Energy monitoring management method and system based on cloud platform

Abstract

The invention provides an energy monitoring management method and system based on a cloud platform. The method comprises the steps of collecting energy monitoring information of a target industrial park, extracting energy monitoring feature data corresponding to each energy supply sub-region, and performing real-time display on an energy monitoring instrument of a cloud platform, processing to obtain an energy utilization efficiency index, an energy economic efficiency index, an energy conversion efficiency index and an energy elastic coefficient corresponding to each energy supply sub-region in a preset time period, and processing according to the energy utilization efficiency index, the energy economic efficiency index and the energy conversion efficiency index in combination with the energy elastic coefficient. And the energy comprehensive utilization benefit index corresponding to each energy supply sub-region is obtained, and each energy supply sub-region is evaluated and correspondingly adjusted, so that the energy monitoring management technology based on the cloud platform is realized.

Description

Technical Field

[0001] The present application relates to the field of energy monitoring technology, and more specifically, to a cloud platform-based energy monitoring management method and system. Background Art

[0002] Energy management in industrial parks faces many challenges. Traditional management focuses on the use link, ignoring the control of procurement sources, transmission loss monitoring and waste energy recycling. Data in each link are scattered, making it difficult to form a closed-loop management, which is not conducive to energy conservation, emission reduction and sustainable development. Although the cloud platform provides data integration advantages, the existing solutions have not yet deeply explored its application potential in energy management.

[0003] Therefore, it is necessary to seek a cloud-based energy monitoring and management method that can collect electricity, water, cooling and equipment operation data in the industrial park through energy consumption metering devices based on cloud platforms and big data analysis, and display energy efficiency data in a visual way. Through in-depth mining and analysis of energy consumption data, statistical and planning processing, it is helpful to achieve comprehensive energy consumption management and planned energy consumption, and help users build green and low-carbon industrial parks to achieve the purpose of reducing waste and saving resources.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide an energy monitoring management method and system based on a cloud platform. The method and system can extract the energy monitoring characteristic data corresponding to each energy supply sub-area of ​​the target industrial park, and display it in real time on the energy monitoring instrument of the cloud platform, and process and obtain the energy utilization efficiency index, energy economic efficiency index, energy conversion efficiency index and energy elasticity coefficient corresponding to each energy supply sub-area within a preset time period. According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained, and each energy supply sub-area is evaluated and adjusted accordingly, so as to realize the technology of energy monitoring management based on a cloud platform.

[0006] The present application also provides an energy monitoring and management method based on a cloud platform, comprising the following steps: Collect energy monitoring information of the target industrial park, extract energy monitoring characteristic data corresponding to each energy supply sub-area, and display it in real time on the energy monitoring instrument of the cloud platform; Obtaining the energy consumption data per unit output value and the energy balance rate data of each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index; Obtaining energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy economic efficiency index; Obtaining energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy conversion efficiency index; Obtaining energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, and processing to obtain corresponding energy elasticity coefficients; According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained, and each energy supply sub-area is evaluated and adjusted accordingly.

[0007] Optionally, in the cloud platform-based energy monitoring management method described in the present application, the energy monitoring information of the target industrial park is collected, the energy monitoring characteristic data corresponding to each energy supply sub-area is extracted, and the energy monitoring instrument on the cloud platform is displayed in real time, including: Collect energy monitoring information of the target industrial park, including energy consumption information, energy quality information, energy supply information and energy demand information; Extracting energy monitoring characteristic data corresponding to each energy supply sub-area according to the energy consumption information, energy quality information, energy supply information and energy demand information; The energy monitoring characteristic data includes total energy consumption data, classified energy consumption data, energy quality data, energy supply data and energy demand data; The energy monitoring characteristic data is displayed in real time on the energy monitoring instrument of the cloud platform according to different chart types and different colors; The chart types include line charts, bar charts, pie charts, and dashboards; The colors include green, blue, yellow, orange and red.

[0008] Optionally, in the cloud platform-based energy monitoring and management method described in the present application, the step of obtaining the energy consumption data per unit output value and the energy balance rate data corresponding to each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index includes: Obtaining the total energy consumption data, total industrial output value data, energy input data and energy loss data corresponding to each energy supply sub-area within a preset time period; Processing the total energy consumption data and the total industrial output value data to obtain energy consumption data per unit output value; Processing the energy input data and the energy loss data to obtain energy balance rate data; The energy consumption data per unit of output value and the energy balance rate data are processed to obtain a corresponding energy utilization efficiency index.

[0009] Optionally, in the cloud platform-based energy monitoring and management method described in the present application, the step of obtaining the energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain the corresponding energy economic efficiency index includes: Obtaining energy cost data, total cost data, and total profit data corresponding to each energy supply sub-area within the preset time period; Processing the energy cost data and the total cost data to obtain energy cost-effectiveness data; Processing the energy cost data and the total profit data to obtain energy cost profit rate data; The energy cost-effectiveness data and the energy cost-profit rate data are processed to obtain a corresponding energy economic efficiency index.

[0010] Optionally, in the cloud platform-based energy monitoring and management method described in the present application, the step of obtaining the energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain the corresponding energy conversion efficiency index includes: Obtaining the total output energy data, total input energy data and recycled energy data corresponding to each energy supply sub-area within the preset time period; Processing is performed according to the total data of output energy and the total data of input energy to obtain energy processing conversion efficiency data; Processing the recycled energy amount data in combination with the total energy consumption data to obtain energy recycling rate data; The energy conversion efficiency index is obtained by processing the energy processing conversion efficiency data and the energy recovery utilization rate data.

