A method and system for on-demand heating

Abstract

The application is suitable for the field of heating technology, and provides a method and system for on-demand heating, which comprises the following steps: dividing charging units into first charging units and second charging units; the heat transferred between the first charging units does not affect the indoor temperature of each first charging unit; the heat transferred between the second charging units affects the indoor temperature of each second charging unit; for the first charging units, installing a heat meter and an intelligent flow control valve at the entrance of each first charging unit, and performing heating based on the flow uploaded to the cloud platform by the intelligent flow control valve, and charging based on the heat displayed by the heat meter; for the second charging units, installing an intelligent flow control valve at the entrance of each household of the second charging units, and performing heating based on the flow uploaded to the cloud platform by the intelligent flow control valve, and charging based on the required temperature in the household. The application can provide a method for on-demand heating, implement on-demand heating and charge for heating, and promote the behavior of energy saving of the household.

Description

Technical Field

[0001] This application belongs to the field of heating technology, and in particular relates to a method and system for on-demand heating. Background Technology

[0002] Centralized heating has been charged based on the building area of ​​each household since its inception. In 2009, the Ministry of Housing and Urban-Rural Development issued the industry standard "Technical Specification for Heating Metering" (JG173-2009), attempting to change the current charging method based on the building area to charging based on the amount of heat entering the household. However, more than a decade of practice has proven that none of the four methods introduced in the "Technical Specification for Heating Metering" are feasible. To date, no building or household in the country has implemented heat metering, and centralized heating households across the country are still charged heating fees based on the building area of ​​each household. Summary of the Invention

[0003] To overcome the problems existing in current heat metering technology, this application provides a method and system for on-demand heating, which can implement on-demand heating and charge heating fees according to heat or temperature, thereby promoting energy conservation by residents.

[0004] This application is achieved through the following technical solution:

[0005] In a first aspect, embodiments of this application provide a method for on-demand heating, including:

[0006] The billing units are divided into a first billing unit and a second billing unit; the heat transferred between the first billing units will not affect their respective indoor temperatures; the heat transferred between the second billing units will affect their respective indoor temperatures.

[0007] For the first type of billing unit, a first heat meter and a first intelligent flow control valve are installed at the entrance of the first type of billing unit. Heating is provided based on the flow rate uploaded to the cloud platform by the first intelligent flow control valve, and charges are made based on the heat displayed by the first heat meter. The first type of billing unit includes public buildings, industrial buildings, agricultural buildings, and bungalows and villas in residential buildings.

[0008] For the second billing unit, a second intelligent flow control valve is installed at the entrance of the resident's home. Heating is provided based on the flow rate uploaded to the cloud platform by the second intelligent flow control valve, and charges are based on the expected indoor temperature of the resident. The second billing unit includes residential buildings in residential buildings.

[0009] In one possible implementation of the first aspect, charging is based on the expected indoor temperature of the resident, including:

[0010] Indoor temperature controllers are installed in the rooms of the residents in the second type of billing unit to control and monitor the indoor temperature of the residents in the second type of billing unit.

[0011] The required indoor temperature for a resident is determined based on the indoor temperature of the resident in the second billing unit.

[0012] Heating costs are calculated based on the expected indoor temperature of households using the second billing unit.

[0013] In one possible implementation of the first aspect, determining the appropriate indoor temperature of a resident based on the indoor temperature of the resident in the second billing unit includes:

[0014] For households of the same type, if the heating supply and the ambient temperature of the surrounding environment are the same within the first preset time period, the weighted average indoor temperature of the households of the same type is calculated and used as the expected indoor temperature. Households of the same type are those with the same heating method, the same heat consumption index and structure of the building, the same area, the same location, and the same apartment layout. Heating methods include radiator heating and underfloor heating.

[0015] In one possible implementation of the first aspect, the same type of households includes the same type of households that use radiator heating and the same type of households that use underfloor heating.

[0016] For households of the same type that use radiator heating, the same ambient temperature means that the indoor temperature of the adjacent households to the left, right, up, and down of the household is the same, as is the outdoor temperature corresponding to the wall in contact with the outside, or the average indoor temperature of the two adjacent households to the left and right of the household is the same, or the average indoor temperature of the two adjacent households above and below the household is the same.

[0017] For households of the same type that use underfloor heating, the same ambient temperature means that the indoor temperature of the adjacent walls to the left, right, top, and bottom of the household is the same, as is the outdoor temperature of the wall in contact with the outside, or the average indoor temperature of the two adjacent households to the left and right of the household is the same.

[0018] In one possible implementation of the first aspect, determining the appropriate indoor temperature of a resident based on the indoor temperature of the resident in the second billing unit further includes:

[0019] For different types of residents, taking the target building where the target resident is located as a unit, under the condition that the opening time of the smart flow control valve of the residents is the same within the second preset time period, the indoor temperature of all residents in the target building is adjusted so that the average indoor temperature of all residents is the same as the target temperature.

[0020] When the average indoor temperature of all households reaches the same target temperature, obtain the indoor-outdoor temperature difference of the target household and calculate the actual heat consumption of the target household.

[0021] Establish the correspondence between the actual heat consumption of the target households and the indoor-outdoor temperature difference;

[0022] During the heating season, the current actual heat consumption of the target household is calculated. From the correspondence, the indoor-outdoor temperature difference corresponding to the current actual heat consumption of the target household is found. Based on the indoor-outdoor temperature difference corresponding to the current actual heat consumption, the appropriate indoor temperature of the target household is determined.

[0023] In one possible implementation of the first aspect, calculating the current actual heat consumption of the target household includes:

[0024] If the heat transfer coefficient Ki between the target household and its neighboring households 邻 Given, then through

[0025] Qi 传 =Fi 邻 Ki 邻 (t 住户 -t 邻户 )

[0026] Qi 当前实际 =Qi 进入 -Qi 传

[0027] Calculate the current actual heat consumption Qi 当前实际 Among them, Fi 邻 The target resident's adjacent area is defined as the area of ​​adjacent households, including those adjacent to the target resident on the left, right, top, and bottom; t 住户 For the target residents' temperature, t 邻户 The temperature of neighboring residents, Qi 传 Heat is transferred from neighboring households to the target household or heat is transferred from neighboring households to the target household.

