Heat exchange station control method and system based on indoor temperature soft measurement technology

Abstract

The present invention discloses a heat exchange station control method and system based on indoor temperature soft measurement technology. The ideal dynamic mathematical model of a heating system is created by using the thermodynamic energy conservation law and the mass conservation law. The actual dynamic mathematical model of the system is obtained through relevant dynamic simulation and data analysis. The actual dynamic mathematical model is used for heating system characteristic acquisition, dynamic simulation, indoor temperature soft measurement calculation parameter acquisition, control strategy simulation and energy consumption analysis. The indoor temperature soft measurement technology is used for open-loop control of the secondary network circulation flow of the heat exchange station. A complete heating control system is formed by combining the heat exchange station control based on the indoor temperature soft measurement technology with the precise control parameter setting values ​​of the heating system obtained through the actual dynamic mathematical model of the heating system. The system can not only meet the thermal comfort requirements of users, but also obtain obvious social, economic and ecological benefits. The system is suitable for application and promotion in intelligent heating control systems.

Description

Technical Field

[0001] The present invention relates to the technical field of indoor temperature control of heat users of a centralized heating system, and in particular to a heat exchange station control method and system based on indoor temperature soft measurement technology. Background Art

[0002] At present, there are two main challenges in many heating systems: uneven indoor temperatures and high energy consumption. Uneven temperatures lead to reduced thermal comfort for users, causing many complaints and affecting the sense of gain and happiness of heating users. The high energy consumption (heat, electricity, and water) of the heating system causes waste of limited resources, environmental pollution, and deterioration of the ecological system, and also affects the realization of the "dual carbon" and "dual reduction" goals. Therefore, how to reduce system energy consumption while satisfying the heating quality of users is a major problem facing the heating field and a difficult problem that must be solved. In view of the current 10 billion m2 of heating in my country, 2 The above-mentioned centralized heating area not only involves "people-oriented", but also concerns the timely or early realization of low-carbon goals. Its importance is self-evident.

[0003] To ensure the quality of heating for users, the real-time indoor temperature status of users should be clarified first. However, due to the user site, detection instruments, communication systems, engineering costs and data accuracy, it is difficult to detect and upload indoor temperatures of a large number of users. It is necessary to find a way to replace the physical detection methods on site and solve the problem of real-time indoor temperature data from a macro and timely perspective, which will be conducive to remote monitoring of real-time heating quality and optimization of system control.

[0004] As mentioned earlier, the primary goal of the heating system is to ensure the user's indoor temperature. When appropriate methods are used to obtain the user's indoor temperature, combined with the advanced smart heating control system, the free heat of the system is fully utilized. Under the premise of ensuring the quality of heating, the system energy consumption is effectively reduced, the economic benefits of the enterprise are increased, and the ecological quality of the surrounding environment can be significantly improved, prompting the heating system to move towards green, healthy and sustainable development. Summary of the invention

[0005] The object of the present invention is to provide a heat exchange station control method and system based on indoor temperature soft measurement technology, so as to effectively reduce the energy consumption of the heating system while ensuring the heating quality.

[0006] To achieve the above object, the present invention provides a heat exchange station control method based on indoor temperature soft measurement technology, comprising:

[0007] S1: According to the first law of thermodynamics and the law of conservation of mass, the actual dynamic mathematical model of the heating system is obtained by simulation analysis based on the physical parameters, design parameters and measured operation data of the heating system;

[0008] S2: by simulating the actual dynamic mathematical model of the heating system, respectively obtaining a relationship model between the water temperature of the heating system and the outdoor temperature and a calculation model of the indoor temperature;

[0009] S3: Input the outdoor temperature value obtained in real time into the relationship model between the water temperature of the heating system and the outdoor temperature to calculate the primary network water supply temperature setting value and the secondary network water supply temperature setting value of the heat exchange station, and determine the secondary network circulation flow control variable according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value and the controller algorithm model;

[0010] S4: inputting the real-time acquired indoor heat gain intensity, solar radiation intensity, outdoor temperature and the secondary network circulation flow control variable into the indoor temperature calculation model to calculate the indoor temperature soft measurement value;

[0011] S5: Determine the control parameters of the controller algorithm model according to the primary network water supply temperature set value, the secondary network water supply temperature set value, the indoor temperature soft measurement value, the indoor temperature set value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value, and use the control parameters to perform compensation control on the heat exchange station.

[0012] Optionally, the S1 includes:

[0013] According to the first law of thermodynamics and the law of conservation of mass, a mathematical description is given to the heat transfer, exchange and storage process of the control body of the heating system and an ideal dynamic mathematical model of the heating system is created, wherein the control body includes a heat source boiler, a primary network of a heat exchange station, a secondary network of a heat exchange station, a radiator and indoor air;

[0014] Using the physical parameters, design parameters and measured operation data of the heating system, the ideal dynamic mathematical model of the heating system is simulated and analyzed to obtain the heat transfer area surplus coefficient of the heat exchanger and the heat transfer area surplus coefficient of the radiator;

[0015] Substituting the surplus coefficient of heat transfer area of ​​the heat exchanger and the surplus coefficient of heat transfer area of ​​the radiator into the ideal dynamic mathematical model of the heating system obtains the actual dynamic mathematical model of the heating system.

