CN116541405A - Electric power marketing data integrity detection and automatic archiving method - Google Patents
Electric power marketing data integrity detection and automatic archiving method Download PDFInfo
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Abstract
The invention provides a method and a system for detecting and automatically archiving the integrity of electric power marketing data, which belong to the technical field of data processing and specifically comprise the following steps: acquiring electric power marketing historical data of different users, taking the electric power marketing historical data with integrity defects as defect marketing data, acquiring acquisition terminals of the defect marketing data, screening problem acquisition terminals based on the types of the acquisition terminals, the data quantity of the defect marketing data of the acquisition terminals and the communication mode of the acquisition terminals, determining acquisition frequency based on the load quantity of the users and the fluctuation condition of the load quantity when the acquisition terminals of the users are not problem acquisition terminals, acquiring the electric power marketing data based on the acquisition frequency in combination with the defect probability of the users, carrying out integrity detection on the electric power marketing data of the users based on preset frequency, and carrying out automatic archiving based on the detection result of the integrity detection, thereby ensuring the integrity of the electric power marketing data and the detection efficiency.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a method for detecting and automatically archiving the integrity of electric power marketing data.
Background
In order to realize the integrity detection and verification of the electric power marketing data, incomplete data, abnormal data and repeated data in the electric power marketing data are cleaned in an invention patent CN107145586B, namely a label output method and device based on the electric power marketing data; according to the cleaned electric power marketing data output label, the generation of user portrait can be further realized, the data scale is reduced, the data value density is improved, but the following problems exist:
the frequency of integrity check is not determined by considering the difference of the acquisition equipment combined with the power marketing data, and the possibility of integrity defect is different due to the problems of the acquisition equipment and the acquisition equipment when the acquisition equipment uploads the data for the power marketing data of different users, so that the possibility of failure in accurately and timely detecting the integrity of the power marketing data is possibly caused if the factors cannot be combined.
Aiming at the technical problems, the invention provides a method for detecting and automatically archiving the integrity of electric power marketing data.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the present invention, a method of power marketing data integrity detection and automatic archiving is provided.
The utility model provides a method for detecting and automatic archiving the integrity of electric marketing data, which is characterized in that the method specifically comprises the following steps:
s11, acquiring electric power marketing historical data of different users, taking the electric power marketing historical data with integrity defects as defect marketing data, determining defect probability of the users based on data quantity of the defect marketing data, time periods of the defect marketing data and data quantity of the defect marketing data of different time periods, determining whether to acquire the electric power marketing data of the users by adopting a first set frequency based on the defect probability, if so, taking the first set frequency as the acquisition frequency of the electric power marketing data of the users, and entering a step S14, otherwise, entering a step S12;
s12, acquiring the acquisition terminal of the defect marketing data, screening the problem acquisition terminal based on the model of the acquisition terminal, the data volume of the defect marketing data of the acquisition terminal and the communication mode of the acquisition terminal, judging whether the acquisition terminal of the user is the problem acquisition terminal, if so, setting the acquisition frequency of the electric power marketing data of the user as a first set frequency, and entering a step S14, otherwise, entering a step S13;
s13, determining the acquisition frequency of the electric power marketing data of the user by combining the defect probability of the user based on the load quantity of the user and the variation situation of the load quantity;
s14, acquiring the electric power marketing data of the user based on the acquisition frequency of the electric power marketing data of the user, detecting the integrity of the electric power marketing data of the user based on the preset frequency, and automatically archiving based on the detection result of the integrity detection.
The defect probability of the user is determined based on the data quantity of the defect marketing data, the time period of the defect marketing data and the data quantity of the defect marketing data of different time periods, so that the defect probability of the user is determined from the perspective of historical defect conditions, the differential setting of the detection frequencies of different users is realized, the situation of the defect marketing data in different time periods is considered, and the detection pertinence is further ensured.
