CN115933508B - Intelligent power operation and maintenance system for power distribution network - Google Patents
Intelligent power operation and maintenance system for power distribution network Download PDFInfo
- Publication number
- CN115933508B CN115933508B CN202211447486.4A CN202211447486A CN115933508B CN 115933508 B CN115933508 B CN 115933508B CN 202211447486 A CN202211447486 A CN 202211447486A CN 115933508 B CN115933508 B CN 115933508B
- Authority
- CN
- China
- Prior art keywords
- alarm
- monitoring
- value
- point
- fault
- 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.)
- Active
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 69
- 238000012544 monitoring process Methods 0.000 claims abstract description 170
- 238000004458 analytical method Methods 0.000 claims abstract description 126
- 238000007689 inspection Methods 0.000 claims abstract description 67
- 238000001514 detection method Methods 0.000 claims abstract description 42
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 14
- 238000012549 training Methods 0.000 claims description 9
- 238000005457 optimization Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 2
- 230000005856 abnormality Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The application belongs to the field of power distribution networks, relates to a data processing technology, and is used for solving the problem that the conventional intelligent power operation and maintenance system of the power distribution network cannot comprehensively analyze false alarm, missing alarm and missing detection phenomena of a monitoring system, in particular to the 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 application monitors and analyzes the running state of the monitoring object, uploads the monitoring and analyzing result, and combines and analyzes the monitoring data, fault data and inspection data of the monitoring object.
Description
Technical Field
The application 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 of a power distribution network.
Background
The power operation and maintenance of the distribution network is mainly responsible for comprehensively checking the administrated distribution room equipment, preparing related equipment record forms, checking according to specified equipment faults, preparing an overhaul plan and participating in overhaul and maintenance work of each transformer substation;
the monitoring system of the currently used power transformation equipment is very poor in accuracy, so that false alarm and missing alarm frequently occur, and great difficulty is caused to 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 false alarm, missing alarm and missing detection phenomena 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;
the application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide an intelligent power operation and maintenance system for a power distribution network, which is used for solving the problem that the conventional intelligent power operation and maintenance system for the power distribution network cannot comprehensively analyze false alarm, missing alarm and missing detection phenomena of a monitoring system.
The technical problems to be solved by the application are as follows: how to provide a distribution network intelligent power operation and maintenance system capable of comprehensively analyzing false alarm, missing alarm and missing detection phenomena of a monitoring system.
The aim of the application can be achieved by the following technical scheme:
the intelligent power operation and maintenance system of 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 manual 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 manual 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 inspect the monitoring object of the power distribution network according to the inspection plan and upload inspection records to the alarm analysis module; the fault recording unit is used for recording faults of the monitored object and uploading the fault records to the alarm analysis module;
the alarm analysis module is used for carrying out false alarm and missing report analysis through the uploading 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 the time point when an alarm analysis module receives an alarm signal of the corresponding monitored object on the alarm time line to obtain an alarm point, marking the time point when the monitored object is inspected in an inspection record on the alarm time line to obtain an inspection point, and marking the time point when the monitored object breaks down in a fault record on the alarm time line to obtain a fault point; performing false alarm analysis and false alarm analysis on the alarm time line to obtain a false alarm value, a false alarm value and a false alarm 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 missing report value, the false report value and the missing 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 application, the 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 running state of the monitoring object, monitoring 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 value JCmax, judging that the running state of the monitored object meets the requirement; if the monitoring coefficient JC is greater than or equal to the monitoring threshold value JCmax, the running state of the detection object is judged to be not met, 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 operation and maintenance personnel after receiving the alarm signal.
