Energy management intelligent risk monitoring method, system, terminal and storage medium

Abstract

The present application relates to an energy management intelligent risk monitoring method, system, terminal and storage medium, which belongs to the field of energy management; wherein, an energy management intelligent risk monitoring method includes obtaining the stage supply of thermal energy and the stage supply cost corresponding to the stage supply of thermal energy; determining the thermal energy transmission loss according to the established energy transmission path information and heating-related equipment information; obtaining the actual stage thermal energy supply according to the thermal energy stage supply and the thermal energy transmission loss; determining the actual stage room temperature according to the actual stage thermal energy supply and a preset temperature influence model, and determining the stage resident satisfaction according to the actual stage room temperature; obtaining the thermal energy supply selection result according to the stage resident satisfaction and the stage supply cost. The present application can determine the room temperature according to the actual thermal energy supply, and then determine the resident's living satisfaction; and select the most appropriate thermal energy supply by balancing the thermal energy supply cost and the resident satisfaction.

Description

Technical Field

[0001] The present application relates to the field of energy management, and in particular to an energy management intelligent risk monitoring method, system, terminal and storage medium. Background Art

[0002] Energy refers to resources that can provide energy, including heat, electricity, light, etc.; in the colder winter, thermal power plants in cities will use heating energy to heat the city; urban heating energy includes coal, natural gas, electricity, geothermal energy, solar energy and other available energy; heating is to provide heat with natural gas and other heating energy, and supply hot water or hot steam to residents through heating pipes, thereby achieving the purpose of heating; in the actual heating process, the heat provided by the thermal power plant determines the temperature of the room where the residents are; the temperature affects the comfort and satisfaction of the residents. If the residents' satisfaction is low, it will bring risks such as complaints that affect the thermal power plant. Therefore, how to improve residents' satisfaction is a very critical issue. Summary of the Invention

[0003] To solve the above problems, the present application provides an energy management intelligent risk monitoring method, system, terminal and storage medium.

[0004] The first purpose of this application is to provide an intelligent risk monitoring method for energy management.

[0005] The above-mentioned application objective 1 of this application is achieved through the following technical solutions:

[0006] An energy management intelligent risk monitoring method, comprising:

[0007] Obtaining a stage supply amount of thermal energy and a stage supply cost corresponding to the stage supply amount of thermal energy; the stage supply amount of thermal energy includes a total thermal energy supply amount of multiple stages, and the total thermal energy supply amount of each stage is different; the stage supply cost includes the thermal energy supply cost corresponding to the total thermal energy supply amount of different stages;

[0008] Determine the amount of heat energy transmission loss based on the established energy transmission path information and heating-related equipment information;

[0009] Obtaining the actual heat energy supply amount of the stage according to the heat energy supply amount of the stage and the heat energy transmission loss amount;

[0010] Determining the actual room temperature of the stage based on the actual heat energy supply of the stage and a preset temperature impact model, and determining the resident satisfaction of the stage based on the actual room temperature of the stage; the preset temperature impact model includes, when the input is the heat energy supply, the output is the room temperature corresponding to the heat energy supply;

[0011] The heat energy supply selection result is obtained according to the residents' satisfaction and the supply cost in the said stage.

[0012] By adopting the above technical solution, the energy transmission path and heating equipment are analyzed to determine the heat energy transmission loss; the total heat energy supply is deducted from the heat energy transmission loss to obtain the actual heat energy supply; based on the preset temperature impact model and the actual heat energy supply, the corresponding room temperature and the corresponding resident satisfaction at the room temperature are obtained; the final heat energy supply is determined by combining the resident satisfaction and the heat energy supply cost; in this way, the heat energy supply cost is kept reasonable while meeting the residents' requirements for room temperature.

[0013] In a preferred example, the present application may be further configured such that determining the heat energy transmission loss amount based on the established energy transmission path information and heating-related equipment information includes:

[0014] Determining transmission path length information and transmission path status information based on the established energy transmission path information; the transmission path status information includes transmission pipeline age information and transmission path weather information;

[0015] Obtaining the heat loss of the transmission pipeline according to the age information of the transmission pipeline, the weather information of the transmission path, and the length information of the transmission path;

[0016] Obtaining service life information of the heating equipment according to the relevant information of the heating equipment;

[0017] Determining the heat loss of the heating equipment according to the service life information of the heating equipment;

[0018] The heat energy transmission loss is determined based on the heat loss of the transmission pipeline and the heat loss of the heating equipment.

[0019] In a preferred example, the present application may be further configured such that obtaining the heat loss amount of the transmission pipeline according to the transmission pipeline age information, the transmission path weather information, and the transmission path length information includes:

[0020] Determining transmission pipeline aging impact information based on the transmission pipeline age information and a preset pipeline service life aging law; the transmission pipeline aging impact information represents the impact of heat energy transmission loss caused by transmission pipeline aging;

[0021] Determining temperature fluctuation information of the area where the transmission pipeline is located based on the weather information of the transmission path;

[0022] Determining transmission pipeline temperature impact information based on temperature fluctuation information of the area where the transmission pipeline is located; the transmission pipeline temperature impact information represents the impact of heat energy transmission loss caused by the surface temperature of the transmission pipeline;

[0023] The heat loss amount of the transmission pipeline is obtained according to the transmission pipeline aging impact information, the transmission pipeline temperature impact information and the transmission path length information.

