CN115933508A - Intelligent power operation and maintenance system for power distribution network - Google Patents

Intelligent power operation and maintenance system for power distribution network Download PDF

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Publication number
CN115933508A
CN115933508A CN202211447486.4A CN202211447486A CN115933508A CN 115933508 A CN115933508 A CN 115933508A CN 202211447486 A CN202211447486 A CN 202211447486A CN 115933508 A CN115933508 A CN 115933508A
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alarm
point
monitoring
value
monitored object
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CN115933508B (en
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杨辉
王乐友
黄绘霖
韩雅
何金莲
梁晓婷
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ZHUHAI COMKING ELECTRIC CO Ltd
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ZHUHAI COMKING ELECTRIC CO Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention belongs to the field of power distribution networks, relates to a data processing technology, and is used for solving the problem that the existing intelligent power operation and maintenance system of a power distribution network cannot comprehensively analyze the phenomena of false alarm, missing report and missing detection of a monitoring system, in particular to an intelligent power operation and maintenance system of the power distribution network, which comprises an operation and maintenance management platform, wherein the operation and maintenance management platform is in communication connection with an equipment management module, an alarm analysis module, a comprehensive analysis module and a storage module, the equipment management module comprises an automatic monitoring unit, a manpower inspection unit and a fault recording unit, and the automatic monitoring unit is used for monitoring and analyzing the running state of power equipment of the power distribution network and sending an alarm signal to the alarm analysis module when the running state does not meet the requirements; the invention carries out monitoring analysis on the running state of the monitored object, uploads the monitoring analysis result and carries out combined analysis on the monitoring data of the monitored object, fault data and routing inspection data.

Description

Intelligent power operation and maintenance system for power distribution network
Technical Field
The invention belongs to the field of power distribution networks, relates to a data processing technology, and particularly relates to an intelligent power operation and maintenance system for a power distribution network.
Background
The power operation and maintenance of the power distribution network is mainly responsible for comprehensively checking managed distribution room equipment, making a related equipment record form, checking and formulating a maintenance plan according to specified equipment faults and participating in maintenance and repair work of each transformer substation;
the monitoring system of the power transformation equipment used at present has very poor accuracy, so that the situations of false report and missing report frequently occur, and great difficulty is caused to the normal operation and maintenance work of the power transformation equipment; the existing intelligent power operation and maintenance system of the power distribution network does not have the function of comprehensively analyzing the phenomena of false alarm, missing alarm and missing detection of the monitoring system, so that the phenomenon of poor accuracy of the monitoring system cannot be improved in a targeted manner, and the management efficiency of the power operation and maintenance system is low;
in view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide an intelligent power operation and maintenance system for a power distribution network, which is used for solving the problem that the existing intelligent power operation and maintenance system for the power distribution network cannot comprehensively analyze the phenomena of false alarm, missing report and missing detection of a monitoring system.
The technical problems to be solved by the invention are as follows: how to provide a distribution network intelligent electric power operation and maintenance system which can comprehensively analyze the phenomena of false alarm, missing report and missing detection of a monitoring system.
The purpose of the invention can be realized by the following technical scheme:
an intelligent power operation and maintenance system of a power distribution network comprises an operation and maintenance management platform, wherein the operation and maintenance management platform is in communication connection with an equipment management module, an alarm analysis module, a comprehensive analysis module and a storage module;
the equipment management module comprises an automatic monitoring unit, a manpower inspection unit and a fault recording unit; the automatic monitoring unit is used for monitoring and analyzing the running state of the power equipment of the power distribution network and sending an alarm signal to the alarm analysis module when the running state does not meet the requirement; the manpower inspection unit is used for making an operation and maintenance personnel inspection plan for the monitoring object of the power distribution network, and the operation and maintenance personnel inspects the monitoring object of the power distribution network according to the inspection plan and uploads an inspection record to the alarm analysis module; the fault recording unit is used for recording faults occurring in the monitored object and uploading fault records to the alarm analysis module;
the alarm analysis module is used for carrying out misinformation and missing report analysis through the uploaded data of the equipment management module: setting an alarm period for a monitored object, generating an alarm time line according to the alarm period, marking a time point of an alarm analysis module receiving an alarm signal corresponding to the monitored object on the alarm time line to obtain an alarm point, marking a time point of polling the monitored object in a polling record on the alarm time line to obtain a polling point, and marking a time point of failure of the monitored object in a failure record on the alarm time line to obtain a failure point; carrying out false alarm analysis and false alarm analysis on the alarm timeline to obtain a false alarm value, a false alarm value and a false detection value;
the comprehensive analysis module is used for comprehensively analyzing the fault monitoring state of the monitored object: and carrying out numerical calculation on the missed report value, the false report value and the missed detection value to obtain a comprehensive coefficient, and judging whether the fault monitoring state of the monitored object meets the requirement or not according to the numerical value of the comprehensive coefficient.
