CN111178788A - Power data auxiliary management method and system for power selling side - Google Patents

Power data auxiliary management method and system for power selling side Download PDF

Info

Publication number
CN111178788A
CN111178788A CN202010023440.4A CN202010023440A CN111178788A CN 111178788 A CN111178788 A CN 111178788A CN 202010023440 A CN202010023440 A CN 202010023440A CN 111178788 A CN111178788 A CN 111178788A
Authority
CN
China
Prior art keywords
information
data
power data
power
missing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010023440.4A
Other languages
Chinese (zh)
Inventor
程修远
郭蔡炜
徐毅明
郑文洁
王紫塔
吴元林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Fujian Electric Power Co Ltd
Information and Telecommunication Branch of State Grid Fujian Electric Power Co Ltd
Original Assignee
State Grid Fujian Electric Power Co Ltd
Information and Telecommunication Branch of State Grid Fujian Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Fujian Electric Power Co Ltd, Information and Telecommunication Branch of State Grid Fujian Electric Power Co Ltd filed Critical State Grid Fujian Electric Power Co Ltd
Priority to CN202010023440.4A priority Critical patent/CN111178788A/en
Publication of CN111178788A publication Critical patent/CN111178788A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Power Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to an auxiliary management method and system for power data of a power selling side, which comprises the steps of firstly receiving a user request, wherein the user request comprises first user information, abnormal electric quantity information and acquisition cycle information; then, according to the first user information and the acquisition cycle information, power data missing information and power data missing interval information under the preset acquisition times are counted; acquiring corresponding power data integral loss degree information of the power selling side according to the power data loss information, the power data loss interval information and the acquisition times; and finally, uploading the whole missing degree information of the power data of the power selling side. The method can ensure scientific, objective and effective evaluation of the serious condition of the power data loss.