[0024] In a preferred example, the present application may be further configured such that the preset temperature impact model includes:

[0025] Obtain historical heating data, historical weather data, residential building layout data in the heating area, and environmental data in the heating area;

[0026] Keeping the residential building layout data and the heating area environmental data the same, selecting the historical weather data of different stages and the corresponding historical heating data to calculate the weather impact sub-rule on the heating temperature;

[0027] Keeping the historical weather data and the heating area environmental data the same, selecting the residential building layout data of the heating area in different sub-areas and the corresponding historical heating data to calculate the layout influence sub-rules of the community layout on the heating temperature;

[0028] Keeping the historical weather data and the residential building layout data of the heating area the same, selecting the heating area environmental data of different sub-areas and the corresponding historical heating data to calculate the environmental impact sub-rule on the heating temperature;

[0029] Determining a correction sub-rule based on the historical heating data; the correction sub-rule represents a sub-rule that indicates the influence of special factors other than weather, community layout and environment on the heating temperature;

[0030] Constructing the preset temperature impact model according to the weather impact sub-rules, layout impact sub-rules, environment impact sub-rules and correction sub-rules;

[0031] Based on the preset temperature influence model, the room temperature is obtained according to the heat energy supply.

[0032] In a preferred example, the present application may be further configured such that determining the resident satisfaction level in a stage according to the actual room temperature in the stage includes:

[0033] Obtain information on room temperature requirements of residents in the heat supply area;

[0034] Obtaining a stage temperature difference according to the actual room temperature of the stage and the room temperature requirement of the residents;

[0035] The resident satisfaction of each stage is obtained according to the temperature difference of each stage and the preset satisfaction calculation rules.

[0036] In a preferred example, the present application may be further configured such that the heat energy supply amount selection result obtained according to the resident satisfaction at the stage and the supply cost at the stage includes:

[0037] Comparing the residents' satisfaction level at the stage with a preset satisfaction threshold, and screening out heat supply plans corresponding to residents' satisfaction levels at stages below the preset satisfaction threshold;

[0038] Calculate the difference between the remaining residents' satisfaction in the said stage and the preset satisfaction threshold;

[0039] Calculating the stage cost difference between the remaining supply cost of the stage and a preset cost threshold;

[0040] Calculate the ratio of the remaining residents' satisfaction in the said stage to the corresponding supply cost to obtain a cost satisfaction ratio value;

[0041] The selection scores corresponding to the respective heat energy supply schemes are obtained according to the satisfaction difference, the stage cost difference and the cost satisfaction ratio, and the selection results are determined according to the selection scores.

[0042] In a preferred example, the present application may be further configured to, before obtaining the actual heat energy supply amount of a stage according to the heat energy supply amount of the stage and the heat energy transmission loss amount, correct the heat energy transmission loss amount based on the heat energy supply amount of the stage, including:

[0043] Determining equipment heating loss change information based on the heating-related equipment information; the equipment heating loss change information includes an amount of equipment heating loss change and a change probability value corresponding to the amount of equipment heating loss change; the amount of equipment heating loss change represents a floating value of the amount of loss presented by the equipment when facing different amounts of heating heat energy supply; the change probability value represents the possibility of fluctuation of the amount of loss presented by the equipment when facing different amounts of heating heat energy supply;

[0044] Obtaining a loss change amount according to the equipment loss change information and the thermal energy supply amount in the stage;

[0045] The heat energy transmission loss amount is corrected according to the loss change amount.

[0046] The second purpose of this application is to provide an energy management intelligent risk monitoring system.

[0047] The second object of the present application is achieved through the following technical solutions:

[0048] An energy management intelligent risk monitoring system, comprising:

[0049] an acquisition module, configured to acquire a heat energy supply quantity for a stage and a stage supply cost corresponding to the heat energy supply quantity for the stage; the heat energy supply quantity for the stage includes a total heat energy supply quantity for multiple stages, the total heat energy supply quantity for each stage being different; and the stage supply cost includes heat energy supply costs corresponding to the total heat energy supply quantity for different stages;

[0050] a determination module, configured to determine the amount of heat energy transmission loss based on established energy transmission path information and heating-related equipment information;

[0051] A calculation module, configured to obtain an actual heat energy supply amount for a stage according to the heat energy supply amount for the stage and the heat energy transmission loss amount;

[0052] An analysis module is configured to determine an actual room temperature in a stage based on the actual amount of heat energy supplied in the stage and a preset temperature impact model, and to determine resident satisfaction in the stage based on the actual room temperature in the stage; the preset temperature impact model includes a method in which, when the input is heat energy content, the output is the room temperature corresponding to the heat energy content;

[0053] The selection module is used to obtain a heat energy supply selection result according to the residents' satisfaction in the said stage and the supply cost in the said stage.

