Intelligent heat energy compensation method, terminal equipment and storage medium
By obtaining and analyzing the temperature information of the target space and the wall thermal conductivity coefficient, and adjusting the heating strategy of the comprehensive heating platform in real time, the problems of insufficient or excessive heating caused by the fixed heating strategy in the existing technology are solved, and intelligent heating management under ambient temperature changes are achieved.
Patent Information
- Application Number
- CN202411850561.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-03-18
AI Technical Summary
The existing comprehensive heating platform thermal energy compensation algorithm lacks the impact of real-time environmental factors on thermal energy transmission, which leads to fixed heating strategies and difficult to flexibly adjust, resulting in excessive or insufficient heating.
By obtaining the current indoor temperature, current outdoor temperature and weather information of the target space for a period of time, predict the outdoor temperature and indoor temperature at each time in the future, and combining the thermal conductivity coefficient of the wall under different internal and external temperature differences, the heating strategy is adjusted in real time to keep the indoor temperature above the set standard temperature.
Real-time adjustment of heating strategies according to changes in ambient temperature is achieved to ensure that the indoor temperature is always above the set standards, avoid waste of heat sources, and provide targeted heating.
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Figure CN119642255A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of computer control, and in particular to a thermal energy intelligent compensation method, terminal equipment and storage medium. Background Art
[0002] The integrated heating platform is a system that integrates multiple heating methods and management functions, aiming to optimize energy use, improve heating efficiency, and meet users' comfort needs;
[0003] The operation of the integrated heating platform relies on traditional heat compensation algorithms, but existing algorithms are mostly based on historical data and simple rule models, and lack consideration of the impact of real-time environmental factors on heat conduction, resulting in fixed heat compensation strategies that are difficult to flexibly adjust according to specific circumstances, which in turn leads to excessive heating in some cases and insufficient heating in some others. Summary of the invention
[0004] In view of this, the embodiments of the present application provide a thermal energy intelligent compensation method, a terminal device and a storage medium, which can solve the above-mentioned technical problems.
[0005] A first aspect of an embodiment of the present application provides a thermal energy intelligent compensation method, the thermal energy intelligent compensation method comprising:
[0006] S1: Obtain the current indoor temperature, current outdoor temperature and weather information for the first period in the future of the target space;
[0007] S2: Determine the predicted outdoor temperature at each time point in the first period in the future based on the weather information and the current outdoor temperature;
[0008] S3: Obtain the thermal conductivity of the wall of the target space under different internal and external temperature differences, and determine the predicted indoor temperature at each time point in the first time period in the future according to the current indoor temperature, the current outdoor temperature, each predicted outdoor temperature and each thermal conductivity coefficient;
[0009] S4: Providing indoor heating according to the determined predicted indoor temperature.
[0010] A second aspect of an embodiment of the present application provides a terminal device, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the thermal energy intelligent compensation method.
[0011] A third aspect of an embodiment of the present application provides a terminal-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the processor executes the steps of the thermal energy intelligent compensation method.
[0012] The beneficial effects of the embodiments of the present application compared with the prior art are as follows: the method provided by the present invention includes obtaining the current indoor temperature, the current outdoor temperature and weather information of the target space for the first period of time in the future; determining the predicted outdoor temperature at each time point in the first period of time in the future based on the weather information and the current outdoor temperature; obtaining the thermal conductivity coefficient of the wall of the target space under different internal and external temperature differences, and determining the predicted indoor temperature at each time point in the first period of time in the future based on the current indoor temperature, the current outdoor temperature, each predicted outdoor temperature and each thermal conductivity coefficient; providing indoor heating based on the determined predicted indoor temperature, so that the indoor temperature for the first period of time in the future is always maintained above the set standard temperature; in the present application, it is possible to adjust the heating strategy for the target space in real time based on changes in the ambient temperature, achieve targeted heating, and thus ensure sufficient heating for the target space without wasting heat sources. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0014] Figure 1 It is a schematic diagram of the implementation flow of the thermal energy intelligent compensation method provided in the embodiment of the present application;
[0015] Figure 2 It is a schematic diagram of the implementation environment of the thermal energy intelligent compensation method provided in the embodiment of the present application;
[0016] Figure 3 It is a schematic diagram of a terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0017] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.
[0018] In order to illustrate the technical solution described in this application, a specific embodiment is provided below for illustration.
