Data analysis management method and system integrating multi-channel power supply service appeals

Abstract

The invention relates to the technical field of data analysis, and discloses a data analysis management method and system integrating multi-channel power supply service appeals, and the method comprises the steps: crawling power grid internal customer appeal data and power grid external customer appeal data based on an RPA technology; analyzing the power grid internal customer appeal data and the power grid external customer appeal data based on an NLP technology, and obtaining power supply service appeal work order information data; carrying out processing and operational analysis on the power supply service appeal work order information data based on an ETL technology to obtain an analysis result; and quantitative power supply appeal display and early warning of the analysis result are realized by using an SPA technology. According to the invention, intelligent management is realized, the data processing efficiency is improved, the accuracy of results is ensured, and the labor cost of enterprises is reduced.

Description

Technical Field

[0001] The present invention relates to the field of data analysis technology, and in particular to a data analysis management method and system for integrating multi-channel power supply service demands. Background Art

[0002] Customers are the cornerstone of a company's survival and development, and their satisfaction and loyalty are directly related to the company's performance and brand image. Therefore, companies pay great attention to customer feedback, especially complaints, because they directly reflect customers' dissatisfaction and expectations of the company's products or services. In recent years, the number of customer complaints and reports received by the power supply bureau has shown certain fluctuations. For example, in some months, the number of complaints and reports may increase due to factors such as weather changes and equipment failures. At the same time, as customers' requirements for power supply services continue to increase, some sensitive complaints also reflect problems in power supply services.

[0003] At present, in addition to receiving customer demands through their own telephone service hotlines, power supply bureaus in various cities also receive power supply service demands from channels including government hotlines, digital urban management, civilization offices, and government websites at all levels. The current technical means for statistics and analysis of power supply service demands are mainly based on single internal work order data from the company's internal marketing management system. There is a lack of technical means to analyze the above cross-platform and multi-channel comprehensive demand data, but often customer cross-platform demands represent an early warning of escalating demand risks.

[0004] At present, the power supply bureaus mainly handle customer appeal management through manual means, which requires manual analysis and export of data from channels such as the internal marketing system of the power grid, government hotlines, digital urban management, the Civilization Office, and government websites at all levels, and then manual screening based on the summarized appeal information to select key appeal issues for supervision. This method of processing data requires a lot of time and energy, especially when the amount of data is large, and the efficiency is extremely low; human factors may cause errors in the process of data export, collation and analysis, affecting the accuracy of the results; professional analysts are required to operate, which requires high professional literacy of personnel and increases the human cost of the enterprise.

[0005] Therefore, in order to further improve the quality of power supply services with existing resources, it is urgently necessary to study cross-platform power supply demand analysis technology, aggregate multi-channel demand data and automatically identify key demands, so as to enable service dispatch managers to make timely management and control decisions on service demands and reduce the risk of customer demand escalation. Summary of the invention

[0006] The present invention aims to at least solve the existing technical problems that the efficiency is extremely low when the data volume is large; human factors may cause errors in the data export, collation and analysis process, affecting the accuracy of the results; professional analysts are needed to operate, which has high requirements on the business literacy of the personnel and increases the human cost of the enterprise.

[0007] To this end, an object of the present invention is to propose a data analysis management method for integrating multi-channel power supply service demands, comprising the following steps:

[0008] Based on RPA technology, crawl the customer demand data inside the power grid and the customer demand data outside the power grid;

[0009] Analyze the customer demand data inside the power grid and the customer demand data outside the power grid based on NLP technology to obtain power supply service demand work order information data;

[0010] Based on the ETL technology, the power supply service request work order information data is processed and analyzed to obtain the analysis results;

[0011] SPA technology is used to realize the quantitative power supply demand display and early warning of the analysis results.

[0012] Furthermore, based on RPA technology, we crawl the customer demand data inside and outside the power grid, including:

[0013] Configure the application scenarios of RPA technology and clarify the channel data source;

[0014] Designing a rule flow for the channel data source;

[0015] According to the rule process, various interface elements of the channel data source are identified, and human operations are simulated to achieve the acquisition of the customer demand data inside the power grid and the customer demand data outside the power grid.

