CN117993895A

CN117993895A - Full life cycle management system of power grid equipment

Info

Publication number: CN117993895A
Application number: CN202410402441.8A
Authority: CN
Inventors: 杨帆; 唐越; 刘士李; 陈付雷; 郝雨; 赵迎迎; 李建青; 黄道友; 郝韩兵; 高象; 沈思; 方天睿; 施晓敏; 许家俊; 付安媛; 李�荣; 夏雅利; 陆欣欣
Original assignee: Economic and Technological Research Institute of State Grid Anhui Electric Power Co Ltd
Current assignee: Economic and Technological Research Institute of State Grid Anhui Electric Power Co Ltd
Priority date: 2024-04-03
Filing date: 2024-04-03
Publication date: 2024-05-07

Abstract

The invention discloses a full life cycle management system of power grid equipment. The full life cycle management system of the power grid equipment comprises: and a data acquisition module: the method comprises the steps of monitoring power grid equipment in real time and obtaining power grid equipment parameter data; an index calculating module: the method comprises the steps of obtaining an actual state evaluation index of equipment according to power grid equipment parameter data; an analysis and early warning module: and the system is used for analyzing the running state of the power grid equipment according to the equipment actual state evaluation index and carrying out early warning reminding. According to the invention, the actual state evaluation index of the equipment is obtained according to the equipment monitoring evaluation index data, and the running state of the power grid equipment is analyzed according to the actual state evaluation index of the equipment and early warning and reminding are carried out, so that the state of the power grid equipment is conveniently and rapidly determined, corresponding measures are taken, the power grid equipment is accurately and efficiently managed comprehensively, and the problem that the power grid equipment is difficult to manage comprehensively in the prior art is solved.

Description

Full life cycle management system of power grid equipment

Technical Field

The invention relates to the technical field of power grid equipment management, in particular to a full life cycle management system of power grid equipment.

Background

The power grid is one of the infrastructures of modern society and provides necessary power for various industries. Grid devices are the infrastructure of the grid, and the reliability and efficiency of the grid devices are directly related to the stability of the power supply. With the expansion of the power grid scale and the increase of the equipment types, the traditional paper recording and manual management mode is still in use, but because a lot of time is consumed and the efficiency is low for finding out required data from manually recorded data, the management requirement of modern power grid equipment is difficult to meet, and therefore a full life cycle management system of the power grid equipment is needed.

The existing power grid equipment management system is characterized in that a worker is arranged to check specific power grid equipment at fixed time and record data, and when the worker finds that the power grid equipment is in an abnormal state, the worker is arranged to repair related maintenance workers, so that a power grid equipment management function is realized.

For example, publication No.: CN114372771a patent publication discloses a power grid equipment full life cycle monitoring system based on shared service, which comprises: the system comprises a network communication safety monitoring module, a hardware equipment safety monitoring module, a data safety monitoring module and an operation and maintenance safety monitoring module, wherein the network communication safety monitoring module is used for monitoring network communication safety of power grid equipment, the hardware equipment safety monitoring module is used for monitoring hardware safety in the power grid equipment, the data safety monitoring module is used for monitoring data safety of the power grid equipment, and the operation and maintenance safety monitoring module is used for monitoring operation and maintenance safety of the power grid equipment.

For example, bulletin numbers: CN112330101B patent publication discloses an intelligent management platform for power distribution network equipment, which comprises: the system comprises a generation storage unit, a learning unit, a processing unit, a shifting unit, a data repository and a processor, wherein a transmitting end of the generation storage unit is in signal connection with a receiving end of the data repository, the transmitting end of the data repository is in signal connection with the learning unit, the processing unit and the receiving end of the processor, and the transmitting end of the processor is in signal connection with the receiving end of the shifting unit. The intelligent management platform of the power distribution network equipment generates a unique two-dimensional code and a digital code identification plate through a two-dimensional code generation module and a digital code generation module corresponding to a tower pole, converts the generated unique two-dimensional code and the digital code into a data signal through a two-dimensional code and digital code conversion module, encrypts the converted digital signal through an encryption module, prevents loss in a storage process, and meanwhile judges through a judgment module in the encryption process, and deletes the missing and messy code data through a deletion module.

However, in the process of implementing the technical scheme of the embodiment of the application, the application discovers that the above technology has at least the following technical problems:

In the prior art, as the data types of the power grid equipment to be monitored are too many, the efficiency of staff in analyzing the state of the power grid equipment is low, and the problem that the power grid equipment is difficult to comprehensively manage exists.

Disclosure of Invention

The embodiment of the application solves the problem that the power grid equipment is difficult to comprehensively manage in the prior art by providing the full life cycle management system of the power grid equipment, and realizes the efficient and accurate definition of the state of the power grid equipment.

The embodiment of the application provides a full life cycle management system of power grid equipment, which comprises the following components: the system comprises a data acquisition module, an index calculation module and an analysis and early warning module; wherein, the data acquisition module: the method comprises the steps of monitoring power grid equipment in real time and obtaining power grid equipment parameter data; the index calculation module: the method comprises the steps of obtaining an equipment actual state evaluation index according to power grid equipment parameter data, wherein the equipment actual state evaluation index is used for reflecting the degree of well-being of comprehensively evaluating the actual state of power grid equipment; the analysis and early warning module is used for: and the system is used for analyzing the running state of the power grid equipment according to the equipment actual state evaluation index and carrying out early warning reminding.

Further, the specific analysis process for obtaining the actual state evaluation index of the equipment according to the power grid equipment parameter data is as follows: acquiring power grid equipment parameter data, wherein the power grid equipment parameter data comprises equipment maintenance degree parameter data, equipment well degree parameter data, equipment update degree parameter data and equipment use degree parameter data; analyzing and obtaining equipment monitoring evaluation index data according to power grid equipment parameter data, wherein the equipment monitoring evaluation index data comprises equipment maintenance degree evaluation indexes, equipment well degree evaluation indexes, equipment update degree evaluation indexes and equipment use degree evaluation indexes; the equipment maintenance degree evaluation index represents data for comprehensively evaluating the maintenance degree of the power grid equipment through the data of the cleaning treatment times of the power grid equipment, the data of the lubrication treatment times of the power grid equipment and the data of the fastening treatment times of the power grid equipment; the equipment well degree evaluation index is used for comprehensively evaluating the data of the well degree of the power grid equipment through the appearance well degree data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of sound emitted by the power grid equipment; the equipment updating degree evaluation index is used for comprehensively evaluating the data of the updating degree of the power grid equipment through the aging degree data of the power grid equipment, the working efficiency data of the power grid equipment and the actual power data of the power grid equipment; the equipment use degree evaluation index represents data for comprehensively evaluating the use degree of the power grid equipment through the power grid equipment use voltage data and the power grid equipment use current data; and obtaining the actual state evaluation index of the equipment according to the equipment monitoring evaluation index data.

