CN116468223A - Full life cycle operation information management system of equipment - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- 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 discloses a full life cycle operation information management system of equipment, includes: the load change analysis module is used for analyzing the time period load of the transformer to obtain a load change analysis result; the power change analysis module is used for carrying out trend change analysis according to the power related data to obtain a power factor trend graph; the low-voltage analysis module of the transformer area is used for carrying out low-voltage characteristic analysis of the transformer area according to the low-voltage times and the low-voltage time length to obtain a low-voltage analysis result; the distribution transformer load analysis module is used for acquiring load related data of transformer substation, and analyzing load change characteristics in a preset time period based on the load related data to obtain a load analysis result; the abnormality monitoring module is used for triggering an alarm prompt when abnormal data appear in the load change analysis result, the power factor trend graph, the low-voltage analysis result or the load analysis result. The technical problem that the conventional metering automation master station system is difficult to meet the increasingly personalized data analysis requirements can be solved.
Description
Technical Field
The application relates to the technical field of equipment management, in particular to a full life cycle operation information management system of equipment.
Background
Along with the increasing of the personalized data analysis demands of the power supply offices of all the places, the conventional provincial centralized metering automation master station system is difficult to simultaneously consider the personalized demands of the power supply offices of all the places. The provincial centralized metering automation master station system pushes the collected basic information such as load data, archive data, alarm data and the like to various cities at regular time every day, and data support is provided for the application innovation of the cities. Meanwhile, the company data center is also connected with business data of main systems such as a metering automation system, a marketing management system, a distribution network GIS system, an asset management system and the like, and mass data support is provided for deep data analysis. In order to respond to the requirements of the network province company on marketing lean management actively, the digital transformation of the power supply bureau is promoted, and the construction of a modern power grid and the construction of a modern power supply service system are accelerated. Several integrated data information management platforms and systems are presented.
However, in the prior art, information collection, analysis and management are performed based on a metering automation master station, so that the management mode is difficult to meet the increasingly-increasing personalized data analysis demands, and the management level of the system is deficient, so that the actual management effect is poor.
Disclosure of Invention
The application provides a full life cycle operation information management system of equipment, which is used for solving the technical problem that the traditional metering automation master station system is difficult to meet the increasingly personalized data analysis demands.
In view of this, a first aspect of the present application provides a device full lifecycle operation information management system, including: the system comprises a load change analysis module, a power change analysis module, a transformer area low voltage analysis module, a distribution transformer load analysis module and an abnormality monitoring module;
the load change analysis module is used for carrying out statistical analysis on the time period load of the transformer to obtain a load change analysis result, wherein the load change analysis result is in a chart format, and the time period load comprises a daily load and a month load;
the power change analysis module is used for acquiring power related data of the transformer in the transformer area, calculating a power factor according to the power related data, and carrying out trend change analysis according to the power factor to obtain a power factor trend chart, wherein the power factor trend chart comprises a power factor value and corresponding occurrence time;
the low-voltage analysis module is used for obtaining the low-voltage times and the low-voltage time length of the transformer area equipment, and carrying out transformer area low-voltage characteristic analysis according to the low-voltage times and the low-voltage time length to obtain a low-voltage analysis result;
the distribution transformer load analysis module is used for acquiring load related data of transformer substation, calculating a load rate based on the load related data, and analyzing load change characteristics in a preset time period according to the load rate to obtain a load analysis result, wherein the load analysis result comprises overload, heavy load and light load;
the abnormality monitoring module is used for triggering an alarm prompt when abnormal data appear in the load change analysis result, the power factor trend graph, the low voltage analysis result or the load analysis result, wherein the alarm prompt comprises equipment basic information display, abnormal data display and acousto-optic alarm.
Preferably, the method further comprises: a device archive management module;
and the equipment file management module is used for acquiring comprehensive data information of the metering automation master station, the distribution network GIS system, the marketing management system and the asset management system, and storing the comprehensive data information in a preset format in a correlated way to obtain correlated comprehensive information.