[0011] Optionally, in the cloud platform-based energy monitoring and management method described in the present application, the energy utilization efficiency index, the energy economic efficiency index and the energy conversion efficiency index are processed in combination with the energy elasticity coefficient to obtain the energy comprehensive utilization benefit index corresponding to each energy supply sub-area, and each energy supply sub-area is evaluated and adjusted accordingly, including: According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained; Comparing the electric energy comprehensive utilization benefit index with a preset energy comprehensive utilization benefit threshold to obtain a corresponding threshold comparison result; The comprehensive energy utilization benefit eligibility of each energy supply sub-area is evaluated according to the threshold comparison result, and the energy supply sub-area corresponding to the unqualified evaluation result is adjusted accordingly.

[0012] In a second aspect, the present application provides an energy monitoring and management system based on a cloud platform, the system comprising: a memory and a processor, the memory comprising a program of an energy monitoring and management method based on a cloud platform, and the program of the energy monitoring and management method based on a cloud platform, when executed by the processor, implements the following steps: Collect energy monitoring information of the target industrial park, extract energy monitoring characteristic data corresponding to each energy supply sub-area, and display it in real time on the energy monitoring instrument of the cloud platform; Obtaining the energy consumption data per unit output value and the energy balance rate data of each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index; Obtaining energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy economic efficiency index; Obtaining energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy conversion efficiency index; Obtaining energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, and processing to obtain corresponding energy elasticity coefficients; According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained, and each energy supply sub-area is evaluated and adjusted accordingly.

[0013] Optionally, in the cloud platform-based energy monitoring and management system described in the present application, the energy monitoring information of the target industrial park is collected, the energy monitoring characteristic data corresponding to each energy supply sub-area is extracted, and the energy monitoring instrument on the cloud platform is displayed in real time, including: Collect energy monitoring information of the target industrial park, including energy consumption information, energy quality information, energy supply information and energy demand information; Extracting energy monitoring characteristic data corresponding to each energy supply sub-area according to the energy consumption information, energy quality information, energy supply information and energy demand information; The energy monitoring characteristic data includes total energy consumption data, classified energy consumption data, energy quality data, energy supply data and energy demand data; The energy monitoring characteristic data is displayed in real time on the energy monitoring instrument of the cloud platform according to different chart types and different colors; The chart types include line charts, bar charts, pie charts, and dashboards; The colors include green, blue, yellow, orange and red.

[0014] Optionally, in the cloud platform-based energy monitoring and management system described in the present application, the obtaining of the energy consumption data per unit output value and the energy balance rate data corresponding to each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index, includes: Obtaining the total energy consumption data, total industrial output value data, energy input data and energy loss data corresponding to each energy supply sub-area within a preset time period; Processing the total energy consumption data and the total industrial output value data to obtain energy consumption data per unit output value; Processing the energy input data and the energy loss data to obtain energy balance rate data; The energy consumption data per unit of output value and the energy balance rate data are processed to obtain a corresponding energy utilization efficiency index.

[0015] Optionally, in the cloud platform-based energy monitoring and management system described in the present application, the acquiring of energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy economic efficiency index, includes: Obtaining energy cost data, total cost data, and total profit data corresponding to each energy supply sub-area within the preset time period; Processing the energy cost data and the total cost data to obtain energy cost-effectiveness data; Processing the energy cost data and the total profit data to obtain energy cost profit rate data; The energy cost-effectiveness data and the energy cost-profit rate data are processed to obtain a corresponding energy economic efficiency index.

[0016] As can be seen from the above, the cloud-based energy monitoring management method and system provided by the present application, by collecting energy monitoring information of the target industrial park, extracts the energy monitoring characteristic data corresponding to each energy supply sub-area, and displays it in real time on the energy monitoring instrument of the cloud platform, obtains the unit output value energy consumption data and energy balance rate data corresponding to each energy supply sub-area within a preset time period, processes to obtain the corresponding energy utilization efficiency index, obtains the energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, processes to obtain the corresponding energy economic efficiency index, obtains the energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, processes to obtain the corresponding energy conversion efficiency index, obtains the energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, processes to obtain the corresponding energy elasticity coefficient, and processes according to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index in combination with the energy elasticity coefficient to obtain the energy comprehensive utilization benefit index corresponding to each energy supply sub-area, and evaluates and adjusts each energy supply sub-area accordingly, thereby realizing the technology of energy monitoring and management based on the cloud platform.

[0017] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flowchart of a cloud platform-based energy monitoring and management method provided in an embodiment of the present application; Figure 2 A flow chart of obtaining an energy utilization efficiency index in a cloud platform-based energy monitoring and management method provided in an embodiment of the present application; Figure 3 A flow chart of obtaining an energy economic efficiency index for a cloud platform-based energy monitoring and management method provided in an embodiment of the present application; Figure 4 A flow chart of obtaining an energy conversion efficiency index in a cloud platform-based energy monitoring and management method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0021] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0022] Please refer to Figure 1 , Figure 1 The following is a flow chart of a cloud platform-based energy monitoring and management method in some embodiments of the present application. The cloud platform-based energy monitoring and management method is used in terminal devices, such as computers, mobile terminals, etc. The cloud platform-based energy monitoring and management method includes the following steps: S11. Collect energy monitoring information of the target industrial park, extract energy monitoring characteristic data corresponding to each energy supply sub-area, and display it in real time on the energy monitoring instrument of the cloud platform; S12, obtaining the energy consumption data per unit output value and the energy balance rate data of each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index; S13, obtaining the energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain the corresponding energy economic efficiency index; S14, obtaining the energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain the corresponding energy conversion efficiency index; S15, obtaining energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, and processing to obtain corresponding energy elasticity coefficients; S16. According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained, and each energy supply sub-area is evaluated and adjusted accordingly.