As a preferred embodiment of the present invention, a specific process of the automatic monitoring unit for monitoring and analyzing the operation state of the power equipment of the power distribution network includes: marking the power equipment to be monitored as a monitoring object, acquiring the monitoring object to monitor the running state and monitor a coefficient JC, acquiring a monitoring threshold value JCmax of the monitoring object through a storage module, and comparing the monitoring coefficient JC with the monitoring threshold value JCmax: if the monitoring coefficient JC is smaller than the monitoring threshold JCmax, the running state of the monitored object is judged to meet the requirement; if the monitoring coefficient JC is greater than or equal to the monitoring threshold JCmax, the running state of the detected object is judged not to meet the requirements, the equipment monitoring module sends an alarm signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the alarm signal to the alarm analysis module and the mobile phone terminal of the operation and maintenance personnel after receiving the alarm signal.
As a preferred embodiment of the present invention, the specific process of analyzing the alarm timeline for false alarm includes: selecting two alarm points on the leftmost side as marking points, and analyzing whether a patrol inspection point and a fault point exist between the two marking points: if the routing inspection point and the fault point do not exist between the two marking points, the device management module is judged to have a false alarm phenomenon between the two marking points, and the value of the false alarm value WB is increased by one; if only a fault point exists between the two mark points or the fault point and the inspection point exist simultaneously but the inspection point is positioned on the right side of the fault point, the equipment management module is judged that no false alarm phenomenon occurs between the two mark points, but the operation and maintenance personnel have an omission phenomenon, and the numerical value of the omission value LJ is increased by one; marking the second alarm point on the left side and the third alarm point on the left side as mark points, and analyzing whether a patrol inspection point and a fault point exist between the two mark points; and repeating the steps until all the alarm points are used as the mark points to perform false alarm analysis.
As a preferred implementation mode of the invention, the specific process of analyzing the alarm timeline for missing reports comprises the following steps: selecting two leftmost fault points as analysis points, and analyzing whether an alarm point and a routing inspection point exist between the two analysis points: if the alarm point and the patrol inspection point do not exist between the two analysis points, judging that the device management module has a report missing phenomenon between the two analysis points, and adding one to the numerical value LB of the report missing value; if only an alarm point exists between the two analysis points or the alarm point and the inspection point exist at the same time but the inspection point is positioned on the left side of the alarm point, judging that the missing inspection phenomenon occurs between the two analysis points, and adding one to the numerical value of the missing inspection value LJ; marking the second fault point on the left side and the third fault point on the left side as analysis points, and analyzing whether a patrol point and an alarm point exist between the two analysis points; and analogizing until all fault points are used as analysis points to finish the analysis of missing report; and sending the values of the false alarm value WB, the missed alarm value LB and the missed detection value LJ to the comprehensive analysis module.
As a preferred embodiment of the present invention, a specific process of determining whether a fault monitoring state of a monitoring target meets a requirement includes: acquiring a comprehensive threshold value through a storage module, and comparing a comprehensive coefficient of a monitored object with the comprehensive threshold value: if the comprehensive coefficient is smaller than the comprehensive threshold value, judging that the fault monitoring state of the monitored object meets the requirement; and if the comprehensive coefficient is larger than or equal to the comprehensive threshold value, judging that the fault monitoring state of the monitored object does not meet the requirement, and performing characteristic analysis on the fault monitoring state of the monitored object.
