Method and device for evaluating heat supply effect of central heating system

Abstract

The invention relates to a heat supply effect evaluation method and device of a central heating system, a storage medium and electronic equipment. The heat supply effect evaluation method of the central heating system comprises the steps that basic data of unit heat supply residents and room temperature data of residents provided with temperature panels are collected, data analysis is carried out to calculate the comprehensive characteristic parameter Kn of each resident, a T-K relation curve is constructed according to the actually measured room temperature data Ti and the comprehensive characteristic parameter Kn of each building heat supply resident, and the heat supply effect evaluation result of the central heating system is obtained. Estimating the room temperature Tj of the resident without the temperature panel in the corresponding building; according to the actually measured room temperature of the panel with the temperature and the estimated room temperature of the panel without the temperature, the average room temperature of all households of the building at the t moment is determined; and according to the standard deviation of the room temperature of all the residents at the t moment and the average room temperature of all the residents at the t moment of the building, the building room temperature unbalance degree and the building room temperature comprehensive fluctuation degree including all the heat supply residents are constructed, so that the heat supply effect of the central heat supply system is comprehensively evaluated, and the heat supply effect evaluation accuracy is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of integrated energy technology, and in particular to a heating effect evaluation method for a centralized heating system, a heating effect evaluation device for a centralized heating system, a storage medium, and an electronic device. Background Art

[0002] The central heating system is mainly composed of four parts: heat source, heat network, heat exchange station and heat user (terminal heat dissipation facilities). Among them, the heat source is usually a thermal power plant or a regional boiler room, which is equipped with a large coal-fired or natural gas heating boiler. In recent years, various types of heat sources using clean energy have also appeared, such as small natural gas boilers, various heat pump units, nuclear energy, solar energy, geothermal energy, etc. The heat network is the heating pipeline network, which is a pipeline system for transporting and distributing heating media, including the primary pipeline network laid on municipal roads and the secondary pipeline network laid in the community, etc. However, in the development of urban construction, as an assessment of urban quality development, the evaluation of the heating effect of the central heating system on residential communities is indispensable. Summary of the invention

[0003] In view of this, the embodiments of the present disclosure are intended to provide a heating effect evaluation method for a centralized heating system, a heating effect evaluation device for a centralized heating system, a storage medium, and an electronic device.

[0004] The technical solution of the present disclosure is achieved as follows:

[0005] In a first aspect, the present disclosure provides a method for evaluating the heating effect of a centralized heating system.

[0006] The method for evaluating the heating effect of a centralized heating system provided in the embodiment of the present disclosure includes:

[0007] Obtain basic data of residents whose heating units are provided by the central heating system and room temperature data of residents whose temperature panels are installed; wherein the basic data of residents whose heating units are provided by the system include heating status of neighboring households and building area of ​​the residents; the measured room temperature data include measured room temperature data Ti of the residents;

[0008] Obtaining the geometric parameters and physical parameters of each household in the basic data, and the heating status of the surrounding neighboring households; wherein the geometric parameters are used to characterize the household building area and the wall area, and the physical parameters are used to characterize the wall heat transfer capacity; determining the comprehensive characteristic parameter Kn of each household based on the household geometric parameters and physical parameters;

[0009] According to the measured room temperature data Ti of each building's heating residents and the corresponding characteristic parameter comprehensive Kn, a Sigmoid function model is constructed to fit a "TK" relationship curve;

[0010] According to the "TK" curve, estimate the estimated room temperature Tj of the residents in the corresponding building without installing the temperature panel;

[0011] Determine the average room temperature of all households in the building at time t based on the measured room temperature with temperature panels and the estimated room temperature Tj without temperature panels;

[0012] According to the standard deviation of the room temperature of all households at time t and the average room temperature of all households in the building at time t, the imbalance degree of the room temperature of the building including all heating households is constructed; the imbalance degree of the room temperature of the building represents the uniformity of the room temperature of the building within the calculation time period;

[0013] According to the room temperature of all heating households n at time t, heating households n in the time period The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. The comprehensive fluctuation degree represents the degree of room temperature fluctuation of the building during the calculation time period;

[0014] The heating effect of the centralized heating system is evaluated based on at least one evaluation index of the comprehensive fluctuation degree and the imbalance degree.

[0015] In some embodiments, the calculation of the characteristic parameter comprehensive Kn of each household according to the household geometric parameters and physical parameters includes:

[0016] K n =(F out K1+(1-a in1 )F in1 K2+(1-a in2 )F out K 21 +(1-a down )F down K3

[0017] +(1-a up )F up K4) / A n ;in,

[0018] The geometric parameters include:

[0019] External wall heat transfer coefficient K1, internal wall heat transfer coefficient K2, floor heat transfer coefficient K3, roof heat transfer coefficient K4;

[0020] The physical parameters include:

[0021] Total outdoor wall area F out , the interior wall area of ​​the left neighboring household F in1 , the interior wall area of ​​the right neighboring household F in2 , Floor area of ​​household F down、Household roof area F up ;

[0022] F out is the total area of ​​the outdoor wall, K1 is the corresponding heat transfer coefficient of the external wall; F in1 is the interior wall area of ​​the neighboring household on the left, K2 is the corresponding interior wall heat transfer coefficient, a in1 Heating status of the neighboring household on the left; A n The building area corresponding to household n;

[0023] F in2 is the interior wall area of ​​the right neighboring household, a in2 Heating status for the right neighbor;

[0024] F down is the floor area of ​​the household, K3 is the corresponding floor heat transfer coefficient, a down Heating status for the next door neighbor;

[0025] F up is the roof area of ​​the household, K4 is the corresponding roof heat transfer coefficient, a up Heating status for the upper neighbor.