[0023] It should be noted that energy management in industrial parks faces many challenges. Traditional management focuses on the use link, ignores the control of procurement sources, transmission loss monitoring and waste energy recycling. Data in each link are scattered, making it difficult to form a closed-loop management, which is not conducive to energy conservation, emission reduction and sustainable development. Although the cloud platform provides data integration advantages, the existing solutions have not yet deeply explored its application potential in energy management. Therefore, it is necessary to seek a cloud-based energy monitoring and management method that can collect electricity, water, cooling and equipment operation data in the industrial park through energy consumption metering devices based on the cloud platform and big data analysis, and display energy efficiency data in a visual way. Through in-depth mining and analysis of energy consumption data, statistical and planning processing, it is helpful to achieve comprehensive management and planned energy consumption, help users build green and low-carbon industrial parks, so as to achieve the purpose of reducing waste and saving resources. To this end, in this embodiment, firstly, by collecting energy monitoring information of the target industrial park, extracting the energy monitoring characteristic data corresponding to each energy supply sub-area, and displaying it in real time on the energy monitoring instrument of the cloud platform, the energy consumption data per unit output value and the energy balance rate data corresponding to each energy supply sub-area in the preset time period are obtained, and the corresponding energy utilization efficiency index is obtained through processing, and the energy cost-effectiveness data and energy cost-profit ratio corresponding to each energy supply sub-area in the preset time period are obtained. Data is processed to obtain the corresponding energy economic efficiency index, obtain the corresponding energy processing conversion efficiency data and energy recovery utilization rate data of each energy supply sub-area within the preset time period, process to obtain the corresponding energy conversion efficiency index, obtain the corresponding energy consumption characteristic data and economic indicator characteristic data of each energy supply sub-area within the preset time period, process to obtain the corresponding energy elasticity coefficient, and process according to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index in combination with the energy elasticity coefficient to obtain the corresponding energy comprehensive utilization benefit index of each energy supply sub-area, and evaluate and adjust each energy supply sub-area accordingly, thereby realizing the technology of energy monitoring and management based on the cloud platform.

[0024] According to an embodiment of the present invention, the energy monitoring information of the target industrial park is collected, the energy monitoring characteristic data corresponding to each energy supply sub-area is extracted, and the energy monitoring instrument on the cloud platform is displayed in real time, including: Collect energy monitoring information of the target industrial park, including energy consumption information, energy quality information, energy supply information and energy demand information; Extracting energy monitoring characteristic data corresponding to each energy supply sub-area according to the energy consumption information, energy quality information, energy supply information and energy demand information; The energy monitoring characteristic data includes total energy consumption data, classified energy consumption data, energy quality data, energy supply data and energy demand data; The energy monitoring characteristic data is displayed in real time on the energy monitoring instrument of the cloud platform according to different chart types and different colors; The chart types include line charts, bar charts, pie charts, and dashboards; The colors include green, blue, yellow, orange and red.

[0025] It should be noted that the energy information of the industrial park is monitored, and the industrial park is divided into multiple heating sub-areas according to the characteristics of the energy system or management needs. At the same time, the energy data corresponding to each energy supply sub-area is monitored, including total energy consumption, classified energy consumption, energy quality, energy supply and energy demand data, and used on the energy monitoring dashboard of the cloud platform to display energy data in real time in the form of charts (such as line charts, bar charts, pie charts, etc.). For example, by showing the power consumption of a workshop at different times of the day through a line chart, managers can intuitively see the peak and trough periods of power consumption in order to analyze the operation of the equipment and energy utilization efficiency. In addition, in the chart, different colors of lines or columns are used to represent different energy types or equipment, so that users can distinguish them at a glance. At the same time, the alarm information can be used in eye-catching red or orange, etc., to form a sharp contrast with the normal data display area to improve recognition.

[0026] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of obtaining an energy utilization efficiency index of a cloud platform-based energy monitoring management method in some embodiments of the present application. According to an embodiment of the present invention, the energy consumption data per unit output value and the energy balance rate data corresponding to each energy supply sub-area within a preset time period are obtained, and the corresponding energy utilization efficiency index is obtained by processing, including: S21, obtaining the total energy consumption data, total industrial output value data, energy input data and energy loss data corresponding to each energy supply sub-area within a preset time period; S22, processing the total energy consumption data and the total industrial output value data to obtain energy consumption data per unit output value; S23, processing the energy input data and the energy loss data to obtain energy balance rate data; S24. Process the energy consumption data per unit output value and the energy balance rate data to obtain a corresponding energy utilization efficiency index.

