Power cable grounding resistance management and control system and method based on Internet of Things

Abstract

The invention discloses a power cable grounding resistance management and control system and method based on the Internet of Things, and relates to the technical field of the Internet of Things. False alarm records of power cable grounding resistance are obtained, environmental characteristics in a target time period are collected, the false alarm records are classified according to the environmental characteristics, each category is used as a false alarm mode, and the false alarm mode is used as a false alarm mode. The method comprises the following steps: collecting the change characteristic of an environmental parameter and the change characteristic of a grounding resistance value of a certain false alarm mode, obtaining the change characteristic of the grounding resistance corresponding to the change characteristic of the environmental parameter, and establishing a relation model of the change quantity of the environmental parameter and the change quantity of the grounding resistance through a characteristic matrix; calculating a dynamic relation coefficient between the environmental parameters and the grounding resistance, collecting environmental characteristics in a current time period, matching a false alarm mode, adjusting a dynamic threshold value of the grounding resistance according to the dynamic relation coefficient, and filtering alarm information when a sensor return value of a grounding resistance value does not exceed the dynamic threshold value.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a power cable grounding resistance control system and method based on the Internet of Things. Background Art

[0002] In IoT-based remote monitoring systems for power cable grounding resistance, false alarms have become a key technical bottleneck hindering their practical application. Existing monitoring systems generally utilize a "sensor array + wireless transmission" architecture, deploying non-contact current sensing clamps or high-precision grounding resistance testers for data collection. However, in practice, these systems suffer from extremely high false alarm rates. For example, changes in the natural environment, fluctuations in ambient temperature and humidity, and electromagnetic interference can all lead to false alarms of grounding resistance values. Furthermore, many systems still rely on static thresholds rather than dynamic models, resulting in a higher probability of false alarms when environmental changes cause sudden changes in soil conductivity. Summary of the Invention

[0003] The purpose of the present invention is to provide a power cable grounding resistance control system and method based on the Internet of Things to solve the problems raised in the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for controlling the grounding resistance of a power cable based on the Internet of Things, the method comprising: Step S100: Acquire false alarm records of the grounding resistance of the power cable, set a time period including the false alarm records as a target time period, collect environmental features in the target time period, classify the false alarm records according to the environmental features, and set each category as a false alarm pattern; Step S200: collecting the change characteristics of the environmental parameters and the change characteristics of the ground resistance value of a certain false alarm mode; Step S300: obtaining a ground resistance variation characteristic corresponding to a variation characteristic of a certain environmental parameter, establishing a relationship model between the variation of the environmental parameter and the variation of the ground resistance through a characteristic matrix, and calculating a dynamic relationship coefficient between the environmental parameter and the ground resistance; Step S400: Collect environmental characteristics in the current time period, match the false alarm pattern, adjust the dynamic threshold of the ground resistance according to the dynamic relationship coefficient, and filter the alarm information when the sensor return value of the ground resistance value does not exceed the dynamic threshold.

[0005] Furthermore, step S100 includes: Step S101: collecting ground resistance values ​​and environmental data of power equipment related to the power cable in real time through a sensor array deployed on a power cable ground resistance monitoring node; Step S102: comparing the ground resistance value with a static threshold of resistance value; generating a false alarm record when the ground resistance value triggers an alarm but is manually verified to be a false alarm; and obtaining the alarm strategy triggered when the false alarm is generated from the false alarm record; Step S103: setting a time period of length Tc, and defining a time period range including time false alarm records as a target time period; Step S104: collecting environmental characteristics within a target time period, wherein the environmental characteristics include temperature and humidity, electromagnetic interference intensity, and soil conductivity; Step S105: collecting characteristic values ​​of environmental data and alarm strategies in false alarm records as input parameters, performing cluster analysis on the input parameters, and dividing environmental characteristics and corresponding alarm strategies into several categories, each category corresponding to a false alarm pattern.