[0026] In some embodiments, the Sigmoid function model is constructed based on the measured room temperature data Ti of the heating residents in each building and the characteristic parameter Kn corresponding to the residents to fit a "TK" relationship curve, including:

[0027] Where: a, b, σa, b, σ are the parameters to be fitted: a is the scaling parameter of the function, which controls the "width" of the Sigmoid curve; b is the offset parameter of the function, which controls the "position" of the Sigmoid curve; σ is the independent variable of the Sigmoid function, which controls the "steepness" of the curve; It is the average K value of all residents with temperature panels in the unit building; the K value is the comprehensive characteristic parameters corresponding to the residents with temperature panels.

[0028] In some embodiments, determining the average room temperature of all households in the building at time t based on the measured room temperature with the temperature panel and the estimated room temperature Tj without the temperature panel includes:

[0029] Where N1 is the number of households with temperature panels installed, T i，t represents the collected room temperature at time t for households with temperature panels installed; N2 represents the number of households without temperature panels installed, T j，t represents the estimated room temperature at time t for a household without a temperature panel.

[0030] In some embodiments, the estimated room temperature T of the residents of the corresponding building without installing the temperature panel is estimated based on the "TK" curve.j ,include:

[0031] T j =f(K n );in, Where: a, b, σa, b, σ are the parameters to be fitted: a is the scaling parameter of the function, which controls the "width" of the Sigmoid curve; b is the offset parameter of the function, which controls the "position" of the Sigmoid curve; σ is the independent variable of the Sigmoid function, which controls the "steepness" of the curve; It is the average K value of all residents with temperature panels in the unit building; the K value is the comprehensive characteristic parameters corresponding to the residents with temperature panels.

[0032] In some embodiments, the imbalance CV t The calculation formula is as follows:

[0033]

[0034] T n，t represents the room temperature of all heating households n at time t, A n represents the building area corresponding to household n, represents the average room temperature of all households at time t.

[0035] In some embodiments, the specific formula for the comprehensive volatility is as follows:

[0036]

[0037] T n，t represents the room temperature of all heating households n at time t, Indicates the heating household n in the time period Average room temperature in the room; A i Represents the building area corresponding to household i.

[0038] In a second aspect, the present disclosure provides a heating effect evaluation device for a centralized heating system, comprising:

[0039] The data acquisition module is used to obtain the basic data of the residents of the central heating system and the room temperature data of the residents who have installed the temperature panel; wherein the basic data of the residents of the unit heating system includes the heating status of the neighboring households and the building area of ​​the residents; the measured room temperature data includes the measured room temperature data Ti of the residents;

[0040] A heating status acquisition module, used to acquire the geometric parameters and physical parameters of each household in the basic data, and the heating status of the surrounding neighboring households; wherein the geometric parameters are used to characterize the household building area and the wall area, and the physical parameters are used to characterize the wall heat transfer capacity;

[0041] The characteristic parameter comprehensive determination module is used to determine the characteristic parameter comprehensive Kn of each household according to the household geometric parameters and physical parameters;

[0042] The relationship curve construction module is used to construct a Sigmoid function model to fit a "TK" relationship curve based on the measured room temperature data Ti of each building's heating residents and the characteristic parameter synthesis Kn corresponding to the residents;

[0043] A room temperature estimation module, used to estimate the estimated room temperature Tj of the residents of the corresponding building without installing the temperature panel according to the "TK" curve;

[0044] The average room temperature determination module is used to determine the average room temperature of all households in the building at time t based on the measured room temperature with the temperature panel and the estimated room temperature Tj without the temperature panel;

[0045] The imbalance degree acquisition module is used to construct the imbalance degree of the room temperature of the building including all heating households according to the standard deviation of the room temperature of all households at time t and the average room temperature of all households in the building at time t; the imbalance degree of the room temperature of the building represents the uniformity of the room temperature of the building within the calculation time period;

[0046] The fluctuation degree acquisition module is used to obtain the room temperature of all heating households n at time t, the temperature of heating households n in the time period, and the fluctuation degree of heating households n in the time period. The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. The comprehensive fluctuation degree represents the degree of room temperature fluctuation of the building during the calculation time period;

[0047] A heating effect evaluation module is used to evaluate the heating effect of the centralized heating system based on at least one evaluation index of the comprehensive fluctuation degree and the imbalance degree.

[0048] In a third aspect, the present disclosure provides a computer-readable storage medium having stored thereon a heating effect evaluation program for a centralized heating system, which, when executed by a processor, implements the heating effect evaluation method for a centralized heating system described in the first aspect above.

[0049] In a fourth aspect, the present disclosure provides an electronic device comprising a memory, a processor, and a heating effect evaluation program for a central heating system stored in the memory and executable on the processor, wherein when the processor executes the heating effect evaluation program for the central heating system, the heating effect evaluation method for the central heating system described in the first aspect above is implemented.