Further, the specific analysis process of the equipment maintenance degree evaluation index is as follows: acquiring equipment maintenance degree parameter data of power grid equipment, wherein the equipment maintenance degree parameter data comprises frequency data of cleaning treatment performed by the power grid equipment, frequency data of lubrication treatment performed by the power grid equipment and frequency data of fastening treatment performed by the power grid equipment; performing data cleaning and preprocessing on the obtained equipment maintenance degree parameter data; the method comprises the steps of converting frequency data of cleaning treatment of power grid equipment, frequency data of lubrication treatment of power grid equipment and frequency data of fastening treatment of power grid equipment into a uniform format; and distributing weights to the frequency data of the cleaning treatment of the power grid equipment, the frequency data of the lubrication treatment of the power grid equipment and the frequency data of the fastening treatment of the power grid equipment in the equipment maintenance degree parameter data, and analyzing to obtain a maintenance degree evaluation index of the power grid equipment.

Further, the specific analysis process of the device well-being evaluation index is as follows: acquiring equipment well-being degree parameter data of power grid equipment, wherein the equipment well-being degree parameter data comprise appearance well-being degree data of the power grid equipment, surface temperature data of the power grid equipment, vibration amplitude data of the power grid equipment and loudness data of sound emitted by the power grid equipment; normalizing the appearance integrity data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of sound emitted by the power grid equipment to the same magnitude and range; and distributing weights according to the appearance integrity data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of the sound emitted by the power grid equipment, and comprehensively analyzing to obtain the equipment well degree evaluation index.

Further, the specific analysis process of the device update degree evaluation index is as follows: acquiring equipment updating degree parameter data of power grid equipment, wherein the equipment updating degree parameter data comprises power grid equipment aging degree data, power grid equipment working efficiency data and power grid equipment actual power data; normalizing the aging degree data of the power grid equipment, the working efficiency data of the power grid equipment and the actual power data of the power grid equipment to the same magnitude and range; and (3) distributing weight to the power grid equipment ageing degree data, the power grid equipment working efficiency data and the power grid equipment actual power data, and comprehensively analyzing to obtain an equipment updating degree evaluation index.

Further, the specific analysis process of the equipment use degree evaluation index is as follows: acquiring equipment use degree parameter data of power grid equipment, wherein the equipment use degree parameter data comprises power grid equipment use voltage data, power grid equipment use voltage data maximum value, power grid equipment use voltage data minimum value, power grid equipment use current data maximum value and power grid equipment use current data minimum value; sequentially arranging all acquired power grid equipment using voltage data according to the sequence from large to small, extracting power grid equipment vibration amplitude data, ranking the first power grid equipment using voltage data and the last power grid equipment using voltage data, and taking the first power grid equipment using voltage data and the last power grid equipment using voltage data as the maximum value and the minimum value of the power grid equipment using voltage data; sequentially arranging all acquired power grid equipment use current data according to the sequence from large to small, extracting power grid equipment vibration amplitude data, ranking the first power grid equipment use current data and the last power grid equipment use current data, and taking the first power grid equipment use current data and the last power grid equipment use current data as the maximum value and the minimum value of the power grid equipment use current data; normalizing the grid device usage voltage data and the grid device usage current data to the same magnitude and range; and distributing weights according to the power grid equipment use voltage data and the power grid equipment use current data to the importance of the power grid equipment use degree evaluation, and comprehensively analyzing to obtain an equipment use degree evaluation index.

Further, the specific analysis process for obtaining the actual state evaluation index of the device according to the device monitoring evaluation index data is as follows: acquiring equipment monitoring evaluation index data, when the ratio of the equipment monitoring evaluation index data to the maximum value of the equipment monitoring evaluation index data exceeds a first threshold value or the ratio of the equipment monitoring evaluation index data to the minimum value of the equipment monitoring evaluation index data is lower than a second threshold value, indicating that the equipment monitoring evaluation index data is abnormal, and recalculating the equipment monitoring evaluation index data; when the ratio of the equipment monitoring evaluation index data to the maximum value of the equipment monitoring evaluation index data is not greater than a first threshold value and the ratio of the equipment monitoring evaluation index data to the minimum value of the equipment monitoring evaluation index data is not less than a second threshold value, the equipment monitoring evaluation index data is indicated to be normal; and comprehensively analyzing the normal equipment monitoring evaluation index data to obtain the actual state evaluation index of the equipment.

Further, the specific method for obtaining the actual state evaluation index of the device comprises the following steps: numbering the preset time period; acquiring the number data of the power grid equipment, and numbering the power grid equipment; acquiring equipment monitoring evaluation index data; constructing a calculation formula of an actual state evaluation index of the equipment; the calculation formula of the actual state evaluation index of the specific equipment is as follows:

in the above, the ratio of/> Expressed as/>The individual network devices are at the/>The actual state evaluation index of the device for a preset period of time,，/>Expressed as the total number of preset time periods,/>，/>Expressed as the total number of network devices,Expressed as/>The individual network devices are at the/>Equipment maintenance degree evaluation index for each preset time period,/>Expressed as/>The individual network devices are at the/>Device well-being assessment index for each preset time period,/>Expressed as/>The individual network devices are at the/>Device update degree evaluation index for each preset time period,/>Expressed as/>The individual network devices are at the/>Device usage assessment index for a preset period of time,/>And/>The device maintenance degree evaluation index, the device well degree evaluation index, the device update degree evaluation index and the device use degree evaluation index are respectively expressed as weight proportion of the device actual state evaluation index.

