CN111461527A - Equipment quality evaluation method based on remote operation of distribution network - Google Patents
Equipment quality evaluation method based on remote operation of distribution network Download PDFInfo
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Abstract
The invention provides an equipment quality evaluation method based on remote operation of a distribution network, which is characterized in that a computer is used for full-automatic intelligent analysis by depending on system logic, manual intervention is not needed in the whole process, manpower and material resources for evaluation and statistical analysis of the equipment of the distribution network can be saved, evaluation and statistics are carried out by comparing the manpower, and the method has the characteristics of high accuracy, strong timeliness, strong objectivity and the like; after the invention is applied, the quality of each large equipment manufacturer in the aspect of remote control operation is presented; the original backward mode depending on manual statistics is changed into the mode of intelligent analysis by a computer system, the development of the whole power distribution network intelligence is greatly promoted, and a feasible standardization and intelligent method is provided for the evaluation of the equipment quality of the power distribution network in the aspect of remote control operation.
Description
Technical Field
The invention relates to the technical field of power distribution network management, in particular to a device quality evaluation method based on remote operation of a distribution network.
Background
With the development of the existing power distribution network and the high reliability requirement of the power utilization of customers, the whole power distribution network is required to be an intelligent road. In order to promote the intelligent development of the whole power distribution network, distribution network remote control switches with remote control functions produced by various large equipment manufacturers are installed in advanced regions in China at present, so that the operation tasks can be rapidly and accurately completed when the requirements such as distribution network line faults and operation mode changes occur, and the loss of manpower and material resources is reduced. However, the success of remote control operations can vary depending on the quality of the equipment manufacturer. At present, the whole power distribution network lacks of a quality evaluation method for automatically evaluating the quality of equipment manufacturers based on the aspect of remote control operation of the power distribution network from an intelligent direction, so that the quality of each equipment manufacturer in the aspect of remote control switches is not mastered.
Based on the analysis, an intelligent method is urgently needed to directly analyze the quality condition of equipment manufacturers based on remote control operation of the distribution network technically, grasp the quality condition of the equipment of each equipment manufacturer from a management plane and strengthen the management of the distribution network.
Disclosure of Invention
The equipment quality evaluation method based on the remote operation of the distribution network is high in accuracy and timeliness.
In order to achieve the technical effects, the technical scheme of the invention is as follows:
a device quality evaluation method based on distribution network remote control operation comprises the following steps:
s1: extracting source data from a distribution network system and an asset management system to generate a mass database;
s2: filtering key data from the mass database, wherein five key data are obtained and filtered;
s3: according to the key data, performing integrated analysis on the data in a chemical mode, and analyzing the quality condition of each equipment manufacturer;
s4: and generating a quality analysis report of the equipment manufacturer according to the result of S3.
Further, five key data of acquisition and filtering are: device ID, operating time, remote control failure classification code, device topology, and device manufacturer.
Further, the specific process of step S1 is:
the acquisition of source data is carried out through two service systems, including: a distribution network automation system, an asset management system;
irrelevant data and error data are removed through acquisition of source data, and a mass database is generated.
Further, the acquiring data by the distribution network automation system comprises: remote control operation time, remote control operation failure record, and device ID information.
Further, a data interface is established with a distribution network automation system to obtain remote control operation records and equipment ID information; and establishing a data interface with the asset management system to acquire the manufacturer name, the equipment ID and the topological relation information.
Further, the asset management system acquiring data comprises: manufacturer name, equipment ID, and topological relation information.
Further, the specific process of step S3 is:
1) forming data of each remote control failure, a reason of the remote control failure and an equipment manufacturer to form a database;
2) and carrying out consistency check by using the equipment ID and the equipment manufacturer, ensuring that the remote control failure records can correspond to the equipment ID and the equipment manufacturer one by one, and analyzing the quality condition of each equipment manufacturer.
Further, the specific process of step S4 is:
and outputting the analysis result of S3 to generate a quality evaluation analysis report of the equipment manufacturer, wherein the report content comprises the frequency of remote control operation failure of the distribution network of each equipment manufacturer, a classification table of the reason of the remote control operation failure of the distribution network of each equipment manufacturer and a quality evaluation condition table of the remote control operation of the distribution network of each equipment manufacturer.
