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

Abstract

The invention relates to an energy management intelligent risk monitoring method and system, a terminal and a storage medium, and belongs to the field of energy management. The energy management intelligent risk monitoring method comprises the steps of obtaining a thermal energy stage supply amount and a stage supply cost corresponding to the thermal energy stage supply amount; the heat energy transmission loss amount is determined according to the set energy transmission path information and the heat supply related equipment information; the actual stage heat energy supply amount is obtained according to the heat energy stage supply amount and the heat energy transmission loss amount; determining a stage actual room temperature according to the stage heat energy actual supply amount and a preset temperature influence model, and determining stage resident satisfaction according to the stage actual room temperature; and obtaining a heat energy supply selection result according to the stage resident satisfaction and the stage supply cost. The room temperature can be determined according to the actual supply amount of heat energy, and then the living satisfaction degree of residents is determined; and the most appropriate heat energy supply amount is selected by balancing the heat energy supply cost and the living 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 days, 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, so as to achieve 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 located; 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 the satisfaction of the residents 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 the present application is achieved through the following technical solutions:

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

[0007] Obtaining a thermal energy stage supply amount and a stage supply cost corresponding to the thermal energy stage supply amount; the thermal energy stage supply amount 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 supply of heat energy for a stage according to the supply of heat energy for the stage and the heat energy transmission loss;

[0010] Determine the actual room temperature of the stage according to the actual supply of heat energy in the stage and the preset temperature influence model, and determine the residents' 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;

[0011] The heat energy supply selection result is obtained according to the residents' satisfaction at the stage and the supply cost at the 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 influence 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 based on 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 as follows: determining the heat energy transmission loss amount according to the established energy transmission path information and the heating-related equipment information includes:

[0014] Determine the transmission path length information and the transmission path status information according to the established energy transmission path information; the transmission path status information includes the transmission pipeline age information and the 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] Determine 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 as follows: obtaining the heat loss of the transmission pipeline according to the transmission pipeline age information, the transmission path weather information and the transmission path length information includes:

[0020] Determine the transmission pipeline aging impact information according to the transmission pipeline age information and the preset pipeline service life aging law; the transmission pipeline aging impact information represents the heat energy transmission loss impact caused by the transmission pipeline aging;

[0021] Determine temperature fluctuation information of the area where the transmission pipeline is located according to the weather information of the transmission path;

[0022] Determine the transmission pipeline temperature influence information according to the temperature fluctuation information of the area where the transmission pipeline is located; the transmission pipeline temperature influence information represents the influence of the 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 as follows: the preset temperature influence 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 of the heating area and the environmental data of the heating area 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;

[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-rule 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] Determine a correction sub-rule according to the historical heating data; the correction sub-rule represents a sub-rule that other special factors other than weather, community layout and environment affect the heating temperature;

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

[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 as follows: 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 stage resident satisfaction is obtained according to the stage temperature difference and the preset satisfaction calculation rules.

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

[0037] Compare the residents' satisfaction at the stage with a preset satisfaction threshold, and filter out the heat supply schemes corresponding to the residents' satisfaction at the stage that is less than 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 stage supply cost to obtain the cost satisfaction ratio value;

[0041] The selection scores corresponding to the various heat 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 supply of stage heat energy according to the stage supply of heat energy and the heat energy transmission loss, correct the heat energy transmission loss based on the stage supply of heat energy, including:

[0043] Determine 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 amount and the change probability value corresponding to the equipment heating loss change amount; the equipment heating loss change amount represents the floating value of the loss amount presented by the equipment when facing different heating heat energy supply amounts; the change probability value represents the possibility of the floating loss amount presented by the equipment when facing different heating heat energy supply amounts;

[0044] Obtaining a loss change amount according to the equipment loss change information and the thermal energy supply amount at 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 application objective of the present application is achieved through the following technical solutions:

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

[0049] An acquisition module is used to acquire a thermal energy stage supply amount and a stage supply cost corresponding to the thermal energy stage supply amount; the thermal energy stage supply amount 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;

[0050] A determination module, used to determine the amount of heat energy transmission loss according to the established energy transmission path information and heating related equipment information;

[0051] A calculation module, used for obtaining the actual supply of heat energy in a stage according to the supply of heat energy in the stage and the heat energy transmission loss;

[0052] An analysis module is used to determine the actual room temperature of the stage according to the actual supply of heat energy in the stage and a preset temperature influence model, and determine the residents' 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 content, the output is the room temperature corresponding to the heat energy content;

[0053] The selection module is used to obtain the 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 application objective of this application is achieved through the following technical solutions:

[0056] A terminal comprises a memory and a processor, wherein the memory stores computer program instructions of the above-mentioned energy management intelligent risk monitoring method which 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 application objective of this 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.