[0027] It should be noted that the total energy consumption, total industrial output value, energy input and energy loss data corresponding to each energy supply sub-area within a preset time period are obtained, and statistical processing is performed based on the total energy consumption data and the total industrial output value to obtain the unit output value energy consumption data, where the unit output value energy consumption is one of the most commonly used indicators to measure the energy utilization efficiency of an enterprise. The calculation method is the total energy consumption (converted into a unified unit such as standard coal) of the energy supply sub-area within a certain period (usually one year) divided by the total industrial output value of the same period, and the energy balance rate data is processed based on the energy input data and the energy loss data to obtain the energy balance rate data, where the energy balance rate refers to the balance between the energy input and energy output (including effective utilization, loss, etc.) of the energy supply sub-area within a certain period (such as one year). The calculation formula is: Energy balance rate = Energy output ÷ Energy input × 100%. Finally, the unit output value energy consumption data and the energy balance rate data are processed to obtain the corresponding energy utilization efficiency index; The calculation formula of the energy efficiency index is: ; in, is the energy efficiency index of the i-th energy supply sub-region, , are the unit output value energy consumption data and energy balance rate data of the i-th energy supply sub-area, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset energy monitoring platform).

[0028] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining an energy economic efficiency index of a cloud platform-based energy monitoring management method in some embodiments of the present application. According to an embodiment of the present invention, the energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area in the preset time period are obtained, and the corresponding energy economic efficiency index is obtained by processing, including: S31, obtaining energy cost data, total cost data and total profit data corresponding to each energy supply sub-area within the preset time period; S32, processing the energy cost data and the total cost data to obtain energy cost-effectiveness data; S33, processing the energy cost data and the total profit data to obtain energy cost profit rate data; S34. Process the energy cost-effectiveness data and the energy cost-profitability data to obtain a corresponding energy economic efficiency index.

[0029] It should be noted that the energy cost, total cost and total profit data corresponding to each energy supply sub-area in the preset time period are obtained, and the energy cost data and the total cost data are processed to obtain energy cost benefit data, wherein the energy cost benefit is calculated by dividing the energy cost of the energy supply sub-area by the total cost, and the energy cost data and the total profit data are processed to obtain energy cost profit rate data, wherein the energy cost profit rate refers to the ratio of the total profit of the energy supply sub-area in a certain period to the total energy cost, and finally, the energy cost benefit data and the energy cost profit rate data are processed to obtain the corresponding energy economic efficiency index; The calculation formula of the energy economic efficiency index is: ; in, is the energy economic efficiency index of the i-th energy supply sub-region, , are the energy cost-effectiveness data and energy cost-profit rate data of the i-th energy supply sub-region, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset energy monitoring platform).

[0030] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of obtaining an energy conversion efficiency index of a cloud platform-based energy monitoring and management method in some embodiments of the present application. According to an embodiment of the present invention, the energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period are obtained, and the corresponding energy conversion efficiency index is obtained by processing, including: S41, obtaining the total output energy data, total input energy data and recycled energy data corresponding to each energy supply sub-area within the preset time period; S42, processing the total data of the output energy and the total data of the input energy to obtain energy processing conversion efficiency data; S43, processing the recycled energy amount data in combination with the total energy consumption data to obtain energy recycling rate data; S44, processing is performed according to the energy processing conversion efficiency data and the energy recovery utilization rate data to obtain an energy conversion efficiency index.

[0031] It should be noted that the data of the total output energy, the total input energy and the recycled energy corresponding to each energy supply sub-area in the preset time period are obtained, and the data of the total output energy and the total input energy are processed to obtain the energy processing conversion efficiency data, wherein the energy processing conversion efficiency refers to the ratio of the effective energy output to the input energy after the energy is processed and converted. For example, a thermal power plant burns coal to generate steam, and then generates electricity through a steam turbine. If 100 tons of standard coal (of equal value) are invested, and the electricity finally generated after conversion is equivalent to the energy of 30 tons of standard coal (of equal value), then the energy processing conversion efficiency of the thermal power plant is 30÷100×100% =30%, and the energy recovery rate data is obtained by combining the recycled energy with the total energy consumption data. The energy recovery rate refers to the ratio of the recycled energy in the energy supply sub-area (such as waste heat, waste pressure, exhaust gas and other energy recovered and reused) to the total energy consumption of the energy supply sub-area (including the total amount before recycling). For example, a certain energy supply sub-area generates a large amount of waste heat during the production process, and a part of the heat is recovered through the waste heat recovery device for preheating raw materials, etc. If the recovered waste heat is equivalent to 10% of the total energy consumption of the energy supply sub-area, the energy recovery rate is 10%. By comparing the energy recovery rates of different energy supply sub-areas, we can see the effectiveness of the energy supply sub-area in the reuse of waste energy. Finally, the energy conversion efficiency index is obtained by processing the energy processing conversion efficiency data and the energy recovery rate data; The calculation formula of the energy conversion efficiency index is: ; in, is the energy economic efficiency index of the i-th energy supply sub-region, , are the energy cost-effectiveness data and energy cost-profit rate data of the i-th energy supply sub-region, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset energy monitoring platform).

[0032] According to an embodiment of the present invention, the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index are processed in combination with the energy elasticity coefficient to obtain the energy comprehensive utilization benefit index corresponding to each energy supply sub-region, and each energy supply sub-region is evaluated and adjusted accordingly, including: According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained; Comparing the electric energy comprehensive utilization benefit index with a preset energy comprehensive utilization benefit threshold to obtain a corresponding threshold comparison result; The comprehensive energy utilization benefit eligibility of each energy supply sub-area is evaluated according to the threshold comparison result, and the energy supply sub-area corresponding to the unqualified evaluation result is adjusted accordingly.