Description

Power data auxiliary management method and system for power selling side
Technical Field
The invention relates to the technical field of auxiliary management of power system data, in particular to an auxiliary management method and system for power data of a power selling side.
Background
In recent years, power marketing business data is an important strategic resource of a power grid, and high-quality power data is a premise and a basis for normal operation and practicability of an information system. With the progress of information-based projects, the quality of power basic data is urgently required to be improved.
Based on the data of the user power data application system at the power selling side, extracting detailed data into a data quality detection standard library according to data quality assessment indexes uniformly formulated by the headquarters; the detection is carried out according to the formulated data detection rule, the detection result can be counted and analyzed, a strategy can be formulated in a targeted manner, and finally a data quality report can be directly exported.
The data quality detection tool detects data such as basic archives and measurement assets in the system by taking a detection rule stored in the rule definition configuration as a reference, forms a detection result, then performs statistical analysis on the detection result through a statistical and analysis model, and finally forms a data quality evaluation report. Through data quality management functions such as data quality detection rule definition, data detection, detection result statistics and detection result analysis, data quality detection, statistics and analysis of all layers are achieved from dimensions such as data integrity and accuracy, and business basic data quality is comprehensively improved.
However, the absence of power data in the prior art is annoying to data management and analysis personnel, and is difficult to measure effectively for the severity of the power data absence. Therefore, how to scientifically, objectively and effectively evaluate the measurement of the power data loss of the user and feed back the measurement according to the actual detection result, so that a manager can conveniently know the serious condition of the data acquisition loss, and an electric power company can conveniently correct and supplement the data loss in time is an important and urgent problem faced by the electric power company.
Disclosure of Invention
In view of the above, the invention provides an auxiliary management method and system for power data of a power selling side, which can ensure scientific, objective and effective evaluation of serious power data loss.
The invention is realized by adopting the following scheme: a power data auxiliary management method for a power selling side comprises the following steps:
receiving a user request, wherein the user request comprises first user information, abnormal electric quantity information and acquisition cycle information;
according to the first user information and the acquisition cycle information, power data missing information and power data missing interval information under the preset acquisition times are counted;
acquiring corresponding power data integral deficiency degree information of the power selling side according to the power data deficiency information, the power data deficiency interval information and the acquisition times;
and uploading the whole missing degree information of the power data of the power selling side.
Further, the abnormal electricity quantity information comprises that electricity consumption is smaller than a first threshold value within a preset time period; the collection cycle information includes a time interval for collecting the electric quantity data within a predetermined time.
Further, the power data missing information includes the number of data of the power data which are not collected in the process of collecting the power data according to the collection cycle information; the electric power data missing interval information comprises the number of intervals in which the data number of the electric power data which are not collected is distributed.
Further, the following formula is adopted for obtaining the corresponding power data overall loss degree information of the power selling side according to the power data loss information, the power data loss interval information and the collection times:
Figure BDA0002361624410000031
in the formula, M is the integral loss degree of power data of the power selling side, E is the data acquisition frequency in the acquisition period, and N issThe number of intervals in which data are missing in the acquisition cycle, niIs the number of missing data in the ith interval of data missing, aiAre coefficients of consecutive missing data.
Further, when said n isiWhen 1, the aiThe value is 1; when said n isiWhen a is more than or equal to 2, a isiThe value is 2.
The invention also provides an electricity selling side electric power data auxiliary management system, which comprises:
the receiving module is used for receiving a user request, wherein the user request comprises first user information, abnormal electric quantity information and acquisition cycle information;
the statistical module is used for counting the electric power data missing information and the electric power data missing interval information under the preset collection times according to the first user information and the collection period information;
the acquisition module is used for acquiring corresponding power data overall loss degree information of the power selling side according to the power data loss information, the power data loss interval information and the acquisition times;
and the uploading module uploads the whole missing degree information of the power selling side power data.
Further, the abnormal electricity quantity information comprises that electricity consumption is smaller than a first threshold value within a preset time period; the collection cycle information includes a time interval for collecting the electric quantity data within a predetermined time.
Further, the power data missing information includes the number of data of the power data which are not collected in the process of collecting the power data according to the collection cycle information; the electric power data missing interval information comprises the number of intervals in which the data number of the electric power data which are not collected is distributed.
Further, the following formula is adopted for obtaining the corresponding power data overall loss degree information of the power selling side according to the power data loss information, the power data loss interval information and the collection times:
Figure BDA0002361624410000041
in the formula, M is the integral loss degree of power data of the power selling side, E is the data acquisition frequency in the acquisition period, and N issThe number of intervals in which data are missing in the acquisition cycle, niIs the number of missing data in the ith interval of data missing, aiAre coefficients of consecutive missing data.
Further, when said n isiWhen 1, the aiThe value is 1; when said n isiWhen a is more than or equal to 2, a isiThe value is 2.
Compared with the prior art, the invention has the following beneficial effects: according to the first user information and the acquisition cycle information, power data missing information and power data missing interval information under the preset acquisition times are counted; acquiring corresponding power data integral deficiency degree information of the power selling side according to the power data deficiency information, the power data deficiency interval information and the acquisition times; and uploading the whole missing degree information of the power data of the power selling side. Therefore, the missing condition of the power selling side user power data is objectively and accurately evaluated from the information of the missing interval, the missing number and the like of the user data of the power selling side, and a manager is more effectively and accurately evaluated.
