CN114706845B - Ammeter data checking method and system - Google Patents
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Abstract
The invention discloses an ammeter data checking method and system, belonging to the technical field of electric power systems, wherein the method comprises the following steps: obtaining pre-calculated secondary calculation electric quantity data and a corresponding time tag from the analysis data database; judging whether the recalculated secondary calculated electric quantity data is consistent with the pre-calculated secondary calculated electric quantity data, and judging that the pre-calculated secondary calculated electric quantity data has no problem when the recalculated secondary calculated electric quantity data is consistent with the pre-calculated secondary calculated electric quantity data; and when the difference is not consistent, updating the pre-calculated secondary calculated electric quantity data corresponding to the current time tag through the original data database and the energy efficiency analysis unit, storing the pre-calculated secondary calculated electric quantity data in the analysis data database, and executing the step of checking the entity table data again. The system comprises a presetting module, an entity table analysis data acquisition module, an entity table data investigation module and an entity table data judgment module. The ammeter data checking method and the ammeter data checking system solve the problems that an existing checking mode is low in processing efficiency and wastes human resources.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to an ammeter data checking method and system.
Background
The ammeter is used for recording the electricity utilization condition of a user, so that two conditions usually exist in the abnormal electricity data, the first condition is caused by the equipment faults of the ammeter, such as wiring faults, collection equipment faults or transmission equipment faults, and the second condition is data transmission blockage. If the first condition is, the problem can be solved only after the staff goes to the site for investigation, and if the second condition is, the problem can be solved by acquiring the data again without the staff going to the site. However, when the electric quantity data recorded by the electric meter is found to be abnormal, in the existing mode, no matter the first condition or the second condition exists, a worker is sent to the site, and if the electric quantity data is abnormal due to the second condition, the processing efficiency is reduced, and human resources are wasted.
Disclosure of Invention
In view of the above defects, an object of the present invention is to provide an electricity meter data checking method, which solves the problems of low processing efficiency and waste of human resources of the existing checking method.
In view of the above drawbacks, another objective of the present invention is to provide an electricity meter data checking system, which solves the problems of low processing efficiency and waste of human resources of the existing checking system.
In order to achieve the purpose, the invention adopts the following technical scheme: an electricity meter data checking method comprises the following steps:
presetting: setting an original data database, an energy efficiency analysis unit and an analysis data database;
and (3) acquiring entity table analysis data: obtaining pre-calculated secondary calculation electric quantity data and a corresponding time tag from the analysis data database; the energy efficiency analysis unit obtains the number of the meter bases from the original data database, calculates the number of the meter bases to obtain pre-calculated secondary calculated electric quantity data and stores the pre-calculated secondary calculated electric quantity data in the analysis data database, and obtains the time tag according to the acquisition time after obtaining the acquisition time from the original data database and stores the time tag in the analysis data database;
and (3) checking entity table data: the energy efficiency analysis unit acquires the corresponding meter base number of the time label corresponding to the pre-calculated secondary calculation electric quantity data from the original data database, calculates the recalculated secondary calculation electric quantity data according to the meter base number, and judges whether the recalculated secondary calculation electric quantity data is consistent with the pre-calculated secondary calculation electric quantity data;
and (3) judging entity table data: when the recalculated secondary calculated electric quantity data is consistent with the pre-calculated secondary calculated electric quantity data, judging that the pre-calculated secondary calculated electric quantity data has no problem; and when the recalculated secondary calculated electric quantity data is inconsistent with the pre-calculated secondary calculated electric quantity data, updating the pre-calculated secondary calculated electric quantity data corresponding to the current time tag through the original data database and the energy efficiency analysis unit, storing the pre-calculated secondary calculated electric quantity data in the analysis data database, and executing the step of checking the entity table data again.
It is worth to be noted that a data additional recording step is further included between the entity table analysis data acquisition step and the entity table data investigation step;
the data additional recording step comprises the following steps: judging whether the table bottom number stored in the original data database is missing or not; when the table bottom number stored in the original data database is missing, the original data database carries out additional recording on the table bottom number through an entity table, and then the step of checking the entity table data is executed; and when the table bottom number stored in the original data database is not missing, executing a step of checking the entity table data.
Specifically, the method further comprises a virtual table analysis data acquisition step and a virtual table data checking step;
the virtual table analysis data acquisition step comprises: obtaining virtual pre-calculation secondary calculation electric quantity data and corresponding time labels from the analysis data database, wherein the total number of the meter bases of a plurality of entity tables at the same time in the original data database is obtained through summation, and the energy efficiency analysis unit obtains the virtual re-calculation secondary calculation electric quantity data through calculation according to the total number of the meter bases after obtaining the total number of the meter bases from the original data database and stores the virtual re-calculation secondary calculation electric quantity data in the analysis data database;
the virtual table data checking step comprises: judging whether the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data; when the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data, selecting an entity table corresponding to the table base number forming the total table base number to execute an entity table analysis data acquisition step, a data supplement step, an entity table data investigation step and an entity table data judgment step; and when the virtual recalculation secondary calculation electric quantity data is inconsistent with the virtual precomputation secondary calculation electric quantity data, updating the virtual precomputation secondary calculation electric quantity data corresponding to the current time tag through the original data database and the energy efficiency analysis unit, storing the data in the analysis data database, and then executing the virtual table data checking step again.
