CN114358814A - Data processing method and device, electronic equipment and computer readable storage medium - Google Patents
Data processing method and device, electronic equipment and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a data processing method, a data processing device, electronic equipment and a computer readable storage medium. Wherein, the method comprises the following steps: acquiring first electric data of a target account in a target area and a data type of the first electric data, wherein the data type comprises numerical data and non-numerical data; determining a sub-level label corresponding to the first electric data based on the data type of the first electric data; the sub-level labels are induced into the corresponding main-level labels; and displaying the main-level label in a predetermined interface in the case that the number of the sub-level labels included in the main-level label is greater than a predetermined threshold value. The invention solves the technical problem that in the related technology, the electricity utilization label capable of reflecting the electricity utilization characteristics of the user is difficult to accurately show.
Description
Technical Field
The present invention relates to the field of computers, and in particular, to a data processing method, an apparatus, an electronic device, and a computer-readable storage medium.
Background
In the related art, the research point of the power user tag system mainly lies in daily power utilization of a user or research on some other unilateral to construct a special tag system. For example, a power consumer tag system generally directly obtains a part of basic tags according to the characteristics of power consumption data, then obtains a part of statistical tags and model tags through statistics and models, and simply combines the statistical tags and the model tags to form a complete tag system. However, when the label system is constructed by adopting the method, the granularity of the label is large and not fine enough, and the result cannot completely reflect the power utilization characteristics of the user due to direct use.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a data processing method, a data processing device, electronic equipment and a computer readable storage medium, which are used for at least solving the technical problem that in the related technology, an electricity utilization label capable of reflecting the electricity utilization characteristics of a user is difficult to accurately show.
According to an aspect of an embodiment of the present invention, there is provided a data processing method including: acquiring first electricity data of a target account in a target area and a data type of the first electricity data, wherein the data type comprises numerical data and non-numerical data; determining a sub-level label corresponding to the first electric data based on the data type of the first electric data; the sub-level labels are induced into corresponding main-level labels; displaying the primary label in a predetermined interface if the number of child labels included in the primary label is greater than a predetermined threshold.
Optionally, the determining, based on the data type of the first electrical data, a sub-level tag corresponding to the first electrical data includes: determining the electricity utilization type represented by the first electricity data when the data type of the first electricity data is numerical data; arranging second electricity data of all accounts in the target area according to the electricity utilization type and a preset rule, wherein the second electricity data are electricity data belonging to the electricity utilization type in all the electricity utilization data, and the all the electricity data are electricity data of all the accounts in the target area; and determining a sublevel label of the first electric data according to the arrangement position of the first electric data in the second electric data.
Optionally, the determining a sub-level label of the first electrical data according to the arrangement position of the first electrical data in the second electrical data includes: determining a position interval to which the arrangement position belongs according to the arrangement position of the first electric data in the second electric data; and determining a sublevel label of the first electronic data according to the position interval.
Optionally, the determining, based on the data type of the first electrical data, a sub-level tag corresponding to the first electrical data includes: and under the condition that the data type of the first electric data is non-numerical data, determining a sub-level label corresponding to the first electric data according to the first electric data.
Optionally, the obtaining the first electricity data of the target account in the target area and the data type of the first electricity data includes: in the event that the first electrical data is missing, the first electrical data is populated.
Optionally, the generalizing the sub-level label into a corresponding main-level label includes: determining the electricity utilization characteristics corresponding to the sub-level labels; and according to the electricity utilization characteristics, the sub-level labels are summarized into the corresponding main-level labels.
According to an aspect of an embodiment of the present invention, there is provided a data processing apparatus including: the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring first electric data of a target account in a target area and a data type of the first electric data, and the data type comprises numerical data and non-numerical data; the determining module is used for determining a sub-level label corresponding to the first electric data based on the data type of the first electric data; the induction module is used for inducing the sub-level labels into corresponding main-level labels; and the display module is used for displaying the main-level label in a preset interface under the condition that the number of the sub-level labels included in the main-level label is greater than a preset threshold value.
According to an aspect of an embodiment of the present invention, there is provided an electronic apparatus including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the data processing method of any one of the above.
According to an aspect of the embodiments of the present invention, there is provided a computer-readable storage medium, wherein instructions of the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform any one of the data processing methods described above.
According to an aspect of an embodiment of the present invention, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the data processing method of any one of the above.