Further, the specific method for obtaining the equipment maintenance degree evaluation index comprises the following steps: numbering the preset time period; acquiring the number data of the power grid equipment, and numbering the power grid equipment; carrying out multiple data acquisition on the power grid equipment, and numbering the data acquisition times; extracting the frequency data of the cleaning treatment of the power grid equipment, the frequency data of the lubrication treatment of the power grid equipment and the frequency data of the fastening treatment of the power grid equipment from the equipment maintenance degree parameter data; constructing a device maintenance degree evaluation index calculation formula; the specific calculation formula of the equipment maintenance degree evaluation index is as follows:

in the above, the ratio of/> Expressed as/>The individual network devices are at the/>A device maintenance level evaluation index for a preset period of time,，/>Expressed as the total number of preset time periods,/>，/>Expressed as the total number of network devices,Expressed as/>The individual network devices are at the/>First/>, of the preset time periodThe power grid equipment performs cleaning treatment frequency data in the process of acquiring the frequency data,/>，/>Expressed as total number of data acquisitions,/>Denoted as the firstCleaning standard frequency data of power grid equipment of each power grid equipment,/>Expressed as/>The individual network devices are at the/>First/>, of the preset time periodThe power grid equipment performs lubrication processing time data during secondary data acquisition,Expressed as/>Lubrication processing standard frequency data of power grid equipment of each power grid equipment,/>Expressed as/>The individual network devices are at the/>First/>, of the preset time periodFastening processing frequency data of power grid equipment during frequency data acquisition,/>Expressed as/>The grid devices of the individual grid devices perform the fastening processing of the standard frequency data,And/>The method comprises the steps of respectively representing the weight proportion of the power grid equipment cleaning treatment frequency data, the power grid equipment lubrication treatment frequency data and the power grid equipment fastening treatment frequency data in the equipment maintenance degree evaluation index.

Further, the specific analysis process of analyzing the running state of the power grid equipment and performing early warning reminding is as follows: acquiring an actual state evaluation index of the power grid equipment in a preset time period, acquiring a state evaluation threshold, and indicating that the power grid equipment is in a normal running state in the preset time period and not carrying out early warning reminding when the actual state evaluation index of the power grid equipment is larger than or equal to the state evaluation threshold; and when the actual state evaluation index of the equipment is smaller than the state evaluation threshold, the power grid equipment is in an abnormal state in a preset time period, and early warning and reminding are carried out.

One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:

1. The power grid equipment parameter data is obtained, the equipment monitoring evaluation index data is obtained according to the power grid equipment parameter data analysis, the equipment actual state evaluation index is obtained according to the equipment monitoring evaluation index data, and the running state of the power grid equipment is analyzed according to the equipment actual state evaluation index and early warning reminding is carried out, so that the state of the power grid equipment is conveniently and rapidly determined, corresponding measures are taken, the power grid equipment is accurately and efficiently managed comprehensively, and the problem that the power grid equipment is difficult to manage comprehensively in the prior art is effectively solved.

2. The device actual state evaluation index is obtained through analysis from four aspects of the device maintenance degree evaluation index, the device well degree evaluation index, the device update degree evaluation index and the device use degree evaluation index, so that the device actual state evaluation index is more comprehensively considered, and the running state of the power grid device is more accurately analyzed according to the device actual state evaluation index.

3. The running state of the power grid equipment is analyzed according to the equipment actual state evaluation index, and early warning reminding is carried out, so that a worker can timely find that the power grid equipment is in an abnormal state and arrange maintenance workers to maintain, and further economic loss caused by the fact that the power grid equipment is in the abnormal state for a long time is reduced.

Drawings

Fig. 1 is a schematic structural diagram of a full life cycle management system of a power grid device according to an embodiment of the present application;

FIG. 2 is a flowchart of obtaining an actual state evaluation index of a device in a full life cycle management system of a power grid device according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an actual state evaluation index of a device obtained in the full life cycle management system of power grid equipment according to an embodiment of the present application.

Detailed Description

The embodiment of the application solves the problem that the power grid equipment is difficult to comprehensively manage in the prior art by providing the full life cycle management system of the power grid equipment, and monitors the power grid equipment in real time and acquires the parameter data of the power grid equipment through the data acquisition module; obtaining an actual state evaluation index of the equipment according to the parameter data of the power grid equipment through an index calculation module; the analysis and early warning module analyzes the running state of the power grid equipment according to the equipment actual state evaluation index and carries out early warning and reminding, so that the state of the power grid equipment is effectively and accurately determined.

The technical scheme in the embodiment of the application aims to solve the problem that the power grid equipment is difficult to comprehensively manage, and the overall thought is as follows:

The method comprises the steps that real-time monitoring is conducted on power grid equipment through a data acquisition module, and parameter data of the power grid equipment are acquired; obtaining an actual state evaluation index of the equipment according to the parameter data of the power grid equipment through an index calculation module, wherein the method comprises the following steps: obtaining equipment maintenance degree evaluation index, equipment well degree evaluation index, equipment update degree evaluation index, equipment use degree evaluation index and other equipment monitoring evaluation index data according to the equipment maintenance degree parameter data, the equipment well degree parameter data, the equipment update degree parameter data, the equipment use degree parameter data and other power grid equipment parameter data, and obtaining equipment actual state evaluation index according to the equipment monitoring evaluation index data; the operation state of the power grid equipment is analyzed and early warning reminding is carried out by the analysis early warning module according to the actual state evaluation index of the equipment, so that the effect of efficiently and accurately determining the state of the power grid equipment is achieved.

In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.

As shown in fig. 1, a schematic structural diagram of a full life cycle management system of a power grid device according to an embodiment of the present application is shown, where the full life cycle management system of a power grid device according to an embodiment of the present application includes: the system comprises a data acquisition module, an index calculation module and an analysis and early warning module; wherein, the data acquisition module: the method comprises the steps of monitoring power grid equipment in real time and obtaining power grid equipment parameter data; an index calculating module: the method comprises the steps that an equipment actual state evaluation index is obtained according to power grid equipment parameter data, and the equipment actual state evaluation index is used for reflecting the degree of well-being of comprehensively evaluating the actual state of power grid equipment; an analysis and early warning module: and the system is used for analyzing the running state of the power grid equipment according to the equipment actual state evaluation index and carrying out early warning reminding.