Preferably, the number of bases in the original data database in the entity table data analysis step is the number of bases of the electric meters uploaded by the entity table at each moment; the pre-calculated secondary calculation electric quantity data comprises entity moment electric quantity data, entity hour electric quantity data and entity day electric quantity data, wherein the entity moment electric quantity data is a difference value of original data uploaded by an entity table obtained by storing the difference value in an analysis data database for two consecutive quarter minutes, the entity hour electric quantity data is the sum of 4 continuous entity moment electric quantity data, and the entity day electric quantity data is the sum of 24 continuous entity hour electric quantity data;
the recalculation secondary calculation electric quantity data in the entity table data checking step comprise recalculation time electric quantity data, recalculation hour electric quantity data and recalculation day electric quantity data, wherein the recalculation time electric quantity data are difference values of original data uploaded by entity tables obtained by continuously storing the original data in an original data database for two quarter minutes, the recalculation hour electric quantity data are the sum of continuous 4 recalculation time electric quantity data, and the recalculation day electric quantity data are the sum of continuous 24 recalculation hour electric quantity data.
It is worth to be noted that, before the entity table data checking step, the method further comprises an electricity price configuration checking step:
detecting whether each day in a time period needing analysis is configured with electricity prices and whether a peak valley electricity utilization time period configured with the electricity prices in each day covers 24 hours; when the time period with the power price missing appears, displaying the date corresponding to the time period with the power price missing; when a peak flat valley electricity utilization period with missing electricity prices occurs, the peak flat valley electricity utilization period is displayed.
An electricity meter data troubleshooting system comprising:
a presetting module: the system comprises a data processing unit, a data analysis unit and a data analysis unit, wherein the data processing unit is used for setting an original data database, an energy efficiency analysis unit and an analysis data database;
entity table analysis data acquisition module: the system is used for obtaining pre-calculated secondary calculation electric quantity data and a corresponding time tag from the analysis data database; the energy efficiency analysis unit obtains the number of the meter bases from the original data database, calculates the number of the meter bases to obtain pre-calculated secondary calculated electric quantity data and stores the pre-calculated secondary calculated electric quantity data in the analysis data database, and obtains the time tag according to the acquisition time after obtaining the acquisition time from the original data database and stores the time tag in the analysis data database;
the entity table data checking module: the energy efficiency analysis unit is used for obtaining the corresponding meter base number of the time label corresponding to the pre-calculated secondary calculation electric quantity data from the original data database, calculating according to the meter base number to obtain the re-calculated secondary calculation electric quantity data, and judging whether the re-calculated secondary calculation electric quantity data is consistent with the pre-calculated secondary calculation electric quantity data or not;
entity table data judgment module: the device is used for judging that the pre-calculated secondary calculated electric quantity data has no problem when the re-calculated secondary calculated electric quantity data is consistent with the pre-calculated secondary calculated electric quantity data; and the entity table data investigation module is used for updating the pre-calculated secondary calculation electric quantity data corresponding to the current time tag through the original data database and the energy efficiency analysis unit and storing the pre-calculated secondary calculation electric quantity data in the analysis data database when the re-calculated secondary calculation electric quantity data is inconsistent with the pre-calculated secondary calculation electric quantity data, and executing the entity table data investigation module again.
Specifically, the system also comprises a data additional recording module;
the data additional recording module is used for judging whether the number of the table bottoms stored in the original data database is missing or not; the system comprises a data base database, an entity table data searching module, a data base searching module and a data base searching module, wherein the data base searching module is used for searching entity table data; and the entity table data checking module is used for executing entity table data checking when the number of the table bases stored in the original data database is not missing.
Preferably, the system also comprises a virtual table analysis data acquisition module and a virtual table data checking module;
the virtual table analysis data acquisition module is used for acquiring virtual pre-calculation secondary calculation electric quantity data and corresponding time labels from the analysis data database, wherein the total number of the table bases of a plurality of entity tables in the original data database at the same time is obtained through summation, the energy efficiency analysis unit acquires the total number of the table bases from the original data database, calculates the virtual re-calculation secondary calculation electric quantity data according to the total number of the table bases and stores the virtual re-calculation secondary calculation electric quantity data in the analysis data database;
the virtual table data checking module is used for judging whether the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data; the entity table analysis data acquisition module, the data additional recording module, the entity table data searching module and the entity table data judgment module are used for selecting the entity table corresponding to the table base number forming the total table base number to execute the entity table analysis data when the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data; and the virtual table data investigation module is executed again after the virtual recalculation secondary calculation electric quantity data corresponding to the current time tag is updated through the original data database and the energy efficiency analysis unit and stored in the analysis data database when the virtual recalculation secondary calculation electric quantity data is inconsistent with the virtual precomputation secondary calculation electric quantity data.
It is worth to be noted that the number of the table bases in the original data database is the number of the electricity meter bases uploaded by the entity table at each clock; the pre-calculated secondary calculation electric quantity data comprise entity moment electric quantity data, entity hour electric quantity data and entity day electric quantity data, wherein the entity moment electric quantity data are the difference of original data uploaded by entity tables obtained by storing the data in an analysis data database for two consecutive quarter clocks, the entity hour electric quantity data are the sum of 4 continuous entity moment electric quantity data, and the entity day electric quantity data are the sum of 24 continuous entity hour electric quantity data;
the recalculation secondary calculation electric quantity data in the entity table data checking step comprise recalculation time electric quantity data, recalculation hour electric quantity data and recalculation day electric quantity data, wherein the recalculation time electric quantity data are difference values of original data uploaded by entity tables obtained by continuously storing the original data in an original data database for two quarter minutes, the recalculation hour electric quantity data are the sum of continuous 4 recalculation time electric quantity data, and the recalculation day electric quantity data are the sum of continuous 24 recalculation hour electric quantity data.
