CN111221956A - PMS distribution network equipment data quality checking method for power management system - Google Patents
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Abstract
The invention discloses a PMS distribution network equipment data quality checking method which is used for solving the problems of large workload, time and labor consumption and high error rate of manual transaction screening of ledger data in the prior art. The method comprises the following steps: and loading a machine account data table in the PMS, determining a corresponding check rule packaged in a rule base based on the equipment type in the machine account data table, carrying out transaction screening on the value of the examination field in the machine account data table according to the corresponding check rule, and storing records corresponding to the transaction data subjected to the transaction screening in the machine account data table. The method has the advantages that the method can rapidly perform transaction screening on the standing book data in the PMS, manual screening is not needed, and the time-consuming phenomena of high error rate and repeated screening of manual screening are avoided.
Description
Technical Field
The invention relates to the technical field of power data processing, in particular to a PMS distribution network equipment data quality checking method.
Background
The internet management department of provincial and municipal companies of the state network power company and the agricultural and distribution network production management department need to screen the transaction of the equipment ledger data according to the examination parameter check rule of various equipment and perform data quality monitoring, analysis and transaction correction according to the screened transaction data. In actual work, screening data quality abnormal movement rules are complex, the data size is huge, repeated data screening, pasting and other operations need to be carried out, the workload is large, particularly for personnel who monitor and analyze according to equipment field rules, a large amount of energy and time are often consumed during data processing, screening errors or screen omission happens carelessly, and for distribution network equipment account data operation and maintenance personnel in the production line, the method for screening abnormal movement is lacked, and autonomous data quality control development cannot be supported.
Disclosure of Invention
The embodiment of the invention provides a PMS distribution network equipment data quality checking method, which is used for solving the problems of large workload, time and labor consumption and high error rate of manual transaction screening of ledger data in the prior art.
The embodiment of the invention provides a method for checking data quality of PMS distribution network equipment, which comprises the following steps: and loading a machine account data table in the PMS, determining a corresponding checking rule packaged in a rule base based on the equipment type in the machine account data table, carrying out transaction screening on the value of the examination field in the machine account data table according to the corresponding checking rule, and storing records corresponding to the transaction data subjected to the transaction screening in the machine account data table.
Preferably, after the ledger data table in the PMS is loaded, the path of the transaction data store is selected before the corresponding check rule encapsulated in the rule base is determined based on the device type in the ledger data table.
Preferably, the standing book data table includes a plurality of pieces of standing book data, and each piece of standing book data includes a device type and an assessment field.
Preferably, the checking rules in the rule base include a device type, assessment fields corresponding to the device type, an integrity rule, an accuracy rule and a consistency rule, the integrity rule is used for checking that all the assessment fields in the ledger data sheet are not empty, the accuracy rule is used for defining a threshold range of the assessment fields, and the consistency rule is used for defining business logic errors between the assessment fields.
Preferably, before determining the corresponding checking rule encapsulated in the rule base based on the device type in the ledger data table, the method further includes: and selecting the equipment type contained in the standing account data table, and determining that the equipment type in the standing account data table is consistent with the equipment type in the rule base.
Preferably, the examination fields in the standing book data table are screened in a transaction mode according to the corresponding checking rule, and the screening comprises the following steps: and screening the values under the examination fields of each piece of standing book data in the standing book data table one by one according to the examination rules in the rule base to obtain abnormal data which do not meet the examination rules.
Preferably, the recording of the transaction data after the transaction screening in the account data table respectively includes: and respectively recording the transaction data and the transaction reasons at the tail ends of all the examination fields of the standing book data.
Preferably, the equipment types include distribution transformers, pole-mounted transformers, in-station circuit breakers, pole-mounted load switches, pole-mounted disconnectors, pole-mounted drop-out fuses, switching stations, distribution rooms, ring network cabinets, cable branch boxes, box substations, towers, hardware fittings, lines, wires and cables.