[0054] The third purpose of this application is to provide a terminal.

[0055] The third object of the present application is achieved through the following technical solutions:

[0056] A terminal includes a memory and a processor, wherein the memory stores computer program instructions of the above-mentioned energy management intelligent risk monitoring method that can be loaded and executed by the processor.

[0057] The fourth object of this application is to provide a computer medium capable of storing corresponding programs.

[0058] The fourth object of the present application is achieved through the following technical solutions:

[0059] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any of the above-mentioned energy management intelligent risk monitoring methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a flow chart of an energy management intelligent risk monitoring method in an embodiment of the present application.

[0061] Figure 2 It is a structural diagram of an energy management intelligent risk monitoring system in an embodiment of the present application.

[0062] Explanation of the accompanying drawings: 1. Acquisition module; 2. Determination module; 3. Calculation module; 4. Analysis module. DETAILED DESCRIPTION

[0063] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed, but as long as they are within the scope of the claims of the present application, they are protected by the patent law.

[0064] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0065] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0066] This application provides an energy management intelligent risk monitoring method, the main process of which is described as follows.

[0067] like Figure 1 As shown:

[0068] Step S101: Obtain the stage supply amount of thermal energy and the stage supply cost corresponding to the stage supply amount of thermal energy; the stage supply amount of thermal energy includes the total thermal energy supply amount of multiple stages, and the total thermal energy supply amount of each stage is different; the stage supply cost includes the thermal energy supply cost corresponding to the total thermal energy supply amount of different stages.

[0069] Heating in cities is generally provided by centralized heating facilities such as thermal power plants. When using thermal energy for heating, the total amount of heat energy that can be supplied is controllable. The total amount of heat energy at different stages requires the combustion of varying amounts of fuel, so the amount of heat energy supplied at different stages will have corresponding costs.

[0070] Step S102: determining the heat energy transmission loss amount according to the established energy transmission path information and heating-related equipment information.

[0071] In an embodiment of the present application, the step of determining the heat energy transmission loss amount based on the established energy transmission path information and the heating-related equipment information specifically includes obtaining the transmission pipeline heat loss amount based on the transmission pipeline age information, the transmission path weather information and the transmission path length information; obtaining the heating equipment service life information based on the heating equipment related information; determining the heating equipment heat loss amount based on the heating equipment service life information; and determining the heat energy transmission loss amount based on the transmission pipeline heat loss amount and the heating equipment heat loss amount.

[0072] Among them, the step of obtaining the heat loss amount of the transmission pipeline based on the transmission pipeline age information, the transmission path weather information and the transmission path length information also includes: determining the transmission pipeline aging impact information based on the transmission pipeline age information and the preset pipeline service life aging law; the transmission pipeline aging impact information characterizes the impact of heat energy transmission loss caused by the aging of the transmission pipeline; determining the temperature fluctuation information of the area where the transmission pipeline is located based on the transmission path weather information; determining the transmission pipeline temperature impact information based on the temperature fluctuation information of the area where the transmission pipeline is located; the transmission pipeline temperature impact information characterizes the impact of heat energy transmission loss caused by the surface temperature of the transmission pipeline; and obtaining the transmission pipeline heat loss amount based on the transmission pipeline aging impact information, the transmission pipeline temperature impact information and the transmission path length information.

[0073] After the total amount of heat energy supply is determined in step S101, the actual amount of heat energy supply needs to be further determined; because in the actual heating process, heat loss will occur due to various reasons such as pipeline transmission and weather heating equipment, so the total amount of heat energy supply needs to be deducted from the loss to obtain the final actual amount of heat energy supply.

[0074] For heating equipment, there is the problem of aging due to its long service life, and the aging of equipment will affect the operating efficiency of the equipment; therefore, the heat loss of the heating equipment can be determined through the service life information of the heating equipment; and for the transmission pipeline, its own service life, length and the temperature of the area in which it is located will cause heat loss; it is understandable that the heat loss here can be expressed in the form of a percentage, such as the equipment loss is 5%, the transmission pipeline loss is 15%, etc.

[0075] When analyzing the heat loss of a transmission pipeline, a specific analysis is required from three perspectives: pipeline aging, temperature, and length. Similar to heating equipment, as the transmission pipeline ages, its aging degree also increases. Therefore, the impact of heat loss caused by pipeline aging can be determined based on a preset pipeline aging law. The preset pipeline aging law includes the pipeline's age and the corresponding heat loss.

[0076] When the transmission pipeline is performing heating and transmission work, part of the supplied heat will be absorbed by the pipeline, and the temperature of the pipeline itself will affect the amount of heat absorbed. The temperature of the pipeline itself is affected by the temperature of the area where the pipeline is located. The temperature of the area where the pipeline is located is determined by the weather in the area. Therefore, based on the weather information of the transmission path, the temperature fluctuation information of the area where the pipeline is located can be determined, that is, the upper and lower limits of the temperature of the pipeline itself can be determined according to the weather information. For example, if the temperature of the area where some pipelines are located is determined to be 2℃-12℃ according to the weather information, then the temperature of the pipeline itself will fluctuate by a preset amount on this basis. For example, the preset quantitative floating value of the pipeline in area A is -2℃, which is two degrees lower than the regional temperature. Then the temperature floating information of the pipeline in area A is 0℃-10℃; based on the temperature of the pipeline, the amount of heat energy absorbed by the pipeline can be determined, that is, the impact of heat energy transmission loss caused by the pipeline temperature.