Preferably, the electricity price configuration checking module is further included:
the power consumption detection system is used for detecting whether each day in a time period needing analysis is configured with power prices and detecting whether a peak valley power consumption time period configured with the power prices in each day covers 24 hours; the system comprises a display module, a display module and a display module, wherein the display module is used for displaying a date corresponding to a time period with power price missing when the time period with power price missing appears; and the display unit is used for displaying the peak flat valley electricity utilization period when the peak flat valley electricity utilization period with the missing electricity price appears.
One of the above technical solutions has the following beneficial effects: in the ammeter data checking method, firstly, pre-calculated secondary calculation electric quantity data are obtained through the entity table analysis data obtaining step and serve as analyzed target data, and then through the entity table data checking step and the entity table data judging step, the reason that the electric quantity data are abnormal due to data loss caused by data transmission blockage can be checked. When the electric quantity data is abnormal, firstly executing the entity table data checking step and the entity table data judging step, and when the reason of the electric quantity data abnormality is not checked after the entity table data checking step and the entity table data judging step are executed, dispatching a worker to check whether equipment of the electric meter is in fault on site, so that the processing efficiency can be improved, and the human resources can not be wasted.
Drawings
FIG. 1 is a flow chart of a method for checking meter data according to an embodiment of the invention;
FIG. 2 is a flow chart of a method for checking meter data according to another embodiment of the present invention;
FIG. 3 is a system block diagram of a meter data auditing system in accordance with an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The following disclosure provides many different embodiments or examples for implementing different configurations of embodiments of the invention. In order to simplify the disclosure of embodiments of the invention, the components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. Furthermore, embodiments of the invention may repeat reference numerals and/or reference letters in the various examples, which have been repeated for purposes of simplicity and clarity and do not in themselves dictate a relationship between the various embodiments and/or arrangements discussed. In addition, embodiments of the present invention provide examples of various specific processes and materials, but one of ordinary skill in the art may recognize applications of other processes and/or use of other materials.
As shown in fig. 1 and 2, an electricity meter data checking method includes:
presetting: setting an original data database, an energy efficiency analysis unit, an analysis data database and an energy efficiency analysis unit;
and (3) acquiring entity table analysis data: obtaining pre-calculated secondary calculation electric quantity data and a corresponding time tag from the analysis data database; the energy efficiency analysis unit obtains the number of the meter bases from the original data database, calculates the number of the meter bases to obtain pre-calculated secondary calculated electric quantity data and stores the pre-calculated secondary calculated electric quantity data in the analysis data database, and obtains the time tag according to the acquisition time after obtaining the acquisition time from the original data database and stores the time tag in the analysis data database;
and (3) checking entity table data: the energy efficiency analysis unit acquires the corresponding meter base number of the time label corresponding to the pre-calculated secondary calculation electric quantity data from the original data database, calculates the recalculated secondary calculation electric quantity data according to the meter base number, and judges whether the recalculated secondary calculation electric quantity data is consistent with the pre-calculated secondary calculation electric quantity data;
and (3) judging entity table data: when the recalculated secondary calculated electric quantity data is consistent with the pre-calculated secondary calculated electric quantity data, judging that the pre-calculated secondary calculated electric quantity data has no problem; and when the recalculated secondary calculated electric quantity data is inconsistent with the pre-calculated secondary calculated electric quantity data, updating the pre-calculated secondary calculated electric quantity data corresponding to the current time tag through the original data database and the energy efficiency analysis unit, storing the pre-calculated secondary calculated electric quantity data in the analysis data database, and then executing the step of checking the entity table data again.
In the present invention, in order to make the data comparable, all the data used for calculation and all the acquired data are based on the number of the table bases in the same time or the same time period on the entity table. In this embodiment, the pre-calculated secondary calculated electric quantity data is target data to be analyzed. The recalculation secondary calculation electric quantity data is standard data which is taken for comparison, namely the recalculation secondary calculation electric quantity data is considered to be correct data, so that whether difference exists between the recalculation secondary calculation electric quantity data and the standard data is found out. In one embodiment, when the recalculated secondary calculated electric quantity data is inconsistent with the pre-calculated secondary calculated electric quantity data, the pre-calculated secondary calculated electric quantity data corresponding to the current time label is updated through the original data database and the energy efficiency analysis unit, and the entity table data checking step is executed again, the problem is determined as the field problem of the entity table, and then maintenance personnel can be informed to check the entity table on the field.
In the ammeter data checking method, firstly, pre-calculated secondary calculation electric quantity data is obtained through the entity table analysis data obtaining step and is used as analyzed target data, and then through the entity table data checking step and the entity table data judging step, the reason that the electric quantity data is abnormal due to data loss caused by data transmission blockage can be checked. When the electric quantity data is abnormal, the entity table data checking step and the entity table data judging step are executed firstly, and when the reason of the electric quantity data abnormality is not checked after the entity table data checking step and the entity table data judging step are executed, a worker is dispatched to the site to check whether the equipment of the electric meter is in fault or not, so that the processing efficiency can be improved, and the human resources can not be wasted.