Further, the specific analysis process for obtaining the actual state evaluation index of the equipment according to the power grid equipment parameter data is as follows: acquiring power grid equipment parameter data, wherein the power grid equipment parameter data comprises equipment maintenance degree parameter data, equipment well degree parameter data, equipment update degree parameter data and equipment use degree parameter data; analyzing according to the power grid equipment parameter data to obtain equipment monitoring evaluation index data, wherein the equipment monitoring evaluation index data comprises equipment maintenance degree evaluation indexes, equipment well degree evaluation indexes, equipment update degree evaluation indexes and equipment use degree evaluation indexes; the equipment maintenance degree evaluation index represents the data of comprehensively evaluating the maintenance degree of the power grid equipment through the data of the cleaning treatment times of the power grid equipment, the data of the lubrication treatment times of the power grid equipment and the data of the fastening treatment times of the power grid equipment; the equipment well-being evaluation index represents the data for comprehensively evaluating the well-being of the power grid equipment through the power grid equipment appearance well-being data, the power grid equipment surface temperature data, the power grid equipment vibration amplitude data and the power grid equipment sounding loudness data; the equipment updating degree evaluation index is used for comprehensively evaluating the data of the updating degree of the power grid equipment through the aging degree data of the power grid equipment, the working efficiency data of the power grid equipment and the actual power data of the power grid equipment; the equipment use degree evaluation index represents data for comprehensively evaluating the use degree of the power grid equipment through the power grid equipment use voltage data and the power grid equipment use current data; and obtaining the actual state evaluation index of the equipment according to the equipment monitoring evaluation index data.

In this embodiment, as shown in fig. 2, a flowchart for obtaining an actual state evaluation index of a device in a full life cycle management system of a power grid device provided by the embodiment of the present application performs data integration, data conversion, data cleaning and preprocessing on power grid device parameter data such as device maintenance degree parameter data, device well degree parameter data, device update degree parameter data and device usage degree parameter data, so that accuracy of the power grid device parameter data is higher, and more accurate device monitoring evaluation index data is facilitated.

In this embodiment, the device maintenance degree parameter data of the power grid device is recorded through a manually recorded paper log or an electronic system, such as a maintenance management system or an internet of things device; the power grid equipment is monitored in real time through the data collector, equipment maintenance conditions are recorded, and the data of the times of cleaning treatment of the power grid equipment, the data of the times of lubrication treatment of the power grid equipment and the data of the times of fastening treatment of the power grid equipment are obtained. The grid equipment is regularly checked and audited during the data recording to ensure accuracy and integrity of the data.

The larger the equipment maintenance degree evaluation index is, the better the degree of the maintenance of the power grid equipment is, and the more difficult the power grid equipment is to break down; the smaller the equipment maintenance degree evaluation index, the worse the degree of the maintenance of the power grid equipment, and the more likely the power grid equipment is to fail.

Further, the specific analysis process of the equipment well-being evaluation index is as follows: acquiring equipment well-being degree parameter data of power grid equipment, wherein the equipment well-being degree parameter data comprise appearance well-being degree data of the power grid equipment, surface temperature data of the power grid equipment, vibration amplitude data of the power grid equipment and sound loudness data sent by the power grid equipment; normalizing the appearance integrity data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of sound emitted by the power grid equipment to the same magnitude and range; and distributing weights according to the appearance integrity data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of the sound emitted by the power grid equipment, and comprehensively analyzing to obtain the equipment well degree evaluation index.

In this embodiment, the appearance integrity data of the power grid device is obtained through visual inspection or by using a special detection device such as a camera or a scanner; monitoring in real time by using a temperature sensor and acquiring surface temperature data of power grid equipment; collecting power grid equipment vibration amplitude data when equipment operates by using a vibration sensor; the sound loudness data is emitted by the power grid device of the device captured by a sound sensor or microphone.

In this embodiment, the aging degree data of the power grid equipment is obtained through periodic manual inspection, maintenance record of the power grid equipment or special detection of the power grid equipment; acquiring working efficiency data of power grid equipment by monitoring performance parameters of the power grid equipment; measuring the power consumption of the power grid equipment in real time through a power monitoring instrument to obtain actual power data of the power grid equipment; the standard ageing degree data, the standard working efficiency data and the standard power data of the power grid equipment are obtained through analysis based on design parameters of the power grid equipment, specifications provided by manufacturers or historical data.

In the embodiment, the power grid equipment is monitored in real time through a voltage sensor or a voltmeter, and the using voltage data of the power grid equipment are obtained; the method comprises the steps that real-time monitoring is conducted on power grid equipment through an ammeter or a current sensor, and current data used by the power grid equipment are obtained; and analyzing and obtaining standard use voltage and current data of the power grid equipment according to design parameters of the power grid equipment, specifications provided by a manufacturer or historical data.

Further, the specific analysis process for obtaining the actual state evaluation index of the equipment according to the equipment monitoring evaluation index data is as follows: acquiring equipment monitoring evaluation index data, when the ratio of the equipment monitoring evaluation index data to the maximum value of the equipment monitoring evaluation index data exceeds a first threshold value or the ratio of the equipment monitoring evaluation index data to the minimum value of the equipment monitoring evaluation index data is lower than a second threshold value, indicating that the equipment monitoring evaluation index data is abnormal, and recalculating the equipment monitoring evaluation index data; when the ratio of the equipment monitoring evaluation index data to the maximum value of the equipment monitoring evaluation index data is not greater than a first threshold value and the ratio of the equipment monitoring evaluation index data to the minimum value of the equipment monitoring evaluation index data is not less than a second threshold value, the equipment monitoring evaluation index data is indicated to be normal; and comprehensively analyzing the normal equipment monitoring evaluation index data to obtain the actual state evaluation index of the equipment.

In this embodiment, when the ratio of the device monitoring evaluation index data to the maximum value of the device monitoring evaluation index data exceeds the first threshold, i.e.、/>、/>AndOr the ratio of the device monitoring evaluation index data to the minimum value of the device monitoring evaluation index data is lower than a second threshold value, namely/>、/>、/>AndIndicating that the device monitors the evaluation index data for anomalies, and re-calculating the device monitors the evaluation index data.

When the ratio of the device monitoring evaluation index data to the maximum value of the device monitoring evaluation index data is not greater than the first threshold value and the ratio of the device monitoring evaluation index data to the minimum value of the device monitoring evaluation index data is not less than the second threshold value, namelyAnd/>、/>And/>、And/>/>And/>Indicating that the device monitoring evaluation index data is normal.

