CN116545121B - Electricity utilization safety hidden danger information processing method and electricity utilization safety supervision service system - Google Patents

Abstract

The application discloses an electricity utilization potential safety hazard information processing method and an electricity utilization safety supervision service system, and relates to the technical field of electric power service. The Bao Weibao allocating unit is used for obtaining the distribution range of the electric equipment with electric leakage in the management areas with different historic time periods according to the position of the electric equipment and the electric leakage time; acquiring the leakage time length of the electric equipment with leakage in the management area for each history different period; obtaining a plurality of to-be-inspected power equipment in the management area in different time periods of each history according to the positions and the leakage time lengths of the power equipment in the management area in different time periods of each history; generating an overhaul sequence according to the leakage time of each electric device to be investigated; and the overhaul unit is used for overhauling the electric equipment to be overhauled according to the overhaul sequence. According to the application, by monitoring and analyzing the power equipment and the electric equipment with potential safety hazards, the overall power utilization safety degree in the management range is improved under the limited power maintenance capability state.

Description

Electricity utilization safety hidden danger information processing method and electricity utilization safety supervision service system

Technical Field

The application belongs to the technical field of electric power service, and particularly relates to an electric power utilization potential safety hazard information processing method and an electric power utilization safety supervision service system.

Background

Electrical safety issues are a focus of social concern, especially in the industrial and residential electrical fields. For various reasons, such as damage to equipment, lack of maintenance, human error in operation, etc., the power equipment may malfunction, and even serious accidents such as fire may be caused.

At the same time, power regulators are also faced with some challenges in terms of power safety management. For example, traditional electrical safety supervision methods often require personnel to patrol and examine on site, which is inefficient, time-consuming and labor-consuming, and cannot be monitored in real time. In addition, even if hidden danger of electric equipment is found, the information needs to be fed back to related personnel in time, and the hidden danger is tracked and managed, so that the hidden danger is challenging in a large-scale electric power system.

Disclosure of Invention

The application aims to provide an information processing method for potential safety hazards and an electricity safety supervision service system, which are used for improving the overall electricity safety degree in a management range under a limited electric power maintenance capability state by monitoring and analyzing electric equipment and electric equipment with potential safety hazards.

In order to solve the technical problems, the application is realized by the following technical scheme:

the application provides a method for processing information of potential safety hazards of electricity, which comprises the following steps,

acquiring the position of power equipment in a management area;

continuously acquiring a monitoring result of the leakage sensor in the management area to obtain the leakage time of the power equipment;

obtaining the position distribution of the electric power equipment with electric leakage in the management area in different historic time periods according to the position of the electric power equipment and the electric leakage time;

for each history different period, acquiring the leakage time length of the electric power equipment leaked in the management area according to the position distribution of the electric power equipment leaked in the management area;

obtaining a plurality of to-be-inspected power devices in the management area in different time periods of each history according to the positions of the power devices in the management area and the leakage time length of the leakage in the different time periods of each history;

and generating an overhaul sequence according to the leakage time of each electric device to be investigated.

The application also discloses a method for processing the information of the potential safety hazard of electricity utilization, which comprises the steps of,

receiving the above-described service sequence;

and overhauling the electric equipment to be overhauled according to the overhauling sequence.

The application also discloses an electricity safety supervision service system, which comprises,

the positioning unit is used for acquiring the position of the power equipment in the management area;

the information collection unit is used for continuously obtaining the monitoring result of the leakage sensor in the management area to obtain the leakage time of the power equipment;

the maintenance allocation unit is used for obtaining the distribution range of the electric power equipment with electric leakage in the management area in different historic time periods according to the position of the electric power equipment and the electric leakage time;

for each history different period, acquiring the leakage time length of the electric power equipment with leakage in the management area;

obtaining a plurality of to-be-inspected power devices in the management area in different time periods of each history according to the positions of the power devices in the management area and the leakage time length of the leakage in the different time periods of each history;

generating an overhaul sequence according to the leakage time of each electric device to be investigated;

and the overhaul unit is used for overhauling the electric equipment to be overhauled according to the overhaul sequence.

The application improves the overall electricity safety level under the limited power maintenance capability by monitoring and analyzing the power equipment and the electric equipment. The system comprises a positioning unit, an information collecting unit, a maintenance allocation unit and an overhaul unit. The method comprises the steps of obtaining the position of equipment by a positioning unit in the running process, continuously obtaining the result of a leakage sensor by an information collecting unit to obtain the leakage time of the equipment, and obtaining the distribution range of the leakage equipment in different time periods and the leakage time length of the leakage equipment in each time period by a maintenance allocation unit according to the position of the equipment and the leakage time, so as to obtain equipment to be checked, and generating a maintenance sequence according to the leakage time of the equipment to be checked. And finally, overhauling the equipment to be overhauled by the overhauling unit according to the sequence. The system improves the safety management efficiency of the power equipment and the operation safety of the electric equipment.