[0060] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0062] Figure 1 It is a flow chart of an energy management intelligent risk monitoring method in an embodiment of the present application.

[0063] Figure 2 It is a structural diagram of an energy management intelligent risk monitoring system in an embodiment of the present application.

[0064] Explanation of the accompanying drawings: 1. Acquisition module; 2. Determination module; 3. Calculation module; 4. Analysis module. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution 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 part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0066] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0067] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0068] The present application provides an energy management intelligent risk monitoring method, and the main process of the method is described as follows.

[0069] like Figure 1 As shown:

[0070] Step S101: 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.

[0071] Heating in cities is generally provided by thermal power plants and other institutions. When thermal energy is used 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 heat energy supply at different stages will correspond to different costs.

[0072] Step S102: Determine the heat energy transmission loss amount according to the established energy transmission path information and heating related equipment information.

[0073] In an embodiment of the present application, the step of determining the heat energy transmission loss amount according to the established energy transmission path information and the heating-related equipment information specifically includes: obtaining the transmission pipeline heat loss amount according to the transmission pipeline age information, the transmission path weather information and the transmission path length information; obtaining the heating equipment service life information according to the heating equipment related information; determining the heating equipment heat loss amount according to the heating equipment service life information; and determining the heat energy transmission loss amount according to the transmission pipeline heat loss amount and the heating equipment heat loss amount.

[0074] Among them, the step of 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 also includes: determining the transmission pipeline aging impact information according to the transmission pipeline age information and the preset pipeline service life aging law; the transmission pipeline aging impact information characterizes the heat energy transmission loss impact caused by the aging of the transmission pipeline; determining the temperature fluctuation information of the area where the transmission pipeline is located according to the transmission path weather information; determining the transmission pipeline temperature impact information according to the temperature fluctuation information of the area where the transmission pipeline is located; the transmission pipeline temperature impact information characterizes the heat energy transmission loss impact caused by the surface temperature of the transmission pipeline; and obtaining the transmission pipeline heat loss amount according to the transmission pipeline aging impact information, the transmission pipeline temperature impact information and the transmission path length information.

[0075] 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.

[0076] 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 by the usage of the heating equipment; and for the transmission pipeline, its own service life, length and the temperature of the area where it is located will cause heat loss; it is understandable that the heat loss here can be reflected in the form of a percentage, such as 5% equipment loss, 15% transmission pipeline loss, etc.

[0077] When analyzing the heat loss of the transmission pipeline, it is necessary to conduct a specific analysis from three perspectives: the aging, temperature, and length of the transmission pipeline. Like heating equipment, as the service life of the transmission pipeline increases, its aging degree also increases. Based on the preset pipeline service life aging law, the heat loss impact caused by the aging of the transmission pipeline can be determined. The preset pipeline service life aging law here includes the service life of the pipeline and the heat loss corresponding to the service life of the pipeline.

[0078] 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 floating 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 be preset quantitatively floated 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℃; the heat energy absorption of the pipeline can be determined according to the temperature of the pipeline, that is, the influence of heat energy transmission loss caused by the pipeline temperature.

[0079] 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.

[0080] 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.

[0081] Step S103: obtaining the actual supply of thermal energy in a stage according to the supply of thermal energy in the stage and the thermal energy transmission loss.

[0082] 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.

[0083] In this embodiment, before obtaining the actual stage heat energy supply according to the stage supply of the thermal energy and the heat energy transmission loss, the heat energy transmission loss needs to be corrected; since the total amount of heat energy supply in different stages is different, and when the total amount of heat energy supply changes, the reduction in heating efficiency of some aging heating equipment will increase with the increase in the total amount of heat energy supply, that is, the higher the amount of heat required to be supplied, the greater the amount of heat lost, and the changes between the two do not show a linear relationship, but an exponential change; in order to solve the above problems, the following technical solution is adopted in this embodiment.

[0084] 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.

[0085] It is understandable that since the loss of heating equipment will increase with the increase of heat energy supply, the increase efficiency of loss is not necessarily higher than the increase efficiency of 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, with successively increasing heat energy supply, 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 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 to stage 1 and stage 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 based on the analysis and collation of the historical equipment heating data. After determining the loss changes caused by the equipment corresponding to the heat supply at different stages, the heat transmission loss is corrected based on the loss changes. In this way, the further heat loss caused by equipment aging is taken into account, which improves the comprehensiveness of the analysis of the equipment heat loss, thereby improving the comprehensiveness and accuracy of the heat transmission loss calculation.