Further, the specific acquisition method of the equipment actual state evaluation index comprises the following steps: numbering the preset time period; acquiring the number data of the power grid equipment, and numbering the power grid equipment; acquiring equipment monitoring evaluation index data; constructing a calculation formula of an actual state evaluation index of the equipment; the device actual state assessment index may be obtained using the following means, including but not limited to: checking and maintaining the power grid equipment regularly, analyzing the fault cause and evaluating the state of the equipment through fault analysis and diagnosis technology when the power grid equipment has faults or anomalies; according to the operation data, maintenance records and fault history of the equipment, calculating the reliability index of the power grid equipment so as to quantify the state well degree of the equipment; the calculation formula can also be obtained by a calculation formula, and the calculation formula of the actual state evaluation index of the specific equipment is as follows:

In this embodiment, as shown in fig. 3, a schematic structural diagram of an actual state evaluation index of a device obtained in a full life cycle management system of a power grid device according to an embodiment of the present application may be obtained by other methods, including: time period number: numbering the preset time period. And (3) acquiring power grid equipment data: and collecting the number data of the power grid equipment to be managed, and numbering the equipment. Constructing a calculation formula of an actual state evaluation index of the equipment: and calculating an equipment maintenance degree evaluation index, an equipment well degree evaluation index, an equipment update degree evaluation index and an equipment use degree evaluation index of the power grid equipment in a preset time period according to the collected data, and constructing an equipment actual state evaluation index calculation formula by using the weight proportion. Obtaining an actual state evaluation index of the equipment: and obtaining the actual state evaluation index of the equipment through an actual state evaluation index calculation formula of the equipment.

The larger the equipment actual state evaluation index is, the better the running state of the power grid equipment is, and the more difficult the power grid equipment is to fail; the smaller the device actual state evaluation index, the worse the running state of the power grid device, and the more likely the power grid device is to fail.

Further, the specific acquisition method of the equipment maintenance degree evaluation index comprises the following steps: numbering the preset time period; acquiring the number data of the power grid equipment, and numbering the power grid equipment; carrying out multiple data acquisition on the power grid equipment, and numbering the data acquisition times; extracting the frequency data of the cleaning treatment of the power grid equipment, the frequency data of the lubrication treatment of the power grid equipment and the frequency data of the fastening treatment of the power grid equipment from the equipment maintenance degree parameter data; constructing a device maintenance degree evaluation index calculation formula; the equipment maintenance level assessment index may be obtained using the following means including, but not limited to: maintaining record examination to evaluate the frequency and quality of grid equipment maintenance; the effectiveness of maintenance measures is determined by comparing the performance indexes of the equipment before and after the maintenance of the power grid equipment and evaluating the maintenance effect; the evaluation index can also be obtained by a calculation formula, and the specific equipment maintenance degree evaluation index calculation formula is as follows:

in the above, the ratio of/> Expressed as/>The individual network devices are at the/>A device maintenance level evaluation index for a preset period of time,，/>Expressed as the total number of preset time periods,/>，/>Expressed as the total number of network devices,Expressed as/>The individual network devices are at the/>First/>, of the preset time periodThe frequency data of the cleaning treatment performed by the power grid equipment during secondary data acquisition represents the total frequency of the cleaning treatment performed by the power grid equipment in a preset time period,/>，/>Expressed as total number of data acquisitions,/>Denoted as the firstThe power grid equipment of the individual power grid equipment performs cleaning treatment standard frequency data, wherein the power grid equipment performs cleaning treatment standard frequency data represents the frequency of the power grid equipment which should perform cleaning treatment in a preset time period, and the frequency is/are shown in the specificationExpressed as/>The individual network devices are at the/>First/>, of the preset time periodThe power grid equipment performs lubrication processing frequency data when the secondary data is acquired, the power grid equipment performs lubrication processing frequency data represents the total frequency of the power grid equipment performing lubrication processing in a preset time period,Expressed as/>The power grid equipment of the individual power grid equipment performs lubrication processing standard frequency data, wherein the power grid equipment performs lubrication processing standard frequency data represents the frequency of the power grid equipment which should perform lubrication processing in a preset time period, and the frequency is/is equal to the frequency of the power grid equipment which should perform lubrication processing in the preset time periodExpressed as/>The individual network devices are at the/>First/>, of the preset time periodThe frequency data of fastening processing performed by the power grid equipment during secondary data acquisition represents the total frequency of fastening processing performed by the power grid equipment in a preset time period,/>Expressed as/>The power grid equipment of each power grid equipment performs fastening processing standard frequency data, wherein the power grid equipment performs fastening processing standard frequency data represents the frequency of fastening processing of the power grid equipment in a preset time period,/>And/>The method comprises the steps of respectively representing the weight proportion of the power grid equipment cleaning treatment frequency data, the power grid equipment lubrication treatment frequency data and the power grid equipment fastening treatment frequency data in the equipment maintenance degree evaluation index.

In this embodiment, the device maintenance level evaluation index may also be obtained by other manners, including: the method comprises the steps of monitoring power grid equipment in real time, obtaining data of lubrication processing times and tightening processing times of the power grid equipment, cleaning and preprocessing the obtained data of the lubrication processing times and tightening processing times of the power grid equipment, constructing an equipment maintenance degree evaluation index calculation formula by combining the data of the lubrication processing times and the tightening processing times of the power grid equipment, and obtaining an equipment maintenance degree evaluation index through the equipment maintenance degree evaluation index calculation formula.

Further, the specific analysis process of analyzing the running state of the power grid equipment and carrying out early warning reminding comprises the following steps: acquiring an actual state evaluation index of the power grid equipment in a preset time period, acquiring a state evaluation threshold, and indicating that the power grid equipment is in a normal running state in the preset time period and not carrying out early warning reminding when the actual state evaluation index of the power grid equipment is larger than or equal to the state evaluation threshold; and when the actual state evaluation index of the equipment is smaller than the state evaluation threshold, the power grid equipment is in an abnormal state in a preset time period, and early warning and reminding are carried out.

In this embodiment, the actual state evaluation index of the power grid device in the preset period of time is obtained, the state evaluation threshold is obtained, and when the actual state evaluation index of the power grid device is greater than or equal to the state evaluation threshold, namelyThe method is characterized in that the power grid equipment is in a normal running state in a preset time period, and early warning reminding is not carried out; when the device actual state evaluation index is less than the state evaluation threshold, i.e. >The method indicates that the power grid equipment is in an abnormal state in a preset time period, and early warning reminding is carried out.