In one embodiment, a data supplementary step is further included between the entity table analysis data acquisition step and the entity table data investigation step; the data additional recording step comprises the following steps: judging whether the table bottom number stored in the original data database is missing or not; when the table bottom number stored in the original data database is missing, the original data database carries out additional recording on the table bottom number through an entity table, and then the step of checking the entity table data is executed; and when the table bottom number stored in the original data database is not missing, executing a step of checking the entity table data.
If the table base number in the original data database is missing, the data source has errors, and the obtained result cannot be correct no matter how the subsequent entity table data checking step and the entity table data judging step are compared, so that the data supplementary recording step is executed in the entity table data checking step to ensure that the table base number stored in the original data database is correct, and the accuracy of the judgment of the entity table data checking step and the entity table data judging step is improved. The method comprises the steps that the original data database is used for supplementing and recording the number of the table bases through an entity table, the original data database sends a remote instruction to a field data gateway, the data gateway uploads locally cached historical data again and stores the locally cached historical data in the original data database in a covering mode, and the quantity of the data cached by the data gateway depends on the size of a storage of the data gateway and the quantity of collected data; when the missing phenomenon of the table bottom number stored in the original data database does not exist any more, the processing flow can be ended.
It is worth to be noted that the method also comprises a virtual table analysis data acquisition step and a virtual table data checking step;
the virtual table analysis data acquisition step comprises: obtaining virtual pre-calculation secondary calculation electric quantity data and a corresponding time tag from the analysis data database, wherein the table base numbers of a plurality of entity tables in the original data database at the same time are summed to obtain a total table base number, and the energy efficiency analysis unit obtains the virtual re-calculation secondary calculation electric quantity data from the original data database after obtaining the total table base number and calculates the virtual re-calculation secondary calculation electric quantity data according to the total table base number and stores the virtual re-calculation secondary calculation electric quantity data in the analysis data database;
the virtual table data checking step comprises: judging whether the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data; when the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data, selecting an entity table corresponding to the table base number forming the total table base number to execute an entity table analysis data acquisition step, a data supplement step, an entity table data investigation step and an entity table data judgment step; and when the virtual recalculation secondary calculation electric quantity data is inconsistent with the virtual pre-calculation secondary calculation electric quantity data, updating the virtual pre-calculation secondary calculation electric quantity data corresponding to the current time label through an original data database and an energy efficiency analysis unit, storing the data in the analysis data database, and then executing the virtual table data checking step again.
In a building or a community, only an entity table for recording the electricity consumption of each suite is needed, but a general table for recording the electricity consumption of the whole building or the whole community is not needed, a virtual table is set and a virtual table analysis data acquisition step is executed, namely, the sum of the electricity consumption recorded by all the entity tables of the building or the community is obtained, and then through the virtual table data checking step, whether the sum of the electricity consumption recorded by all the entity tables of the building or the community obtained through analyzing a data database is correct is checked, so that whether the electricity data abnormity caused by data loss due to data transmission blockage exists or not is checked.
Before the step of checking the data of the entity table and the step of checking the data of the virtual table are executed, a table selection step is executed to select whether the entity table or the virtual table is checked, and then the system checks the entity table or the virtual table according to the selection.
In some embodiments, the number of bases in the original data database in the entity table data analysis step is the number of bases of electricity meters uploaded by the entity table at each moment; the pre-calculated secondary calculation electric quantity data comprise entity moment electric quantity data, entity hour electric quantity data and entity day electric quantity data, wherein the entity moment electric quantity data are the difference of original data uploaded by entity tables obtained by storing the data in an analysis data database for two consecutive quarter clocks, the entity hour electric quantity data are the sum of 4 continuous entity moment electric quantity data, and the entity day electric quantity data are the sum of 24 continuous entity hour electric quantity data; wherein, the entity table collects the bottom number of electricity meters at the 15 th minute, the 30 th minute, the 45 th minute and the 60 th minute in each hour, so as to obtain the electricity quantity from the whole point to the 15 th minute, the electricity quantity from the 15 th minute to the 30 th minute, the electricity quantity from the 30 th minute to the 45 th minute and the electricity quantity from the 45 th minute to the 60 th minute; therefore, the entity hour electric quantity data of each hour can be obtained by subtracting the bottom number of the previous integral point from the bottom number of the electric quantity meter of each integral point, and the entity day electric quantity data of each day can be obtained by subtracting the bottom number of the electric quantity meter of the previous day from the bottom number of the electric quantity meter of the 0 point of each day.
The recalculation secondary calculation electric quantity data in the entity table data checking step comprise recalculation time electric quantity data, recalculation hour electric quantity data and recalculation day electric quantity data, wherein the recalculation time electric quantity data are difference values of original data uploaded by entity tables obtained by continuously storing the original data in an original data database for two quarter minutes, the recalculation hour electric quantity data are the sum of continuous 4 recalculation time electric quantity data, and the recalculation day electric quantity data are the sum of continuous 24 recalculation hour electric quantity data. Therefore, the recalculation moment electric quantity data can correspond to the entity moment electric quantity data, the recalculation hour electric quantity data can correspond to the entity hour electric quantity data, and the recalculation day electric quantity data can correspond to the entity day electric quantity data, so that comparison is convenient.