[0019] Figure 1 A thermal energy intelligent compensation method provided in the first embodiment of the present application is shown, and the thermal energy intelligent compensation method includes:
[0020] S1: Obtain the current indoor temperature, current outdoor temperature and weather information for the first period in the future of the target space;
[0021] S2: Determine the predicted outdoor temperature at each time point in the first period in the future based on the weather information and the current outdoor temperature;
[0022] S3: Obtain the thermal conductivity of the wall of the target space under different internal and external temperature differences, and determine the predicted indoor temperature at each time point in the first time period in the future according to the current indoor temperature, the current outdoor temperature, each predicted outdoor temperature and each thermal conductivity coefficient;
[0023] S4: Providing indoor heating according to the determined predicted indoor temperature.
[0024] In this embodiment, if Figure 2 As shown, the method is executed in a terminal device, which may be an independent physical server or terminal, or a server cluster composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud servers, cloud databases, cloud storage and CDN; the heating system may be a hot water heating system, a steam heating system or other types of heating systems, and a control device is provided in the heating system, and the control device communicates with a computer device, so that the computer device can control the heating system to heat the target space by interacting with the control device; an indoor temperature sensor is provided in the target space, and an outdoor temperature sensor is provided outside the target space, and both the indoor temperature sensor and the outdoor temperature sensor communicate with the computer device, so that the computer device can obtain the current indoor temperature and the current outdoor temperature in real time; the computer device also communicates with a meteorological information terminal, and the meteorological information terminal stores the collected meteorological data and the future weather information predicted based on the meteorological data, and the computer device can obtain weather information from the meteorological information terminal.
[0025] In this embodiment, the target space is a space separated from the outdoors by a wall and requiring heating, such as the interior space of a single-family house, a factory, a warehouse, etc.; the first duration may be 3 hours, 6 hours or other durations, which are not limited here; the weather information includes the weather temperature at each time point in the future; the adjacent intervals of the time points are preset time intervals, such as half an hour, one hour or other durations;
[0026] In the present application, the indoor temperature information, outdoor temperature information and weather information for a period of time in the future of the target space are first obtained, and the future outdoor temperature can be predicted based on the obtained information, and then the future indoor temperature can be predicted, and then the time and amount of compensatory heating are determined according to the predicted future indoor temperature, and then the heating system is controlled to provide heating according to the heating decision made; in the present application, the heating strategy for the target space can be adjusted in real time according to changes in ambient temperature, and targeted heating can be achieved, thereby ensuring sufficient heating for the target space without wasting heat sources.
[0027] As a preferred embodiment, determining the predicted outdoor temperature at each time point of the first time period in the future according to the weather information and the current outdoor temperature includes:
[0028] Retrieving historical outdoor temperature and historical weather information of the target space, and then determining a target ratio of the outdoor temperature to the weather temperature of the target space;
[0029] Determine the weather temperature at each time point in the first future time period according to the weather information of the first future time period;
[0030] For each future time point, the weather temperature at that time point is multiplied by the target ratio to obtain the predicted outdoor temperature at that time point.
[0031] Retrieving the historical outdoor temperature and historical weather information of the target space, and then determining the target ratio of the outdoor temperature to the weather temperature of the target space includes:
[0032] Get the historical outdoor temperature and the corresponding historical weather temperature at several time points in history;
[0033] For each acquired historical outdoor temperature, the single-point ratio is obtained by dividing the historical outdoor temperature by the corresponding historical weather temperature;
[0034] Calculate the average of the ratios of each single point to get the target ratio.
[0035] In this embodiment, the weather temperature is the temperature of a region, and the outdoor temperature of the target space is often inconsistent with the weather temperature. The two often present a certain ratio, namely, the target ratio. By multiplying the weather temperature at each future time point by the target ratio, the predicted outdoor temperature at the corresponding time point can be obtained; the historical time points can be taken within the past week, and the distribution of the taken time points can fall in different time periods, such as taking 2 time points each in the morning, noon and evening, to ensure the uniformity of the points taken.