Preferably, the method further comprises: an abnormal distribution analysis module;
the abnormal distribution analysis module is used for counting the abnormal alarm data in the system and analyzing the distribution condition of the abnormal alarm type proportion to obtain an abnormal alarm distribution result.
Preferably, the method further comprises: a display module;
the display module is used for uniformly displaying the basic information, the abnormal data and the trend characteristic chart of the equipment in the system and providing a related parameter configuration display interface.
Preferably, the method further comprises: the power supply quantity analysis module of the station area;
the power supply and sales quantity analysis module is used for counting the power supply and sales quantity in the preset time period, and carrying out power equal ratio and power annular ratio analysis according to the power supply and sales quantity and the comparison threshold value to obtain a power consumption analysis result, wherein the power consumption analysis result comprises a power supply quantity trend and a power sales quantity trend.
Preferably, the district power supply quantity analysis module is further configured to:
and carrying out power consumption mutation analysis according to the power supply quantity and the preset mutation rate, and screening out power consumption mutation abnormal data.
Preferably, the method further comprises: a line loss analysis module;
the line loss analysis module is used for calculating the relevant loss of various equipment in the area, and analyzing the line loss condition of the area according to the power supply quantity and the relevant loss to obtain a line loss analysis result.
Preferably, the method further comprises: a multi-source power outage analysis module;
the multi-source power outage analysis module is used for acquiring a power outage record, analyzing related parameters of power outage according to the power outage record, and analyzing power outage influence based on the related parameters of power outage to obtain a power outage influence analysis result.
Preferably, the method further comprises: an operation and maintenance suggestion configuration module;
the operation and maintenance suggestion configuration module is used for providing an editing interface for configuring operation and maintenance suggestions according to the alarm prompt, and the operation and maintenance suggestions comprise operation suggestions, threshold setting suggestions and operation descriptions.
Preferably, the method further comprises: an operation and maintenance decision module;
and the operation and maintenance decision module is used for selecting the operation and maintenance suggestion from a decision information base by combining various data analysis operations of the system when the system triggers the alarm prompt, so as to be checked by an operator.
From the above technical solutions, the embodiments of the present application have the following advantages:
in the present application, a system for managing full life cycle operation information of a device is provided, including: the system comprises a load change analysis module, a power change analysis module, a transformer area low voltage analysis module, a distribution transformer load analysis module and an abnormality monitoring module; the load change analysis module is used for carrying out statistical analysis on the time period load of the transformer to obtain a load change analysis result which is in a chart format, wherein the time period load comprises daily load and monthly load; the power change analysis module is used for acquiring power related data of the transformer in the transformer area, calculating a power factor according to the power related data, and carrying out trend change analysis according to the power factor to obtain a power factor trend chart, wherein the power factor trend chart comprises power factor values and corresponding occurrence time; the low-voltage analysis module is used for obtaining the low-voltage times and the low-voltage time of the equipment in the transformer area, and carrying out analysis on the low-voltage characteristics of the transformer area according to the low-voltage times and the low-voltage time to obtain a low-voltage analysis result; the distribution transformer load analysis module is used for acquiring load related data of transformer substation, calculating load rate based on the load related data, and analyzing load change characteristics in a preset time period according to the load rate to obtain a load analysis result, wherein the load analysis result comprises overload, heavy load and light load; the abnormal monitoring module is used for triggering an alarm prompt when abnormal data appear in the load change analysis result, the power factor trend graph, the low-voltage analysis result or the load analysis result, wherein the alarm prompt comprises equipment basic information display, abnormal data display and an acousto-optic alarm.