Of course, it is not necessary for any one product to practice the application to achieve all of the advantages set forth above at the same time.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of functional modules and information flow of an embodiment of an electrical safety supervision service system according to the present disclosure;

FIG. 2 is a schematic diagram showing a step flow of an embodiment of the method for processing information of potential safety hazard according to the present application;

FIG. 3 is a flowchart illustrating the step S3 according to an embodiment of the present application;

FIG. 4 is a flowchart illustrating the step S5 according to an embodiment of the present application;

FIG. 5 is a flowchart illustrating the step S52 according to an embodiment of the present application;

FIG. 6 is a flowchart illustrating the step S6 according to an embodiment of the present application;

FIG. 7 is a schematic flow chart illustrating a method for processing information of potential safety hazard in accordance with an embodiment of the present application;

FIG. 8 is a flowchart illustrating the step S9 according to an embodiment of the present application;

FIG. 9 is a flowchart illustrating steps S93 to S94 according to an embodiment of the present application;

FIG. 10 is a third schematic diagram of an embodiment of a method for processing information of electrical safety hazards according to the present application;

in the drawings, the list of components represented by the various numbers is as follows:

the system comprises a 1-positioning unit, a 2-information collecting unit, a 3-maintenance allocation unit and a 4-maintenance unit.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The electric equipment may generate electric leakage phenomenon due to various reasons, and meanwhile, a plurality of electric leakage devices with similar distances and electric leakage time correlation have implications, so that the electric leakage phenomenon may occur even if one of the electric equipment is abnormal, which is caused by the abnormality of other normal electric equipment. The electric leakage not only can cause electric energy loss, but also can cause great safety threat to electric power staff and masses, and in order to quickly and effectively maintain the electric leakage equipment at high efficiency, priority ordering is needed to be carried out on electric equipment with a plurality of electric leakage, so that the technical effect of improving the overall electricity utilization safety degree in the management range under the state of limited electric power maintenance capacity is achieved, and the specific scheme is as follows.

Referring to fig. 1, the present application provides an electricity safety supervision service system, which may include a positioning unit 1, an information collecting unit 2, a maintenance allocation unit 3, and an overhaul unit 4. Step S1 may first be performed by the positioning unit 1 to obtain the position of the power device within the management area, where the position may be two-dimensional coordinates on a map. Meanwhile, the power equipment mentioned in the scheme is not only power transmission and transformation equipment, but also various electric equipment used by civilian or industry and commerce.

Next, the information collecting unit 2 may perform step S2 to continuously obtain the monitoring result of the leakage sensor in the management area, so as to obtain the leakage time of the power device, that is, the distribution state of the leakage break time of the power device. Step S3 may be performed by the maintenance allocation unit 3 to obtain a distribution range of the electric devices leaking in the history different period management area according to the position of the electric devices and the leakage time. For each of the historic different periods, step S4 may be performed next to acquire the leakage time length of the electric device that is leaking in the management area. Step S5 may be executed to obtain a plurality of electric devices to be inspected in the management area in different time periods of each history according to the positions of the electric devices in the management area in different time periods of each history and the leakage time length. Step S6 may be performed to generate an inspection sequence according to the leakage time of each electrical device to be inspected, that is, an order of inspecting different electrical devices.

Finally, the maintenance unit 4 may perform step S7 to maintain the electrical equipment to be inspected according to the maintenance sequence. The maintenance unit in this scheme can be virtual maintenance team, also can be the automation equipment such as inspection robot.

In the hardware deployment, the positioning unit 1 in the scheme can be positioning equipment, and can also be a memory for recording the positions of various power equipment. The information collecting unit 2 may be a leakage sensor distributed to the consumers. The maintenance allocation unit 3 may be a server deployed at the cloud, and constructs an operation management platform based on a GIS (geographic information system) according to the information transmitted by the positioning unit 1 and the information collecting unit 2 in the operation process, so as to generate a city information model. The maintenance sequence generated by the maintenance allocation unit 3 can be issued through a PC client, a mobile terminal, a monitoring center, an outdoor LED screen, a WeChat and a short message issuing terminal. The service unit 4 service the power equipment after receiving the service sequence.

In the implementation process, the safety of the electric power equipment and the electric equipment is improved under the condition of limited power maintenance capability through monitoring and analysis of the electric equipment and the electric equipment. The system is composed of a positioning unit, an information collection unit, a maintenance allocation unit and a maintenance unit. In operation, the positioning unit is responsible for positioning the equipment, and the information collecting unit continuously collects the data of the leakage sensor to acquire the leakage moment of the equipment. And the maintenance allocation unit determines the distribution and the leakage time length of the leakage equipment in each period according to the equipment position and the leakage time so as to identify the equipment to be checked and arrange the maintenance sequence according to the leakage time. Finally, the overhaul unit overhauls the equipment in this order. The system improves the management efficiency of the power equipment and enhances the safety of the power equipment.