[0006] Furthermore, step S200 includes: Step S201: Divide the target time period into n unit intervals, and obtain the change amount of each environmental parameter and the change amount of the ground resistance value in each unit interval; Step S202: Aggregate the changes in the environmental parameters and the ground resistance values ​​in each unit interval to obtain a dynamic change vector corresponding to each unit interval; Step S203: Gather the dynamic change vectors of n unit intervals to obtain the dynamic change matrix D, D = [d1, d2, d3, ..., d n ] T , where d1, d2, d3, ... and d n Represent the dynamic change vectors of the 1st, 2nd, 3rd, ... and nth unit intervals respectively; Step S204: Obtain the ground resistance value change of each unit interval and obtain the resistance value change matrix R, R = [r1, r2, r3, ..., r n ] T , where r1, r2, r3, ... and r n They represent the changes in the grounding resistance values ​​in the first, second, third, ... and nth unit intervals respectively.

[0007] By dividing the target time period into multiple unit intervals and collecting the changes in environmental parameters and ground resistance values ​​in each interval, we can deeply explore the changing characteristics of false alarm patterns at different time stages, which helps to more comprehensively grasp the dynamic characteristics of false alarms.

[0008] Furthermore, step S300 includes: Step S301: Set the dynamic relationship coefficient matrix B, B = [β0, β1, β2, β3, ..., β m ]T , where β1, β2, β3,…and β m They represent the dynamic relationship coefficients corresponding to the first, second, third, ... and mth environmental features respectively, and β0 represents the bias coefficient; Step S302: Obtain the augmented matrix X of the dynamically changing matrix D and establish the matrix equation: B=(X T X) -1 X T R, solve for the dynamic relationship coefficient.

[0009] By dividing the target time period into multiple unit intervals and collecting the changes in environmental parameters and ground resistance values ​​within each interval, we can deeply explore the changing characteristics of false alarm patterns at different time stages, helping to more comprehensively understand the dynamic characteristics of false alarms. Aggregating the dynamic change vectors to obtain the dynamic change matrix D and the resistance value change matrix R provides key data support for the subsequent establishment of a dynamic relationship model between environmental parameters and grounding resistance, enabling the model to more accurately reflect the actual changes.

[0010] Furthermore, step S400 includes: Step S401: Recording a time period of a current time length Tc as the current time period, collecting environmental data of power equipment related to the power cable in the current time period, collecting characteristic values ​​of the environmental data, recording a false alarm pattern corresponding to the matching characteristic values ​​as a target false alarm pattern, and recording an alarm strategy included in the target false alarm pattern as a target alarm strategy; Step S402: Calculate the fluctuation threshold R of the ground resistance value th , , where β i It represents the dynamic relationship coefficient corresponding to the i-th environmental feature, and Ui represents the change in the value of the i-th environmental feature in the unit interval; Step S403: Obtain the static threshold Rs of the resistance value and calculate the dynamic boundary, wherein the dynamic boundary includes the upper boundary Gup and the lower boundary Gdown, Gup=max(Rs, Rs+R th ), Gdown=min(Rs, Rs+R th ), max represents the maximum value function, min represents the minimum value function; Step S404: Obtain the sensor return value R0 of the power cable grounding resistance value. When R0∈(Gdown, Gup), obtain the alarm information of the abnormal current power cable resistance value. When the alarm information is the alarm information generated by triggering the target alarm strategy, prevent the alarm information from being sent.

[0011] Adjusting the dynamic threshold of ground resistance according to the dynamic relationship coefficient and filtering the alarm information can effectively avoid false alarms caused by changes in environmental factors, improve the accuracy of alarm information, and reduce unnecessary workload for operation and maintenance personnel.

[0012] In order to better implement the above method, a power cable grounding resistance control system based on the Internet of Things is also proposed; The system includes: historical data management module, feature management module, relationship model management module and alarm filtering module.