[0077] As for the length of the transmission pipeline, the impact of its length is more based on the distance between the pipeline and the heating source. The closer to the source, the lower the loss, and the farther away from the source, the higher the loss. After combining the service life and temperature of the above-mentioned transmission pipeline, the heat loss of the transmission pipeline can be calculated as a whole.

[0078] After obtaining the heat loss of the transmission pipeline and the heat loss of the heating equipment, the heat energy transmission loss can be obtained by combining the two.

[0079] Step S103: obtaining the actual heat energy supply of the stage according to the heat energy supply of the stage and the heat energy transmission loss.

[0080] In step S101, the total amount of heat energy supply is obtained, and in step S102, the amount of heat energy transmission loss is obtained. The actual amount of heat energy supply can be obtained by subtracting the loss from the total amount of heat energy supply.

[0081] In this embodiment, before obtaining the actual stage heat energy supply based on the stage heat energy supply and the heat energy transmission loss, the heat energy transmission loss needs to be corrected; since the total heat energy supply in different stages is different, and when the total heat energy supply changes, the reduction in heating efficiency of certain aging heating equipment will increase with the increase in the total heat energy supply, that is, the higher the heat supply required, the greater the heat loss, and the changes between the two are not linear, but exponential; in order to solve the above problems, the following technical solution is adopted in this embodiment.

[0082] Specifically, the correction of the heat energy transmission loss based on the thermal energy stage supply includes determining the equipment heating loss change information according to the heating-related equipment information; the equipment heating loss change information includes the equipment heating loss change and the change probability value corresponding to the equipment heating loss change; the equipment heating loss change represents the floating value of the loss presented by the equipment when facing different heating thermal energy supplies; the change probability value represents the possibility of the floating loss presented by the equipment when facing different heating thermal energy supplies; the loss change is obtained according to the equipment loss change information and the thermal energy stage supply; and the heat energy transmission loss is corrected according to the loss change.

[0083] It is understandable that since the loss of heating equipment will increase with the increase of heat energy supply, the efficiency of the increase in loss is not necessarily higher than the efficiency of the increase in heat energy supply, and there is a certain probability for the increase in its own efficiency. Therefore, after determining the change in equipment heating loss, it is also necessary to determine the change probability value corresponding to the change. For example, in stages 1-4, the heat energy supply increases successively. In stage 1, the equipment loss is 2%, the change is 0, and the probability is 0; in stage 2, the equipment loss is 2%, the change is 0, and the probability is 0; in stage 3, the equipment loss is 2%, the change is 1%, and the probability is 50%; in stage 4, the equipment loss is 2%, the change is 2%, and the probability is 80%; from the above example, It can be seen from the figure that when the heat energy supply reaches the maximum value, there is an 80% probability that the equipment loss will suddenly change to 4%, which is a 2% increase compared with stages 1 and 2. It should be noted that the heating-related equipment information here includes the historical heating data of the heating equipment, and the above process is obtained by analyzing and sorting out the historical equipment heating data. After determining the loss changes caused by the equipment corresponding to the heat energy supply in different stages, the heat energy transmission loss is corrected based on the loss changes. In this way, the further heat energy loss caused by equipment aging is taken into account, which improves the comprehensiveness of the analysis of equipment heat loss, thereby improving the comprehensiveness and accuracy of the heat energy transmission loss calculation.

[0084] Step S104: determining the actual room temperature of the stage according to the actual heat energy supply of the stage and a preset temperature influence model, and determining the resident satisfaction of the stage according to the actual room temperature of the stage; the preset temperature influence model includes that when the input is the heat energy supply, the output is the room temperature corresponding to the heat energy supply;

[0085] In an embodiment of the present application, the preset temperature influence model is a model that can convert the heat energy supply into the actual room temperature based on the analysis of historical data; specifically, it includes obtaining historical heating data, historical weather data, heating area residential building layout data and heating area environmental data; keeping the heating area residential building layout data and the heating area environmental data the same, selecting the historical weather data of different stages and the corresponding historical heating data to calculate the weather influence sub-rule on the heating temperature; keeping the historical weather data and the heating area environmental data the same, selecting the heating area residential building layout data of different sub-areas and the corresponding historical heating data to calculate to the sub-rule of the layout influence of the community layout on the heating temperature; keep the historical weather data and the residential building layout data of the heating area the same, select the heating area environmental data of different sub-areas and the corresponding historical heating data to calculate the environmental impact sub-rule of the environment on the heating temperature; determine the correction sub-rule based on the historical heating data; the correction sub-rule represents the sub-rule that special factors other than weather, community layout and environment have an impact on the heating temperature; construct the preset temperature influence model based on the weather influence sub-rule, layout influence sub-rule, environmental influence sub-rule and correction sub-rule; based on the preset temperature influence model, obtain the room temperature according to the heat energy supply.