As a preferred embodiment of the application, the specific process of carrying out false alarm analysis on the alarm time line comprises the following steps: selecting two leftmost alarm points as marking points, and analyzing whether a patrol point and a fault point exist between the two marking points: if no inspection point and no fault point exist between the two mark points, judging that the equipment management module has a false alarm phenomenon between the two mark points, and adding one to the value of a false alarm value WB; if only a fault point exists between the two mark points or both the fault point and the inspection point exist but the inspection point is positioned on the right side of the fault point, judging that the equipment management module has no false alarm phenomenon between the two mark points, but the operation and maintenance personnel has a missing detection phenomenon, and adding one to the value of the missing detection value LJ; marking a second left alarm point and a third left alarm point as marking points, and analyzing whether a patrol point and a fault point exist between the two marking points; and the like until all alarm points are used as marking points for false alarm analysis.
As a preferred embodiment of the application, the specific process of carrying out the missing report analysis on the alarm time line comprises the following steps: selecting two leftmost fault points as analysis points, and analyzing whether an alarm point and a patrol point exist between the two analysis points: if no alarm point and no inspection point exist between the two analysis points, judging that the equipment management module has a missing report phenomenon between the two analysis points, and adding one to the value LB of the missing report value; if only an alarm point exists between the two analysis points or both the alarm point and the inspection point exist but the inspection point is positioned at the left side of the alarm point, judging that the missing detection phenomenon occurs between the two analysis points, and adding one to the value of the missing detection 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 the like, until all fault points are taken as analysis points to finish the missing report analysis; and sending the values of the false alarm value WB, the false alarm value LB and the false alarm value LJ to the comprehensive analysis module.
As a preferred embodiment of the present application, the specific process for determining whether the fault monitoring state of the monitored object meets the requirement includes: the comprehensive threshold value is obtained through the storage module, and the comprehensive coefficient of the monitored object is compared with the comprehensive threshold value: if the comprehensive coefficient is smaller than the comprehensive threshold, judging that the fault monitoring state of the monitored object meets the requirement; if the comprehensive coefficient is greater than or equal to the comprehensive threshold, judging that the fault monitoring state of the monitored object does not meet the requirement, and carrying out feature analysis on the fault monitoring state of the monitored object.
As a preferred embodiment of the present application, the specific process of performing feature analysis on the fault monitoring state of the monitored object includes: comparing the value of the false positive value WB, the missing positive value LB and the missing detection value LJ:
if the value of the false alarm value WB is the largest, marking the fault monitoring feature of the monitored object as system false alarm, and sending an instrument optimization signal to an operation and maintenance management platform by the comprehensive analysis module, and sending the received instrument optimization signal to a mobile phone terminal of a manager by the operation and maintenance management module;
if the value of the missing report value LB is the largest, marking the fault monitoring feature of the monitored object as system missing report, and sending an equipment update signal to an operation and maintenance management platform by the comprehensive analysis module, wherein the operation and maintenance management platform sends the equipment update signal to a mobile phone terminal of a manager after receiving the equipment update signal;
if the value of the missing detection value LJ is the largest, marking the fault monitoring feature of the monitored object as manual missing detection, and sending a professional training signal to the operation and maintenance management platform by the comprehensive analysis module, wherein 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:
step one: 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 the time point when an alarm analysis module receives an alarm signal of the corresponding monitored object on the alarm time line to obtain an alarm point, marking the time point when the monitored object is inspected in an inspection record on the alarm time line to obtain an inspection point, marking the time point when the monitored object breaks down in a fault record on the alarm time line to obtain a fault point, and marking the values of a missing inspection value, a false inspection value and a missing inspection value according to the distribution conditions of the alarm point, the inspection point and the fault point on the alarm time line;
step three: and comprehensively analyzing the fault monitoring state of the monitoring object, obtaining the comprehensive coefficient of the monitoring object by carrying out numerical calculation on the missing detection value, the false alarm value and the missing alarm value, and carrying out feature analysis on the fault monitoring state of the monitoring object when the requirement is not met by the numerical value of the comprehensive coefficient.
