threshold, and the corrosion risk inhibition rate = (corrosion risk index before regulation - measured corrosion risk index after regulation) / corrosion risk index before regulation; the weighted fusion formula of the three is: comprehensive health index = α × grounding resistance safety margin + β × contact potential difference safety margin + γ × corrosion risk inhibition rate, where α, β, and γ are weight coefficients, and α + β + γ = 1, with the basic weight configuration being α = 0.4, β = 0.3, and γ = 0.3.

[0096] It should be noted that the corrosion risk index V is the annual corrosion risk index of the grounding electrode in the current soil environment, including two dimensions: chemical corrosion risk index and electrochemical corrosion risk index, with units of mm / a. It is calculated using real-time data collected from soil pH, sulfate concentration, and stray current density by a multi-parameter electrochemical sensor array. The calculation formula is: V = K × (a × |7.0 - pH| + b × C + c × J); where K × (a × |7.0 - pH| + b × C) represents the chemical corrosion risk index, K is the grounding electrode material correction coefficient (e.g., 0.008 for copper grounding electrodes and 0.012 for steel grounding electrodes, pre-stored in the control unit), pH is the measured soil pH value, 7.0 is the reference pH value for non-corrosive neutral soil, C is the measured sulfate concentration (mg / L), and J is the measured stray current density (mA / m²). 2 a, b, and c are the weighting coefficients of the corresponding corrosion influencing factors. All coefficients are pre-stored in the control unit. In specific implementation, the corrosion risk inhibition rate is calculated based on the arithmetic mean of the total corrosion risk index within 1 hour before the control action is executed, and the real-time total corrosion risk index after the control action is executed is the measured value.

[0097] The output parameters of the programmable AC / DC integrated neutralizing power supply and the grouting frequency of the dual-component adaptive resistance-reducing agent injection system are dynamically adjusted based on the comprehensive health index. When the comprehensive health index is lower than the first health threshold, the neutralizing current output intensity is increased, and when the comprehensive health index is lower than the second health threshold, the grouting frequency is increased.

[0098] It should be noted that the second health threshold is less than the first health threshold, indicating that the grounding grid is in worse health and has a higher risk level. Increasing the neutralizing current output intensity specifically involves the control unit increasing the current amplitude of the corresponding output channel of the programmable AC / DC integrated neutralizing power supply according to a preset gradient, based on the stray current flow vector diagram. Simultaneously, the output phase is dynamically fine-tuned to match the real-time stray current characteristics. The single amplitude increase gradient is 10%-20% of the current output value, and the maximum does not exceed the rated output current of the power supply. Increasing the grouting frequency specifically involves the control unit increasing the grouting frequency of the dual-component adaptive resistance-reducing agent injection system according to a preset level. The grouting frequency level is linked to the mixing ratio of the A / B components of the resistance-reducing agent. A single increase level is 1-2 levels, and the grouting volume of the grouting pump remains constant. The increase in the number of grouting operations per unit time increases the amount of resistance-reducing agent injected, ensuring the modification effect of the soil layer around the grounding electrode.

[0099] The dual-component grouting pump is set with an upper limit for the cumulative grouting volume per unit time. The upper limit of the cumulative grouting volume is calibrated according to the porosity and permeability coefficient of the soil around the grounding electrode. When the cumulative grouting volume reaches the preset upper limit, the grouting action is paused and an early warning is triggered to avoid the risk of over-injection.

[0100] In a specific embodiment of the present invention, the deep reinforcement learning decision model running in the control unit has a state space that includes historical soil corrosivity data, historical stray current field data, historical grounding grid impedance data, and current environmental condition labels. The current environmental condition labels include seasonal temperature and humidity ranges and leakage risk levels in chemical production areas.

[0101] Its operating range includes neutral current amplitude settings, phase settings, and resistance-reducing agent component mixing ratio settings.