The virtual pre-calculated secondary calculation electric quantity data in the virtual meter analysis data acquisition step comprises first virtual moment electric quantity data, first virtual hour electric quantity data and first virtual day electric quantity data, wherein the first virtual moment electric quantity data is a difference value of total meter base numbers of two continuous first clocks stored in an analysis data database for two continuous first clocks, the first virtual hour electric quantity data is a sum of 4 continuous first virtual moment electric quantity data, and the first virtual day electric quantity data is a sum of 24 continuous first virtual hour electric quantity data; for example, the numbers of the first quarter-hour meter bases stored in the analysis data database are sequentially 100, 200, and 300, and the numbers of the second quarter-hour meter bases stored in the analysis data database are sequentially 200, 300, and 400, so that the first virtual time power data is (200 +300+ 400) - (100 +200+ 300) = 300.
The virtual recalculation secondary calculation electric quantity data comprise second virtual moment electric quantity data, second virtual hour electric quantity data and second virtual day electric quantity data, wherein the second virtual moment electric quantity data are the difference value of the total number of the bases of two continuous one-quarter clocks stored in an original data database, the second virtual hour electric quantity data are the sum of 4 continuous second virtual moment electric quantity data, and the second virtual day electric quantity data are the sum of 24 continuous second virtual hour electric quantity data. For example, the numbers of the bases uploaded by all the entity tables obtained in the first quarter clock are sequentially 100, 200, and 300, and the numbers of the bases uploaded by all the entity tables obtained in the second quarter clock are sequentially 300, 400, and 500, so that the second virtual time electric quantity data is (300 +400+ 500) - (100 +200+ 300) = 600.
Therefore, the first virtual moment electric quantity data and the second virtual moment electric quantity data can correspond to each other, the first virtual hour electric quantity data and the second virtual hour electric quantity data can correspond to each other, and the first virtual day electric quantity data and the second virtual day electric quantity data can correspond to each other, so that comparison is convenient.
Under the condition that the statistical calibers are consistent and correct, the problem that data time disorder of uploading caused by data supplement is caused when the data gateway signals are poor and a large amount of data are uploaded at the same time can be solved, the data processing logic of the system is not correctly executed according to design expectation, and the problem that the data abnormality of the electricity quantity and the electricity charge of a real entity caused by the system program is caused by the problem.
Similarly, under the condition that the statistical calibers are consistent and correct, the condition that the virtual meter data are abnormal due to the fact that the data processing logic of the system is not correctly executed according to design expectation to cause the abnormality of the entity meter data when the uploaded data are disordered due to data supplement caused by poor data gateway signals and a large amount of data are uploaded at the same time can be eliminated, and the abnormality of the virtual meter electric quantity and the electricity charge data caused by system programs is often caused by the problems.
It is worth to be noted that, before the entity table data checking step, the method further comprises an electricity price configuration checking step:
detecting whether each day in a time period needing analysis is configured with electricity prices and whether a peak valley electricity utilization time period configured with the electricity prices in each day covers 24 hours; when the time period with the power price missing appears, displaying the date corresponding to the time period with the power price missing; when a peak flat valley electricity utilization period with missing electricity prices occurs, the peak flat valley electricity utilization period is displayed.
Therefore, the electricity price configuration can be checked in the step of checking the real table data and the step of checking the virtual table data, and the condition that the results obtained in the step of checking the real table data and the step of checking the virtual table data are inaccurate due to the fact that the electricity price configuration is lost is avoided. The power department divides the power consumption time period into peak, level and valley, and the peak and valley power consumption time period combined by the four time periods of peak, level and valley is just 24 hours. When the time period of power price loss occurs, prompting that no corresponding power price configuration exists from the current day to the current day; when the peak flat valley electricity consumption time period of the electricity price loss occurs, prompting that the electricity price configuration is lacked from time of several hours to several hours every day; and if the electricity price configuration is not abnormal, entering an entity table data checking step.
Optionally, in the entity table analysis data obtaining step, a pre-calculation curve is drawn by taking the time label as a horizontal axis and the pre-calculation secondary calculation electric quantity as a vertical axis according to the pre-calculation secondary calculation electric quantity and the time label obtained by analyzing the data database; and obtaining recalculation secondary calculation electric quantity data corresponding to the time labels according to the original data database, drawing a recalculation curve by taking the time labels as a horizontal axis and the recalculation secondary calculation electric quantity data as a vertical axis, and checking whether the recalculation secondary calculation electric quantity data is consistent with the recalculation secondary calculation electric quantity data or not by comparing whether the recalculation curve is coincident with the recalculation curve or not. Since the 3 types of pre-calculated secondary calculated electric quantity (entity moment electric quantity data, entity hour electric quantity data and entity day electric quantity data) are detected to be calculated immediately when a new electric quantity base number is uploaded every 15 minutes, the problem of data abnormity possibly caused by disordered data uploading time or improper coordination of system data processing threads when a large amount of data is uploaded at the same time can exist, the same algorithm can be adopted to carry out immediate recalculation on historical data to obtain a temporary result, and specifically, a curve graph drawn on the entity moment electric quantity data, a curve graph drawn on the entity hour electric quantity data and a curve drawn on the entity day electric quantity data are detected respectively; respectively drawing a curve chart of the electric quantity data at the recalculation time, drawing a curve chart of the electric quantity data at the recalculation time and drawing a curve chart of the electric quantity data at the recalculation time, comparing the curve chart of the electric quantity data at the entity time with the curve chart of the electric quantity data at the recalculation time, comparing the curve chart of the electric quantity data at the entity hour with the curve chart of the electric quantity data at the recalculation time, and comparing the curve chart of the electric quantity data at the entity day with the curve chart of the electric quantity data at the recalculation time. Similarly, the comparison between the virtual recalculated secondary calculated electric quantity data and the virtual pre-calculated secondary calculated electric quantity data can also be performed by the above method.