[0016] Furthermore, the power supply service request work order information data is processed and analyzed based on the ETL technology to obtain analysis results, including:

[0017] Set analysis indicators according to business needs;

[0018] Processing the power supply service request work order information data;

[0019] Calculate and analyze the processed power supply service request work order information data to obtain analysis results;

[0020] Display analysis results in numerical and / or graphical form.

[0021] Furthermore, the analysis indicators include risk distribution, hot issues, regional distribution and channel distribution.

[0022] Furthermore, the power supply service request work order information data is processed, including:

[0023] The power supply service request work order information data is cleaned, converted and aggregated.

[0024] Furthermore, the processed power supply service request work order information data is calculated and analyzed to obtain analysis results, including:

[0025] Calculate the number of hot issues and analyze regional distribution.

[0026] Furthermore, the SPA technology is used to realize the quantitative power supply demand display and early warning of the analysis results, including:

[0027] Based on the power supply service request work order information data, define early warning indicators that can reflect the possibility of risk or event occurrence;

[0028] Warning thresholds and warning levels set for warning indicators;

[0029] When the warning indicator in the analysis result exceeds the warning threshold, a warning is triggered and warning information is issued to relevant management personnel.

[0030] Furthermore, based on the NLP technology, the customer demand data inside the power grid and the customer demand data outside the power grid are analyzed to obtain power supply service demand work order information data, and the power supply service demand work order information data includes:

[0031] Claim type, risk level, label, and electricity usage address.

[0032] The present invention provides a data analysis management system for integrating multi-channel power supply service demands, using any of the above-mentioned data analysis management methods for integrating multi-channel power supply service demands, including:

[0033] The data crawling module crawls the customer demand data inside and outside the power grid based on RPA technology;

[0034] A language understanding module, which analyzes the customer demand data inside the power grid and the customer demand data outside the power grid based on NLP technology to obtain power supply service demand work order information data;

[0035] The data analysis module processes and performs calculation analysis on the power supply service request work order information data based on ETL technology to obtain analysis results;

[0036] The display and early warning module uses SPA technology to realize the quantitative power supply demand display and early warning of the analysis results.

[0037] The present invention provides a data analysis management method and system for integrating multi-channel power supply service demands, which has the following beneficial effects:

[0038] The present invention crawls the internal customer demand data of the power grid and the external data of the power grid based on RPA technology, analyzes the data content based on NLP technology, and automatically manages the customer demands in a hierarchical manner. RPA technology can automatically crawl data, and NLP technology can quickly analyze a large amount of text content, significantly improving processing efficiency; RPA and NLP technologies are processed through preset rules and algorithms, reducing the possibility of human errors and improving the accuracy of analysis results. RPA can crawl data in real time or at regular intervals to ensure the timeliness of analysis and the latest data; automated processing reduces dependence on manual labor and reduces labor costs, and the application of NLP technology enables the system to automatically understand the content of customer demands, perform intelligent hierarchical management, and improve service quality and customer satisfaction; the power supply service demand work order information data is processed and analyzed based on ETL technology to obtain analysis results; finally, SPA technology is used to realize the quantitative power supply demand display and early warning of the analysis results, realizing intelligent management, improving data processing efficiency, and at the same time ensuring the accuracy of the results and reducing the labor costs of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0040] Figure 1 A flow chart of a data analysis and management method for integrating multi-channel power supply service demands according to the present invention;

[0041] Figure 2 A data collection flow chart of a data analysis management method for integrating multi-channel power supply service demands according to the present invention;

[0042] Figure 3 A data analysis and processing operation flow chart of a data analysis and management method for integrating multi-channel power supply service demands according to the present invention;

[0043] Figure 4 This is a data display warning flow chart of a data analysis management method for integrating multi-channel power supply service demands of the present invention. DETAILED DESCRIPTION

[0044] Various aspects and features of the present invention are described herein with reference to the accompanying drawings.

[0045] It should be understood that various modifications may be made to the embodiments of the present application. Therefore, the above description should not be considered as limiting, but only as an example of the embodiments. Other modifications within the scope and spirit of the present invention will occur to those skilled in the art.

[0046] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, together with the general description of the invention given above and the detailed description of the embodiments given below, serve to explain the principles of the invention.

[0047] These and other characteristics of the invention will become apparent from the following description of a preferred form of embodiment given as a non-limiting example, with reference to the accompanying drawings.