Drawings
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention.
Fig. 2 is a system block diagram of an embodiment of the invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 1 and fig. 2, the present embodiment provides an auxiliary power data management method for a power selling side, including the following steps:
step S1: receiving a user request, wherein the user request comprises first user information, abnormal electric quantity information and acquisition cycle information;
in this embodiment, the abnormal information of the electric quantity includes that the used electric quantity is smaller than a first threshold value within a preset time period; the collection cycle information includes a time interval for collecting the electric quantity data within a predetermined time.
The user can determine whether the electric quantity is abnormal or not by monitoring the collected electric energy in 24 hours, and specifically, the electric quantity of the power user is calculated based on the today electric meter base code, the yesterday electric meter base code, and the TA transformation ratio and the TV transformation ratio of the corresponding transmission circuit. The system can set a first threshold Th according to the long-term electricity usage of the user, wherein the electricity abnormal information comprises that the electricity usage is less than the first threshold within a preset time period; the collection cycle information includes a time interval for collecting the electric quantity data within a predetermined time, for example, within 24 hours, the electric quantity data is collected according to a time interval of 1 hour, and then 24 times of electric power data are collected within 24 hours.
Step S2: according to the first user information and the acquisition cycle information, power data missing information and power data missing interval information under the preset acquisition times are counted;
the power data missing information comprises the data number of the power data which are not collected in the process of collecting the power data according to the collection period information; the electric power data missing interval information comprises the number of intervals in which the electric power data which are not collected are distributed;
correspondingly, the user can set the time interval to be 1 hour, and then 24 times of electric power data are collected within 24 hours, and the number of electric power data missing and the number of sections in which the electric power data are missing are counted when the 24 times of electric current data are collected. Among them, for example: the statistical period is 12: 00-12: 00 this day, the statistical time interval is 1 hour, and statistics shows that the first statistical sequence lacks data 13:00, 14:00 and 15:00, and the second statistical sequence lacks data 15:00, 18:00 and 6:00, so that the number of power data deletions of the first statistical sequence and the second statistical sequence is 3. Further, although the data loss amount of the first statistical sequence and the second statistical sequence is the same, the three data missing from the first statistical sequence are distributed in the same interval, namely are continuously missing, and the number of the intervals is 1; and the three data missing from the second sequence are distributed in different intervals, and the number of the intervals is 3.
Step S3: acquiring corresponding power data integral deficiency degree information of the power selling side according to the power data deficiency information, the power data deficiency interval information and the acquisition times;
step S4: and uploading the whole missing degree information of the power data of the power selling side.
In this embodiment, the following formula is adopted for obtaining the overall missing degree information of the power data of the corresponding power selling side according to the missing information of the power data, the missing interval information of the power data and the collection times:
Figure BDA0002361624410000061
in the formula, M is the integral loss degree of power data of the power selling side, E is the data acquisition frequency in the acquisition period, and N issThe number of intervals in which data are missing in the acquisition cycle, niIs the number of missing data in the ith interval of data missing, aiAre coefficients of consecutive missing data.
In this embodiment, when n is saidiWhen 1, the aiThe value is 1; when said n isiWhen a is more than or equal to 2, a isiThe value is 2.
The embodiment also provides a power data auxiliary management system for the electricity selling side, which comprises:
the receiving module is used for receiving a user request, wherein the user request comprises first user information, abnormal electric quantity information and acquisition cycle information;
the statistical module is used for counting the electric power data missing information and the electric power data missing interval information under the preset collection times according to the first user information and the collection period information;
the acquisition module is used for acquiring corresponding power data overall loss degree information of the power selling side according to the power data loss information, the power data loss interval information and the acquisition times;
and the uploading module uploads the whole missing degree information of the power selling side power data.
In this embodiment, the abnormal information of the electric quantity includes that the used electric quantity is smaller than a first threshold value within a preset time period; the collection cycle information includes a time interval for collecting the electric quantity data within a predetermined time.
In this embodiment, the missing information of the power data includes the number of data of the power data that are not collected in the process of collecting the power data according to the collection cycle information; the electric power data missing interval information comprises the number of intervals in which the data number of the electric power data which are not collected is distributed.
In this embodiment, the following formula is adopted for obtaining the overall missing degree information of the power data of the corresponding power selling side according to the missing information of the power data, the missing interval information of the power data and the collection times:
Figure BDA0002361624410000081
in the formula, M is the integral loss degree of power data of the power selling side, E is the data acquisition frequency in the acquisition period, and N issThe number of intervals in which data are missing in the acquisition cycle, niIs the number of missing data in the ith interval of data missing, aiAre coefficients of consecutive missing data.
In this embodiment, when n is saidiWhen 1, the aiThe value is 1; when said n isiWhen a is more than or equal to 2, a isiThe value is 2.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
The foregoing is directed to preferred embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow. However, any simple modification, equivalent change and modification of the above embodiments according to the technical essence of the present invention are within the protection scope of the technical solution of the present invention.