The problem acquisition terminal is screened based on the model of the acquisition terminal, the data volume of the defect marketing data of the acquisition terminal and the communication mode of the acquisition terminal, so that the acquisition frequency is determined from the angle of the problem acquisition terminal, the pertinence and timeliness of the detection of the users of the defect marketing data are ensured, and the pertinence of the detection of the users of the defect marketing data are also ensured.
The user load and the fluctuation condition of the load are combined, and the defect probability of the user is combined to determine the acquisition frequency of the power marketing data of the user, so that the user with larger load and the user with more severe fluctuation condition are ensured to acquire frequency, the technical problem of lower accuracy of defect processing caused by larger load fluctuation during defect processing of the power marketing data is avoided, and meanwhile, the accuracy of the power marketing data is also ensured.
The further technical scheme is that the electric power marketing historical data are the load quantity of electricity consumption and the electric energy power factor of the electricity consumption in the history of the user.
The further technical scheme is that the specific steps of the defect probability construction of the user are as follows:
s21, acquiring the data volume of the defect marketing data of the user, judging whether the data volume of the defect marketing data is larger than a first data volume threshold, if so, entering a step S22, and if not, entering a step S24;
s22, judging whether the data volume of the defect marketing data is larger than a second data volume threshold, if so, constructing the defect probability of the user based on the data volume of the defect marketing data and the preset defect probability, and if not, entering a step S23;
s23, determining whether the defect marketing data exist in the latest set time period or not based on the time period of the defect marketing data, if so, entering a step S24, and if not, entering a step S25;
s24, obtaining defect marketing data in a latest set time period, judging whether the data amount of the defect marketing data in the latest set time period is larger than a third data amount threshold, if so, constructing defect probability of the user based on the time period of the defect marketing data in the latest preset time period, the data amount of the defect marketing data in the latest preset time period and the preset defect probability, and if not, entering step S25;
s25 constructs the defect probability of the user based on the data amount of the defect marketing data, the time period of the defect marketing data, the data amount of the defect marketing data of different time periods, and the data amount of the defect marketing data in the latest set time period.
A further technical solution is that the first data amount threshold is smaller than the second data amount threshold.
The further technical scheme is that the set time period is determined according to the data amount of the user's defect marketing data and the electricity consumption load amount of the user, wherein the larger the data amount of the user's defect marketing data is, the larger the electricity consumption load amount of the user is, and the longer the set time period is.
The further technical scheme is that the specific steps of the problem acquisition terminal are as follows:
s31, taking the acquisition terminals with the same model as the same acquisition terminal based on the model of the acquisition terminal of the defect marketing data, determining whether the same acquisition terminal is a problem acquisition terminal based on the data size of the defect marketing data of the same acquisition terminal, if so, taking the acquisition terminal with the same model as the problem acquisition terminal, and if not, entering step S32;
s32, determining whether the same acquisition terminal is a suspected problem acquisition terminal or not based on the number of the same acquisition terminals and the number of the same acquisition terminals, if so, entering a step S33, and if not, determining that the acquisition terminal with the same model as the same acquisition terminal is not a problem acquisition terminal;
s33, determining a problem evaluation value of the same acquisition terminal based on the number of the same acquisition terminals, the data amount of defect marketing data of the same acquisition terminal and the use number of the same acquisition terminal, determining whether the same acquisition terminal is a problem acquisition terminal or not based on the problem evaluation value, if so, taking the acquisition terminal with the same model as the same acquisition terminal as the problem acquisition terminal, and if not, entering step S34;
s34, based on the problem evaluation values of the same acquisition terminals, the communication mode of the same acquisition terminals and the proportion of the same acquisition terminals in the acquisition terminals, the reliability evaluation values of the same acquisition terminals are carried out, and based on the reliability evaluation values, screening of the problem acquisition terminals is carried out.
The further technical scheme is that when the ratio of the number of the same acquisition terminals to the number of the same acquisition terminals is larger than a preset value, the same acquisition terminals are determined to be suspected problem acquisition terminals, wherein the number of the same acquisition terminals is determined according to the number of the same acquisition terminals in an acquisition area of the power marketing data.