[0086] 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 residents' 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;

[0087] In an embodiment of the present application, the preset temperature influence model is a model that can realize the conversion of heat energy supply into 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 The sub-rule of the layout influence of the community layout on the heating temperature; keeping the historical weather data and the layout data of the residential buildings in 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 of the environment on the heating temperature; determining the correction sub-rule according to the historical heating data; the correction sub-rule represents the sub-rule that the special factors other than weather, community layout and environment 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; based on the preset temperature influence model, the room temperature is obtained according to the heat energy supply.

[0088] 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 realized that the heat energy supply is input and the room temperature is output.

[0089] In this step, determining the stage residents' satisfaction according to the actual room temperature of the stage specifically includes: obtaining the room temperature requirement information of residents in the heat supply area; obtaining the stage temperature difference according to the actual room temperature of the stage and the resident room temperature requirement; and obtaining the stage residents' satisfaction according to the stage temperature difference and a preset satisfaction calculation rule.

[0090] It is understandable 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 can be obtained according to the preset satisfaction calculation rules.

[0091] 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 residents' satisfaction based on the basic satisfaction value and the satisfaction correction sub-rule.

[0092] Specifically, after obtaining the actual temperature and the room temperature requirements of the residents, the actual temperature may be higher than the room temperature requirements of the residents, or it may be lower than the room temperature requirements; then when calculating the difference between the two, different results will be obtained, and the result has positive and negative attributes, so different correction rules will be used for different attributes; for example, the difference is obtained by subtracting the room temperature requirement from the actual temperature. If the result is positive, it means that the actual temperature is higher than the room temperature requirement, and the residents' satisfaction is high. If the actual temperature is much higher than the room temperature requirement, 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, 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 in 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 in the range of 0-1, the attribute is positive, the correction value is 10, and in the full range. Add 10 to the basic satisfaction value of 60, the result is 70, then 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, the correction value is -15, and 15 is subtracted from the basic satisfaction value of 60, the result is 45, then 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 basic satisfaction 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, it will be limited by the correction sub-rule, and the resident satisfaction will not be high, 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.

[0093] Step S105: obtaining a heat energy supply quantity selection result according to the residents' satisfaction at the stage and the supply cost at the stage.

[0094] In an embodiment of the present application, the step of obtaining a heat supply quantity selection result based on the residents' satisfaction at the stage and the supply cost at the stage specifically includes: comparing the residents' satisfaction at the stage with a preset satisfaction threshold, and screening out the heat supply plans corresponding to the residents' satisfaction at the stage that is less than the preset satisfaction threshold; calculating the stage satisfaction difference between the remaining residents' 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 residents' satisfaction at the stage to the corresponding stage supply cost; 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.

[0095] 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.

[0096] In this embodiment, the satisfaction setting threshold is first screened to screen out the heat supply plans with satisfaction levels 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 differences between the resident satisfaction and supply cost at each stage and the preset satisfaction threshold and cost threshold are 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 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.

[0097] It should be noted that in this embodiment, the impact of the solution selection caused by the calculation results of the association between residents' satisfaction and cost is also referenced, that is, the ratio of residents' satisfaction to cost is calculated, which represents the residents' 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.

[0098] 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.

[0099] 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.

[0100] 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 stage supply of thermal energy 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 the 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.

[0101] 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.

[0102] The memory may be used to store instructions, programs, codes, code sets or instruction sets. The memory may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the above-mentioned energy management intelligent risk monitoring method, etc.; the data storage area may store data involved in the above-mentioned energy management intelligent risk monitoring method, etc.

[0103] The processor may include one or more processing cores. The processor calls the data stored in the memory by running or executing the instructions, programs, code sets or instruction sets stored in the memory, performs various functions of the present application and processes data. The processor may be at least one of a special purpose 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 understandable that for different devices, the electronic device used to implement the above-mentioned processor function can also be other, and the embodiments of the present application are not specifically limited.

[0104] The present application also provides a computer-readable storage medium, for example, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc., which can store program codes. The computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above-mentioned energy management intelligent risk monitoring method.

[0105] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. An intelligent risk monitoring method for energy management, characterized in that: include: Obtaining a thermal energy supply quantity at a stage and a stage supply cost corresponding to the thermal energy supply quantity at the stage; The thermal energy stage supply 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; Determine the amount of heat energy transmission loss based on the established energy transmission path information and heating-related equipment information; Obtaining the actual supply of heat energy for a stage according to the supply of heat energy for the stage and the heat energy transmission loss; Determine the actual room temperature of the stage according to the actual supply of heat energy in the stage and the preset temperature influence model, and determine the residents' 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; The heat energy supply selection result is obtained according to the residents' satisfaction at the stage and the supply cost at the stage.