[0036] As a preferred embodiment, obtaining the thermal conductivity coefficient of the wall of the target space under different internal and external temperature differences, and determining the predicted indoor temperature at each time point of the first time period in the future according to the current indoor temperature, the current outdoor temperature, each predicted outdoor temperature and each thermal conductivity coefficient includes:
[0037] S31: Obtain the wall material, wall area, wall thickness and space volume of the target space;
[0038] S32: Retrieving a temperature difference-heat conductivity comparison table corresponding to the wall material;
[0039] S33: Calculate the temperature difference between the current indoor temperature and the current outdoor temperature;
[0040] S34: determining the thermal conductivity of the wall material at the current time point in a temperature difference-thermal conductivity comparison table according to the temperature difference, and then calculating the amount of heat loss from the current time point to the first time point in the future;
[0041] S35: determining a loss temperature corresponding to the heat loss amount, and subtracting the loss temperature from the current indoor temperature to obtain a predicted indoor temperature at a first time point in the future;
[0042] S36: taking the first time point in the future as the target time point, and calculating the temperature difference between the predicted indoor temperature and the predicted outdoor temperature at the target time point;
[0043] S37: determining the thermal conductivity of the wall material at the target time point according to the temperature difference, and then calculating the heat loss from the target time point to the next time point;
[0044] S38: determining a loss temperature corresponding to the heat loss amount, and subtracting the loss temperature from the predicted indoor temperature at the target time point to obtain a predicted indoor temperature at the next future time point;
[0045] S39: Take the next time point in the future as the target time point, calculate the temperature difference between the predicted indoor temperature and the predicted outdoor temperature at the target time point, and execute steps S37 to S39 until the predicted indoor temperature at each time point of the first time period in the future is obtained.
[0046] The amount of heat loss from the target time point to the next time point is calculated using the following formula:
[0047]
[0048] Among them, Q l is the amount of heat loss, Δt is the time difference from the target time point to the next time point, k is the thermal conductivity coefficient at the target time point, A is the wall area, ΔT is the temperature difference between the predicted indoor temperature and the predicted outdoor temperature at the target time point, and H is the wall thickness.
[0049] The loss temperature corresponding to the heat loss is calculated by the following formula:
[0050]
[0051] Among them, T l is the loss temperature, Q c is the heat loss corresponding to unit temperature loss in unit space volume, and V is the space volume of the target space.
[0052] In this embodiment, the wall described in this application is a broad wall, that is, all isolation surfaces that separate the indoor and outdoor, including vertical walls and house roofs, etc.; in this embodiment, the thermal conductivity coefficients corresponding to the heat energy conduction of different wall materials under the same temperature difference conditions are inconsistent, and a corresponding temperature difference-thermal conductivity coefficient comparison table is preset for each material, and the temperature difference-thermal conductivity coefficient comparison table is obtained by the user through historical data or academic materials queried; the user can determine the loss of heat corresponding to the loss of unit temperature in unit space volume through preliminary experiments, such as determining how much heat should be extracted from 1 cubic meter of space to reduce the space by 1 degree; in this embodiment, the heat loss at two time points can be determined by the thermal conductivity coefficient, and then the indoor temperature at the later time point is obtained by subtracting the heat loss from the indoor temperature at the earlier time point, and then the indoor temperature at each time point of the first time period in the future can be predicted.
[0053] As a preferred embodiment, providing indoor heating according to the determined predicted indoor temperature includes:
[0054] S41: Compare each predicted indoor temperature with the standard temperature, and filter out the predicted indoor temperature that is lower than the standard temperature;
[0055] S42: Determine the target indoor temperature by taking the earliest predicted indoor temperature at the corresponding time point from the screened predicted indoor temperatures;
[0056] S43: determining a target temperature difference between the target indoor temperature and the standard temperature, and then determining a target heating supply according to the target temperature difference;
[0057] S44: When the time corresponding to the target indoor temperature is reached a second time period before the time point, the heating system is controlled to supply the target heating amount to the target space;
[0058] S45: When the heating is completed, execute steps S1 to S3, and S41 to S44, and repeat this step until the heating to the target space is stopped.
[0059] In this embodiment, the standard temperature is a preset temperature, such as 25 degrees; the second time period can be 10 minutes, 20 minutes or other time periods. By setting the second time period, a certain tolerance space can be provided for the predicted indoor temperature. Even if there is a deviation in the predicted indoor temperature (for example, the actual indoor temperature is lower than the standard temperature earlier than the predicted indoor temperature), the room temperature can be ensured to be above the standard temperature; the target temperature difference is multiplied by the absolute value of the lost heat corresponding to the unit temperature lost in the unit space volume, and then multiplied by the space volume of the target space to obtain the target heating amount; stopping heating the target space means that the user stops the operation of the heating system; in this embodiment, this method can be repeated after each compensatory heating is completed, so that the temperature in the target space can always meet the standard.