The further technical scheme is that the value range of the problem evaluation value is between 0 and 1, wherein the more the number of the same acquisition terminals is, the more the data amount of the defect marketing data of the same acquisition terminals is, and the larger the ratio of the number of the same acquisition terminals to the number of the same acquisition terminals is, the larger the problem evaluation value is.
In another aspect, embodiments of the present application provide a computer system, including: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor, when running the computer program, performs one of the power marketing data integrity detection and automatic archiving methods described above.
In another aspect, the present invention provides a storage device having a computer program stored thereon, which when executed in a computer causes the computer to perform a method of electrical marketing data integrity detection and automatic archiving as described above.
Additional features and advantages will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
Fig. 1 is a flow chart of a method of power marketing data integrity detection and automatic archiving, according to embodiment 1.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus detailed descriptions thereof will be omitted.
The terms "a," "an," "the," and "said" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. in addition to the listed elements/components/etc.
Example 1
To solve the above problems, according to one aspect of the present invention, as shown in fig. 1, there is provided a method for detecting and automatically archiving integrity of electric marketing data, which is characterized by comprising:
s11, acquiring electric power marketing historical data of different users, taking the electric power marketing historical data with integrity defects as defect marketing data, determining defect probability of the users based on data quantity of the defect marketing data, time periods of the defect marketing data and data quantity of the defect marketing data of different time periods, determining whether to acquire the electric power marketing data of the users by adopting a first set frequency based on the defect probability, if so, taking the first set frequency as the acquisition frequency of the electric power marketing data of the users, and entering a step S14, otherwise, entering a step S12;
specifically, the power marketing history data is the load quantity of electricity consumption and the power factor of electricity consumption in the history of the user.
The specific steps of the defect probability construction of the user are specifically illustrated as follows:
s21, acquiring the data volume of the defect marketing data of the user, judging whether the data volume of the defect marketing data is larger than a first data volume threshold, if so, entering a step S22, and if not, entering a step S24;
s22, judging whether the data volume of the defect marketing data is larger than a second data volume threshold, if so, constructing the defect probability of the user based on the data volume of the defect marketing data and the preset defect probability, and if not, entering a step S23;
s23, determining whether the defect marketing data exist in the latest set time period or not based on the time period of the defect marketing data, if so, entering a step S24, and if not, entering a step S25;
s24, obtaining defect marketing data in a latest set time period, judging whether the data amount of the defect marketing data in the latest set time period is larger than a third data amount threshold, if so, constructing defect probability of the user based on the time period of the defect marketing data in the latest preset time period, the data amount of the defect marketing data in the latest preset time period and the preset defect probability, and if not, entering step S25;
s25 constructs the defect probability of the user based on the data amount of the defect marketing data, the time period of the defect marketing data, the data amount of the defect marketing data of different time periods, and the data amount of the defect marketing data in the latest set time period.
It is understood that the first data amount threshold is less than the second data amount threshold.
Specifically, the set time period is determined according to the data amount of the user's defect marketing data and the load amount of electricity used by the user, wherein the larger the data amount of the user's defect marketing data is, the larger the load amount of electricity used by the user is, and the longer the set time period is.
S12, acquiring the acquisition terminal of the defect marketing data, screening the problem acquisition terminal based on the model of the acquisition terminal, the data volume of the defect marketing data of the acquisition terminal and the communication mode of the acquisition terminal, judging whether the acquisition terminal of the user is the problem acquisition terminal, if so, setting the acquisition frequency of the electric power marketing data of the user as a first set frequency, and entering a step S14, otherwise, entering a step S13;
specifically, the communication modes include wired transmission and wireless transmission, and more specifically, the wired transmission and the wireless transmission can be further divided according to the reliability differences of the adopted communication protocols.