[0016] Optionally, the heat transfer, exchange and storage process of the control body of the heating system is mathematically described as follows:

[0017]

[0018] Where: C b , C x1 , C x2 , C ht , C aRespectively represent the heat capacity of the boiler body, the primary side of the heat exchanger, the secondary side of the heat exchanger, the radiator and the indoor air, in J / ℃; t represents time, in s; G fd Indicates the rated fuel flow rate of the boiler in Nm 3 / s; HV represents the lower heating value of fuel, the unit is J / Nm 3 ; η b represents boiler efficiency; u2 represents secondary network circulation flow control variable; c w Indicates the specific heat of water, the unit is J / Kg℃; G 1d , G 2d Respectively represent the primary / secondary network design circulation flow, the unit is Kg / s; f x 、f ht Respectively represent the heat transfer area surplus coefficient of the heat exchanger and radiator; U x , U ht , U e They represent the comprehensive heat transfer coefficient of the heat exchanger, radiator and building envelope, respectively, in W / ℃; LMTD represents the logarithmic mean temperature difference, in ℃; C ht Indicates the coefficient in the heat transfer coefficient test of the radiator; F w Indicates the exterior window area, in m 2 ; F represents the heating area, the unit is m 2 ;q s Indicates the solar radiation intensity in W / m 2 ;q int Indicates the indoor heat gain intensity, in W / m 2 ; C st1 ~C st5 is the integration constant.

[0019] Optionally, the S2 includes:

[0020] Without considering solar radiation and indoor heat gain, the relationship model between the water temperature of the heating system and the outdoor temperature is obtained by simulating the actual dynamic mathematical model of the heating system, wherein the water temperature of the heating system includes: the primary network water supply temperature, the secondary network water supply temperature and the secondary network return water temperature;

[0021] The system parameters are input into the actual dynamic mathematical model of the heating system to calculate the calculation coefficients of the indoor temperature calculation model, and the indoor temperature calculation model is established according to the calculation coefficients, wherein the system parameters include indoor heating intensity, secondary network circulation flow control variables, solar radiation intensity and outdoor temperature.

[0022] Optionally, the secondary network circulation flow control variable calculated based on the indoor temperature soft measurement can be expressed as:

[0023] u2=f0+f1To 2 +f2q int 2 +f3T z 2 +f4T o +f5q s +f6q int +f7T z +f8T o q int +f9T o T z +f 10 q s q int +f 11 T z q int ---(2)

[0024] Among them, f0~f 11 is the calculation coefficient; T z Indicates the indoor temperature in °C; T o Indicates the outdoor temperature in °C.

[0025] Optionally, the S5 includes:

[0026] Determine a first control parameter of the controller algorithm model based on the primary network water supply temperature set value, the secondary network water supply temperature set value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value, and use the first control parameter to perform closed-loop compensation control on the heat exchange station;

[0027] The secondary network circulation flow control parameter is determined by comparing the indoor temperature soft measurement value and the indoor temperature setting value, and the secondary network circulation flow control parameter is used to perform open-loop compensation control on the heat exchange station.

[0028] Optionally, the S5 includes:

[0029] A first water supply temperature error and a second water supply temperature error are calculated according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value;

[0030] The first water supply temperature error and the second water supply temperature error are respectively input into the controller algorithm model to calculate the fuel control parameter and the flow control parameter of the primary side electric regulating valve of the heat exchange station, wherein the first control parameter includes the fuel control parameter and the flow control parameter of the primary side electric regulating valve of the heat exchange station;

[0031] The fuel control parameter is used to adjust the fuel control variable of the heat source controller to change the heat source water supply temperature, and the flow control parameter of the primary side electric regulating valve of the heat exchange station is used to adjust the opening of the primary side electric regulating valve of the heat exchange station to adjust the secondary network water supply temperature in real time.

[0032] On the other hand, the present invention also provides a heat exchange station control system based on indoor temperature soft measurement technology, comprising:

[0033] A mathematical model creation module is used to obtain the actual dynamic mathematical model of the heating system by simulation analysis based on the first law of thermodynamics and the law of conservation of mass and on the physical parameters, design parameters and measured operation data of the heating system;

[0034] A simulation module, used to obtain a relationship model between the water temperature of the heating system and the outdoor temperature and an indoor temperature calculation model by simulating the actual dynamic mathematical model of the heating system;

[0035] A determination module, used to input the outdoor temperature value obtained in real time into the relationship model between the water temperature of the heating system and the outdoor temperature to calculate the primary network water supply temperature setting value and the secondary network water supply temperature setting value of the heat exchange station, and determine the secondary network circulation flow control variable according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value and the controller algorithm model;

[0036] An indoor temperature acquisition module is used to input the real-time acquired indoor heat gain intensity, solar radiation intensity, outdoor temperature and the secondary network circulation flow control variable into the indoor temperature calculation model to calculate the indoor temperature soft measurement value;

[0037] And, a compensation control module is used to determine the control parameters of the controller algorithm model according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the indoor temperature soft measurement value, the indoor temperature setting value, the obtained primary network water supply temperature actual value and the secondary network water supply temperature actual value, and use the control parameters to perform compensation control on the heat exchange station.

[0038] On the other hand, the present invention further provides an electronic device, comprising: a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the heat exchange station control method based on indoor temperature soft measurement technology as described above is implemented.

