CN111858646A - Method and system for checking quality data format of electric energy meter - Google Patents
Method and system for checking quality data format of electric energy meter Download PDFInfo
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Abstract
The invention discloses a method and a system for checking quality data formats of electric energy meters. Based on the database layer, the invention verifies and compares whether the related data meets the requirements or not according to the established rule standard through the SQL script so as to improve the integrity and the accuracy of the quality data of the electric energy meter, and the method comprises the following steps: data volume checking, non-empty field checking, standard code checking, data duplication problem checking and data type checking. The invention carries out omnibearing and multi-angle verification and verification on the intelligent electric energy meter quality related data measured by a production enterprise based on multi-angle electric energy meter quality data format verification, and provides more complete and accurate data support for the functional data services of panoramic quality monitoring, quality analysis and early warning, whole-process quality evaluation, remote monitoring and the like.
Description
Technical Field
The invention relates to the field of electric energy meter quality in the electric power metering industry, in particular to a method and a system for checking an electric energy meter quality data format.
Background
With the integration and application of information communication new technologies such as 'cloud moving intelligence' and the like and metering technologies, the influence and image of electric power metering are improved on the basis of data resource services of an intelligent electric energy meter and a power utilization information acquisition system, the quality strong network and high-quality development of a company are better served, and a modern service system of the company centering on customers is comprehensively supported. As a key construction task of a national energy metering center (electric power), a power industry national quality foundation (NQI) service cloud platform is set up, data statistical analysis support is provided for government decision and quality supervision, and data analysis application service is provided for enterprise quality improvement.
Facing a plurality of metering equipment manufacturing enterprises, power companies, regulatory agencies and the public, the cloud platform for the national quality foundation (NQI) service of the power industry is used. The quality service ecological circle of the intelligent measurement and metering equipment of the ubiquitous power internet of things is formed for better supporting the development of application scenes of a production party (production enterprise), a using party (power company), a service party (public) and a supervision party (supervision organization) of the intelligent measurement and upstream and downstream industrial chain metering equipment, and for better meeting the task requirements of a national market supervision and management bureau and a national network company, the urgent need for building the quality data service infrastructure capacity of the metering equipment is to provide more complete, accurate and uniform quality data of the electric energy meter, which is a key problem to be solved by the power metering industry.
Disclosure of Invention
The invention aims to provide a method and a system for checking the quality data format of an electric energy meter, which are used for checking the quality data format of the electric energy meter based on multi-angle, carrying out all-around multi-angle verification and check on the intelligent electric energy meter quality related data measured by a production enterprise and providing more complete and accurate data support for the functional data services such as panoramic quality monitoring, quality analysis and early warning, whole-process quality evaluation, remote monitoring and the like.
Therefore, the technical scheme adopted by the invention is as follows: a method for checking the quality data format of an electric energy meter is based on a database layer, whether related data meet requirements or not is verified and compared through an SQL script according to a formulated rule standard, so that the completeness and the accuracy of the quality data of the electric energy meter are improved, and the method comprises the following steps:
step one, data quantity checking: checking and counting the data volume of each accessed table;
step two, checking non-empty fields: verifying whether each necessary field of the table with data has content;
step three, standard code checking: verifying whether the standard code value is correct by comparing with a code table;
step four, checking data repetition problems: comparing all data in the table according to a certain field or a certain row of records to inquire whether repeated data exist in the existing data table or not;
and step five, checking the data type: some special types of fields are checked against the standard data format.
Further, in the second step, when the table with data is a product information table, according to the code grouping of the production enterprises, all the fields defined in the data model which are not empty are inquired, including the product code, the enterprise code, the product model, the product name, the product category, the product design basis and the notification number, if any column is empty, the statistical value is added by 1, and if the statistical value of the enterprise number is larger than zero, the data is unqualified.
Further, in the fourth step, when the table with data is a product information table, firstly, according to the product code grouping, inquiring the minimum value of the primary key field defined in the data model; and then according to the enterprise code grouping, inquiring whether the main key field is not equal to the minimum value, adding 1 to the statistical value, and if the inquiry result is that the statistical value of the enterprise number is greater than zero, determining that the data is unqualified.
Further, in step five, the specific type fields are a date type field and a time type field.
