A heat supply network energy-saving control method and device, a heat supply system and a medium

Abstract

The application relates to the field of heat supply systems, in particular to a heat supply pipe network energy-saving control method and device, a heat supply system and a medium, the method comprising the following steps: acquiring theoretical temperature information corresponding to each user in a target building in each historical test period, the theoretical temperature information comprising a set temperature corresponding curve of the user and time; determining a heating law sample corresponding to each floor based on the theoretical temperature information corresponding to each user in each floor; and determining a heat supply strategy for the target building based on the heating law sample corresponding to each floor. The application has the effect of reducing the waste of heat supply pipe network heat.

Description

Technical Field

[0001] This application relates to the field of heating systems, and in particular to a method, device, heating system and medium for energy-saving control of heating pipe networks. Background Technology

[0002] Currently, most areas in cities use centralized heating. In related technologies, the hot water supplied from the source of the heating network is always at a high and constant temperature. However, due to the different building structures and materials of different buildings, and the different heating habits and time periods of residents in each building, most of the heat in the heating pipelines is wasted during certain periods of low heating demand. Summary of the Invention

[0003] In order to reduce the waste of heat in heating networks, this application provides a method, device, heating system and medium for energy-saving control of heating networks.

[0004] Firstly, this application provides an energy-saving control method for heating pipe networks, employing the following technical solution:

[0005] A method for energy-saving control of heating pipe networks, comprising:

[0006] Obtain the theoretical temperature information for each household in the target building during each historical test period. The theoretical temperature information includes the curve of the household's set temperature versus time.

[0007] Based on the theoretical temperature information corresponding to each household on each floor, the heating usage pattern sample corresponding to each floor is determined.

[0008] Heating strategies for the target building are determined based on heating usage patterns sampled for each floor.

[0009] By adopting the above technical solution, after obtaining the theoretical temperature information of each household in the target building for each test period, the heating pattern sample corresponding to each floor can be determined based on the theoretical temperature information of each household on each floor. Then, the heating strategy can be determined based on the heating pattern sample corresponding to each floor to carry out targeted heating. Compared with the heating method of constant temperature with relatively high temperature in related technologies, the targeted heating strategy can reduce heat loss.

[0010] In one possible implementation, obtaining the theoretical temperature information corresponding to each household in the target building within each historical test period includes:

[0011] Obtain the actual temperature information of each household in the target building during each historical test period. The actual temperature information is the curve of the actual temperature in the household space versus time.

[0012] Obtain the temperature gain coefficient between unit floors;

[0013] Based on the actual temperature information of each household in the target building during each historical test period and the temperature gain coefficient between units of floors, the theoretical temperature information of each household in the target building during each historical test period is determined.

[0014] By adopting the above technical solution, since there will be temperature differences between adjacent floors, that is, the temperature set by the resident will be different from the actual temperature in the space. The temperature set by the resident is the temperature they need. By using the actual temperature information of each resident and the temperature gain coefficient between units of floors, the theoretical temperature information corresponding to each resident can be determined, which can more accurately represent the heating patterns of the residents.

[0015] In one possible implementation, determining the heating usage pattern sample for each floor based on the theoretical temperature information corresponding to each household on each floor includes:

[0016] Based on the theoretical temperature information corresponding to each household on each floor, the heating usage pattern samples corresponding to each household on each floor are determined.

[0017] The heating pattern sample for each floor is determined based on the heating pattern sample corresponding to each household on each floor.

[0018] In one possible implementation, the step of determining heating usage patterns for each household on each floor based on theoretical temperature information for each household on each floor includes, for any given household:

[0019] Based on the theoretical temperature information corresponding to any household, the theoretical temperature range corresponding to any household in each preset time period is determined.

[0020] Based on the theoretical temperature range corresponding to each household in each preset time period, a heating usage pattern sample corresponding to each household is determined.