In the data supplementary recording step, an original data curve graph is made according to the number of the table bases in the original data database and the acquisition time, and whether the number of the table bases uploaded by the entity table is missing or not is detected according to the original data curve graph; therefore, the position of the breakpoint can be obviously presented, the position of the breakpoint is a data missing time period, for example, the original data uploaded on the entity table at 15 hours and 45 minutes is missing, and the original data uploaded on the entity table recorded at 15 hours and 45 minutes is data of the time period from 15 hours 30 minutes to 15 hours and 45 minutes, so in the original data graph, the breakpoint occurs in the time period from 15 hours 30 minutes to 15 hours and 45 minutes because no data exists.
In some embodiments, as shown in fig. 2, a meter data checking system includes:
a presetting module: the system comprises a data processing unit, a data analysis unit and a data analysis unit, wherein the data processing unit is used for setting an original data database, an energy efficiency analysis unit and an analysis data database;
entity table analysis data acquisition module: the system is used for obtaining pre-calculated secondary calculation electric quantity data and a corresponding time tag from the analysis data database; the energy efficiency analysis unit obtains the number of the meter bases from the original data database, calculates the number of the meter bases to obtain pre-calculated secondary calculated electric quantity data and stores the pre-calculated secondary calculated electric quantity data in the analysis data database, and obtains the time tag according to the acquisition time after obtaining the acquisition time from the original data database and stores the time tag in the analysis data database;
entity table data checking module: the energy efficiency analysis unit is used for obtaining the corresponding meter base number of the time label corresponding to the pre-calculated secondary calculation electric quantity data from the original data database, calculating according to the meter base number to obtain the re-calculated secondary calculation electric quantity data, and judging whether the re-calculated secondary calculation electric quantity data is consistent with the pre-calculated secondary calculation electric quantity data or not;
the entity table data judgment module: the electric quantity data is used for judging that the pre-calculated secondary calculation electric quantity data has no problem when the re-calculated secondary calculation electric quantity data is consistent with the pre-calculated secondary calculation electric quantity data; and when the recalculated secondary calculated electric quantity data is inconsistent with the pre-calculated secondary calculated electric quantity data, updating the pre-calculated secondary calculated electric quantity data corresponding to the current time tag through the original data database and the energy efficiency analysis unit, storing the pre-calculated secondary calculated electric quantity data in the analysis data database, and executing the entity table data investigation module again.
Specifically, the system further comprises a data additional recording module; the data additional recording module is used for judging whether the table bottom number stored in the original data database is missing or not; the entity table data searching module is used for performing entity table data searching on the entity table and performing entity table data searching on the entity table; and the entity table data checking module is used for executing entity table data checking when the number of the table bases stored in the original data database is not missing.
It is worth to be noted that the system also comprises a virtual table analysis data acquisition module and a virtual table data checking module; the virtual table analysis data acquisition module is used for acquiring virtual pre-calculation secondary calculation electric quantity data and corresponding time labels from the analysis data database, wherein the total number of the table bases of a plurality of entity tables in the original data database at the same time is obtained through summation, the energy efficiency analysis unit acquires the total number of the table bases from the original data database, calculates the virtual re-calculation secondary calculation electric quantity data according to the total number of the table bases and stores the virtual re-calculation secondary calculation electric quantity data in the analysis data database;
the virtual table data checking module is used for judging whether the virtual recalculation secondary calculation electric quantity data is consistent with the virtual pre-calculation secondary calculation electric quantity data; the device comprises a data supplementing module, an entity table data checking module and an entity table data judging module, wherein the data supplementing module is used for selecting an entity table corresponding to the table base number forming the total table base number to execute entity table analysis data acquisition, data supplementing and recording, and entity table data checking; and the virtual table data checking module is used for executing the virtual table data checking module again after the virtual recalculation secondary calculation electric quantity data corresponding to the current time label are updated through the original data database and the energy efficiency analysis unit and stored in the analysis data database when the virtual recalculation secondary calculation electric quantity data are inconsistent with the virtual precomputation secondary calculation electric quantity data.
In some embodiments, the number of bases in the raw data database is the number of bases of electricity meters uploaded by the entity table at each clock; the pre-calculated secondary calculation electric quantity data comprise entity moment electric quantity data, entity hour electric quantity data and entity day electric quantity data, wherein the entity moment electric quantity data are the difference of original data uploaded by entity tables obtained by storing the data in an analysis data database for two consecutive quarter clocks, the entity hour electric quantity data are the sum of 4 continuous entity moment electric quantity data, and the entity day electric quantity data are the sum of 24 continuous entity hour electric quantity data;
the recalculation secondary calculation electric quantity data in the entity table data checking step comprise recalculation time electric quantity data, recalculation hour electric quantity data and recalculation day electric quantity data, wherein the recalculation time electric quantity data are difference values of original data uploaded by entity tables obtained by continuously storing the original data in an original data database for two quarter minutes, the recalculation hour electric quantity data are the sum of continuous 4 recalculation time electric quantity data, and the recalculation day electric quantity data are the sum of continuous 24 recalculation hour electric quantity data.