The above steps can be implemented by the following code modules in the implementation process, and are limited to showing only the core algorithm part.

import java.util.*;

public class ElectricMaintenance {

Map<String, ElectricDevice> devices = new HashMap<>();

public void getDeviceLocations() {

The// getlocation from db () is a method of acquiring information of all device locations from a database

List<DeviceLocation> deviceLocations = getLocationsFromDB();

for (DeviceLocation location : deviceLocations) {

ElectricDevice device = new ElectricDevice();

device.id = location.deviceId;

device.location = location.location;

devices.put(device.id, device);

}

}

public void getLeakageData() {

The// getLeakageDataFromSensor () is one method to obtain leakage data of all devices from the sensor

List<LeakageData> leakageDataList = getLeakageDataFromSensor();

for (LeakageData data : leakageDataList) {

ElectricDevice device = devices.get(data.deviceId);

if (device != null) {

device.leakageTime = data.leakageTime;

}

}

}

public void generateDeviceDistribution() {

The// createHistory distribution () is a method of generating a device position distribution in a history period from a device position and a leakage time

Map<String, DeviceDistribution> distributions = createHistoricalDistribution(devices.values());

for (DeviceDistribution distribution : distributions.values()) {

Obtaining the leakage time length of each device according to the position distribution of the device

distribution.leakageDuration = getLeakageDuration(distribution);

Generating a list of the equipment to be checked according to the equipment position and the leakage time length

distribution.toBeInspected = generateToBeInspectedDevices(distribution);

Generating maintenance sequence according to leakage time of equipment to be checked

distribution.repairOrder = generateRepairOrder(distribution.toBeInspected);

}

}

Implementation of other methods, including interaction with databases, sensors, and specific data processing, etc

}

ElectricDevice, deviceLocation, leakageData, deviceDistribution is a data structure representing power equipment, equipment location, leakage data, and equipment distribution. In addition, this example also discloses some interaction methods with databases, sensors, and specific data processing methods.

Referring to fig. 3, in order to divide the time periods with the same duration so as to analyze the leakage correlation of different power devices, step S3 may be executed first to obtain the monitoring duration of the power device according to the distribution range of the leakage time of the power device in the implementation process. Step S32 may be performed to obtain a common divisor of the monitoring durations of all the power devices in the management area as the statistical duration. Finally, step S33 may be executed to perform time-slicing according to the statistical duration to obtain the position distribution of the electric devices leaking in the management area in each time period of the statistical duration.

The above steps can be implemented by the following code modules in the implementation process, and are limited to showing only the core algorithm part.

import java.util.*;

public class ElectricMaintenance {

private class LeakageDevice {

public double x, y;

public double leakageDuration;

public LeakageDevice(double x, double y, double leakageDuration) {

this.x = x;

this.y = y;

this.leakageDuration = leakageDuration;

}

}

private class DeviceLeakageData {

public double x, y;

public Map<String, Double> historicalLeakageTimes;

public DeviceLeakageData(double x, double y) {

this.x = x;

this.y = y;

this.historicalLeakageTimes = new HashMap<>();

}

}

public Map<String, List<DeviceLeakageData>> generateHistoricalLeakageData(List<LeakageDevice> devices) {

Map<String, List<DeviceLeakageData>> historicalData = new HashMap<>();

Calculating common divisor as statistical time length

double gcd = calculateGCD(devices);

for (LeakageDevice device : devices) {

Monitoring duration of a// computing device

double monitoringDuration = calculateMonitoringDuration(device.leakageDuration, gcd);

for (int i = 0; i < monitoringDuration; i += gcd) {

String period = String.format("Period%d", i);

historicalData.computeIfAbsent(period, k -> new ArrayList<>()).add(new DeviceLeakageData(device.x, device.y));

}

}

return historicalData;

}

private double calculateGCD(List<LeakageDevice> devices) {

Logic for implementing/calculating common divisor

The specific implementation of the// function will depend on the specific requirements and data

return 1;

}

private double calculateMonitoringDuration(double leakageDuration, double gcd) {

Logic for calculating the duration of a monitoring

The specific implementation of the// function will depend on the specific requirements and data

return 1;

}

}

In the code, the generateHistory LeakageData () function traverses each leakage device, calculates the monitoring duration of the device, and then generates a DeviceLeakageData object for each statistical period according to the monitoring duration and the statistical duration. The deviceleaagedata object contains the location of the device and the leakage time for that period. Specific common divisor calculation and monitoring duration calculation logic is implemented by the calculegcd () and calculemonitor duration () functions.

Referring to fig. 4, since the position and the leakage state of each leaked power device are quantitatively marked, step S5 may be performed in the implementation process to obtain, according to the position and the leakage time length of the leaked power device in the management area, a three-dimensional vector composed of two-dimensional coordinates and the leakage time length of the leaked power device as a quantization index of the leaked power device. Step S52 may be performed to select a plurality of investigation regions and the electric devices to be investigated in each investigation region according to the quantization index of each electric device that is leaking. And finally, step S53 can be executed to collect the equipment to be inspected in all the inspection areas in each time period of the statistical duration to obtain a plurality of electric equipment to be inspected in the management areas in different time periods of each history.