[0028] In one possible implementation of the first aspect, calculating the current actual heat consumption of the target household further includes:

[0029] If the heat transfer coefficient Ki between the target household and its neighboring households 邻 Unknown, determine the heat transfer coefficient Ki between the target household and its neighboring households. 邻 ; Determine the heat transfer coefficient Ki between the target household and its neighboring households. 邻 The methods include:

[0030] Adjust the indoor temperature of only one adjacent household to be lowered or raised, while keeping the indoor temperatures of other adjacent households unchanged;

[0031] Based on the correlation between the actual heat consumption of the target household and the indoor-outdoor temperature difference of the target household, the current actual heat consumption Qi is obtained. 当前实际 ;

[0032] pass

[0033] Qi 传 =Qi 进入 -Qi 当前实际

[0034] Qi 传 =Fi 邻 Ki 邻 (t 住户 -t 邻户 )

[0035] The heat transfer coefficient Ki between the target household and its neighboring households was measured. 邻 ;

[0036] Based on the measured heat transfer coefficient Ki between the target household and its neighboring households 邻 Calculate the current actual heat consumption Qi 当前实际 .

[0037] In one possible implementation of the first aspect, calculating heating fees based on the expected indoor temperature of a resident in a second billing unit includes:

[0038] Based on the expected indoor temperature of the residents and the regulations for charging heating fees, the heating fee per square meter of the residents during the heating season is obtained.

[0039] The heating cost for a household during the heating season is calculated based on the heating cost per square meter and the household's heated area; the expression for the heating cost for a household during the heating season is:

[0040] F i =a i A

[0041] Where A represents the heating cost per square meter during the heating season, and a i This refers to the heating area of ​​household i.

[0042] In one possible implementation of the first aspect, the accuracy of the indoor temperature uploaded to the cloud platform by the indoor temperature controller is verified according to a first target model and a second target model; the first target model includes a first fixed threshold value being the difference between the cumulative flow of the building and the total flow of all residents in the building over a period of time; the second target model includes a second fixed threshold value being the difference between the heating supply of the building and the total actual heating consumption of all residents in the building over a period of time.

[0043] If the cumulative flow of the building with the second billing unit and the sum of the flow of all residents in the building meet the first objective model, and the heating supply of the building with the second billing unit and the sum of the actual heating consumption of all residents in the building meet the second objective model, then the indoor temperature uploaded to the cloud platform by the indoor temperature controller is the accurate temperature.

[0044] Secondly, embodiments of this application provide an on-demand heating system, characterized in that it includes: a cloud platform, a network base station, an indoor temperature controller, an intelligent flow control valve, an indoor temperature sensor, a heat meter, and a solar panel; the system applies the on-demand heating method as described in any of the first aspects.

[0045] The beneficial effects of the embodiments in this application compared with the prior art are:

[0046] In this embodiment of the application, the method of charging for heating fees is changed to charging based on the heat or temperature entering the household, and the household implements heat metering, thereby promoting energy conservation by the household.

[0047] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this specification. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a schematic flowchart of an embodiment of the on-demand heating method provided in this application;

[0050] Figure 2 This is a schematic diagram of the structure of an on-demand heating method provided in an embodiment of this application. Detailed Implementation

[0051] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0052] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0053] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0054] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0055] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0056] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0057] The original intention of heat metering is to adapt to the thermal comfort needs of residents under the premise of centralized heating or district heating, and to change the current charging method of charging heating fees based on the area of ​​the household to charging based on the heat entering the household or the heat allocated to the household, thereby enhancing residents' awareness of energy conservation.

[0058] To better understand the intent of this invention, we will first discuss the four heat metering methods outlined in the industry standard "Technical Specification for Heating Metering" (JGJ173-2009) issued by the Ministry of Housing and Urban-Rural Development in 2009. These four heat metering methods include the household heat meter method, the on / off time-area method, the radiator heat distribution meter method, and the flow-temperature method.

[0059] For household heat meters, because heating is metered differently from water and electricity, the heat entering a household is not equal to the heat consumed by that household. This is because heat is conductive; heat is transferred from households with higher indoor temperatures to those with lower indoor temperatures. For example, if heating is supplied from all sides, even if the pipe valves are turned off, the indoor temperature of that household may be less than two or three degrees Celsius different from its neighbors. In this case, the heat meter reading will be zero, and no charge should be made according to the heat meter reading.

[0060] In practical engineering applications, typical on / off time-area heat metering systems use electric ball valves for on / off control. Flow rates cannot be set, and the flow rate at lower floors is generally 30-50% higher, or even more, than at the top floors. Even with flow-controlled on / off devices, if all residents of the same area in a building use the same flow rate, the on / off time for top-floor units and middle units will differ by 2-3 times depending on their location. If charging is based solely on on / off time, residents will find this unacceptable.

[0061] The flow-temperature method essentially measures the heat entering the household, and it still cannot solve the problems of heat transfer between households and the high heat loss at the building ends and top floors.

[0062] The radiator heat distribution meter method requires that the heat distribution meter and radiator undergo matching experiments in a laboratory to calibrate the proportional coefficient and obtain corresponding data before it can be applied. However, my country has a wide variety of radiator models, and the experimental testing workload is enormous. Completing this task for the diverse range of radiators found in countless households in my country is unimaginable. Therefore, the radiator heat distribution meter method faces significant challenges in its widespread adoption in my country and is unsuitable for floor radiant heating systems.

[0063] The above analysis explains some of the reasons why these four methods are not feasible. Through more than a decade of promotion and practice, it has been proven that these four methods are indeed not feasible, resulting in the awkward situation that no building has truly implemented heating based on heat consumption. Households with centralized heating across the country are still charged heating fees based on their building area.