The specific steps of the problem acquisition terminal are specifically illustrated as follows:
s31, taking the acquisition terminals with the same model as the same acquisition terminal based on the model of the acquisition terminal of the defect marketing data, determining whether the same acquisition terminal is a problem acquisition terminal based on the data size of the defect marketing data of the same acquisition terminal, if so, taking the acquisition terminal with the same model as the problem acquisition terminal, and if not, entering step S32;
s32, determining whether the same acquisition terminal is a suspected problem acquisition terminal or not based on the number of the same acquisition terminals and the number of the same acquisition terminals, if so, entering a step S33, and if not, determining that the acquisition terminal with the same model as the same acquisition terminal is not a problem acquisition terminal;
s33, determining a problem evaluation value of the same acquisition terminal based on the number of the same acquisition terminals, the data amount of defect marketing data of the same acquisition terminal and the use number of the same acquisition terminal, determining whether the same acquisition terminal is a problem acquisition terminal or not based on the problem evaluation value, if so, taking the acquisition terminal with the same model as the same acquisition terminal as the problem acquisition terminal, and if not, entering step S34;
s34, based on the problem evaluation values of the same acquisition terminals, the communication mode of the same acquisition terminals and the proportion of the same acquisition terminals in the acquisition terminals, the reliability evaluation values of the same acquisition terminals are carried out, and based on the reliability evaluation values, screening of the problem acquisition terminals is carried out.
Specifically, when the ratio of the number of the same acquisition terminals to the number of the same acquisition terminals used is greater than a preset value, determining that the same acquisition terminals are suspected problem acquisition terminals, wherein the number of the same acquisition terminals used is determined according to the number of the same acquisition terminals in an acquisition area of the power marketing data.
It can be understood that the value range of the problem evaluation value is between 0 and 1, wherein the larger the number of the same acquisition terminals, the larger the data amount of the defect marketing data of the same acquisition terminals, and the larger the ratio of the number of the same acquisition terminals to the number of the same acquisition terminals used, the larger the problem evaluation value.
S13, determining the acquisition frequency of the electric power marketing data of the user by combining the defect probability of the user based on the load quantity of the user and the variation situation of the load quantity;
specifically, the determining the acquisition frequency of the user based on the load capacity of the user and the variation situation of the load capacity and combined with the defect probability of the user specifically includes:
s41, determining whether a first set frequency is required to be used as the acquisition frequency of the user based on the load quantity of the user, if so, using the first set frequency as the acquisition frequency of the power marketing data of the user, and if not, proceeding to step S42;
s42, determining the maximum fluctuation amount of the load amount in one day and the variance value of the load amount in one day based on the fluctuation situation of the load amount of the user, determining whether the user is a screening user or not based on the maximum fluctuation amount of the load amount in one day and the variance value of the load amount in one day, if yes, proceeding to step S44, otherwise proceeding to step S43;
s43, acquiring the power factor of the electricity consumption of the user, determining the maximum fluctuation amount of the power factor in one day and the variance value of the power factor in one day, and determining whether the user is a screening user or not by combining the maximum fluctuation amount of the load in one day and the variance value of the load in one day, if so, entering a step S44, and if not, entering a step S45;
s44, determining that the first set frequency is required to be used as the acquisition frequency of the user based on the defect probability of the screening user, if yes, using the first set frequency as the acquisition frequency of the power marketing data of the user, and if no, entering step S45;
s45, determining the acquisition frequency of the user according to the maximum fluctuation amount of the load amount of the user in one day, the variance value of the load amount in one day, the maximum fluctuation amount of the power factor of the user in one day and the variance value of the power factor in one day, and the defect probability of the user.
S14, acquiring the electric power marketing data of the user based on the acquisition frequency of the electric power marketing data of the user, detecting the integrity of the electric power marketing data of the user based on the preset frequency, and automatically archiving based on the detection result of the integrity detection.