Claims (10)

1. A power data auxiliary management method for a power selling side is characterized by comprising the following steps:
receiving a user request, wherein the user request comprises first user information, abnormal electric quantity information and acquisition cycle information;
according to the first user information and the acquisition cycle information, power data missing information and power data missing interval information under the preset acquisition times are counted;
acquiring corresponding power data integral deficiency degree information of the power selling side according to the power data deficiency information, the power data deficiency interval information and the acquisition times;
and uploading the whole missing degree information of the power data of the power selling side.
2. The electric power selling side electric power data auxiliary management method according to claim 1, characterized in that the electric power quantity abnormality information comprises that the electric power consumption quantity is less than a first threshold value within a preset time period; the collection cycle information includes a time interval for collecting the electric quantity data within a predetermined time.
3. The auxiliary power data management method for the electricity selling side according to claim 1, wherein the missing information of the power data comprises the number of data of the power data which are not collected in the process of collecting the power data according to the collection period information; the electric power data missing interval information comprises the number of intervals in which the data number of the electric power data which are not collected is distributed.
4. The power selling side electric power data auxiliary management method according to claim 1, wherein the obtaining of the corresponding power selling side electric power data overall loss degree information according to the electric power data loss information, the electric power data loss section information and the collection times adopts the following formula:
Figure FDA0002361624400000011
in the formula, M is the integral loss degree of power data of the power selling side, E is the data acquisition frequency in the acquisition period, and N issThe number of intervals in which data are missing in the acquisition cycle, niIs the number of missing data in the ith interval of data missing, aiAre coefficients of consecutive missing data.
5. The auxiliary power data management method for power selling side of claim 4, wherein when said n is greater than n, said method is characterized in thatiWhen 1, the aiThe value is 1; when said n isiWhen a is more than or equal to 2, a isiThe value is 2.
6. An electricity selling side power data auxiliary management system is characterized by comprising:
the receiving module is used for receiving a user request, wherein the user request comprises first user information, abnormal electric quantity information and acquisition cycle information;
the statistical module is used for counting the electric power data missing information and the electric power data missing interval information under the preset collection times according to the first user information and the collection period information;
the acquisition module is used for acquiring corresponding power data overall loss degree information of the power selling side according to the power data loss information, the power data loss interval information and the acquisition times;
and the uploading module uploads the whole missing degree information of the power selling side power data.
7. The system for auxiliary management of power-selling side electric power data according to claim 6, characterized in that said abnormal information of electric quantity includes that the electric quantity used in a predetermined time period is less than a first threshold value; the collection cycle information includes a time interval for collecting the electric quantity data within a predetermined time.
8. The auxiliary power data management system for the electricity selling side according to claim 6, wherein the missing information of the power data comprises the data number of the power data which are not collected in the process of collecting the power data according to the collection period information; the electric power data missing interval information comprises the number of intervals in which the data number of the electric power data which are not collected is distributed.
9. The auxiliary power data management system for the power selling sides according to claim 6, wherein the following formula is adopted for acquiring the whole missing degree information of the corresponding power data of the power selling sides according to the missing information of the power data, the missing interval information of the power data and the collection times:
Figure FDA0002361624400000031
in the formula, M is the integral loss degree of power data of the power selling side, E is the data acquisition frequency in the acquisition period, and N issThe number of intervals in which data are missing in the acquisition cycle, niIs the number of missing data in the ith interval of data missing, aiAre coefficients of consecutive missing data.
10. According to claim 6The electric power data auxiliary management system at the electricity selling side is characterized in that when the n is the numberiWhen 1, the aiThe value is 1; when said n isiWhen a is more than or equal to 2, a isiThe value is 2.
CN202010023440.4A 2020-01-09 2020-01-09 Power data auxiliary management method and system for power selling side Pending CN111178788A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010023440.4A CN111178788A (en) 2020-01-09 2020-01-09 Power data auxiliary management method and system for power selling side