[0013] Furthermore, the historical data management module includes: a sensor management unit, an alarm record management unit, and a cluster analysis unit. The sensor management unit is used to manage the sensors that collect environmental parameters and ground resistance values ​​through networking; the alarm record management unit is used to obtain the alarm strategy triggered when a false alarm is generated; and the cluster analysis unit is used to perform cluster analysis on the characteristic values ​​of the environmental data and the alarm strategy in the false alarm record. Furthermore, the feature management module includes: an interval management unit, an environmental parameter management unit, a resistance value management unit, and a matrix management unit, wherein the interval management unit is used to manage the unit interval in the target time period, the environmental parameter management unit is used to manage the change of the environmental parameter in the unit interval, the resistance value management unit is used to manage the change of the ground resistance value in the unit interval, and the matrix management unit is used to manage the dynamic change matrix and the resistance value change matrix; Furthermore, the relationship model management module includes: a coefficient management unit and a coefficient calculation unit, wherein the coefficient management unit is used to manage the dynamic relationship coefficient matrix, and the coefficient calculation unit is used to solve the dynamic relationship coefficient.

[0014] Furthermore, the alarm filtering module includes: an alarm strategy matching unit, a fluctuation threshold management unit, a dynamic boundary management unit and an alarm judgment unit, wherein the alarm strategy matching unit is used to collect environmental data of relevant power equipment of the current power cable and match the alarm strategy of the current time period, the fluctuation threshold management unit is used to calculate the fluctuation threshold of the grounding resistance value, the dynamic boundary management unit is used to manage the dynamic boundary, and the alarm judgment unit is used to filter the alarm information that meets the filtering conditions.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention accurately identifies the false alarm patterns caused by different environmental factors through the collection, classification and analysis of false alarm records, establishes a dynamic relationship model based on the changing characteristics of environmental parameters, and calculates the dynamic relationship coefficient, thereby adjusting the dynamic threshold of the grounding resistance. This dynamic adjustment mechanism enables the system to better adapt to environmental changes, such as temperature and humidity fluctuations, electromagnetic interference changes, and changes in soil conductivity, and avoids false alarms or missed alarms caused by fixed thresholds. The environmental characteristics in the current time period are collected and matched in real time, and the false alarm patterns corresponding to the current environmental characteristics are quickly identified, and the alarm strategy is adjusted accordingly. This enables the system to flexibly respond to various complex operating environments and enhances the system's adaptability and environmental perception capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a structural schematic diagram of a power cable grounding resistance control system based on the Internet of Things of the present invention; Figure 2 The figure is a flow chart of a method for controlling the grounding resistance of a power cable based on the Internet of Things according to the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution, a method for controlling the grounding resistance of a power cable based on the Internet of Things: Step S100: Acquire false alarm records of the grounding resistance of the power cable, set a time period including the false alarm records as a target time period, collect environmental features in the target time period, classify the false alarm records according to the environmental features, and set each category as a false alarm pattern; Wherein, step S100 includes: Step S101: collecting ground resistance values ​​and environmental data of power equipment related to the power cable in real time through a sensor array deployed on a power cable ground resistance monitoring node; Step S102: comparing the ground resistance value with a static threshold of resistance value; generating a false alarm record when the ground resistance value triggers an alarm but is manually verified to be a false alarm; and obtaining the alarm strategy triggered when the false alarm is generated from the false alarm record; Step S103: setting a time period of length Tc, and defining a time period range including time false alarm records as a target time period; Step S104: collecting environmental characteristics within a target time period, the environmental characteristics including temperature and humidity, electromagnetic interference intensity, and soil conductivity; Step S105: collecting characteristic values ​​of environmental data and alarm strategies in false alarm records as input parameters, performing cluster analysis on the input parameters, and dividing environmental characteristics and corresponding alarm strategies into several categories, each category corresponding to a false alarm pattern.

[0019] In the embodiment, environmental parameters when a ground cable resistance value false alarm occurs are collected, including temperature (T / °C), humidity (H / %RH), electromagnetic interference (EMI / V / m), and soil conductivity (C / mS / m), and an alarm tag is set according to the alarm condition that triggers the alarm; When a false alarm occurs, the environmental data of the relevant power equipment is sampled, and 10 pieces of data are collected and represented by a1~a10 respectively; a1: T1=28, H1=85, EMI1=12, C1=15, alarm label 1; a2: T2=28, H2=86, EMI2=11, C2=14, alarm label 1; a3: T3=32, H3=60, EMI3=25, C3=20, alarm label 2; a4: T4=32, H4=58, EMI4=24, C4=19, alarm label 2; a5: T5=25, H5=90, EMI5=8, C5=12, alarm label 1; a6: T6=25, H6=92, EMI6=7, C6=11, alarm label 1; a7: T7=30, H7=70, EMI7=30, C7=22, alarm label 2; a8: T8=30, H8=72, EMI8=29, C8=23, alarm label 2; a9: T9=27, H9=88, EMI9=9, C9=13, alarm label 1; a10: T10=27, H10=89, EMI10=10, C10=12, alarm label 1; The 10 data items are classified using the K-means algorithm, where a1, a5, and a9 are classified into the first category, and a3 and a7 are classified into the second category.