The beneficial effects of the invention include: by adopting the data quality checking method for the PMS distribution network equipment in the embodiment of the invention, the abnormal change screening can be rapidly carried out on the machine account data in the PMS, a large amount of machine account data can be processed in a few minutes, manual screening is not needed, the time-consuming phenomenon of high error rate and repeated screening of manual screening is avoided, the abnormal change data can be classified according to each equipment machine account, or classified display is carried out according to three different change reasons, and the data quality monitoring, analysis and abnormal change correction are more convenient; the PMS distribution network equipment data quality checking tool for completing the method adopts a modular design, an interface module, a rule module and a function integration module, and is very easy to modify and adjust for new equipment type ledger data screening or new functions of ledger data screening.
Detailed Description
In order to provide a scheme for automatically screening abnormal situations of PMS ledger data, a preferred embodiment of the present invention is explained below.
The embodiment of the invention provides a method for checking data quality of PMS distribution network equipment, which comprises the following steps: and loading a machine account data table in the PMS, determining a corresponding checking rule packaged in a rule base based on the equipment type in the machine account data table, carrying out transaction screening on the value of the examination field in the machine account data table according to the corresponding checking rule, and respectively and correspondingly recording transaction data after the transaction screening in the machine account data table.
Specifically, a ledger data table downloaded in the PMS system is loaded first, the ledger data table includes a plurality of ledger data, and each ledger data includes a device type and an assessment field. For example, the device type is of a distribution transformer, and the assessment fields include: property of the assets, property units, equipment names, commissioning date, whether rural power grid is available, whether dual power supply is available, model, factory number, factory date, voltage ratio, rated current (high voltage), rated current (low voltage), short circuit loss (W), rated capacity (kVA), affiliated power station, no-load loss (W), ground resistance (R) and engineering number.
The checking rules in the rule base comprise equipment types, assessment fields corresponding to the equipment types, integrity rules, accuracy rules and consistency rules, wherein the integrity rules are used for checking that all the assessment fields in the account data table are not empty, the accuracy rules are used for defining the threshold range of the assessment fields, and the consistency rules are used for defining business logic errors among the assessment fields. For example, the device type is of a distribution transformer, and the assessment fields include: property of the assets, property units, equipment names, commissioning date, whether rural power grid is available, whether dual power supply is available, model, factory number, factory date, voltage ratio, rated current (high voltage), rated current (low voltage), short circuit loss (W), rated capacity (kVA), affiliated power station, no-load loss (W), grounding resistance (R) and engineering number.
Integrity rules: all assessment field information must not be null.
The accuracy rule is as follows: rated capacity (kVA) is not less than 1.20 and not more than 2500. No-load loss (W) is more than or equal to 2.100 and less than or equal to 4000. 3.1000 is less than or equal to load loss (W) is less than or equal to 20000. 4. The number of the character bits of the project number is equal to 12, the first two bits are the beginning of 18(10kV distribution network infrastructure), 21 (production technology improvement), 27 (other production technology improvement) or C1 (user engineering), the 3 rd and 4 th bits are 29 (provincial company code), the 5 th and 6 th bits belong to the unit code (such as ZW means middle guard), the 7 th and 8 th application years (such as 18 means 2018 year project), the 9 th and 10 th bits are any 0-9 digits, and the 11 th and 12 th bits are any characters or digits (specifically according to the designation specification of Q/GDW 1934 + 2016 for WBS architecture coding specification of national network 29 project).
Consistency rules: 1. the shipping date is beyond the date of the factory (30 days to 5 x 365 days). 2. Whether a rural network matches a regional characteristic ('downtown', 'county and downtown', 'downtown' does not match a rural network, 'rural', 'town', and 'rural' match a rural network). 3. No-load loss (W) is less than or equal to load loss (W)) or 7 multiplied by no-load loss (W) > load loss (W). 4. The rated capacity does not match the model. 5. And (4) judging whether the model of the equipment with the H is consistent with the amorphous transformation or not when the equipment with the H model is the amorphous transformation. 6. The factory date is earlier than the registration date. 7. The short-circuit loss and the empty load loss range are abnormal.