The application has the following beneficial effects:
1. the device management module can monitor and analyze the running state of the monitored object, upload the monitoring and analyzing result, and carry out inspection record and fault record on the monitored object at the same time, thereby providing data support for missing report analysis and false report analysis, and carrying out combined analysis on the monitoring data, fault data and inspection data of the monitored object, thereby feeding back the accuracy of the monitoring system;
2. the alarm analysis module can perform false alarm analysis and false alarm analysis on the alarm time line of the monitored object, so that the false alarm value, the false alarm value and the numerical value of the false alarm value are marked according to false alarm analysis and false alarm analysis results, and further, the reasons causing the accuracy of the monitoring system to not meet the requirements are judged according to the false alarm value, the false alarm value and the numerical value of the false alarm value are judged, and therefore, detection flow optimization can be performed in a targeted manner, and the accuracy of the monitoring result of the subsequent monitoring system is improved;
3. the comprehensive analysis module can comprehensively analyze the fault monitoring state of the monitored object and 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 through marking the fault monitoring characteristics of the monitored object, the risk caused by inaccurate monitoring is highest when the fault monitoring characteristics are in system failure reporting, and therefore the processing priority of the monitored object which aims at the fault monitoring characteristics and is in system failure reporting is highest.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
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 a device management module, an alarm analysis module, a comprehensive analysis module and a storage module.
The equipment management module comprises an automatic monitoring unit, a manual inspection unit and a fault recording unit; the automatic monitoring unit is used for monitoring and analyzing the operation state of the power equipment of the power distribution network: marking the electric equipment to be monitored as a monitoring object, acquiring the monitoring object to monitor the running state and monitoring a coefficient JC, acquiring the monitoring coefficient of the monitoring object through the type of the corresponding electric equipment, for example, when the monitoring object is a distribution box, the monitoring coefficient of the monitoring object can be obtained through weight value calculation on values such as an air temperature value, an air humidity value, a smoke concentration value and the like in the distribution box, the monitoring coefficient is only used for reflecting the running abnormality degree of the monitoring object, the larger the value of the monitoring coefficient is, the higher the running abnormality degree of the monitoring object is, the monitoring threshold JCmax of the monitoring object is acquired 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 value JCmax, judging that the running state of the monitored object meets the requirement; if the monitoring coefficient JC is greater than or equal to the monitoring threshold value JCmax, judging that the running state of the detection object does not meet the requirement, sending an alarm signal to an operation and maintenance management platform by the equipment monitoring module, and sending the alarm signal to an alarm analysis module and a mobile phone terminal of an operation and maintenance person after the operation and maintenance management platform receives the alarm signal; the manual 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 inspect the monitoring object of the power distribution network according to the inspection plan and upload inspection records to the alarm analysis module; the fault recording unit is used for recording faults of the monitored object and uploading the fault records to the alarm analysis module; and carrying out monitoring analysis on the running state of the monitoring object, uploading the monitoring analysis result, and carrying out inspection record and fault record on the monitoring object at the same time, thereby providing data support for missing report analysis and false report analysis, carrying out combined analysis on the monitoring data of the monitoring object, fault data and inspection data, and further feeding back the accuracy of a monitoring system.