Further, the quality condition of the equipment manufacturer comprises a corresponding remote control operation failure condition, a remote control operation failure reason classification and an equipment quality evaluation condition.
Further, the data of each remote control failure includes a substation to which the device belongs, a line, a device name, a device ID, and an operation time.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
according to the intelligent quality evaluation method for the equipment manufacturer based on remote operation of the distribution network, the computer is used for full-automatic intelligent analysis by depending on system logic, manual intervention is not needed in the whole process, manpower and material resources for evaluation and statistical analysis of the distribution network equipment can be saved, evaluation and statistics are performed by comparing the manpower, and the intelligent quality evaluation method has the characteristics of high accuracy, strong timeliness, strong objectivity and the like; after the invention is applied, the quality of each large equipment manufacturer in the aspect of remote control operation is presented; the original backward mode depending on manual statistics is changed into the mode of intelligent analysis by a computer system, the development of the intelligence of the whole power distribution network is greatly promoted, and a feasible standardization and intelligent method is provided for the evaluation of the quality of equipment of the power distribution network in the aspect of remote control operation; the information of the two service systems is highly integrated, and the equipment manufacturer quality targeted intelligent evaluation based on remote control operation is realized; the quality condition of the equipment manufacturer in the aspect of remote control operation is intelligently and deeply analyzed, and whether the equipment manufacturer has familial defects or not, comprehensive evaluation of the quality of the manufacturer and the like is fundamentally analyzed and found.
Drawings
FIG. 1 is a schematic diagram of the method of the present invention;
FIG. 2 is a block flow diagram of the method of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product;
it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
As shown in fig. 1-2, the present invention is a method for evaluating the quality of equipment based on remote operation of a distribution network, and the method obtains source data through two service systems, including: a distribution network automation system, an asset management system 1; irrelevant data and error data are removed through acquisition of source data, and a mass database 2 is automatically generated; carrying out intelligent filtering on key data from a mass database, wherein five key data are intelligently obtained and filtered: equipment ID, operation time, remote control failure classification codes, equipment topological relation and equipment manufacturers 3; integrating and analyzing the data in an intelligent mode to form each piece of remote control failure data, wherein each piece of remote control failure data comprises a substation, a line, an equipment name, an equipment ID, operation time of equipment slave, a remote control failure reason and an equipment manufacturer, a database is formed, consistency check is carried out on the equipment ID and the equipment manufacturer, it is ensured that remote control failure records correspond to the equipment ID and the equipment manufacturer one by one, and the quality condition of each equipment manufacturer is intelligently analyzed 4; and finally, automatically generating a quality analysis report of the equipment manufacturer, wherein the report comprises the following contents: the remote control operation failure times of the distribution network of each equipment manufacturer, the remote control operation failure reason classification table of the distribution network of each equipment manufacturer and the remote control operation quality evaluation condition table of the distribution network of each equipment manufacturer.
The method comprises the following specific implementation processes:
s1: inputting an analysis object, wherein the designed analysis object which can be input can be analysis time, an analysis equipment manufacturer or an analysis subordinate management unit, and the step is S2;
s2: and acquiring related data information by establishing data interfaces with two related service systems. The method comprises the steps of establishing a data interface with a distribution network automation system to obtain information such as remote control operation records, equipment IDs and the like; through establishing data interface with the asset management system, obtaining information of manufacturer name, equipment ID, topological relation and the like, and entering S3
S3: cleaning mass information acquired from an asset management system and a distribution network automation system, removing null data, incomplete information data, error data and irrelevant data, and entering S4;
s4: storing all data according to the result of the data cleaning in S3 to generate a mass database 10, and entering S5;
s5: performing intelligent filtering 11 on key data, performing integration analysis on the data through five pieces of key information, namely 'equipment ID', 'operation time', 'remote control failure classification code', 'equipment topological relation' and 'equipment manufacturer' in an intelligent mode to form data of each remote control failure, wherein each piece of data of each remote control failure comprises a substation, a circuit, an equipment name, an equipment ID, operation time of equipment slave, a reason of the remote control failure and the equipment manufacturer, forming a database, and entering S6;
s6: carrying out data consistency check 12 on the database formed in the step S5, intelligently matching whether the ID of the equipment to which the equipment belongs corresponds to key information such as equipment manufacturers and remote control failure records one by one, detecting the subordinate corresponding condition of the equipment, ensuring the data accuracy, and entering the step S7;
s7: intelligently analyzing the quality condition 13 of each equipment manufacturer, intelligently analyzing the remote control operation failure condition, the remote control operation failure reason classification and the equipment quality evaluation condition corresponding to the equipment manufacturer by taking the equipment manufacturer as an analysis object, and entering S8;
s8: and automatically generating a quality analysis report 14 of the equipment manufacturer according to the output result of S7, wherein the analysis report mainly comprises the following contents: the remote control operation failure times of the distribution network of each equipment manufacturer, the remote control operation failure reason classification table of the distribution network of each equipment manufacturer and the remote control operation quality evaluation condition table of the distribution network of each equipment manufacturer.