[0102] Its reward function is set as a weighted combination of the reduction in grounding resistance, the suppression of corrosion risk index, and the energy consumption of neutralizing current, wherein the weight coefficient of the reduction in grounding resistance increases adaptively with the degree to which the grounding resistance deviates from the target value.

[0103] It should be noted that the training phase of the deep reinforcement learning decision model is completed in an offline environment.

[0104] In one specific embodiment, seasonal temperature and humidity ranges are divided into three levels according to the operating conditions of the chemical plant area: low temperature and low humidity (≤15℃, ≤60%), normal temperature and humidity (15-35℃, 60%-80%), and high temperature and high humidity (>35℃, >80%). Leakage risk levels are divided into three levels: low, medium, and high according to the probability of media leakage. The action space levels are matched with the system hardware: neutralizing current amplitude is divided into 10 levels from 0-100A, phase is divided into 12 levels from 0-360°, and the A / B mixing ratio of resistance reducing agent is divided into 8 levels from 10:1 to 50:1. The basic weights of the reward function are: grounding resistance reduction 0.5, corrosion risk index suppression 0.3, and neutralizing current energy consumption 0.2. For every 10% increase in grounding resistance deviating from the target value, its weight coefficient adaptively increases by 0.1. Offline training uses the DQN algorithm, with 3 years of historical monitoring data from the plant area as the training set. A model loss value ≤0.05 is considered convergent.

[0105] In a specific embodiment of the present invention, the power grounding grid adaptive soil environment grounding system further includes: a remote monitoring platform connected to the control unit via industrial Ethernet or wireless communication.

[0106] The control unit uploads the comprehensive health index, corrosion risk level, stray current field dynamic spectrum, and historical action records of the neutralization power supply and grouting system to the remote monitoring platform in real time.

[0107] The remote monitoring platform is used to generate a grounding system health status report, draw a spatiotemporal evolution trend diagram of corrosion risk and stray current field, and receive remote control commands from operation and maintenance personnel. The remote control commands include forced start of neutral current injection, forced start of resistance reducing agent injection, adjustment of priority judgment rule parameters, and execution of system self-test.

[0108] This invention constructs a fully closed-loop adaptive control system, dynamically adjusting the neutral current output parameters and the grouting frequency of the resistance-reducing agent to achieve adaptive closed-loop control of the grounding system; at the same time, it realizes real-time visual monitoring, remote management and control and full-cycle health assessment of the grounding grid status through a remote monitoring platform, which can identify corrosion risk hotspots and stray current convergence paths in advance, greatly reduce the probability of grounding grid failure, and ensure long-term safe production in chemical plant areas.

[0109] Reference Figure 2 As shown, the second aspect of the present invention provides a method for implementing an adaptive soil environment grounding system using a power grounding grid, comprising: ST1, acquiring soil pH, sulfate concentration, stray current density and AC interference voltage data characteristics in real time from a multi-parameter electrochemical sensor array, and constructing a dynamic spectrum of soil corrosivity and stray current field.

[0110] ST2. Feature extraction and correlation analysis are performed on the dynamic spectrum of soil corrosivity and stray current field to identify corrosion risk hotspots and stray current confluence paths, and to generate a vector diagram of corrosion risk level and stray current flow direction.

[0111] ST3. Input the corrosion risk level and stray current flow vector diagram into the deep reinforcement learning decision model, and output the neutralization current amplitude and phase, as well as the mixing ratio of the drag-reducing agent A / B components.

[0112] ST4. Based on the priority determination rules, the amplitude and phase of the neutralizing current and the mixing ratio of the drag-reducing agent A / B components are determined, and the execution action of injecting the reverse-phase canceling current or pressing in the mixed drag-reducing agent is triggered.

[0113] ST5. For the grounding grid after injecting the reverse-phase canceling current or pressing in the mixed resistance-reducing agent, continuously acquire real-time data from the multi-parameter electrochemical sensor array for closed-loop feedback, and dynamically adjust the output parameters of the programmable AC / DC integrated neutralizing power supply and the grouting frequency of the dual-component adaptive resistance-reducing agent injection system.