In the embodiment of the invention, the first electric data of the target account in the target area and the data type of the first electric data are acquired, the sub-level label corresponding to the first electric data is determined based on the data type of the first electric data, and the sub-level label is summarized into the corresponding main-level label, so that the sub-level label is displayed in the preset interface under the condition that the number of the sub-level labels included in the main-level label is greater than the preset threshold value, because the finally displayed main-level label meets the preset condition and is obtained according to the electric data of the target account, and the technical problem that the electric label capable of reflecting the electric characteristics of the user is difficult to accurately display in the related technology is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow diagram of a data processing method according to an embodiment of the invention;
fig. 2 is a block diagram of a data processing apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided an embodiment of a data processing method, it should be noted that the steps illustrated in the flowchart of the accompanying drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than that herein.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, acquiring first electricity data of a target account in a target area and a data type of the first electricity data, wherein the data type comprises numerical data and non-numerical data;
step S104, determining a sub-level label corresponding to the first electric data based on the data type of the first electric data;
step S106, the sub-level labels are induced into the corresponding main-level labels;
and S108, displaying the main level label in a preset interface under the condition that the number of the sub level labels included in the main level label is larger than a preset threshold value.
Through the steps, the first electric data of the target account in the target area and the data type of the first electric data are obtained, the sub-level label corresponding to the first electric data is determined based on the data type of the first electric data, and the sub-level label is summarized into the corresponding main-level label, so that the sub-level label is displayed in the preset interface under the condition that the number of the sub-level labels included in the main-level label is larger than the preset threshold value, and the finally displayed main-level label meets the preset condition and is obtained according to the electric data of the target account, and the technical problem that the electric label capable of reflecting the electric characteristics of the user is difficult to accurately display in the related technology is solved.
The target area may be set autonomously in units of provinces, in units of regions, or according to a scene of an actual application. Through different region settings, the electricity utilization data aiming at the region target account can be acquired so as to be better processed, and the analysis and the comparison of the electricity utilization data in subsequent different regions are facilitated.
The target account can be the account of a certain user in all users who use electricity in the target area, so that the electricity utilization data of the user can be obtained, the electricity utilization behavior of the user can be analyzed, and then the label is given according to the electricity utilization data, so that the user can better know the electricity utilization condition of the user.
The first electricity data of the target account may be some electricity data of the account obtained by the recording, and this electricity data may refer to multiple types of electricity data, for example, may be account electricity basic information; or the data can be the daily average electricity quantity data of account electricity consumption, peak section electricity quantity data, valley electricity quantity data, electricity fee, payment balance, unit area heating electricity consumption and the like; the electricity utilization data can also be data capable of representing energy conservation and emission reduction contribution of a coal-to-electricity account, such as coal-burning quantity reduction data, equivalent tree planting quantity data and the like; the electricity consumption data may also be data representing electricity consumption behavior, such as electricity consumption ratio data for weekdays and non-weekdays, and the like.
As an alternative embodiment, when the first electricity data of the target account in the target area and the data type of the first electricity data are acquired, there may be a case that the first electricity data is missing, and in this case, an appropriate method may be selected to fill the first electricity data according to different electricity data types. In the case of non-numerical electricity consumption data missing, for example, if the account is a "coal changes electricity" account missing, in this case, the account may be filled with its own attribute, or other types of electricity consumption data may be called, and the electricity consumption data may be analyzed and compared to be an electricity consumption type account or a coal consumption type account. When the numerical power consumption data is missing, the processing can be divided into a plurality of cases, for example, when the missing numerical data is continuous data such as the monthly total power consumption, the monthly valley power consumption, the daily total power consumption, and the daily valley power consumption, the missing data has a certain correlation with the historical data such as the monthly total power consumption, the monthly valley power consumption, the daily total power consumption, and the daily valley power consumption of the account, the processing method can be to fill the missing data by using the next power consumption data, the previous two power consumption data mean values, the next two power consumption data mean values, the previous and next power consumption data mean values, and the interpolation method according to the actual situation, and for some abnormal power consumption data, the processing can also be corrected by combining the historical power consumption data of the account. When other situations occur in the numerical data, the numerical data can be processed according to actual application and scenes.