[0050] The method for evaluating the heating effect of a centralized heating system according to an embodiment of the present disclosure includes obtaining basic data of residents provided with heating by the centralized heating system and room temperature data of residents provided with temperature panels; wherein the basic data of residents provided with heating by the unit include heating status of neighboring households and building area of ​​the residents; the measured room temperature data include measured room temperature data Ti of the residents; obtaining geometric parameters and physical parameters of each household in the basic data, and heating status of surrounding neighboring households; wherein the geometric parameters are used to characterize building area of ​​the residents and wall area thereof, and the physical parameters are used to characterize heat transfer capacity of the wall; determining the comprehensive characteristic parameter Kn of each household according to the geometric parameters and physical parameters of the household; and determining the comprehensive characteristic parameter Kn of each household according to the measured room temperature data of the residents provided with heating in each building. The room temperature data Ti and the characteristic parameters corresponding to the household are integrated with Kn to construct a Sigmoid function model to fit a "TK" relationship curve; based on the "TK" curve, the estimated room temperature Tj of the residents in the corresponding building without temperature panels installed is estimated; based on the measured room temperature with temperature panels and the estimated room temperature Tj without temperature panels, the average room temperature of all households in the building at time t is determined; based on the standard deviation of the room temperature of all households at time t and the average room temperature of all households in the building at time t, the imbalance degree of the room temperature of the building including all heating households is constructed; the imbalance degree of the room temperature of the building represents the uniformity of the room temperature of the building within the calculation time period; based on the room temperature of all heating households n at time t, the average room temperature of heating households n within the time period The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. Among them, the comprehensive fluctuation degree characterizes the degree of fluctuation of the room temperature of the building within the calculation time period; the heating effect of the centralized heating system is evaluated based on at least one evaluation index of the comprehensive fluctuation degree and the imbalance degree. In the present application, by collecting the basic data of the residents heated by the unit and the room temperature data of the residents installed with the temperature panel, and performing data analysis to calculate the comprehensive characteristic parameter Kn of each household, a Sigmoid function model is constructed according to the measured room temperature data Ti of the heating residents in each building and its comprehensive characteristic parameter Ki to fit a "TK" relationship curve; according to the "TK" curve, the room temperature Tj of the residents in the corresponding building without the temperature panel installed is estimated; according to the measured room temperature with the temperature panel and the estimated room temperature without the temperature panel, the average room temperature of all households in the building at time t is determined; according to the standard deviation of the room temperature of all households at time t, and the average room temperature of all households in the building at time t, the imbalance degree of the room temperature of the building including all heating residents is constructed; according to the room temperature of all heating residents n at time t, the average room temperature of heating residents n in the time period The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. Therefore, the heating effect of the centralized heating system can be comprehensively evaluated through the imbalance degree and comprehensive fluctuation degree, which is beneficial to improving the accuracy of the evaluation of the heating effect of the centralized heating system.

[0051] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a flow chart of a method for evaluating the heating effect of a centralized heating system according to an exemplary embodiment;

[0053] Figure 2 It is a schematic structural diagram of a heating effect evaluation device for a centralized heating system according to an exemplary embodiment. DETAILED DESCRIPTION

[0054] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0055] The central heating system is mainly composed of four parts: heat source, heat network, heat exchange station and heat user (terminal heat dissipation facilities). Among them, the heat source is usually a thermal power plant or a regional boiler room, which is equipped with a large coal-fired or natural gas heating boiler. In recent years, various types of heat sources using clean energy have also appeared, such as small natural gas boilers, various heat pump units, nuclear energy, solar energy, geothermal energy, etc. The heat network is the heating pipeline network, which is a pipeline system for transporting and distributing heating media, including the primary pipeline network laid on municipal roads and the secondary pipeline network laid in the community, etc. However, in the development of urban construction, as an assessment of urban quality development, the evaluation of the heating effect of the central heating system on residential communities is indispensable.

[0056] In view of the above situation, the present disclosure provides a method for evaluating the heating effect of a centralized heating system. Figure 1 FIG. 1 is a flow chart of a method for evaluating the heating effect of a centralized heating system according to an exemplary embodiment. Figure 1 As shown, the heating effect evaluation method of the central heating system includes:

[0057] Step 10, obtaining basic data of the residents of the centralized heating system and room temperature data of the residents of the temperature panel installation; wherein the basic data of the residents of the unit heating system includes the heating status of the neighboring households and the building area of ​​the residents; the measured room temperature data includes the measured room temperature data Ti of the residents;

[0058] Step 11, obtaining the geometric parameters and physical parameters of each household in the basic data, and the heating status of the surrounding neighboring households; wherein the geometric parameters are used to characterize the household building area and the wall area, and the physical parameters are used to characterize the wall heat transfer capacity; Step 12, determining the characteristic parameter comprehensive Kn of each household according to the household geometric parameters and physical parameters;

[0059] Step 13: According to the measured room temperature data Ti of the heating residents in each building and the characteristic parameter comprehensive Kn corresponding to the residents, a Sigmoid function model is constructed to fit a "TK" relationship curve;

[0060] Step 14: according to the "TK" curve, estimate the estimated room temperature Tj of the residents in the corresponding building without installing the temperature panel;

[0061] Step 15: Determine the average room temperature of all households in the building at time t based on the measured room temperature with the temperature panel and the estimated room temperature Tj without the temperature panel;

[0062] Step 16: construct a building room temperature imbalance degree including all heating households according to the standard deviation of the room temperature of all households at time t and the average room temperature of all households in the building at time t; the building room temperature imbalance degree represents the uniformity of the room temperature of the building within the calculation time period;

[0063] Step 17: Based on the room temperature of all heating households n at time t, the heating households n in the time period The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. The comprehensive fluctuation degree represents the degree of room temperature fluctuation of the building during the calculation time period;

[0064] Step 18: Evaluate the heating effect of the centralized heating system based on at least one evaluation index of the comprehensive fluctuation degree and the imbalance degree.