It should be noted that, the automatic archiving based on the detection result of the integrity detection specifically includes:
when the detection result of the integrity detection of the electric power marketing data of the user is that the integrity defect does not exist, automatically archiving the electric power marketing data of the user;
and when the detection result of the integrity detection of the electric power marketing data of the user is that the electric power marketing data of the user has the integrity defect, correcting the electric power marketing data of the user based on the electric power marketing history data of the user, and automatically archiving based on the corrected electric power marketing data.
The invention has the beneficial effects that:
the defect probability of the user is determined based on the data quantity of the defect marketing data, the time period of the defect marketing data and the data quantity of the defect marketing data of different time periods, so that the defect probability of the user is determined from the perspective of historical defect conditions, the differential setting of the detection frequencies of different users is realized, the situation of the defect marketing data in different time periods is considered, and the detection pertinence is further ensured.
The problem acquisition terminal is screened based on the model of the acquisition terminal, the data volume of the defect marketing data of the acquisition terminal and the communication mode of the acquisition terminal, so that the acquisition frequency is determined from the angle of the problem acquisition terminal, the pertinence and timeliness of the detection of the users of the defect marketing data are ensured, and the pertinence of the detection of the users of the defect marketing data are also ensured.
The user load and the fluctuation condition of the load are combined, and the defect probability of the user is combined to determine the acquisition frequency of the power marketing data of the user, so that the user with larger load and the user with more severe fluctuation condition are ensured to acquire frequency, the technical problem of lower accuracy of defect processing caused by larger load fluctuation during defect processing of the power marketing data is avoided, and meanwhile, the accuracy of the power marketing data is also ensured.
Example 2
In an embodiment of the present application, a computer system is provided, including: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor, when running the computer program, performs one of the power marketing data integrity detection and automatic archiving methods described above.
Example 3
The present invention provides a computer storage medium having a computer program stored thereon which, when executed in a computer, causes the computer to perform a method of electrical marketing data integrity detection and automatic archiving as described above.
In the several embodiments provided in this application, it should be understood that the disclosed systems and methods may be implemented in other ways as well. The system embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present invention may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored on a computer readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
With the above-described preferred embodiments according to the present invention as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the description, but must be determined according to the scope of claims.
Claims (10)
1. The utility model provides a method for detecting and automatic archiving the integrity of electric marketing data, which is characterized in that the method specifically comprises the following steps:
s11, acquiring electric power marketing historical data of different users, taking the electric power marketing historical data with integrity defects as defect marketing data, determining defect probability of the users based on data quantity of the defect marketing data, time periods of the defect marketing data and data quantity of the defect marketing data of different time periods, determining whether to acquire the electric power marketing data of the users by adopting a first set frequency based on the defect probability, if so, taking the first set frequency as the acquisition frequency of the electric power marketing data of the users, and entering a step S14, otherwise, entering a step S12;
s12, acquiring the acquisition terminal of the defect marketing data, screening the problem acquisition terminal based on the model of the acquisition terminal, the data volume of the defect marketing data of the acquisition terminal and the communication mode of the acquisition terminal, judging whether the acquisition terminal of the user is the problem acquisition terminal, if so, setting the acquisition frequency of the electric power marketing data of the user as a first set frequency, and entering a step S14, otherwise, entering a step S13;
s13, determining the acquisition frequency of the electric power marketing data of the user by combining the defect probability of the user based on the load quantity of the user and the variation situation of the load quantity;
s14, acquiring the electric power marketing data of the user based on the acquisition frequency of the electric power marketing data of the user, detecting the integrity of the electric power marketing data of the user based on the preset frequency, and automatically archiving based on the detection result of the integrity detection.
2. The method for integrity detection and automatic archiving of electrical marketing data of claim 1, wherein the electrical marketing history data is an amount of load of electricity, an electrical power factor of the electricity in the user's history.