Further, the appearance integrity data, the surface temperature data, the vibration amplitude data and the sound loudness data of the power grid equipment are extracted from the equipment well-being parameter data; the goodness assessment index may be obtained using the following means, including but not limited to: performing electrical tests regularly, and evaluating the state of the equipment in real time by using an online monitoring system; checking maintenance records of the equipment, analyzing, and evaluating the overall performance of the equipment through key performance indexes; the device well-being evaluation index can also be obtained by a calculation formula, wherein the specific calculation formula of the device well-being evaluation index is as follows:

in the above, the ratio of/> Expressed as/>The individual network devices are at the/>A device well-being evaluation index for a preset period of time,Expressed as/>The individual network devices are at the/>First/>, of the preset time periodAppearance integrity data of power grid equipment during secondary data acquisition, wherein the appearance integrity data of the power grid equipment represent the data of the appearance damage degree of the power grid equipment,/>Expressed as/>Grid equipment standard appearance integrity data of individual grid equipment, wherein the grid equipment standard appearance integrity data represents data that the damage degree of the grid equipment appearance reaches the scrapping standard,/>Denoted as the firstThe individual network devices are at the/>First/>, of the preset time periodGrid equipment surface temperature data during secondary data acquisition, wherein the grid equipment surface temperature data represent data of the surface temperature of the grid equipment, and the data of the surface temperature of the grid equipment are expressed by the data of the surface temperature of the grid equipmentExpressed as/>Grid equipment standard surface temperature data of individual grid equipment, wherein the grid equipment standard surface temperature data represents data of surface temperature of the grid equipment under the condition of normal operation,/>Expressed as/>The individual network devices are at the/>First/>, of the preset time periodGrid equipment vibration amplitude data during secondary data acquisition, wherein the grid equipment vibration amplitude data represent vibration amplitude data of vibration of grid equipment,/>Expressed as/>Grid equipment standard vibration amplitude data of each grid equipment, wherein the grid equipment standard vibration amplitude data represents vibration amplitude data of the grid equipment under the normal operation condition,/>Expressed as/>The individual network devices are at the/>First/>, of the preset time periodThe power grid equipment sends out sound loudness data during secondary data acquisition, and the power grid equipment sends out sound loudness data to represent data of sound loudness sent out by the power grid equipment,/>Expressed as/>The standard sounding loudness data of the power grid equipment of the individual power grid equipment, wherein the standard sounding loudness data of the power grid equipment represents sounding loudness data of the power grid equipment under the normal running condition,/>And/>The method comprises the steps of respectively representing the weight proportion of the appearance integrity data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of sound emitted by the power grid equipment in an equipment well-being evaluation index; extracting power grid equipment aging degree data, power grid equipment working efficiency data and power grid equipment actual power data from the equipment updating degree parameter data; the update degree evaluation index may be obtained using the following means including, but not limited to: performing field checks and tests, including insulation tests, mechanical performance tests, and electrical performance tests, to evaluate the physical state and function of the device; analyzing maintenance records and fault histories of the equipment, and evaluating performance indexes of the equipment to evaluate the running state and performance of the equipment; the device update degree evaluation index can also be obtained by a calculation formula, and the specific calculation formula of the device update degree evaluation index is as follows:

in the above, the ratio of/> Expressed as/>The individual network devices are at the/>A device update degree evaluation index for a preset period of time,Expressed as/>The individual network devices are at the/>First/>, of the preset time periodGrid equipment aging degree data during secondary data acquisition, wherein the grid equipment aging degree data represent loss degree data of grid equipment, and the power grid equipment aging degree data are/Denoted as the firstGrid equipment standard ageing degree data of individual grid equipment, wherein the grid equipment standard ageing degree data represent loss degree data of the grid equipment reaching scrapping standards,/>Expressed as/>The individual network devices are at the/>First/>, of the preset time periodGrid equipment working efficiency data during secondary data acquisition, wherein the grid equipment working efficiency data represents the working efficiency data of the grid equipment, and the power grid equipment working efficiency data is/are obtained by the power grid equipmentExpressed as/>Grid equipment standard working efficiency data of the individual grid equipment, wherein the grid equipment standard working efficiency data represents working efficiency data of the grid equipment under the normal operation condition,/>Expressed as/>The individual network devices are at the/>First/>, of the preset time periodActual power data of power grid equipment during secondary data acquisition, wherein the actual power data of the power grid equipment represents the power data of the power grid equipment,/>Expressed as/>Grid equipment standard power data of the individual grid equipment, which represents the power data of the grid equipment under the normal operation condition,And/>The method comprises the steps of respectively representing the weight proportion of the power grid equipment aging degree data, the power grid equipment working efficiency data and the power grid equipment actual power data in an equipment updating degree evaluation index; extracting power grid equipment use voltage data, power grid equipment use voltage data maximum value, power grid equipment use voltage data minimum value, power grid equipment use current data maximum value and power grid equipment use current data minimum value from equipment use degree parameter data; the update degree evaluation index may be obtained using the following means including, but not limited to: power analysis to evaluate the load condition and performance of the device; energy efficiency evaluation is carried out to determine the energy utilization efficiency of the equipment; failure rate and failure mode analysis to evaluate the safety and reliability of the device; the device usage degree evaluation index can also be obtained by a calculation formula, and the specific calculation formula of the device usage degree evaluation index is as follows: /(I)

In the above, the ratio of/>Expressed as/>The individual network devices are at the/>A device usage level evaluation index for a preset period of time,Expressed as/>The individual network devices are at the/>First/>, of the preset time periodThe power grid equipment uses voltage data when the secondary data is acquired, and the power grid equipment uses voltage data to represent the voltage data used by the power grid equipment,/>Denoted as the firstThe individual network devices are at the/>The power grid equipment in a preset time period uses a voltage data maximum value, and the power grid equipment uses the voltage data maximum value to represent the voltage data maximum value used by the power grid equipment,/>Expressed as/>The power grid equipment is at the firstThe minimum value of the voltage data used by the power grid equipment in a preset time period is represented by the minimum value of the voltage data used by the power grid equipment,/>Expressed as/>The grid equipment standard usage voltage data of the individual grid equipment, which represents the voltage data used by the grid equipment in normal operation,Expressed as/>The individual network devices are at the/>First/>, of the preset time periodThe power grid equipment uses current data when the secondary data is acquired, and the power grid equipment uses the current data to represent the current data/>, used by the power grid equipmentDenoted as the firstThe individual network devices are at the/>The power grid equipment in a preset time period uses a current data maximum value, and the power grid equipment uses the current data maximum value to represent the current data maximum value used by the power grid equipment,/>Expressed as/>The power grid equipment is at the firstThe power grid equipment using current data minimum value in a preset time period, wherein the power grid equipment using current data minimum value represents the power grid equipment using current data minimum value,/>Expressed as/>Current data is used by a power grid device standard of each power grid device, and the current data used by the power grid device standard represents the current data used by the power grid device under the normal operation condition,/>AndThe weight proportion of the power grid equipment using voltage data and the power grid equipment using current data in the equipment using degree evaluation index is respectively expressed.