[0039] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the heat exchange station control method based on the indoor temperature soft measurement technology as described above is implemented.

[0040] The method of the present invention has the following advantages:

[0041] In the heat exchange station control method based on indoor temperature soft measurement technology of the present invention, the thermodynamic energy conservation law and mass conservation law are used to create an ideal dynamic mathematical model of the heating system, and through relevant dynamic simulation and data analysis, the actual dynamic mathematical model of the system is obtained, and the actual dynamic mathematical model is used for heating system characteristic acquisition, dynamic simulation, indoor temperature soft measurement calculation parameter acquisition, control strategy simulation and energy consumption analysis; and the indoor temperature soft measurement technology is used for the open-loop control of the secondary network circulation flow of the heat exchange station. Through the heat exchange station control based on the indoor temperature soft measurement technology combined with the precise control parameter setting values ​​of the heating system obtained through the actual dynamic mathematical model of the heating system, a complete heating control system is formed, which can not only meet the user's thermal comfort requirements, but also obtain obvious social, economic and ecological benefits, and is suitable for application and promotion in intelligent heating control systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flow chart of a heat exchange station control method based on indoor temperature soft measurement technology of the present invention;

[0043] Figure 2 It is the process flow and control principle diagram of the heating system;

[0044] Figure 3 It is the dynamic response curve diagram of the ideal dynamic data model of the heating system;

[0045] Figure 4 It is the dynamic response curve diagram of the actual dynamic data model of the heating system;

[0046] Figure 5 It is the dynamic response curve of the heating system under control strategy 1;

[0047] Figure 6 It is the dynamic response curve of the heating system under control strategy 2;

[0048] Figure 7 This is a schematic diagram of indoor temperature soft measurement test data;

[0049] Figure 8 It is the dynamic response curve diagram of flow control variable;

[0050] Fig. 9 It is a structural block diagram of the heat exchange station control system based on the indoor temperature soft measurement technology of the present invention. DETAILED DESCRIPTION

[0051] The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention. In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the described embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0052] See also Figure 1 As shown, an embodiment of the present invention provides a heat exchange station control method based on indoor temperature soft measurement technology, including:

[0053] S1: According to the first law of thermodynamics and the law of conservation of mass, the actual dynamic mathematical model of the heating system is obtained by simulation analysis based on the physical parameters, design parameters and measured operation data of the heating system;

[0054] The specific process of establishing the actual dynamic mathematical model of the heating system in this embodiment includes:

[0055] According to the first law of thermodynamics and the law of conservation of mass, the heat transfer, exchange and storage process of the control body of the heating system is mathematically described and an ideal dynamic mathematical model of the heating system is created, wherein the control body includes the heat source boiler, the primary network of the heat exchange station, the secondary network of the heat exchange station, the radiator and the indoor air;

[0056] The ideal dynamic mathematical model of the heating system is simulated and analyzed using the physical parameters, design parameters and measured operation data of the heating system to obtain the heat transfer area surplus coefficient of the heat exchanger and the heat transfer area surplus coefficient of the radiator;

[0057] Substituting the surplus coefficient of heat transfer area of ​​the heat exchanger and the surplus coefficient of heat transfer area of ​​the radiator into the ideal dynamic mathematical model of the heating system, the actual dynamic mathematical model of the heating system is obtained.

[0058] For details, please refer to the physical model of the heating system. Figure 2 For example, an indirect connection heating system includes a heat source (boiler), a heat exchange station and civil buildings. The heating building area and design heat load are 24830m 2 The heat source is a gas boiler with a rated thermal power of 1.4MW, and the user terminal heat dissipation device is a convection radiator. Figure 2 The symbol means T s1sp , T s2sp Indicates the primary / secondary network water supply temperature setting value, in °C; T o Indicates outdoor temperature in °C; f, C1 represents the boiler fuel and heat exchange station secondary network water supply temperature controller, namely the heat source controller and heat exchange station controller; u f , u1 represents the boiler fuel flow and primary network circulation flow control variables; T s1 , T r1 , T s2 , T r2 , T z They respectively represent the primary network supply / return water temperature, secondary network supply / return water temperature and indoor temperature, in ℃.

[0059] The creation of the dynamic data model in this embodiment is based on the first law of thermodynamics and the law of conservation of mass, and mathematically describes the heat transfer, exchange and storage process of the control body (heat source boiler, primary side of heat exchanger, secondary side of heat exchanger, radiator and indoor air) of the heating system. The process of creating the dynamic mathematical model is appropriately simplified under the premise of ensuring the main characteristics of the heating system. The simplified conditions are: the heat dissipation loss and water replenishment loss of the heating network of the heating system are not considered, the lumped parameter method is used for some physical parameters, the secondary network achieves hydraulic balance, and the delay effect caused by the length of the heating network is not considered.