[0060] A second aspect of an embodiment of the present application provides a terminal device, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the thermal energy intelligent compensation method, specifically including:
[0061] S1: Obtain the current indoor temperature, current outdoor temperature and weather information for the first period in the future of the target space;
[0062] S2: Determine the predicted outdoor temperature at each time point in the first period in the future based on the weather information and the current outdoor temperature;
[0063] S3: Obtain the thermal conductivity of the wall of the target space under different internal and external temperature differences, and determine the predicted indoor temperature at each time point in the first time period in the future according to the current indoor temperature, the current outdoor temperature, each predicted outdoor temperature and each thermal conductivity coefficient;
[0064] S4: Providing indoor heating according to the determined predicted indoor temperature.
[0065] A third aspect of the embodiments of the present application provides a terminal-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the processor executes the steps of the thermal energy intelligent compensation method, specifically including:
[0066] S1: Obtain the current indoor temperature, current outdoor temperature and weather information for the first period in the future of the target space;
[0067] S2: Determine the predicted outdoor temperature at each time point in the first period in the future based on the weather information and the current outdoor temperature;
[0068] S3: Obtain the thermal conductivity of the wall of the target space under different internal and external temperature differences, and determine the predicted indoor temperature at each time point in the first time period in the future according to the current indoor temperature, the current outdoor temperature, each predicted outdoor temperature and each thermal conductivity coefficient;
[0069] S4: Providing indoor heating according to the determined predicted indoor temperature.
[0070] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0071] It should be understood that when used in the present application specification, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.
[0072] It should also be understood that the term “and / or” used in the specification of the present application refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0073] As used in the present specification, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if it is determined" or "if [the described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [the described condition or event] is detected" or "in response to detecting [the described condition or event]" depending on the context.
[0074] In addition, in the description of the present specification, the terms "first", "second", "third", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance. It should also be understood that although the terms "first", "second", etc. are used to describe various elements in some embodiments of the present application in the text, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, the first table can be named as the second table, and similarly, the second table can be named as the first table, without departing from the scope of the various described embodiments. The first table and the second table are both tables, but they are not the same table.
[0075] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.
[0076] The intelligent thermal energy compensation method provided in the embodiment of the present application can be applied to terminal devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptop computers, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiment of the present application does not impose any restrictions on the specific type of the terminal device.
[0077] For example, the terminal device can be a station (STAION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a TV set top box (STB), a customer premises equipment (CPE) and / or other devices for communicating on a wireless system and a next-generation communication system, such as a mobile terminal in a 5G network or a mobile terminal in a future evolved Public Land Mobile Network (PLMN) network, etc.
[0078] As an example but not limitation, when the terminal device is a wearable device, the wearable device can also be a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not just hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include those that are fully functional, large in size, and can achieve complete or partial functions without relying on smartphones, such as smart watches or smart glasses, as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.
[0079] Figure 3 Schematic diagram of the structure of a terminal device provided by an embodiment of the present application. Figure 3 As shown, the terminal device of this embodiment includes: at least one processor ( Figure 3 Only one is shown in the figure), a memory, wherein the memory stores a computer program that can be run on the processor. When the processor executes the computer program, the steps in the above-mentioned thermal energy intelligent compensation method embodiments are implemented, such as Figure 1 Steps S1 to S4 are shown.
[0080] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 3 It is only an example of a terminal device and does not constitute a limitation of the terminal device. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include an input sending device, a network access device, a bus, etc.
[0081] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.
[0082] In some embodiments, the memory may be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The memory may also be an external storage device of the terminal device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the terminal device. Further, the memory may also include both an internal storage unit of the terminal device and an external storage device. The memory is used to store an operating system, an application program, a boot loader (BootLoader), data and other programs, such as the program code of the computer program, etc. The memory may also be used to temporarily store data that has been sent or is to be sent.
[0083] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0084] An embodiment of the present application provides a computer program product. When the computer program product is run on a mobile terminal device, the mobile terminal device can implement the steps in the above-mentioned method embodiments when executing the computer program product.
[0085] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.
[0086] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0087] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0088] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0089] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A thermal energy intelligent compensation method, characterized in that: The thermal energy intelligent compensation method comprises: S1: Obtain the current indoor temperature, current outdoor temperature and weather information for the first period in the future of the target space; S2: Determine the predicted outdoor temperature at each time point in the first period in the future based on the weather information and the current outdoor temperature; S3: Obtain the thermal conductivity of the wall of the target space under different internal and external temperature differences, and determine the predicted indoor temperature at each time point in the first time period in the future according to the current indoor temperature, the current outdoor temperature, each predicted outdoor temperature and each thermal conductivity coefficient; S4: Providing indoor heating according to the determined predicted indoor temperature.