As an alternative embodiment, when determining the sub-level label corresponding to the first electrical data based on the data type of the first electrical data, the type of the first electrical data may be firstly divided into numerical data and non-numerical data. When the data type of the first electricity data is numerical data, determining the electricity utilization type represented by the first electricity data, wherein the electricity utilization type represented by the first electricity data is data which can be represented by numerical values in the above example, and arranging second electricity data of all accounts in the target area according to the electricity utilization type according to a predetermined rule, wherein the second electricity data is electricity utilization data belonging to the electricity utilization type in the all electricity utilization data, and the all electricity utilization data is electricity utilization data of all accounts in the target area. The method includes that power utilization data of the same power utilization type are arranged according to a preset rule according to the power utilization type, wherein the power utilization data can be power utilization data under multiple power utilization types, for example, when the power utilization type is daily average power quantity data, the daily average power quantity data of all accounts in a target area are arranged according to the preset rule, and the positions of the daily average power quantity data of the target account in the daily average power quantity data of all accounts in the target area are determined. The predetermined rule may be sequential, reverse, temporal, etc. The flexible setting can be carried out according to the specific power utilization type. After the data is arranged, the sublevel label of the first electric data can be determined according to the arrangement position of the first electric data in the second electric data. For example, when the electricity usage type is the daily average electricity quantity data and the predetermined rule is that the electricity usage type is arranged from large to small, the sub-level label corresponding to the daily average electricity quantity data of the target account is determined according to the position of the daily average electricity quantity data of the target account. Specifically, a position interval to which the arrangement position belongs may be determined according to the arrangement position of the first electrical data in the second electrical data, and the sub-level tag of the first electrical data may be determined according to the position interval. For example, when the electricity usage type is the daily average electricity quantity data, and the predetermined rule is that the electricity usage type is arranged from large to small, the daily average electricity quantity data of all accounts in the target area are arranged according to the rule that the daily average electricity quantity data is arranged from large to small, and at this time, if the position interval where the daily average electricity quantity data of the target account is located is 0-50%, the sub-level label of the high electricity quantity can be set; if the position interval of the daily average electric quantity data of the target account is 50% -75%, setting the position interval as a sublevel label of the common electric quantity; if the position interval of the daily average electric quantity data of the target account is 75% -100%, the daily average electric quantity data can be set as a low-electric-quantity sublevel label. Here, the present alternative embodiment provides only an example, and other power usage type data may be used in a similar manner. It should be noted that, the first electrical data of the target account in the target area and the data type of the first electrical data may be obtained in real time, so that the sub-level tag corresponding to the first electrical data may be determined according to the data type dynamically based on the first electrical data. Thereby enabling the finally displayed main-level tag to dynamically reflect the power utilization characteristics of the target account.
As an alternative embodiment, when determining the corresponding sub-level tag of the first electrical data based on the data type of the first electrical data, the type of the first electrical data includes numerical data and non-numerical data. When the data type of the first electric data is non-numerical data, and the corresponding sub-level label of the first electric data is determined according to the first electric data, the first electric data can be directly extracted as a result of the sub-level label. For example, the electricity consumption data is account electricity consumption basic information, specifically, the first modification time of the user, XXXX month XX day XXXX in XXXXXX year, and the first electricity consumption data is directly extracted as a result of the sub-level label.
As an optional embodiment, the sub-level tags may be included in the corresponding main-level tags, the sub-level tags may more finely reflect the power consumption of the user, and the main-level tags may more macroscopically reflect the power consumption of the user than the sub-level tags. When the sub-level labels are included in the corresponding main-level labels, the sub-level labels can be summarized into the corresponding main-level labels through the electricity utilization characteristics, and the following modes can be adopted: and determining the electricity utilization characteristics corresponding to the sub-level labels, and incorporating the sub-level labels into the corresponding main-level labels according to the electricity utilization characteristics. For example, when the electricity consumption type is daily average electricity consumption data, the sub-level tags of low electricity, general electricity and high electricity are determined according to the position where the electricity consumption data is located, electricity consumption characteristics of the sub-level tags can be extracted, and the electricity consumption characteristics of the sub-level tags can be summarized into corresponding main-level tags if the low electricity, general electricity and high electricity indicate electricity consumption characteristics of low electricity consumption. Through the mode, the power consumption data of different power consumption types of the target account can be counted, the sub-level labels corresponding to the power consumption data are determined, the plurality of sub-level labels are obtained, the power consumption characteristics of the sub-level labels can be extracted, the corresponding main-level labels are determined according to the power consumption characteristics, and under the condition that the number of the sub-level labels included in the main-level labels is larger than the preset threshold value, the main-level labels can reflect the power consumption condition of the target account, so that the main-level labels are displayed in the preset interface.
As an optional embodiment, after the main label is displayed on the predetermined interface of the terminal, the target account may also view a plurality of sub-labels included in the main label to display the comprehensive power consumption summary information, which is helpful for the target account to clearly know own power consumption habits, contribution conditions, and the like.
Based on the above embodiments and alternative embodiments, an alternative implementation is provided, which is described in detail below.
In the related technology, the label granularity is large and not fine enough, the dynamic index cannot be reflected, the coverage dimension is not perfect enough, and the index threshold value division rationality also needs to be improved.