According to the equipment full life cycle operation information management system, various data analysis modules are integrated, and operation related information of equipment in the system is analyzed in a targeted mode, namely load change analysis, power factor analysis, transformer area low voltage analysis and distribution transformer load analysis; and the method also carries out alarm prompt aiming at abnormal conditions generated by data analysis, and can carry out timely feedback aiming at different problems of equipment, thereby realizing more comprehensive information management. Therefore, the method and the device can solve the technical problem that the conventional metering automation master station system is difficult to meet the increasingly personalized data analysis demands.
Drawings
Fig. 1 is a schematic structural diagram of a device full life cycle operation information management system according to an embodiment of the present application;
fig. 2 is a diagram illustrating a full life cycle operation monitoring example of a large client device according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The power supply bureau is designed to develop customer power consumption data analysis and application project based on marketing data analysis based on main business system data such as a metering automation master station system, a marketing management system, a distribution network GIS system, an asset management system and the like, comprehensively serve each business development of a power supply service center of the power supply bureau in the Zhongshan, and further promote the modern power supply service management level.
For ease of understanding, referring to fig. 1, an embodiment of a device full lifecycle operation information management system provided in the present application includes: the system comprises a load change analysis module 101, a power change analysis module 102, a transformer area low voltage analysis module 103, a distribution transformer load analysis module 104 and an abnormality monitoring module 105.
The load change analysis module 101 is configured to perform statistical analysis on a time period load of the transformer, so as to obtain a load change analysis result, where the load change analysis result is in a graph format, and the time period load includes a daily load and a monthly load.
The load of the transformer in a period of time is counted by taking the client transformer as a target, so as to obtain the period of time load, wherein the period of time can be daily or monthly, and is mainly set based on actual analysis requirements, and the method is not limited. The load change analysis mainly analyzes the trend of the load change in the period of time so as to obtain a load change curve; the load change curve can be used to determine parameters such as maximum load and minimum load, and based on the parameters, average load and load homonymy can be calculated. In addition, the load parameters can be divided into active and reactive according to actual needs, and the specific method is not limited herein. The operator can filter the query transformer load according to organization, customer number, customer name, transformer number, start time, end time.
The power change analysis module 102 is configured to obtain power related data of the transformer area, calculate a power factor according to the power related data, perform trend change analysis according to the power factor, and obtain a power factor trend chart, where the power factor trend chart includes power factor values and corresponding occurrence times.
The power-related data can calculate the power factor and other power-related parameters as required, and the type of data contained in the power-related data is not limited herein, so long as the power condition of the transformer in the transformer area can be comprehensively and accurately reflected.
Similarly, the trend graph of the power factor obtained through trend change analysis can be a trend graph, and the fluctuation condition of the power factor can be accurately reflected. If a trend graph is obtained, the maximum value and the minimum value of the power factor can be determined, and each power factor value corresponds to specific occurrence time, so that traceability analysis is facilitated. And the difference between the maximum value and the minimum value can be calculated, and if the difference is arranged in ascending order, certain transformer operation characteristics can be reflected. It should be noted that, the power factor trend analysis method is mainly used in the analysis process of the metering automation master station, and is mainly used for researching the power change trend in the metering point.
The low voltage analysis module 103 is configured to obtain the low voltage times and the low voltage duration of the transformer substation equipment, and perform analysis on the low voltage characteristics of the transformer substation according to the low voltage times and the low voltage duration, so as to obtain a low voltage analysis result.
The time that the low voltage occurs to the equipment under the large customer of the transformer area can reflect whether the voltage is abnormal or not, can be marked according to an organization, a starting time, an ending time, a large customer number, a customer name, a transformer code and the like, statistics of detailed information is carried out, and then analysis of the low voltage characteristics of the transformer area is carried out according to the counted low voltage times and low voltage time to obtain a low voltage analysis result; there may be voltage anomalies in the low voltage analysis results.
The distribution transformer load analysis module 104 is configured to obtain load related data of transformer substation, calculate a load rate based on the load related data, and analyze load change characteristics within a preset time period according to the load rate to obtain a load analysis result, where the load analysis result includes overload, heavy load and light load.