The above-mentioned checking rules are repeatedly discussed and concluded by power industry practitioners according to "equipment (asset) operation and maintenance lean management system filling specifications (distribution sub-book)", "national network Ningxia electric power company distribution network basic data quality improvement management annual special activity working scheme", "data quality checking attached table", and some installation design specifications of electric power equipment.
Before determining the corresponding check rule encapsulated in the rule base based on the device type in the ledger data sheet, the method further includes: and selecting the equipment type contained in the standing account data table, and determining that the equipment type in the standing account data table is consistent with the equipment type in the rule base. And selecting the equipment type to be checked, and loading the equipment ledger data table of the foreground of the PMS corresponding to the selected equipment type. And selecting a path for storing the transaction data table, wherein the file name can be automatically generated without inputting an Excel file name.
And carrying out transaction screening on the examination fields in the standing book data table according to the corresponding checking rules, wherein the transaction screening comprises the following steps: and screening the values under the evaluation fields of each piece of standing book data in the standing book data table one by one according to the check rules in the rule base to obtain abnormal data which do not meet the check rules. And screening the account book data in the form of tables one by one according to the checking rules, and recording the transaction data which do not meet the checking rules one by one.
Record that the abnormal data after screening the abnormal respectively corresponds in the standing book data sheet, include: and respectively recording each abnormal data at the extreme ends of all the assessment fields of the standing book data, or recording each abnormal data after classifying according to rule types at the extreme ends of all the assessment fields of the standing book data. If the abnormal data exists in a certain piece of data, all abnormal data in the piece of data are positioned at the tail end of the piece of data, and finally, the generated table is stored in the path starting to be stored. For example, the transaction data after a certain account book data is that the ground resistance (Ω) is empty, the project number is wrong, and the like. Or after classifying according to the type of the transaction data, recording that, for example, the first part in the whole table is all integrity errors of the equipment ledger data, and after integrating the data, finally writing all the transaction data as data integrity errors and attaching transaction reasons, for example, the power supply area is empty and the project number is empty. The second part is the accuracy error of the equipment standing book data, and the third part is the consistency error, so if three types of errors occur in the equipment standing book data, the errors occur three times in the table, and the mode of classifying and displaying the abnormal data is adopted. The first is to display all errors of the machine account data of a certain piece of equipment by taking the equipment as a main part, and the second is to display the abnormal data according to the category after classifying the abnormal data.
The types of equipment that can now be checked include distribution transformers, pole-mounted transformers, in-station circuit breakers, pole-mounted load switches, pole-mounted disconnectors, pole-mounted drop-out fuses, switching stations, distribution rooms, ring main units, cable branch boxes, box substations, towers, hardware fittings, lines, wires, and cables. Each type of device has different verification rules and in general it is necessary to satisfy the integrity, accuracy and compliance rules.
The following describes in detail the detailed steps of the PMS distribution network device data quality checking method in the embodiment of the present invention.
The PMS distribution network equipment data quality checking tool comprises an interface library, a rule library and a function integration library, and is subjected to modular processing, so that rules of various equipment types can be adjusted and modified conveniently. The tool interface is displayed by calling the interface library function, all the check rules are packaged in the rule library, and the function integration library integrates all the rules into one, so that the adjustment and the function addition are facilitated. Therefore, when interfaces, rules and functions are added and adjusted, mutual interference can be achieved, rules of more types of equipment account data can be added conveniently, adjustment and modification of the rules are facilitated, and functions of checking transaction data, such as summary and statistical functions of the transaction data, can be added conveniently.