The alarm analysis module is used for carrying out false alarm and missing report analysis through the uploading 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 the time point when an alarm analysis module receives an alarm signal of the corresponding monitored object on the alarm time line to obtain an alarm point, marking the time point when the monitored object is inspected in an inspection record on the alarm time line to obtain an inspection point, and marking the time point when the monitored object breaks down in a fault record on the alarm time line to obtain a fault point; false alarm analysis is carried out on the alarm time line: selecting two leftmost alarm points as marking points, and analyzing whether a patrol point and a fault point exist between the two marking points: if no inspection point and no fault point exist between the two mark points, judging that the equipment management module has a false alarm phenomenon between the two mark points, and adding one to the value of a false alarm value WB; if only a fault point exists between the two mark points or both the fault point and the inspection point exist but the inspection point is positioned on the right side of the fault point, judging that the equipment management module has no false alarm phenomenon between the two mark points, but the operation and maintenance personnel has a missing detection phenomenon, and adding one to the value of the missing detection value LJ; marking a second left alarm point and a third left alarm point as marking points, and analyzing whether a patrol point and a fault point exist between the two marking points; and so on until all alarm points are used as marking points to carry out false alarm analysis; and carrying out missing report analysis on the alarm time line: selecting two leftmost fault points as analysis points, and analyzing whether an alarm point and a patrol point exist between the two analysis points: if no alarm point and no inspection point exist between the two analysis points, judging that the equipment management module has a missing report phenomenon between the two analysis points, and adding one to the value LB of the missing report value; if only an alarm point exists between the two analysis points or both the alarm point and the inspection point exist but the inspection point is positioned at the left side of the alarm point, judging that the missing detection phenomenon occurs between the two analysis points, and adding one to the value of the missing detection 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 the like, until all fault points are taken as analysis points to finish the missing report analysis; the values of the false alarm value WB, the false alarm value LB and the false alarm value LJ are sent to a comprehensive analysis module; and carrying out false alarm analysis and missing report analysis on an alarm time line of the monitored object, so as to mark the values of the false alarm value, the missing alarm value and the missing detection value according to false alarm analysis and missing report analysis results, and judging the reasons causing the accuracy of the monitoring system to be unsatisfied according to the values of the false alarm value, the missing alarm value and the missing detection value, thereby carrying out detection flow optimization in a targeted manner and improving the accuracy of the monitoring result of the subsequent monitoring system.
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 through a formula ZH=α1LB+α2LJ+α3WB, wherein the comprehensive coefficient is a numerical value reflecting the accuracy of the fault monitoring state of the monitored object, and the greater the numerical value of the comprehensive coefficient is, the lower the accuracy of the fault monitoring state of the monitored object is; wherein, alpha 1, alpha 2 and alpha 3 are all proportional coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; the comprehensive threshold value ZHmax is obtained through the storage module, and the comprehensive coefficient ZH of the monitored object is compared 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 greater than or equal to the comprehensive threshold ZHmax, judging that the fault monitoring state of the monitored object does not meet the requirement, and carrying out feature analysis on the fault monitoring state of the monitored object: comparing the value of the false positive value WB, the missing positive value LB and the missing detection value LJ: if the value of the false alarm value WB is the largest, marking the fault monitoring feature of the monitored object as system false alarm, and sending an instrument optimization signal to an operation and maintenance management platform by the comprehensive analysis module, and sending the received instrument optimization signal to a mobile phone terminal of a manager by the operation and maintenance management module; if the value of the missing report value LB is the largest, marking the fault monitoring feature of the monitored object as system missing report, and sending an equipment update signal to an operation and maintenance management platform by the comprehensive analysis module, wherein the operation and maintenance management platform sends the equipment update signal to a mobile phone terminal of a manager after receiving the equipment update signal; if the value of the missing detection value LJ is the largest, marking the fault monitoring feature of the monitored object as manual missing detection, and sending a professional training signal to an operation and maintenance management platform by the comprehensive analysis module, wherein 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, the comprehensive coefficient is obtained, the overall accuracy of the alarm monitoring result of the monitored object is fed back through the comprehensive coefficient, meanwhile, the danger caused by the inaccuracy of the monitoring of the monitored object is reflected through marking the fault monitoring characteristics of the monitored object, the danger caused by the inaccuracy of the monitoring is highest when the fault monitoring characteristics are in system failure reporting, and therefore the processing priority of the monitored object which aims at the fault monitoring characteristics and is in system failure reporting is highest.