The other technical scheme adopted by the invention is as follows: an electric energy meter quality data format checking system, comprising:
data amount checking unit: checking and counting the data volume of each accessed table;
non-empty field checking unit: verifying whether each necessary field of the table with data has content;
standard code checking unit: verifying whether the standard code value is correct by comparing with a code table;
data duplication problem checking unit: comparing all data in the table according to a certain field or a certain row of records to inquire whether repeated data exist in the existing data table or not;
data type checking unit: some special types of fields are checked against the standard data format.
Further, in the non-empty field checking unit, when the table with data is a product information table, all non-empty fields defined in the data model are inquired according to production enterprise code groups, wherein the non-empty fields include product codes, enterprise codes, product models, product names, product categories, product design bases and notification numbers, if any column is empty, the statistical value is increased by 1, and if the statistical value of the enterprise number is greater than zero, the data is unqualified.
Further, in the data duplication problem checking unit, when the table with data is a product information table, firstly, according to product code grouping, inquiring the minimum value of a primary key field defined in a data model; and then according to the enterprise code grouping, inquiring whether the main key field is not equal to the minimum value, adding 1 to the statistical value, and if the inquiry result is that the statistical value of the enterprise number is greater than zero, determining that the data is unqualified.
Further, in the data type checking unit, the specific type fields are a date type field and a time type field.
The invention has the following advantages:
1. the integrity and the accuracy of the data are greatly improved by checking the quality data format of the electric energy meter.
2. The whole checking process only needs a small amount of manual participation, and a large amount of human resources are saved.
3. The SQL script is executed by the computer in the checking process, so that the checking result is more scientific.
The invention carries out omnibearing and multi-angle verification and verification on the intelligent electric energy meter quality related data measured by a production enterprise based on multi-angle electric energy meter quality data format verification, and provides more complete and accurate data support for the functional data services of panoramic quality monitoring, quality analysis and early warning, whole-process quality evaluation, remote monitoring and the like.
Detailed Description
Example 1
The invention provides a method for checking quality data format of an electric energy meter, which is based on a database layer, verifies and compares whether related data meets requirements according to established rule standards through an SQL script so as to improve the integrity and accuracy of the quality data of the electric energy meter, and comprises the following steps:
step one, data quantity checking: checking and counting the data volume of each accessed table;
step two, checking non-empty fields: verifying whether each necessary field of the table with data has content;
step three, standard code checking: verifying whether the standard code value is correct by comparing with a code table;
Step four, checking data repetition problems: comparing all data in the table according to a certain field or a certain row of records to inquire whether repeated data exist in the existing data table or not;
and step five, checking the data type: some special types of fields are checked against the standard data format.
In the second step, when the table with data is a product information table, all non-empty fields defined in the data model are inquired according to the code groups of the production enterprises, wherein the fields comprise product codes, enterprise codes, product models, product names, product types, product design bases and notification numbers, if any column is empty, the statistical value is increased by 1, and if the statistical value of the enterprise number is greater than zero, the data is unqualified.
In the fourth step, when the table with data is a product information table, firstly, the minimum value of the primary key field defined in the data model is inquired according to the product code grouping; and then according to the enterprise code grouping, inquiring whether the main key field is not equal to the minimum value, adding 1 to the statistical value, and if the inquiry result is that the statistical value of the enterprise number is greater than zero, determining that the data is unqualified.
In the fifth step, some special type fields are date type fields and time type fields.
The specific process of the invention is as follows:
1. when the data of the product information table is received, whether the content exists in each necessary field is verified.
2. When the data of the product detailed information table is received,
21. whether each mandatory field has content is verified;
22. and verifying whether corresponding data exist in the product information table according to the product code.
3. When the relevant data of the product detection report table is received,
31. whether each mandatory field has content is verified;
32. verifying whether corresponding data exist in the product information table according to the product code;
33. and if the product detailed code exists in the related data, verifying whether the corresponding data exists in the product detailed information table according to the product detailed code.