[0064] In order to solve the above problems, we should first recognize the special characteristics of centralized heating. (1) Heat is conductive: residents with higher indoor temperatures in the same building transfer heat to residents with lower indoor temperatures; when residents, especially those in the middle, turn off the heating valve, their indoor temperature is slightly lower than that of the adjacent residents. Under normal circumstances, the temperature difference between the two households is only two or three degrees, and will not exceed 5 degrees Celsius. This is why more and more residents are reporting the suspension of heating.

[0065] (2) Integrity: The water circulation of each heat exchange station in the centralized heating system is a closed loop. When the main line, branches and residents make adjustments, they will affect each other, thus causing the integrity of the centralized heating system.

[0066] (3) Uniqueness: Residents have no choice in the heating unit. After the heating network of the heating company is established, the residents and the heating company form a unique supply and demand relationship.

[0067] (4) The lag in heating: Unlike water and electricity supply, heating takes time to rise in indoor temperature when heating is on, and it will not drop immediately when heating is off. The rise and fall of indoor temperature also take a slow process.

[0068] (5) Central heating is the most important public welfare project. Residents are demanding increasingly higher indoor temperatures, and now the indoor temperature in some households is so high that it is affecting their health.

[0069] Having understood these characteristics of centralized heating, this invention proposes a method for on-demand heating.

[0070] To overcome the problems existing in current heat metering technologies, the on-demand heating method proposed in this invention is detailed below. (See also...) Figure 1 On-demand heating methods include:

[0071] Step 101: Divide the billing units into a first type of billing unit and a second type of billing unit; the heat transferred between the first type of billing units will not affect their respective indoor temperatures; the heat transferred between the second type of billing units will affect their respective indoor temperatures.

[0072] For example, when a resident in the same building with a high indoor temperature transfers heat to a resident with a low indoor temperature, the billing units can be divided to consider the cases where heat transfer does not affect the indoor temperature of the resident and the cases where heat transfer does affect the indoor temperature of the resident. This helps to raise residents' awareness of energy conservation.

[0073] Step 102: For the first type of billing unit, a first heat meter and a first intelligent flow control valve are installed at the entrance of the first type of billing unit. Heating is provided based on the flow rate uploaded to the cloud platform by the first intelligent flow control valve, and charges are made based on the heat displayed by the first heat meter. The first type of billing unit includes public buildings, industrial buildings, agricultural buildings, and bungalows and villas in residential buildings.

[0074] In one embodiment, a heat exchange station includes residential buildings, bungalows, villas, and public buildings.

[0075] For public buildings: Heat meters are installed at the entrance of the public building where billing is required. Indoor temperature controllers are installed in the rooms where temperature control is needed. Smart flow control valves are installed on the inlet pipes. Data is uploaded to the network base station and cloud platform. If necessary, solar panels can be used to provide electricity. Billing is based on the heat generated by the heat meter.

[0076] For bungalows and villas: Install heat meters and smart flow control valves or smart flow heat meter integrated valves or metering smart flow control valves at the entrance of the residence. Install indoor temperature controllers and upload data to network base stations and cloud platforms. If necessary, solar panels can be used to provide electricity. Billing is based on the heat generated by the heat meter.

[0077] For public buildings, bungalows, and villas, which fall under the first billing unit, the heat transferred will not affect their respective indoor temperatures. Therefore, heating is provided based on the amount of heat uploaded to the cloud platform, and charges are based on the amount of heat displayed on the heat meter.

[0078] Step 103: For the second billing unit, a second intelligent flow control valve is installed at the entrance of the resident in the second billing unit, and heating is provided based on the flow rate uploaded to the cloud platform by the second intelligent flow control valve, and charges are made based on the indoor temperature of the resident; the second billing unit includes residential buildings in residential buildings.

[0079] In the second type of billing unit, indoor temperature controllers and indoor temperature sensors are installed in the homes of residents. Residents of the second type of billing unit can use the indoor temperature controllers to adjust the indoor temperature according to their own wishes.

[0080] The heating cost per unit area during the heating season depends solely on the indoor temperature of the household, and is unrelated to the building's heat consumption index or location (due to differences in building heat consumption index and location, the heat consumed per unit area can vary by 7-8 times even at the same indoor temperature). Higher temperatures result in higher energy consumption and higher costs, while lower temperatures result in lower energy consumption and lower costs. This encourages energy-saving behavior among residents.

[0081] The indoor temperature uploaded by residents may differ from the ideal indoor temperature due to a series of factors. The indoor temperature uploaded by the indoor temperature controller is lower than the ideal indoor temperature. This phenomenon is mainly affected by the following two aspects: first, residents may keep windows open for extended periods, exceeding normal ventilation time; second, residents may manually move the position of the indoor temperature controller, causing it to display a temperature lower than the ideal indoor temperature, thus resulting in the indoor temperature uploaded to the cloud platform being lower than the ideal indoor temperature for the resident.

[0082] The ideal indoor temperature for a resident is the indoor temperature under normal ventilation conditions, without moving the indoor temperature controller and sensor.

[0083] Specifically, in step 103, charges are based on the expected indoor temperature of the resident, including:

[0084] Step S1: Install an indoor temperature controller in the room of the resident in the second type of billing unit to control and monitor the indoor temperature of the resident in the second type of billing unit.

[0085] Step S2: Determine the appropriate indoor temperature for the resident based on the indoor temperature of the resident in the second billing unit.

[0086] Step S3: Calculate the heating fee based on the expected indoor temperature of the residents in the second billing unit.

[0087] In one embodiment, the second intelligent flow control valve is used to set and maintain the flow rate for each resident under the control of an indoor temperature controller, and to collect the resident's heating data, including the supply water temperature and the return water temperature. The intelligent flow control valve is installed at the flow inlet of each resident's home as a residential intelligent flow control valve, possessing the characteristics of setting and maintaining the flow rate. Each opening value of this residential intelligent flow control valve corresponds to a unique flow rate value.

[0088] In one embodiment, the second intelligent flow control valve can be replaced with a metering intelligent flow control valve.

