Full power data feature analysis method, device, medium and system

Abstract

The invention relates to the technical field of data analysis, and provides a full power data feature analysis method, device, medium and system. According to the invention, through collecting the electricity consumption data of a certain region in recent five years and calculating the growth rate of a certain year, and combining the electricity consumption data of the first industry, the second industry, the third industry and the characteristic industry of the region, the rural electricity consumption ratio total value of each industry in the region in recent five years can be obtained; and finally, multi-dimensional analysis is carried out on the power consumption ratio data and the rural power consumption, so that the development trend of each industry in the region can be obtained, and a more accurate decision basis is provided.

Description

Technical Field

[0001] The present invention belongs to the field of electric power technology, and specifically relates to a method, device, medium and system for analyzing characteristics of full electric power data. Background Art

[0002] As my country's economic level continues to improve, people's quality of life has also been significantly improved, resulting in a widening gap between urban and rural areas. In order to narrow this gap, various measures are being taken to promote economic development and social progress in rural areas. At present, research is mainly focused on the policy level and regional development level, while monitoring and evaluation during the specific implementation process are less involved. Therefore, how to scientifically evaluate progress has become one of the urgent issues to be solved.

[0003] The prior art discloses a research on the construction and application of an evaluation index system based on big data. The scheme proposes to construct a set of evaluation index systems that comprehensively reflect the progress, and use big data technology to conduct quantitative analysis on them, so that governments at all levels and relevant departments can better understand the progress and formulate more effective policies and measures.

[0004] However, the above scheme still has some shortcomings: First, the existing evaluation index system is mostly based on traditional statistical methods, which lacks pertinence and flexibility; second, due to the lack of real-time data support, it is difficult to accurately reflect the actual progress; third, the existing evaluation index system often only focuses on the macro-level situation and ignores the changes at the micro-level, which is not enough for refined management. Summary of the invention

[0005] In response to the above problems, the present invention provides a method, device, medium and system for analyzing the characteristics of all-electricity data, which can effectively conduct in-depth analysis of the development of different industries from the perspective of electricity consumption, and thus provide a more accurate basis for decision-making.

[0006] The present invention adopts the following technical solution: a method for analyzing the characteristics of all-electrical data, comprising the following steps: S1: Collect electricity consumption data of a certain region in the past five years and calculate the growth rate in a certain year; S2: Collect electricity consumption data of the primary, secondary, tertiary and characteristic industries in the region; S3: Compare with the data in step S1 and collect the total value of rural electricity consumption of each industry in the region in the past five years; S4: Conduct multi-dimensional analysis on the calculated electricity consumption data of rural areas to derive the development trends of various industries in the region.

[0007] Furthermore, it also includes: analyzing the electricity consumption data of agriculture, forestry, animal husbandry and fishery in the primary industry to obtain the development trend of agricultural production.

[0008] Furthermore, it also includes: analyzing the industrial electricity consumption data in the secondary industry to obtain the development trend of the industrial industry.

[0009] Furthermore, it also includes: analyzing the electricity consumption data of the commercial service industry in the tertiary industry to derive the development trend of the commercial service industry.

[0010] Furthermore, it also includes: analyzing the electricity consumption data of characteristic industries to obtain the development trends of characteristic industries.

[0011] Furthermore, before step S4, it also includes: determining the industry category corresponding to the largest value in the total electricity consumption proportion, and taking it as the main industry.

[0012] The present invention also provides a full power data feature analysis device, comprising: a processor, a memory, and an input and output device; wherein the processor is used to execute a program code pre-stored in the memory to complete the above method.

[0013] The present invention also provides a computer-readable storage medium, on which instructions are stored. When the computer-readable storage medium is run on a computer, the computer is enabled to execute the above method.

[0014] The present invention also provides a full power data feature analysis system, including a server and a client, wherein the server is used to receive a query request from the client and then call relevant data information in the database to feed back to the client; the client is used to display the feedback result.

[0015] The present invention collects the electricity consumption data of the region in the past five years and calculates the growth rate of a certain year, and then combines the electricity consumption data of the primary industry, secondary industry, tertiary industry and characteristic industry in the region to obtain the total value of rural electricity consumption of various industries in the region in the past five years. Finally, by conducting a multi-dimensional analysis of rural electricity consumption data on electricity consumption proportions, the development trends of various industries in the region can be obtained, thereby providing a more accurate basis for decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic flow chart of a method for analyzing the characteristics of all-electrical data provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present invention. It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0018] Embodiment 1 like Figure 1 As shown, this embodiment provides a method for analyzing the characteristics of full power data, comprising the following steps: S1: Collect electricity consumption data of a certain region in the past five years and calculate the growth rate in a certain year; S2: Collect electricity consumption data of the primary, secondary, tertiary and characteristic industries in the region; S3: Compare with the data in step S1 and collect the total value of rural electricity consumption of each industry in the region in the past five years; S4: Conduct multi-dimensional analysis on the calculated electricity consumption data of rural areas to derive the development trends of various industries in the region.

[0019] Specifically, in this embodiment, by collecting the electricity consumption data of the region for the past five years and calculating the growth rate of a certain year, and then combining the electricity consumption data of the primary, secondary, tertiary and characteristic industries in the region, the total value of the rural electricity consumption share of each industry in the region in the past five years can be obtained. Finally, by conducting a multi-dimensional analysis of the rural electricity consumption data on the electricity consumption share, the development trend of each industry in the region can be obtained, thereby providing a more accurate basis for decision-making.

[0020] As an optional implementation, it also includes: analyzing the electricity consumption data of agriculture, forestry, animal husbandry and fishery in the primary industry to obtain the development trend of agricultural production. Specifically, in this embodiment, the electricity consumption data of agriculture, forestry, animal husbandry and fishery in the primary industry can be analyzed to obtain the development trend of agricultural production, so as to adjust and optimize the agricultural development direction of the region.