The above steps can be implemented by the following code modules in the implementation process, and are limited to showing only the core algorithm part.

import java.util.*;

public class ElectricMaintenance {

private class LeakageDevice {

public double x, y;

public double leakageDuration;

public LeakageDevice(double x, double y, double leakageDuration) {

this.x = x;

this.y = y;

this.leakageDuration = leakageDuration;

}

}

private class LeakageDeviceQuantitativeIndex {

public double x, y, z;

public LeakageDeviceQuantitativeIndex(double x, double y, double z) {

this.x = x;

this.y = y;

this.z = z;

}

}

private class InvestigationArea {

public List<LeakageDeviceQuantitativeIndex> devicesToInvestigate;

public InvestigationArea() {

this.devicesToInvestigate = new ArrayList<>();

}

}

public Map<String, InvestigationArea> generateInvestigationAreas(List<LeakageDevice> devices) {

Map<String, InvestigationArea> investigationAreas = new HashMap<>();

double gcd = calculateGCD(devices);

for (LeakageDevice device : devices) {

double monitoringDuration = calculateMonitoringDuration(device.leakageDuration, gcd);

for (int i = 0; i < monitoringDuration; i += gcd) {

String period = String.format("Period%d", i);

LeakageDeviceQuantitativeIndex quantitativeIndex = new LeakageDeviceQuantitativeIndex(device.x, device.y, device.leakageDuration);

investigationAreas.computeIfAbsent(period, k -> new InvestigationArea()).devicesToInvestigate.add(quantitativeIndex);

}

}

return investigationAreas;

}

private double calculateGCD(List<LeakageDevice> devices) {

Logic for implementing/calculating common divisor

The specific implementation of the// function will depend on the specific requirements and data

return 1;

}

private double calculateMonitoringDuration(double leakageDuration, double gcd) {

Logic for calculating the duration of a monitoring

The specific implementation of the// function will depend on the specific requirements and data

return 1;

}

}

In this code, a leaagedevicequantitive index object is first generated for each device, which contains the two-dimensional coordinates of the device and the leakage duration. The devices to be inspected are then sorted out according to the quantization index of each device and stored in the investationna object. And finally, summarizing all the investigation regions of each period into one Map, wherein the key is the identification of the period, and the value is the investigation region of the period.

Referring to fig. 5, the leaked power devices are often distributed in a slice, in which the power devices with serious leakage are often the source of the leaked power zone, and therefore, the leaked power devices need to be maintained first, and therefore, in the implementation process of step S52, step S521 may be performed first to select a plurality of quantization indexes of all the leaked power devices as quantization indexes of the power devices to be inspected, and record the quantization indexes as the quantization indexes to be inspected. Step S522 may be performed to obtain a difference module length between the quantization index to be examined and other quantization indexes. Step S523 may be performed to combine the other quantization indexes and the quantization index to be examined with the smallest difference module length into an examination set. Step S524 may be performed to obtain, as the updated quantization index to be examined, the quantization index having the smallest difference module length with the corresponding mean vector in each of the examination sets. Step S525 may be performed next to determine whether the updated quantization index to be examined has changed. If yes, step S526 may be executed next to update the investigation set according to the updated quantization indexes to be investigated, and if not, step S527 may be executed next to output the location ranges of the power devices corresponding to all the quantization indexes in the updated investigation set as the investigation region. Finally, step S528 may be executed to take the electric device corresponding to the to-be-inspected quantization index in the inspection set as the to-be-inspected electric device in the inspection area.

The above steps can be implemented by the following code modules in the implementation process, and are limited to showing only the core algorithm part.

import java.util.*;

public class ElectricMaintenance {

private class LeakageDevice {

public double x, y;

public double leakageDuration;

public LeakageDevice(double x, double y, double leakageDuration) {

this.x = x;

this.y = y;

this.leakageDuration = leakageDuration;

}

}

private class LeakageDeviceQuantitativeIndex {

public double x, y, z;

public LeakageDeviceQuantitativeIndex(double x, double y, double z) {

this.x = x;

this.y = y;

this.z = z;

}

}

private class InvestigationArea {

public List<LeakageDeviceQuantitativeIndex> devicesToInvestigate;

public LeakageDeviceQuantitativeIndex centroid;

public InvestigationArea() {

this.devicesToInvestigate = new ArrayList<>();

}

}

public Map<String, InvestigationArea> generateInvestigationAreas(List<LeakageDeviceQuantitativeIndex> devices, int k) {

List<InvestigationArea> investigationAreas = new ArrayList<>();

// Initiate k InvestigationAreas with random centroids

Random random = new Random();

for (int i = 0; i < k; i++) {

InvestigationArea investigationArea = new InvestigationArea();

investigationArea.centroid = devices.get(random.nextInt(devices.size()));

investigationAreas.add(investigationArea);

}

boolean centroidsChanged;

do {

// Clear clusters

for (InvestigationArea area : investigationAreas) {

area.devicesToInvestigate.clear();

}

// Assign each device to the nearest cluster

for (LeakageDeviceQuantitativeIndex device : devices) {

InvestigationArea nearestCluster = findNearestCluster(device, investigationAreas);

nearestCluster.devicesToInvestigate.add(device);