The load related data is mainly used for calculating the load rate, but may be used in other calculation processes according to the system requirement, or other types of load related data are additionally acquired, which is not limited herein. The load rate change analysis can be based on daily load change conditions or monthly load change conditions, so that the load change trend in different time periods can be obtained. In addition, according to the load analysis result obtained by analysis, namely, the load rate change curve, the overload, heavy load and light load respectively occur in the time or the time period, so that the running state of the transformer can be more accurately mastered. And the specific information such as overload duty ratio, heavy duty ratio, light duty ratio and normal duty ratio can be calculated, so that the monitoring of the transformer related data by the management system is facilitated.
The abnormality monitoring module 105 is configured to trigger an alarm prompt when abnormal data occurs in the load change analysis result, the power factor trend graph, the low voltage analysis result or the load analysis result, where the alarm prompt includes equipment basic information display, abnormal data display and an acousto-optic alarm.
Whether the load change analysis result, the power factor trend graph, the low-voltage analysis result or the load analysis result belongs to the trend or state change analysis result, the monitoring platform is used for monitoring whether an abnormal condition occurs in the platform system or not and realizing alarming based on the abnormal condition, so that the comprehensive monitoring and management of the full life cycle operation information of the equipment are realized. Therefore, if abnormal conditions occur in the results, different alarm modes can be adopted for prompting; the method can be specifically visual presentation of basic information of the equipment and corresponding abnormal data, and can be also used for giving an audible and visual alarm so as to remind operators of abnormal occurrence. In addition, the prompt can be carried out by sending a short message or a mail; therefore, different anomalies can be set to different alarm levels and alarm modes, confusion caused by repetition is avoided, and the same alarm degree is not caused for all anomalies.
Further, the method further comprises the following steps: a device archive management module;
and the equipment file management module is used for acquiring comprehensive data information of the metering automation master station, the distribution network GIS system, the marketing management system and the asset management system, and storing the comprehensive data information in a correlation manner in a preset format to obtain correlated comprehensive information.
The main sources of the comprehensive data information in this embodiment are a metering automation master station, a distribution network GIS system, a marketing management system and an asset management system, and if other information sources exist in the actual operation process, the method is also not limited herein. Because the information dimension and format of the business data information of different subsystems are not the same, but are all important related data, information association is needed; then it is necessary to store the different data in association based on different preset formats, so that when information is queried based on a certain type of information index, more comprehensive associated information can be obtained. In addition, the positioning information of a plurality of large clients can be queried in the constructed equipment file according to actual needs, and the specific process is not repeated.
For example, the method can be used for inquiring the information of the ammeter, the terminal, the transformer, the cable, the switch, the reactive compensation and the operation event according to large clients; the method comprises the steps of supporting to filter and inquire asset profile information under a large client according to an organization, a client number, a client name, an electricity address, a user number, a user name, a terminal logic address and an ammeter asset number; the comprehensive information also comprises: customer number, customer name, number of users, metering points, number of electric meters, number of terminals, number of transformers, number of switches, number of cables, and number of reactive compensation devices.
Further, the method further comprises the following steps: an abnormal distribution analysis module;
the abnormal distribution analysis module is used for counting the abnormal alarm data in the system and analyzing the distribution condition of the abnormal alarm type proportion to obtain an abnormal alarm distribution result.
Counting all abnormal alarm events occurring in one time, and dividing according to alarm types to obtain the distribution result of abnormal alarms; the embodiment adopts the pie chart for presentation, so that the characteristic of abnormal alarm can be reflected, and the related data of the abnormal duty ratio can be displayed. Such as transformer anomaly ranking, etc. Of course, the presentation mode, such as a table and a graph, may be selected according to actual needs, and this embodiment provides only one example, and is not limited thereto. In addition, the method can also support the filtering of the abnormal alarm information according to the organization, the client number, the client name, the transformer number, the starting time and the ending time, and also support the ranking condition of the abnormal alarm quantity.