In view of this, an optional embodiment of the present invention provides a data processing method, where a user power consumption behavior is analyzed through multi-source multi-dimensional power consumption data, and multiple multidimensional sub-level tags of power, power charges, payment, subsidy, energy saving and emission reduction, behavior, and the like are mined through statistical analysis, cluster analysis, and other methods, where the tags may be determined according to basic information, annual bills, and energy saving and emission reduction contributions, and data in the power consumption behavior to reflect a power consumption situation of the user. After the sub-level labels are obtained, the sub-level labels can be upgraded to main-level labels, and a user label system with comprehensive characteristics, strong usability and high accuracy is constructed. The following detailed description of alternative embodiments of the invention:
s1, acquiring the power consumption data of the user and the data type of the power consumption data;
the electricity consumption data can include basic information, annual bills, energy conservation and emission reduction contributions, electricity consumption behaviors and the like. In each category, various data are included, for example, various data such as the following are also included in the above-described broad category: the method comprises the following steps of account electricity consumption basic information, daily average electricity quantity data of account electricity consumption, peak section electricity quantity data, valley electricity quantity data, electricity charge, payment balance, unit area heating electricity consumption, coal consumption reduction data, equivalent tree planting and plant number data, electricity consumption ratio data of working days and non-working days and the like.
To unify the format of the data, the data may first be preprocessed according to the data type. In the case of a missing power usage data, the power usage data may also be filled in. For non-numerical data, the data can be filled by using self attributes, or other types of electricity utilization data can be called, and the electricity utilization data is analyzed and compared to deduce the missing data. The numerical data may be preprocessed by averaging, interpolation, preceding and following N-bit data similarity, or threshold definition. When the numerical power consumption data is missing, the processing can be divided into a plurality of cases, for example, when the missing numerical data is continuous data such as the monthly total power consumption, the monthly valley power consumption, the daily total power consumption, and the daily valley power consumption, the missing data has a certain correlation with the historical data such as the monthly total power consumption, the monthly valley power consumption, the daily total power consumption, and the daily valley power consumption of the account, the processing method can be to fill the missing data by using the next power consumption data, the previous two power consumption data mean values, the next two power consumption data mean values, the previous and next power consumption data mean values, and the interpolation filling according to the actual situation, and for some abnormal power consumption data, the correction can be performed by combining the historical power consumption data of the account. And when other conditions of the numerical data occur, corresponding processing is also carried out, for example, for the condition that the numerical data have negative values, in the condition, the absolute value of the numerical data is taken, whether the absolute value is greater than the maximum value of the non-negative electricity consumption data of the user in the month is judged, if so, the average value is used for filling, and otherwise, the absolute value is used for filling. And for the condition that the numerical data has an extreme value, setting an upper limit threshold and a lower limit threshold, if the numerical value is in the data range, retaining the data, and otherwise, deleting the data.
S2, constructing a user label system;
the system comprises a label system, a label system and a server, wherein the label system comprises a sub-label and a main label, the sub-label comprises a basic label and a high-order label, the basic label is generally a label of non-numerical data, represents the basic attribute of account electricity consumption and can be directly obtained from original electricity consumption data; the high-order label is generally a label of numerical data, and shows the electricity utilization characteristics of account electricity utilization, so that the electricity utilization conditions of users in different dimensions are reflected. The construction of the base tag and the higher-order tag is described as follows:
basic label: the underlying attributes of the electricity usage data are characterized. Such as user name, user address, user number, time of first modification, etc.
High-order labeling: and (4) acquiring a high-order label by adopting statistical analysis, data conversion and cluster analysis methods in combination with the service requirements. For numerical data, after numerical processing, obtaining a critical value of each type of interval in a high-order tag according to the arrangement position of the current electricity utilization data in all the electricity utilization data, judging which interval the arrangement position of the numerical data belongs to, and further obtaining the high-order tag corresponding to the interval. For example, percentile and statistical analysis may be performed on numerical data, location intervals of power consumption data of different power consumption types may be divided, and the location intervals may be obtained according to arrangement positions of current power consumption data in all power consumption data. When the percentile calculation is performed on the numerical data, the following method may be adopted.
Percentiles refer to a set of n observations, arranged by numerical size. For example, the value at the p% position is called the p percentile, and the percentage of observations with the same value is the same. Wherein j represents the jth user, N represents the total number of users, and nj represents the number of users smaller than the value of the user j in a certain index. The corresponding percentages of users with the same value of a certain index are consistent.
And S3, displaying the constructed user label system to the user.
The label calculation result is obtained through the framework calculation of big data constructed based on the Python technology, a digital bill is stored and generated and displayed on an interface of a terminal, wherein the digital bill comprises the label, the label of a user can be better shown through the form of the digital bill, and the user can clearly know the electricity utilization habit, the contribution condition and the like of the user.
Through the optional implementation mode, the beneficial effects that various label classifications can be obtained by acquiring the electricity utilization data of the user and combining the electricity utilization behaviors of the user, for example, electricity utilization level, energy conservation and emission reduction, electricity utilization behaviors, electricity utilization suggestions and the like are built, a user label system is built, and labels are displayed so as to display comprehensive electricity utilization summary information to the user, so that the user can clearly know own electricity utilization habits, contribution conditions and the like.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
According to an embodiment of the present invention, there is also provided an apparatus for implementing the data processing method, and fig. 2 is a block diagram of a structure of the data processing apparatus according to the embodiment of the present invention, as shown in fig. 2, the apparatus includes: an acquisition module 202, a determination module 204, a summarization module 206 and a presentation module 208, which are described in detail below.
The obtaining module 202 is configured to obtain first electricity data of a target account in a target area and a data type of the first electricity data, where the data type includes numeric data and non-numeric data; a determining module 204, connected to the obtaining module 202, configured to determine, based on the data type of the first electrical data, a sub-level tag corresponding to the first electrical data; a summarization module 206, connected to the determination module 204, for summarizing the sub-level labels into the corresponding main-level labels; a presentation module 208, connected to the summarization module 206, is configured to present the main level label in a predetermined interface if the number of the sub level labels included in the main level label is greater than a predetermined threshold.
It should be noted here that the acquiring module 202, the determining module 204, the summarizing module 206 and the presenting module 208 correspond to steps S102 to S108 in the implementation of the data processing method, and a plurality of modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in the above embodiment 1.
Example 3
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a processor; a memory for storing processor executable instructions, wherein the processor is configured to execute the instructions to implement the data processing method of any of the above.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, wherein instructions of the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform any one of the data processing methods described above.
Example 5
According to another aspect of the embodiments of the present invention, there is also provided a computer program product including a computer program, wherein the computer program is configured to implement any one of the data processing methods described above when executed by a processor.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A data processing method, comprising:
acquiring first electricity data of a target account in a target area and a data type of the first electricity data, wherein the data type comprises numerical data and non-numerical data;
determining a sub-level label corresponding to the first electric data based on the data type of the first electric data;
the sub-level labels are induced into corresponding main-level labels;
displaying the primary label in a predetermined interface if the number of child labels included in the primary label is greater than a predetermined threshold.
2. The method of claim 1, wherein determining the corresponding sub-level label of the first electronic data based on the data type of the first electronic data comprises:
determining the electricity utilization type represented by the first electricity data when the data type of the first electricity data is numerical data;
arranging second electricity data of all accounts in the target area according to the electricity utilization type and a preset rule, wherein the second electricity data are electricity data belonging to the electricity utilization type in all the electricity utilization data, and the all the electricity data are electricity data of all the accounts in the target area;
and determining a sublevel label of the first electric data according to the arrangement position of the first electric data in the second electric data.
3. The method of claim 2, wherein determining the sublevel label of the first electrical data according to the arrangement position of the first electrical data in the second electrical data comprises:
determining a position interval to which the arrangement position belongs according to the arrangement position of the first electric data in the second electric data;
and determining a sublevel label of the first electronic data according to the position interval.
4. The method of claim 1, wherein determining the corresponding sub-level label of the first electronic data based on the data type of the first electronic data comprises:
and under the condition that the data type of the first electric data is non-numerical data, determining a sub-level label corresponding to the first electric data according to the first electric data.
5. The method of claim 1, wherein the obtaining the first electricity data and the data type of the first electricity data of the target account in the target area comprises:
in the event that the first electrical data is missing, the first electrical data is populated.
6. The method of claim 1, wherein the generalizing the sub-level labels into corresponding main-level labels comprises:
determining the electricity utilization characteristics corresponding to the sub-level labels;
and according to the electricity utilization characteristics, the sub-level labels are summarized into the corresponding main-level labels.
7. A data processing apparatus, comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring first electric data of a target account in a target area and a data type of the first electric data, and the data type comprises numerical data and non-numerical data;
the determining module is used for determining a sub-level label corresponding to the first electric data based on the data type of the first electric data;
the induction module is used for inducing the sub-level labels into corresponding main-level labels;
and the display module is used for displaying the main-level label in a preset interface under the condition that the number of the sub-level labels included in the main-level label is greater than a preset threshold value.
8. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the data processing method of any one of claims 1 to 6.
9. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the data processing method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the data processing method of any one of claims 1 to 6 when executed by a processor.
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