In this embodiment, the larger the device well-degree evaluation index is, the better the external state of the power grid device is, and the more difficult the power grid device is to fail; the smaller the device well-being evaluation index, the worse the external state of the power grid device, the more likely the power grid device is to fail.

The larger the equipment update degree evaluation index is, the lighter the loss degree of the power grid equipment is, and the more difficult the power grid equipment is to break down; the smaller the equipment update degree evaluation index is, the heavier the loss degree of the power grid equipment is, and the more the power grid equipment is prone to failure.

The larger the equipment use degree evaluation index is, the better the state of the power grid equipment is, and the more difficult the power grid equipment is to fail; the smaller the equipment usage degree evaluation index is, the worse the state of the power grid equipment is, and the more the power grid equipment is prone to failure.

The technical scheme provided by the embodiment of the application at least has the following technical effects or advantages: relative to publication No.: according to the power grid equipment full life cycle monitoring system based on the shared service disclosed by the CN114372771A patent published application, the equipment actual state evaluation index is obtained through analysis from four aspects of the equipment maintenance degree evaluation index, the equipment well degree evaluation index, the equipment updating degree evaluation index and the equipment use degree evaluation index, so that the equipment actual state evaluation index is considered more comprehensively, and the running state of the power grid equipment is analyzed more accurately according to the equipment actual state evaluation index; relative to the bulletin number: according to the intelligent management platform for the power distribution network equipment disclosed by the CN112330101B patent publication, the running state of the power distribution network equipment is analyzed according to the equipment actual state evaluation index and early warning reminding is carried out, so that a worker can timely find that the power distribution network equipment is in an abnormal state and arrange maintenance workers to maintain, and further economic loss caused by the fact that the power distribution network equipment is in the abnormal state for a long time is reduced.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of systems, apparatuses (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims

1. The utility model provides a full life cycle management system of electric wire netting equipment which characterized in that includes: the system comprises a data acquisition module, an index calculation module and an analysis and early warning module;

Wherein, the data acquisition module: the method comprises the steps of monitoring power grid equipment in real time and obtaining power grid equipment parameter data;

The index calculation module: the method comprises the steps of obtaining an equipment actual state evaluation index according to power grid equipment parameter data, wherein the equipment actual state evaluation index is used for reflecting the degree of well-being of comprehensively evaluating the actual state of power grid equipment;

the analysis and early warning module is used for: the system is used for analyzing the running state of the power grid equipment according to the equipment actual state evaluation index and carrying out early warning reminding;

the specific analysis process for obtaining the actual state evaluation index of the equipment according to the power grid equipment parameter data comprises the following steps:

Acquiring power grid equipment parameter data, wherein the power grid equipment parameter data comprises equipment maintenance degree parameter data, equipment well degree parameter data, equipment update degree parameter data and equipment use degree parameter data;

Analyzing and obtaining equipment monitoring evaluation index data according to power grid equipment parameter data, wherein the equipment monitoring evaluation index data comprises equipment maintenance degree evaluation indexes, equipment well degree evaluation indexes, equipment update degree evaluation indexes and equipment use degree evaluation indexes;

The equipment maintenance degree evaluation index represents data for comprehensively evaluating the maintenance degree of the power grid equipment through the data of the cleaning treatment times of the power grid equipment, the data of the lubrication treatment times of the power grid equipment and the data of the fastening treatment times of the power grid equipment;

The equipment well degree evaluation index is used for comprehensively evaluating the data of the well degree of the power grid equipment through the appearance well degree data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of sound emitted by the power grid equipment;

The equipment updating degree evaluation index is used for comprehensively evaluating the data of the updating degree of the power grid equipment through the aging degree data of the power grid equipment, the working efficiency data of the power grid equipment and the actual power data of the power grid equipment;

the equipment use degree evaluation index represents data for comprehensively evaluating the use degree of the power grid equipment through the power grid equipment use voltage data and the power grid equipment use current data;

and obtaining the actual state evaluation index of the equipment according to the equipment monitoring evaluation index data.

2. The system for managing the full life cycle of power grid equipment according to claim 1, wherein the specific analysis process of the equipment maintenance degree evaluation index is as follows:

Acquiring equipment maintenance degree parameter data of power grid equipment, wherein the equipment maintenance degree parameter data comprises frequency data of cleaning treatment performed by the power grid equipment, frequency data of lubrication treatment performed by the power grid equipment and frequency data of fastening treatment performed by the power grid equipment;

performing data cleaning and preprocessing on the obtained equipment maintenance degree parameter data;

the method comprises the steps of converting frequency data of cleaning treatment of power grid equipment, frequency data of lubrication treatment of power grid equipment and frequency data of fastening treatment of power grid equipment into a uniform format;

And distributing weights to the frequency data of the cleaning treatment of the power grid equipment, the frequency data of the lubrication treatment of the power grid equipment and the frequency data of the fastening treatment of the power grid equipment in the equipment maintenance degree parameter data, and analyzing to obtain a maintenance degree evaluation index of the power grid equipment.

3. The full life cycle management system of power grid equipment according to claim 1, wherein the specific analysis process of the equipment goodness assessment index is as follows:

Acquiring equipment well-being degree parameter data of power grid equipment, wherein the equipment well-being degree parameter data comprise appearance well-being degree data of the power grid equipment, surface temperature data of the power grid equipment, vibration amplitude data of the power grid equipment and loudness data of sound emitted by the power grid equipment;

Normalizing the appearance integrity data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of sound emitted by the power grid equipment to the same magnitude and range;

and distributing weights according to the appearance integrity data of the power grid equipment, the surface temperature data of the power grid equipment, the vibration amplitude data of the power grid equipment and the loudness data of the sound emitted by the power grid equipment, and comprehensively analyzing to obtain the equipment well degree evaluation index.

4. The system for managing the full life cycle of power grid equipment according to claim 1, wherein the specific analysis process of the equipment update degree evaluation index is as follows:

acquiring equipment updating degree parameter data of power grid equipment, wherein the equipment updating degree parameter data comprises power grid equipment aging degree data, power grid equipment working efficiency data and power grid equipment actual power data;

Normalizing the aging degree data of the power grid equipment, the working efficiency data of the power grid equipment and the actual power data of the power grid equipment to the same magnitude and range;

and (3) distributing weight to the power grid equipment ageing degree data, the power grid equipment working efficiency data and the power grid equipment actual power data, and comprehensively analyzing to obtain an equipment updating degree evaluation index.