Example two
As shown in fig. 2, the intelligent power operation and maintenance method for the power distribution network comprises the following steps:
step one: 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, so that 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 time line according to the alarm period, marking the time point when an alarm analysis module receives an alarm signal corresponding to the monitored object on the alarm time line to obtain an alarm point, marking the time point when the monitored object is inspected in an inspection record on the alarm time line to obtain an inspection point, marking the time point when the monitored object breaks down in a fault record on the alarm time line to obtain a fault point, marking the values of a missed detection value, a false alarm value and a missed alarm value according to the distribution conditions of the alarm point, the inspection point and the fault point on the alarm time line, and judging the reasons causing the accuracy of a monitoring system to be unsatisfied by the values of the false alarm value, the missed alarm value and the missed detection value;
step three: the fault monitoring state of the monitoring object is comprehensively analyzed, the comprehensive coefficient of the monitoring object is obtained by carrying out numerical calculation on the missing detection value, the false alarm value and the missing alarm value, whether the fault monitoring state of the monitoring object meets the requirement or not is judged by the numerical value of the comprehensive coefficient, the fault monitoring state of the monitoring object is subjected to characteristic analysis when the requirement is not met, and the risk caused by inaccurate monitoring of the monitoring object is reflected by marking the fault monitoring characteristic of the monitoring object.
The intelligent power operation and maintenance system for the power distribution network is characterized in that 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 through an equipment management module and uploaded to an alarm analysis module, so that 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 the time point when an alarm analysis module receives an alarm signal corresponding to the monitored object on the alarm time line to obtain an alarm point, marking the time point when the monitored object is inspected in an inspection record on the alarm time line to obtain an inspection point, marking the time point when the monitored object breaks down in a fault record on the alarm time line to obtain a fault point, and judging the reasons causing the accuracy of a monitoring system to not meet the requirement through the values of false alarm values, missed alarm values and missed inspection values; the fault monitoring state of the monitoring object is comprehensively analyzed, the comprehensive coefficient of the monitoring object is obtained by carrying out numerical calculation on the missing detection value, the false alarm value and the missing alarm value, whether the fault monitoring state of the monitoring object meets the requirement or not is judged by the numerical value of the comprehensive coefficient, the fault monitoring state of the monitoring object is subjected to characteristic analysis when the requirement is not met, and the risk caused by inaccurate monitoring of the monitoring object is reflected by marking the fault monitoring characteristic of the monitoring object.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula zh=α1×lb+α2×lj+α3×wb; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding comprehensive coefficient for each group of sample data; substituting the set comprehensive coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 of 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 the 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 parameter and the quantized value is not affected, for example, the comprehensive coefficient is in direct proportion to the value of the missing report value.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, 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 present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. 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 application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form 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 application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The intelligent power operation and maintenance system of the 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 manual 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 manual 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 inspect the monitoring object of the power distribution network according to the inspection plan and upload inspection records to the alarm analysis module; the fault recording unit is used for recording faults of the monitored object and uploading the fault records to the alarm analysis module;
the alarm analysis module is used for carrying out false alarm and missing report analysis through the uploading 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 the time point when an alarm analysis module receives an alarm signal of the corresponding monitored object on the alarm time line to obtain an alarm point, marking the time point when the monitored object is inspected in an inspection record on the alarm time line to obtain an inspection point, and marking the time point when the monitored object breaks down in a fault record on the alarm time line to obtain a fault point; performing false alarm analysis and false alarm analysis on the alarm time line to obtain a false alarm value, a false alarm value and a false alarm detection value;
the comprehensive analysis module is used for comprehensively analyzing the fault monitoring state of the monitored object: carrying out numerical calculation on the missing report value, the false report value and the missing 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;
the specific process for carrying out false alarm analysis on the alarm time line comprises the following steps: selecting two leftmost alarm points as marking points, and analyzing whether a patrol point and a fault point exist between the two marking points: if no inspection point and no fault point exist between the two mark points, judging that the equipment management module has a false alarm phenomenon between the two mark points, and adding one to the value of a false alarm value WB; if only a fault point exists between the two mark points or both the fault point and the inspection point exist but the inspection point is positioned on the right side of the fault point, judging that the equipment management module has no false alarm phenomenon between the two mark points, but the operation and maintenance personnel has a missing detection phenomenon, and adding one to the value of the missing detection value LJ; marking a second left alarm point and a third left alarm point as marking points, and analyzing whether a patrol point and a fault point exist between the two marking points; and so on until all alarm points are used as marking points to carry out false alarm analysis;
the concrete process for carrying out the missing report analysis on the alarm time line comprises the following steps: selecting two leftmost fault points as analysis points, and analyzing whether an alarm point and a patrol point exist between the two analysis points: if no alarm point and no inspection point exist between the two analysis points, judging that the equipment management module has a missing report phenomenon between the two analysis points, and adding one to the value LB of the missing report value; if only an alarm point exists between the two analysis points or both the alarm point and the inspection point exist but the inspection point is positioned at the left side of the alarm point, judging that the missing detection phenomenon occurs between the two analysis points, and adding one to the value of the missing detection 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 the like, until all fault points are taken as analysis points to finish the missing report analysis; and sending the values of the false alarm value WB, the false alarm value LB and the false alarm value LJ to the comprehensive analysis module.