[0086] In the above process, data analysis is performed based on factors such as weather, residential building layout and environment in historical heating data, and the temperature influence sub-rules corresponding to the three factors are calculated respectively through the control variable method; it can be understood that in the historical heating data, there are temperature changes affected by factors other than weather, residential building layout and environment, and these temperature change influencing factors are divided into correction sub-rules; finally, a preset temperature influence model is constructed through weather influence sub-rules, layout influence sub-rules, environment influence sub-rules and correction sub-rules; the temperature influence value can be calculated through the above weather influence sub-rules, layout influence sub-rules, environment influence sub-rules and correction sub-rules, so when the heat energy supply is input into the preset temperature influence model, the heat energy supply is first converted into the standard temperature, and then the standard temperature and the temperature influence value are calculated to obtain the final actual room temperature; finally, through the constructed preset temperature influence model, it can be achieved that the heat energy supply is input and the room temperature is output.

[0087] In this step, determining the residents' satisfaction level in a stage based on the actual room temperature in the stage specifically includes obtaining the residents' room temperature requirement information in the heat supply area; obtaining the stage temperature difference based on the actual room temperature in the stage and the residents' room temperature requirement; and obtaining the residents' satisfaction level in the stage based on the stage temperature difference and a preset satisfaction calculation rule.

[0088] It can be understood that when calculating the stage residents' satisfaction, for some residents with requirements, specific residents' room temperature requirement information can be used, while for residents without requirements, general standards are used; after obtaining the temperature required by the residents, the difference between the actual temperature and the room temperature requirement value can be obtained; and then the stage residents' satisfaction is obtained according to the preset satisfaction calculation rules.

[0089] The preset satisfaction calculation rules here include obtaining the positive and negative attribute information and the absolute value of the difference based on the stage temperature difference; selecting the satisfaction correction sub-rule based on the positive and negative attribute information of the difference; determining the basic satisfaction value based on the absolute value of the difference; and obtaining the resident satisfaction based on the basic satisfaction value and the satisfaction correction sub-rule.

[0090] Specifically, after obtaining the actual temperature and the residents' room temperature requirements, the actual temperature may be higher than the residents' room temperature requirements, or it may be lower than the room temperature requirements; then when calculating the difference between the two, different results will be obtained. The result has positive and negative attributes, so different correction rules will be used for different attributes; for example, the actual temperature is subtracted from the room temperature requirement to obtain the difference. If the result is positive, it means that the actual temperature is higher than the room temperature requirement, then the residents' satisfaction is high. If the actual temperature is much higher than the room temperature requirement, then the residents' satisfaction may not be very high; if the result is negative, it means that the actual temperature is lower than the room temperature requirement, and the residents' satisfaction is very low. If the actual temperature is much lower than the room temperature requirement, then the residents' satisfaction will be very low; therefore, a basic satisfaction value is first determined by the absolute value of the difference. For example, if the difference is 0.5, which is within the range of 0-1, then the basic satisfaction value is 60. Here, the satisfaction is set to a percentage system. If the attribute of the absolute value is positive, then according to the satisfaction correction sub-rule, the absolute value is within the range of 0-1, the attribute is positive, the correction value is 10, and in full Add 10 to the basic satisfaction value of 60, and the result is 70, so the resident satisfaction is 70; if the attribute of the absolute value is negative, then according to the satisfaction correction sub-rule, the absolute value is in the range of 0-1, the attribute is negative, and the correction value is -15, which is reduced by 15 on the basis of the satisfaction basic value of 60, and the result is 45, so the resident satisfaction is 45; for example, the absolute value of the difference is 4.5, which is in the range of 4-5, and the satisfaction basic value is 50. If the attribute is positive, based on the correction sub-rule, the correction value is -2, and the result is 48; if the attribute is negative, based on the correction sub-rule, the correction value is -30, and the result is 20; it can be seen from the above examples that when the temperature difference is high, whether the actual temperature is higher than the room temperature requirement or lower than the room temperature requirement, the resident satisfaction will not be high under the restriction of the correction sub-rule, and this calculation method is also in line with the actual situation of residents' lives; therefore, through the above method, a reasonable calculation of resident satisfaction can be achieved, thereby improving the comprehensiveness and accuracy of the analysis of resident satisfaction.

[0091] Step S105: obtaining a heat energy supply quantity selection result according to the residents' satisfaction and the supply cost of the stage.

[0092] In an embodiment of the present application, the step of obtaining the heat supply quantity selection result based on the resident satisfaction at the stage and the supply cost at the stage specifically includes: comparing the resident satisfaction at the stage with a preset satisfaction threshold, screening out the heat supply plans corresponding to the resident satisfaction at the stage that is less than the preset satisfaction threshold; calculating the stage satisfaction difference between the remaining resident satisfaction at the stage and the preset satisfaction threshold; calculating the stage cost difference between the remaining supply cost at the stage and the preset cost threshold; calculating the cost satisfaction ratio value by calculating the ratio of the remaining resident satisfaction at the stage to the corresponding supply cost at the stage; obtaining the selection score corresponding to each heat supply plan according to the satisfaction difference, the stage cost difference and the cost satisfaction ratio value, and determining the selection result according to the selection score.