Specifically, the system further comprises an electricity price configuration checking module:
the power consumption detection system is used for detecting whether each day in a time period needing analysis is configured with power prices and detecting whether a peak valley power consumption time period configured with the power prices in each day covers 24 hours; the date display device is used for displaying the date corresponding to the time period with the power price loss when the time period with the power price loss appears; and the display unit is used for displaying the peak flat valley electricity utilization period when the peak flat valley electricity utilization period with the missing electricity price appears.
In the description herein, references to the description of the terms "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example" or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (6)
1. An electricity meter data checking method is characterized by comprising the following steps:
presetting: setting an original data database, an energy efficiency analysis unit and an analysis data database;
and (3) acquiring entity table analysis data: obtaining pre-calculated secondary calculation electric quantity data and a corresponding time tag from the analysis data database; the energy efficiency analysis unit obtains the number of the meter bases from an original data database, calculates the number of the meter bases to obtain pre-calculated secondary calculated electric quantity data and stores the pre-calculated secondary calculated electric quantity data in an analysis data database, obtains acquisition time from the original data database, calculates the acquisition time to obtain a time tag and stores the time tag in the analysis data database;
and (3) checking entity table data: the energy efficiency analysis unit acquires the corresponding meter base number of the time label corresponding to the pre-calculated secondary calculation electric quantity data from the original data database, calculates the recalculated secondary calculation electric quantity data according to the meter base number, and judges whether the recalculated secondary calculation electric quantity data is consistent with the pre-calculated secondary calculation electric quantity data;
and (3) judging entity table data: when the recalculated secondary calculated electric quantity data is consistent with the pre-calculated secondary calculated electric quantity data, judging that the pre-calculated secondary calculated electric quantity data has no problem; when the recalculated secondary calculated electric quantity data is inconsistent with the pre-calculated secondary calculated electric quantity data, updating the pre-calculated secondary calculated electric quantity data corresponding to the current time tag through the original data database and the energy efficiency analysis unit, storing the pre-calculated secondary calculated electric quantity data in the analysis data database, and executing the entity table data checking step again;
a data additional recording step is further included between the entity table analysis data acquisition step and the entity table data investigation step;
the data additional recording step comprises the following steps: judging whether the table bottom number stored in the original data database is missing or not; when the table bottom number stored in the original data database is missing, the original data database carries out additional recording on the table bottom number through an entity table, and then the step of checking the entity table data is executed; when the table bottom number stored in the original data database is not missing, executing a step of checking the entity table data; the method also comprises a virtual table analysis data acquisition step and a virtual table data checking step;
the virtual table analysis data acquisition step comprises: obtaining virtual pre-calculation secondary calculation electric quantity data and a corresponding time tag from the analysis data database, wherein the table base numbers of a plurality of entity tables in the original data database at the same time are summed to obtain a total table base number, and the energy efficiency analysis unit obtains the virtual re-calculation secondary calculation electric quantity data from the original data database after obtaining the total table base number and calculates the virtual re-calculation secondary calculation electric quantity data according to the total table base number and stores the virtual re-calculation secondary calculation electric quantity data in the analysis data database;
the virtual table data checking step comprises: judging whether the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data; when the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data, selecting an entity table corresponding to the table base number forming the total table base number to execute an entity table analysis data acquisition step, a data supplement step, an entity table data investigation step and an entity table data judgment step; and when the virtual recalculation secondary calculation electric quantity data is inconsistent with the virtual precomputation secondary calculation electric quantity data, updating the virtual precomputation secondary calculation electric quantity data corresponding to the current time tag through the original data database and the energy efficiency analysis unit, storing the data in the analysis data database, and then executing the virtual table data checking step again.
2. The electric meter data checking method according to claim 1, characterized in that: the number of the meter bases in the original data database in the step of analyzing the entity table data is the number of the electricity meter bases uploaded by the entity table at each moment; the pre-calculated secondary calculation electric quantity data comprise entity moment electric quantity data, entity hour electric quantity data and entity day electric quantity data, wherein the entity moment electric quantity data are the difference of original data uploaded by entity tables obtained by storing the data in an analysis data database for two consecutive quarter clocks, the entity hour electric quantity data are the sum of 4 continuous entity moment electric quantity data, and the entity day electric quantity data are the sum of 24 continuous entity hour electric quantity data;
the recalculation secondary calculation electric quantity data in the entity table data checking step comprise recalculation time electric quantity data, recalculation hour electric quantity data and recalculation day electric quantity data, wherein the recalculation time electric quantity data are difference values of original data uploaded by entity tables obtained by continuously storing the original data in an original data database for two quarter minutes, the recalculation hour electric quantity data are the sum of continuous 4 recalculation time electric quantity data, and the recalculation day electric quantity data are the sum of continuous 24 recalculation hour electric quantity data.