}

centroidsChanged = false;

// Recalculate cluster centroids and check for change

for (InvestigationArea area : investigationAreas) {

LeakageDeviceQuantitativeIndex newCentroid = calculateCentroid(area.devicesToInvestigate);

if (!newCentroid.equals(area.centroid)) {

centroidsChanged = true;

area.centroid = newCentroid;

}

}

} while (centroidsChanged);

// Transform List of clusters to Map for output

Map<String, InvestigationArea> investigationAreasMap = new HashMap<>();

for (int i = 0; i < investigationAreas.size(); i++) {

investigationAreasMap.put("Area " + i, investigationAreas.get(i));

}

return investigationAreasMap;

}

private InvestigationArea findNearestCluster(LeakageDeviceQuantitativeIndex device, List<InvestigationArea> investigationAreas) {

InvestigationArea nearest = null;

double smallestDistance = Double.MAX_VALUE;

for (InvestigationArea area : investigationAreas) {

double distance = calculateDistance(device, area.centroid);

if (distance < smallestDistance) {

smallestDistance = distance;

nearest = area;

}

}

return nearest;

}

private double calculateDistance(LeakageDeviceQuantitativeIndex device1, LeakageDeviceQuantitativeIndex device2) {

double dx = device1.x - device2.x;

double dy = device1.y - device2.y;

double dz = device1.z - device2.z;

return Math.sqrt(dx * dx + dy * dy + dz * dz);

}

private LeakageDeviceQuantitativeIndex calculateCentroid(List<LeakageDeviceQuantitativeIndex> devices) {

double x = 0, y = 0, z = 0;

for (LeakageDeviceQuantitativeIndex device : devices) {

x += device.x;

y += device.y;

z += device.z;

}

int n = devices.size();

return new LeakageDeviceQuantitativeIndex(x / n, y / n, z / n);

}

}

The Java code realizes the steps of selecting a plurality of investigation regions and the electric equipment to be investigated in each investigation region according to the quantization index of each electric equipment which leaks electricity. Each device is assigned to the nearest zone by defining a device object and a zone object, and the zone center is updated according to the new in-zone device. The process is repeated until the centers of all areas are not changed any more, and the equipment in the areas is the equipment to be checked.

Referring to fig. 6, the states of the different electric devices to be inspected are different, and the inspection sequences are also required to be ordered. Specifically, in the implementation process of step S6, step S61 may be performed first to obtain the leakage time length of each electric device to be inspected according to the leakage time length of each electric device to be inspected. Step S62 may be performed to obtain the number of all the electric devices in the investigation region corresponding to each electric device to be investigated. Step S63 may be performed to calculate an importance coefficient between each of the electric devices to be inspected according to a ratio between the numbers of all the electric devices in the inspection area corresponding to each of the electric devices to be inspected. Step S64 may be executed to correct the corresponding leakage duration according to the importance coefficient between each of the electric devices to be inspected, so as to obtain the ranking value of each of the electric devices to be inspected. And finally, step S65 can be executed to obtain the maintenance sequence according to the sequence of the power equipment to be examined from big to small.

The above steps can be implemented by the following code modules in the implementation process, and are limited to showing only the core algorithm part.

import java.util.*;

public class Main {

public static void main(String[] args) {

Defining a collection of electrical devices to be inspected

List<Device> devices = new ArrayList<>();

The information of the electric equipment to be checked is acquired and added to the devices set

Calculating importance coefficient according to the leakage time of each electric equipment to be checked, and correcting the leakage time length to obtain a sequencing value

for (Device device : devices) {

Calculating importance coefficients, where the inverse of the number of devices is used as the importance coefficient

double importanceCoefficient = 1.0 / device.areaDevicesCount;

Correcting the leakage time length according to the importance coefficient to obtain a sequencing value

device.sortValue = device.leakageTime * importanceCoefficient;

}

Sequencing according to the sequencing value to obtain the maintenance sequence

devices.sort((a, b) -> Double.compare(b.sortValue, a.sortValue));

Repair sequence of/(printing apparatus)

for (Device device : devices) {

System.out.println(device.deviceId);

}

}

}

Class of device

class Device {

String deviceId;// device id

double leakageTime,// leakage time

int areaDevicesCount number of all electric devices in the investigation region corresponding to the device

double sort value;// rank value

}

Referring to fig. 7, for the electric power equipment for which the maintenance is completed, it is necessary to determine whether the secondary maintenance is required according to the subsequent leakage state thereof, but it is necessary to determine whether the previous maintenance is effective before that. In view of this, for the electrical equipment that has completed maintenance, step S6 may be further performed after the completion of the implementation, and step S8 may be performed to continuously obtain the post-maintenance leakage time of the electrical equipment according to the monitoring result of the corresponding leakage sensor. Step S9 may be performed to determine whether the maintenance of the power equipment is effective based on the leakage time before the maintenance of the power equipment for which the maintenance has been completed and the leakage time after the maintenance. If so, step S10 may be performed to maintain the leakage time before the maintenance of the electrical equipment, and if not, step S11 may be performed to empty the leakage time before the maintenance of the electrical equipment, that is, consider that the maintenance of the electrical equipment is effective, without taking the leakage state before the maintenance into consideration.