[0065] In this exemplary embodiment, the evaluation of the heating effect of the central heating system uses two indicators, namely, imbalance and comprehensive fluctuation, as the evaluation criteria for the heating effect. When determining the two indicators, the basic data of the residents of the central heating system and the room temperature data of the residents of the temperature panel are collected. The basic data includes the geometric parameters and physical parameters of each resident; the geometric parameters include:

[0066] External wall heat transfer coefficient K1, internal wall heat transfer coefficient K2, floor heat transfer coefficient K3, roof heat transfer coefficient K4;

[0067] The physical parameters include:

[0068] Total outdoor wall area F out, the interior wall area of ​​the left neighboring household F in1 , the interior wall area of ​​the right neighboring household F in2 , Floor area of ​​household F down 、Household roof area F up .

[0069] In this exemplary embodiment, according to the measured room temperature data Ti of the heating households in each building and the characteristic parameter comprehensive Kn corresponding to the households, a Sigmoid function model is constructed to fit a "TK" relationship curve; according to the "TK" curve, the estimated room temperature Tj of the residents in the corresponding building without temperature panels installed is estimated; according to the measured room temperature with temperature panels and the estimated room temperature Tj without temperature panels, the average room temperature of all households in the building at time t is determined; according to the standard deviation of the room temperature of all households at time t, and the average room temperature of all households in the building at time t, the imbalance degree of the room temperature of the building including all heating households is constructed; the imbalance degree of the room temperature of the building represents the uniformity of the room temperature of the building within the calculation time period; according to the room temperature of all heating households n at time t, the average room temperature of heating households n within the time period The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. The comprehensive fluctuation represents the degree of room temperature fluctuation of the building within the calculation time period; the heating effect of the central heating system is evaluated based on at least one evaluation index of the comprehensive fluctuation and the imbalance. In this way, the heating effect of the central heating system is comprehensively evaluated by the imbalance and comprehensive fluctuation, which is conducive to improving the accuracy of the heating effect evaluation of the central heating system.

[0070] In some embodiments, the calculation of the characteristic parameter comprehensive Kn of each household according to the household geometric parameters and physical parameters includes:

[0071] K n =(F out K1+(1-a in1 )F in1 K2+(1-a in2 )F out K 21 +(1-a down )F dowm K3

[0072] +(1-a up )F up K4) / A n ;in,

[0073] The geometric parameters include:

[0074] External wall heat transfer coefficient K1, internal wall heat transfer coefficient K2, floor heat transfer coefficient K3, roof heat transfer coefficient K4;

[0075] The physical parameters include:

[0076] Total outdoor wall area F out , the interior wall area of ​​the left neighboring household F in1 , the interior wall area of ​​the right neighboring household F in2 , Floor area of ​​household F down 、Household roof area F up ;

[0077] F out is the total area of ​​the outdoor wall, K1 is the corresponding heat transfer coefficient of the external wall; F in1 is the interior wall area of ​​the neighboring household on the left, K2 is the corresponding interior wall heat transfer coefficient, a in1 Heating status of the neighboring household on the left; A n The building area corresponding to household n;

[0078] F in2 is the interior wall area of ​​the right neighboring household, a in2 Heating status for the right neighbor;

[0079] F down is the floor area of ​​the household, K3 is the corresponding floor heat transfer coefficient, a down Heating status for the next door neighbor;

[0080] F up is the roof area of ​​the household, K4 is the corresponding roof heat transfer coefficient, a up Heating status for the upper neighbor.

[0081] In this exemplary embodiment, the comprehensive characteristic parameter Kn takes into account both the geographical location of the heating household and the heating status of the households above, below, left and right of the household. Kn represents the heat dissipation capacity of the household, and the larger the Kn, the greater the heat dissipation.

[0082] In some embodiments, the Sigmoid function model is constructed based on the measured room temperature data Ti of the heating residents in each building and the characteristic parameter Kn corresponding to the residents to fit a "TK" relationship curve, including:

[0083] Where: a, b, σa, b, σ are the parameters to be fitted: a is the scaling parameter of the function, which controls the "width" of the Sigmoid curve; b is the offset parameter of the function, which controls the "position" of the Sigmoid curve; σ is the independent variable of the Sigmoid function, which controls the "steepness" of the curve; It is the average K value of all residents with temperature panels in the unit building; the K value is the comprehensive characteristic parameters corresponding to the residents with temperature panels.

[0084] In this exemplary embodiment, when the heating is constant, the comprehensive Kn is negatively correlated with the room temperature Tn. Taking the building as the unit, according to the measured room temperature data Ti and the comprehensive characteristic parameter Ki of each building's heating residents, a Sigmoid function model is constructed to fit a "TK" relationship curve.

[0085] In some embodiments, determining the average room temperature of all households in the building at time t based on the measured room temperature with the temperature panel and the estimated room temperature Tj without the temperature panel includes:

[0086] Where N1 is the number of households with temperature panels installed, T i，t represents the collected room temperature at time t for households with temperature panels installed; N2 represents the number of households without temperature panels installed, T j，t represents the estimated room temperature at time t for a household without a temperature panel.