Further, the method further comprises the following steps: a display module;
the display module is used for uniformly displaying the equipment basic information, the abnormal data and the trend characteristic chart in the system and providing a relevant parameter configuration display interface.
The display module can be used for displaying all different types of information in the system, whether the information is equipment basic information or analysis results, abnormal alarm information and the like. The system management information is displayed to operators more intuitively, so that the operators can manage and control the system management information conveniently.
For example, in the case of a device archive management phase, the meter data items that can be presented are: the method comprises the steps of providing a user number, a user name, a power address, a metering point number, a meter address, an ammeter asset number, a meter reading sequence number, an affiliated terminal logic address, a comprehensive multiplying power, rated current (A, rated voltage (V, ammeter manufacturer, ammeter model, ammeter factory number, wiring mode, ammeter type, installation date and operating state), displaying terminal information including a terminal logic address, a terminal asset number, a terminal manufacturer, a terminal model, a SIM card serial number, a SIM card telephone number, a SIM card IP, a terminal asset type and a terminal state.
If the load change analysis stage is adopted, the data which can be displayed are transformer number drilling detail data, and the displayed data items are as follows: management units, user numbers, user names, metering point numbers, electricity meter asset numbers, meter addresses, meter reading sequence numbers, data time, total active power (kW), total reactive power (kVar).
In the case of the distribution transformer load analysis stage, the data which can be displayed are as follows: organization, large customer number, large customer name, data time, heavy load duty ratio, overload duty ratio, light load duty ratio, normal duty ratio, total number of transformers. Further comprises: the load evaluation drill detail comprises the following specific data items: management unit, transformer name, transformer number, transformer model, transformer capacity, number of times, last occurrence start time, last occurrence end time, duration (minutes).
If the power supply and sales analysis stage of the station area, the data can be displayed as follows: organization, large customer number, large customer name, data time, forward active total power, forward active peak power, forward active average power, forward active valley power, forward reactive total power, last month simultaneous power, last year contemporaneous power, power homonymous (%), power cycle (%). And the forward active total electric quantity is used for checking detail data, and the displayed data items are as follows: management unit, user number, user name, measurement point number, ammeter asset number, meter address, data time, forward active total power, forward active peak power, forward active flat power, forward active valley power, and forward reactive total power.
In the case of the power factor analysis phase, the data that can be presented include: the system comprises an organization mechanism, a transformer number, a transformer name, a data time, a maximum total power factor occurrence time, a minimum total power factor occurrence time, an A phase maximum power factor, an A phase maximum occurrence time, an A phase minimum power factor, an A phase minimum occurrence time, a B phase maximum power factor, a B phase maximum occurrence time, a B phase minimum power factor, a B phase minimum occurrence time, a C phase maximum power factor, a C phase maximum occurrence time, a C phase minimum power factor, a C phase minimum occurrence time and a trend graph.
In the case of a multisource outage data analysis stage, the data that can be presented include: organization, transformer number, transformer name, data time, total duration (hours) of power outage, number of times of power outage, average duration (hours) of power outage, number of users affected by power outage, and electric quantity affected by power outage; organization, large customer number, large customer name, user number, user name, power outage list number, power outage reason, power outage category, power outage equipment, power outage actual start time, power outage actual end time, metering acquisition power outage start time, metering acquisition power restoration start time, and power outage duration (hours).
In the case of an abnormal alarm distribution analysis stage, the displayable data include: the method comprises the steps of organizing a mechanism, transformer numbers, transformer names, data time, terminal offline quantity, terminal offline duty ratio, meter code abnormal quantity, meter code abnormal duty ratio, online no-meter code quantity and online no-meter code duty ratio; the transformer number looks over the detail data, specifically has: management unit, large customer number, large customer name, user number, user name, transformer number, transformer name, alarm time, alarm name.