4. When the relevant data of the product component list table is received,
41. whether each mandatory field has content is verified;
42. verifying whether corresponding data exist in the product information table according to the product code;
43. verifying whether corresponding data exist in a product detailed information table according to the product detailed information code;
44. verifying whether corresponding data exist in a research and development scheme information table according to the research and development scheme number;
45. And verifying whether corresponding data exist in the component information table according to the component number.
5. When the relevant data of the environmental temperature and humidity detection table is received,
51. whether each mandatory field has content is verified;
52. and (4) verifying whether corresponding data exist in the production process table according to the production process.
6. When the related data of the electric energy meter asset information table is received,
61. whether each mandatory field has content is verified;
62. and (5) verifying whether corresponding data exist in the production schedule according to the plan order number.
7. When the relevant data of the module optical detection table is received,
71. whether each mandatory field has content is verified;
72. and verifying whether corresponding data exist in the electric energy meter PCB number and the in-plant code binding table according to the PCB number.
8. When the relevant data of the single board detection table is received,
81. whether each mandatory field has content is verified;
82. and verifying whether corresponding data exist in the electric energy meter PCB number and the in-plant code binding table according to the PCB number.
9. When the relevant data of the module aging detection table is received,
91. whether each mandatory field has content is verified;
92. and verifying whether corresponding data exist in the electric energy meter PCB number and the in-plant code binding table according to the PCB number.
10. When the relevant data of the whole machine aging detection table is received,
101. whether each mandatory field has content is verified;
102. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
11. When the relevant data of the appearance detection table is received,
111. whether each mandatory field has content is verified;
112. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
12. When the relevant data of the AC withstand voltage test table is received,
121. whether each mandatory field has content is verified;
122. verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number;
13. upon receiving the data associated with the "start test table",
131. whether each mandatory field has content is verified;
132. verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number;
14. when the relevant data of the electric energy meter constant test meter is received,
141. whether each mandatory field has content is verified;
142. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
15. When the related data of the combined error table of the total electric energy indication value of the counter is received,
151. Whether each mandatory field has content is verified;
152. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
16. When the relevant data of the daily timing error table is received,
161. whether each mandatory field has content is verified;
162. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
17. When the relevant data of the starting period switching error table is received,
171. whether each mandatory field has content is verified;
172. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
18. When the relevant data of the function detection table is received,
181. whether each mandatory field has content is verified;
182. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
19. When the relevant data of the fee control test table is received,
191. whether each mandatory field has content is verified;
192. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
20. When the relevant data of the electronic tag detection table is received,
201. whether each mandatory field has content is verified;
202. And verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
21. When the relevant data of the protocol consistency check table is received,
211. whether each mandatory field has content is verified;
212. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
22. When the relevant data of the error consistency test table is received,
221. whether each mandatory field has content is verified;
222. and verifying whether corresponding data exist in the electric energy meter asset information table according to the in-plant number.
By checking A, B the related business data of the research and development links of two production enterprises, the data volume of the product information table is found: enterprise a has 8 pieces of data, enterprise B has 85 pieces of data; non-empty field problem: 2 no enterprises exist; standard code problem: the product category "8" of enterprise a is not in the code table, and the product category "76" of enterprise B is not in the code table; data duplication problem: no 2 enterprises exist. Data volume of "product detail information table": enterprise a has 10 pieces of data, enterprise B has 76 pieces of data; non-empty field problem: the 'research and development scheme number' of the enterprise A is that 3 pieces of data exist in the absence, and the enterprise B does not have the problem data; standard code problem: 2 enterprises have no data with the problems; data duplication problem: no duplicate data was found in 2 enterprises.
Example 2
The embodiment provides an electric energy meter quality data format checking system, which includes:
data amount checking unit: checking and counting the data volume of each accessed table;
non-empty field checking unit: verifying whether each necessary field of the table with data has content;
standard code checking unit: verifying whether the standard code value is correct by comparing with a code table;
data duplication problem checking unit: comparing all data in the table according to a certain field or a certain row of records to inquire whether repeated data exist in the existing data table or not;
data type checking unit: some special types of fields are checked against the standard data format.
In the non-empty field checking unit, when the table with data is a product information table, all non-empty fields defined in the data model are inquired according to coding groups of production enterprises, wherein the non-empty fields comprise product codes, enterprise codes, product models, product names, product types, product design bases and notification numbers, if any one of the fields is empty, the statistical value is added by 1, and if the statistical value of the serial number of the enterprise is larger than zero, the data is unqualified.