[0089] For example, determining the appropriate indoor temperature of a resident based on the indoor temperature of a resident in the second billing unit includes: for residents of the same type, when the heating supply and the ambient temperature of the surrounding environment are the same within a first preset time period, calculating the weighted average indoor temperature of the residents of the same type, and using the weighted average indoor temperature as the appropriate indoor temperature of the residents of the same type; the residents of the same type are those with the same heating method, the same building heat consumption index and structure, and the same area, location, and apartment layout; the heating method includes radiator heating and underfloor heating.

[0090] The same type of households includes households that use radiators for heating and households that use underfloor heating for heating.

[0091] Specifically, for households of the same type that use radiator heating, the same ambient temperature means that the indoor temperatures of the adjacent households to the left, right, top, and bottom are the same, as well as the outdoor temperature corresponding to the wall in contact with the outside, or the average indoor temperature of the two adjacent households to the left and right is the same, or the average indoor temperature of the two adjacent households to the top and bottom is the same.

[0092] For households of the same type that use underfloor heating, the same ambient temperature means that the indoor temperature of the adjacent walls to the left, right, top, and bottom of the household is the same, as is the outdoor temperature of the wall in contact with the outside, or the average indoor temperature of the two adjacent households to the left and right of the household is the same.

[0093] Alternatively, the indoor temperature of a resident may be the same as the average indoor temperature of the two adjacent resident units on the left and right.

[0094] For example, for households of the same type that use radiator heating, the same ambient temperature means that the outdoor temperature of the households is the same. The same ambient temperature means that the indoor temperature of the adjacent households to the left, right, above and below is the same. To further explain, the indoor temperature of the adjacent households to the left is 20℃, the indoor temperature of the adjacent households to the right is 22℃, the indoor temperature of the adjacent households below is 23℃, and the indoor temperature of the adjacent households above is 24℃. This also includes situations where the average indoor temperature of two adjacent households on the left and right is the same, or where the average indoor temperature of two adjacent households above and below is the same. To further explain, for one type of household, the indoor temperature of the adjacent households on the left is 20℃, and the indoor temperature of the adjacent households on the right is 22℃, with an average indoor temperature of 21℃. Another type of household has adjacent households on the left with indoor temperatures of 19℃ and adjacent households on the right with indoor temperatures of 23℃. Therefore, the average indoor temperature of the adjacent households on the left and right is also 21℃, meaning the surrounding environmental temperature of these households is the same. Similarly, the same average indoor temperature for two adjacent households above and below also includes situations where the temperatures are different, but the average indoor temperature is the same.

[0095] For households using underfloor heating of the same type, "same ambient temperature" means that all households of the same type have the same outdoor temperature. This includes the same indoor temperature in the adjacent households to the left, right, top, and bottom. For example, if the indoor temperature of the adjacent household to the left is 20℃, the indoor temperature of the adjacent household to the right is 22℃, the indoor temperature of the adjacent household below is 23℃, and the indoor temperature of the adjacent household above is 24℃. It also includes the same average indoor temperature between the two adjacent households to the left and right. For example, if the indoor temperature of one household to the left is 20℃ and the indoor temperature of the adjacent household to the right is 22℃, the average indoor temperature between the two adjacent households to the left and right is 21℃. Similarly, if another household of the same type has indoor temperatures of 19℃ to the left and 23℃ to the right, the average indoor temperature between the two adjacent households to the left and right is also 21℃. Therefore, it can be said that the ambient temperature of these households is the same. However, this does not include cases where the average indoor temperature of two adjacent households above and below a household is the same.

[0096] The cloud platform implements tiered management for residents, dividing them into those authorized to adjust the temperature themselves and those not authorized to adjust the temperature themselves.

[0097] When residents are authorized to adjust the temperature themselves, they can freely switch the smart flow control valve on and off through the indoor temperature controller. They can also freely set the indoor temperature to actively save energy. If the room temperature reaches the set value, the smart flow control valve will automatically close. If the room temperature is 2°C lower than the set value, the smart flow control valve will automatically open. The maximum value will not exceed the balanced flow rate, so the room temperature is relatively constant but fluctuates, thus achieving automatic energy saving.

[0098] Without authorizing residents to adjust the temperature themselves, the cloud platform's data management center adjusts the indoor temperature of each resident to ensure that the indoor temperature is the same and determines the appropriate indoor temperature for each resident.

[0099] Specifically, in step S2, the required indoor temperature of the resident is determined based on the indoor temperature of the resident in the second billing unit, including:

[0100] Step S21: For different types of residents, taking the target building where the target resident is located as a unit, within the second preset time period, assuming the opening time of the smart flow control valve for each resident is the same, adjust the indoor temperature of all residents in the target building to make the average indoor temperature of all residents the same as the target temperature. Step S22: When the average indoor temperature of all residents reaches the same target temperature, obtain the indoor-outdoor temperature difference of the target resident and calculate the actual heat consumption of the target resident. Establish the correspondence between the actual heat consumption of the target resident and the indoor-outdoor temperature difference.

[0101] Step S23: During the heating season, calculate the current actual heat consumption of the target household, find the indoor-outdoor temperature difference corresponding to the current actual heat consumption of the target household from the correspondence, and determine the appropriate indoor temperature of the target household based on the indoor-outdoor temperature difference corresponding to the current actual heat consumption.

[0102] For example, the target resident could be any resident in the target building.

[0103] For example, the cloud platform can determine the heating season by setting a predetermined time range and calculate the current actual heat consumption of the target households.

[0104] For example, assuming the household smart flow control valves open at the same time, i.e., the heating time is the same, after adjusting the average indoor temperature of all households to be the same, the flow rate for each household is determined. This flow rate for each household is then called the household's balanced flow rate, and the ratio of flow rates per unit area between different households is called the balanced flow rate coefficient. This balanced flow rate is generally the maximum flow rate for the target household when the average indoor temperature of all households is the same.

[0105] For example, after determining the balanced flow rate of the intelligent flow control valve, the data management center can proportionally increase or decrease the flow rate of the user-use intelligent flow control valve by using the balanced flow rate coefficient.

