Heat supply temperature adjusting method, device, equipment and medium

Abstract

The invention provides a heat supply temperature adjusting method and device, equipment and a medium, and relates to the technical field of automatic control. The method comprises the steps that the expected temperature of each user in each area and the first indoor actual temperature are obtained; based on the expected temperature of each user, determining an area average expected temperature of each area; based on the first indoor actual temperature of each user, the regional average indoor actual temperature of each region is determined; and based on the area average expected temperature and the area average indoor actual temperature of each area, heat supply adjusting operation is executed until the indoor temperature of each user reaches the expected temperature, so that the stable operation of the heating system is improved, meanwhile, the personalized requirements are met, energy waste caused by excessive heat supply is reduced, and the overall heat supply efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automation control, in particular to a heating temperature regulation method, device, equipment and medium. BACKGROUND

[0002] In the prior art, the temperature regulation method of the heating system mainly adopts a regional same compensation regulation method, which forcibly unifies the target room temperature, cannot meet the individual needs of different groups and different time periods, has no user feedback mechanism, and has poor user experience; or an indoor manual temperature control valve regulation method, which has no quantitative basis for user adjustment, is highly blind, is difficult to accurately reach the target room temperature, and lacks system coordination in single-house adjustment behavior, which easily destroys the hydraulic balance of the pipe network, affects the overall heating stability, and may increase unnecessary energy consumption. SUMMARY

[0003] Therefore, the purpose of the present application is to provide a heating temperature regulation method, device, equipment and medium to improve the stable operation of the heating system, meet individual needs, reduce energy waste caused by excessive heating, and improve overall heating efficiency.

[0004] In a first aspect, the present application provides a heating temperature regulation method, comprising: obtaining the expected temperature and the first indoor actual temperature of each user in each region; determining the regional average expected temperature of each region based on the expected temperature of each user, and determining the regional average indoor actual temperature of each region based on the first indoor actual temperature of each user; based on the regional average expected temperature and the regional average indoor actual temperature of each region, performing a heating regulation operation until the indoor temperature of each user reaches the expected temperature; wherein the heating regulation operation comprises: determining the target water supply temperature of each region based on the regional average expected temperature and the regional average indoor actual temperature of each region; controlling the action of the total water supply valve of each region to make the water supply temperature of each region reach the target water supply temperature; based on a preset time, obtaining the second indoor actual temperature of each user in each region; based on the error between the second indoor actual temperature and the expected temperature of each user, updating the target water supply temperature.

[0005] Optionally, obtaining the expected temperature and the first indoor actual temperature of each user comprises: obtaining the temperature in the intelligent temperature control panel installed in the indoor of each user as the expected temperature of each user; obtaining the indoor temperature collected by the sensor installed in the indoor of each user as the indoor actual temperature of each user.

[0006] Optionally, the target water supply temperature of each region is determined based on the regional average expected temperature and the regional average indoor actual temperature of each region, comprising: obtaining an outdoor environment temperature; determining the target water supply temperature based on the regional average expected temperature, the regional average indoor actual temperature and the outdoor environment temperature, wherein the target water supply temperature is determined based on a temperature relationship model between the water supply temperature and the regional average expected temperature, the regional average indoor actual temperature and the outdoor environment temperature, and the temperature relationship model is determined based on historical regional average expected temperature, historical regional average indoor actual temperature, historical outdoor environment temperature and historical target water supply temperature.

[0007] Optionally, the outdoor environment temperature comprises an outdoor average temperature and a reference outdoor temperature.

[0008] Optionally, the temperature relationship model is a machine learning model; and the temperature relationship model is determined in the following manner: obtaining each training sample data collected in a set period; wherein each training sample data comprises historical regional average expected temperature, historical regional average indoor actual temperature, historical outdoor environment temperature and historical target water supply temperature collected in the same period; based on each training sample data, iteratively performing a machine learning operation on an initial temperature relationship model until the iteration termination condition is met, and based on each model parameter of the initial temperature relationship model updated when the machine learning operation is last performed, determining the temperature relationship model; wherein the machine learning operation comprises: selecting a target training sample data from each training sample data; inputting the historical regional average expected temperature, the historical regional average indoor actual temperature and the historical outdoor environment temperature contained in the target training sample data into the initial temperature relationship model to obtain the target water supply temperature determined by the initial temperature relationship model; based on the target water supply temperature determined by the initial temperature relationship model and the historical target water supply temperature contained in the target training sample data, determining a current loss value using a loss function, and updating each model parameter of the initial temperature relationship model based on the current loss value.