[0021] By adopting the above technical solution, based on the theoretical temperature information corresponding to any household, the theoretical temperature range corresponding to any household in each preset time period is determined, thereby determining the heating pattern sample corresponding to any household. The heating pattern sample of the household is divided into multiple preset time periods, which makes it easier to refine the heating pattern sample of any household and improve the accuracy of the sample.

[0022] In one possible implementation, determining the heating pattern sample corresponding to any floor based on the heating pattern samples corresponding to each household on any floor includes:

[0023] Based on the heating patterns of each household on any floor, the comprehensive theoretical temperature range for any floor is determined.

[0024] Based on the comprehensive theoretical temperature range corresponding to any floor, determine the heating usage pattern sample corresponding to any floor.

[0025] In one possible implementation, determining the heating strategy for the target building within a unit period based on heating consumption pattern samples corresponding to each floor includes:

[0026] Determine the heat loss coefficient for each floor, where the heat loss coefficient is the proportion of heat lost when the hot water supplied from the source of the heating network reaches the corresponding floor.

[0027] Based on the heating usage pattern sample for each floor and the heat loss coefficient for each floor, determine the heating demand sample for each floor.

[0028] The heating strategy for the target building is determined based on the heating demand sample corresponding to each floor.

[0029] By adopting the above technical solution, and using the heat loss coefficient and the heating pattern sample corresponding to each floor, it is possible to determine the sample that should actually be heated for each floor, that is, the heating demand sample corresponding to each floor. After considering the heat loss coefficient, it is easier to obtain a more realistic sample of the heating demand that each floor needs to be heated.

[0030] In one possible implementation, determining the heating strategy for the target building based on the heating demand sample corresponding to each floor includes:

[0031] Based on the comprehensive theoretical temperature range corresponding to each floor and the correspondence between the preset floor valve opening and the comprehensive theoretical temperature range, the floor valve opening corresponding to each floor in each preset time period is determined. The floor valve of any floor is used to regulate the flow rate of the heating hot water entering any floor.

[0032] The heating network source hot water temperature is determined based on the heating demand sample corresponding to each floor. The heating strategy includes the heating network source hot water temperature and the floor valve opening degree of each floor in each preset time period.

[0033] Secondly, this application provides an energy-saving control device for heating pipe networks, which adopts the following technical solution:

[0034] An energy-saving control device for heating pipe networks, comprising:

[0035] The theoretical temperature information acquisition module is used to acquire the theoretical temperature information corresponding to each household in the target building in each historical test cycle. The theoretical temperature information includes the curve of the household's set temperature versus time.

[0036] The heating pattern sample determination module is used to determine the heating pattern sample for each floor based on the theoretical temperature information of each household in each floor.

[0037] The heating strategy determines the hot water supply temperature of the heating network based on the comprehensive theoretical temperature range corresponding to each floor. The heating strategy includes the opening degree of the floor valves on each floor and the hot water supply temperature of the heating network.

[0038] In one possible implementation, when the theoretical temperature information acquisition module acquires the theoretical temperature information corresponding to each household in the target building during each historical test period, it is specifically used for:

[0039] Obtain the actual temperature information of each household in the target building during each historical test period. The actual temperature information is the curve of the actual temperature in the household space versus time.

[0040] Obtain the temperature gain coefficient between unit floors;

[0041] Based on the actual temperature information of each household in the target building during each historical test period and the temperature gain coefficient between units of floors, the theoretical temperature information of each household in the target building during each historical test period is determined.

[0042] In one possible implementation, when the heating pattern determination module determines the heating pattern sample for each floor based on the theoretical temperature information corresponding to each household on each floor, it is specifically used for:

[0043] Based on the theoretical temperature information corresponding to each household on each floor, the heating usage pattern samples corresponding to each household on each floor are determined.

[0044] The heating pattern sample for each floor is determined based on the heating pattern sample corresponding to each household on each floor.

[0045] In one possible implementation, when the heating pattern determination module determines the heating pattern sample for each household on each floor based on the theoretical temperature information corresponding to each household on each floor, for any given household, it is specifically used for:

[0046] Based on the theoretical temperature information corresponding to any household, the theoretical temperature range corresponding to any household in each preset time period is determined.