2. The intelligent power operation and maintenance system for a 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 running state of the monitoring object, monitoring 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 value JCmax, judging that the running state of the monitored object meets the requirement; if the monitoring coefficient JC is greater than or equal to the monitoring threshold value JCmax, the running state of the detection object is judged to be not met, 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 operation and maintenance personnel after receiving the alarm signal.
3. The intelligent power operation and maintenance system for a power distribution network according to claim 2, wherein the specific process of determining whether the fault monitoring state of the monitored object meets the requirement comprises: the comprehensive threshold value is obtained through the storage module, and the comprehensive coefficient of the monitored object is compared with the comprehensive threshold value: if the comprehensive coefficient is smaller than the comprehensive threshold, judging that the fault monitoring state of the monitored object meets the requirement; if the comprehensive coefficient is greater than or equal to the comprehensive threshold, judging that the fault monitoring state of the monitored object does not meet the requirement, and carrying out feature analysis on the fault monitoring state of the monitored object.
4. A distribution network intelligent power operation and maintenance system according to claim 3, wherein the specific process of performing feature analysis on the fault monitoring state of the monitored object comprises: comparing the value of the false positive value WB, the missing positive value LB and the missing detection value LJ:
if the value of the false alarm value WB is the largest, marking the fault monitoring feature of the monitored object as system false alarm, and sending an instrument optimization signal to an operation and maintenance management platform by the comprehensive analysis module, and sending the received instrument optimization signal to a mobile phone terminal of a manager by the operation and maintenance management module;
if the value of the missing report value LB is the largest, marking the fault monitoring feature of the monitored object as system missing report, and sending an equipment update signal to an operation and maintenance management platform by the comprehensive analysis module, wherein the operation and maintenance management platform sends the equipment update signal to a mobile phone terminal of a manager after receiving the equipment update signal;
if the value of the missing detection value LJ is the largest, marking the fault monitoring feature of the monitored object as manual missing detection, and sending a professional training signal to the operation and maintenance management platform by the comprehensive analysis module, wherein 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.
5. The intelligent power operation and maintenance system for a power distribution network according to any one of claims 1 to 4, wherein the working method of the intelligent power operation and maintenance system for the power distribution network comprises the following steps:
step one: 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 the time point when an alarm analysis module receives an alarm signal of the corresponding monitored object on the alarm time line to obtain an alarm point, marking the time point when the monitored object is inspected in an inspection record on the alarm time line to obtain an inspection point, marking the time point when the monitored object breaks down in a fault record on the alarm time line to obtain a fault point, and marking the values of a missing inspection value, a false inspection value and a missing inspection value according to the distribution conditions of the alarm point, the inspection point and the fault point on the alarm time line;