[0009] Optionally, the absolute value of the single target water supply temperature does not exceed a set threshold.

[0010] Optionally, the heating temperature adjustment method provided by the present application further comprises: determining the valve adjustment value of the single household based on the expected temperature and the first indoor actual temperature of the single household.

[0011] In a second aspect, the present application provides a heating temperature adjustment device, comprising: a data acquisition module for acquiring the expected temperature and the first indoor actual temperature of each user in each region; The data processing module is configured to determine a regional average expected temperature of each region based on the expected temperature of each user, and determine a regional average indoor actual temperature of each region based on the first indoor actual temperature of each user; The temperature adjusting module is configured to perform a heating adjustment operation based on the regional average expected temperature and the regional average indoor actual temperature of each region until the indoor temperature of each user reaches the expected temperature, wherein the heating adjustment operation comprises: determining a target water supply temperature of each region based on the regional average expected temperature and the regional average indoor actual temperature of each region; controlling the total water supply valve of each region to act so that the water supply temperature of each region reaches the target water supply temperature; obtaining the second indoor actual temperature of each user in each region based on a preset time; and updating the target water supply temperature based on the error between the second indoor actual temperature of each user and the expected temperature.

[0012] In a third aspect, the present application provides a heating temperature adjusting device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the above-mentioned heating temperature adjusting method when executing the computer program.

[0013] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions implement the above-mentioned heating temperature adjusting method when executed by a processor.

[0014] The heating temperature adjusting method, device, equipment and medium provided by the present application can obtain the expected temperature and the first indoor actual temperature of each user in each region, determine a regional average expected temperature of each region based on the expected temperature of each user, and determine a regional average indoor actual temperature of each region based on the first indoor actual temperature of each user, and perform a heating adjustment operation based on the regional average expected temperature and the regional average indoor actual temperature of each region until the indoor temperature of each user reaches the expected temperature, so as to improve the stable operation of the heating system while meeting the individual needs, reduce the energy waste caused by excessive heating, and thus improve the overall heating efficiency.

[0015] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0017] Figure 1 A flow chart of a temperature relationship model determination method provided by an embodiment of the present application is shown; Figure 2 A flow chart of a heating temperature adjustment method provided by an embodiment of the present application is shown; Figure 3 A structure diagram of a heating temperature adjustment device provided by an embodiment of the present application is shown; Figure 4 A structure diagram of an electronic device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0018] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0019] There are two common temperature adjustment methods in the heating industry at present. One is a regional same compensation adjustment method, which takes outdoor temperature as the only basis and adjusts according to the linear relationship between temperature and water supply. The adjustment formula is: , wherein, is the water supply temperature, is the basic water supply temperature, K is the compensation coefficient, is the uniform target room temperature, The first method is to adjust the supply water temperature according to the outdoor temperature, wherein most small and medium-sized heating enterprises adopt this method, and the staff needs to adjust the supply water temperature once a day according to the weather forecast, all users execute the same parameters, and the user does not need to participate, the method is simple to operate, but completely ignores the personalized demand, the room temperature experience of different users in the same area is obviously different, and it cannot adapt to diversified demand; the second method is an indoor manual temperature control valve adjustment method, a user installs a manual valve at a heating radiator in a room, and the user adjusts the hot water flow by rotating the valve to indirectly control the room temperature, without fixed calculation logic, and completely depends on the subjective experience and operation experience of the user, wherein part of the newly built community adopts this method, and the user manually adjusts the valve opening degree according to the own feeling, opens the valve when feeling cold, and closes the valve when feeling hot, although the user can intervene independently, but the temperature adjustment lacks scientific basis, and is prone to over-regulation or under-regulation, and the disordered adjustment of a large number of users may affect the overall balance of the heating pipe network, resulting in abnormal room temperature of other users. Therefore, the application provides a heating temperature adjustment method, by acquiring the expected temperature and the first indoor actual temperature of each user in each area; based on the expected temperature of each user, the regional average expected temperature of each area is determined; and based on the first indoor actual temperature of each user, the regional average indoor actual temperature of each area is determined; based on the regional average expected temperature and the regional average indoor actual temperature of each area, a heating adjustment operation is performed until the indoor temperature of each user reaches the expected temperature, to improve the stable operation of the heating system while meeting the personalized demand, reduce energy waste caused by excessive heating, and thus improve the overall heating efficiency.