[0106] In one embodiment, in step S21, adjusting the indoor temperature of residents in the target building, assuming the opening time of the residents' smart flow control valves is the same, ensures that the average indoor temperature of all residents within a second preset time period is the same as the target temperature. This includes: determining the target indoor temperature for each resident without authorizing them to adjust the temperature themselves; detecting whether the average indoor temperature of each resident has reached the target temperature. If the average indoor temperature of the target resident has not reached the target temperature, the flow rate of the target resident is increased to make the average indoor temperature of the target resident the same as the target temperature. If the average indoor temperature of the target resident exceeds the target temperature, the flow rate of the target resident is decreased to make the average indoor temperature of the target resident the same as the target temperature.

[0107] For example, the cloud platform adjusts the indoor temperature of residents in the target building so that the average indoor temperature of all residents during a second preset time period is the same as the target temperature. First, the daily opening time of the smart flow control valve for this building on the adjustment date is determined by Y = 24*(T3-T1) / (T3-T2); where T1 is the local daily average temperature on the adjustment date or the local daily average temperature for a period of time after the adjustment date in previous years, T2 is the design temperature (the local historical average daily average temperature does not guarantee five days of extreme weather), T3 is the target value of the indoor temperature for residents, and Y is the opening time of the smart flow control valve on the adjustment date.

[0108] When the daily opening time or preset time period Y of the household smart flow control valve is the same, it detects whether the indoor temperature of a certain household has reached the target value. If it does not reach the target value, the flow rate of the household smart flow control valve for that household is increased so that the indoor temperature of that household gradually becomes the same as or close to the target value. If the indoor temperature of a household exceeds the target value, the flow rate of the household smart flow control valve for that household is decreased so that the indoor temperature of that household gradually becomes the same as or close to the target value, and finally the indoor temperature of all households becomes the same as the target value.

[0109] For example, over a 30-day period, the goal is to regulate the indoor temperature of all residents in a building to a target temperature of 20°C. If the average indoor temperature of the target residents does not reach 20°C within 30 days, the water supply flow to those residents is increased until the average indoor temperature reaches 20°C. If the average indoor temperature exceeds 20°C within 30 days, the water supply flow is decreased until the average indoor temperature over the 30-day period is 20°C. During this process, the water supply time (valve opening time) is the same for all residents in the building; the indoor temperature is regulated by adjusting the valve opening to control the water flow.

[0110] For example, assuming the smart flow control valves in residential homes open at the same time, after adjusting the average indoor temperature of all households to be the same, the flow rate entering each household is determined. This flow rate is then called the balanced flow rate for that household, and the ratio of flow rates per unit area between different households is called the balanced flow rate coefficient. This balanced flow rate is generally the maximum flow rate for the target household when the average indoor temperature of all households is the same.

[0111] After the adjustment was completed, the balanced flow rate for each household was determined and locked.

[0112] If, during the same initial preset time period, all residents of a building experience the same average indoor temperature and there is no heat transfer between households, then the heat entering the target household is the actual heat consumption of that household, i.e., Qi. 实际 With Qi 进入 They are equal. Among them, the longest preset time period is the entire heating season, but it can also be one month or other periods.

[0113] Qi 实际 =Qi 进入 =G(t) g -t h (1)

[0114] Among them, Qi 进入 G represents the amount of heat reaching the target household, and t represents the weight of the cumulative flow. g For water supply temperature, t h This refers to the return water temperature.

[0115] In one embodiment, in step S22, when the average indoor temperature of all residents reaches the same target temperature, the indoor-outdoor temperature difference of the target resident is obtained, and the actual heat consumption of the target resident is calculated. A correspondence between the actual heat consumption of the target resident and the indoor-outdoor temperature difference is established.

[0116] For example, Qi can be obtained by taking a weighted average of the actual heat consumption of N households of the same type. 实际 The indoor and outdoor temperature differences were weighted and averaged to obtain ΔT, and a correlation was established between the indoor and outdoor temperatures ΔT and Qi for households of the same type. 实际 The correspondence table. This is not limited to a relation table; it can also be other forms that can represent this correspondence, such as △T and Qi. 实际 The correspondence table is an example of a correspondence relationship.

[0117] Optionally, a large number of households of the same type can be selected in the same region or even the same community to conduct the experiment simultaneously. The larger the amount of data obtained, the closer the data is to reality.

[0118] In one embodiment, in step S23, the current actual heat consumption is the heat consumption of the target household during the heating season when heat is transferred between it and other households. First, the current actual heat consumption of the target household is calculated, and then the indoor-outdoor temperature difference corresponding to the current actual heat consumption of the target household is found from the correspondence established in step S22, thereby determining the appropriate indoor temperature of the target household.

[0119] When the cloud platform authorizes residents to adjust the indoor temperature themselves, it calculates the target resident's current actual heat consumption, including:

[0120] If the heat transfer coefficient Ki between the target household and its neighboring households 邻 Given, then through

[0121] Qi 传 =Fi 邻 Ki 邻 (t 住户 -t 邻户 (2)

[0122] Qi 当前实际 =Qi 进入 -Qi 传 (3)

[0123] Calculate the current actual heat consumption Qi 当前实际 Among them, Fi 邻 The target resident's adjacent area is defined as the area of ​​adjacent households, including those adjacent to the target resident on the left, right, top, and bottom; t 住户 For the target residents' temperature, t 邻户 The temperature of neighboring residents, Qi 传 Heat is transferred from neighboring households to the target household. Further explanation: t 住户 It is the average indoor temperature collected by the indoor temperature controller or indoor temperature sensor over a period of time.

[0124] In one embodiment, Qi can be directly obtained on the cloud platform. 进入 Therefore, based on the established relationship between indoor and outdoor temperatures ΔT and Qi... 实际 The corresponding table can be used to find the indoor-outdoor temperature difference under the current actual heat consumption. Furthermore, the average outdoor temperature over a certain period is fixed and can be determined based on data from the local meteorological bureau or other sources. Therefore, the ideal indoor temperature for the target household can be determined.