[0087] In this exemplary embodiment, the above comprehensive building room temperature can be used to evaluate the heating quality of the building, and this can be used as a goal to further guide the adjustment of heating parameters (water supply temperature, flow) at the next moment.

[0088] In some embodiments, the estimated room temperature T of the residents of the corresponding building without installing the temperature panel is estimated based on the "TK" curve. j ,include:

[0089] T j =f(K n );in, Where: a, b, σa, b, σ are the parameters to be fitted: a is the scaling parameter of the function, which controls the "width" of the Sigmoid curve; b is the offset parameter of the function, which controls the "position" of the Sigmoid curve; σ is the independent variable of the Sigmoid function, which controls the "steepness" of the curve; It is the average K value of all residents with temperature panels in the unit building; the K value is the comprehensive characteristic parameters corresponding to the residents with temperature panels.

[0090] Among them, residents with temperature panels will have a set of data sets (K, T), which are used to fit the a and b values ​​of the above formula; for residents without temperature panels, their physical parameter K is known, and the temperature can be obtained through the above formula.

[0091] In this exemplary embodiment, the degree of imbalance CV t The calculation formula is as follows:

[0092]

[0093] T n，trepresents the room temperature of all heating households n at time t, A n represents the building area corresponding to household n, represents the average room temperature of all households at time t.

[0094] In this exemplary embodiment, the larger the coefficient of variation, the more uneven the room temperature, and the greater the degree of imbalance. This index can be used as one of the indicators for evaluating the balancing effect of the two networks.

[0095] In some embodiments, the specific formula for the comprehensive volatility is as follows:

[0096]

[0097] T n，t represents the room temperature of all heating households n at time t, Indicates the heating household n in the time period Average room temperature in the room; A i Represents the building area corresponding to household i.

[0098] In this exemplary embodiment, T n，t represents the room temperature of all heating households n at time t, Indicates the heating household n in the time period The average room temperature within a period of time; the larger the coefficient of variation, the greater the fluctuation in room temperature during this period of time, and the resident may have opened windows or doors.

[0099] According to the room temperature fluctuation of each household and the building area of ​​the household, the comprehensive room temperature fluctuation of the building including all heating households can be constructed. The larger the value is, the greater the room temperature fluctuation is during the calculation period, and the greater the possibility of human behavior such as opening windows and doors in the entire building.

[0100] In the present application, after obtaining the comprehensive fluctuation degree and the imbalance degree, the heating effect of the central heating system can be evaluated based on at least one evaluation index of the comprehensive fluctuation degree and the imbalance degree. For example, the greater the imbalance degree, the worse the heating effect of the central heating system, indicating that the heating is uneven. The greater the comprehensive fluctuation degree, the greater the possibility of human behavior such as opening windows and doors in the entire building. In the case of excluding human window opening and door opening, the greater the comprehensive fluctuation degree, the worse the heating effect of the central heating system.

[0101] The present invention provides a heating effect evaluation device for a centralized heating system. Figure 2 FIG. 1 is a schematic diagram of a heating effect evaluation device for a centralized heating system according to an exemplary embodiment. Figure 2 As shown, the heating effect evaluation device of the central heating system comprises:

[0102] The data acquisition module 20 is used to acquire the basic data of the residents of the central heating system and the room temperature data of the residents who have installed the temperature panel; wherein the basic data of the residents of the unit heating system includes the heating status of the neighboring households and the building area of ​​the residents; the measured room temperature data includes the measured room temperature data Ti of the residents;

[0103] The heating status acquisition module 21 is used to acquire the geometric parameters and physical parameters of each household in the basic data, and the heating status of the surrounding neighboring households; wherein the geometric parameters are used to characterize the building area of ​​the household and the wall area, and the physical parameters are used to characterize the heat transfer capacity of the wall;

[0104] The characteristic parameter comprehensive determination module 22 is used to determine the characteristic parameter comprehensive Kn of each household according to the household geometric parameters and physical parameters;

[0105] The relationship curve construction module 23 is used to construct a Sigmoid function model to fit a "TK" relationship curve according to the measured room temperature data Ti of the heating residents in each building and the characteristic parameter synthesis Kn corresponding to the residents;

[0106] A room temperature estimation module 24, for estimating the estimated room temperature Tj of the residents of the corresponding building without installing the temperature panel according to the "TK" curve;

[0107] The average room temperature determination module 25 is used to determine the average room temperature of all households in the building at time t according to the measured room temperature with the temperature panel and the estimated room temperature Tj without the temperature panel;

[0108] The imbalance degree acquisition module 26 is used to construct the imbalance degree of the room temperature of the building including all heating households according to the standard deviation of the room temperature of all households at time t and the average room temperature of all households in the building at time t; the imbalance degree of the room temperature of the building represents the uniformity of the room temperature of the building within the calculation time period;

[0109] The fluctuation degree acquisition module 27 is used to obtain the room temperature of all heating households n at time t, the room temperature of heating households n within a time period, and the room temperature of all heating households n at time t. The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. The comprehensive fluctuation degree represents the degree of room temperature fluctuation of the building during the calculation time period;

[0110] The heating effect evaluation module 28 is used to evaluate the heating effect of the centralized heating system based on at least one evaluation index of the comprehensive fluctuation degree and the imbalance degree.