[0048] It should also be understood that, although the invention has been described with reference to some specific examples, those skilled in the art will be able to realize many other equivalent forms of the invention that have the characteristics recited in the claims and are therefore within the scope of protection defined thereby.

[0049] The above and other aspects, features and advantages of the present invention will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings.

[0050] Specific embodiments of the present invention are described hereinafter with reference to the accompanying drawings; however, it should be understood that the embodiments claimed are merely examples of the present invention, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid obscuring the present invention with unnecessary or redundant details. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present invention in a variety of ways with substantially any suitable detailed structure.

[0051] In the description of the present invention, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0052] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

[0053] Terminology explanation:

[0054] RPA: The full name is Robotic Process Automation, which is a technology that uses software robots or artificial intelligence assistants to simulate and execute repetitive, rule-defined and large-scale business process operations in a digital environment. It is not a robot in the physical sense, but a digital workflow solution.

[0055] NLP: Natural Language Processing, or natural language processing technology, is an important branch of artificial intelligence (AI) that aims to enable computers to understand and process human language, including understanding, analyzing and generating natural language text. The two core tasks of NLP are natural language understanding (NLU) and natural language generation (NLG). Natural language understanding means that computers can parse and understand the meaning, intent and contextual information in human language; natural language generation converts data or information inside the computer into natural language text that can be understood by humans.

[0056] Example

[0057] like Figure 1 , Figure 2 , Figure 3 and Figure 4 As shown, this embodiment provides a data analysis management method for integrating multi-channel power supply service demands, including the following steps:

[0058] Step S1: crawling the customer demand data inside the power grid and the customer demand data outside the power grid based on RPA technology;

[0059] Step S2: Analyze the customer demand data inside the power grid and the customer demand data outside the power grid based on NLP technology to obtain power supply service demand work order information data;

[0060] Step S3: Processing and analyzing the power supply service request work order information data based on ETL technology to obtain analysis results;

[0061] Step S4: Utilize SPA technology to realize the quantitative power supply demand display and early warning of the analysis results.

[0062] like Figure 2 As shown, according to another specific embodiment of the present invention, based on the step S1, crawling the customer demand data inside the power grid and the customer demand data outside the power grid based on the RPA technology includes:

[0063] Configure the application scenarios of RPA technology and clarify the channel data source;

[0064] Designing a rule flow for the channel data source;

[0065] According to the rule process, various interface elements of the channel data source are identified, and human operations are simulated to achieve the acquisition of the customer demand data inside the power grid and the customer demand data outside the power grid.

[0066] The present invention seamlessly integrates RPA software with a multi-channel power supply service demand data analysis and management system to achieve data interaction and process connection.

[0067] like Figure 3 As shown, according to another specific embodiment of the present invention, on the basis of step S3, the power supply service request work order information data is processed and analyzed based on the ETL technology to obtain the analysis results, including:

[0068] Set analysis indicators according to business needs;

[0069] Processing the power supply service request work order information data;

[0070] Calculate and analyze the processed power supply service request work order information data to obtain analysis results;

[0071] Display analysis results in numerical and / or graphical form.

[0072] According to another specific embodiment of the present invention, on the basis of the above embodiment, the analysis indicators include risk distribution, hot issues, regional distribution and channel distribution to achieve service digitization of all-round electric service demands.

[0073] According to another specific embodiment of the present invention, based on the above embodiment, the power supply service request work order information data is processed, including:

[0074] The power supply service request work order information data is cleaned, converted and aggregated.

[0075] According to another specific embodiment of the present invention, based on the above embodiment, the processed power supply service request work order information data is calculated and analyzed to obtain analysis results, including:

[0076] Calculate the number of hot issues and analyze regional distribution.

[0077] The present invention uses ETL technology to obtain power supply service demand data from various channels and provide it to managers; performs necessary conversion on the obtained data to make it more convenient to use and give managers a good experience; loads the data into a multi-channel power supply service demand data analysis and management system; and defines and manages the power supply service demand metadata of multiple channels, so that it can be analyzed from multiple analysis angles such as demand type, risk distribution, hot issues, regional distribution, channel distribution, etc.