[0047] Based on the theoretical temperature range corresponding to each household in each preset time period, a heating usage pattern sample corresponding to each household is determined.

[0048] In one possible implementation, when the heating pattern determination module determines the heating pattern sample for any floor based on the heating pattern samples corresponding to each household on any floor, it is specifically used for:

[0049] Based on the heating patterns of each household on any floor, the comprehensive theoretical temperature range for any floor is determined.

[0050] Based on the comprehensive theoretical temperature range corresponding to any floor, determine the heating usage pattern sample corresponding to any floor.

[0051] In one possible implementation, when the heating strategy determination module determines the heating strategy for the target building based on heating usage pattern samples corresponding to each floor, it is specifically used for:

[0052] Determine the heat loss coefficient for each floor, where the heat loss coefficient is the proportion of heat lost when the hot water supplied from the source of the heating network reaches the corresponding floor.

[0053] Based on the heating usage pattern sample for each floor and the heat loss coefficient for each floor, determine the heating demand sample for each floor.

[0054] The heating strategy for the target building is determined based on the heating demand sample corresponding to each floor.

[0055] In one possible implementation, when the heating strategy determination module determines the heating strategy for the target building based on the heating demand sample corresponding to each floor, it is specifically used for:

[0056] Based on the comprehensive theoretical temperature range corresponding to each floor and the correspondence between the preset floor valve opening and the comprehensive theoretical temperature range, the floor valve opening corresponding to each floor in each preset time period is determined. The floor valve of any floor is used to regulate the flow rate of the heating hot water entering any floor.

[0057] The heating network source hot water temperature is determined based on the heating demand sample corresponding to each floor. The heating strategy includes the heating network source hot water temperature and the floor valve opening degree of each floor in each preset time period.

[0058] Thirdly, this application provides a heating system, which adopts the following technical solution:

[0059] A heating system comprising:

[0060] Each household has an adjustable temperature electronic valve that is connected to the heating network and can regulate the flow of hot water into the household.

[0061] At least one electronic device;

[0062] Memory;

[0063] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: execute the above-described energy-saving control method for heating pipe networks.

[0064] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0065] A computer-readable storage medium includes: a computer program stored thereon that can be loaded by a processor and execute the above-described energy-saving control method for heating pipe networks.

[0066] In summary, this application includes at least one of the following beneficial technical effects:

[0067] 1. After obtaining the theoretical temperature information of each household in the target building for each test period, the heating pattern sample of each floor can be determined based on the theoretical temperature information of each household on each floor. Then, the heating strategy can be determined based on the heating pattern sample of each floor to carry out targeted heating. Compared with the heating method of constant temperature with relatively high temperature that has always been used in related technologies, the targeted heating strategy can reduce heat loss.

[0068] 2. Due to temperature differences between adjacent floors, the temperature set by residents will differ from the actual temperature in the space. The temperature set by residents is the temperature they need. By using the actual temperature information of each resident and the temperature gain coefficient between units of floors, the theoretical temperature information corresponding to each resident can be determined, which can more accurately represent the heating patterns of residents. Attached Figure Description

[0069] Figure 1 This is a flowchart illustrating the energy-saving control method for heating pipe networks in the embodiments of this application;

[0070] Figure 2 This is a schematic diagram of the structure of the energy-saving control device for the heating network in the embodiments of this application;

[0071] Figure 3 This is a schematic diagram of the heating network supplying heat to each floor of the target building in the embodiments of this application;

[0072] Figure 4This is a schematic diagram of the structure of the electronic device in the embodiments of this application. Detailed Implementation

[0073] The following is in conjunction with the appendix Figure 1-4 This application will be described in further detail.

[0074] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0075] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0076] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0077] This application provides an energy-saving control method for heating pipe networks, executed by electronic devices. These electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and vehicle-mounted terminals (e.g., vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be used. (See reference...) Figure 1 A method for energy-saving control of heating pipe networks includes steps S11-S13, wherein:

[0078] Step S11: Obtain the theoretical temperature information corresponding to each household in the target building during each historical test period. The theoretical temperature information includes the curve of the household's set temperature versus time.