[0033] It should be noted that the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index are processed in combination with the energy elasticity coefficient to obtain the energy comprehensive utilization benefit index corresponding to each energy supply sub-region, and then compared with the preset energy comprehensive utilization benefit threshold. According to the threshold comparison results, the energy comprehensive utilization benefit qualification of each energy supply sub-region is evaluated respectively, and the energy supply sub-region corresponding to the unqualified evaluation results is adjusted accordingly; The calculation formula of the energy comprehensive utilization benefit index is: ; in, is the energy economic efficiency index of the i-th energy supply sub-region, , , , are the energy utilization efficiency index, energy economic efficiency index, energy conversion efficiency index, and energy elasticity coefficient of the i-th energy supply sub-region, respectively. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset energy monitoring platform).

[0034] According to an embodiment of the present invention, it also includes: The method further includes: obtaining the energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, and processing to obtain the corresponding energy elasticity coefficient, specifically including: Acquire energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period; The energy consumption characteristic data includes the energy consumption data of the current period and the energy consumption data of the previous period; The economic indicator characteristic data include the industrial added value data of the current period and the industrial added value data of the previous period; The energy elasticity coefficient is obtained by processing the current period energy consumption data and the previous period energy consumption data in combination with the current period industrial value-added data and the previous period industrial value-added data.

[0035] It should be noted that the energy elasticity coefficient refers to the ratio of the growth rate of energy consumption to the economic growth rate (such as the growth rate of industrial added value). For example, if the annual growth rate of industrial added value of a certain enterprise is 10% and the annual growth rate of energy consumption is 5%, then the energy elasticity coefficient of the enterprise is 0.5. It reflects the relationship between economic growth and energy consumption growth.

[0036] In a second aspect, the present invention further discloses an energy monitoring and management system based on a cloud platform, comprising a memory and a processor, wherein the memory comprises an energy monitoring and management method program based on a cloud platform, and when the energy monitoring and management method program based on a cloud platform is executed by the processor, the following steps are implemented: Collect energy monitoring information of the target industrial park, extract energy monitoring characteristic data corresponding to each energy supply sub-area, and display it in real time on the energy monitoring instrument of the cloud platform; Obtaining the energy consumption data per unit output value and the energy balance rate data of each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index; Obtaining energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy economic efficiency index; Obtaining energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy conversion efficiency index; Obtaining energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, and processing to obtain corresponding energy elasticity coefficients; According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained, and each energy supply sub-area is evaluated and adjusted accordingly.

[0037] It should be noted that energy management in industrial parks faces many challenges. Traditional management focuses on the use link, ignores the control of procurement sources, transmission loss monitoring and waste energy recycling. Data in each link are scattered, making it difficult to form a closed-loop management, which is not conducive to energy conservation, emission reduction and sustainable development. Although the cloud platform provides data integration advantages, the existing solutions have not yet deeply explored its application potential in energy management. Therefore, it is necessary to seek a cloud-based energy monitoring and management method that can collect electricity, water, cooling and equipment operation data in the industrial park through energy consumption metering devices based on the cloud platform and big data analysis, and display energy efficiency data in a visual way. Through in-depth mining and analysis of energy consumption data, statistical and planning processing, it is helpful to achieve comprehensive management and planned energy consumption, help users build green and low-carbon industrial parks, so as to achieve the purpose of reducing waste and saving resources. To this end, in this embodiment, firstly, by collecting energy monitoring information of the target industrial park, extracting the energy monitoring characteristic data corresponding to each energy supply sub-area, and displaying it in real time on the energy monitoring instrument of the cloud platform, the energy consumption data per unit output value and the energy balance rate data corresponding to each energy supply sub-area in the preset time period are obtained, and the corresponding energy utilization efficiency index is obtained through processing, and the energy cost-effectiveness data and energy cost-profit ratio corresponding to each energy supply sub-area in the preset time period are obtained. Data is processed to obtain the corresponding energy economic efficiency index, obtain the corresponding energy processing conversion efficiency data and energy recovery utilization rate data of each energy supply sub-area within the preset time period, process to obtain the corresponding energy conversion efficiency index, obtain the corresponding energy consumption characteristic data and economic indicator characteristic data of each energy supply sub-area within the preset time period, process to obtain the corresponding energy elasticity coefficient, and process according to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index in combination with the energy elasticity coefficient to obtain the corresponding energy comprehensive utilization benefit index of each energy supply sub-area, and evaluate and adjust each energy supply sub-area accordingly, thereby realizing the technology of energy monitoring and management based on the cloud platform.

[0038] According to an embodiment of the present invention, the energy monitoring information of the target industrial park is collected, the energy monitoring characteristic data corresponding to each energy supply sub-area is extracted, and the energy monitoring instrument on the cloud platform is displayed in real time, including: Collect energy monitoring information of the target industrial park, including energy consumption information, energy quality information, energy supply information and energy demand information; Extracting energy monitoring characteristic data corresponding to each energy supply sub-area according to the energy consumption information, energy quality information, energy supply information and energy demand information; The energy monitoring characteristic data includes total energy consumption data, classified energy consumption data, energy quality data, energy supply data and energy demand data; The energy monitoring characteristic data is displayed in real time on the energy monitoring instrument of the cloud platform according to different chart types and different colors; The chart types include line charts, bar charts, pie charts, and dashboards; The colors include green, blue, yellow, orange and red.