2. The thermal energy intelligent compensation method according to claim 1, characterized in that: The predicted outdoor temperature at each time point in the first period of time in the future is determined based on weather information and the current outdoor temperature, including: Retrieving historical outdoor temperature and historical weather information of the target space, and then determining a target ratio of the outdoor temperature to the weather temperature of the target space; Determine the weather temperature at each time point in the first future time period according to the weather information of the first future time period; For each future time point, the weather temperature at that time point is multiplied by the target ratio to obtain the predicted outdoor temperature at that time point.
3. The thermal energy intelligent compensation method according to claim 2, characterized in that: Retrieving the historical outdoor temperature and historical weather information of the target space, and then determining the target ratio of the outdoor temperature to the weather temperature of the target space includes: Get the historical outdoor temperature and the corresponding historical weather temperature at several time points in history; For each acquired historical outdoor temperature, the single-point ratio is obtained by dividing the historical outdoor temperature by the corresponding historical weather temperature; Calculate the average of the ratios of each single point to get the target ratio.
4. The thermal energy intelligent compensation method according to claim 2, characterized in that: Obtain the thermal conductivity of the wall of the target space under different internal and external temperature differences, and determine the predicted indoor temperature at each time point in the first period of time in the future based on the current indoor temperature, the current outdoor temperature, the predicted outdoor temperatures, and the thermal conductivity coefficients, including: S31: Obtain the wall material, wall area, wall thickness and space volume of the target space; S32: Retrieving a temperature difference-heat conductivity comparison table corresponding to the wall material; S33: Calculate the temperature difference between the current indoor temperature and the current outdoor temperature; S34: determining the thermal conductivity of the wall material at the current time point in a temperature difference-thermal conductivity comparison table according to the temperature difference, and then calculating the amount of heat loss from the current time point to the first time point in the future; S35: determining a loss temperature corresponding to the heat loss amount, and subtracting the loss temperature from the current indoor temperature to obtain a predicted indoor temperature at a first time point in the future; S36: taking the first time point in the future as the target time point, and calculating the temperature difference between the predicted indoor temperature and the predicted outdoor temperature at the target time point; S37: determining the thermal conductivity of the wall material at the target time point according to the temperature difference, and then calculating the heat loss from the target time point to the next time point; S38: determining a loss temperature corresponding to the heat loss amount, and subtracting the loss temperature from the predicted indoor temperature at the target time point to obtain a predicted indoor temperature at the next future time point; S39: Take the next time point in the future as the target time point, calculate the temperature difference between the predicted indoor temperature and the predicted outdoor temperature at the target time point, and execute steps S37 to S39 until the predicted indoor temperature at each time point of the first time period in the future is obtained.
5. The thermal energy intelligent compensation method according to claim 4, characterized in that: The amount of heat loss from the target time point to the next time point is calculated using the following formula: Among them, Q l is the amount of heat loss, Δt is the time difference from the target time point to the next time point, k is the thermal conductivity coefficient at the target time point, A is the wall area, ΔT is the temperature difference between the predicted indoor temperature and the predicted outdoor temperature at the target time point, and H is the wall thickness.
6. The thermal energy intelligent compensation method according to claim 4, characterized in that: The loss temperature corresponding to the heat loss is calculated by the following formula: Among them, T l is the loss temperature, Q c is the heat loss corresponding to unit temperature loss in unit space volume, and V is the space volume of the target space.
7. The thermal energy intelligent compensation method according to claim 1, characterized in that: Providing indoor heating based on the determined predicted indoor temperature includes: S41: Compare each predicted indoor temperature with the standard temperature, and filter out the predicted indoor temperature that is lower than the standard temperature; S42: Determine the target indoor temperature by taking the earliest predicted indoor temperature at the corresponding time point from the screened predicted indoor temperatures; S43: determining a target temperature difference between the target indoor temperature and the standard temperature, and then determining a target heating supply according to the target temperature difference; S44: When the time corresponding to the target indoor temperature is reached a second time period before the time point, the heating system is controlled to supply the target heating amount to the target space; S45: When the heating is completed, execute steps S1 to S3, and S41 to S44, and repeat this step until the heating to the target space is stopped.
8. A terminal device, characterized in that: It comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the thermal energy intelligent compensation method according to any one of claims 1 to 7.
9. A terminal-readable storage medium, characterized in that: A computer program is stored on the terminal-readable storage medium. When the computer program is executed by a processor, the processor executes the steps of the thermal energy intelligent compensation method according to any one of claims 1 to 7.