[0020] In the first category, for alarm tag 1, the relative humidity is greater than or equal to 85% RH, the electromagnetic interference is less than 10 V / m, and the soil conductivity is less than 15mS / m; In the second category, for alarm tag 2, the temperature is greater than or equal to 30°C, the electromagnetic interference is greater than 20 V / m, and the soil conductivity is greater than 20mS / m.

[0021] Step S200: collecting the change characteristics of the environmental parameters and the change characteristics of the ground resistance value of a certain false alarm mode; Wherein, step S200 includes: Step S201: Divide the target time period into n unit intervals, and obtain the change amount of each environmental parameter and the change amount of the ground resistance value in each unit interval; Step S202: Aggregate the changes in the environmental parameters and the ground resistance values ​​in each unit interval to obtain a dynamic change vector corresponding to each unit interval; Step S203: Gather the dynamic change vectors of n unit intervals to obtain the dynamic change matrix D, D = [d1, d2, d3, ..., d n ] T , where d1, d2, d3, ... and d n Represent the dynamic change vectors of the 1st, 2nd, 3rd, ... and nth unit intervals respectively; Step S204: Obtain the ground resistance value change of each unit interval and obtain the resistance value change matrix R, R = [r1, r2, r3, ..., r n ] T , where r1, r2, r3, ... and r n They represent the changes in the grounding resistance values ​​in the first, second, third, ... and nth unit intervals respectively.

[0022] In the embodiment, the target time period is divided into five unit intervals, denoted as t1, t2, t3, t4, and t5, and the changes in environmental parameters in each unit interval are collected, including the temperature change ΔT (°C), humidity change ΔH (%RH), soil conductivity change ΔC (mS / m), and electromagnetic interference change ΔEMI (V / m); The dynamic change vector d1 corresponding to the unit interval t1, d1=[2,5,1,1]; The dynamic change vector d2 corresponding to the unit interval t2, d2 = [3, -2, 1, -2]; The dynamic change vector d3 corresponding to the unit interval t3, d3 = [-7, -8, -3, +3]; The dynamic change vector d4 corresponding to the unit interval t4 is d4=[+12,+15,+4,-2]; The dynamic change vector d5 corresponding to the unit interval t5, d5 = [-2, -3, -1, 1]; Establish a dynamic change matrix D, ; Get the change of ground resistance value in each unit interval r1=-1, r2=-1, r3=4, r4=-5, r5=1; Establish the resistance value change matrix R, .

[0023] Step S300: obtaining a ground resistance variation characteristic corresponding to a variation characteristic of a certain environmental parameter, establishing a relationship model between the variation of the environmental parameter and the variation of the ground resistance through a characteristic matrix, and calculating a dynamic relationship coefficient between the environmental parameter and the ground resistance; Wherein, step S300 includes: Step S301: Set the dynamic relationship coefficient matrix B, B = [β0, β1, β2, β3, ..., β m ] T , where β1, β2, β3,…and β m They represent the dynamic relationship coefficients corresponding to the first, second, third, ... and mth environmental features respectively, and β0 represents the bias coefficient; Step S302: Obtain the augmented matrix X of the dynamically changing matrix D and establish the matrix equation: B=(X T X) -1 X T R, solve for the dynamic relationship coefficient.