[0060] Based on the above conservation laws, the heat transfer, exchange and storage process of the control body of the heating system is mathematically described as follows:

[0061]

[0062] Where: C b , C x1 , C x2 , C ht , C a Respectively represent the heat capacity of the boiler body, the primary side of the heat exchanger, the secondary side of the heat exchanger, the radiator and the indoor air, in J / ℃; t represents time, in s; G fd Indicates the rated fuel flow rate of the boiler in Nm 3 / s; HV represents the lower heating value of fuel, the unit is J / Nm 3 ; η b represents boiler efficiency; u2 represents secondary network circulation flow control variable; c w Indicates the specific heat of water, the unit is J / Kg℃; G 1d , G 2d Respectively represent the primary / secondary network design circulation flow, the unit is Kg / s; f x 、f ht Respectively represent the heat transfer area surplus coefficient of the heat exchanger and radiator; U x , U ht , U eThey represent the comprehensive heat transfer coefficient of the heat exchanger, radiator and building envelope, respectively, in W / ℃; LMTD represents the logarithmic mean temperature difference, in ℃; C ht Indicates the coefficient in the heat transfer coefficient test of the radiator; F w Indicates the exterior window area, in m 2 ; F represents the heating area, the unit is m 2 ;q s Indicates the solar radiation intensity in W / m 2 ;q int Indicates the indoor heat gain intensity, in W / m 2 ; C st1 ~C st5 is the integration constant.

[0063] The above is an ideal dynamic data model of the heating system. Based on the physical parameters, design parameters, measured operation data of the heating system and the simulation analysis and calculation of the ideal model, the heat transfer area surplus coefficients of the heat exchanger and radiator are obtained, for example, 1.4 and 1.35 respectively. Substituting this coefficient value into the ideal mathematical model, the actual dynamic mathematical model of the heating system can be obtained.

[0064] The actual dynamic mathematical model of the heating system in this embodiment is composed of 5 dynamic equations, which can be used for system characteristic acquisition, dynamic simulation, indoor temperature soft measurement calculation coefficient acquisition, operation status analysis, control strategy and energy consumption analysis, etc.

[0065] After establishing the actual dynamic mathematical model of the heating system, experiments need to be conducted on the model to determine its adaptability, stability and accuracy.

[0066] First, an ideal model open-loop experiment is conducted: under the design outdoor temperature, solar radiation and indoor heat gain are not considered, and the heat network circulation flow is used as the design parameter. To ensure that the indoor temperature is 20°C, the heat source fuel control variable is adjusted to 0.767. The dynamic response of the ideal dynamic data model open-loop test of the heating system is shown in Figure 3 .like Figure 3 As shown in the figure, when the system reaches a steady state after running for 6 hours, the heat source supply and return water temperature, the heat exchange station secondary network supply and return water temperature and the user's indoor temperature are 105℃, 55℃, 65℃, 45℃ and 20℃ respectively, all reaching the system design parameters, suggesting that this ideal dynamic mathematical model is accurate under the design conditions. In addition, due to the existence of the system heat capacity, it takes 6 hours for the heating system operating parameters to reach a steady state.

[0067] Secondly, the actual dynamic data model open-loop experiment is carried out. The same input parameters as those in the ideal dynamic mathematical model open-loop experiment are used. When the heat source fuel control variable is adjusted to 0.793, the dynamic response of the actual dynamic mathematical model of the system is shown in Figure 4, the heat source supply and return water temperature, the heat exchange station secondary network supply and return water temperature and the user's indoor temperature are 87.5℃, 37.5℃, 52.5℃, 32.4℃ and 20℃ respectively, all reaching the system design parameters, suggesting that this actual dynamic mathematical model is accurate under the design conditions. The simulation results show that when designing the outdoor temperature, in order to meet the design indoor temperature, it is not necessary for the heat source to reach the design water supply temperature. The main reason is that the heat transfer area of ​​the heat exchange station and the radiator has a surplus coefficient, and the larger the coefficient, the greater the drop in the heat source water supply temperature.

[0068] S2: By simulating the actual dynamic mathematical model of the heating system, the relationship model between the water temperature of the heating system and the outdoor temperature and the indoor temperature calculation model are obtained respectively;

[0069] In this embodiment, without considering solar radiation and indoor heat gain, the relationship model between the water temperature of the heating system and the outdoor temperature is obtained by simulating the actual dynamic mathematical model of the heating system, wherein the water temperature of the heating system includes: the primary network water supply temperature, the secondary network water supply temperature and the secondary network return water temperature;

[0070] Specifically, since the heat load and heat supply of the heating system are mainly related to the outdoor temperature, the corresponding relationship between the water temperature of the heating system and the outdoor temperature can be obtained through simulation of the actual dynamic data model of the system (without considering the influence of solar radiation and indoor heat gain), as shown in Table 1 for details.

[0071] Table 1 Correspondence between water temperature of heating system and outdoor temperature

[0072] Outdoor temperature, °C 10 5 0 -5 -10 -15 Primary water supply temperature, ℃ 44.2 54.8 65.3 75.5 85.5 95.3 Secondary water supply temperature, ℃ 32.9 37.9 42.7 47.2 51.6 55.8 Secondary return water temperature, ℃ 26.5 28.2 29.8 31.1 32.2 33.2

[0073] In this embodiment, the system parameters are input into the actual dynamic mathematical model of the heating system to obtain the calculation coefficients of the indoor temperature calculation model, and the indoor temperature calculation model is established based on the calculation coefficients, wherein the system parameters include indoor heat intensity, secondary network circulation flow control variables, solar radiation intensity and outdoor temperature.