3. The method for detecting and automatically archiving the integrity of electric marketing data according to claim 1, wherein the specific steps of constructing the probability of the user defects are as follows:
s21, acquiring the data volume of the defect marketing data of the user, judging whether the data volume of the defect marketing data is larger than a first data volume threshold, if so, entering a step S22, and if not, entering a step S24;
s22, judging whether the data volume of the defect marketing data is larger than a second data volume threshold, if so, constructing the defect probability of the user based on the data volume of the defect marketing data and the preset defect probability, and if not, entering a step S23;
s23, determining whether the defect marketing data exist in the latest set time period or not based on the time period of the defect marketing data, if so, entering a step S24, and if not, entering a step S25;
s24, obtaining defect marketing data in a latest set time period, judging whether the data amount of the defect marketing data in the latest set time period is larger than a third data amount threshold, if so, constructing defect probability of the user based on the time period of the defect marketing data in the latest preset time period, the data amount of the defect marketing data in the latest preset time period and the preset defect probability, and if not, entering step S25;
s25 constructs the defect probability of the user based on the data amount of the defect marketing data, the time period of the defect marketing data, the data amount of the defect marketing data of different time periods, and the data amount of the defect marketing data in the latest set time period.
4. The method of power marketing data integrity detection and automatic archiving of claim 3, wherein the first data volume threshold is less than the second data volume threshold.
5. The method for detecting and automatically archiving the integrity of electric marketing data according to claim 3, wherein the set time period is determined according to the data amount of the user's defect marketing data and the load amount of the user's electricity, and wherein the greater the data amount of the user's defect marketing data, the greater the load amount of the user's electricity, the longer the set time period.
6. The method for detecting and automatically archiving the integrity of electric marketing data according to claim 1, wherein the specific steps of determining the problem acquisition terminal are as follows:
s31, taking the acquisition terminals with the same model as the same acquisition terminal based on the model of the acquisition terminal of the defect marketing data, determining whether the same acquisition terminal is a problem acquisition terminal based on the data size of the defect marketing data of the same acquisition terminal, if so, taking the acquisition terminal with the same model as the problem acquisition terminal, and if not, entering step S32;
s32, determining whether the same acquisition terminal is a suspected problem acquisition terminal or not based on the number of the same acquisition terminals and the number of the same acquisition terminals, if so, entering a step S33, and if not, determining that the acquisition terminal with the same model as the same acquisition terminal is not a problem acquisition terminal;
s33, determining a problem evaluation value of the same acquisition terminal based on the number of the same acquisition terminals, the data amount of defect marketing data of the same acquisition terminal and the use number of the same acquisition terminal, determining whether the same acquisition terminal is a problem acquisition terminal or not based on the problem evaluation value, if so, taking the acquisition terminal with the same model as the same acquisition terminal as the problem acquisition terminal, and if not, entering step S34;
s34, based on the problem evaluation values of the same acquisition terminals, the communication mode of the same acquisition terminals and the proportion of the same acquisition terminals in the acquisition terminals, the reliability evaluation values of the same acquisition terminals are carried out, and based on the reliability evaluation values, screening of the problem acquisition terminals is carried out.
7. The method for detecting and automatically archiving the integrity of electric power marketing data according to claim 6, wherein when the ratio of the number of the same acquisition terminals to the number of the same acquisition terminals used is greater than a preset value, the same acquisition terminals are determined to be suspected problem acquisition terminals, wherein the number of the same acquisition terminals used is determined according to the number of the same acquisition terminals used in the acquisition area of the electric power marketing data.
8. The method for detecting and automatically archiving the integrity of electric marketing data according to claim 6, wherein the problem assessment value ranges from 0 to 1, and wherein the larger the number of the same acquisition terminals, the larger the data amount of the defect marketing data of the same acquisition terminals, and the larger the ratio of the number of the same acquisition terminals to the number of the same acquisition terminals used, the larger the problem assessment value.
9. A computer system, comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor, when executing the computer program, performs a method of power marketing data integrity detection and automatic archiving as defined in any one of claims 1-8.
10. A storage device having stored thereon a computer program which, when executed in a computer, causes the computer to perform a method of electrical marketing data integrity detection and automatic archiving as claimed in any one of claims 1 to 8.
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