[0039] It should be noted that the energy information of the industrial park is monitored, and the industrial park is divided into multiple heating sub-areas according to the characteristics of the energy system or management needs. At the same time, the energy data corresponding to each energy supply sub-area is monitored, including total energy consumption, classified energy consumption, energy quality, energy supply and energy demand data, and used on the energy monitoring dashboard of the cloud platform to display energy data in real time in the form of charts (such as line charts, bar charts, pie charts, etc.). For example, by showing the power consumption of a workshop at different times of the day through a line chart, managers can intuitively see the peak and trough periods of power consumption in order to analyze the operation of the equipment and energy utilization efficiency. In addition, in the chart, different colors of lines or columns are used to represent different energy types or equipment, so that users can distinguish them at a glance. At the same time, the alarm information can be used in eye-catching red or orange, etc., to form a sharp contrast with the normal data display area to improve recognition.

[0040] According to an embodiment of the present invention, the step of obtaining the energy consumption data per unit output value and the energy balance rate data corresponding to each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index includes: Obtaining the total energy consumption data, total industrial output value data, energy input data and energy loss data corresponding to each energy supply sub-area within a preset time period; Processing the total energy consumption data and the total industrial output value data to obtain energy consumption data per unit output value; Processing the energy input data and the energy loss data to obtain energy balance rate data; The energy consumption data per unit of output value and the energy balance rate data are processed to obtain a corresponding energy utilization efficiency index.

[0041] It should be noted that the total energy consumption, total industrial output value, energy input and energy loss data corresponding to each energy supply sub-area within a preset time period are obtained, and statistical processing is performed based on the total energy consumption data and the total industrial output value to obtain the unit output value energy consumption data, where the unit output value energy consumption is one of the most commonly used indicators to measure the energy utilization efficiency of an enterprise. The calculation method is the total energy consumption (converted into a unified unit such as standard coal) of the energy supply sub-area within a certain period (usually one year) divided by the total industrial output value of the same period, and the energy balance rate data is processed based on the energy input data and the energy loss data to obtain the energy balance rate data, where the energy balance rate refers to the balance between the energy input and energy output (including effective utilization, loss, etc.) of the energy supply sub-area within a certain period (such as one year). The calculation formula is: Energy balance rate = Energy output ÷ Energy input × 100%. Finally, the unit output value energy consumption data and the energy balance rate data are processed to obtain the corresponding energy utilization efficiency index; The calculation formula of the energy efficiency index is: ; in, is the energy efficiency index of the i-th energy supply sub-region, , are the unit output value energy consumption data and energy balance rate data of the i-th energy supply sub-area, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset energy monitoring platform).

[0042] According to an embodiment of the present invention, the step of obtaining the energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period and processing to obtain the corresponding energy economic efficiency index includes: Obtaining energy cost data, total cost data, and total profit data corresponding to each energy supply sub-area within the preset time period; Processing the energy cost data and the total cost data to obtain energy cost-effectiveness data; Processing the energy cost data and the total profit data to obtain energy cost profit rate data; The energy cost-effectiveness data and the energy cost-profit rate data are processed to obtain a corresponding energy economic efficiency index.

[0043] It should be noted that the energy cost, total cost and total profit data corresponding to each energy supply sub-area in the preset time period are obtained, and the energy cost data and the total cost data are processed to obtain energy cost benefit data, wherein the energy cost benefit is calculated by dividing the energy cost of the energy supply sub-area by the total cost, and the energy cost data and the total profit data are processed to obtain energy cost profit rate data, wherein the energy cost profit rate refers to the ratio of the total profit of the energy supply sub-area in a certain period to the total energy cost, and finally, the energy cost benefit data and the energy cost profit rate data are processed to obtain the corresponding energy economic efficiency index; The calculation formula of the energy economic efficiency index is: ; in, is the energy economic efficiency index of the i-th energy supply sub-region, , are the energy cost-effectiveness data and energy cost-profit rate data of the i-th energy supply sub-region, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset energy monitoring platform).

[0044] According to an embodiment of the present invention, the step of obtaining the energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain the corresponding energy conversion efficiency index includes: Obtaining the total output energy data, total input energy data and recycled energy data corresponding to each energy supply sub-area within the preset time period; Processing is performed according to the total data of output energy and the total data of input energy to obtain energy processing conversion efficiency data; Processing the recycled energy amount data in combination with the total energy consumption data to obtain energy recycling rate data; The energy conversion efficiency index is obtained by processing the energy processing conversion efficiency data and the energy recovery utilization rate data.

[0045] It should be noted that the data of the total output energy, the total input energy and the recycled energy corresponding to each energy supply sub-area in the preset time period are obtained, and the data of the total output energy and the total input energy are processed to obtain the energy processing conversion efficiency data, wherein the energy processing conversion efficiency refers to the ratio of the effective energy output to the input energy after the energy is processed and converted. For example, a thermal power plant burns coal to generate steam, and then generates electricity through a steam turbine. If 100 tons of standard coal (of equal value) are invested, and the electricity finally generated after conversion is equivalent to the energy of 30 tons of standard coal (of equal value), then the energy processing conversion efficiency of the thermal power plant is 30÷100×100% =30%, and the energy recovery rate data is obtained by combining the recycled energy with the total energy consumption data. The energy recovery rate refers to the ratio of the recycled energy in the energy supply sub-area (such as waste heat, waste pressure, exhaust gas and other energy recovered and reused) to the total energy consumption of the energy supply sub-area (including the total amount before recycling). For example, a certain energy supply sub-area generates a large amount of waste heat during the production process, and a part of the heat is recovered through the waste heat recovery device for preheating raw materials, etc. If the recovered waste heat is equivalent to 10% of the total energy consumption of the energy supply sub-area, the energy recovery rate is 10%. By comparing the energy recovery rates of different energy supply sub-areas, we can see the effectiveness of the energy supply sub-area in the reuse of waste energy. Finally, the energy conversion efficiency index is obtained by processing the energy processing conversion efficiency data and the energy recovery rate data; The calculation formula of the energy conversion efficiency index is: ; in, is the energy economic efficiency index of the i-th energy supply sub-region, , are the energy cost-effectiveness data and energy cost-profit rate data of the i-th energy supply sub-region, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset energy monitoring platform).