[0114] The above description is merely an exemplary embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

[0115] In this invention, all calculation formulas follow the principle of dimensional consistency. Through mathematical standardization methods such as normalization, dimensionless parameter conversion, and unit system unification, different physical quantities are converted into unitless standard values ​​or superimposed parameters of the same dimension, eliminating the interference of dimensional differences on the calculation logic and ensuring the rationality of the calculation process and the accuracy of the results.

[0116] It should also be added that the various preset thresholds described in this invention, including the first preset threshold, the second preset threshold, the first health threshold, the second health threshold, the preset phase threshold, and the preset low liquid level threshold, are set based on historical monitoring data of the joint grounding grid operation in the chemical plant area, corrosion and fault cases, and a large number of field experiments and simulation test results. At the same time, they are combined with the experience of experts in the field of power grounding grids, and comprehensively consider factors such as the actual soil operating environment of the grounding grid, the design life of key components of the grounding body, and electrical performance indicators. The various thresholds are calibrated, which has a solid scientific basis and practical operability. Moreover, the threshold setting and calibration method is relatively mature in the existing technology, and will not be elaborated here.

[0117] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0118] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0119] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of protection of the claims.

[0120] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. A power grid adaptive soil environment grounding system, characterized in that, include: A multi-parameter electrochemical sensor array embedded in key nodes of the grounding grid; A control unit that communicates with a multi-parameter electrochemical sensor array; A programmable AC / DC integrated neutralizing power supply electrically connected to the control unit, wherein the output terminal of the programmable AC / DC integrated neutralizing power supply is electrically connected to the grounding grid; A two-component adaptive drag-reducing agent injection system connected to a control unit; The control unit is configured to: Real-time data characteristics of soil pH, sulfate concentration, stray current density and AC interference voltage were acquired from a multi-parameter electrochemical sensor array to construct a dynamic spectrum of soil corrosivity and stray current field. Feature extraction and correlation analysis were performed on the dynamic spectrum of soil corrosivity and stray current field to identify corrosion risk hotspots and stray current confluence paths, and to generate a vector map of corrosion risk level and stray current flow direction. Input the corrosion risk level and stray current flow vector diagram into the deep reinforcement learning decision model, and output the neutralization current amplitude and phase, as well as the mixing ratio of the drag-reducing agent A / B components; The neutralizing current amplitude and phase, as well as the mixing ratio of the drag-reducing agent A / B components, are determined based on the priority determination rules, and the execution actions of injecting the reverse-phase canceling current or pressing in the mixed drag-reducing agent are triggered. For the grounding grid after injecting anti-phase current or pressing in mixed resistance-reducing agent, real-time data from a multi-parameter electrochemical sensor array is continuously acquired for closed-loop feedback, and the output parameters of the programmable AC / DC integrated neutralizing power supply and the grouting frequency of the dual-component adaptive resistance-reducing agent injection system are dynamically adjusted.

2. The adaptive soil environment grounding system for power grounding grid according to claim 1, characterized in that, The multi-parameter electrochemical sensor array includes: Used to measure soil pH Electrode, the The electrodes employ a solid-state electrochemical structure; An ion-selective electrode for measuring sulfate concentration, wherein the ion-selective electrode is a solid-state contact type and the internal reference solution is encapsulated in a corrosion-resistant housing; A composite current / voltage sensor for measuring stray current density and AC interference voltage, wherein the composite current / voltage sensor is integrated and packaged with a wideband Rogowski coil, a ring fluxgate and a differential voltage probe; The Electrodes, ion-selective electrodes, and composite current / voltage sensors are co-located within the same sensor housing at key nodes of the grounding grid, forming a multi-parameter in-situ monitoring unit. Ion permeation pores are opened on the surface of the sensor housing and filled with conductive porous ceramic medium.