In the case of a low voltage analysis stage of the station, the data that can be presented are: voltage anomaly data display, data items are: organization, large customer number, large customer name, user number, user name, transformer number, transformer name, data time, low voltage number, low voltage duration (minutes); the low-voltage times check the low-voltage detail data, specifically: management unit, large customer number, large customer name, user number, user name, transformer number, transformer name, low voltage occurrence start time, low voltage occurrence end time, duration (minutes).
If the operation and maintenance decision stage is adopted, a large client exception list can be displayed, and the displayed data items are as follows: organization, large customer number, large customer name, user number, user name, transformer number, transformer name, data time, anomaly cause, operation and maintenance advice.
Further, the method further comprises the following steps: the power supply quantity analysis module of the station area;
and the power supply and sales quantity analysis module is used for counting the power supply and sales quantity in a preset time period, and carrying out power supply and sales quantity same ratio and power ring ratio analysis according to the power supply and sales quantity and a comparison threshold value to obtain a power consumption analysis result, wherein the power consumption analysis result comprises a power supply quantity trend and a power sales quantity trend.
It will be appreciated that the preset time period may or may not be identical to the time setting of the load analysis phase, and is not limited herein. The power supply and sales quantity comprises power supply quantity and power sales quantity, and the power supply and sales quantity comparability parameters can be stored in a sequencing mode, so that results with reference significance can be provided conveniently during inquiry. Moreover, the same ratio or loop ratio parameter may also be compared to a comparison threshold, and if the comparison threshold is exceeded, the data may be anomalous. That is, in addition to the power supply amount trend and the sales amount trend, there may be an abnormal result in the electricity analysis result.
Further, the power supply quantity analysis module of the platform area is further used for:
and carrying out power consumption mutation analysis according to the power supply quantity and the preset mutation rate, and screening out power consumption mutation abnormal data.
The electricity consumption mutation analysis essence is that the electricity supply and sales amount analysis process with a preset time period being a month can obtain electricity supply amount and electricity sales amount transformation trend with the month being a time dimension, and whether electricity consumption mutation exists in the electricity consumption amount transformation trend can be judged through the set reference mutation rate, so that the electricity consumption mutation abnormal data are screened out. The screening of the abnormal data except the power consumption mutation can directly send out an alarm prompt to inform an operator to take necessary operation and maintenance measures.
Further, the method further comprises the following steps: a line loss analysis module;
and the line loss analysis module is used for calculating the relevant loss of various equipment in the station area, and analyzing the line loss condition of the station area according to the power supply quantity and the relevant loss to obtain a line loss analysis result.
The line loss analysis mainly calculates the relationship between the power supply and sales quantity and the line loss fluctuation according to the power supply and sales quantity condition, and the related loss in the embodiment comprises the electric energy loss of each voltage level in the whole power grid, the transformer loss of the transformer area, the main distribution line and the transformer loss and the like, so that the relationship between the related losses and the power supply and sales quantity is analyzed, and the line loss analysis result is obtained.
Further, the method further comprises the following steps: a multi-source power outage analysis module;
the multi-source power outage analysis module is used for acquiring a power outage record, analyzing related parameters of power outage according to the power outage record, and analyzing power outage influence based on the related parameters of power outage to obtain a power outage influence analysis result.
It should be noted that the power outage records include a planned power outage record and a fault power outage record; the related parameters of the power failure comprise the total duration of the power failure, the power failure times and the average duration of the power failure; and analyzing the power outage influence based on the related parameters of the power outage according to the power outage record and the power outage alarm of the metering automation master station, and obtaining a power outage influence analysis result. The analysis of the power failure condition can timely provide targeted high-quality electricity utilization maintenance service for customers, so that the power supply reliability is guaranteed, the power supply service level is improved, and customer complaint events caused by failure power failure, abnormal electricity utilization and the like are greatly reduced. The method also supports the filter inquiry of the power failure information of the transformer name, the transformer number, the starting time and the ending time; and filtering and inquiring the outage information according to the client number, the client name, the user number, the user name, the outage starting time and the outage ending time.