Referring to fig. 8, in order to determine whether the leakage states of the power devices before and after maintenance are the same, it may be determined whether the leakage time periods are the same in a specific time interval. In view of this, after the maintenance of the electrical equipment, the step S9 may be performed in the specific implementation process in the first step S91 to continuously obtain the leakage time of the electrical equipment. Step S92 may be performed to obtain a ratio of the post-maintenance leakage time period to the total time period according to the leakage time period of the power device. Step S93 may be performed next to obtain a detection window duration from the post-service duration. And finally, step S94 can be executed to judge whether the maintenance of the power equipment is effective maintenance according to the leakage time before the maintenance of the power equipment and the leakage time after the maintenance within the detection window time.

The above steps can be implemented by the following code modules in the implementation process, and are limited to showing only the core algorithm part.

public class Main {

public static void main(String[] args) {

The equipment is overhauled, and the leakage time before and after the equipment overhauling is obtained

Device device = new Device();

device.deviceId = "device1";

device.pre-repairaleaagetime=60;// pre-service leakage time, e.g. 60 minutes

Postrepaireakagetime=30;// post service leakage time, e.g. 30 minutes

device. Total duration=120;// total duration after service of the installation, for example 120 minutes

Ratio of leakage time length to total time length after maintenance

double leakageRatio = device.postRepairLeakageTime / device.totalDuration;

The duration of the detection window is half of the total duration of the equipment after maintenance

double detectionWindowDuration = device.totalDuration / 2;

The leakage time length before and after the overhaul is within the detection window time length, and the leakage time before and after the overhaul is uniformly distributed

double preRepairWindowLeakageTime = device.preRepairLeakageTime * (detectionWindowDuration / device.totalDuration);

double postRepairWindowLeakageTime = device.postRepairLeakageTime * (detectionWindowDuration / device.totalDuration);

Judging whether the overhaul of the power equipment is effective overhaul, wherein if the electric leakage time length is reduced after the overhaul, the overhaul is regarded as effective overhaul

if (postRepairWindowLeakageTime < preRepairWindowLeakageTime) {

System.out.printin (overhaul of device.deviceid+ "is valid.");

} else {

system.out.printin (maintenance of device.deviceid+ "is ineffective.");

}

}

}

class of device

class Device {

String deviceId;// device id

double preRepairLeakageTime, leakage time before repair

double postRepairLeakageTime after repair leakage time

double totalDuration total time length after overhaul of the equipment

}

The electric leakage time before and after maintenance in the code section is uniformly distributed in the total time length, so that the electric leakage time length in the time length of the detection window is calculated directly in proportion. If the actual situation is different from this, a more complex method may be required to calculate the leakage time period within the detection window time period.

Referring to fig. 9, in order to compare the ratio of the leakage time periods before and after maintenance, step S93 and step S94 may be executed first in the specific implementation process, where step S93-94.1 takes the maintenance time period as the detection window time period. Next, step S93-94.2 may be performed to arbitrarily extract the leakage time in the duration of the continuous detection window in the period before the overhaul of the power equipment. And then, the step S93-94.3 can be executed to acquire the proportion of the leakage time in any detection window duration before the power equipment overhaul to the detection window duration. Next, steps S93-94.4 may be performed to determine whether the ratio of the leakage time in any detection window duration before the overhaul of the power equipment to the detection window duration is equal to or greater than the ratio of the post-overhaul leakage time duration to the total time duration. If yes, the step S93-94.5 can be executed next to judge that the overhaul of the power equipment is effective, and if not, the step S93-94.6 can be executed finally to judge that the overhaul of the power equipment is ineffective.

The above steps can be implemented by the following code modules in the implementation process, and are limited to showing only the core algorithm part.

public class Main {

public static void main(String[] args) {

The equipment is overhauled, and the leakage time before and after the equipment overhauling is obtained

Device device = new Device();

device.deviceId = "device1";

device.pre-repairaleaagetime=60;// pre-service leakage time, e.g. 60 minutes

Postrepaireakagetime=30;// post service leakage time, e.g. 30 minutes

device. Total duration=120;// total duration after service of the installation, for example 120 minutes

Ratio of leakage time length to total time length after maintenance

double postRepairLeakageRatio = device.postRepairLeakageTime / device.totalDuration;

Time length after overhaul is used as time length of detection window

double detectionWindowDuration = device.postRepairLeakageTime;

The leakage time in the continuous detection window duration is arbitrarily extracted in the period before the maintenance of the power equipment, wherein the leakage time before the maintenance is uniformly distributed

double preRepairWindowLeakageTime = device.preRepairLeakageTime * (detectionWindowDuration / device.totalDuration);

Obtaining the proportion of the leakage time in any detection window time before overhauling the power equipment to the detection window time

double preRepairLeakageRatio = preRepairWindowLeakageTime / detectionWindowDuration;