[0020] After introducing the application scenarios and design ideas of the embodiments of the application, the technical solutions provided by the embodiments of the application are described in detail.

[0021] In order to realize the indoor temperature control of thousands of people, in the embodiments of the application, the heating temperature adjustment device establishes a temperature relationship model between the supply water temperature and the regional average expected temperature, the regional average indoor actual temperature and the outdoor environment temperature before adjusting the temperature of the heating station, next, taking the temperature relationship model as an example, the temperature relationship model determination method is briefly introduced, and the temperature relationship model determination method provided by the embodiments of the application is as shown in the following: Figure 1 The general process of the temperature relationship model determination method provided by the embodiments of the application is as follows: Step 110, the heating temperature adjustment device acquires each training sample data collected according to a set period; wherein each training sample data includes historical regional average expected temperature, historical regional average indoor actual temperature, historical outdoor environment temperature and historical target supply water temperature collected in the same period.

[0022] In the embodiments of the present application, the heating temperature adjusting device can obtain the historical regional average expected temperature, the historical regional average indoor actual temperature, the historical outdoor environment temperature and the historical target water supply temperature of the target region collected according to the set period as sample data. Specifically, the heating temperature adjusting device can obtain the first indoor actual temperature and the expected temperature of each user collected by the sensor installed in the indoor of each user according to the set period; determine the historical regional average expected temperature and the historical average indoor actual temperature based on the first indoor actual temperature and the expected temperature of each user, and obtain the historical outdoor environment temperature collected by the outdoor sensor according to the set period and the historical water supply temperature reported by the heating station as sample data.

[0023] Further, after obtaining each sample data, the heating temperature adjusting device can also perform data cleaning, missing value filling and other processing on each sample data. Then, based on the processed each sample data, each training sample data can be obtained. In one embodiment, the heating temperature adjusting device can take each sample data as a training sample data. In another embodiment, in order to improve the accuracy of the relationship model, the heating temperature adjusting device can also select part of the sample data as training sample data and another part of the sample data as verification sample data to optimize the relationship model.

[0024] In step 120, the heating temperature adjusting device performs machine learning operation on the initial relationship model based on each training sample data. The machine learning operation includes: selecting target training sample data from each training sample data; inputting the historical regional average expected temperature, the historical regional average indoor actual temperature and the historical outdoor environment temperature contained in the target training sample data into the initial temperature relationship model to obtain the target water supply temperature determined by the initial temperature relationship model; determining the current loss value by using the loss function based on the target water supply temperature determined by the initial temperature relationship model and the historical target water supply temperature contained in the target training sample data, and updating each model parameter of the initial temperature relationship model based on the current loss value.

[0025] In actual application, the cross-entropy loss function can measure the difference between the target water supply temperature determined by the initial temperature relationship model and the historical target water supply temperature contained in the target training sample data. The smaller the loss value is, the higher the accuracy of the target water supply temperature determined by the initial temperature relationship model is. Based on this, in the embodiments of the present application, the heating temperature adjusting device can use the cross-entropy loss function to calculate the loss value between the target water supply temperature determined by the initial temperature relationship model and the historical target water supply temperature contained in the target training sample data, and update each model parameter of the initial temperature relationship model based on the current loss value.

[0026] Step 130, the heating temperature adjustment device determines whether the iteration termination condition is met; if yes, step 140 is executed; if no, step 120 is returned.

[0027] In a specific implementation, in one embodiment, the heating temperature adjustment device can determine whether the iteration termination condition is met by determining whether the loss value reaches a preset requirement (for example, is less than a preset threshold, which can be flexibly set according to actual needs), and when the loss value reaches the preset requirement, it is determined that the iteration termination condition is met, otherwise, it is determined that the iteration termination condition is not met. In another embodiment, the heating temperature adjustment device can also determine whether the iteration termination condition is met by determining whether the number of machine learning operations performed on the initial temperature relationship model reaches a preset number (which can be flexibly set according to actual needs), and when the number of machine learning operations performed on the initial temperature relationship model reaches the preset number, it is determined that the iteration termination condition is met, otherwise, it is determined that the iteration termination condition is not met.