[0078] like Figure 4 As shown, according to another specific embodiment of the present invention, based on the step S4, the SPA technology is used to realize the quantitative power supply demand display and early warning of the analysis result, including:

[0079] Based on the power supply service request work order information data, define early warning indicators that can reflect the possibility of risk or event occurrence;

[0080] Warning thresholds and warning levels set for warning indicators;

[0081] When the warning indicator in the analysis result exceeds the warning threshold, a warning is triggered and warning information is issued to relevant management personnel.

[0082] The present invention uses SPA technology to achieve single-page loading, front-end routing, data-driven views and front-end framework support to improve user experience, while making the display of business data more comfortable; the manager presets warning rules for channels, data or behaviors in advance, and when the system triggers the rule conditions, the warning prompt will be automatically executed.

[0083] According to another specific embodiment of the present invention, on the basis of step S2, the internal customer demand data of the power grid and the external customer demand data of the power grid are analyzed based on NLP technology to obtain power supply service demand work order information data, and the power supply service demand work order information data includes:

[0084] The demand type, risk level, label and electricity usage address are used to understand the overall situation of power supply service demand data and provide data support for standardized analysis and statistical dimensions.

[0085] The present invention uses RPA and NLP technologies to implement page elements such as buttons, text boxes, drop-down menus, etc. for the multi-channel data platform to be collected, and simulates human clicks, input and other operations; secondly, the rule flow is designed for the required data source so that it can perform tasks according to preset rules and logic, such as data verification, conditional judgment, loop execution, etc.; finally, the RPA in the business scenario is integrated into the application to realize data interaction and process connection.

[0086] The present invention provides a data analysis management system for integrating multi-channel power supply service demands, using any of the above-mentioned data analysis management methods for integrating multi-channel power supply service demands, including:

[0087] The data crawling module crawls the customer demand data inside and outside the power grid based on RPA technology;

[0088] A language understanding module, which analyzes the customer demand data inside the power grid and the customer demand data outside the power grid based on NLP technology to obtain power supply service demand work order information data;

[0089] The data analysis module processes and performs calculation analysis on the power supply service request work order information data based on ETL technology to obtain analysis results;

[0090] Display early warning module, using SPA technology to achieve quantitative power supply demand display and early warning of the analysis results

[0091] An embodiment of the present disclosure provides a storage medium, which is a computer-readable medium and stores a computer program. When the computer program is executed by a processor, the method provided by the embodiment of the present disclosure is implemented, including the following steps:

[0092] Step S1: crawling the customer demand data inside the power grid and the customer demand data outside the power grid based on RPA technology;

[0093] Step S2: Analyze the customer demand data inside the power grid and the customer demand data outside the power grid based on NLP technology to obtain power supply service demand work order information data;

[0094] Step S3: Processing and analyzing the power supply service request work order information data based on ETL technology to obtain analysis results;

[0095] Step S4: Utilize SPA technology to realize the quantitative power supply demand display and early warning of the analysis results.

[0096] Furthermore, when the computer program is executed by a processor, other methods provided by the embodiments of the present disclosure are implemented.

[0097] The fourth embodiment of the present disclosure provides an electronic device, which includes at least a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the method provided in any embodiment of the present disclosure when executing the computer program in the memory. Exemplarily, the steps of the electronic device computer program are as follows:

[0098] Step S1: crawling the customer demand data inside the power grid and the customer demand data outside the power grid based on RPA technology;

[0099] Step S2: Analyze the customer demand data inside the power grid and the customer demand data outside the power grid based on NLP technology to obtain power supply service demand work order information data;

[0100] Step S3: Processing and analyzing the power supply service request work order information data based on ETL technology to obtain analysis results;

[0101] Step S4: Utilize SPA technology to realize the quantitative power supply demand display and early warning of the analysis results.

[0102] Furthermore, the processor also executes the computer program in the third embodiment described above.

[0103] The storage medium may be included in the electronic device, or may exist independently without being installed in the electronic device.

[0104] The storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains at least two Internet Protocol addresses; sends a node evaluation request including at least two Internet Protocol addresses to a node evaluation device, wherein the node evaluation device selects an Internet Protocol address from the at least two Internet Protocol addresses and returns it; receives the Internet Protocol address returned by the node evaluation device; wherein the obtained Internet Protocol address indicates an edge node in a content distribution network.