Judging whether the ratio of the leakage time in any detection window duration before the maintenance of the power equipment to the detection window duration is equal to or greater than the ratio of the leakage time duration after the maintenance to the total duration

if (preRepairLeakageRatio >= postRepairLeakageRatio) {

System.out.printin (overhaul of device.deviceid+ "is valid.");

} else {

system.out.printin (maintenance of device.deviceid+ "is ineffective.");

}

}

}

class of device

class Device {

String deviceId;// device id

double preRepairLeakageTime, leakage time before repair

double postRepairLeakageTime after repair leakage time

double totalDuration total time length after overhaul of the equipment

}

In another aspect of the application, i.e. from the perspective of the service unit 4, step S01 may first be performed, i.e. the service sequence generated in step S6 is received. And then executing step S02 to overhaul the electric equipment to be inspected according to the overhaul sequence.

In summary, the scheme further improves the electricity safety under the condition of limited maintenance resources by analyzing and monitoring the electric power and the electric equipment. The system comprises a unit for acquiring equipment positioning, an information collection unit, a maintenance allocation unit and a maintenance execution unit. During operation, the positioning unit is used for determining the position of the equipment, and then the information collecting unit continuously collects feedback of the leakage sensor, so that the leakage time of the equipment is known. And then, the allocation maintenance unit determines the distribution of the leakage equipment in each period according to the position of the equipment and the leakage time, and simultaneously records the leakage time length of each equipment, thereby confirming the equipment needing to be checked, and formulating a maintenance flow according to the leakage time of the equipment. And finally, the overhaul unit overhauls equipment to be inspected in sequence according to the formulated flow. The system improves the maintenance efficiency of the power equipment and enhances the operation safety of the power equipment.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.

It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by hardware, such as circuits or ASICs (application specific integrated circuits, application Specific Integrated Circuit), which perform the corresponding functions or acts, or combinations of hardware and software, such as firmware, etc.

Although the application is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

The foregoing description of embodiments of the application has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (8)

1. A method for processing information of potential safety hazards of electricity is characterized by comprising the steps of,

acquiring the position of power equipment in a management area;

continuously acquiring a monitoring result of the leakage sensor in the management area to obtain the leakage time of the power equipment;

obtaining the position distribution of the electric power equipment with electric leakage in the management area in different historic time periods according to the position of the electric power equipment and the electric leakage time;

for each history different period, acquiring the leakage time length of the electric power equipment leaked in the management area according to the position distribution of the electric power equipment leaked in the management area;

obtaining a plurality of to-be-inspected power devices in the management area in different time periods of each history according to the positions of the power devices in the management area and the leakage time length of the leakage in the different time periods of each history;

generating an overhaul sequence according to the leakage time of each electric device to be investigated;

wherein the step of obtaining the position distribution of the electric power equipment with electric leakage in the management area in different historic time periods according to the position of the electric power equipment and the electric leakage time comprises the following steps of,

obtaining the monitoring duration of the power equipment according to the distribution range of the leakage time of the power equipment;

obtaining common divisors of monitoring time durations of all the power equipment in the management area as statistical time durations;

performing time segmentation according to the statistical duration to obtain the position distribution of the electric power equipment with electric leakage in the management area in the time period of each statistical duration;

wherein the step of obtaining a plurality of to-be-inspected power equipment in the management area in each history different period according to the position and the leakage time length of the electric equipment in the management area in each history different period comprises the steps of,

during the time period of each statistical duration,

obtaining a three-dimensional vector consisting of two-dimensional coordinates of the electric equipment subjected to electric leakage and electric leakage time length according to the position of the electric equipment subjected to electric leakage and the electric leakage time length in the management area, wherein the three-dimensional vector is used as a quantization index of the electric equipment subjected to electric leakage;

selecting a plurality of investigation regions and electric equipment to be investigated in each investigation region according to the quantization index of each electric equipment subjected to electric leakage;

summarizing all the equipment to be inspected in the inspection area in each time period of the statistical duration to obtain a plurality of electric equipment to be inspected in the management area in different time periods of each history.

2. The method according to claim 1, wherein the step of selecting a plurality of inspection areas and the electric devices to be inspected in each inspection area according to the quantization index of the electric devices of each electric leakage comprises,

selecting a plurality of quantization indexes of all electric equipment with electric leakage as quantization indexes of the electric equipment to be inspected, and marking the quantization indexes as quantization indexes to be inspected;

obtaining the difference modular length of the quantization index to be examined and other quantization indexes;

forming an investigation set by other quantization indexes and the quantization index to be investigated with the smallest difference module length;

obtaining a quantization index with the minimum difference module length between each investigation set and the corresponding mean value vector as the updated quantization index to be investigated;

judging whether the updated quantization index to be examined changes or not;

if yes, updating the investigation set according to the updated quantization index to be investigated;

if not, outputting the position range of the power equipment corresponding to all the quantization indexes in the updated investigation set as the investigation region;

and taking the electric equipment corresponding to the quantitative index to be inspected in the inspection set as the electric equipment to be inspected in the inspection area.