[0046] According to an embodiment of the present invention, the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index are processed in combination with the energy elasticity coefficient to obtain the energy comprehensive utilization benefit index corresponding to each energy supply sub-region, and each energy supply sub-region is evaluated and adjusted accordingly, including: According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained; Comparing the electric energy comprehensive utilization benefit index with a preset energy comprehensive utilization benefit threshold to obtain a corresponding threshold comparison result; The comprehensive energy utilization benefit eligibility of each energy supply sub-area is evaluated according to the threshold comparison result, and the energy supply sub-area corresponding to the unqualified evaluation result is adjusted accordingly.

[0047] It should be noted that the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index are processed in combination with the energy elasticity coefficient to obtain the energy comprehensive utilization benefit index corresponding to each energy supply sub-region, and then compared with the preset energy comprehensive utilization benefit threshold. According to the threshold comparison results, the energy comprehensive utilization benefit qualification of each energy supply sub-region is evaluated respectively, and the energy supply sub-region corresponding to the unqualified evaluation results is adjusted accordingly; The calculation formula of the energy comprehensive utilization benefit index is: ; in, is the energy economic efficiency index of the i-th energy supply sub-region, , , , are the energy utilization efficiency index, energy economic efficiency index, energy conversion efficiency index, and energy elasticity coefficient of the i-th energy supply sub-region, respectively. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset energy monitoring platform).

[0048] According to an embodiment of the present invention, it also includes: The method further includes: obtaining the energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, and processing to obtain the corresponding energy elasticity coefficient, specifically including: Acquire energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period; The energy consumption characteristic data includes the energy consumption data of the current period and the energy consumption data of the previous period; The economic indicator characteristic data include the industrial added value data of the current period and the industrial added value data of the previous period; The energy elasticity coefficient is obtained by processing the current period energy consumption data and the previous period energy consumption data in combination with the current period industrial value-added data and the previous period industrial value-added data.

[0049] It should be noted that the energy elasticity coefficient refers to the ratio of the growth rate of energy consumption to the economic growth rate (such as the growth rate of industrial added value). For example, if the annual growth rate of industrial added value of a certain enterprise is 10% and the annual growth rate of energy consumption is 5%, then the energy elasticity coefficient of the enterprise is 0.5. It reflects the relationship between economic growth and energy consumption growth.

[0050] The energy monitoring management method and system based on a cloud platform disclosed in the present invention collects energy monitoring information of a target industrial park, extracts energy monitoring characteristic data corresponding to each energy supply sub-area, and displays them in real time on an energy monitoring instrument on the cloud platform, obtains energy consumption data per unit of output value and energy balance rate data corresponding to each energy supply sub-area within a preset time period, processes to obtain a corresponding energy utilization efficiency index, obtains energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, processes to obtain a corresponding energy economic efficiency index, obtains energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, processes to obtain a corresponding energy conversion efficiency index, obtains energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, processes to obtain a corresponding energy elasticity coefficient, processes according to the energy utilization efficiency index, the energy economic efficiency index and the energy conversion efficiency index, combined with the energy elasticity coefficient, obtains the energy comprehensive utilization benefit index corresponding to each energy supply sub-area, and evaluates and adjusts each energy supply sub-area accordingly, thereby realizing a technology for energy monitoring management based on a cloud platform.

[0051] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0052] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0053] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0054] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0055] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A cloud platform-based energy monitoring and management method, characterized in that: The following steps are involved: Collect energy monitoring information of the target industrial park, extract energy monitoring characteristic data corresponding to each energy supply sub-area, and display it in real time on the energy monitoring instrument of the cloud platform; Obtaining the energy consumption data per unit output value and the energy balance rate data of each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index; Obtaining energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy economic efficiency index; Obtaining energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy conversion efficiency index; Obtaining energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, and processing to obtain corresponding energy elasticity coefficients; According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained, and each energy supply sub-area is evaluated and adjusted accordingly.

2. The cloud platform-based energy monitoring and management method according to claim 1, characterized in that: The energy monitoring information of the target industrial park is collected, the energy monitoring characteristic data corresponding to each energy supply sub-area is extracted, and the energy monitoring instrument on the cloud platform is displayed in real time, including: Collect energy monitoring information of the target industrial park, including energy consumption information, energy quality information, energy supply information and energy demand information; Extracting energy monitoring characteristic data corresponding to each energy supply sub-area according to the energy consumption information, energy quality information, energy supply information and energy demand information; The energy monitoring characteristic data includes total energy consumption data, classified energy consumption data, energy quality data, energy supply data and energy demand data; The energy monitoring characteristic data is displayed in real time on the energy monitoring instrument of the cloud platform according to different chart types and different colors; The chart types include line charts, bar charts, pie charts, and dashboards; The colors include green, blue, yellow, orange and red.