As a preferred embodiment of the present invention, a specific process of performing characteristic analysis on a fault monitoring state of a monitored object includes: and carrying out numerical comparison on the false alarm value WB, the missed alarm value LB and the missed detection value LJ:
if the value of the wrong-report value WB is the maximum, the fault monitoring characteristic of the monitored object is marked as system wrong report, the comprehensive analysis module sends an instrument optimization signal to the operation and maintenance management platform, and the operation and maintenance management module sends the received instrument optimization signal to a mobile phone terminal of a manager;
if the value of the missed report value LB is the maximum, the fault monitoring characteristic of the monitored object is marked as system missed report, the comprehensive analysis module sends an equipment updating signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the equipment updating signal to a mobile phone terminal of a manager after receiving the equipment updating signal;
if the value of the missed detection value LJ is the maximum, the fault monitoring characteristics of the monitored object are marked as manual missed detection, the comprehensive analysis module sends a professional training signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the professional training signal to a mobile phone terminal of a manager after receiving the professional training signal.
The working method of the intelligent power operation and maintenance system of the power distribution network comprises the following steps:
the method comprises the following steps: the running state, the inspection state and the fault condition of the monitored object are recorded through the equipment management module and uploaded to the alarm analysis module;
step two: setting an alarm period for a monitored object, generating an alarm time line according to the alarm period, marking a time point of an alarm analysis module receiving an alarm signal corresponding to the monitored object on the alarm time line to obtain an alarm point, marking a time point of polling the monitored object in a polling record on the alarm time line to obtain a polling point, marking a time point of failure of the monitored object in a failure record on the alarm time line to obtain a failure point, and marking numerical values of missed detection values, false alarm values and missed alarm values according to the distribution conditions of the alarm point, the polling point and the failure point on the alarm time line;
step three: the fault monitoring state of the monitoring object is comprehensively analyzed, a comprehensive coefficient of the monitoring object is obtained by carrying out numerical calculation on the undetected value, the false alarm value and the missed alarm value, whether the fault monitoring state of the monitoring object meets the requirement or not is judged according to the numerical value of the comprehensive coefficient, and characteristic analysis is carried out on the fault monitoring state of the monitoring object when the fault monitoring state of the monitoring object does not meet the requirement.
The invention has the following beneficial effects:
1. the equipment management module can be used for monitoring and analyzing the running state of the monitored object, uploading the monitoring and analyzing result, and simultaneously carrying out routing inspection recording and fault recording on the monitored object, thereby providing data support for missing report analysis and false report analysis, and carrying out combined analysis on the monitoring data of the monitored object, the fault data and the routing inspection data, thereby feeding back the accuracy of the monitoring system;
2. the alarm analysis module can be used for carrying out false alarm analysis and missing alarm analysis on the alarm timeline of the monitored object, so that the values of a false alarm value, a missing alarm value and a missing detection value are marked through the false alarm analysis and missing alarm analysis results, and the reasons for the fact that the accuracy of the monitoring system does not meet the requirement are judged through the values of the false alarm value, the missing alarm value and the missing detection value, so that the detection process can be optimized in a targeted manner, and the accuracy of the monitoring result of the subsequent monitoring system is improved;
3. the fault monitoring state of the monitored object can be comprehensively analyzed through the comprehensive analysis module to obtain a comprehensive coefficient, the overall accuracy of the alarm monitoring result of the monitored object is fed back through the comprehensive coefficient, meanwhile, the risk caused by inaccurate monitoring of the monitored object is reflected by marking the fault monitoring characteristics of the monitored object, when the fault monitoring characteristics are missed, the risk caused by inaccurate monitoring is the highest, and therefore the processing priority of the monitored object which is missed to be reported by the system aiming at the fault monitoring characteristics is the highest.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, the intelligent power operation and maintenance system for the power distribution network comprises an operation and maintenance management platform, wherein the operation and maintenance management platform is in communication connection with an equipment management module, an alarm analysis module, a comprehensive analysis module and a storage module.