3. The adaptive soil environment grounding system for power grounding grid according to claim 1, characterized in that, The priority determination rule is configured as follows: When the absolute value of stray current density exceeds the first preset threshold, the priority of the neutralization current injection action is set to the highest level, and the programmable AC / DC integrated neutralization power supply is preferentially triggered to inject anti-phase cancellation current into the grounding grid. The amplitude and phase of the anti-phase cancellation current are dynamically matched according to the stray current flow vector diagram. During the execution of the neutralization current injection action, the resistance reducing agent injection action is suspended to avoid electrochemical interference. If the continuous execution time of the neutralization current injection action exceeds the preset timeout threshold and the chemical corrosion risk index still exceeds the second preset threshold, the control unit will forcibly trigger a resistance reducing agent injection action and restore the priority state of neutralization current injection after the injection is completed. When the chemical corrosion risk index exceeds the second preset threshold and the absolute value of stray current density is lower than the first preset threshold, the neutralization current injection is suspended, the priority of the resistance reducing agent injection action is set to the highest level, the two-component grouting pump is triggered to mix the conductive polymer resistance reducing agent and pH buffer according to the calculated ratio and then press them into the soil layer around the grounding body. After the resistance reducing agent injection, a preset waiting period is performed before the neutralization current injection action is resumed. During the waiting period after the resistance reducing agent injection, if the absolute value of stray current density is detected to exceed the preset percentage of the first preset threshold, the waiting is immediately terminated and the neutralization current injection action is triggered first. When the absolute value of stray current density and the chemical corrosion risk index are both lower than their respective preset thresholds, the current system output state is maintained, and a low-power monitoring mode is entered, where only data acquisition and health status assessment are performed.

4. The adaptive soil environment grounding system for power grounding grid according to claim 1, characterized in that, The programmable AC / DC neutralizing power supply adopts an IGBT full-bridge topology, and its output response time is configured to be ≤ a preset response time threshold. The control unit determines the injection node and injection path of the anti-phase canceling current based on the stray current flow vector diagram, and connects to different injection nodes of the grounding grid through multiple independent output channels of the programmable AC / DC integrated neutralizing power supply to realize multi-point synchronous or time-division differentiated neutralizing current injection.

5. The adaptive soil environment grounding system for power grounding grid according to claim 1, characterized in that, The two-component adaptive drag-reducing agent injection system includes: Tanks A and B are used to store conductive polymer drag-reducing agent matrix and pH buffer, respectively. Both tanks A and B are equipped with liquid level monitoring sensors and temperature compensation heating jackets. A two-component grouting pump is connected to storage tank A and storage tank B respectively. The two-component grouting pump adopts a servo motor driven proportional plunger structure, and the stroke speed ratio of the two plungers is adjusted in real time according to the mixing ratio of drag-reducing agent A / B components. A liquid injection pipe is pre-embedded along the direction of the grounding body and is equipped with a micro-hole release port. The liquid injection pipe is symmetrically arranged along both sides of the grounding body, and the micro-hole release port faces the surface of the grounding body. The two-component grouting pump extracts the components from tanks A and B according to the mixing ratio of the drag-reducing agent A / B components. After being mixed evenly by a static mixer, the mixture is injected into the soil layer around the grounding electrode through the injection pipeline, forming a continuous conductive modification zone around the grounding electrode.

6. The adaptive soil environment grounding system for power grounding grid according to claim 5, characterized in that, The conductive polymer drag-reducing agent matrix is ​​a polyaniline / graphene hydrogel, and the mass ratio of polyaniline to graphene in the polyaniline / graphene hydrogel is adjustable according to a preset range to achieve synergistic optimization of conductivity and viscosity; the pH buffer is a dihydrogen phosphate solution, and the concentration of the dihydrogen phosphate solution is dynamically adjusted according to the initial pH value and the target pH value of the soil.