3. The electric meter data checking method according to claim 1, characterized in that: before the entity table data checking step, the method also comprises an electricity price configuration checking step:
detecting whether each day in a time period needing analysis is configured with electricity prices and whether a peak valley electricity utilization time period configured with the electricity prices in each day covers 24 hours; when the time period with the power price missing appears, displaying the date corresponding to the time period with the power price missing; when a peak flat valley electricity utilization period with missing electricity prices occurs, the peak flat valley electricity utilization period is displayed.
4. An electricity meter data checking system, comprising:
a presetting module: the system comprises a data processing unit, a data analysis unit and a data analysis unit, wherein the data processing unit is used for setting an original data database, an energy efficiency analysis unit and an analysis data database;
entity table analysis data acquisition module: the system is used for obtaining pre-calculated secondary calculation electric quantity data and a corresponding time tag from the analysis data database; the energy efficiency analysis unit obtains the number of the meter bases from an original data database, calculates the number of the meter bases to obtain pre-calculated secondary calculated electric quantity data and stores the pre-calculated secondary calculated electric quantity data in an analysis data database, obtains acquisition time from the original data database, calculates the acquisition time to obtain a time tag and stores the time tag in the analysis data database;
the entity table data checking module: the energy efficiency analysis unit is used for obtaining the corresponding meter base number of the time label corresponding to the pre-calculated secondary calculation electric quantity data from the original data database, calculating according to the meter base number to obtain the re-calculated secondary calculation electric quantity data, and judging whether the re-calculated secondary calculation electric quantity data is consistent with the pre-calculated secondary calculation electric quantity data or not;
entity table data judgment module: the electric quantity data is used for judging that the pre-calculated secondary calculation electric quantity data has no problem when the re-calculated secondary calculation electric quantity data is consistent with the pre-calculated secondary calculation electric quantity data; the entity table data checking module is used for updating the pre-calculated secondary calculation electric quantity data corresponding to the current time label through the original data database and the energy efficiency analysis unit and storing the pre-calculated secondary calculation electric quantity data in the analysis data database when the re-calculated secondary calculation electric quantity data is inconsistent with the pre-calculated secondary calculation electric quantity data, and executing the entity table data checking module again;
the system also comprises a data additional recording module;
the data additional recording module is used for judging whether the number of the table bottoms stored in the original data database is missing or not; the system comprises a data base database, an entity table data searching module, a data base searching module and a data base searching module, wherein the data base searching module is used for searching entity table data; the entity table data checking module is used for executing entity table data checking when the number of the table bases stored in the original data database is not missing;
the system also comprises a virtual table analysis data acquisition module and a virtual table data checking module;
the virtual table analysis data acquisition module is used for acquiring virtual pre-calculation secondary calculation electric quantity data and corresponding time labels from the analysis data database, wherein the total number of the table bases of a plurality of entity tables in the original data database at the same time is obtained through summation, the energy efficiency analysis unit acquires the total number of the table bases from the original data database, calculates the virtual re-calculation secondary calculation electric quantity data according to the total number of the table bases and stores the virtual re-calculation secondary calculation electric quantity data in the analysis data database;
the virtual table data checking module is used for judging whether the virtual recalculation secondary calculation electric quantity data is consistent with the virtual precomputation secondary calculation electric quantity data; the device comprises a data supplementing module, an entity table data checking module and an entity table data judging module, wherein the data supplementing module is used for selecting an entity table corresponding to the table base number forming the total table base number to execute entity table analysis data acquisition, data supplementing and recording, and entity table data checking; and the virtual table data investigation module is executed again after the virtual recalculation secondary calculation electric quantity data corresponding to the current time tag is updated through the original data database and the energy efficiency analysis unit and stored in the analysis data database when the virtual recalculation secondary calculation electric quantity data is inconsistent with the virtual precomputation secondary calculation electric quantity data.
5. The meter data checking system of claim 4, wherein: the number of the meter base in the original data database is the number of the electricity meter base uploaded by the entity table at each clock; the pre-calculated secondary calculation electric quantity data comprise entity moment electric quantity data, entity hour electric quantity data and entity day electric quantity data, wherein the entity moment electric quantity data are the difference of original data uploaded by entity tables obtained by storing the data in an analysis data database for two consecutive quarter clocks, the entity hour electric quantity data are the sum of 4 continuous entity moment electric quantity data, and the entity day electric quantity data are the sum of 24 continuous entity hour electric quantity data;
the recalculation secondary calculation electric quantity data in the entity table data checking step comprise recalculation time electric quantity data, recalculation hour electric quantity data and recalculation day electric quantity data, wherein the recalculation time electric quantity data are difference values of original data uploaded by entity tables obtained by continuously storing the original data in an original data database for two quarter minutes, the recalculation hour electric quantity data are the sum of continuous 4 recalculation time electric quantity data, and the recalculation day electric quantity data are the sum of continuous 24 recalculation hour electric quantity data.
6. The meter data checking system of claim 4, wherein: the system also comprises an electricity price configuration checking module:
the power consumption detection system is used for detecting whether each day in a time period needing analysis is configured with power prices and detecting whether a peak valley power consumption time period configured with the power prices in each day covers 24 hours; the system comprises a display module, a display module and a display module, wherein the display module is used for displaying a date corresponding to a time period with power price missing when the time period with power price missing appears; and the display unit is used for displaying the peak flat valley electricity utilization period when the peak flat valley electricity utilization period with the missing electricity price appears.
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