[0074] The conventional heating system control strategy is used to dynamically simulate the control system. The simulation conditions are as follows:

[0075] (1) Outdoor temperature range for two consecutive days: 0℃~-11℃;

[0076] (2) Solar radiation intensity range for two consecutive days: 0W / m 2 ~157W / m 2 ;

[0077] (3) Indoor heat gain intensity range for two consecutive days: 3.7W / m 2 ~6.5W / m 2 .

[0078] The control algorithm used is a typical closed-loop PID control algorithm. Since the dynamic temperature change process of the heating system is relatively slow, the differential part of the PID algorithm can be ignored, that is, the PID algorithm is simplified to the PI algorithm, and the calculation formula is as follows:

[0079]

[0080] Among them, u represents the control variable; k p , k i represents the proportional and integral constants of the PI controller; T sp , T msd Respectively represent the control temperature set value and measured value, the unit is ℃.

[0081] The conventional control strategy of the heating system (referred to as control strategy 1) is: the heat source controller (u f ) changes the heat source water supply temperature by adjusting the fuel control variable; the heat exchange station controller (u1) changes the secondary network water supply temperature by adjusting the primary side electric regulating valve of the heat exchange station; the setting values ​​of the heat source water supply temperature and the secondary water supply temperature of the heat exchange station are both based on empirical data; the controller (u f and u1) are both closed-loop controlled; the secondary network circulation flow is the design flow. Under the above simulation conditions, the system dynamic response of control strategy 1 is shown in Figure 5 .like Figure 5 As shown in (a), the actual water supply temperature of the heat source and the actual secondary water supply temperature of the heat exchange station can change with the change of outdoor temperature. The average water supply temperature of the secondary network is 11.4℃ higher than the average return water temperature of the primary network; the average return water temperature of the primary network is 3.5℃ higher than the average return water temperature of the secondary network. Figure 5 (b) shows the dynamic change of indoor temperature. The indoor temperature fluctuation range (excluding the influence of the initial value of simulation 6 hours ago) and the average value are 20.7℃~25.8℃ and 22.6℃ respectively. It can be seen that the fluctuation range is large, which affects the thermal comfort of users. At the same time, the average value also exceeds the set temperature by 2.6℃, which increases the heat consumption of the system.

[0082] Observation Control Strategy 1( Figure 5 ) dynamic response, in order to improve the user's heating quality, we need to start from two aspects: first, timely detect the real-time user indoor temperature and compensate for system interference; second, improve the accuracy of the heat source water supply temperature and the secondary network water supply temperature setting value of the heat exchange station. As mentioned earlier, many reasons affect the installation of indoor temperature collectors in users' rooms and the accuracy of data collection. Therefore, if the indoor temperature is calculated by combining the actual operation data of the heating system and the obtained interference data and used in the control strategy of the heating system, it will greatly improve the control accuracy of the heating system. This technology is called indoor temperature soft measurement technology based on the dynamic mathematical model of the heating system. The calculation method is as follows:

[0083] Tz =f(u2,q s ,q int , T o )-----(4)

[0084] The indoor temperature soft-sensing test data is shown in the figure under different input conditions. Figure 7 The system input parameters are indoor heat gain intensity ( Figure 7 (a)), secondary network flow control variables ( Figure 7 (b)), solar radiation intensity ( Figure 7 (c)), outdoor temperature ( Figure 7 (d)), the output indoor temperature soft measurement data is shown in Figure 7 (e).

[0085] Specifically, in this embodiment, when applied to a heating control system, the secondary network circulation flow control variable calculated based on the indoor temperature soft measurement can be expressed as:

[0086] u2=f0+f1T o 2 +f2q int 2 +f3T z 2 +f4T o +f5q s +f6q int +f7T z +f8T o q int +f9T o T z +f 10 q s q int +f 11 T z q int ---(2)

[0087] Among them, f0~f 11 is the calculation coefficient; T z Indicates the indoor temperature in °C; T o Indicates the outdoor temperature in °C.

[0088] In this example, f0~f 11 They are -24.7165, 0.0003, 0.0563, -0.0116, -0.3348, -0.0148, 5.6530, 1.5894, 0.0005, 0.0164, 0.0027, and -0.3153, respectively. Note that the range of u2 is [0, 1].

[0089] S3: Input the outdoor temperature value obtained in real time into the relationship model between the water temperature of the heating system and the outdoor temperature to calculate the primary network water supply temperature setting value and the secondary network water supply temperature setting value of the heat exchange station, and determine the secondary network circulation flow control variable according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value and the controller algorithm model;

[0090] S4: input the real-time acquired indoor heat gain intensity, solar radiation intensity, outdoor temperature and secondary network circulation flow control variables into the indoor temperature calculation model to calculate the indoor temperature soft measurement value;

[0091] S5: Determine the control parameters of the controller algorithm model according to the primary network water supply temperature set value, the secondary network water supply temperature set value, the indoor temperature soft measurement value, the indoor temperature set value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value, and use the control parameters to perform compensation control on the heat exchange station.

[0092] In this embodiment, S5 specifically includes: determining a first control parameter of the controller algorithm model based on the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the obtained primary network water supply temperature measured value, and the secondary network water supply temperature measured value, and performing closed-loop compensation control on the heat exchange station using the first control parameter;

[0093] The secondary network circulation flow control parameters are determined by comparing the indoor temperature soft measurement value and the indoor temperature set value, and the secondary network circulation flow control parameters are used to perform open-loop compensation control on the heat exchange station.