7. The adaptive soil environment grounding system for power grounding grid according to claim 1, characterized in that, The control unit is further configured to: For the grounding grid after injecting reverse-phase canceling current or pressing in mixed resistance-reducing agent, real-time data of a multi-parameter electrochemical sensor array is continuously acquired. The real-time data includes soil pH value, sulfate concentration, stray current density and potential difference between the grounding grid and the surrounding reference electrode after injection. The power frequency grounding resistance and contact potential difference of the grounding grid are calculated based on the real-time data. The power frequency grounding resistance is measured online using the three-electrode method, and the contact potential difference is measured using the potential drop method. The power frequency grounding resistance and contact potential difference are compared with a preset safety threshold to generate a comprehensive health index. The comprehensive health index is a weighted fusion value of the power frequency grounding resistance safety margin, the contact potential difference safety margin, and the corrosion risk inhibition rate. The output parameters of the programmable AC / DC integrated neutralizing power supply and the grouting frequency of the dual-component adaptive resistance-reducing agent injection system are dynamically adjusted based on the comprehensive health index. When the comprehensive health index is lower than the first health threshold, the neutralizing current output intensity is increased, and when the comprehensive health index is lower than the second health threshold, the grouting frequency is increased.

8. The adaptive soil environment grounding system for power grounding grid according to claim 1, characterized in that, The deep reinforcement learning decision model running in the control unit has a state space that includes historical soil corrosivity data, historical stray current field data, historical grounding grid impedance data, and current environmental condition labels. The current environmental condition labels include seasonal temperature and humidity ranges and leakage risk levels in chemical production areas. Its operating range includes neutral current amplitude settings, phase settings, and resistance-reducing agent component mixing ratio settings; Its reward function is set as a weighted combination of the reduction in grounding resistance, the suppression of corrosion risk index, and the energy consumption of neutralizing current, wherein the weight coefficient of the reduction in grounding resistance increases adaptively with the degree to which the grounding resistance deviates from the target value.

9. The adaptive soil environment grounding system for power grounding grid according to claim 1, characterized in that, Also includes: A remote monitoring platform that connects to the control unit via industrial Ethernet or wireless communication. The control unit uploads the comprehensive health index, corrosion risk level, stray current field dynamic spectrum, and historical action records of the neutralizing power supply and grouting system to the remote monitoring platform in real time. The remote monitoring platform is used to generate a grounding system health status report, draw a spatiotemporal evolution trend diagram of corrosion risk and stray current field, and receive remote control commands from operation and maintenance personnel. The remote control commands include forced start of neutral current injection, forced start of resistance reducing agent injection, adjustment of priority judgment rule parameters, and execution of system self-test.

10. A method performed using the adaptive soil environment grounding system for power grounding grids according to any one of claims 1-9, characterized in that, include: ST1. Real-time data characteristics of soil pH, sulfate concentration, stray current density and AC interference voltage are obtained from a multi-parameter electrochemical sensor array to construct a dynamic spectrum of soil corrosivity and stray current field. ST2. Feature extraction and correlation analysis are performed on the dynamic spectrum of soil corrosivity and stray current field to identify corrosion risk hotspots and stray current confluence paths, and generate a vector diagram of corrosion risk level and stray current flow direction. ST3. Input the corrosion risk level and stray current flow vector diagram into the deep reinforcement learning decision model, and output the neutralization current amplitude and phase, as well as the mixing ratio of the A / B components of the resistance reducing agent; ST4. Based on the priority determination rule, determine the amplitude and phase of the neutralizing current and the mixing ratio of the drag-reducing agent A / B components, and trigger the execution action of injecting the reverse phase canceling current or pressing in the mixed drag-reducing agent. ST5. For the grounding grid after injecting the reverse-phase canceling current or pressing in the mixed resistance-reducing agent, continuously acquire real-time data from the multi-parameter electrochemical sensor array for closed-loop feedback, and dynamically adjust the output parameters of the programmable AC / DC integrated neutralizing power supply and the grouting frequency of the dual-component adaptive resistance-reducing agent injection system.

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