[0028] Step 140, the heating temperature adjustment device determines the temperature relationship model based on the model parameters of the initial temperature relationship model updated when the last machine learning operation is performed.

[0029] It is worth noting that in the embodiments of the present application, if the heating temperature adjustment device selects part of the sample data as the training sample data from the sample data, after determining the temperature relationship model, another part of the sample data can be selected as the verification sample data to optimize the temperature relationship model. Specifically, the K-fold cross-validation method can be used to optimize the temperature relationship model based on the verification sample data, so as to obtain the final temperature relationship model.

[0030] Further, after the determination of the temperature relationship model is completed, the heating temperature adjustment device can periodically adjust the water supply temperature of the heating station based on the temperature relationship model to achieve periodic control of the indoor temperature. For example, the water supply temperature of the heating station is adjusted based on the temperature relationship model every 2 hours to achieve one control of the indoor temperature. Specifically, refer to Figure 2 The heating temperature adjustment method provided by the embodiments of the present application is as follows: Step 210, obtaining the expected temperature of each user in each area and the first indoor actual temperature.

[0031] In the embodiments of the present application, the expected temperature of each user and the first indoor actual temperature can be obtained by the following method: obtaining the temperature in the intelligent temperature control panel installed in the indoor of each user as the expected temperature of each user; obtaining the indoor temperature collected by the sensor installed in the indoor of each user as the first indoor actual temperature of each user.

[0032] Specifically, the user sets the desired temperature through an indoor intelligent temperature control panel, wherein the intelligent temperature control panel is provided with physical buttons of 16-26℃, and is internally provided with a high-precision temperature sensor, so that the user can select the target room temperature, i.e. the desired temperature, through one key; wherein the intelligent temperature control panel is also provided with a double-mode setting of day or night, so that the user can set the desired temperature in different time periods, and the intelligent temperature control system can switch the desired temperature according to the preset time period without frequent manual adjustment.

[0033] Further, the intelligent temperature control panel is also used to collect the first indoor actual temperature every interval of preset time (e.g. 30 minutes), and upload the collected first indoor actual temperature and the desired temperature set by the user to the heating temperature adjusting device.

[0034] Step 120, determining the regional average desired temperature of each region based on the desired temperature of each user, and determining the regional average indoor actual temperature of each region based on the first indoor actual temperature of each user.

[0035] In the embodiment of the present application, the heating temperature adjusting device determines the regional average desired temperature according to the desired temperature of each user, and determines the regional average indoor actual temperature according to the first indoor actual temperature of each user, and the specific process of determining the regional average desired temperature and the regional average indoor actual temperature is as follows:

[0036]

[0037] In the formula, is the regional average desired temperature, is the desired temperature of the nth user, and n is the total number of users in the region, is the regional average indoor actual temperature, is the indoor actual temperature of the nth user.

[0038] It should be noted that each building is taken as a region, and the regional average desired temperature and the regional average indoor actual temperature of each region are determined through the desired temperature and the first indoor actual temperature of each user in each building.

[0039] Step 130, based on the regional average expected temperature and the regional average indoor actual temperature of each region, performing a heating regulation operation until the indoor temperature of each user reaches the expected temperature; wherein the heating regulation operation comprises: determining the target water supply temperature of each region based on the regional average expected temperature and the regional average indoor actual temperature of each region; controlling the total water supply valve of each region to act so that the water supply temperature of each region reaches the target water supply temperature; based on the preset time, obtaining the second indoor actual temperature of each user in each region; based on the error between the second indoor actual temperature of each user and the expected temperature, updating the target water supply temperature.

[0040] In the implementation of the present application, the target water supply temperature of each region is determined based on the regional average expected temperature and the regional average indoor actual temperature of each region, which can be achieved by the following way: obtaining the outdoor environment temperature; based on the regional average expected temperature, the regional average indoor actual temperature and the outdoor environment temperature, using a temperature relationship model to predict the target water supply temperature; wherein the temperature relationship model is determined based on historical regional average expected temperature, historical regional average indoor actual temperature, historical outdoor environment temperature and historical target water supply temperature; wherein the outdoor environment temperature includes outdoor average temperature and reference outdoor temperature.