[0079] In this embodiment of the application, there are at least two test cycles, and the time period of each test cycle is the same. However, the specific duration of the test cycle is not limited in this embodiment of the application. Since the heating patterns of general households are presented on a daily basis, the test cycle only needs to be less than or equal to 24 hours. For example, each test cycle is from 0:00 AM to 12:00 PM, or it can be from 0:00 AM to 11:59 PM.

[0080] Furthermore, the temperature-time curve can be set by each household; if the heating network enters each household's home using a smart valve with temperature control, the electronic equipment can also directly obtain the set temperature of each household through the smart valve, and thus obtain the theoretical temperature information corresponding to each household.

[0081] Step S12: Based on the theoretical temperature information corresponding to each household on each floor, determine the heating usage pattern sample corresponding to each floor.

[0082] Specifically, based on the theoretical temperature information corresponding to each household on each floor, the heating pattern sample corresponding to each household on each floor is determined, and based on the heating pattern sample corresponding to each household on each floor, the heating pattern sample corresponding to each floor is determined.

[0083] In this embodiment of the application, each household on each floor is identified, and all theoretical temperature information corresponding to each household on each floor is collected. Based on this information, a heating pattern sample corresponding to each floor is obtained. The heating pattern sample of any floor represents the actual heating demand and heating habits of the corresponding floor.

[0084] Step S13: Determine the heating strategy for the target building based on the heating pattern samples corresponding to each floor.

[0085] In this embodiment of the application, since the heating pattern sample of any floor represents the actual heating demand and heating habits of the corresponding floor, the heating strategy determined based on the heating pattern sample corresponding to each floor can reduce the additional heating while meeting the heating demand of each floor in the target building, thus reducing the waste of heat.

[0086] Furthermore, obtaining the theoretical temperature information corresponding to each household in the target building within each historical testing period may include steps S111 (not shown in the figure) - S113 (not shown in the figure), wherein:

[0087] Step S111: Obtain the actual temperature information of each household in the target building during each historical test period. The actual temperature information is the curve of the actual temperature in the household space versus time.

[0088] Specifically, this application discloses that if a temperature-controlled smart valve is installed at the entrance of the heating network to a household, electronic equipment can directly obtain the correspondence between the theoretical temperature and time set by the resident through the smart valve, thereby obtaining theoretical temperature information. If a temperature-controlled smart valve is installed at the entrance of the heating network to a household, the actual temperature versus time curve in each household can be obtained through a temperature sensor installed in each household.

[0089] Step S112: Obtain the temperature gain coefficient between unit floors.

[0090] Specifically, since heat radiates within a space, there is a mutual temperature amplification effect between adjacent floors. For example, on the same floor, if the second and fourth floors are both heated, the temperature on the third floor might be 10 degrees Celsius; if the second and fourth floors are both heated, their temperatures would both be 30 degrees Celsius. Even if the third floor is not heated, its temperature could still reach 20 degrees Celsius. Furthermore, we need to obtain the vertical gain coefficient of the upper floor temperature on the lower floor temperature when the upper floor temperature is higher than the lower floor temperature, and simultaneously obtain the horizontal gain coefficient of the lower floor temperature on the upper floor temperature when the lower floor temperature is higher than the upper floor temperature. Both the vertical gain coefficient and the horizontal gain coefficient can be obtained through multiple experiments.

[0091] Step S113: Based on the actual temperature information of each household in the target building and the temperature gain coefficient between units of floors in each historical test period, determine the theoretical temperature information of each household in the target building in each historical test period.

[0092] Specifically, based on the actual temperature information of each household and the actual temperature information of the households on the floors above and below it, and combined with the upper and lower gain coefficients and the lower and upper gain coefficients, the theoretical temperature information of each household can be determined.