The equipment management module comprises an automatic monitoring unit, a manpower inspection unit and a fault recording unit; the automatic monitoring unit is used for monitoring and analyzing the running state of the power equipment of the power distribution network: the method comprises the following steps of marking the electric power equipment to be monitored as a monitoring object, obtaining the monitoring object to monitor the running state and obtain a monitoring coefficient JC, wherein the monitoring coefficient of the monitoring object can be obtained by corresponding to the type of the electric power equipment, for example, when the monitoring object is a distribution box, the monitoring coefficient of the monitoring object can be obtained by carrying out weight numerical calculation on values such as an air temperature value, an air humidity value and a smoke concentration value in the distribution box, the monitoring coefficient is only used for reflecting the running abnormal degree of the monitoring object, if the value of the monitoring coefficient is larger, the running abnormal degree of the monitoring object is higher, a monitoring threshold JCmax of the monitoring object is obtained through a storage module, and the monitoring coefficient JC is compared with the monitoring threshold JCmax: if the monitoring coefficient JC is smaller than the monitoring threshold JCmax, the running state of the monitored object is judged to meet the requirement; if the monitoring coefficient JC is greater than or equal to the monitoring threshold JCmax, the running state of the detected object is judged not to meet the requirement, the equipment monitoring module sends an alarm signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the alarm signal to the alarm analysis module and the mobile phone terminal of the operation and maintenance personnel after receiving the alarm signal; the manpower inspection unit is used for making an operation and maintenance personnel inspection plan for the monitoring object of the power distribution network, and the operation and maintenance personnel inspects the monitoring object of the power distribution network according to the inspection plan and uploads an inspection record to the alarm analysis module; the fault recording unit is used for recording faults occurring in the monitored object and uploading the fault records to the alarm analysis module; monitoring and analyzing the running state of the monitored object, uploading the monitoring and analyzing result, simultaneously performing inspection and fault recording on the monitored object, therefore, data support is provided for missing report analysis and false report analysis, and the monitoring data of the monitored object is combined with the fault data and the routing inspection data for analysis, so that the accuracy of the monitoring system is fed back.
The alarm analysis module is used for carrying out misinformation and missing report analysis through the uploaded data of the equipment management module: setting an alarm period for a monitored object, generating an alarm time line according to the alarm period, marking a time point of an alarm analysis module receiving an alarm signal corresponding to the monitored object on the alarm time line to obtain an alarm point, marking a time point of polling the monitored object in a polling record on the alarm time line to obtain a polling point, and marking a time point of failure of the monitored object in a failure record on the alarm time line to obtain a failure point; and (3) carrying out false alarm analysis on the alarm time line: selecting two alarm points on the leftmost side as mark points, and analyzing whether patrol points and fault points exist between the two mark points: if the routing inspection point and the fault point do not exist between the two marking points, the device management module is judged to have a false alarm phenomenon between the two marking points, and the value of the false alarm value WB is increased by one; if only a fault point exists between the two mark points or the fault point and the inspection point exist simultaneously but the inspection point is positioned on the right side of the fault point, the equipment management module is judged that no false alarm phenomenon occurs between the two mark points, but the operation and maintenance personnel have an omission phenomenon, and the numerical value of the omission value LJ is increased by one; marking the second alarm point on the left side and the third alarm point on the left side as mark points, and analyzing whether a patrol inspection point and a fault point exist between the two mark points; by analogy, all the alarm points are used as mark points to carry out misinformation analysis; and (4) carrying out report missing analysis on the alarm time line: selecting two leftmost fault points as analysis points, and analyzing whether an alarm point and a routing inspection point exist between the two analysis points: if the alarm point and the patrol inspection point do not exist between the two analysis points, judging that the device management module has a report missing phenomenon between the two analysis points, and adding one to the numerical value LB of the report missing value; if only an alarm point exists between the two analysis points or the alarm point and the inspection point exist at the same time but the inspection point is positioned on the left side of the alarm point, judging that the missing inspection phenomenon occurs between the two analysis points, and adding one to the numerical value of the missing inspection value LJ; marking the second fault point on the left side and the third fault point on the left side as analysis points, and analyzing whether a patrol point and an alarm point exist between the two analysis points again; and analogizing until all fault points are used as analysis points to finish the analysis of missing report; sending the numerical values of the false alarm value WB, the missed alarm value LB and the missed detection value LJ to a comprehensive analysis module; the alarm timeline of the monitored object is subjected to false alarm analysis and false alarm analysis, so that the values of false alarm values, false alarm values and false alarm values are marked through false alarm analysis and false alarm analysis results, and the reasons for the fact that the accuracy of the monitoring system does not meet the requirements are judged through the values of the false alarm values, the false alarm values and the false alarm values, so that the detection process can be optimized in a targeted mode, and the accuracy of the monitoring result of a subsequent monitoring system is improved.