Further, the method further comprises the following steps: an operation and maintenance suggestion configuration module;
and the operation and maintenance suggestion configuration module is used for providing an editing interface for configuring operation and maintenance suggestions according to the alarm prompt, wherein the operation and maintenance suggestions comprise operation suggestions, threshold setting suggestions and operation descriptions.
An operator can configure specific operation suggestions through the operation and maintenance suggestion configuration module, the operation suggestions can be divided according to types of abnormal events in the system, and the operation suggestions can specifically comprise an abnormal category name, an abnormal type name and corresponding operation suggestions. The operation and maintenance advice also comprises threshold setting advice which covers all preset reference parameter values which need to be used for threshold value abnormality judgment or grade judgment in the system. The operation instruction is generally an explanation and guidance suggestion of operation and maintenance operation suggestions, so that an operator can accurately execute operation and maintenance measures according to the operation suggestions.
Further, the method further comprises the following steps: an operation and maintenance decision module;
and the operation and maintenance decision module is used for selecting operation and maintenance suggestions in the decision information base by combining various data analysis operations of the system when the system triggers an alarm prompt, so that the operation and maintenance suggestions are checked by operators.
An operator can query specific operation and maintenance suggestions through the operation and maintenance decision module, and the system can query the decision information base for proper or corresponding operation and maintenance suggestions according to various current event analysis processes. In addition, in addition to the situation that the alarm prompt is triggered to provide the operation and maintenance suggestion, the operation and maintenance personnel can also trigger under the initiative inquiry of the operation and maintenance personnel or trigger under certain rules preset, and the operation and maintenance personnel are not limited in particular.
The queried operation and maintenance suggestions can filter and query the large-client abnormal suggestions according to the organization, the starting time, the ending time, the large-client number, the large-client name, the transformer number or the transformer name. The specific query manner may be adjusted according to the actual situation, and is not limited herein.
In view of the above, referring to fig. 2, a related example of a system of the present embodiment is provided, where main service data such as a metering automation master station, a marketing management system, a distribution network GIS system, and an asset management system are integrated to perform equipment health big data analysis, implement differentiated services guided by customer requirements, and achieve automatic identification and quick defect elimination of equipment operation and maintenance problems; the management of the large client life cycle operation information can be realized more comprehensively and reliably.
According to the equipment full life cycle operation information management system provided by the embodiment of the application, various data analysis modules are synthesized, and operation related information of equipment in the system is subjected to targeted analysis, namely load change analysis, power factor analysis, transformer area low voltage analysis and distribution transformer load analysis; and the method also carries out alarm prompt aiming at abnormal conditions generated by data analysis, and can carry out timely feedback aiming at different problems of equipment, thereby realizing more comprehensive information management. Therefore, the embodiment of the application can solve the technical problem that the conventional metering automation master station system is difficult to meet the increasingly personalized data analysis demands.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to execute all or part of the steps of the methods described in the embodiments of the present application by a computer device (which may be a personal computer, a server, or a network device, etc.). And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (RandomAccess Memory, RAM), magnetic disk or optical disk, etc.