[0093] Furthermore, based on the theoretical temperature information corresponding to each household on each floor, heating usage pattern samples corresponding to each household on each floor are determined. For any household, this includes steps S121 (not shown in the figure) and S122 (not shown in the figure), wherein:

[0094] Step S121: Based on the theoretical temperature information corresponding to any household, determine the theoretical temperature range corresponding to any household in each preset time period.

[0095] Specifically, each preset time period is determined based on the test cycle, meaning all preset time periods fall within the test cycle. For example, each preset time period can be one hour. If the test cycle is from 8:00 AM to 12:00 PM, then it includes four time periods: 8:00 AM to 9:00 AM, 9:00 AM to 10:00 AM, 10:00 AM to 11:00 AM, and 11:00 AM to 12:00 PM. Simultaneously, for any resident, based on all their theoretical temperature information, their theoretical temperature range within each preset time period is determined. Since there are multiple test cycles, each resident has multiple theoretical temperature ranges corresponding to each preset time period. For each time period's corresponding theoretical temperature range, the union or intersection of all corresponding theoretical temperature ranges is taken. For example, for a resident, the theoretical temperature ranges corresponding to the preset time period from 8:00 AM to 12:00 PM in different test cycles are [20℃-23℃], [21℃-24℃], and [19℃-23℃], respectively. Therefore, the determined theoretical temperature information for this resident during the preset time period from 8:00 AM to 12:00 PM is [19℃-24℃].

[0096] Step S122: Based on the theoretical temperature range corresponding to each household in each preset time period, determine the heating usage pattern sample corresponding to each household.

[0097] Specifically, the theoretical temperature ranges corresponding to each preset time period for any household are arranged sequentially according to the time sequence of the time periods to obtain a sample of heating usage patterns for any household.

[0098] Furthermore, based on the heating pattern samples corresponding to each household on any floor, the heating pattern sample corresponding to that floor is determined, including step SA (not shown in the figure) and step SB, where:

[0099] Step SA: Based on the heating usage patterns of each household on any floor, determine the comprehensive theoretical temperature range for any floor.

[0100] Specifically, in step S122, a heating usage pattern sample for any household can be obtained. When determining the comprehensive theoretical temperature range for any floor, a heating usage pattern sample for each household on any floor is obtained. The union of the required temperature ranges for each household in the same preset time period is taken to obtain the comprehensive theoretical temperature range for any floor in that preset time period. Thus, the comprehensive theoretical temperature range for any floor in each preset time period can be obtained.

[0101] Step SB: Based on the comprehensive demand corresponding to any floor as the temperature range, determine the heating pattern sample corresponding to any floor.

[0102] Specifically, the comprehensive theoretical temperature ranges corresponding to any floor in each preset time period are arranged in chronological order according to the time period to obtain a sample of heating usage patterns for any floor.

[0103] Further, step S13 includes steps S131 (not shown in the figure) - S133 (not shown in the figure), wherein:

[0104] Step S131: Determine the heat loss coefficient for each floor. The heat loss coefficient is the proportion of heat loss when the hot water supplied from the source of the heating network reaches the corresponding floor.

[0105] Specifically, heat loss occurs when hot water from the heating network enters each floor through the pipes. For example, if the hot water source of the heating network is 70℃, the temperature of the hot water entering the first floor may be 69℃, the second floor may be 67℃, and so on, reaching 60℃ on the tenth floor. The heat loss coefficient for each floor can be measured in advance. Further, in step S132, based on the heating consumption pattern sample for each floor and the heat loss coefficient for each floor, the heating demand sample for each floor is determined.

[0106] The heating demand sample for each floor is determined by adding the heat loss corresponding to the heat loss coefficient to the sample of heating patterns for each floor.

[0107] Step S133: Determine the heating strategy for the target building based on the heating demand sample corresponding to each floor.

[0108] Step S133 may specifically include steps SL (not shown in the figure) and SM (not shown in the figure), wherein:

[0109] Step SL: Based on the comprehensive theoretical temperature range corresponding to each floor and the pre-set correspondence between the floor valve opening and the comprehensive theoretical temperature range, determine the floor valve opening corresponding to each floor in each pre-set time period. The floor valve of any floor is used to regulate the flow rate of the heating hot water entering any floor.