The comprehensive analysis module is used for comprehensively analyzing the fault monitoring state of the monitored object: obtaining a comprehensive coefficient ZH of the monitored object by a formula ZH = alpha 1 × LB + alpha 2 × LJ + alpha 3 × WB, wherein the comprehensive coefficient is a numerical value reflecting the accuracy degree of the fault monitoring state of the monitored object, and the higher the numerical value of the comprehensive coefficient is, the lower the accuracy degree of the fault monitoring state of the monitored object is; wherein alpha 1, alpha 2 and alpha 3 are all proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3 is more than 1; acquiring a comprehensive threshold value ZHmax through a storage module, and comparing a comprehensive coefficient ZH of a monitored object with the comprehensive threshold value ZHmax: if the comprehensive coefficient ZH is smaller than the comprehensive threshold ZHmax, judging that the fault monitoring state of the monitored object meets the requirement; if the comprehensive coefficient ZH is larger than or equal to the comprehensive threshold ZHmax, judging that the fault monitoring state of the monitored object does not meet the requirement, and performing characteristic analysis on the fault monitoring state of the monitored object: and carrying out numerical comparison on the false alarm value WB, the missed alarm value LB and the missed detection value LJ: if the value of the wrong-report value WB is the maximum, the fault monitoring characteristic of the monitored object is marked as system wrong report, the comprehensive analysis module sends an instrument optimization signal to the operation and maintenance management platform, and the operation and maintenance management module sends the received instrument optimization signal to a mobile phone terminal of a manager; if the value of the missed report value LB is the maximum, the fault monitoring characteristic of the monitored object is marked as system missed report, the comprehensive analysis module sends an equipment updating signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the equipment updating signal to a mobile phone terminal of a manager after receiving the equipment updating signal; if the value of the missed detection value LJ is the maximum, the fault monitoring characteristics of the monitored object are marked as manual missed detection, the comprehensive analysis module sends a professional training signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the professional training signal to a mobile phone terminal of a manager after receiving the professional training signal; the fault monitoring state of the monitored object is comprehensively analyzed to obtain a comprehensive coefficient, the overall accuracy of the alarm monitoring result of the monitored object is fed back through the comprehensive coefficient, meanwhile, the risk caused by inaccurate monitoring of the monitored object is reflected by marking the fault monitoring characteristics of the monitored object, the risk caused by inaccurate monitoring of the monitored object is the highest when the system fails to report, and therefore the processing priority of the monitored object which is missed to report by the system aiming at the fault monitoring characteristics is the highest.
Example two
As shown in fig. 2, a power distribution network intelligent power operation and maintenance method includes the following steps:
the method comprises the following steps: the running state, the inspection state and the fault condition of the monitored object are recorded and uploaded to an alarm analysis module through an equipment management module, and data support is provided for missing report analysis and false report analysis;
step two: setting an alarm period for a monitored object, generating an alarm timeline according to the alarm period, marking a time point of an alarm analysis module, which receives an alarm signal corresponding to the monitored object, on the alarm timeline to obtain an alarm point, marking a time point of polling the monitored object in a polling record on the alarm timeline to obtain a polling point, marking a time point of failure of the monitored object in a failure record on the alarm timeline to obtain a failure point, marking values of missed-detection values, false-reporting values and missed-reporting values according to the distribution conditions of the alarm point, the polling point and the failure point on the alarm timeline, and judging the reason of the accuracy of the monitoring system not meeting the requirement according to the values of the missed-reporting values, the missed-reporting values and the missed-reporting values;
step three: the method comprises the steps of comprehensively analyzing the fault monitoring state of a monitored object, obtaining a comprehensive coefficient of the monitored object by carrying out numerical calculation on a missed detection value, a false alarm value and a missed alarm value, carrying out characteristic analysis on the fault monitoring state of the monitored object when the fault monitoring state of the monitored object does not meet requirements according to the numerical value of the comprehensive coefficient, and reflecting the danger caused by inaccurate monitoring of the monitored object by marking the fault monitoring characteristics of the monitored object.