[0093] The stage resident satisfaction is obtained through the above steps S101-S104. Therefore, for the thermal power plant, it is necessary not only to ensure high resident satisfaction but also to ensure reasonable costs. Therefore, it is necessary to balance resident satisfaction and supply costs.

[0094] In this embodiment, the satisfaction threshold is first screened to eliminate heat supply plans with satisfaction below the threshold. In this case, although the supply cost will be very low, it will lead to too low resident satisfaction and bring greater risks. Then, the difference between the resident satisfaction and supply cost at each stage and the preset satisfaction threshold and cost threshold is calculated respectively. It can be understood that the resident satisfaction threshold and cost threshold here can be understood as the resident satisfaction and supply cost under ideal conditions. Since the resident satisfaction and stage cost will affect each other, the above calculation method can effectively analyze the advantages and disadvantages of the heat supply plans at each stage.

[0095] It should be noted that in this embodiment, the impact of the scheme selection brought about by the calculation results of the correlation between resident satisfaction and cost is also referred to, that is, the ratio of resident satisfaction to cost is calculated, which represents the resident satisfaction brought about by each unit cost; in order to ensure the monitoring of risks, part of the cost can be sacrificed to achieve higher satisfaction.

[0096] Finally, the selection scores corresponding to each plan can be calculated based on the satisfaction difference, cost difference and cost satisfaction ratio; and the one with the highest selection score is the final selection result; it can be understood that the heat energy supply plan here refers to the total amount of heat energy provided at different stages.

[0097] By adopting the solution of the present application, a comprehensive and accurate analysis of heat energy loss is achieved, the actual heat energy supply is obtained, the actual room temperature is calculated in combination with the preset temperature influence model, and the residents' satisfaction is obtained based on the actual temperature; while balancing the residents' satisfaction and the heat energy supply cost, the most appropriate heat energy supply solution is output.

[0098] This application also provides an energy management intelligent risk monitoring system, such as Figure 2 As shown, an energy management intelligent risk monitoring system includes, an acquisition module 1, used to obtain the stage supply of thermal energy and the stage supply cost corresponding to the stage supply of thermal energy; the stage supply of thermal energy includes the total thermal energy supply of multiple stages, and the total thermal energy supply of each stage is different; the stage supply cost includes the thermal energy supply cost corresponding to the total thermal energy supply of different stages; a determination module 2, used to determine the thermal energy transmission loss according to the established energy transmission path information and heating-related equipment information; a calculation module 3, used to obtain the actual stage thermal energy supply according to the thermal energy stage supply and the thermal energy transmission loss; an analysis module 4, used to determine the actual stage room temperature according to the actual stage thermal energy supply and a preset temperature influence model, and determine the stage resident satisfaction according to the actual stage room temperature; the preset temperature influence model includes, when the input is thermal energy content, the output is the room temperature corresponding to the thermal energy content; a selection module 5, used to obtain the thermal energy supply selection result according to the stage resident satisfaction and the stage supply cost.

[0099] In order to better execute the program of the above method, the present application also provides a terminal, which includes a memory and a processor.

[0100] The memory can be used to store instructions, programs, codes, code sets, or instruction sets. The memory can include a program storage area and a data storage area. The program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the aforementioned intelligent energy management risk monitoring method. The data storage area can store data involved in the aforementioned intelligent energy management risk monitoring method.

[0101] The processor may include one or more processing cores. The processor executes the various functions of the present application and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory, calling data stored in the memory. The processor may be at least one of a special application integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It is understood that for different devices, the electronic device used to implement the above-mentioned processor functions can also be other, and the embodiments of the present application are not specifically limited.

[0102] The present application also provides a computer-readable storage medium, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, among other media capable of storing program code. The computer-readable storage medium stores a computer program capable of being loaded by a processor and executing the aforementioned intelligent energy management risk monitoring method.