[0041] In order to realize individualized demand and stable balance of the heating system, in the embodiment of the present application, the regional water supply temperature regulation takes the regional average indoor temperature reaching the regional average expected temperature as the target, and its calculation formula is as follows:

[0042] In the formula, The target water supply temperature of the region, a positive value indicates to increase the water supply temperature, and a negative value indicates to decrease the water supply temperature; The user demand weight coefficient; The outdoor temperature correction coefficient; The reference outdoor temperature; The outdoor average temperature of the day.

[0043] It should be noted that the user demand weight coefficient And the outdoor temperature correction coefficient Can be obtained by the above-mentioned temperature relationship model; the reference outdoor temperature is the average low temperature value commonly seen in winter in the local area; the outdoor average temperature of the day can be determined by weather forecast.

[0044] Further, the absolute value of the water supply temperature of the heating station is adjusted each time and does not exceed the set upper limit, so as to avoid the sudden change of the water supply temperature leading to the fluctuation of the online pressure or the indoor dramatic change.

[0045] Further, if there is a user with a large room temperature deviation in the area, the actual indoor temperature of the user is adjusted through precise fine tuning, wherein the final opening degree of the single-house valve can be determined by the following formula:

[0046] In the formula, is the single-house radiator valve opening adjustment percentage (%), is a fine tuning system to avoid sudden changes in room temperature caused by adjustment amplitude, and is generally 0.8.

[0047] Further, the final opening degree of the single-house valve needs to be kept within a reasonable range, and if it is too low, the pipe network balance will be easily damaged, and if it is too high, the subsequent adjustment space will be lost.

[0048] In the embodiment of the present application, the heating temperature adjusting device adjusts the opening degree of the total water supply valve of each area according to the target water supply temperature of each area, changes the water supply temperature to the target water supply temperature, and after stable operation for 1 hour after adjustment, the second actual indoor temperature of each user is re-acquired, and the room temperature deviation is determined according to the second actual indoor temperature and the expected temperature , in the formula, is the second actual indoor temperature, if the room temperature deviation is not greater than 1℃, it is determined that the target water supply temperature is up to standard, and the current state is maintained, if the room temperature deviation is greater than 1℃, the secondary adjustment is started, that is, the second target water supply temperature is determined according to the second actual indoor temperature and the expected temperature of each user by using the temperature relationship model, until the room temperature deviation is greater than 1℃.

[0049] Further, if the single-house room temperature deviation is greater than 1℃, the heating temperature adjusting device sends a fine tuning instruction (i.e. ) to the single-house valve according to the target water supply temperature of each area, and the intelligent temperature panel automatically adjusts the radiator valve opening degree after the fine tuning instruction.

[0050] Further, the heating temperature adjusting device records the adjustment data of each area every day, such as , , and , and periodically optimizes each coefficient such as , and every quarter to adapt to seasonal changes and user demand adjustments.

[0051] The heating temperature adjustment method provided by the embodiments of the present application supports user autonomous selection of desired temperature, and realizes automatic switching of day and night modes, solves the defect that the unified temperature of the traditional method cannot adapt to differentiated needs, and is simple to operate; the target water supply temperature is used to ensure that the overall room temperature of the region meets the standard, and the room temperature of a single household is fine-tuned, taking into account personalized needs and official website stability, avoiding the destruction of the heating system balance caused by single household adjustment; the room temperature deviation is used as the core monitoring index, and if the standard is not met, secondary adjustment is triggered, and the calculation coefficient is optimized periodically, solving the problems of no verification and no optimization after adjustment by the traditional method, and determining the long-term adjustment accuracy; the heating temperature adjustment method of the user setting-data processing-collaborative calculation-execution adjustment-effect feedback loop is used to meet the comfort needs of different people and different time periods, and the user experience is significantly improved; in terms of heating system stability, the two-stage collaborative adjustment logic is used to avoid the impact of single household adjustment on the pipe network balance, maintain overall heating stability, and reduce room temperature abnormalities caused by pipe network imbalance; at the same time, accurate adjustment reduces energy waste caused by excessive heating, and improves heating efficiency; the operation process is simple, no high-cost equipment investment and professional technical training are required, and small and medium-sized heating enterprises and old communities can quickly apply the method, which has strong practical promotion value.