When the intelligent power operation and maintenance system for the power distribution network works, the running state, the inspection state and the fault condition of a monitored object are recorded and uploaded to an alarm analysis module through an equipment management module, and data support is provided for missing report analysis and false report analysis; setting an alarm period for a monitored object, generating an alarm time line according to the alarm period, marking a time point of an alarm analysis module, which receives an alarm signal corresponding to the monitored object, on the alarm time line to obtain an alarm point, marking a time point of polling the monitored object in a polling record on the alarm time line to obtain a polling point, marking a time point of failure of the monitored object in a failure record on the alarm time line to obtain a failure point, and judging the reason of the accuracy of the monitoring system not meeting the requirement through values of a false alarm value, a missed alarm value and a missed detection value; the method comprises the steps of comprehensively analyzing the fault monitoring state of a monitored object, obtaining a comprehensive coefficient of the monitored object by carrying out numerical calculation on a missed detection value, a false alarm value and a missed alarm value, carrying out characteristic analysis on the fault monitoring state of the monitored object when the fault monitoring state of the monitored object does not meet requirements according to the numerical value of the comprehensive coefficient, and reflecting the danger caused by inaccurate monitoring of the monitored object by marking the fault monitoring characteristics of the monitored object.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula ZH = α 1 × lb + α 2 × lj + α 3 × wb; collecting multiple groups of sample data by technicians in the field and setting corresponding comprehensive coefficients for each group of sample data; substituting the set comprehensive coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.54, 3.87 and 2.16 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and a corresponding comprehensive coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameters and the quantized values is not affected, for example, the comprehensive coefficient is in direct proportion to the value of the false negative value.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (7)

1. An intelligent power operation and maintenance system of a power distribution network comprises an operation and maintenance management platform, and is characterized in that the operation and maintenance management platform is in communication connection with an equipment management module, an alarm analysis module, a comprehensive analysis module and a storage module;
the equipment management module comprises an automatic monitoring unit, a manpower inspection unit and a fault recording unit; the automatic monitoring unit is used for monitoring and analyzing the running state of the power equipment of the power distribution network and sending an alarm signal to the alarm analysis module when the running state does not meet the requirement; the manpower patrol inspection unit is used for making a patrol inspection plan of operation and maintenance personnel for the monitoring objects of the power distribution network, and the operation and maintenance personnel patrol the monitoring objects of the power distribution network according to the patrol inspection plan and upload patrol inspection records to the alarm analysis module; the fault recording unit is used for recording faults occurring in the monitored object and uploading fault records to the alarm analysis module;
the alarm analysis module is used for carrying out false alarm and false alarm analysis through the uploaded data of the equipment management module: setting an alarm period for a monitored object, generating an alarm time line according to the alarm period, marking a time point of an alarm analysis module receiving an alarm signal corresponding to the monitored object on the alarm time line to obtain an alarm point, marking a time point of polling the monitored object in a polling record on the alarm time line to obtain a polling point, and marking a time point of failure of the monitored object in a failure record on the alarm time line to obtain a failure point; carrying out false alarm analysis and false alarm analysis on the alarm timeline to obtain a false alarm value, a false alarm value and a false detection value;
the comprehensive analysis module is used for comprehensively analyzing the fault monitoring state of the monitored object: and carrying out numerical calculation on the missed report value, the false report value and the missed detection value to obtain an integrated coefficient, and judging whether the fault monitoring state of the monitored object meets the requirement or not according to the numerical value of the integrated coefficient.
2. The intelligent power operation and maintenance system for the power distribution network according to claim 1, wherein the specific process of the automatic monitoring unit for monitoring and analyzing the operation state of the power equipment of the power distribution network comprises: marking the power equipment to be monitored as a monitoring object, acquiring the monitoring object to monitor the running state and monitor a coefficient JC, acquiring a monitoring threshold value JCmax of the monitoring object through a storage module, and comparing the monitoring coefficient JC with the monitoring threshold value JCmax: if the monitoring coefficient JC is smaller than the monitoring threshold JCmax, the running state of the monitored object is judged to meet the requirement; if the monitoring coefficient JC is greater than or equal to the monitoring threshold JCmax, the running state of the detected object is judged not to meet the requirements, the equipment monitoring module sends an alarm signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the alarm signal to the alarm analysis module and the mobile phone terminal of the operation and maintenance personnel after receiving the alarm signal.
3. The intelligent power operation and maintenance system for the power distribution network according to claim 2, wherein the specific process of performing the false alarm analysis on the alarm timeline comprises: selecting two alarm points on the leftmost side as marking points, and analyzing whether a patrol inspection point and a fault point exist between the two marking points: if the routing inspection point and the fault point do not exist between the two marking points, the device management module is judged to have a false alarm phenomenon between the two marking points, and the value of the false alarm value WB is increased by one; if only a fault point exists between the two mark points or the fault point and the inspection point exist simultaneously but the inspection point is positioned on the right side of the fault point, the equipment management module is judged that no false alarm phenomenon occurs between the two mark points, but the operation and maintenance personnel have an omission phenomenon, and the numerical value of the omission value LJ is increased by one; marking the second alarm point on the left side and the third alarm point on the left side as mark points, and analyzing whether a patrol inspection point and a fault point exist between the two mark points; and repeating the steps until all the alarm points are used as the mark points to perform false alarm analysis.