The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A device full lifecycle operation information management system, comprising: the system comprises a load change analysis module, a power change analysis module, a transformer area low voltage analysis module, a distribution transformer load analysis module and an abnormality monitoring module;
the load change analysis module is used for carrying out statistical analysis on the time period load of the transformer to obtain a load change analysis result, wherein the load change analysis result is in a chart format, and the time period load comprises a daily load and a month load;
the power change analysis module is used for acquiring power related data of the transformer in the transformer area, calculating a power factor according to the power related data, and carrying out trend change analysis according to the power factor to obtain a power factor trend chart, wherein the power factor trend chart comprises a power factor value and corresponding occurrence time;
the low-voltage analysis module is used for obtaining the low-voltage times and the low-voltage time length of the transformer area equipment, and carrying out transformer area low-voltage characteristic analysis according to the low-voltage times and the low-voltage time length to obtain a low-voltage analysis result;
the distribution transformer load analysis module is used for acquiring load related data of transformer substation, calculating a load rate based on the load related data, and analyzing load change characteristics in a preset time period according to the load rate to obtain a load analysis result, wherein the load analysis result comprises overload, heavy load and light load;
the abnormality monitoring module is used for triggering an alarm prompt when abnormal data appear in the load change analysis result, the power factor trend graph, the low voltage analysis result or the load analysis result, wherein the alarm prompt comprises equipment basic information display, abnormal data display and acousto-optic alarm.
2. The device full lifecycle operation information management system of claim 1, further comprising: a device archive management module;
and the equipment file management module is used for acquiring comprehensive data information of the metering automation master station, the distribution network GIS system, the marketing management system and the asset management system, and storing the comprehensive data information in a preset format in a correlated way to obtain correlated comprehensive information.
3. The device full lifecycle operation information management system of claim 1, further comprising: an abnormal distribution analysis module;
the abnormal distribution analysis module is used for counting the abnormal alarm data in the system and analyzing the distribution condition of the abnormal alarm type proportion to obtain an abnormal alarm distribution result.
4. The device full lifecycle operation information management system of claim 1, further comprising: a display module;
the display module is used for uniformly displaying the basic information, the abnormal data and the trend characteristic chart of the equipment in the system and providing a related parameter configuration display interface.
5. The device full lifecycle operation information management system of claim 1, further comprising: the power supply quantity analysis module of the station area;
the power supply and sales quantity analysis module is used for counting the power supply and sales quantity in the preset time period, and carrying out power equal ratio and power annular ratio analysis according to the power supply and sales quantity and the comparison threshold value to obtain a power consumption analysis result, wherein the power consumption analysis result comprises a power supply quantity trend and a power sales quantity trend.
6. The device full life cycle operation information management system of claim 5, wherein the district power supply amount analysis module is further configured to:
and carrying out power consumption mutation analysis according to the power supply quantity and the preset mutation rate, and screening out power consumption mutation abnormal data.
7. The device full lifecycle operation information management system of claim 5, further comprising: a line loss analysis module;
the line loss analysis module is used for calculating the relevant loss of various equipment in the area, and analyzing the line loss condition of the area according to the power supply quantity and the relevant loss to obtain a line loss analysis result.
8. The device full lifecycle operation information management system of claim 1, further comprising: a multi-source power outage analysis module;
the multi-source power outage analysis module is used for acquiring a power outage record, analyzing related parameters of power outage according to the power outage record, and analyzing power outage influence based on the related parameters of power outage to obtain a power outage influence analysis result.
9. The device full lifecycle operation information management system of claim 1, further comprising: an operation and maintenance suggestion configuration module;
the operation and maintenance suggestion configuration module is used for providing an editing interface for configuring operation and maintenance suggestions according to the alarm prompt, and the operation and maintenance suggestions comprise operation suggestions, threshold setting suggestions and operation descriptions.
10. The device full lifecycle operation information management system of claim 9, further comprising: an operation and maintenance decision module;
and the operation and maintenance decision module is used for selecting the operation and maintenance suggestion from a decision information base by combining various data analysis operations of the system when the system triggers the alarm prompt, so as to be checked by an operator.
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| CN117235326A (en) * | 2023-11-16 | 2023-12-15 | 国网山东省电力公司泰安供电公司 | Visual display system of district equipment based on district portrait |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117235326A (en) * | 2023-11-16 | 2023-12-15 | 国网山东省电力公司泰安供电公司 | Visual display system of district equipment based on district portrait |
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