[0111] In this exemplary embodiment, the evaluation of the heating effect of the central heating system uses two indicators, namely, imbalance and comprehensive fluctuation, as the evaluation criteria for the heating effect. When determining the two indicators, the basic data of the residents of the central heating system and the room temperature data of the residents of the temperature panel are collected. The basic data includes the geometric parameters and physical parameters of each resident; the geometric parameters include:

[0112] External wall heat transfer coefficient K1, internal wall heat transfer coefficient K2, floor heat transfer coefficient K3, roof heat transfer coefficient K4;

[0113] The physical parameters include:

[0114] Total outdoor wall area F out , the interior wall area of ​​the left neighboring household F in1 , the interior wall area of ​​the right neighboring household F in2 , Floor area of ​​household F down 、Household roof area F up .

[0115] In this exemplary embodiment, according to the measured room temperature data Ti of the heating households in each building and the characteristic parameter comprehensive Kn corresponding to the households, a Sigmoid function model is constructed to fit a "TK" relationship curve; according to the "TK" curve, the estimated room temperature Tj of the residents in the corresponding building without temperature panels installed is estimated; according to the measured room temperature with temperature panels and the estimated room temperature Tj without temperature panels, the average room temperature of all households in the building at time t is determined; according to the standard deviation of the room temperature of all households at time t, and the average room temperature of all households in the building at time t, the imbalance degree of the room temperature of the building including all heating households is constructed; the imbalance degree of the room temperature of the building represents the uniformity of the room temperature of the building within the calculation time period; according to the room temperature of all heating households n at time t, the average room temperature of heating households n within the time period The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. The comprehensive fluctuation represents the degree of room temperature fluctuation of the building within the calculation time period; the heating effect of the central heating system is evaluated based on at least one evaluation index of the comprehensive fluctuation and the imbalance. In this way, the heating effect of the central heating system is comprehensively evaluated by the imbalance and comprehensive fluctuation, which is conducive to improving the accuracy of the heating effect evaluation of the central heating system.

[0116] In some embodiments, the characteristic parameter comprehensive determination module is used to

[0117] K n =(F out K1+(1-a in1 )F in1 K2+(1-ain2 )F out K 21 +(1-a down )F down K3

[0118] +(1-a up )F up K4) / A n ;in,

[0119] The geometric parameters include:

[0120] External wall heat transfer coefficient K1, internal wall heat transfer coefficient K2, floor heat transfer coefficient K3, roof heat transfer coefficient K4;

[0121] The physical parameters include:

[0122] Total outdoor wall area F out , the interior wall area of ​​the left neighboring household F in1 , the interior wall area of ​​the right neighboring household F in2 , Floor area of ​​household F down 、Household roof area F up ;

[0123] F out is the total area of ​​the outdoor wall, K1 is the corresponding heat transfer coefficient of the external wall; F in1 is the interior wall area of ​​the neighboring household on the left, K2 is the corresponding interior wall heat transfer coefficient, a in1 Heating status of the neighboring household on the left; A n The building area corresponding to household n;

[0124] F in2 is the interior wall area of ​​the right neighboring household, a in2 Heating status for the right neighbor;

[0125] F down is the floor area of ​​the household, K3 is the corresponding floor heat transfer coefficient, a down Heating status for the next door neighbor;

[0126] F up is the roof area of ​​the household, K4 is the corresponding roof heat transfer coefficient, a up Heating status for the upper neighbor.

[0127] In this exemplary embodiment, the comprehensive characteristic parameter Kn takes into account both the geographical location of the heating household and the heating status of the households above, below, left and right of the household. Kn represents the heat dissipation capacity of the household, and the larger the Kn, the greater the heat dissipation.

[0128] In some embodiments, the relationship curve building module is used to

[0129] Where: a, b, σa, b, σ are the parameters to be fitted: a is the scaling parameter of the function, which controls the "width" of the Sigmoid curve; b is the offset parameter of the function, which controls the "position" of the Sigmoid curve; σ is the independent variable of the Sigmoid function, which controls the "steepness" of the curve; It is the average K value of all residents with temperature panels in the unit building; the K value is the comprehensive characteristic parameters corresponding to the residents with temperature panels.

[0130] In this exemplary embodiment, when the heating is constant, the comprehensive Kn is negatively correlated with the room temperature Tn. Taking the building as the unit, according to the measured room temperature data Ti and the comprehensive characteristic parameter Ki of each building's heating residents, a Sigmoid function model is constructed to fit a "TK" relationship curve.

[0131] In some embodiments, the average room temperature determination module is used to

[0132] Where N1 is the number of households with temperature panels installed, T i，t represents the collected room temperature at time t for households with temperature panels installed; N2 represents the number of households without temperature panels installed, T j，t represents the estimated room temperature at time t for a household without a temperature panel.

[0133] In this exemplary embodiment, the above comprehensive building room temperature can be used to evaluate the heating quality of the building, and this can be used as a goal to further guide the adjustment of heating parameters (water supply temperature, flow) at the next moment.

[0134] In some embodiments, the room temperature estimation module is used to

[0135] T j =f(K n );in, Where: a, b, σa, b, σ are the parameters to be fitted: a is the scaling parameter of the function, which controls the "width" of the Sigmoid curve; b is the offset parameter of the function, which controls the "position" of the Sigmoid curve; σ is the independent variable of the Sigmoid function, which controls the "steepness" of the curve; It is the average K value of all residents with temperature panels in the unit building; the K value is the comprehensive characteristic parameters corresponding to the residents with temperature panels.