4. The intelligent power operation and maintenance system for the power distribution network according to claim 3, wherein the specific process of analyzing the alarm timeline for false negative comprises: selecting two leftmost fault points as analysis points, and analyzing whether an alarm point and a routing inspection point exist between the two analysis points: if the alarm point and the patrol inspection point do not exist between the two analysis points, judging that the device management module has a report missing phenomenon between the two analysis points, and adding one to the numerical value LB of the report missing value; if only an alarm point exists between the two analysis points or the alarm point and the inspection point exist at the same time but the inspection point is positioned on the left side of the alarm point, judging that the missing inspection phenomenon occurs between the two analysis points, and adding one to the numerical value of the missing inspection value LJ; marking the second fault point on the left side and the third fault point on the left side as analysis points, and analyzing whether a patrol point and an alarm point exist between the two analysis points; and analogizing until all fault points are used as analysis points to finish the analysis of missing report; and sending the numerical values of the false alarm value WB, the missed alarm value LB and the missed detection value LJ to the comprehensive analysis module.
5. The intelligent power operation and maintenance system for the power distribution network according to claim 4, wherein the specific process of determining whether the fault monitoring state of the monitored object meets the requirement comprises: acquiring a comprehensive threshold value through a storage module, and comparing a comprehensive coefficient of a monitored object with the comprehensive threshold value: if the comprehensive coefficient is smaller than the comprehensive threshold value, judging that the fault monitoring state of the monitored object meets the requirement; and if the comprehensive coefficient is larger than or equal to the comprehensive threshold value, judging that the fault monitoring state of the monitored object does not meet the requirement, and performing characteristic analysis on the fault monitoring state of the monitored object.
6. The intelligent power operation and maintenance system for the power distribution network according to claim 5, wherein the specific process of performing characteristic analysis on the fault monitoring state of the monitored object comprises: and carrying out numerical comparison on the false alarm value WB, the missed alarm value LB and the missed detection value LJ:
if the value of the wrong-report value WB is the maximum, the fault monitoring characteristic of the monitored object is marked as system wrong report, the comprehensive analysis module sends an instrument optimization signal to the operation and maintenance management platform, and the operation and maintenance management module sends the received instrument optimization signal to a mobile phone terminal of a manager;
if the value of the missed report value LB is the maximum, the fault monitoring characteristic of the monitored object is marked as system missed report, the comprehensive analysis module sends an equipment updating signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the equipment updating signal to a mobile phone terminal of a manager after receiving the equipment updating signal;
if the value of the missed detection value LJ is the maximum, the fault monitoring characteristics of the monitored object are marked as manual missed detection, the comprehensive analysis module sends a professional training signal to the operation and maintenance management platform, and the operation and maintenance management platform sends the professional training signal to a mobile phone terminal of a manager after receiving the professional training signal.
7. The intelligent power operation and maintenance system for the power distribution network according to any one of claims 1 to 6, wherein the operation method of the intelligent power operation and maintenance system for the power distribution network comprises the following steps:
the method comprises the following steps: the running state, the inspection state and the fault condition of the monitored object are recorded through the equipment management module and uploaded to the alarm analysis module;
step two: setting an alarm period for a monitored object, generating an alarm time line according to the alarm period, marking a time point of an alarm analysis module receiving an alarm signal corresponding to the monitored object on the alarm time line to obtain an alarm point, marking a time point of polling the monitored object in a polling record on the alarm time line to obtain a polling point, marking a time point of failure of the monitored object in a failure record on the alarm time line to obtain a failure point, and marking numerical values of missed detection values, false alarm values and missed alarm values according to the distribution conditions of the alarm point, the polling point and the failure point on the alarm time line;
step three: the fault monitoring state of the monitored object is comprehensively analyzed, a comprehensive coefficient of the monitored object is obtained by carrying out numerical calculation on the undetected value, the false alarm value and the missed alarm value, whether the fault monitoring state of the monitored object meets the requirement or not is judged according to the numerical value of the comprehensive coefficient, and characteristic analysis is carried out on the fault monitoring state of the monitored object when the fault monitoring state of the monitored object does not meet the requirement.
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