[0125] Specifically, calculating the current actual heat consumption of the target households also includes:

[0126] If the heat transfer coefficient Ki between the target household and its neighboring households 邻 Unknown, determine the heat transfer coefficient Ki between the target household and its neighboring households. 邻; Determine the heat transfer coefficient Ki between the target household and its neighboring households. 邻 The methods include: adjusting the indoor temperature of only one adjacent household, while keeping the indoor temperatures of other adjacent households unchanged. Based on the correspondence between the actual heat consumption of the target household and the indoor-outdoor temperature difference of the target household, the current actual heat consumption Qi is obtained.

[0127] pass

[0128] Qi 传 =Qi 进入 -Qi 当前实际 (4)

[0129] Qi 传 =Fi 邻 Ki 邻 (t 住户 -t 邻户 (5)

[0130] The heat transfer coefficient Ki between the target household and its neighboring households was measured. 邻 .

[0131] Based on the measured heat transfer coefficient Ki between the target household and its neighboring households 邻 Calculate the current actual heat consumption Qi 当前实际 .

[0132] Based on the above established relationship between indoor and outdoor temperatures ΔT and Qi 实际 The corresponding table is used to determine the required indoor temperature for the target household. 住户 This is the average indoor temperature collected by the indoor temperature controller and indoor temperature sensor over a period of time. The corresponding average outdoor temperature over the same period is a known temperature, which can be determined from the local meteorological bureau or other data sources.

[0133] Alternatively, if there are many households in the same area, even the same community, or even the same building with identical heat consumption indicators, structure, orientation, and area, experiments can be conducted simultaneously. The larger the amount of data obtained, the closer the data will be to reality.

[0134] For example, the accuracy of the indoor temperature uploaded to the cloud platform by the indoor temperature controller can be verified according to a first target model and a second target model. The first target model includes a first fixed threshold as the difference between the cumulative flow of the building and the total flow of all residents in the building over a period of time. The second target model includes a second fixed threshold as the difference between the heating supply of the building and the total actual heating consumption of all residents in the building over a period of time. If the cumulative flow of the building of the second billing unit and the total flow of all residents in the building conform to the first target model, and the heating supply of the building of the second billing unit and the total actual heating consumption of all residents in the building conform to the second target model, then the indoor temperature uploaded to the cloud platform by the indoor temperature controller is an accurate temperature.

[0135] For example, the cumulative flow and heat supply of a building can be measured by installing a heat meter at the building entrance, while the flow and heat supply of each household in the building can be measured by installing a household smart flow control valve in each household.

[0136] For the first objective model mentioned above, the cumulative heat obtained from the cloud platform can be verified. For the second objective model mentioned above, the cumulative heat obtained from the cloud platform can be verified, thereby eliminating the problem of inaccurate data caused by factors such as water leakage from residents. Only when both of these conditions are met can the calculated indoor temperature be accurate. Therefore, the accuracy of the indoor temperature uploaded to the cloud platform by the indoor temperature controller is verified through the first objective model and the second objective model.

[0137] Specifically, in step S3, the heating fee for the second type of billing unit is calculated based on the expected indoor temperature, including: obtaining the heating fee per square meter for the household during the heating season based on the expected indoor temperature and heating fee collection regulations. The heating fee for the household during the heating season is calculated based on the heating fee per square meter and the household's heating area; the expression for the heating fee for the household during the heating season is:

[0138] F i =a i A (6)

[0139] Where A represents the heating cost per square meter during the heating season, and a i This refers to the heating area of ​​household i.

[0140] In one embodiment, when the indoor temperature of a resident reaches the baseline average temperature, the heating fee per square meter is charged according to the first tier heating fee. For each increase of a first target degree above the baseline average temperature, the heating fee increases by a first target fee; for each decrease of a second target degree below the baseline average temperature, the heating fee decreases by a second preset target fee. The heating fee per square meter for the resident's heating season is obtained based on the expected indoor temperature, the first target fee, or the second target fee. The heating fee for the resident's heating season is calculated based on the heating fee per square meter and the resident's heated area.

[0141] For example, if the average indoor temperature during the entire heating season is 18℃, and the heating fee is 20 yuan per square meter, with an additional 2 yuan for every 1℃ increase in temperature, then the fee would be 22 yuan per square meter if the ideal temperature is 19℃. Conversely, the fee would decrease by 3 yuan for every 1℃ decrease in temperature, resulting in 17 yuan per square meter, and so on. This method of charging heating fees is defined as the hydraulic balance tiered heating fee temperature-area method. Hydraulic balance is achieved through intelligent flow control valves. Charging heating fees based on temperature under hydraulic balance promotes energy conservation among residents, advocating for a healthy lifestyle while reducing emissions.

[0142] The beneficial effects of this invention compared to the prior art are as follows: the data management center collects heat metering data through the on-demand heating method, and based on the collected heating data, it solves the problem of the difference between the indoor temperature uploaded by residents to the platform and the indoor temperature that residents should have. Therefore, it can ensure that residents in the same area and at the same temperature are charged the same amount of money.

[0143] Residents can independently adjust the indoor temperature, and the adjustments are independent of each other. The heating company charges according to the hydraulic balance tiered heating fee temperature-area method, which ensures the stable and safe operation of the system, promotes energy-saving behavior by residents, and benefits the country, enterprises, and residents.

[0144] Residents who pay based on their indoor temperature can adjust their indoor temperature independently, achieving the goal of heating on demand. For example, if a resident sets their indoor temperature to 21 degrees Celsius, the intelligent flow control valve will close slightly when the indoor temperature reaches 21 degrees Celsius, and remain open when the indoor temperature does not reach 21 degrees Celsius.

[0145] The flow rates are not coupled during adjustment. Residents control the flow rate of their smart flow control valves through indoor temperature controllers, thereby regulating the indoor temperature. Residents' adjustments to the smart flow control valves do not affect the flow rates of other residents, and the flow rates of each resident can be quantified.