[0094] Furthermore, in this embodiment, the specific steps of using the first control parameter to perform closed-loop compensation control on the heat exchange station include:

[0095] A first water supply temperature error and a second water supply temperature error are calculated according to a primary network water supply temperature setting value, a secondary network water supply temperature setting value, an obtained primary network water supply temperature measured value, and a secondary network water supply temperature measured value;

[0096] The first water supply temperature error and the second water supply temperature error are respectively input into the controller algorithm model to calculate the fuel control parameter and the flow control parameter of the primary-side electric regulating valve of the heat exchange station, wherein the first control parameter includes the fuel control parameter and the flow control parameter of the primary-side electric regulating valve of the heat exchange station; the fuel control parameter is used to adjust the fuel control variable of the heat source controller to change the heat source water supply temperature (i.e., the primary network water supply temperature), and the flow control parameter of the primary-side electric regulating valve of the heat exchange station is used to adjust the opening of the primary-side electric regulating valve of the heat exchange station to adjust the secondary network water supply temperature in real time.

[0097] Specifically, this embodiment adopts heating system control strategy 2 based on indoor temperature soft measurement technology, and its simulation conditions and control algorithm are the same as those of control strategy 1.

[0098] In this embodiment, control strategy 2 is as follows: the heat source controller changes the heat source water supply temperature by adjusting the fuel control variable; the heat exchange station controller changes the secondary network water supply temperature by adjusting the primary side electric regulating valve; the heat source water supply temperature and the heat exchange station secondary water supply temperature setting values ​​are derived from the actual dynamic model simulation data of the heating system (see Table 1); the controller (u f and u1) are both closed-loop controlled; the secondary network circulation flow control adopts open-loop control, and the system interference is comprehensively compensated based on the indoor temperature soft measurement technology. The dynamic response of the heating system of control strategy 2 is as follows: Figure 6 As shown. Figure 5 (a) and Figure 6 (a) It can be seen that the heat source water supply temperature and the secondary water supply temperature of the heat exchange station in control strategy 1 are both higher than the corresponding values ​​of control strategy 2. Figure 5 (b) and Figure 6 (b) It can be seen that the dynamic response of indoor temperature of control strategy 2 is significantly better than that of indoor temperature of control strategy 1. The indoor temperature variation range and average value (excluding the influence of simulation initial value) of control strategy 2 are 18.6℃~20.3℃ and 19.6℃ respectively. In most time periods, the indoor temperature can be controlled within the range of 20±0.5℃, which can not only meet the heating quality of users, but also achieve energy saving and consumption reduction of the system.

[0099] The dynamic response of the flow control variables for control strategies 1 and 2 is shown in Figure 8 .like Figure 8 As shown in the figure, the average values ​​of boiler fuel control variable, primary network circulation flow control variable and secondary network circulation flow control variable in control strategies 1 and 2 are 0.61, 0.94, 1, 0.55, 0.67 and 0.58 respectively. It can be inferred that when the control strategy 2 is adopted, the heat can be saved by 9.8%, and the primary network and secondary network electricity can be saved by 63.9% and 80.5% respectively. It can be seen that the control strategy based on indoor temperature soft measurement technology can obtain obvious economic benefits.

[0100] In summary, it can be seen that the heat exchange station control method based on indoor temperature soft measurement technology in the embodiment of the present invention uses the thermodynamic energy conservation law and mass conservation law to create an ideal dynamic mathematical model of the heating system, and through relevant dynamic simulation and data analysis, obtain the actual dynamic mathematical model of the system, and the actual dynamic mathematical model is used for heating system characteristic acquisition, dynamic simulation, indoor temperature soft measurement calculation parameter acquisition, control strategy simulation and energy consumption analysis; and the indoor temperature soft measurement technology is used for the open-loop control of the secondary network circulation flow of the heat exchange station. Through the heat exchange station control based on the indoor temperature soft measurement technology combined with the precise control parameter setting value of the heating system obtained through the dynamic mathematical model, a complete heating control system is formed (through dynamic simulation, it can be seen that nearly 10% of the heat saving and more than 50% of the electricity consumption reduction can be obtained), which can not only meet the user's thermal comfort requirements, but also obtain obvious social, economic and ecological benefits, and is suitable for application and promotion in smart heating control systems.

[0101] On the other hand, see Fig. 9 As shown, the embodiment of the present invention further provides a heat exchange station control system 1 based on indoor temperature soft measurement technology, including:

[0102] The mathematical model creation module 10 is used to obtain the actual dynamic mathematical model of the heating system by simulation analysis based on the first law of thermodynamics and the law of conservation of mass and on the physical parameters, design parameters and measured operation data of the heating system;

[0103] The simulation module 20 is used to obtain the relationship model between the water temperature of the heating system and the outdoor temperature and the indoor temperature calculation model by simulating the actual dynamic mathematical model of the heating system;

[0104] The determination module 30 is used to input the outdoor temperature value obtained in real time into the relationship model between the water temperature of the heating system and the outdoor temperature to calculate the primary network water supply temperature setting value and the secondary network water supply temperature setting value of the heat exchange station, and determine the secondary network circulation flow control variable according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value and the controller algorithm model;

[0105] The indoor temperature acquisition module 40 is used to input the real-time acquired indoor heat gain intensity, solar radiation intensity, outdoor temperature and secondary network circulation flow control variable into the indoor temperature calculation model to calculate the indoor temperature soft measurement value;

[0106] And, the compensation control module 50 is used to determine the control parameters of the controller algorithm model according to the primary network water supply temperature set value, the secondary network water supply temperature set value, the indoor temperature soft measurement value, the indoor temperature set value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value, and use the control parameters to perform compensation control on the heat exchange station.