The same or similar reference numerals correspond to the same or similar parts;
the positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement or improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A device quality evaluation method based on distribution network remote control operation is characterized by comprising the following steps:
s1: extracting source data from a distribution network system and an asset management system to generate a mass database;
s2: filtering key data from the mass database, wherein five key data are obtained and filtered;
s3: according to the key data, performing integrated analysis on the data in a chemical mode, and analyzing the quality condition of each equipment manufacturer;
s4: and generating a quality analysis report of the equipment manufacturer according to the result of S3.
2. The method for evaluating the quality of equipment based on the remote operation of the distribution network as claimed in claim 1, wherein the five key data acquisition and filtration are as follows: device ID, operating time, remote control failure classification code, device topology, and device manufacturer.
3. The method for evaluating the quality of the equipment based on the remote operation of the distribution network according to claim 2, wherein the specific process of the step S1 is as follows:
the acquisition of source data is carried out through two service systems, including: a distribution network automation system, an asset management system;
irrelevant data and error data are removed through acquisition of source data, and a mass database is generated.
4. The method for equipment quality assessment based on remote operation of distribution networks according to claim 3, wherein the acquisition of data by the distribution network automation system comprises: remote control operation time, remote control operation failure record, and device ID information.
5. The method for evaluating the quality of equipment based on the remote operation of the distribution network as claimed in claim 4, characterized in that the remote operation record and the equipment ID information are obtained by establishing a data interface with the distribution network automation system; and establishing a data interface with the asset management system to acquire the manufacturer name, the equipment ID and the topological relation information.
6. The method for equipment quality assessment based on distribution network remote operation according to claim 5, wherein the asset management system acquiring data comprises: manufacturer name, equipment ID, and topological relation information.
7. The method for evaluating the quality of the equipment based on the remote operation of the distribution network according to claim 6, wherein the specific process of the step S3 is as follows:
1) forming data of each remote control failure, a reason of the remote control failure and an equipment manufacturer to form a database;
2) and carrying out consistency check by using the equipment ID and the equipment manufacturer, ensuring that the remote control failure records can correspond to the equipment ID and the equipment manufacturer one by one, and analyzing the quality condition of each equipment manufacturer.
8. The method for evaluating the quality of the equipment based on the remote operation of the distribution network according to claim 7, wherein the specific process of the step S4 is as follows:
and outputting the analysis result of S3 to generate a quality evaluation analysis report of the equipment manufacturer, wherein the report content comprises the frequency of remote control operation failure of the distribution network of each equipment manufacturer, a classification table of the reason of the remote control operation failure of the distribution network of each equipment manufacturer and a quality evaluation condition table of the remote control operation of the distribution network of each equipment manufacturer.
9. The method for equipment quality assessment based on remote operation of distribution network according to claim 8, wherein the equipment manufacturer quality condition comprises corresponding remote operation failure condition, remote operation failure reason classification and equipment quality assessment condition.
10. The method for equipment quality assessment based on remote operation of distribution network according to claim 9, wherein each piece of data of remote control failure comprises substation, line, equipment name, equipment ID, and operation time of equipment slave.
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Cited By (1)
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| CN112821567A (en) * | 2021-03-18 | 2021-05-18 | 广东电网有限责任公司佛山供电局 | Method and device for processing remote control failure of distribution network switch |
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