step three: and comprehensively analyzing the fault monitoring state of the monitoring object, obtaining the comprehensive coefficient of the monitoring object by carrying out numerical calculation on the missing detection value, the false alarm value and the missing alarm value, and carrying out feature analysis on the fault monitoring state of the monitoring object when the requirement is not met by the numerical value of the comprehensive coefficient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211447486.4A CN115933508B (en) | 2022-11-18 | 2022-11-18 | Intelligent power operation and maintenance system for power distribution network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211447486.4A CN115933508B (en) | 2022-11-18 | 2022-11-18 | Intelligent power operation and maintenance system for power distribution network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115933508A CN115933508A (en) | 2023-04-07 |
| CN115933508B true CN115933508B (en) | 2023-11-03 |
Family
ID=86696720
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211447486.4A Active CN115933508B (en) | 2022-11-18 | 2022-11-18 | Intelligent power operation and maintenance system for power distribution network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115933508B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116700092B (en) * | 2023-06-16 | 2024-02-09 | 广州正奇科技有限公司 | Operation control intelligent early warning system suitable for industrial personal computer |
| CN116777433B (en) * | 2023-06-28 | 2024-02-02 | 广州众博汇信息技术有限公司 | Industrial production line equipment operation and maintenance management system based on data analysis |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102324707A (en) * | 2011-07-04 | 2012-01-18 | 航天科工深圳（集团）有限公司 | Method and system for patrolling and maintaining power distribution network automatic terminal |
| EP2940483A1 (en) * | 2014-04-14 | 2015-11-04 | Vysoke Uceni Technicke V Brne | Evaluation method for determining of the probability of an asymmetrical fault location in a distribution network and a monitoring system for performing such method |
| CN108964269A (en) * | 2018-07-03 | 2018-12-07 | 沈阳电电科技有限公司 | Power distribution network O&M and total management system |
| CN109193446A (en) * | 2018-10-17 | 2019-01-11 | 许昌许继昌南通信设备有限公司 | Full perception detection and the inspection operational system of Distribution Network Equipment |
| CN110707823A (en) * | 2019-11-08 | 2020-01-17 | 国网上海市电力公司 | Multi-dimensional intelligent remote inspection system for transformer substation |
| CN111313552A (en) * | 2020-03-06 | 2020-06-19 | 广东君兆建设集团有限公司 | Monitoring system for power electromechanical distribution station room |
| CN111999605A (en) * | 2020-09-16 | 2020-11-27 | 珠海许继芝电网自动化有限公司 | Power distribution network fault tolerance judgment method and device based on fault correlation analysis |
| CN113131612A (en) * | 2021-03-24 | 2021-07-16 | 上海康达电力安装工程有限公司 | Intelligent power distribution monitoring method and system, intelligent terminal and storage medium |
| CN113487447A (en) * | 2021-04-19 | 2021-10-08 | 国网河北省电力有限公司电力科学研究院 | Power distribution network load prediction and line loss cause analysis method based on big data |
| WO2021217695A1 (en) * | 2020-04-29 | 2021-11-04 | 深圳市双合电气股份有限公司 | Smart data collection and sorting system for smart factory framework-based power supply and distribution grid |
| CN113806420A (en) * | 2021-08-31 | 2021-12-17 | 国网山东省电力公司金乡县供电公司 | Power grid data monitoring method and device |
| CN114928171A (en) * | 2022-06-22 | 2022-08-19 | 南京国电南思科技发展股份有限公司 | Electric power secondary equipment comprehensive monitoring system based on Internet of things |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103941158B (en) * | 2014-04-17 | 2017-01-25 | 国家电网公司 | Power distribution network fault diagnosis method based on multi-source information |
| CN112462187A (en) * | 2020-09-14 | 2021-03-09 | 佳源科技有限公司 | Power distribution network fault layered positioning method and device considering FTU (fiber to the Unit) missing report and false report |
| CN115327295A (en) * | 2022-07-29 | 2022-11-11 | 云南电网有限责任公司怒江供电局 | Power distribution network fault positioning method and system |
-
2022
- 2022-11-18 CN CN202211447486.4A patent/CN115933508B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102324707A (en) * | 2011-07-04 | 2012-01-18 | 航天科工深圳（集团）有限公司 | Method and system for patrolling and maintaining power distribution network automatic terminal |
| EP2940483A1 (en) * | 2014-04-14 | 2015-11-04 | Vysoke Uceni Technicke V Brne | Evaluation method for determining of the probability of an asymmetrical fault location in a distribution network and a monitoring system for performing such method |