[0107] The specific details of each module in the above-mentioned heat exchange station control system based on indoor temperature soft measurement technology have been described in detail in the corresponding heat exchange station control method based on indoor temperature soft measurement technology, so they will not be repeated here.

[0108] On the other hand, an embodiment of the present invention further provides an electronic device, including: a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the heat exchange station control method based on indoor temperature soft measurement technology as described in the above embodiment is implemented.

[0109] Specifically, the above-mentioned memory and processor can be general-purpose memory and processor, which are not specifically limited here. When the processor runs the computer-readable instructions stored in the memory, it can execute the heat exchange station control method based on indoor temperature soft measurement technology described in the above embodiment.

[0110] On the other hand, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the heat exchange station control method based on indoor temperature soft measurement technology as described in the above embodiment.

[0111] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0112] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A heat exchange station control method based on indoor temperature soft measurement technology, characterized in that: include: S1: According to the first law of thermodynamics and the law of conservation of mass, the actual dynamic mathematical model of the heating system is obtained by simulation analysis based on the physical parameters, design parameters and measured operation data of the heating system; S2: by simulating the actual dynamic mathematical model of the heating system, respectively obtaining a relationship model between the water temperature of the heating system and the outdoor temperature and a calculation model of the indoor temperature; S3: Input the outdoor temperature value obtained in real time into the relationship model between the water temperature of the heating system and the outdoor temperature to calculate the primary network water supply temperature setting value and the secondary network water supply temperature setting value of the heat exchange station, and determine the secondary network circulation flow control variable according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value and the controller algorithm model; S4: inputting the real-time acquired indoor heat gain intensity, solar radiation intensity, outdoor temperature and the secondary network circulation flow control variable into the indoor temperature calculation model to calculate the indoor temperature soft measurement value; S5: Determine the control parameters of the controller algorithm model according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the indoor temperature soft measurement value, the indoor temperature setting value, the obtained primary network water supply temperature actual measurement value and the secondary network water supply temperature actual measurement value, and use the control parameters to perform compensation control on the heat exchange station; Wherein, the S5 includes: Determine a first control parameter of the controller algorithm model based on the primary network water supply temperature set value, the secondary network water supply temperature set value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value, and use the first control parameter to perform closed-loop compensation control on the heat exchange station; Determine a secondary network circulation flow control parameter by comparing the indoor temperature soft measurement value and the indoor temperature setting value, and use the secondary network circulation flow control parameter to perform open-loop compensation control on the heat exchange station; The method of determining the first control parameter of the controller algorithm model based on the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value, and using the first control parameter to perform closed-loop compensation control on the heat exchange station is specifically as follows: A first water supply temperature error and a second water supply temperature error are calculated according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value; The first water supply temperature error and the second water supply temperature error are respectively input into the controller algorithm model to calculate the fuel control parameter and the flow control parameter of the primary side electric regulating valve of the heat exchange station, wherein the first control parameter includes the fuel control parameter and the flow control parameter of the primary side electric regulating valve of the heat exchange station; The fuel control parameter is used to adjust the fuel control variable of the heat source controller to change the heat source water supply temperature, and the flow control parameter of the primary side electric regulating valve of the heat exchange station is used to adjust the opening of the primary side electric regulating valve of the heat exchange station to adjust the secondary network water supply temperature in real time.

2. The heat exchange station control method based on indoor temperature soft measurement technology according to claim 1 is characterized in that: The S1 includes: According to the first law of thermodynamics and the law of conservation of mass, a mathematical description is given to the heat transfer, exchange and storage process of the control body of the heating system and an ideal dynamic mathematical model of the heating system is created, wherein the control body includes a heat source boiler, a primary network of a heat exchange station, a secondary network of a heat exchange station, a radiator and indoor air; Using the physical parameters, design parameters and measured operation data of the heating system, the ideal dynamic mathematical model of the heating system is simulated and analyzed to obtain the heat transfer area surplus coefficient of the heat exchanger and the heat transfer area surplus coefficient of the radiator; Substituting the surplus coefficient of heat transfer area of ​​the heat exchanger and the surplus coefficient of heat transfer area of ​​the radiator into the ideal dynamic mathematical model of the heating system obtains the actual dynamic mathematical model of the heating system.