[0024] Establish the augmented matrix X, X=[1,D], and substitute the dynamic change matrix to obtain: , according to the matrix equation B=(X T X) -1 X T R, where ; After calculation, we get β0=0.82, β1=-0.45, β2=-0.21, β3=-1.33, and β4=0.28, where the unit of β0 is Ω, the unit of β1 is Ω / ℃, the unit of β2 is Ω / %RH, the unit of β3 is Ω / mS / m, and the unit of β4 is Ω / V / m Step S400: collecting environmental characteristics in the current time period, matching the false alarm pattern, adjusting the dynamic threshold of the ground resistance according to the dynamic relationship coefficient, and filtering the alarm information when the sensor return value of the ground resistance value does not exceed the dynamic threshold; Wherein, step S400 includes: Step S401: Recording a time period of a current time length Tc as the current time period, collecting environmental data of power equipment related to the power cable in the current time period, collecting characteristic values ​​of the environmental data, recording a false alarm pattern corresponding to the matching characteristic values ​​as a target false alarm pattern, and recording an alarm strategy included in the target false alarm pattern as a target alarm strategy; Step S402: Calculate the fluctuation threshold R of the ground resistance value th , , where β i It represents the dynamic relationship coefficient corresponding to the i-th environmental feature, and Ui represents the change in the value of the i-th environmental feature in the unit interval; Step S403: Obtain the static threshold Rs of the resistance value and calculate the dynamic boundary, wherein the dynamic boundary includes the upper boundary Gup and the lower boundary Gdown, Gup=max(Rs, Rs+R th ), Gdown=min(Rs, Rs+R th ), max represents the maximum value function, min represents the minimum value function; Step S404: Obtain the sensor return value R0 of the power cable grounding resistance value. When R0∈(Gdown, Gup), obtain the alarm information of the abnormal current power cable resistance value. When the alarm information is the alarm information generated by triggering the target alarm strategy, prevent the alarm information from being sent.

[0025] In the embodiment, environmental features in the current time period are collected, false alarm patterns are matched, and alarm conditions corresponding to the false alarm patterns are obtained; Collect the temperature change ΔT, humidity change ΔH, soil conductivity change ΔC, and electromagnetic interference change ΔEMI in a unit interval, and calculate the fluctuation threshold of the ground resistance value through the dynamic relationship coefficient corresponding to the environmental characteristics; Get the dynamic boundary. When the resistance sensor returns a value within the dynamic boundary, if an alarm message indicating abnormal ground resistance is detected, obtain the triggering alarm condition. If the alarm condition is the same as the alarm condition corresponding to the false alarm mode, mark the alarm message as a suspected false alarm and temporarily do not trigger the alarm. If the alarm condition is different from the alarm condition corresponding to the false alarm mode, trigger the alarm. When the resistance sensor return value is outside the dynamic boundary range, when the alarm information of the abnormal ground resistance value is captured, an alarm is executed.

[0026] The system includes: historical data management module, feature management module, relationship model management module and alarm filtering module; The historical data management module is used to manage the historical records of false alarms of the power cable grounding resistance, wherein the historical data management module includes: a sensor management unit, an alarm record management unit and a cluster analysis unit, wherein the sensor management unit is used to network the sensors that collect environmental parameters and grounding resistance values, the alarm record management unit is used to obtain the alarm strategy triggered when a false alarm occurs, and the cluster analysis unit is used to perform cluster analysis on the characteristic values ​​of the environmental data and the alarm strategy in the false alarm record.

[0027] The feature management module is used to manage the changing features of environmental parameters and the changing features of grounding resistance values, wherein the feature management module includes: an interval management unit, an environmental parameter management unit, a resistance value management unit and a matrix management unit, wherein the interval management unit is used to manage the unit interval in the target time period, the environmental parameter management unit is used to manage the change amount of environmental parameters in the unit interval, the resistance value management unit is used to manage the change amount of grounding resistance values ​​in the unit interval, and the matrix management unit is used to manage the dynamic change matrix and the resistance value change matrix.

[0028] The relationship model management module is used to manage the relationship model between the change in environmental parameters and the change in grounding resistance, wherein the relationship model management module includes: a coefficient management unit and a coefficient calculation unit, wherein the coefficient management unit is used to manage the dynamic relationship coefficient matrix, and the coefficient calculation unit is used to solve the dynamic relationship coefficient.