[0136] In this exemplary embodiment, the degree of imbalance CV t The calculation formula is as follows:

[0137]

[0138] T n，t represents the room temperature of all heating households n at time t, An represents the building area corresponding to household n, represents the average room temperature of all households at time t.

[0139] In this exemplary embodiment, the larger the coefficient of variation, the more uneven the room temperature, and the greater the degree of imbalance. This index can be used as one of the indicators for evaluating the balancing effect of the two networks.

[0140] In some embodiments, the specific formula for the comprehensive volatility is as follows:

[0141]

[0142] T n，t represents the room temperature of all heating households n at time t, Indicates the heating household n in the time period Average room temperature in the room; A i Represents the building area corresponding to household i.

[0143] In this exemplary embodiment,

[0144] T n，t represents the room temperature of all heating households n at time t, Indicates the heating household n in the time period The average room temperature within a period of time; the larger the coefficient of variation, the greater the fluctuation in room temperature during this period of time, and the resident may have opened windows or doors.

[0145] According to the room temperature fluctuation of each household and the building area of ​​the household, the comprehensive room temperature fluctuation of the building including all heating households can be constructed. The larger the value is, the greater the room temperature fluctuation is during the calculation period, and the greater the possibility of human behavior such as opening windows and doors in the entire building.

[0146] The present disclosure provides a computer-readable storage medium on which a heating effect evaluation program for a centralized heating system is stored. When the heating effect evaluation program for the centralized heating system is executed by a processor, the heating effect evaluation method for the centralized heating system described in the above embodiments is implemented.

[0147] The present disclosure provides an electronic device, comprising a memory, a processor, and a heating effect evaluation program for a centralized heating system stored in the memory and executable on the processor. When the processor executes the heating effect evaluation program for the centralized heating system, the heating effect evaluation method for the centralized heating system described in the above-mentioned embodiments is implemented.

[0148] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0149] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0150] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0151] In the description of the present disclosure, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present disclosure and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present disclosure.

[0152] In addition, the terms "first", "second", etc. used in the embodiments of the present disclosure are only used for descriptive purposes and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in the embodiments. Therefore, the features defined by the terms "first", "second", etc. in the embodiments of the present disclosure may explicitly or implicitly indicate that at least one of the features is included in the embodiment. In the description of the present disclosure, the word "multiple" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.

[0153] In the present disclosure, unless otherwise clearly specified or limited in the embodiments, the terms "installed", "connected", "connected" and "fixed" etc. appearing in the embodiments should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integrated connection. It can be understood that it can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal connection of two elements, or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present disclosure can be understood according to the specific implementation situation.

[0154] In the present disclosure, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0155] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A method for evaluating the heating effect of a central heating system, characterized in that: include: Obtain basic data of residents whose heating units are provided by the central heating system and room temperature data of residents whose temperature panels are installed; wherein the basic data of residents whose heating units are provided by the system include heating status of neighboring households and building area of ​​the residents; the measured room temperature data include measured room temperature data Ti of the residents; Obtaining the geometric parameters and physical parameters of each household in the basic data, and the heating status of the surrounding neighboring households; wherein the geometric parameters are used to characterize the household building area and the wall area, and the physical parameters are used to characterize the wall heat transfer capacity; determining the comprehensive characteristic parameter Kn of each household based on the household geometric parameters and physical parameters; According to the measured room temperature data Ti of each building's heating household and the corresponding characteristic parameter Kn of the household, a Sigmoid function model is constructed to fit a "TK" relationship curve; According to the "TK" curve, estimate the estimated room temperature Tj of the residents in the corresponding building without installing the temperature panel; Determine the average room temperature of all households in the building at time t based on the measured room temperature with temperature panels and the estimated room temperature Tj without temperature panels; According to the standard deviation of the room temperature of all households at time t and the average room temperature of all households in the building at time t, the imbalance degree of the room temperature of the building including all heating households is constructed; the imbalance degree of the room temperature of the building represents the uniformity of the room temperature of the building within the calculation time period; According to the room temperature of all heating households n at time t, heating households n in the time period The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. The comprehensive fluctuation degree represents the degree of room temperature fluctuation of the building during the calculation time period; The heating effect of the centralized heating system is evaluated based on at least one evaluation index of the comprehensive fluctuation degree and the imbalance degree.

2. The heating effect evaluation method of a centralized heating system according to claim 1, characterized in that: The calculation of the characteristic parameter comprehensive Kn of each household based on the household geometric parameters and physical parameters includes: in, The geometric parameters include: External wall heat transfer coefficient K1, internal wall heat transfer coefficient K2, floor heat transfer coefficient K3, roof heat transfer coefficient K4; The physical parameters include: Total outdoor wall area F out , the interior wall area of ​​the left neighboring household F in1 , the interior wall area of ​​the right neighboring household F in2 , Floor area of ​​household F down 、Household roof area F up ; F out is the total area of ​​the outdoor wall, K1 is the corresponding heat transfer coefficient of the external wall; F in1 is the interior wall area of ​​the neighboring household on the left, K2 is the corresponding interior wall heat transfer coefficient, a in1 Heating status of the neighboring household on the left; A n The building area corresponding to household n; F in2 is the interior wall area of ​​the right neighboring household, a in2 Heating status for the right neighbor; F down is the floor area of ​​the household, K3 is the corresponding floor heat transfer coefficient, a down Heating status for the next door neighbor; F up is the roof area of ​​the household, K4 is the corresponding roof heat transfer coefficient, a up Heating status for the upper neighbor.