[0052] The embodiments of the present application provide a heating temperature adjustment device, as shown in Figure 3 The heating temperature adjustment device provided by the embodiments of the present application comprises: The data acquisition module 310 is configured to acquire the expected temperature and the first indoor actual temperature of each user in each region. The data processing module 320 is configured to determine the regional average expected temperature of each region based on the expected temperature of each user, and determine the regional average indoor actual temperature of each region based on the first indoor actual temperature of each user. The temperature adjustment module 330 is configured to perform a heating adjustment operation based on the regional average expected temperature and the regional average indoor actual temperature of each region until the indoor temperature of each user reaches the expected temperature, wherein the heating adjustment operation comprises: determining the target water supply temperature of each region based on the regional average expected temperature and the regional average indoor actual temperature of each region; controlling the total water supply valve of each region to act so that the water supply temperature of each region reaches the target water supply temperature; acquiring the second indoor actual temperature of each user in each region based on a preset time; and updating the target water supply temperature based on the error between the second indoor actual temperature and the expected temperature of each user.

[0053] In an optional embodiment, the data acquisition module 310 is configured to: Acquire the temperature in the intelligent temperature control panel installed in the indoor of each user as the expected temperature of each user; and acquire the indoor temperature collected by the sensor installed in the indoor of each user as the indoor actual temperature of each user.

[0054] In an optional embodiment, the temperature adjustment module 330 is configured to: obtain an outdoor environment temperature; determine a target water supply temperature based on the regional average expected temperature, the regional average indoor actual temperature, and the outdoor environment temperature, wherein the target water supply temperature is determined based on a temperature relationship model between the water supply temperature and the regional average expected temperature, the regional average indoor actual temperature, and the outdoor environment temperature, and the temperature relationship model is determined based on historical regional average expected temperature, historical regional average indoor actual temperature, historical outdoor environment temperature, and historical target water supply temperature.

[0055] In an optional embodiment, the outdoor environment temperature comprises an outdoor average temperature and a reference outdoor temperature.

[0056] In an optional embodiment, the temperature adjustment module 330 is configured to: the temperature relationship model is a machine learning model; and the temperature relationship model is determined by: obtaining each training sample data collected in a set period; wherein each training sample data comprises historical regional average expected temperature, historical regional average indoor actual temperature, historical outdoor environment temperature, and historical target water supply temperature collected in the same period; performing machine learning operation on the initial temperature relationship model based on each training sample data iteratively until the iteration termination condition is met, and determining the temperature relationship model based on each model parameter of the initial temperature relationship model updated at the last time of performing machine learning operation; wherein the machine learning operation comprises: selecting target training sample data from each training sample data; inputting the historical regional average expected temperature, the historical regional average indoor actual temperature, and the historical outdoor environment temperature contained in the target training sample data into the initial temperature relationship model to obtain the target water supply temperature determined by the initial temperature relationship model; determining the current loss value based on the target water supply temperature determined by the initial temperature relationship model and the historical target water supply temperature contained in the target training sample data, and updating each model parameter of the initial temperature relationship model based on the current loss value.

[0057] In an optional embodiment, the absolute value of the single target water supply temperature does not exceed a set threshold.

[0058] In an optional embodiment, the temperature adjustment module 330 is configured to: determine the valve adjustment value of the single household based on the expected temperature and the first indoor actual temperature of the single household.

[0059] It should be noted that the principle of solving the technical problem of the heating temperature adjusting device provided in the embodiments of the present application is similar to the heating temperature adjusting method provided in the embodiments of the present application. Therefore, the implementation of the heating temperature adjusting device provided in the embodiments of the present application can be referred to the implementation of the heating temperature adjusting method provided in the embodiments of the present application, and the repeated parts will not be described herein.

[0060] After introducing the heating temperature adjusting method and device provided in the embodiments of the present application, next, the electronic device provided in the embodiments of the present application is briefly introduced.

[0061] Referring to Figure 4 The electronic device 500 provided in the embodiments of the present application at least includes a processor 501, a memory 502 and a computer program stored in the memory 502 and executable on the processor 501, and the processor 501 implements the heating temperature adjusting method provided in the embodiments of the present application when executing the computer program.

[0062] The electronic device 500 provided in the embodiments of the present application can further include a bus 503 connecting different components (including the processor 501 and the memory 502). Wherein, the bus 503 represents one or more of several bus structures, including a memory bus, a peripheral bus, a local bus, etc.