[0021] As an optional implementation, it also includes: analyzing the industrial electricity consumption data in the secondary industry to obtain the industrial industry development trend. Specifically, in this embodiment, the industrial electricity consumption data in the secondary industry can be analyzed to obtain the industrial industry development trend, so as to adjust and optimize the industrial development direction of the region.

[0022] As an optional implementation, it also includes: analyzing the electricity consumption data of the commercial service industry in the tertiary industry to obtain the development trend of the commercial service industry. Specifically, in this embodiment, the electricity consumption data of the commercial service industry in the tertiary industry can be analyzed to obtain the development trend of the commercial service industry, so as to adjust and optimize the development direction of the commercial service industry in the region.

[0023] As an optional implementation, it also includes: analyzing the electricity consumption data of characteristic industries to obtain the development trend of characteristic industries. Specifically, in this embodiment, the development trend of characteristic industries can be obtained by analyzing the electricity consumption data of characteristic industries, so as to adjust and optimize the development direction of characteristic industries in the region.

[0024] As an optional implementation, before step S4, it also includes: determining the industry category corresponding to the maximum value in the total value of electricity consumption, and taking it as the main industry. Specifically, in this embodiment, the main industry of the region can be determined according to the industry category corresponding to the maximum value in the total value of electricity consumption, so as to adjust and optimize the development direction of the main industry in the region.

[0025] Embodiment 2 This embodiment provides a full power data feature analysis device, including: a processor, a memory, and an input and output device; wherein the processor is used to execute a program code pre-stored in the memory to complete the method of embodiment 1. The device provided in this embodiment is suitable for a PC or a mobile terminal, such as a personal computer, a tablet computer, a mobile phone, etc., as long as it can access the Internet normally.

[0026] Embodiment 3 This embodiment provides a computer-readable storage medium, on which instructions are stored. When the computer-readable storage medium is run on a computer, the computer is enabled to execute the method of the above embodiment 1.

[0027] Embodiment 4 The present embodiment provides a full power data feature analysis system, including a server and a client, wherein the server is used to receive a query request from the client and then call the relevant data information in the database to feed back to the client; the client is used to display the feedback result. Specifically, in the present embodiment, the client can obtain the required information from the server and can also send a query request to the server. The client can be used on various terminals such as web browsers and mobile applications. In the present embodiment, the server is responsible for processing the query request sent by the client and returning the corresponding query result. The server can be an independent physical server or a cluster composed of multiple physical servers. A web application is deployed on the server to respond to the HTTP request of the client and generate an HTML page for the client to display. In the present embodiment, the database is used to store a large amount of power consumption data, which can come from different sources, such as meter counting, metering instrument collection, manual entry, etc. The design of the database needs to take into account factors such as data security, reliability, and performance. In the present embodiment, the server and the database are connected through a network, which can be a local area network or a wide area network. The server accesses the database through the network, obtains the required power consumption data, and returns the data to the client. In the present embodiment, the client can send a query request to the server to request the power consumption data of a certain area. After receiving this request, the server will search for relevant data from the database, package the data into a response body in JSON format, and then return it to the client through the HTTP protocol. After receiving the response body, the client will parse the data and display it on the interface. The client can also provide some interactive functions, such as filtering, sorting, chart display, etc., to help users view and analyze electricity consumption data more conveniently. In this embodiment, the client can also provide some advanced functions, such as predicting electricity consumption trends in the future, comparing electricity consumption differences in different regions, etc. These functions can help users better understand and grasp the characteristics and laws of electricity consumption data, thereby providing more accurate decision-making basis.

[0028] In summary, after reading the present invention document, ordinary technicians in this field can make various other corresponding transformation schemes based on the technical scheme and technical concept of the present invention without creative mental work, which all fall within the scope of protection of the present invention.

Claims

1. A method for analyzing the characteristics of all electric power data, characterized in that: The following steps are involved: S1: Collect electricity consumption data of a certain region in the past five years and calculate the growth rate in a certain year; S2: Collect electricity consumption data of the primary, secondary, tertiary and characteristic industries in the region; S3: Compare with the data of step S1, and collect the total value of rural electricity consumption of various industries in the region in the past five years; S4: Conduct multi-dimensional analysis on the calculated electricity consumption data of rural areas to derive the development trends of various industries in the region.

2. The method according to claim 1, characterized in that Also includes: The electricity consumption data of agriculture, forestry, animal husbandry and fishery in the primary industry was analyzed to obtain the development trend of agricultural production.

3. The method according to claim 1 or 2, characterized in that Also includes: The industrial electricity consumption data in the secondary industry is analyzed to obtain the development trend of the industrial industry.

4. The method according to any one of claims 1 to 3, characterized in that: Also includes: The electricity consumption data of the commercial service industry in the tertiary industry was analyzed to obtain the development trend of the commercial service industry.

5. The method according to any one of claims 1 to 4, characterized in that: Also includes: Analyze the electricity consumption data of characteristic industries and derive the development trends of characteristic industries.

6. The method according to any one of claims 1 to 5, characterized in that: Before step S4, the method further includes: determining the industry category corresponding to the largest value in the total electricity consumption proportion, and taking it as the main industry.

7. A full power data characteristic analysis device, characterized in that: include: A processor, a memory, and an input / output device; wherein the processor is used to execute program codes pre-stored in the memory to complete the method described in any one of claims 1 to 7.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the method according to any one of claims 1 to 7.

9. A full power data feature analysis system, characterized in that: It includes a server and a client, wherein the server is used to receive a query request from the client and then call the relevant data information in the database to feed back to the client; the client is used to display the feedback result.

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