[0110] Specifically, a floor valve is installed on each floor. The floor valve on any given floor regulates the flow rate of hot water entering that floor from the source of the heating network. A pre-defined correspondence is established between the valve opening degree on any floor and the comprehensive theoretical temperature range of that floor. Based on the comprehensive theoretical temperature range corresponding to each floor and the pre-defined correspondence between the floor valve opening degree and the comprehensive theoretical temperature range of the floor, the corresponding floor valve opening degree for each floor during each pre-defined time period is determined.

[0111] Step SM: Determine the hot water supply temperature at the source of the heating network based on the comprehensive theoretical temperature range corresponding to each floor. The heating strategy includes the hot water supply temperature at the source of the heating network and the opening degree of the floor valves on each floor within each preset time period.

[0112] Specifically, based on T1 = (T - T2)a, the hot water temperature at the source of the heating network is determined. Here, T1 is the temperature value corresponding to any preset time period in the heating pattern sample for any floor, T is the temperature of the hot water provided by the source of the heating network, T2 is the heat loss coefficient corresponding to any floor, and a is the ratio of the temperature of the incoming hot water to the indoor temperature of the resident.

[0113] Furthermore, by using the heating demand samples corresponding to each floor and the above formula, the temperature T corresponding to each floor can be determined. Then, based on the T corresponding to each floor, the mode or highest value can be determined as the hot water supply temperature in the heating strategy for the target building.

[0114] The above embodiments describe an energy-saving control method for heating pipe networks from the perspective of process flow. The following embodiments describe an energy-saving control device for heating pipe networks from the perspective of virtual modules or virtual units. For details, please refer to the following embodiments.

[0115] This application provides an energy-saving control device for heating pipe networks, such as... Figure 2 As shown, the energy-saving control device for the heating network may specifically include a theoretical temperature information acquisition module 201, a heating consumption pattern sample determination module 202, and a heating strategy determination module 203, wherein:

[0116] The theoretical temperature information acquisition module 201 is used to acquire the theoretical temperature information corresponding to each household in the target building in each historical test cycle. The theoretical temperature information includes the curve of the household's set temperature versus time.

[0117] The heating pattern determination module 202 is used to determine the heating pattern sample for each floor based on the theoretical temperature information corresponding to each household on each floor.

[0118] The heating strategy determination module 203 is used to determine the hot water temperature of the heating network based on the comprehensive theoretical temperature range corresponding to each floor. The heating strategy includes the opening degree of the floor valves on each floor and the hot water temperature of the heating network.

[0119] In one possible implementation, when the theoretical temperature information acquisition module 201 acquires the theoretical temperature information corresponding to each household in the target building during each historical test period, it is specifically used for:

[0120] Obtain the actual temperature information for each household in the target building during each historical test period. The actual temperature information is the curve showing the actual temperature in the household space versus time.

[0121] Obtain the temperature gain coefficient between unit floors;

[0122] Based on the actual temperature information of each household in the target building during each historical test period and the temperature gain coefficient between units of floors, the theoretical temperature information of each household in the target building during each historical test period is determined.

[0123] In one possible implementation, when the heating pattern determination module 202 determines the heating pattern sample for each floor based on the theoretical temperature information corresponding to each household on each floor, it is specifically used for:

[0124] Based on the theoretical temperature information corresponding to each household on each floor, the heating usage pattern samples corresponding to each household on each floor are determined.

[0125] The heating pattern sample for each floor is determined based on the heating pattern sample corresponding to each household on each floor.

[0126] In one possible implementation, when the heating pattern determination module 202 determines the heating pattern sample for each household on each floor based on the theoretical temperature information corresponding to each household on each floor, for any given household, it is specifically used for:

[0127] Based on the theoretical temperature information corresponding to any household, determine the theoretical temperature range corresponding to any household in each preset time period.

[0128] Based on the theoretical temperature range corresponding to each household in each preset time period, the heating usage pattern sample corresponding to each household is determined.