[0029] The alarm filtering module is used to filter the alarm information when the sensor return value of the grounding resistance value does not exceed the dynamic threshold, wherein the alarm filtering module includes: an alarm strategy matching unit, a fluctuation threshold management unit, a dynamic boundary management unit and an alarm judgment unit, wherein the alarm strategy matching unit is used to collect environmental data of relevant power equipment of the current power cable and match the alarm strategy of the current time period, the fluctuation threshold management unit is used to calculate the fluctuation threshold of the grounding resistance value, the dynamic boundary management unit is used to manage the dynamic boundary, and the alarm judgment unit is used to filter the alarm information that meets the filtering conditions.

[0030] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A method for controlling the grounding resistance of power cables based on the Internet of Things, characterized by: Methods include: Step S100: Acquire false alarm records of the grounding resistance of the power cable, set a time period including the false alarm records as a target time period, collect environmental features in the target time period, classify the false alarm records according to the environmental features, and set each category as a false alarm pattern; Step S200: collecting the change characteristics of the environmental parameters and the change characteristics of the ground resistance value of a certain false alarm mode; Step S300: obtaining a ground resistance variation characteristic corresponding to a variation characteristic of a certain environmental parameter, establishing a relationship model between the variation of the environmental parameter and the variation of the ground resistance through a characteristic matrix, and calculating a dynamic relationship coefficient between the environmental parameter and the ground resistance; Step S400: Collect environmental characteristics in the current time period, match the false alarm pattern, adjust the dynamic threshold of the ground resistance according to the dynamic relationship coefficient, and filter the alarm information when the sensor return value of the ground resistance value does not exceed the dynamic threshold.

2. The method for controlling the grounding resistance of a power cable based on the Internet of Things according to claim 1, wherein: Step S100 includes: Step S101: collecting ground resistance values ​​and environmental data of power equipment related to the power cable in real time through a sensor array deployed on a power cable ground resistance monitoring node; Step S102: comparing the ground resistance value with a static threshold of resistance value; generating a false alarm record when the ground resistance value triggers an alarm but is manually verified to be a false alarm; and obtaining the alarm strategy triggered when the false alarm is generated from the false alarm record; Step S103: setting a time period of length Tc, and defining a time period range including time false alarm records as a target time period; Step S104: collecting environmental characteristics within a target time period, wherein the environmental characteristics include temperature and humidity, electromagnetic interference intensity, and soil conductivity; Step S105: collecting characteristic values ​​of environmental data and alarm strategies in false alarm records as input parameters, performing cluster analysis on the input parameters, and dividing environmental characteristics and corresponding alarm strategies into several categories, each category corresponding to a false alarm pattern.

3. The method for controlling the grounding resistance of a power cable based on the Internet of Things according to claim 2, wherein: Step S200 includes: Step S201: Divide the target time period into n unit intervals, and obtain the change amount of each environmental parameter and the change amount of the ground resistance value in each unit interval; Step S202: Aggregate the changes in the environmental parameters and the ground resistance values ​​in each unit interval to obtain a dynamic change vector corresponding to each unit interval; Step S203: Gather the dynamic change vectors of n unit intervals to obtain the dynamic change matrix D, D = [d1, d2, d3, ..., d n ] T , where d1, d2, d3, ... and d n Represent the dynamic change vectors of the 1st, 2nd, 3rd, ... and nth unit intervals respectively; Step S204: Obtain the ground resistance value change of each unit interval and obtain the resistance value change matrix R, R = [r1, r2, r3, ..., r n ] T , where r1, r2, r3, ... and r n They represent the changes in the grounding resistance values ​​in the first, second, third, ... and nth unit intervals respectively.

4. The method for controlling the grounding resistance of a power cable based on the Internet of Things according to claim 3, wherein: Step S300 includes: Step S301: Set the dynamic relationship coefficient matrix B, B = [β0, β1, β2, β3, ..., β m ] T , where β1, β2, β3,…and β m They represent the dynamic relationship coefficients corresponding to the first, second, third, ... and mth environmental features respectively, and β0 represents the bias coefficient; Step S302: Obtain the augmented matrix X of the dynamically changing matrix D and establish the matrix equation: B=(X T X) -1 X T R, solve for the dynamic relationship coefficient.