3. The heating effect evaluation method of a centralized heating system according to claim 1, characterized in that: According to the measured room temperature data Ti of the heating residents in each building and the characteristic parameter comprehensive Kn corresponding to the residents, a Sigmoid function model is constructed to fit a "TK" relationship curve, including: Where: a, b, σ a，b，c are the parameters to be fitted: a is the scaling parameter of the function, which controls the "width" of the Sigmoid curve; b is the offset parameter of the function, which controls the "position" of the Sigmoid curve; σ is the independent variable of the Sigmoid function, which controls the "steepness" of the curve; It is the average K value of all residents with temperature panels in the unit building; the K value is the comprehensive characteristic parameters corresponding to the residents with temperature panels.

4. The heating effect evaluation method of a centralized heating system according to claim 1, characterized in that: Determining the average room temperature of all households in the building at time t based on the measured room temperature with the temperature panel and the estimated room temperature Tj without the temperature panel includes: Where N1 is the number of households with temperature panels installed, T i，t represents the collected room temperature at time t for households with temperature panels installed; N2 represents the number of households without temperature panels installed, T j，t represents the estimated room temperature at time t for a household without a temperature panel.

5. The heating effect evaluation method of a centralized heating system according to claim 1, characterized in that: According to the "TK" curve, the estimated room temperature T of the residents in the corresponding building without temperature panels installed is estimated. j ,include: T j =f(K n );in, Where: a, b, σ a，b，c are the parameters to be fitted: a is the scaling parameter of the function, which controls the "width" of the Sigmoid curve; b is the offset parameter of the function, which controls the "position" of the Sigmoid curve; σ is the independent variable of the Sigmoid function, which controls the "steepness" of the curve; It is the average K value of all residents with temperature panels in the unit building; the K value is the comprehensive characteristic parameters corresponding to the residents with temperature panels.

6. The heating effect evaluation method of a centralized heating system according to claim 1, characterized in that: Imbalance CV t The calculation formula is as follows: T n，t represents the room temperature of all heating households n at time t, A n represents the building area corresponding to household n, represents the average room temperature of all households at time t.

7. The heating effect evaluation method of a centralized heating system according to claim 1, characterized in that: The specific formula of comprehensive volatility is as follows: T n，t represents the room temperature of all heating households n at time t, Indicates the heating household n in the time period Average room temperature in the room; A i Represents the building area corresponding to household i.

8. A heating effect evaluation device for a central heating system, characterized in that: include: The data acquisition module is used to obtain the basic data of the residents of the central heating system and the room temperature data of the residents who have installed the temperature panel; wherein the basic data of the residents of the unit heating system includes the heating status of the neighboring households and the building area of ​​the residents; the measured room temperature data includes the measured room temperature data Ti of the residents; A heating status acquisition module, used to acquire the geometric parameters and physical parameters of each household in the basic data, and the heating status of the surrounding neighboring households; wherein the geometric parameters are used to characterize the household building area and the wall area, and the physical parameters are used to characterize the wall heat transfer capacity; The characteristic parameter comprehensive determination module is used to determine the characteristic parameter comprehensive Kn of each household according to the household geometric parameters and physical parameters; The relationship curve construction module is used to construct a Sigmoid function model to fit a "TK" relationship curve based on the measured room temperature data Ti of each building's heating residents and the characteristic parameter synthesis Kn corresponding to the residents; A room temperature estimation module, used to estimate the estimated room temperature Tj of the residents in the corresponding building without installing the temperature panel according to the "TK" curve; The average room temperature determination module is used to determine the average room temperature of all households in the building at time t based on the measured room temperature with the temperature panel and the estimated room temperature Tj without the temperature panel; The imbalance degree acquisition module is used to construct the imbalance degree of the room temperature of the building including all heating households according to the standard deviation of the room temperature of all households at time t and the average room temperature of all households in the building at time t; the imbalance degree of the room temperature of the building represents the uniformity of the room temperature of the building within the calculation time period; The fluctuation degree acquisition module is used to obtain the room temperature of all heating households n at time t, the temperature of heating households n in the time period, and the fluctuation degree of heating households n in the time period. The average room temperature in the building, combined with the building area of ​​the residents, is used to construct the comprehensive fluctuation of the building room temperature including all heating residents. The comprehensive fluctuation degree represents the degree of room temperature fluctuation of the building during the calculation time period; A heating effect evaluation module is used to evaluate the heating effect of the centralized heating system based on at least one evaluation index of the comprehensive fluctuation degree and the imbalance degree.

9. A computer-readable storage medium, characterized in that: A heating effect evaluation program for a centralized heating system is stored thereon, and when the heating effect evaluation program for a centralized heating system is executed by a processor, a heating effect evaluation method for a centralized heating system according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The invention comprises a memory, a processor and a heating effect evaluation program of a central heating system which is stored in the memory and can be run on the processor. When the processor executes the heating effect evaluation program of the central heating system, the heating effect evaluation method of the central heating system described in any one of claims 1 to 7 is implemented.

Images