[0103] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this application is not limited to technical solutions formed by a specific combination of the aforementioned technical features. It also encompasses other technical solutions formed by any combination of the aforementioned technical features or their equivalents, without departing from the aforementioned disclosed concepts. For example, a technical solution formed by replacing the aforementioned features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. An intelligent risk monitoring method for energy management, characterized in that: include: Obtaining a stage supply quantity of thermal energy and a stage supply cost corresponding to the stage supply quantity of thermal energy; The thermal energy supply quantity at each stage includes the total thermal energy supply quantity at multiple stages, where the total thermal energy supply quantity at each stage is different; the stage supply cost includes the thermal energy supply cost corresponding to the total thermal energy supply quantity at different stages; Determine the amount of heat energy transmission loss based on the established energy transmission path information and heating-related equipment information; Obtaining the actual heat energy supply amount of the stage according to the heat energy supply amount of the stage and the heat energy transmission loss amount; Determining the actual room temperature of the stage based on the actual heat energy supply of the stage and a preset temperature impact model, and determining the resident satisfaction of the stage based on the actual room temperature of the stage; the preset temperature impact model includes, when the input is the heat energy supply, the output is the room temperature corresponding to the heat energy supply; Obtaining a heat energy supply selection result according to residents' satisfaction and supply cost at the stage; Determining the heat energy transmission loss amount based on the established energy transmission path information and the heating-related equipment information includes determining the transmission path length information and the transmission path status information based on the established energy transmission path information; The transmission path status information includes transmission pipeline age information and transmission path weather information; the transmission pipeline heat loss is obtained based on the transmission pipeline age information, the transmission path weather information, and the transmission path length information; the heating equipment service life information is obtained based on the heating equipment related information; the heating equipment heat loss is determined based on the heating equipment service life information; and the heat energy transmission loss is determined based on the transmission pipeline heat loss and the heating equipment heat loss. The preset temperature influence model includes obtaining historical heating data, historical weather data, heating area residential building layout data and heating area environmental data; keeping the heating area residential building layout data and the heating area environmental data the same, selecting the historical weather data of different stages and the corresponding historical heating data to calculate the weather influence sub-rule of weather on heating temperature; keeping the historical weather data and the heating area environmental data the same, selecting the heating area residential building layout data of different sub-regions and the corresponding historical heating data to calculate the layout influence sub-rule of community layout on heating temperature; keeping the historical weather data and the heating area residential building layout data the same, selecting the heating area environmental data of different sub-regions and the corresponding historical heating data to calculate the environmental influence sub-rule of environment on heating temperature; determining a correction sub-rule according to the historical heating data; the correction sub-rule represents the sub-rule of special factors other than weather, community layout and environment that affect the heating temperature; constructing the preset temperature influence model according to the weather influence sub-rule, layout influence sub-rule, environmental influence sub-rule and correction sub-rule; and obtaining the room temperature according to the heat energy supply based on the preset temperature influence model; Determining the resident satisfaction level at a stage based on the actual room temperature at the stage includes obtaining room temperature requirement information of residents in a heat supply area; obtaining a stage temperature difference value based on the actual room temperature at the stage and the room temperature requirement of the residents; Obtaining the residents' satisfaction level at each stage according to the temperature difference at each stage and a preset satisfaction calculation rule; The preset satisfaction calculation rule includes obtaining the positive and negative attribute information of the difference and the absolute value of the difference according to the stage temperature difference; selecting the satisfaction correction sub-rule according to the positive and negative attribute information of the difference; and determining the basic satisfaction value according to the absolute value of the difference; Obtaining resident satisfaction based on the basic satisfaction value and the satisfaction correction sub-rule; The heat supply quantity selection result obtained according to the resident satisfaction of the stage and the supply cost of the stage includes comparing the resident satisfaction of the stage with a preset satisfaction threshold, and screening out the heat supply plans corresponding to the resident satisfaction of the stage less than the preset satisfaction threshold; Calculate the difference between the remaining residents' satisfaction in the said stage and the preset satisfaction threshold; Calculating the stage cost difference between the remaining supply cost of the stage and a preset cost threshold; Calculating the ratio of the remaining resident satisfaction in the said stage to the corresponding stage supply cost to obtain a cost satisfaction ratio value; obtaining a selection score corresponding to each heat energy supply scheme according to the satisfaction difference, the stage cost difference and the cost satisfaction ratio value, and determining a selection result according to the selection score; Before obtaining the actual stage thermal energy supply according to the stage thermal energy supply and the thermal energy transmission loss, the thermal energy transmission loss is corrected based on the stage thermal energy supply, including determining the equipment heating loss change information according to the heating-related equipment information; the equipment heating loss change information includes the equipment heating loss change and the change probability value corresponding to the equipment heating loss change; the equipment heating loss change represents the floating value of the loss presented by the equipment when facing different heating thermal energy supplies; the change probability value represents the possibility of the floating loss presented by the equipment when facing different heating thermal energy supplies; the loss change is obtained according to the equipment loss change information and the stage thermal energy supply; and the thermal energy transmission loss is corrected according to the loss change.

2. The energy management intelligent risk monitoring method according to claim 1 is characterized in that: The obtaining of the heat loss of the transmission pipeline according to the age information of the transmission pipeline, the weather information of the transmission path, and the length information of the transmission path includes: Determining transmission pipeline aging impact information based on the transmission pipeline age information and a preset pipeline service life aging law; the transmission pipeline aging impact information represents the impact of heat energy transmission loss caused by transmission pipeline aging; Determining temperature fluctuation information of the area where the transmission pipeline is located based on the weather information of the transmission path; Determining transmission pipeline temperature impact information based on temperature fluctuation information of the area where the transmission pipeline is located; the transmission pipeline temperature impact information represents the impact of heat energy transmission loss caused by the surface temperature of the transmission pipeline; The heat loss amount of the transmission pipeline is obtained according to the transmission pipeline aging impact information, the transmission pipeline temperature impact information and the transmission path length information.