[0129] In one possible implementation, when the heating pattern determination module 202 determines the heating pattern sample corresponding to any floor based on the heating pattern samples corresponding to each household on any floor, it is specifically used for:

[0130] Based on the heating patterns of each household on any floor, the comprehensive theoretical temperature range for any floor is determined.

[0131] Based on the comprehensive theoretical temperature range corresponding to any floor, determine the heating usage pattern sample corresponding to any floor.

[0132] In one possible implementation, when the heating strategy determination module 203 determines the heating strategy for the target building based on the heating pattern samples corresponding to each floor, it is specifically used for:

[0133] Determine the heat loss coefficient for each floor. The heat loss coefficient is the proportion of heat loss when the hot water supplied from the source of the heating network reaches the corresponding floor.

[0134] Based on the heating usage pattern sample for each floor and the heat loss coefficient for each floor, determine the heating demand sample for each floor.

[0135] The heating strategy for the target building is determined based on the heating demand sample corresponding to each floor.

[0136] In one possible implementation, when the heating strategy determination module 203 determines the heating strategy for the target building based on the heating demand sample corresponding to each floor, it is specifically used for:

[0137] Based on the comprehensive theoretical temperature range corresponding to each floor and the correspondence between the preset floor valve opening and the comprehensive theoretical temperature range, the floor valve opening corresponding to each floor in each preset time period is determined. The floor valve of any floor is used to regulate the flow rate of the heating hot water entering any floor.

[0138] The heating network source hot water temperature is determined based on the heating demand sample corresponding to each floor. The heating strategy includes the heating network source hot water temperature and the floor valve opening degree of each floor in each preset time period.

[0139] This application provides a heating system, which includes an adjustable temperature electronic valve corresponding to each household. The adjustable temperature electronic valve is connected to the heating network and can adjust the flow rate of hot water entering the household.

[0140] At least one electronic device;

[0141] Memory;

[0142] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: execute the above-described energy-saving control method for heating pipe networks.

[0143] Electronic devices, such as Figure 4 As shown, Figure 4 The illustrated electronic device 400 includes a processor 401 and a memory 403. The processor 401 and the memory 403 are connected, for example, via a bus 402. Optionally, the electronic device 400 may also include a transceiver 404. It should be noted that in practical applications, the transceiver 404 is not limited to one type, and the structure of this electronic device 400 does not constitute a limitation on the embodiments of this application.

[0144] Processor 401 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 401 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0145] Bus 402 may include a pathway for transmitting information between the aforementioned components. Bus 402 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 402 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0146] The memory 403 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0147] The memory 403 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 401. The processor 401 is used to execute the application code stored in the memory 403 to implement the content shown in the foregoing method embodiments.

[0148] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0149] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0150] The above are only some embodiments of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for energy-saving control of heating pipe networks, characterized in that, include: Obtain the theoretical temperature information for each household in the target building during each historical test period. The theoretical temperature information includes the curve of the household's set temperature versus time. Based on the theoretical temperature information corresponding to any household, the theoretical temperature range corresponding to any household in each preset time period is determined; wherein, corresponding to multiple test cycles, any household has multiple theoretical temperature ranges in each preset time period, and for the theoretical temperature range corresponding to any household in each preset time period, the union or intersection of all theoretical temperature ranges corresponding to each preset time period is taken. The theoretical temperature ranges corresponding to each preset time period for any household are arranged sequentially according to the time sequence of the time periods to obtain the heating pattern sample corresponding to the household. By taking the union of the theoretical temperature ranges corresponding to each household in the same preset time period, we can obtain the comprehensive theoretical temperature range corresponding to any floor in the preset time period. In turn, we can obtain the comprehensive theoretical temperature range corresponding to any floor in each preset time period. The comprehensive theoretical temperature ranges corresponding to any floor in each preset time period are arranged in chronological order to obtain a sample of heating usage patterns for any floor. Determine the heat loss coefficient for each floor, where the heat loss coefficient is the proportion of heat lost when the hot water supplied from the source of the heating network reaches the corresponding floor. Based on the heating consumption patterns and heat loss coefficients of each floor, a heating demand sample for each floor is determined. A heating strategy for the target building is then determined based on this sample, including the hot water temperature at the source of the heating network and the valve opening degree of each floor within each preset time period. The determination of the heating strategy for the target building based on the heating demand sample for each floor includes: determining the hot water temperature at the source of the heating network for each floor based on the comprehensive theoretical temperature range and heat loss coefficient of each floor; and determining the mode or highest value as the hot water temperature in the heating strategy for the target building based on the hot water temperature for each floor. Based on the comprehensive theoretical temperature range corresponding to each floor and the correspondence between the preset floor valve opening and the comprehensive theoretical temperature range, the floor valve opening corresponding to each floor in each preset time period is determined. The floor valve of any floor is used to regulate the flow rate of the heating hot water entering any floor.