5. The method for controlling the grounding resistance of a power cable based on the Internet of Things according to claim 4, characterized in that: Step S400 includes: Step S401: Recording a time period of a current time length Tc as the current time period, collecting environmental data of power equipment related to the power cable in the current time period, collecting characteristic values ​​of the environmental data, recording a false alarm pattern corresponding to the matching characteristic values ​​as a target false alarm pattern, and recording an alarm strategy included in the target false alarm pattern as a target alarm strategy; Step S402: Calculate the fluctuation threshold R of the ground resistance value th , , where β i It represents the dynamic relationship coefficient corresponding to the i-th environmental feature, and Ui represents the change in the value of the i-th environmental feature in the unit interval; Step S403: Obtain the static threshold Rs of the resistance value and calculate the dynamic boundary, wherein the dynamic boundary includes the upper boundary Gup and the lower boundary Gdown, Gup=max(Rs, Rs+R th ), Gdown=min(Rs, Rs+R th ), max represents the maximum value function, min represents the minimum value function; Step S404: Obtain the sensor return value R0 of the power cable grounding resistance value. When R0∈(Gdown, Gup), obtain the alarm information of the abnormal current power cable resistance value. When the alarm information is the alarm information generated by triggering the target alarm strategy, prevent the alarm information from being sent.

6. A power cable grounding resistance control system based on the Internet of Things, used to execute the power cable grounding resistance control method based on the Internet of Things according to any one of claims 1 to 5, characterized in that: The system includes: Historical data management module, feature management module, relationship model management module and alarm filtering module; Among them, the historical data management module is used to manage the historical records of false alarms of the power cable grounding resistance, the feature management module is used to manage the changing characteristics of the environmental parameters and the changing characteristics of the grounding resistance value, the relationship model management module is used to manage the relationship model between the change in the environmental parameters and the change in the grounding resistance, and the alarm filtering module is used to filter the alarm information when the sensor return value of the grounding resistance value does not exceed the dynamic threshold.

7. The power cable grounding resistance management and control system based on the Internet of Things according to claim 6 is characterized in that: The historical data management module includes: sensor management unit, alarm record management unit and cluster analysis unit; The sensor management unit is used to manage the sensors that collect environmental parameters and ground resistance values ​​through networking; The alarm record management unit is used to obtain the alarm strategy triggered when a false alarm is generated; The cluster analysis unit is used to perform cluster analysis on the characteristic values ​​of environmental data and the alarm strategies in the false alarm records.

8. The power cable grounding resistance management and control system based on the Internet of Things according to claim 6, characterized in that: The feature management module includes: interval management unit, environmental parameter management unit, resistance value management unit and matrix management unit; The interval management unit is used to manage the unit intervals in the target time period; The environmental parameter management unit is used to manage the change of environmental parameters in a unit interval; The resistance value management unit is used to manage the change amount of the ground resistance value in the unit interval; The matrix management unit is used to manage the dynamic change matrix and the resistance value change matrix.

9. The power cable grounding resistance management and control system based on the Internet of Things according to claim 6, characterized in that: The relational model management module includes: a coefficient management unit and a coefficient calculation unit; The coefficient management unit is used to manage the dynamic relationship coefficient matrix; The coefficient calculation unit is used to solve the dynamic relationship coefficients.

10. The power cable grounding resistance management and control system based on the Internet of Things according to claim 6, characterized in that: The alarm filtering module includes: an alarm strategy matching unit, a fluctuation threshold management unit, a dynamic boundary management unit, and an alarm judgment unit; The alarm strategy matching unit is used to collect environmental data of the current power cable and related power equipment to match the alarm strategy of the current time period; The fluctuation threshold management unit is used to calculate the fluctuation threshold of the ground resistance value; The dynamic boundary management unit is used to manage the dynamic boundary; The alarm judgment unit is used to filter the alarm information that meets the filtering conditions.

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