[0146] Promoting energy conservation through household behavior: Whether charging residents for heat consumption or charging them for the indoor temperature they should be charged for, on-demand heating can promote energy conservation through household behavior and lower the national average indoor temperature of centralized heating; thereby achieving energy savings of 30%-60%, electricity savings of 60%, and water savings.

[0147] This application provides an on-demand heating system, which applies the on-demand heating method described above. (See also...) Figure 2The on-demand heating system includes: a cloud platform 101, a network base station 102, an indoor temperature controller 103, an intelligent flow control valve 104, an indoor temperature sensor 105, a heat meter 106, and a solar panel 107.

[0148] The cloud platform 101 is used to send temperature acquisition commands and temperature control commands to the indoor temperature controller 103 via the network base station 102, and to receive the indoor temperature uploaded by the indoor temperature controller 103, which is used to calculate the heating fee for residents; it is also used to send heating data commands to the intelligent flow control valve 104, and to receive the heating data uploaded by the intelligent flow control valve 104; wherein, the heating data may include the supply water temperature and the return water temperature; and based on the indoor temperature and the heating data, it provides prompts, corrections and manages data that deviates from the normal range.

[0149] The indoor temperature controller 103 is used to upload the indoor temperature of the residents to the cloud platform 101 based on heating data instructions; it is also used to control the opening degree and running time of the intelligent flow control valve 104 based on temperature control instructions.

[0150] The intelligent flow control valve 104 is used to set and maintain the flow rate of the residents under the control of the indoor temperature controller 103, and is also used to collect the residents' heating data based on the heating data instructions and upload the heating data to the cloud platform 101.

[0151] Indoor temperature sensor 105 is used to measure the indoor temperature of the resident and upload the data to indoor temperature controller 103.

[0152] For example, the system may also include a solar panel 107 for powering the smart flow control valve 104 and the network base station 102.

[0153] For example, heat meter 106 is used to measure the heat entering a household. It can also be used to measure the supply and return water temperature difference, instantaneous flow rate, and cumulative flow rate of a household;

[0154] For example, in this system, the intelligent flow control valve 104 and the heat meter 106 can also be replaced by an integrated intelligent flow heat meter valve.

[0155] For example, the control strategy of cloud platform 101 includes two aspects. First, it limits the maximum indoor temperature of residents. Second, to ensure stable system operation and minimize system flow fluctuations, it manages the resident-controlled intelligent flow control valve 104 in an orderly manner. For example, if a heat exchange station has 1000 residents, a queuing mode is activated when 150 households close their doors, ensuring that the maximum number of households closed is 150. When processing queuing residents' adjustment commands, the commands of residents with higher indoor temperatures are prioritized. Third, to ensure stable system operation and minimize system flow fluctuations, the closing range of intelligent flow control valve 104 can also be controlled. For example, the fully open range of intelligent flow control valve 104 can be controlled by 10%.

[0156] For example, the indoor temperature controller 103 can be installed in the living room in a relatively uniform location, such as a fixed position about 1.5-2.0 meters above the ground, with anti-movement function, and uploads the indoor temperature at preset time intervals. Only when the indoor temperature controller 103 and the indoor temperature sensor 105 are installed in the same location can the uploaded temperatures be representative and comparable.

[0157] In this embodiment, the preset range of the indoor temperature controller 103 can be a range consisting of the highest heating indoor temperature and the lowest heating indoor temperature. For example, the preset range can be from 13 degrees Celsius to 26 degrees Celsius.

[0158] For example, in addition to collecting the supply and return water temperatures, the flow rate of the intelligent flow control valve 104 is determined by the opening degree of the intelligent flow control valve 104 controlled by the indoor temperature controller 103. The opening degree of the intelligent flow control valve 104 determines the flow rate. Therefore, when the cloud platform 101 sets a current value, it corresponds to an opening degree of the intelligent flow control valve 104 controlled by the indoor temperature controller 103, and the flow rate is then determined.

[0159] For example, the indoor temperature sensor 105 is installed in the bedroom, in a relatively uniform location, and has an anti-movement function, and uploads the indoor temperature at preset time intervals.

[0160] For example, the indoor temperature sensor 105 is wirelessly connected to the indoor temperature controller 103, the indoor temperature controller 103 is wirelessly connected to the smart flow control valve 104, and the smart flow control valve 104 can be wired or wirelessly connected to the network base station 102.

[0161] For example, the solar panel 107 is mounted on the roof, providing power to the smart flow control valve 104 and the network base station 102 when they are wired together.

[0162] In one embodiment, a household intelligent flow control valve 104 is installed in all households within the heating area of ​​a heat exchange station. The household intelligent flow control valve 104 is installed on the inlet return water pipe of each household and is used to control the flow rate and opening / closing of the heating pipes entering the household.

[0163] It should be understood that the sequence number of each step does not imply 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 this application.