5. The system for managing the full life cycle of power grid equipment according to claim 1, wherein the specific analysis process of the equipment usage degree evaluation index is as follows:

Acquiring equipment use degree parameter data of power grid equipment, wherein the equipment use degree parameter data comprises power grid equipment use voltage data, power grid equipment use voltage data maximum value, power grid equipment use voltage data minimum value, power grid equipment use current data maximum value and power grid equipment use current data minimum value;

Sequentially arranging all acquired power grid equipment using voltage data according to the sequence from large to small, extracting power grid equipment vibration amplitude data, ranking the first power grid equipment using voltage data and the last power grid equipment using voltage data, and taking the first power grid equipment using voltage data and the last power grid equipment using voltage data as the maximum value and the minimum value of the power grid equipment using voltage data;

Sequentially arranging all acquired power grid equipment use current data according to the sequence from large to small, extracting power grid equipment vibration amplitude data, ranking the first power grid equipment use current data and the last power grid equipment use current data, and taking the first power grid equipment use current data and the last power grid equipment use current data as the maximum value and the minimum value of the power grid equipment use current data;

Normalizing the grid device usage voltage data and the grid device usage current data to the same magnitude and range;

And distributing weights according to the power grid equipment use voltage data and the power grid equipment use current data to the importance of the power grid equipment use degree evaluation, and comprehensively analyzing to obtain an equipment use degree evaluation index.

6. The system for managing the complete life cycle of power grid equipment according to claim 1, wherein the specific analysis process for obtaining the actual state evaluation index of the equipment according to the equipment monitoring evaluation index data is as follows:

acquiring equipment monitoring evaluation index data, when the ratio of the equipment monitoring evaluation index data to the maximum value of the equipment monitoring evaluation index data exceeds a first threshold value or the ratio of the equipment monitoring evaluation index data to the minimum value of the equipment monitoring evaluation index data is lower than a second threshold value, indicating that the equipment monitoring evaluation index data is abnormal, and recalculating the equipment monitoring evaluation index data;

When the ratio of the equipment monitoring evaluation index data to the maximum value of the equipment monitoring evaluation index data is not greater than a first threshold value and the ratio of the equipment monitoring evaluation index data to the minimum value of the equipment monitoring evaluation index data is not less than a second threshold value, the equipment monitoring evaluation index data is indicated to be normal;

and comprehensively analyzing the normal equipment monitoring evaluation index data to obtain the actual state evaluation index of the equipment.

7. The system for managing the full life cycle of power grid equipment according to claim 1, wherein the specific method for obtaining the actual state evaluation index of the equipment is as follows:

Numbering the preset time period;

Acquiring the number data of the power grid equipment, and numbering the power grid equipment;

acquiring equipment monitoring evaluation index data;

constructing a calculation formula of an actual state evaluation index of the equipment;

the calculation formula of the actual state evaluation index of the specific equipment is as follows:

，

In the method, in the process of the invention, Expressed as/>The individual network devices are at the/>The actual state evaluation index of the device for a preset period of time,，/>Expressed as the total number of preset time periods,/>，/>Expressed as the total number of network devices,Expressed as/>The individual network devices are at the/>Equipment maintenance degree evaluation index for each preset time period,/>Expressed as/>The individual network devices are at the/>Device well-being assessment index for each preset time period,/>Expressed as/>The individual network devices are at the/>Device update degree evaluation index for each preset time period,/>Expressed as/>The individual network devices are at the/>Device usage assessment index for a preset period of time,/>And/>The device maintenance degree evaluation index, the device well degree evaluation index, the device update degree evaluation index and the device use degree evaluation index are respectively expressed as weight proportion of the device actual state evaluation index.

8. The system for managing the full life cycle of power grid equipment according to claim 1, wherein the specific method for obtaining the equipment maintenance degree evaluation index is as follows:

Numbering the preset time period;

Carrying out multiple data acquisition on the power grid equipment, and numbering the data acquisition times;

Extracting the frequency data of the cleaning treatment of the power grid equipment, the frequency data of the lubrication treatment of the power grid equipment and the frequency data of the fastening treatment of the power grid equipment from the equipment maintenance degree parameter data;

constructing a device maintenance degree evaluation index calculation formula;

The specific calculation formula of the equipment maintenance degree evaluation index is as follows:

，

In the method, in the process of the invention, Expressed as/>The individual network devices are at the/>A device maintenance level evaluation index for a preset period of time,，/>Expressed as the total number of preset time periods,/>，/>Expressed as the total number of network devices,Expressed as/>The individual network devices are at the/>First/>, of the preset time periodThe power grid equipment performs cleaning treatment frequency data in the process of acquiring the frequency data,/>，/>Expressed as total number of data acquisitions,/>Denoted as the firstCleaning standard frequency data of power grid equipment of each power grid equipment,/>Expressed as/>The individual network devices are at the/>First/>, of the preset time periodThe power grid equipment performs lubrication processing time data during secondary data acquisition,Expressed as/>Lubrication processing standard frequency data of power grid equipment of each power grid equipment,/>Expressed as/>The individual network devices are at the/>First/>, of the preset time periodFastening processing frequency data of power grid equipment during frequency data acquisition,/>Expressed as/>The grid devices of the individual grid devices perform the fastening processing of the standard frequency data,And/>The method comprises the steps of respectively representing the weight proportion of the power grid equipment cleaning treatment frequency data, the power grid equipment lubrication treatment frequency data and the power grid equipment fastening treatment frequency data in the equipment maintenance degree evaluation index.

9. The full life cycle management system of the power grid equipment according to claim 1, wherein the specific analysis process of analyzing the operation state of the power grid equipment and performing early warning and reminding is as follows:

Acquiring an actual state evaluation index of the power grid equipment in a preset time period, acquiring a state evaluation threshold, and indicating that the power grid equipment is in a normal running state in the preset time period and not carrying out early warning reminding when the actual state evaluation index of the power grid equipment is larger than or equal to the state evaluation threshold;

And when the actual state evaluation index of the equipment is smaller than the state evaluation threshold, the power grid equipment is in an abnormal state in a preset time period, and early warning and reminding are carried out.