2. The energy-saving control method for heating pipe networks according to claim 1, characterized in that, The acquisition of the theoretical temperature information for each household in the target building during each historical testing period includes: Obtain the actual temperature information of each household in the target building during each historical test period. The actual temperature information is the curve of the actual temperature in the household space versus time. Obtain the temperature gain coefficient between unit floors; Based on the actual temperature information of each household in the target building during each historical test period and the temperature gain coefficient between units of floors, the theoretical temperature information of each household in the target building during each historical test period is determined.

3. An energy-saving control device for heating pipe networks, characterized in that, include: The theoretical temperature information acquisition module is used to acquire the theoretical temperature information corresponding to each household in the target building in each historical test cycle. The theoretical temperature information includes the curve of the household's set temperature versus time. The heating pattern sample determination module is used to determine the theoretical temperature range corresponding to any resident in each preset time period based on the theoretical temperature information corresponding to any resident. For multiple test cycles, each resident corresponds to multiple theoretical temperature ranges in each preset time period. For each theoretical temperature range corresponding to any resident in each preset time period, the union or intersection of all theoretical temperature ranges corresponding to each preset time period is taken. The theoretical temperature ranges corresponding to any resident in each preset time period are arranged sequentially according to the chronological order of the time periods to obtain the heating pattern sample corresponding to any resident. The union of the theoretical temperature ranges corresponding to each resident in the same preset time period is taken to obtain the comprehensive theoretical temperature range corresponding to any floor in that preset time period, thus obtaining the comprehensive theoretical temperature range corresponding to any floor in each preset time period. The comprehensive theoretical temperature ranges corresponding to any floor in each preset time period are arranged sequentially according to the chronological order of the time periods to obtain the heating pattern sample corresponding to any floor. A heating strategy determination module is used to determine the heat loss coefficient for each floor, where the heat loss coefficient is the proportion of heat lost when hot water from the source of the heating network reaches the corresponding floor; based on the heating usage pattern sample and the heat loss coefficient for each floor, a heating demand sample for each floor is determined; and based on the heating demand sample for each floor, a heating strategy for the target building is determined, whereby the heating strategy includes the hot water temperature from the source of the heating network and the opening degree of the floor valves for each floor within each preset time period; and based on the heating demand sample for each floor, a heating strategy for the target building is determined. The heating strategy includes: determining the hot water supply temperature at the source of the heating network for each floor based on the comprehensive theoretical temperature range and the heat loss coefficient for each floor; determining the mode or highest value of the hot water supply temperature for the target building based on the hot water supply temperature for each floor; determining the opening degree of the floor valve for each floor in each preset time period based on the comprehensive theoretical temperature range for each floor and the preset correspondence between the floor valve opening degree and the comprehensive theoretical temperature range, wherein the floor valve of any floor is used to regulate the flow rate of the hot water supply entering any floor.

4. A heating system, characterized in that, The heating system includes: Each household has an adjustable temperature electronic valve that is connected to the heating network and can regulate the flow of hot water into the household. At least one electronic device; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform the energy-saving control method for heating pipe networks according to any one of claims 1-2.

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

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