2. The energy management intelligent risk monitoring method according to claim 1 is characterized in that: Determining the heat energy transmission loss amount according to the established energy transmission path information and the heating related equipment information includes: Determine the transmission path length information and the transmission path status information according to the established energy transmission path information; the transmission path status information includes the transmission pipeline age information and the transmission path weather information; 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; Obtaining service life information of the heating equipment according to the relevant information of the heating equipment; Determine the heat loss of the heating equipment according to the service life information of the heating equipment; The heat energy transmission loss is determined based on the heat loss of the transmission pipeline and the heat loss of the heating equipment.

3. The energy management intelligent risk monitoring method according to claim 2 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 comprises: Determine the transmission pipeline aging impact information according to the transmission pipeline age information and the preset pipeline service life aging law; the transmission pipeline aging impact information represents the heat energy transmission loss impact caused by the transmission pipeline aging; Determine temperature fluctuation information of the area where the transmission pipeline is located according to the weather information of the transmission path; Determine the transmission pipeline temperature influence information according to the temperature fluctuation information of the area where the transmission pipeline is located; the transmission pipeline temperature influence information represents the influence of the 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.

4. The energy management intelligent risk monitoring method according to claim 1 is characterized in that: The preset temperature influence model includes: Obtain historical heating data, historical weather data, residential building layout data in the heating area, and environmental data in the heating area; Keeping the residential building layout data of the heating area and the environmental data of the heating area 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 residential building layout data of the heating area in different sub-areas and the corresponding historical heating data to calculate the layout influence sub-rule of the community layout on the heating temperature; 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; Determine a correction sub-rule according to the historical heating data; the correction sub-rule represents a sub-rule that other special factors other than weather, community layout and environment affect the heating temperature; Constructing the preset temperature influence model according to the weather influence sub-rule, layout influence sub-rule, environment influence sub-rule and correction sub-rule; Based on the preset temperature influence model, the room temperature is obtained according to the thermal energy supply.

5. The energy management intelligent risk monitoring method according to claim 1 is characterized in that: Determining the stage resident satisfaction according to the actual room temperature of the stage includes: Obtain information on room temperature requirements of residents in the heat supply area; Obtaining a stage temperature difference according to the actual room temperature of the stage and the room temperature requirement of the residents; The stage resident satisfaction is obtained according to the stage temperature difference and the preset satisfaction calculation rules.

6. The energy management intelligent risk monitoring method according to claim 1 is characterized in that: The heat energy supply quantity selection result obtained according to the residents' satisfaction at the stage and the supply cost at the stage includes: Compare the residents' satisfaction at the stage with a preset satisfaction threshold, and filter out the heat supply schemes corresponding to the residents' satisfaction at the stage that is 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 stage supply cost and a preset cost threshold; Calculate the ratio of the remaining residents' satisfaction in the said stage to the corresponding stage supply cost to obtain the cost satisfaction ratio value; The selection scores corresponding to the various heat 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.

7. The energy management intelligent risk monitoring method according to claim 1 is characterized in that: Before obtaining the actual supply of heat energy in a stage according to the supply of heat energy in a stage and the heat energy transmission loss, correcting the heat energy transmission loss based on the supply of heat energy in a stage includes: Determine 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 amount and the change probability value corresponding to the equipment heating loss change amount; the equipment heating loss change amount represents the floating value of the loss amount presented by the equipment when facing different heating heat energy supply amounts; the change probability value represents the possibility of the floating loss amount presented by the equipment when facing different heating heat energy supply amounts; Obtaining a loss change amount according to the equipment loss change information and the thermal energy supply amount at the stage; The heat energy transmission loss amount is corrected according to the loss change amount.

8. An energy management intelligent risk monitoring system, characterized in that: Includes: An acquisition module, used for acquiring a thermal energy supply quantity at a stage and a stage supply cost corresponding to the thermal energy supply quantity at the stage; The thermal energy stage supply 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, used to determine the amount of heat energy transmission loss according to the established energy transmission path information and heating related equipment information; A calculation module, used for obtaining the actual supply of heat energy in a stage according to the supply of heat energy in the stage and the heat energy transmission loss; An analysis module is used to determine the actual room temperature of the stage according to the actual supply of heat energy in the stage and a preset temperature influence model, and determine the residents' 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 content, the output is the room temperature corresponding to the heat energy content; The selection module is used to obtain the heat energy supply selection result according to the residents' satisfaction in the said stage and the supply cost in the said stage.

9. A terminal, characterized in that: The invention comprises a memory and a processor, wherein the memory stores computer program instructions which can be loaded by the processor and execute any one of the methods in claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

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