3. The method of claim 1, wherein the step of generating a service sequence based on the leakage time of each electrical device to be inspected comprises,

obtaining the leakage time length of each electric device to be checked according to the leakage time of each electric device to be checked;

acquiring the number of all the electric devices in the investigation region corresponding to each electric device to be investigated;

calculating importance coefficients among the electric devices to be inspected according to the ratio among the numbers of all the electric devices in the inspection area corresponding to the electric devices to be inspected;

correcting the corresponding leakage time length according to the importance coefficient between the electric devices to be inspected to obtain a sequencing value of each electric device to be inspected;

and sequencing according to the sequencing value of each electric device to be checked from big to small to obtain the maintenance sequence.

4. The method of claim 1, further comprising,

continuously acquiring the post-maintenance electricity leakage time of the electric power equipment according to the monitoring result of the corresponding electricity leakage sensor for the electric power equipment after the maintenance is completed;

judging whether the overhaul of the electric power equipment is effective according to the electric leakage time before the overhaul of the electric power equipment and the electric leakage time after the overhaul;

if yes, maintaining the leakage time of the power equipment before overhaul;

and if not, clearing the leakage time before the overhaul of the power equipment.

5. The method according to claim 4, wherein the step of judging whether the maintenance of the electric power equipment is a valid maintenance based on the electric leakage time before the maintenance of the electric power equipment for which the maintenance has been completed and the electric leakage time after the maintenance, comprises,

after the electric equipment is overhauled, continuously acquiring the leakage time of the electric equipment;

acquiring the ratio of the electric leakage time length after maintenance to the total time length according to the electric leakage time of the electric power equipment;

obtaining the duration of a detection window according to the duration after maintenance;

and judging whether the overhaul of the power equipment is effective according to the electric leakage time before the overhaul of the power equipment and the electric leakage time after the overhaul within the detection window time.

6. The method of claim 5, wherein the detecting window duration is obtained according to the post-overhaul duration; judging whether the maintenance of the power equipment is effective according to the leakage time before the maintenance of the power equipment and the leakage time after the maintenance within the detection window time length, wherein the step comprises,

taking the overhauled time length as a detection window time length;

randomly extracting the leakage time in the continuous detection window duration in the period before the power equipment overhaul;

acquiring the proportion of the leakage time in any detection window duration before the power equipment overhaul to the detection window duration;

judging whether the proportion of the leakage time in any detection window duration before the maintenance of the power equipment to the detection window duration is equal to or greater than the ratio of the leakage duration after the maintenance to the total duration;

if yes, judging that the overhaul of the power equipment is effective;

and if not, judging that the overhaul of the power equipment is invalid.

7. The method of claim 1, comprising,

receiving the maintenance sequence;

and overhauling the electric equipment to be overhauled according to the overhauling sequence.

8. An electrical safety supervision service system, comprising,

the positioning unit is used for acquiring the position of the power equipment in the management area;

the information collection unit is used for continuously obtaining the monitoring result of the leakage sensor in the management area to obtain the leakage time of the power equipment;

the maintenance allocation unit is used for obtaining the distribution range of the electric power equipment with electric leakage in the management area in different historic time periods according to the position of the electric power equipment and the electric leakage time;

for each history different period, acquiring the leakage time length of the electric power equipment with leakage in the management area;

obtaining a plurality of to-be-inspected power devices in the management area in different time periods of each history according to the positions of the power devices in the management area and the leakage time length of the leakage in the different time periods of each history;

generating an overhaul sequence according to the leakage time of each electric device to be investigated;

the overhaul unit is used for overhauling the electric equipment to be overhauled according to the overhaul sequence;

wherein the step of obtaining the position distribution of the electric power equipment with electric leakage in the management area in different historic time periods according to the position of the electric power equipment and the electric leakage time comprises the following steps of,

obtaining the monitoring duration of the power equipment according to the distribution range of the leakage time of the power equipment;

obtaining common divisors of monitoring time durations of all the power equipment in the management area as statistical time durations;

performing time segmentation according to the statistical duration to obtain the position distribution of the electric power equipment with electric leakage in the management area in the time period of each statistical duration;

wherein the step of obtaining a plurality of to-be-inspected power equipment in the management area in each history different period according to the position and the leakage time length of the electric equipment in the management area in each history different period comprises the steps of,

during the time period of each statistical duration,

obtaining a three-dimensional vector consisting of two-dimensional coordinates of the electric equipment subjected to electric leakage and electric leakage time length according to the position of the electric equipment subjected to electric leakage and the electric leakage time length in the management area, wherein the three-dimensional vector is used as a quantization index of the electric equipment subjected to electric leakage;

selecting a plurality of investigation regions and electric equipment to be investigated in each investigation region according to the quantization index of each electric equipment subjected to electric leakage;

summarizing all the equipment to be inspected in the inspection area in each time period of the statistical duration to obtain a plurality of electric equipment to be inspected in the management area in different time periods of each history.