3. The cloud platform-based energy monitoring and management method according to claim 2 is characterized in that: The obtaining of the energy consumption data per unit output value and the energy balance rate data of each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index, includes: Obtaining the total energy consumption data, total industrial output value data, energy input data and energy loss data corresponding to each energy supply sub-area within a preset time period; Processing the total energy consumption data and the total industrial output value data to obtain energy consumption data per unit output value; Processing the energy input data and the energy loss data to obtain energy balance rate data; The energy consumption data per unit of output value and the energy balance rate data are processed to obtain a corresponding energy utilization efficiency index.

4. The cloud platform-based energy monitoring and management method according to claim 3 is characterized in that: The obtaining of energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy economic efficiency index, includes: Obtaining energy cost data, total cost data, and total profit data corresponding to each energy supply sub-area within the preset time period; Processing the energy cost data and the total cost data to obtain energy cost-effectiveness data; Processing the energy cost data and the total profit data to obtain energy cost profit rate data; The energy cost-effectiveness data and the energy cost-profit rate data are processed to obtain a corresponding energy economic efficiency index.

5. The cloud platform-based energy monitoring and management method according to claim 4 is characterized in that: The obtaining of the energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain the corresponding energy conversion efficiency index, includes: Obtaining the total output energy data, total input energy data and recycled energy data corresponding to each energy supply sub-area within the preset time period; Processing is performed according to the total data of output energy and the total data of input energy to obtain energy processing conversion efficiency data; Processing the recycled energy amount data in combination with the total energy consumption data to obtain energy recycling rate data; The energy conversion efficiency index is obtained by processing the energy processing conversion efficiency data and the energy recovery utilization rate data.

6. The cloud platform-based energy monitoring and management method according to claim 5, characterized in that: The energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index are processed in combination with the energy elasticity coefficient to obtain the energy comprehensive utilization benefit index corresponding to each energy supply sub-region, and each energy supply sub-region is evaluated and adjusted accordingly, including: According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained; Comparing the electric energy comprehensive utilization benefit index with a preset energy comprehensive utilization benefit threshold to obtain a corresponding threshold comparison result; The comprehensive energy utilization benefit eligibility of each energy supply sub-area is evaluated according to the threshold comparison result, and the energy supply sub-area corresponding to the unqualified evaluation result is adjusted accordingly.

7. An energy monitoring and management system based on a cloud platform, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of an energy monitoring and management method based on a cloud platform, and when the program of the energy monitoring and management method based on a cloud platform is executed by the processor, the following steps are implemented: Collect energy monitoring information of the target industrial park, extract energy monitoring characteristic data corresponding to each energy supply sub-area, and display it in real time on the energy monitoring instrument of the cloud platform; Obtaining the energy consumption data per unit output value and the energy balance rate data of each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index; Obtaining energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy economic efficiency index; Obtaining energy processing conversion efficiency data and energy recovery utilization rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy conversion efficiency index; Obtaining energy consumption characteristic data and economic indicator characteristic data corresponding to each energy supply sub-area within the preset time period, and processing to obtain corresponding energy elasticity coefficients; According to the energy utilization efficiency index, energy economic efficiency index and energy conversion efficiency index, combined with the energy elasticity coefficient, the energy comprehensive utilization benefit index corresponding to each energy supply sub-area is obtained, and each energy supply sub-area is evaluated and adjusted accordingly.

8. The cloud platform-based energy monitoring and management system according to claim 7, characterized in that: The energy monitoring information of the target industrial park is collected, the energy monitoring characteristic data corresponding to each energy supply sub-area is extracted, and the energy monitoring instrument on the cloud platform is displayed in real time, including: Collect energy monitoring information of the target industrial park, including energy consumption information, energy quality information, energy supply information and energy demand information; Extracting energy monitoring characteristic data corresponding to each energy supply sub-area according to the energy consumption information, energy quality information, energy supply information and energy demand information; The energy monitoring characteristic data includes total energy consumption data, classified energy consumption data, energy quality data, energy supply data and energy demand data; The energy monitoring characteristic data is displayed in real time on the energy monitoring instrument of the cloud platform according to different chart types and different colors; The chart types include line charts, bar charts, pie charts, and dashboards; The colors include green, blue, yellow, orange and red.

9. The cloud platform-based energy monitoring and management system according to claim 8, characterized in that: The obtaining of the energy consumption data per unit output value and the energy balance rate data of each energy supply sub-area within a preset time period, and processing to obtain the corresponding energy utilization efficiency index, includes: Obtaining the total energy consumption data, total industrial output value data, energy input data and energy loss data corresponding to each energy supply sub-area within a preset time period; Processing the total energy consumption data and the total industrial output value data to obtain energy consumption data per unit output value; Processing the energy input data and the energy loss data to obtain energy balance rate data; The energy consumption data per unit of output value and the energy balance rate data are processed to obtain a corresponding energy utilization efficiency index.

10. The cloud platform-based energy monitoring and management system according to claim 9, characterized in that: The obtaining of energy cost-effectiveness data and energy cost-profit rate data corresponding to each energy supply sub-area within the preset time period, and processing to obtain a corresponding energy economic efficiency index, includes: Obtaining energy cost data, total cost data, and total profit data corresponding to each energy supply sub-area within the preset time period; Processing the energy cost data and the total cost data to obtain energy cost-effectiveness data; Processing the energy cost data and the total profit data to obtain energy cost profit rate data; The energy cost-effectiveness data and the energy cost-profit rate data are processed to obtain a corresponding energy economic efficiency index.

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