[0063] The memory 502 can include a readable storage medium in the form of a volatile memory, such as a random access memory (RAM) 5021 and / or a cache memory 5022, and can further include a read-only memory (ROM) 5023. The memory 502 can also include a program tool 5025 having a set of (at least one) program modules 5024, including but not limited to an operating system, one or more application programs, other program modules, and program data, each of these examples or some combination thereof can include the implementation of a network environment.

[0064] The processor 501 can be one processing element, or a collective term for multiple processing elements, for example, the processor 501 can be a central processing unit (CPU), or one or more integrated circuits configured to implement the heating temperature adjusting method provided in the embodiments of the present application. Specifically, the processor 501 can be a general-purpose processor, including but not limited to a CPU, an application specific integrated circuit (ASIC), a ready programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc.

[0065] The electronic device 500 can communicate with one or more external devices 504 (such as a keyboard, a mouse, a voice input device, a remote control, etc.) and can also communicate with one or more devices that enable a user to interact with the electronic device 500 (such as a phone, a computer, a headset, etc.) and / or one or more devices (such as a router, a modem, etc.) that enable the electronic device 500 to communicate with one or more other electronic devices. Figure 4 As shown, the network adapter 506 communicates with the other components of the electronic device 500 via bus 503. It should be understood that although not shown, other hardware and / or software components could be used in conjunction with the electronic device 500. These include, but are not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc. Figure 4

[0066] It should be appreciated that the electronic device 500 shown is only one example of an electronic device and should not be taken to limit the scope of functionality of various embodiments of the present application. Figure 4 It should be understood that the electronic device 500 shown is only one example of an electronic device and should not be taken to limit the scope of functionality of various embodiments of the present application.

[0067] The computer readable storage medium provided by the embodiments of the present application is introduced as follows. The computer readable storage medium provided by the embodiments of the present application stores computer instructions, and the computer instructions are executed by a processor to implement the heating temperature adjustment method provided by the embodiments of the present application. Specifically, the computer instructions can be built-in or installed in the processor, so that the processor can implement the heating temperature adjustment method provided by the embodiments of the present application by executing the built-in or installed computer instructions.

[0068] In addition, the heating temperature adjustment method provided by the embodiments of the present application can also be implemented as a computer program product, which includes program codes. When the program codes are run on a processor, the heating temperature adjustment method provided by the embodiments of the present application is implemented.

[0069] ​The computer program product provided by the embodiments of the present application can adopt one or more computer readable storage media, which can be, but are not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any appropriate combination of the above. Specifically, more specific examples (non-exhaustive list) of the computer readable storage media include one or more wires, a portable disc, a hard disk, a RAM, a ROM, an Erasable Programmable Read Only Memory (EPROM), an optical fiber, a portable compact disc read-only memory (Compact Disc Read-Only Memory, CD-ROM), an optical storage device, a magnetic storage device, or any appropriate combination of the above.

[0070] The computer program product provided by the embodiments of the present application can adopt a CD-ROM and include program codes, and can also run on an electronic device such as a computer. However, the computer program product provided by the embodiments of the present application is not limited to this. In the embodiments of the present application, the computer readable storage medium can be any tangible medium containing or storing program codes, which can be used or combined with an instruction execution system, device or apparatus.

[0071] It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided into units for embodiment.

[0072] In addition, although the operations of the method of the present application are described in a specific order in the accompanying drawings, this does not require or imply that the operations must be performed in this specific order, or that all of the shown operations must be performed to achieve the desired result. Additionally or alternatively, certain steps can be omitted, a plurality of steps can be combined into one step, and / or one step can be divided into a plurality of steps.

[0073] Although the preferred embodiments of the present application have been described, those skilled in the art who are familiar with the basic inventive concept can make additional changes and modifications to the embodiments once they get the basic inventive concept. Therefore, the appended claims are intended to include the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0074] It is apparent that a person skilled in the art can make various modifications and variations to the embodiments of the application without departing from the spirit and scope of the application. Therefore, the application is intended to cover the modifications and variations of this application provided they come within the scope of the appended claims and their equivalents.