3. An energy management intelligent risk monitoring system, characterized in that: include: An acquisition module, configured to acquire a stage supply quantity of thermal energy and a stage supply cost corresponding to the stage supply quantity of thermal energy; The thermal energy supply quantity at each stage includes the total thermal energy supply quantity at multiple stages, where the total thermal energy supply quantity at each stage is different; the stage supply cost includes the thermal energy supply cost corresponding to the total thermal energy supply quantity at different stages; a determination module, configured to determine the amount of heat energy transmission loss based on established energy transmission path information and heating-related equipment information; A calculation module, configured to obtain an actual heat energy supply amount for a stage according to the heat energy supply amount for the stage and the heat energy transmission loss amount; An analysis module is configured to determine an actual room temperature in a stage based on the actual amount of heat energy supplied in the stage and a preset temperature impact model, and to determine resident satisfaction in the stage based on the actual room temperature in the stage; the preset temperature impact model includes a method in which, when the input is heat energy content, the output is the room temperature corresponding to the heat energy content; A selection module is used to obtain a heat energy supply selection result according to the residents' satisfaction and the supply cost of the stage; The system is further configured such that determining the amount of heat energy transmission loss based on the established energy transmission path information and the heating-related equipment information includes determining transmission path length information and transmission path status information based on the established energy transmission path information; The transmission path status information includes transmission pipeline age information and transmission path weather information; the transmission pipeline heat loss is obtained based on the transmission pipeline age information, the transmission path weather information, and the transmission path length information; the heating equipment service life information is obtained based on the heating equipment related information; the heating equipment heat loss is determined based on the heating equipment service life information; and the heat energy transmission loss is determined based on the transmission pipeline heat loss and the heating equipment heat loss. The preset temperature influence model includes obtaining historical heating data, historical weather data, heating area residential building layout data and heating area environmental data; keeping the heating area residential building layout data and the heating area environmental data the same, selecting the historical weather data of different stages and the corresponding historical heating data to calculate the weather influence sub-rule of weather on heating temperature; keeping the historical weather data and the heating area environmental data the same, selecting the heating area residential building layout data of different sub-regions and the corresponding historical heating data to calculate the layout influence sub-rule of community layout on heating temperature; keeping the historical weather data and the heating area residential building layout data the same, selecting the heating area environmental data of different sub-regions and the corresponding historical heating data to calculate the environmental influence sub-rule of environment on heating temperature; determining a correction sub-rule according to the historical heating data; the correction sub-rule represents the sub-rule of special factors other than weather, community layout and environment that affect the heating temperature; constructing the preset temperature influence model according to the weather influence sub-rule, layout influence sub-rule, environmental influence sub-rule and correction sub-rule; and obtaining the room temperature according to the heat energy supply based on the preset temperature influence model; Determining the resident satisfaction level at a stage based on the actual room temperature at the stage includes obtaining room temperature requirement information of residents in a heat supply area; obtaining a stage temperature difference value based on the actual room temperature at the stage and the room temperature requirement of the residents; Obtaining the residents' satisfaction level at each stage according to the temperature difference at each stage and a preset satisfaction calculation rule; The preset satisfaction calculation rule includes obtaining the positive and negative attribute information of the difference and the absolute value of the difference according to the stage temperature difference; selecting the satisfaction correction sub-rule according to the positive and negative attribute information of the difference; and determining the basic satisfaction value according to the absolute value of the difference; Obtaining resident satisfaction based on the basic satisfaction value and the satisfaction correction sub-rule; The heat supply quantity selection result obtained according to the resident satisfaction of the stage and the supply cost of the stage includes comparing the resident satisfaction of the stage with a preset satisfaction threshold, and screening out the heat supply plans corresponding to the resident satisfaction of the stage less than the preset satisfaction threshold; Calculate the difference between the remaining residents' satisfaction in the said stage and the preset satisfaction threshold; Calculating the stage cost difference between the remaining supply cost of the stage and a preset cost threshold; Calculating the ratio of the remaining resident satisfaction in the said stage to the corresponding stage supply cost to obtain a cost satisfaction ratio value; obtaining a selection score corresponding to each heat energy supply scheme according to the satisfaction difference, the stage cost difference and the cost satisfaction ratio value, and determining a selection result according to the selection score; Before obtaining the actual stage thermal energy supply according to the stage thermal energy supply and the thermal energy transmission loss, the thermal energy transmission loss is corrected based on the stage thermal energy supply, including determining the equipment heating loss change information according to the heating-related equipment information; the equipment heating loss change information includes the equipment heating loss change and the change probability value corresponding to the equipment heating loss change; the equipment heating loss change represents the floating value of the loss presented by the equipment when facing different heating thermal energy supplies; the change probability value represents the possibility of the floating loss presented by the equipment when facing different heating thermal energy supplies; the loss change is obtained according to the equipment loss change information and the stage thermal energy supply; and the thermal energy transmission loss is corrected according to the loss change.

4. A terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores computer program instructions that can be loaded by the processor and execute any one of the methods in claims 1-2.

5. A computer-readable storage medium, characterized in that The computer program is stored and can be loaded by a processor to execute the method according to any one of claims 1 to 2.

Images