[0105] Alternatively, the storage medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device: receives a node evaluation request including at least two Internet Protocol addresses; selects an Internet Protocol address from the at least two Internet Protocol addresses; and returns the selected Internet Protocol address; wherein the received Internet Protocol address indicates an edge node in a content distribution network.

[0106] Computer program code for performing operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the passenger computer, partially on the passenger computer, as a separate software package, partially on the passenger computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the passenger computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0107] It should be noted that the storage medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any storage medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0108] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0109] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, limit the unit itself.

[0110] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0111] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0112] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0113] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0114] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

[0115] Multiple embodiments of the present disclosure are described in detail above, but the present disclosure is not limited to these specific embodiments. Those skilled in the art can make various variations and modifications to the embodiments based on the concepts of the present disclosure, and these variations and modifications should all fall within the scope of protection required by the present disclosure.

Claims

1. A data analysis and management method for integrating multi-channel power supply service demands, characterized in that: The following steps are involved: Based on RPA technology, crawl the customer demand data inside the power grid and the customer demand data outside the power grid; Analyze the customer demand data inside the power grid and the customer demand data outside the power grid based on NLP technology to obtain power supply service demand work order information data; Based on the ETL technology, the power supply service request work order information data is processed and analyzed to obtain the analysis results; SPA technology is used to realize the quantitative power supply demand display and early warning of the analysis results.

2. The data analysis and management method for integrating multi-channel power supply service demands according to claim 1 is characterized in that: Based on RPA technology, crawl the customer demand data inside the power grid and the customer demand data outside the power grid, including: Configure the application scenarios of RPA technology and clarify the channel data source; Designing a rule flow for the channel data source; According to the rule process, various interface elements of the channel data source are identified, and human operations are simulated to achieve the acquisition of the customer demand data inside the power grid and the customer demand data outside the power grid.

3. The data analysis and management method for integrating multi-channel power supply service demands according to claim 1 is characterized in that: Based on the ETL technology, the power supply service request work order information data is processed and analyzed to obtain analysis results, including: Set analysis indicators according to business needs; Processing the power supply service request work order information data; Calculate and analyze the processed power supply service request work order information data to obtain analysis results; Display analysis results in numerical and / or graphical form.

4. The data analysis and management method for integrating multi-channel power supply service demands according to claim 3 is characterized in that: The analysis indicators include risk distribution, hot issues, regional distribution and channel distribution.

5. The data analysis and management method for integrating multi-channel power supply service demands according to claim 3 is characterized in that: Processing the power supply service request work order information data includes: The power supply service request work order information data is cleaned, converted and aggregated.

6. The data analysis and management method for integrating multi-channel power supply service demands according to claim 3 is characterized in that: The processed power supply service request work order information data is calculated and analyzed to obtain analysis results, including: Calculate the number of hot issues and analyze regional distribution.

7. The data analysis and management method for integrating multi-channel power supply service demands according to claim 1, characterized in that: SPA technology is used to realize the quantitative power supply demand display and early warning of the analysis results, including: Based on the power supply service request work order information data, define early warning indicators that can reflect the possibility of risk or event occurrence; Warning thresholds and warning levels set for warning indicators; When the warning indicator in the analysis result exceeds the warning threshold, a warning is triggered and warning information is issued to relevant management personnel.

8. The data analysis and management method for integrating multi-channel power supply service demands according to claim 1, characterized in that: Based on the NLP technology, the customer demand data inside the power grid and the customer demand data outside the power grid are analyzed to obtain power supply service demand work order information data, wherein the power supply service demand work order information data includes: Claim type, risk level, label, and electricity usage address.

9. A data analysis and management system integrating multi-channel power supply service demands, characterized in that: The method is implemented by using the data analysis and management method for integrating multi-channel power supply service demands as described in any one of claims 1 to 8, including: The data crawling module crawls the customer demand data inside and outside the power grid based on RPA technology; A language understanding module, which analyzes the customer demand data inside the power grid and the customer demand data outside the power grid based on NLP technology to obtain power supply service demand work order information data; The data analysis module processes and performs calculation analysis on the power supply service request work order information data based on ETL technology to obtain analysis results; The display and early warning module uses SPA technology to realize the quantitative power supply demand display and early warning of the analysis results.

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