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010023440.4A CN111178788A (en) 2020-01-09 2020-01-09 Power data auxiliary management method and system for power selling side

Publications (1)

Publication Number Publication Date
CN111178788A true CN111178788A (en) 2020-05-19

Family

ID=70654587

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010023440.4A Pending CN111178788A (en) 2020-01-09 2020-01-09 Power data auxiliary management method and system for power selling side

Country Status (1)

Country Link
CN (1) CN111178788A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104330620A (en) * 2014-10-27 2015-02-04 国家电网公司 Automatic acquisition and processing system for electric energy information
US20170279886A1 (en) * 2016-03-25 2017-09-28 Lsis Co., Ltd. Method of Synchronizing User Setting Data Among Multiple Centers
CN108197156A (en) * 2017-12-08 2018-06-22 囯网河北省电力有限公司电力科学研究院 The abnormal electricity data restorative procedure and terminal device of power information acquisition system
CN108519989A (en) * 2018-02-27 2018-09-11 国网冀北电力有限公司电力科学研究院 The reduction retroactive method and device of a kind of day electricity missing data

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104330620A (en) * 2014-10-27 2015-02-04 国家电网公司 Automatic acquisition and processing system for electric energy information
US20170279886A1 (en) * 2016-03-25 2017-09-28 Lsis Co., Ltd. Method of Synchronizing User Setting Data Among Multiple Centers
CN108197156A (en) * 2017-12-08 2018-06-22 囯网河北省电力有限公司电力科学研究院 The abnormal electricity data restorative procedure and terminal device of power information acquisition system
CN108519989A (en) * 2018-02-27 2018-09-11 国网冀北电力有限公司电力科学研究院 The reduction retroactive method and device of a kind of day electricity missing data

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王立斌等: "一种用电信息采集系统异常电量数据的识别与修复方法", 《电力大数据》 *

Similar Documents

Publication Publication Date Title
EP2808797B1 (en) Operation management device, operation management method, and program
CN109981328B (en) Fault early warning method and device
CN111126759B (en) Electric energy meter state evaluation method based on abnormal event fault correlation degree
CA2604475A1 (en) Method and system for ac power grid monitoring
CN116345700B (en) Energy consumption monitoring method and monitoring system for energy storage power station
CN105515820A (en) Health analysis method for operation and maintenance management
JP5933386B2 (en) Data management apparatus and program
CN116976707B (en) User electricity consumption data anomaly analysis method and system based on electricity consumption data acquisition
CN111984442A (en) Method and device for detecting abnormality of computer cluster system, and storage medium
CN117074965B (en) Lithium ion battery remaining life prediction method and system
CN106951360B (en) Data statistical integrity calculation method and system
CN113554361A (en) Comprehensive energy system data processing and calculating method and processing system
CN115441456A (en) Fault diagnosis method and device for power grid dispatching support system
CN116975604A (en) Fault prediction method and system for chip mounter driving system
JP2008108154A (en) Management system for operation performance information
CN111178788A (en) Power data auxiliary management method and system for power selling side
CN109581266B (en) Running health condition analysis method of all-fiber current transformer
CN116307886A (en) Method and device for monitoring production state of enterprise in real time
CN116714469A (en) Charging pile health monitoring method, device, terminal and storage medium
CN104714205B (en) Electricity meter misplacement detection system and method thereof
CN116108376A (en) Monitoring system and method for preventing electricity stealing, electronic equipment and medium
CN112732773B (en) Method and system for checking uniqueness of relay protection defect data
JP2005038098A (en) Apparatus using data mining, and method for monitoring and executing operation state of facility or transaction
CN113285847A (en) Communication network anomaly detection method and system of intelligent converter station monitoring system
CN114757482A (en) Method, system, device and medium for analyzing electric quantity use trend of user group

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200519

RJ01 Rejection of invention patent application after publication