| CN108964269A (en) * | 2018-07-03 | 2018-12-07 | 沈阳电电科技有限公司 | Power distribution network O&M and total management system |
| CN109193446A (en) * | 2018-10-17 | 2019-01-11 | 许昌许继昌南通信设备有限公司 | Full perception detection and the inspection operational system of Distribution Network Equipment |
| CN110707823A (en) * | 2019-11-08 | 2020-01-17 | 国网上海市电力公司 | Multi-dimensional intelligent remote inspection system for transformer substation |
| CN111313552A (en) * | 2020-03-06 | 2020-06-19 | 广东君兆建设集团有限公司 | Monitoring system for power electromechanical distribution station room |
| WO2021217695A1 (en) * | 2020-04-29 | 2021-11-04 | 深圳市双合电气股份有限公司 | Smart data collection and sorting system for smart factory framework-based power supply and distribution grid |
| CN111999605A (en) * | 2020-09-16 | 2020-11-27 | 珠海许继芝电网自动化有限公司 | Power distribution network fault tolerance judgment method and device based on fault correlation analysis |
| CN113131612A (en) * | 2021-03-24 | 2021-07-16 | 上海康达电力安装工程有限公司 | Intelligent power distribution monitoring method and system, intelligent terminal and storage medium |
| CN113487447A (en) * | 2021-04-19 | 2021-10-08 | 国网河北省电力有限公司电力科学研究院 | Power distribution network load prediction and line loss cause analysis method based on big data |
| CN113806420A (en) * | 2021-08-31 | 2021-12-17 | 国网山东省电力公司金乡县供电公司 | Power grid data monitoring method and device |
| CN114928171A (en) * | 2022-06-22 | 2022-08-19 | 南京国电南思科技发展股份有限公司 | Electric power secondary equipment comprehensive monitoring system based on Internet of things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115933508A (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115933508B (en) | Intelligent power operation and maintenance system for power distribution network | |
| CN106655522A (en) | Master station system suitable for operation and maintenance management of secondary equipment of power grid | |
| CN116050942B (en) | Fine use management system and management method for engineering construction materials | |
| CN115469176A (en) | Digital twin power grid risk assessment system based on data model | |
| CN111628570B (en) | Hydropower station safety monitoring fault diagnosis method and system | |
| CN112467724A (en) | Low-voltage distribution network fault studying and judging method | |
| CN116028887B (en) | Analysis method of continuous industrial production data | |
| CN116628774A (en) | Data storage integrity supervision system based on cloud computing | |
| CN114199962A (en) | Harmful gas analysis and monitoring system used in livestock and poultry house | |
| CN116823226A (en) | Electric power district fault monitoring system based on big data | |
| CN114928168A (en) | Offshore platform unmanned data edge computing device | |
| CN109285331B (en) | Power cable temperature early warning system based on data analysis and temperature prediction | |
| CN113153262A (en) | Offshore oilfield accessible capacity evaluation method based on cable thermal characteristics | |
| CN117150418A (en) | Transformer operation detection period formulation method and system based on state characteristic fault tree | |
| CN112365186A (en) | Health degree evaluation method and system for electric power information system | |
| CN116611953A (en) | Electric energy meter production and manufacturing real-time data management method and system based on Internet of things | |
| CN116844315A (en) | Artificial intelligent early warning method, system and storage medium | |
| CN116185757A (en) | Intelligent monitoring system for energy consumption of machine room | |
| CN115313621A (en) | Automatic operation and maintenance system and method for intelligent substation based on grey theory | |
| CN202143082U (en) | Automatic alarm device of information operation and maintenance comprehensive monitoring system | |
| CN113159605B (en) | Chemical device intelligent alarm method and system based on logistic regression | |
| CN116773238B (en) | Fault monitoring method and system based on industrial data | |
| CN115510693B (en) | DC power distribution system converter parameter optimization design method | |
| CN117268471A (en) | Optical cable distributing box operation safety monitoring system based on Internet of things | |
| CN113051339A (en) | Power grid operation information multi-dimensional display system and method |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |