阅读说明：本技术 一种电力营销数据交互方法、系统及存储介质 (Electric power marketing data interaction method, system and storage medium ) 是由 黄达文 黄敏清 黎康萍 张茵翠 梁维铿 陈露 谢雅端 陈诒钊 吴叶辉 于 2021-08-23 设计创作，主要内容包括：本申请公开了一种电力营销数据交互方法、系统及存储介质,本方法通过用户侧配电系统采集电力营销数据,能够实时获得电力营销数据,提高电力营销数据的实时性,并将电力营销数据存入至MMIS数据库中,利用决策树算法对电力营销数据进行数据特征提取,输出文本信息,可以提高筛选数据的效率,同时,提取文本信息中的关键词,赋予关键词的权重,根据关键词的权重对关键词进行排序,并将排序后的关键词上传至交互终端,调用渲染工具对所述关键词进行渲染,从而实现可视化,提高了查阅效率,并能够实时进行信息交互,提高了用户体验感。(The application discloses an electric power marketing data interaction method, an electric power marketing data interaction system and a storage medium, the electric power marketing data are collected through a user side power distribution system, the electric power marketing data can be obtained in real time, the real-time performance of the electric power marketing data is improved, the electric power marketing data are stored in an MMIS database, data characteristics of the electric power marketing data are extracted through a decision tree algorithm, text information is output, the efficiency of screening the data can be improved, meanwhile, keywords in the text information are extracted, the keywords are given weights, the keywords are sequenced according to the weights of the keywords, the sequenced keywords are uploaded to an interaction terminal, a rendering tool is called to render the keywords, visualization is achieved, the lookup efficiency is improved, information interaction can be carried out in real time, and the user experience is improved.)

1. A power marketing data interaction method is characterized by comprising the following steps:

acquiring power marketing data based on a user side power distribution system, and storing the power marketing data into an MMIS database;

based on the MMIS database, performing data feature extraction on the electric power marketing data by using a decision tree algorithm, decoding the data features through a language command model, and outputting corresponding text information;

performing word segmentation processing on the text information, and extracting keywords from word segmentation results based on a pre-established electric power dictionary;

determining the weight of the keywords according to a preset weight assignment rule, and sequencing the keywords according to the weight of the keywords;

and uploading the sorted keywords to an interaction terminal, and calling a rendering tool to render the keywords.

2. The power marketing data interaction method according to claim 1, wherein the step of collecting power marketing data based on the user-side power distribution system and storing the power marketing data into the MMIS database specifically comprises:

acquiring electric power marketing data in real time based on the user side power distribution system, wherein the electric power marketing data comprise electricity consumption, electricity charge, active power, reactive power and abnormal alarm information;

performing data cleaning on the electric power marketing data, wherein the data cleaning mode comprises stop words and synonym combination;

and storing the power marketing data subjected to data cleaning into the MMIS database.

3. The electricity marketing data interaction method of claim 1, further comprising:

and clustering the power marketing data stored in the MMIS database based on a k-Means clustering algorithm so as to classify the power marketing data.

4. The power marketing data interaction method of claim 3, wherein the step of performing data feature extraction on the power marketing data by using a decision tree algorithm based on the MMIS database, decoding the data features through a language command rule, and outputting corresponding text information comprises the steps of:

calculating an empirical entropy based on the MMIS database by:

wherein H (D) is experience entropy, k is the type of target variable, i is the type number of the electric power marketing data, D is the number of samples, C_kThe number of samples of the type k;

calculating information gain according to the empirical entropy, taking the maximum information gain as a root node of the decision tree model, and taking the minimum information gain as a leaf node of the decision tree model, thereby constructing the decision tree model;

extracting data characteristics from the power marketing data by using the decision tree model;

and decoding the data characteristics through a language command model, and outputting corresponding text information.

5. The electricity marketing data interaction method of claim 3, further comprising:

the text information is converted into binary data through UTF-8 coding, the binary data is converted into decimal data, the decimal data is converted into json data, and the json data is uploaded to a designated remote server;

and receiving the json data through the designated remote server, and uploading the json data to a cloud.

6. The electric marketing data interaction method of claim 3, wherein the step of performing word segmentation processing on the text information and extracting keywords from the segmentation result based on a pre-established electric power dictionary further comprises:

acquiring power marketing vocabulary data, wherein the power marketing vocabulary data comprises daily vocabularies and professional vocabularies;

preprocessing the electric power marketing vocabulary data;

and establishing a power dictionary based on the preprocessed power marketing vocabulary data.

7. The electric marketing data interaction method according to claim 1, wherein the weight of the keyword is determined according to a preset weight assignment rule, and the step of ranking the keyword according to the weight of the keyword specifically comprises:

extracting set characteristics of the keywords, wherein the set characteristics comprise part-of-speech characteristics, TF-IDF characteristics, word length characteristics and mark hot word characteristics;

respectively scoring the set characteristics of the keywords based on an expert database, and summing the scoring results to obtain the comprehensive weight of the keywords;

and performing descending arrangement on the keywords according to the magnitude of the comprehensive weight of the keywords.

8. The electric marketing data interaction method according to claim 1, wherein the step of uploading the sorted keywords to an interaction terminal and the step of calling a rendering tool to render the keywords specifically comprises:

sequentially uploading the sequenced keywords to a notification interface of an interactive terminal;

and calling a rendering tool to render the keywords in different colors.

9. An electricity marketing data interaction system, comprising:

the data acquisition and storage module is used for acquiring power marketing data based on a user side power distribution system and storing the power marketing data into an MMIS database;

the text output module is used for extracting the data characteristics of the power marketing data by using a decision tree algorithm based on the MMIS database, decoding the data characteristics through a language command model and outputting corresponding text information;

the keyword extraction module is used for performing word segmentation processing on the text information and extracting keywords from word segmentation results based on a pre-established electric power dictionary;

the sorting module is used for determining the weight of the keywords according to a preset weight assignment rule and sorting the keywords according to the weight of the keywords;

and the rendering module is used for uploading the sequenced keywords to an interaction terminal and calling a rendering tool to render the keywords.

10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the steps of the power marketing data interaction method of any one of claims 1 to 8.

Technical Field

The present application relates to the field of power data interaction technologies, and in particular, to a power marketing data interaction method, system, and storage medium.

Background

At present, the scale and the technical level of an electric power system become one of the important marks of the national economic development level, and the appearance of the electric power system promotes the change of various social fields, so that the electric energy which is efficient, pollution-free, convenient to use and easy to regulate and control is widely applied. With the continuous expansion of power grids, more and more power equipment are provided, so that how to accurately and efficiently manage power marketing information becomes one of the key research directions.

At present, manage with artifical processing mode to electric power marketing information many, and electric power marketing information need carry out processes such as accurate screening, classification, and manage electric power marketing information both time-consuming and hard through the manual work, lead to work efficiency lower, simultaneously, the user still needs the manual work to look up when looking up electric power marketing information, and this makes and looks up the efficiency lower, is difficult to guarantee the interactive real-time of information, causes user experience to feel relatively poor.

Disclosure of Invention

The application provides a power marketing data interaction method, a power marketing data interaction system and a storage medium, which are used for solving the technical problems of low information management working efficiency, low lookup efficiency, poor information interaction real-time performance and poor user experience.

In view of this, the first aspect of the present application provides a power marketing data interaction method, including the following steps:

acquiring power marketing data based on a user side power distribution system, and storing the power marketing data into an MMIS database;

based on the MMIS database, performing data feature extraction on the electric power marketing data by using a decision tree algorithm, decoding the data features through a language command model, and outputting corresponding text information;

performing word segmentation processing on the text information, and extracting keywords from word segmentation results based on a pre-established electric power dictionary;

determining the weight of the keywords according to a preset weight assignment rule, and sequencing the keywords according to the weight of the keywords;

and uploading the sorted keywords to an interaction terminal, and calling a rendering tool to render the keywords.

Optionally, the step of collecting power marketing data based on the user-side power distribution system and storing the power marketing data into the MMIS database specifically includes:

acquiring electric power marketing data in real time based on the user side power distribution system, wherein the electric power marketing data comprise electricity consumption, electricity charge, active power, reactive power and abnormal alarm information;

performing data cleaning on the electric power marketing data, wherein the data cleaning mode comprises stop words and synonym combination;

and storing the power marketing data subjected to data cleaning into the MMIS database.

Optionally, the method further comprises:

and clustering the power marketing data stored in the MMIS database based on a k-Means clustering algorithm so as to classify the power marketing data.

Optionally, the step of extracting data features of the power marketing data by using a decision tree algorithm based on the MMIS database, decoding the data features by using a language command rule, and outputting corresponding text information includes:

calculating an empirical entropy based on the MMIS database by:

wherein H (D) is experience entropy, k is the type of target variable, i is the type number of the electric power marketing data, D is the number of samples, C_kThe number of samples of the type k;

calculating information gain according to the empirical entropy, taking the maximum information gain as a root node of the decision tree model, and taking the minimum information gain as a leaf node of the decision tree model, thereby constructing the decision tree model;

extracting data characteristics from the power marketing data by using the decision tree model;

and decoding the data characteristics through a language command model, and outputting corresponding text information.

Optionally, the method further comprises:

the text information is converted into binary data through UTF-8 coding, the binary data is converted into decimal data, the decimal data is converted into json data, and the json data is uploaded to a designated remote server;

and receiving the json data through the designated remote server, and uploading the json data to a cloud.

Optionally, the step of performing word segmentation processing on the text information and extracting keywords from the segmentation result based on a pre-established electric power dictionary further includes:

acquiring power marketing vocabulary data, wherein the power marketing vocabulary data comprises daily vocabularies and professional vocabularies;

preprocessing the electric power marketing vocabulary data;

and establishing a power dictionary based on the preprocessed power marketing vocabulary data.

Optionally, the determining the weight of the keyword according to a preset weight assignment rule, and the ranking the keyword according to the weight of the keyword specifically includes:

extracting set characteristics of the keywords, wherein the set characteristics comprise part-of-speech characteristics, TF-IDF characteristics, word length characteristics and mark hot word characteristics;

respectively scoring the set characteristics of the keywords based on an expert database, and summing the scoring results to obtain the comprehensive weight of the keywords;

and performing descending arrangement on the keywords according to the magnitude of the comprehensive weight of the keywords.

Optionally, the step of uploading the sorted keywords to an interaction terminal, and calling a rendering tool to render the keywords specifically includes:

sequentially uploading the sequenced keywords to a notification interface of an interactive terminal;

and calling a rendering tool to render the keywords in different colors.

In a second aspect, the present invention provides an electric power marketing data interaction system, including:

the data acquisition and storage module is used for acquiring power marketing data based on a user side power distribution system and storing the power marketing data into an MMIS database;

the text output module is used for extracting the data characteristics of the power marketing data by using a decision tree algorithm based on the MMIS database, decoding the data characteristics through a language command model and outputting corresponding text information;

the keyword extraction module is used for performing word segmentation processing on the text information and extracting keywords from word segmentation results based on a pre-established electric power dictionary;

the sorting module is used for determining the weight of the keywords according to a preset weight assignment rule and sorting the keywords according to the weight of the keywords;

and the rendering module is used for uploading the sequenced keywords to an interaction terminal and calling a rendering tool to render the keywords.

In a third aspect, the present invention provides a computer readable storage medium, having stored thereon a computer program, which when executed by a processor, implements the steps of the power marketing data interaction method as described above.

According to the technical scheme, the invention has the following advantages:

according to the method, the power marketing data are acquired through the power distribution system on the user side, the power marketing data can be obtained in real time, the real-time performance of the power marketing data is improved, the power marketing data are stored in the MMIS database, data features of the power marketing data are extracted through a decision tree algorithm, text information is output, the efficiency of data screening can be improved, meanwhile, keywords in the text information are extracted, the weight of the keywords is given, the keywords are ranked according to the weight of the keywords, the ranked keywords are uploaded to the interactive terminal, and a rendering tool is called to render the keywords, so that visualization is achieved, the lookup efficiency is improved, information interaction can be carried out in real time, and the user experience is improved.

Drawings

Fig. 1 is a flowchart of an electric power marketing data interaction method provided in an embodiment of the present application;

fig. 2 is a schematic structural diagram of an electric power marketing data interaction system according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.

At present, manage with artifical processing mode to electric power marketing information many, and electric power marketing information need carry out processes such as accurate screening, classification, and manage electric power marketing information both time-consuming and hard through the manual work, lead to work efficiency lower, simultaneously, the user still needs the manual work to look up when looking up electric power marketing information, and this makes and looks up the efficiency lower, is difficult to guarantee the interactive real-time of information, causes user experience to feel relatively poor.

Therefore, referring to fig. 1, the method for interacting electricity marketing data provided by the present invention includes the following steps:

s1, collecting power marketing data based on the user side power distribution system, and storing the power marketing data into an MMIS database;

it should be noted that an MMIS (Multimedia Management Information System) database includes a basic database, a decision database, and a shared database; the basic database is important asset information of service information in each service subsystem and is a basis for establishing other databases; the decision database enables enterprise decision makers to execute decision making and calculation common data. The database is used as a core part of the power marketing management system, and MMIS at each stage are complicated by interactive data of the Internet of things; the shared database has the advantages of wide application range, strong comprehensiveness and more data types.

S2, based on the MMIS database, extracting data characteristics of the electric power marketing data by using a decision tree algorithm, decoding the data characteristics through a pre-established language command model, and outputting corresponding text information;

s3, performing word segmentation processing on the text information, and extracting keywords from the word segmentation result based on a pre-established electric power dictionary;

s4, determining the weight of the keywords according to a preset weight assignment rule, and sequencing the keywords according to the weight of the keywords;

and S5, uploading the sorted keywords to an interactive terminal, and calling a rendering tool to render the keywords.

It should be noted that, in the method for interacting power marketing data provided by this embodiment, power marketing data is collected through a power distribution system on a user side, the power marketing data can be obtained in real time, the real-time performance of the power marketing data is improved, the power marketing data is stored in an MMIS database, data feature extraction is performed on the power marketing data by using a decision tree algorithm, text information is output, the efficiency of screening data can be improved, meanwhile, keywords in the text information are extracted, the keywords are given weights, the keywords are sorted according to the weights of the keywords, the sorted keywords are uploaded to an interaction terminal, and a rendering tool is called to render the keywords, so that visualization is realized, the lookup efficiency is improved, information interaction can be performed in real time, and the user experience is improved.

The following is a detailed description of an embodiment of a power marketing data interaction method provided by the present invention.

The invention provides an electric power marketing data interaction method, which comprises the following steps:

s100, acquiring power marketing data based on a user side power distribution system, and storing the power marketing data into an MMIS database;

it should be noted that an MMIS (Multimedia Management Information System) database includes a basic database, a decision database, and a shared database; the basic database is important asset information of service information in each service subsystem and is a basis for establishing other databases; the decision database enables enterprise decision makers to execute decision making and calculation common data. The database is used as a core part of the power marketing management system, and MMIS at each stage are complicated by interactive data of the Internet of things; the shared database has the advantages of wide application range, strong comprehensiveness and more data types.

Meanwhile, the user side power distribution system can comprise an electricity consumption meter, a charger and a power marketing service platform.

In this embodiment, step S100 specifically includes:

s101, acquiring power marketing data in real time based on a user side power distribution system, wherein the power marketing data comprises power consumption, power charge, active power, reactive power and abnormal alarm information;

s102, carrying out data cleaning on the electric power marketing data, wherein the data cleaning mode comprises stop words and synonym combination;

and S103, storing the power marketing data subjected to data cleaning into an MMIS database.

And S200, clustering the power marketing data stored in the MMIS database based on a k-Means clustering algorithm, thereby classifying the power marketing data.

S300, based on an MMIS database, performing data feature extraction on the electric power marketing data by using a decision tree algorithm, decoding the data features through a pre-established language command model, and outputting corresponding text information;

in this embodiment, step S300 specifically includes:

s301, calculating empirical entropy based on an MMIS database by the following formula:

wherein H (D) is experience entropy, k is the type of target variable, i is the type number of the electric power marketing data, D is the number of samples, C_kThe number of samples of the type k;

s302, calculating information gain according to the empirical entropy, taking the maximum information gain as a root node of the decision tree model, and taking the minimum information gain as a leaf node of the decision tree model, so as to construct the decision tree model;

it should be noted that the user selects the feature with the largest information gain as the current splitting feature.

Assuming that the empirical conditional entropy of the feature X on the data base set D is calculated to be H (D | X), calculating the information gain g of the feature X according to the empirical entropy: g (D, X) ═ H (D) -H (D/X).

S303, extracting data characteristics from the power marketing data by using a decision tree model;

s304, decoding the data characteristics through a pre-established language command model, and outputting corresponding text information.

It should be noted that the language command model is decoded by using a Decoder in the seq2seq + attribute model, wherein the Decoder decodes the data features by using LSTM and attribute mechanisms.

In the decoding and searching process, under the condition of giving data characteristics, finding the most possible corresponding phrase process, wherein the corresponding phrase is a keyword under the data type, such as electric power marketing data corresponding to electric quantity, cost, line loss and the like, in the process, calculating the score of each corresponding classifier, and multiplying the score by a target likelihood function, wherein the target likelihood function is the target function of seq2seq + attribute model; then decoding the data characteristics by using a Viterbi algorithm to obtain the maximum value of the target likelihood function; and maximizing the conditional probability p in the Decode stage, outputting the text at the moment when the conditional probability p reaches the maximum value, namely the recognized text information, and outputting the text information by an output end of the decoder network.

In a specific embodiment, after outputting the corresponding text information, the method further comprises:

s305, text information is converted into binary data through UTF-8 coding, the binary data is converted into decimal data, the decimal data is converted into json data, and the json data are uploaded to a designated remote server;

s306, json data are received through the designated remote server, and are uploaded to the cloud.

S400, performing word segmentation processing on the text information, and extracting keywords from word segmentation results based on a pre-established electric power dictionary;

note that, before step S400, the method includes:

s401, acquiring power marketing vocabulary data, wherein the power marketing vocabulary data comprises daily vocabularies and professional vocabularies;

s402, preprocessing the electric power marketing vocabulary data;

ways of preprocessing include decommissioning words, nonsense text filtering, and synonym merging.

And S403, establishing a power dictionary based on the preprocessed power marketing vocabulary data.

S500, determining the weight of the keywords according to a preset weight assignment rule, and sequencing the keywords according to the weight of the keywords;

in this embodiment, step S500 specifically includes:

s501, extracting set characteristics of the keywords, wherein the set characteristics comprise part-of-speech characteristics, TF-IDF characteristics, word length characteristics and mark hot word characteristics;

it should be noted that the sign hot word feature is a sign hot word set by the user, when the sign hot word feature is extracted, the sign hot word in the keyword needs to be screened according to the self-set sign hot word library, and the sign hot word is a sign word that needs to be notified and processed urgently, such as a warning word, a data abnormality word, a fault word, and the like.

S502, respectively scoring the set characteristics of the keywords based on an expert database, and summing the scoring results to obtain the comprehensive weight of the keywords;

it should be noted that a series of scoring rules can be set in the expert database, and by scoring the part-of-speech characteristics, the TF-IDF characteristics, the word length characteristics, and the flag hotword characteristics, in a specific implementation, the scoring proportion of the flag hotword characteristics is higher than that of other characteristics, so that a higher priority level of an emergency is realized, and a user can be notified of emergency treatment in time.

And S503, arranging the keywords in a descending order according to the comprehensive weight of the keywords.

S600, uploading the sorted keywords to an interactive terminal, and calling a rendering tool to render the keywords.

In this embodiment, step S600 specifically includes:

s601, sequentially uploading the sorted keywords to a notification interface of the interactive terminal;

it should be noted that the interactive terminal may be a mobile phone, a computer, or a browser, and the keywords may be uploaded to the notification interface of the interactive terminal in the form of a notification bar message.

And S602, calling a rendering tool to render the keywords in different colors.

In a specific application process, for example, an urgent keyword (such as a hot word) may be rendered in red, and a normal keyword may be rendered in green.

The above is a detailed description of an embodiment of the power marketing data interaction method provided by the present invention, and the following is a detailed description of an embodiment of the power marketing data interaction system provided by the present invention.

For convenience of understanding, please refer to fig. 2, the present invention provides an electric power marketing data interaction system, including:

the data acquisition and storage module 100 is used for acquiring power marketing data based on a user side power distribution system and storing the power marketing data into an MMIS database;

the text output module 200 is used for extracting data characteristics of the power marketing data by using a decision tree algorithm based on an MMIS database, decoding the data characteristics through a pre-established language command model and outputting corresponding text information;

the keyword extraction module 300 is configured to perform word segmentation processing on the text information, and extract keywords from a word segmentation result based on a pre-established electric power dictionary;

the ranking module 400 is configured to determine weights of the keywords according to a preset weight assignment rule, and rank the keywords according to the weights of the keywords;

and a rendering module 500, configured to upload the sorted keywords to an interactive terminal, and invoke a rendering tool to render the keywords.

Further, the data acquisition and storage module specifically comprises:

the acquisition submodule is used for acquiring electric marketing data in real time based on a user side power distribution system, wherein the electric marketing data comprises electricity consumption, electricity charge, active power, reactive power and abnormal alarm information;

the data cleaning submodule is used for cleaning the data of the electric power marketing data, and the data cleaning mode comprises stop words and synonym combination;

and the storage sub-module is used for storing the power marketing data subjected to data cleaning into the MMIS database.

Further, the system also includes:

and the classification module is used for clustering the electric power marketing data stored in the MMIS database based on a k-Means clustering algorithm so as to classify the electric power marketing data.

Further, the text output module specifically includes:

an empirical entropy calculation module for calculating an empirical entropy based on the MMIS database by:

wherein H (D) is experience entropy, k is the type of target variable, i is the type number of the electric power marketing data, D is the number of samples, C_kThe number of samples of the type k;

the construction module is used for calculating information gain according to the empirical entropy, taking the maximum information gain as a root node of the decision tree model and taking the minimum information gain as a leaf node of the decision tree model so as to construct the decision tree model;

the characteristic extraction module is used for extracting data characteristics from the power marketing data by using the decision tree model;

and the decoding module is used for decoding the data characteristics through a pre-established language command model and outputting corresponding text information.

Further, the system also includes:

the conversion module is used for converting text information into binary data through UTF-8 coding, converting the binary data into decimal data, converting the decimal data into json data and uploading the json data to a specified remote server;

and the uploading module is used for receiving the json data through the specified remote server and uploading the json data to the cloud.

Further, the system also includes:

the system comprises a vocabulary acquisition module, a power marketing vocabulary acquisition module and a power marketing vocabulary management module, wherein the vocabulary acquisition module is used for acquiring power marketing vocabulary data which comprise daily vocabularies and professional vocabularies;

the preprocessing module is used for preprocessing the electric power marketing vocabulary data;

and the dictionary establishing module is used for establishing a power dictionary based on the preprocessed power marketing vocabulary data.

Further, the sorting module specifically includes:

the characteristic submodule is used for extracting set characteristics of the keywords, wherein the set characteristics comprise part-of-speech characteristics, TF-IDF characteristics, word length characteristics and mark hot word characteristics;

the scoring submodule is used for respectively scoring the set characteristics of the keywords based on the expert database, and summing the scoring results to obtain the comprehensive weight of the keywords;

and the sorting submodule is used for performing descending sorting on the keywords according to the comprehensive weight of the keywords.

Further, the rendering module specifically includes:

the notification sub-module is used for sequentially uploading the sequenced keywords to a notification interface of the interactive terminal;

and the color rendering submodule is used for calling a rendering tool to render the keywords in different colors.

It should be noted that the power marketing data interaction system provided in this embodiment is consistent with the work flow of the power marketing data interaction method provided above, and details are not repeated here.

The electric power marketing data interaction system provided by the embodiment collects electric power marketing data through a user side power distribution system, the electric power marketing data can be obtained in real time, the real-time performance of the electric power marketing data is improved, the electric power marketing data is stored in an MMIS database, data feature extraction is carried out on the electric power marketing data through a decision tree algorithm, text information is output, the efficiency of screening the data can be improved, meanwhile, keywords in the text information are extracted, the keywords are endowed with weights, the keywords are sequenced according to the weights of the keywords, the sequenced keywords are uploaded to an interaction terminal, a rendering tool is called to render the keywords, visualization is achieved, the lookup efficiency is improved, information interaction can be carried out in real time, and the user experience is improved.

The invention also provides a computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the power marketing data interaction method as described above.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of 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, devices or units, and may be in an electrical, mechanical 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 network 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 application 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 application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for executing all or part of the steps of the method described in the embodiments of the present application through a computer device (which may be a personal computer, a server, or a network device). And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.