Claims

1. A method for regulating heating temperature, characterized in that, include: Obtain the expected temperature and the first actual indoor temperature for each user in each area; Based on the desired temperature of each user, determine the regional average desired temperature of each region. And based on the first actual indoor temperature of each user, determine the regional average actual indoor temperature of each of the areas; Based on the average expected temperature and the average actual indoor temperature of each region, a heating regulation operation is performed until the indoor temperature of each user reaches the expected temperature; wherein, the heating regulation operation includes: determining the target water supply temperature for each region based on the average expected temperature and the average actual indoor temperature of each region; controlling the operation of the main water supply valve for each region to make the water supply temperature of each region reach the target water supply temperature; acquiring the second actual indoor temperature of each user in each region based on a preset time; and updating the target water supply temperature based on the error between the second actual indoor temperature of each user and the expected temperature.

2. The heating temperature regulation method according to claim 1, characterized in that, Obtain the desired temperature and the initial actual indoor temperature for each user, including: The temperature displayed on the smart temperature control panel installed in each user's room is used as the desired temperature for each user. The indoor temperature collected by sensors installed in each user's room is used as the first actual indoor temperature for each user.

3. The heating temperature regulation method according to claim 1, characterized in that, Based on the average expected temperature of each region and the average actual indoor temperature of each region, the target water supply temperature for each region is determined, including: Obtain the outdoor ambient temperature; The target water supply temperature is determined based on the region's average expected temperature, the region's average actual indoor temperature, and the outdoor ambient temperature. The target water supply temperature is determined based on a temperature relationship model between the water supply temperature and the region's average expected temperature, the region's average actual indoor temperature, and the outdoor ambient temperature. The temperature relationship model is determined based on historical region average expected temperature, historical region average actual indoor temperature, historical outdoor ambient temperature, and historical target water supply temperatures.

4. The heating temperature regulation method according to claim 3, characterized in that, The outdoor ambient temperature includes the average outdoor temperature and the reference outdoor temperature.

5. The heating temperature regulation method according to claim 4, characterized in that, The temperature relationship model is a machine learning model; the temperature relationship model is determined in the following way: Acquire training sample data collected according to a set period; wherein, each training sample data includes the historical average expected temperature of the area, the historical average actual indoor temperature of the area, the historical outdoor ambient temperature, and the historical target water supply temperature collected in the same period; Based on the training sample data, machine learning operations are iteratively performed on the initial temperature relationship model until the iteration termination condition is met. Then, based on the model parameters of the initial temperature relationship model updated during the last execution of the machine learning operation, the temperature relationship model is determined. The machine learning operation includes: selecting target training sample data from the training sample data; inputting the historical regional average expected temperature, historical regional average actual indoor temperature, and historical outdoor ambient temperature contained in the target training sample data into the initial temperature relationship model to obtain the target water supply temperature determined by the initial temperature relationship model; based on the target water supply temperature determined by the initial temperature relationship model and the historical target water supply temperature contained in the target training sample data, determining the current loss value using a loss function, and updating each model parameter of the initial temperature relationship model based on the current loss value.

6. The heating temperature regulation method according to any one of claims 1 to 5, characterized in that, The absolute value of the target water supply temperature in a single instance shall not exceed the set threshold.

7. The heating temperature regulation method according to claim 1, characterized in that, Also includes: The valve adjustment value for each household is determined based on the desired temperature of the individual household and the actual temperature of the first indoor space.

8. A heating temperature regulating device, characterized in that, include: The data acquisition module is used to acquire the expected temperature and the first actual indoor temperature for each user in each area; The data processing module is used to determine the regional average expected temperature of each region based on the expected temperature of each user. And based on the first actual indoor temperature of each user, determine the regional average actual indoor temperature of each of the areas; A temperature regulation module is used to perform heating regulation operations based on the average expected temperature and the average actual indoor temperature of each of the regions, until the indoor temperature of each user reaches the expected temperature; wherein the heating regulation operation includes: determining a target water supply temperature for each region based on the average expected temperature and the average actual indoor temperature of each region; controlling the operation of the main water supply valve of each region to make the water supply temperature of each region reach the target water supply temperature; acquiring the second actual indoor temperature of each user in each region based on a preset time; and updating the target water supply temperature based on the error between the second actual indoor temperature of each user and the expected temperature.

9. A heating temperature regulating device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the heating temperature regulation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the heating temperature regulation method as described in any one of claims 1 to 7.

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