[0164] It should be noted that the information interaction and execution process between the above-mentioned devices are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0165] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0166] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for on-demand heating, characterized in that, include: The billing units are divided into a first billing unit and a second billing unit; the heat transferred between the first billing units will not affect their respective indoor temperatures. The heat transferred between the second type of billing units will affect their respective indoor temperatures; For the first type of billing unit, a first heat meter and a first intelligent flow control valve are installed at the entrance of the first type of billing unit. Heating is provided based on the flow rate uploaded to the cloud platform by the first intelligent flow control valve, and charges are made based on the heat displayed by the first heat meter. The first type of billing unit includes public buildings, industrial buildings, agricultural buildings, and bungalows and villas in residential buildings. For the second type of billing unit, a second intelligent flow control valve is installed at the entrance of the resident in the second type of billing unit, and heating is provided based on the flow rate uploaded to the cloud platform by the second intelligent flow control valve, and the billing is based on the expected indoor temperature of the resident; the second type of billing unit includes residential buildings in residential buildings; the expected temperature is the indoor temperature under normal ventilation conditions without moving the indoor temperature controller and indoor temperature sensor. The charging based on the expected indoor temperature of the resident includes: An indoor temperature controller is installed in the room of the resident in the second type of billing unit to control and monitor the indoor temperature of the resident in the second type of billing unit. The required indoor temperature of the household is determined based on the indoor temperature of the household in the second billing unit. Heating costs are calculated based on the expected indoor temperature of the residents in the second billing unit. Determining the appropriate indoor temperature for a resident based on the indoor temperature of the resident using the second billing unit includes: For households of the same type, under the condition that the heating supply and the ambient temperature of the surrounding environment are the same within a first preset time period, the weighted average indoor temperature of the households of the same type is calculated, and the weighted average indoor temperature is taken as the expected indoor temperature; the households of the same type are those with the same heating method, the same building's heat consumption index and structure, the same area, the same location, and the same apartment layout; the heating method includes radiator heating and underfloor heating. For different types of residents, taking the target building where the target resident is located as a unit, under the condition that the opening time of the smart flow control valve of the residents is the same within the second preset time period, the indoor temperature of all residents in the target building is adjusted so that the average indoor temperature of all residents is the same as the target temperature. When the average indoor temperature of all residents reaches the same target temperature, the indoor-outdoor temperature difference of the target resident is obtained, and the actual heat consumption of the target resident is calculated. Construct a correspondence between the actual heat consumption of the target household and the indoor-outdoor temperature difference; During the heating season, the current actual heat consumption of the target household is calculated. From the correspondence, the indoor-outdoor temperature difference corresponding to the current actual heat consumption of the target household is found. Based on the indoor-outdoor temperature difference corresponding to the current actual heat consumption, the appropriate indoor temperature of the target household is determined. The calculation of heating fees based on the expected indoor temperature of the household using the second billing unit includes: Based on the expected indoor temperature of the residents and the regulations for charging heating fees, the heating fee per square meter for the residents during the heating season is obtained. The heating cost for the household during the heating season is calculated based on the heating cost per square meter and the household's heated area; the expression for the heating cost for the household during the heating season is: in, This refers to the heating cost per square meter for the aforementioned residents during the heating season, of which... For the residents The heating area; If the indoor temperature of a resident reaches the baseline average temperature, the heating fee per square meter will be charged according to the first tier heating fee. For each increase of the indoor temperature of a resident above the baseline average temperature by the first target degree, the heating fee will increase by the first target fee, and for each decrease of the indoor temperature by the second target degree, the heating fee will decrease by the second target fee. The heating fee per square meter of the resident's heating season will be calculated based on the expected indoor temperature of the resident, the first target fee, or the second target fee.

2. The on-demand heating method as described in claim 1, characterized in that, The same type of households includes households that use radiators for heating and households that use underfloor heating for heating. For households of the same type that use radiator heating, the same ambient temperature means that the indoor temperatures of the adjacent households to the left, right, top, and bottom of the household are the same, as well as the outdoor temperature corresponding to the wall in contact with the outside, or the average indoor temperature of the two adjacent households to the left and right of the household is the same, or the average indoor temperature of the two adjacent households to the top and bottom of the household is the same. For households using underfloor heating as their heating method, the same ambient temperature means that the indoor temperatures of the adjacent walls on the left, right, top, and bottom of the household are the same, as are the outdoor temperatures of the walls that are in contact with the outside, or the average indoor temperatures of the two adjacent households on the left and right are the same.

3. The on-demand heating method as described in claim 1, characterized in that, The calculation of the target household's current actual heat consumption includes: If the heat transfer coefficient Ki between the target household and its neighboring households is... 邻 Given, then through Jesus 传 =Fi 邻 Ki 邻 (t 住户 -t 邻户 ) Qi 当前实际 =Qi 进入 -Qi 传 Calculate the current actual heat consumption Qi 当前实际 Among them, Fi 邻 The adjacent area is the area between the target household and its neighboring households, whereby the neighboring households include those adjacent to the target household on the left, right, top, and bottom; t 住户 The temperature of the target resident, t 邻户 The temperature of neighboring residents, Qi 传 Heat from neighboring households is transferred to the target household.

4. The on-demand heating method as described in claim 3, characterized in that, The calculation of the current actual heat consumption of the target household also includes: If the heat transfer coefficient Ki between the target household and its neighboring households is... 邻 Unknown, the heat transfer coefficient Ki between the target household and its neighboring households is measured. 邻 ; Measure the heat transfer coefficient Ki between the target household and its neighboring households. 邻 The methods include: Adjust the indoor temperature of only one adjacent household to be lowered or raised, while keeping the indoor temperatures of other adjacent households unchanged; Based on the correspondence between the actual heat consumption of the target household and the indoor-outdoor temperature difference of the target household, the current actual heat consumption Qi is obtained. 当前实际 ; pass Qi 传 =Qi 进入 - Qi 当前实际 Jesus 传 =Fi 邻 Ki 邻 (t 住户 -t 邻户 ) The heat transfer coefficient Ki between the target household and its neighboring households was measured. 邻 ; Based on the measured heat transfer coefficient Ki between the target household and its neighboring households 邻 Calculate the current actual heat consumption Qi 当前实际 .

5. The on-demand heating method as described in claim 1, characterized in that, The accuracy of the indoor temperature uploaded to the cloud platform by the indoor temperature controller is verified based on the first target model and the second target model. The first target model includes a first fixed threshold value, which is the difference between the cumulative flow of the building and the total flow of all residents in the building over a period of time. The second target model includes a second fixed threshold value, which is the difference between the heating supply of the building and the total actual heating consumption of all residents in the building over a period of time. If the cumulative flow of the building with the second billing unit and the sum of the flow of all residents in the building meet the first target model, and the heating supply of the building with the second billing unit and the sum of the actual heating consumption of all residents in the building meet the second target model, then the indoor temperature uploaded to the cloud platform by the indoor temperature controller is an accurate temperature.

6. A system for providing heating on demand, characterized in that, include: The system comprises a cloud platform, a network base station, an indoor temperature controller, an intelligent flow control valve, an indoor temperature sensor, a heat meter, and a solar panel; the system utilizes the on-demand heating method as described in any one of claims 1 to 5.

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