The data checking method for the PMS distribution network equipment comprises the following steps:
step 1: selecting the type of equipment to be checked;
step 2: loading a corresponding equipment ledger data table, wherein the table name has no requirement;
and step 3: selecting a path to be saved in the transaction data table;
and 4, step 4: selecting a classification mode after data processing, and selecting' bundling screening equipment data quality variation
"if, according to the corresponding check rule in the rule base, the abnormal data of all the devices are written into each piece of data in a unified way, and then classification processing is not carried out; if 'data quality variation of the dispersive screening equipment' is selected, the variation data of all the equipment is classified according to the variation reasons and displayed after each piece of data according to the corresponding check rule in the rule base, for example, the variation data which do not accord with the integrity rule are divided into one group, the variation data which do not accord with the accuracy rule are divided into one group, and the variation data which do not accord with the consistency rule are divided into one group.
The first three steps are out of order, but any step cannot be omitted, and finally the transaction data processing result is presented.
The checking rules of the machine account data of the partial type device PMS in table 1 are obtained by many researches of those skilled in the art, and can timely find out and summarize transaction data in the machine account data.
Table 1: checking rule table of PMS (permanent magnet synchronous machine) ledger data of partial type equipment
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is intended to include such modifications and variations.
Claims (8)
1. A data quality checking method for PMS distribution network equipment of a power management system is characterized by comprising the following steps: and loading a machine account data table in the PMS, determining a corresponding check rule packaged in a rule base based on the equipment type in the machine account data table, carrying out transaction screening on the value of the examination field in the machine account data table according to the corresponding check rule, and respectively and correspondingly recording transaction data after the transaction screening in the machine account data table.
2. The method for checking data quality of a PMS network device according to claim 1, wherein after loading a ledger data table in the PMS, a path for storing transaction data is selected before determining a corresponding check rule encapsulated in a rule base based on a device type in the ledger data table.
3. The PMS distribution network equipment data quality inspection method of claim 1, wherein said ledger data table includes a plurality of ledger data, each ledger data including an equipment type and an assessment field.
4. The method for checking the data quality of the PMS distribution network equipment according to claim 1, wherein the checking rules in the rule base include an equipment type, assessment fields corresponding to the equipment type, an integrity rule, an accuracy rule and a consistency rule, wherein the integrity rule is used for checking that all the assessment fields in the ledger data sheet are not empty, the accuracy rule is used for defining a threshold range of the assessment fields, and the consistency rule is used for defining business logic errors between the assessment fields.
5. The PMS distribution network device data quality inspection method of claim 3, wherein before determining the corresponding inspection rule encapsulated in the rule base based on the device type in the ledger data table, further comprising: and selecting the equipment type contained in the standing book data table, and determining that the equipment type in the standing book data table is consistent with the equipment type in the rule base.
6. The method for checking the data quality of the PMS distribution network equipment according to claim 5, wherein the checking fields in the ledger data sheet are screened for transaction according to the corresponding checking rules, comprising: and screening the values under the evaluation fields of each piece of standing book data in the standing book data table one by one according to the checking rules in the rule base to obtain abnormal data which do not meet the checking rules.
7. The PMS distribution network equipment data quality inspection method of claim 6, wherein the recording of the transaction data after the transaction screening in the ledger data sheet respectively corresponds to comprises: and respectively recording each abnormal data at the extreme ends of all the assessment fields of the standing book data, or recording each abnormal data after classifying according to rule types at the extreme ends of all the assessment fields of the standing book data. .