In the data repetition problem checking unit, when the table with data is a product information table, firstly, the minimum value of a primary key field defined in a data model is inquired according to product coding groups; and then according to the enterprise code grouping, inquiring whether the main key field is not equal to the minimum value, adding 1 to the statistical value, and if the inquiry result is that the statistical value of the enterprise number is greater than zero, determining that the data is unqualified.
In the data type checking unit, the special type fields are a date type field and a time type field.
Claims (8)
1. A method for checking quality data format of an electric energy meter is characterized in that whether related data meet requirements or not is verified and compared through an SQL script according to a formulated rule standard based on a database layer so as to improve the integrity and accuracy of the quality data of the electric energy meter, and comprises the following steps:
step one, data quantity checking: checking and counting the data volume of each accessed table;
step two, checking non-empty fields: verifying whether each necessary field of the table with data has content;
step three, standard code checking: verifying whether the standard code value is correct by comparing with a code table;
step four, checking data repetition problems: comparing all data in the table according to a certain field or a certain row of records to inquire whether repeated data exist in the existing data table or not;
and step five, checking the data type: some special types of fields are checked against the standard data format.
2. The method for checking the quality data format of the electric energy meter according to claim 1, wherein in the second step, when the table with data is a product information table, all non-empty fields defined in the data model are inquired according to production enterprise code groups, wherein the non-empty fields include product codes, enterprise codes, product models, product names, product types, product design bases and notification numbers, if any column is empty, the statistical value is increased by 1, and if the statistical value of the enterprise number is greater than zero, the data is unqualified.
3. The method for checking the quality data format of the electric energy meter according to the claim 2, characterized in that in the fourth step, when the table with data is a product information table, firstly, the minimum value of the primary key field defined in the data model is inquired according to the product code grouping; and then according to the enterprise code grouping, inquiring whether the main key field is not equal to the minimum value, adding 1 to the statistical value, and if the inquiry result is that the statistical value of the enterprise number is greater than zero, determining that the data is unqualified.
4. The method as claimed in claim 1, wherein in step five, the specific fields are a date type field and a time type field.
5. An electric energy meter quality data format checking system is characterized by comprising:
data amount checking unit: checking and counting the data volume of each accessed table;
non-empty field checking unit: verifying whether each necessary field of the table with data has content;
standard code checking unit: verifying whether the standard code value is correct by comparing with a code table;
data duplication problem checking unit: comparing all data in the table according to a certain field or a certain row of records to inquire whether repeated data exist in the existing data table or not;
Data type checking unit: some special types of fields are checked against the standard data format.
6. The system for checking the quality data format of the electric energy meter according to claim 5, wherein in the non-empty field checking unit, when the table with data is a product information table, all the fields defined in the data model as being non-empty are inquired according to coding groups of production enterprises, including product codes, enterprise codes, product models, product names, product categories, product design bases and notification numbers, if any column is empty, the statistical value is added by 1, and if the statistical value of the enterprise number is greater than zero, the data is unqualified.
7. The system for checking the quality data format of an electric energy meter according to claim 5, wherein in the data duplication problem checking unit, when the table with data is a product information table, the minimum value of the primary key field defined in the data model is firstly inquired according to product code grouping; and then according to the enterprise code grouping, inquiring whether the main key field is not equal to the minimum value, adding 1 to the statistical value, and if the inquiry result is that the statistical value of the enterprise number is greater than zero, determining that the data is unqualified.
8. The system as claimed in claim 5, wherein the data type checking unit is configured to check the data type of the electric energy meter by using a date type field and a time type field.
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| CN112417841B (en) * | 2020-11-20 | 2023-09-05 | 浪潮卓数大数据产业发展有限公司 | Data verification 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 |
| CN117078192A (en) * | 2023-08-18 | 2023-11-17 | 索罗曼(广州)新材料有限公司 | Titanium flat bar manufacturing tool mold management system and method |
| CN117591508A (en) * | 2024-01-19 | 2024-02-23 | 云筑信息科技(成都)有限公司 | Data quality guarantee method under big data scene |
| CN117591508B (en) * | 2024-01-19 | 2024-05-28 | 云筑信息科技(成都)有限公司 | Data quality guarantee method under big data scene |
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