3. The heat exchange station control method based on indoor temperature soft measurement technology according to claim 2 is characterized in that: The heat transfer, exchange and storage process of the control body of the heating system is mathematically described as follows: Where: C b , C x1 , C x2 , C ht , C a Respectively represent the heat capacity of the boiler body, the primary side of the heat exchanger, the secondary side of the heat exchanger, the radiator and the indoor air, in J / ℃; t represents time, in s; G fd Indicates the rated fuel flow rate of the boiler in Nm 3 / s; HV represents the lower heating value of fuel, the unit is J / Nm 3 ; η b represents boiler efficiency; u2 represents secondary network circulation flow control variable; c w Indicates the specific heat of water, the unit is J / Kg℃; G 1d , G 2d Respectively represent the primary / secondary network design circulation flow, the unit is Kg / s; f x 、f ht Respectively represent the heat transfer area surplus coefficient of the heat exchanger and radiator; U x , U ht , U e They represent the comprehensive heat transfer coefficient of the heat exchanger, radiator and building envelope, respectively, in W / ℃; LMTD represents the logarithmic mean temperature difference, in ℃; C ht Indicates the coefficient in the heat transfer coefficient test of the radiator; F w Indicates the exterior window area, in m 2 ; F represents the heating area, the unit is m 2 ;q s Indicates the solar radiation intensity in W / m 2 ;q int Indicates the indoor heat gain intensity, in W / m 2 ; C st1 ~C st5 is the integration constant.

4. The heat exchange station control method based on indoor temperature soft measurement technology according to claim 1 is characterized in that: The S2 includes: Without considering solar radiation and indoor heat gain, the relationship model between the water temperature of the heating system and the outdoor temperature is obtained by simulating the actual dynamic mathematical model of the heating system, wherein the water temperature of the heating system includes: the primary network water supply temperature, the secondary network water supply temperature and the secondary network return water temperature; The system parameters are input into the actual dynamic mathematical model of the heating system to calculate the calculation coefficients of the indoor temperature calculation model, and the indoor temperature calculation model is established according to the calculation coefficients, wherein the system parameters include indoor heating intensity, secondary network circulation flow control variables, solar radiation intensity and outdoor temperature.

5. The heat exchange station control method based on indoor temperature soft measurement technology according to claim 4 is characterized in that: By transforming the indoor temperature calculation model, the expression of the secondary network circulation flow control variable can be obtained as follows: u2=f0+f1T o 2 +f2q int 2 +f3T z 2 +f4T o +f5q s +f6q int +f7T z +f8T o q int +f9T o T z +f 10 q s q int +f 11 T z q int ---(2) Among them, f0~f 11 is the calculation coefficient; T z Indicates the indoor temperature in °C; T o Indicates the outdoor temperature in °C.

6. A heat exchange station control system based on indoor temperature soft measurement technology, characterized in that: include: A mathematical model creation module is used to obtain the actual dynamic mathematical model of the heating system by simulation analysis based on the first law of thermodynamics and the law of conservation of mass and on the physical parameters, design parameters and measured operation data of the heating system; A simulation module, used to obtain a relationship model between the water temperature of the heating system and the outdoor temperature and an indoor temperature calculation model by simulating the actual dynamic mathematical model of the heating system; A determination module, used to input the outdoor temperature value obtained in real time into the relationship model between the water temperature of the heating system and the outdoor temperature to calculate the primary network water supply temperature setting value and the secondary network water supply temperature setting value of the heat exchange station, and determine the secondary network circulation flow control variable according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value and the controller algorithm model; An indoor temperature acquisition module is used to input the real-time acquired indoor heat gain intensity, solar radiation intensity, outdoor temperature and the secondary network circulation flow control variable into the indoor temperature calculation model to calculate the indoor temperature soft measurement value; and, a compensation control module, for determining control parameters of the controller algorithm model according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the indoor temperature soft measurement value, the indoor temperature setting value, the obtained primary network water supply temperature actual measurement value and the secondary network water supply temperature actual measurement value, and using the control parameters to perform compensation control on the heat exchange station; Wherein, the compensation control module is specifically used for: Determine a first control parameter of the controller algorithm model based on the primary network water supply temperature set value, the secondary network water supply temperature set value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value, and use the first control parameter to perform closed-loop compensation control on the heat exchange station; Determine a secondary network circulation flow control parameter by comparing the indoor temperature soft measurement value and the indoor temperature setting value, and use the secondary network circulation flow control parameter to perform open-loop compensation control on the heat exchange station; The method of determining the first control parameter of the controller algorithm model based on the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value, and using the first control parameter to perform closed-loop compensation control on the heat exchange station is specifically as follows: A first water supply temperature error and a second water supply temperature error are calculated according to the primary network water supply temperature setting value, the secondary network water supply temperature setting value, the obtained primary network water supply temperature measured value and the secondary network water supply temperature measured value; The first water supply temperature error and the second water supply temperature error are respectively input into the controller algorithm model to calculate the fuel control parameter and the flow control parameter of the primary side electric regulating valve of the heat exchange station, wherein the first control parameter includes the fuel control parameter and the flow control parameter of the primary side electric regulating valve of the heat exchange station; The fuel control parameter is used to adjust the fuel control variable of the heat source controller to change the heat source water supply temperature, and the flow control parameter of the primary side electric regulating valve of the heat exchange station is used to adjust the opening of the primary side electric regulating valve of the heat exchange station to adjust the secondary network water supply temperature in real time.

7. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the heat exchange station control method based on indoor temperature soft measurement technology according to any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the heat exchange station control method based on indoor temperature soft measurement technology as described in any one of items 1-5 is implemented.

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