8. The PMS distribution network equipment data quality inspection method of claim 4, wherein the equipment types include distribution transformers, pole-mounted transformers, in-station circuit breakers, pole-mounted load switches, pole-mounted disconnectors, pole-mounted drop-out fuses, switchgears, distribution rooms, ring main units, cable breakout boxes, box substations, towers, fittings, lines, wires, and cables.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111984638A (en) * | 2020-07-10 | 2020-11-24 | 广州汇通国信科技有限公司 | Distribution transformer heavy overload data management method based on BP neural network algorithm |
| CN113657626A (en) * | 2021-08-17 | 2021-11-16 | 广东电网有限责任公司东莞供电局 | Distribution network power failure maintenance data checking method and device, electronic equipment and storage medium |
| CN113781000A (en) * | 2021-09-18 | 2021-12-10 | 深圳供电局有限公司 | Intelligent data checking power management system and management method |
| CN113792033A (en) * | 2021-08-12 | 2021-12-14 | 北京中交兴路信息科技有限公司 | Spark-based data quality checking method and device, storage medium and terminal |
| CN116775951A (en) * | 2023-08-16 | 2023-09-19 | 深圳江行联加智能科技有限公司 | Novel data safety storage method, device and equipment of power system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103942726A (en) * | 2014-03-26 | 2014-07-23 | 国家电网公司 | Intelligent inspection method for condition evaluation work of power grid equipment |
| CN105678646A (en) * | 2016-03-24 | 2016-06-15 | 国网辽宁省电力有限公司电力科学研究院 | Production management system distribution network equipment machine account intelligent inspection system |
| CN106447172A (en) * | 2016-08-31 | 2017-02-22 | 国网安徽省电力公司亳州供电公司 | PMS account-based data check method and system |
| WO2017107853A1 (en) * | 2015-12-25 | 2017-06-29 | 阿里巴巴集团控股有限公司 | Data monitoring management method, and data monitoring method and system |
| CN108268997A (en) * | 2017-11-23 | 2018-07-10 | 国网陕西省电力公司经济技术研究院 | A kind of electricity grid substation quality of data wire examination method |
| CN110008254A (en) * | 2019-04-02 | 2019-07-12 | 云南电网有限责任公司电力科学研究院 | A kind of transformer equipment account verification processing method |
-
2019
- 2019-12-26 CN CN201911364307.9A patent/CN111221956A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103942726A (en) * | 2014-03-26 | 2014-07-23 | 国家电网公司 | Intelligent inspection method for condition evaluation work of power grid equipment |
| WO2017107853A1 (en) * | 2015-12-25 | 2017-06-29 | 阿里巴巴集团控股有限公司 | Data monitoring management method, and data monitoring method and system |
| CN105678646A (en) * | 2016-03-24 | 2016-06-15 | 国网辽宁省电力有限公司电力科学研究院 | Production management system distribution network equipment machine account intelligent inspection system |
| CN106447172A (en) * | 2016-08-31 | 2017-02-22 | 国网安徽省电力公司亳州供电公司 | PMS account-based data check method and system |
| CN108268997A (en) * | 2017-11-23 | 2018-07-10 | 国网陕西省电力公司经济技术研究院 | A kind of electricity grid substation quality of data wire examination method |
| CN110008254A (en) * | 2019-04-02 | 2019-07-12 | 云南电网有限责任公司电力科学研究院 | A kind of transformer equipment account verification processing method |
Non-Patent Citations (1)
| Title |
|---|
| 王洪哲等: "基于电力设备的监控业务一体化管理方法", 《东北电力技术》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111984638A (en) * | 2020-07-10 | 2020-11-24 | 广州汇通国信科技有限公司 | Distribution transformer heavy overload data management method based on BP neural network algorithm |
| CN113792033A (en) * | 2021-08-12 | 2021-12-14 | 北京中交兴路信息科技有限公司 | Spark-based data quality checking method and device, storage medium and terminal |
| CN113657626A (en) * | 2021-08-17 | 2021-11-16 | 广东电网有限责任公司东莞供电局 | Distribution network power failure maintenance data checking method and device, electronic equipment and storage medium |
| CN113657626B (en) * | 2021-08-17 | 2024-06-25 | 广东电网有限责任公司东莞供电局 | Distribution network power outage overhaul data checking method and device, electronic equipment and storage medium |
| CN113781000A (en) * | 2021-09-18 | 2021-12-10 | 深圳供电局有限公司 | Intelligent data checking power management system and management method |
| CN116775951A (en) * | 2023-08-16 | 2023-09-19 | 深圳江行联加智能科技有限公司 | Novel data safety storage method, device and equipment of power system |
| CN116775951B (en) * | 2023-08-16 | 2023-11-14 | 深圳江行联加智能科技有限公司 | Novel data safety storage method, device and equipment of power system |
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