CN115289519A - Heat exchange station control method and system based on indoor temperature soft measurement technology - Google Patents
Heat exchange station control method and system based on indoor temperature soft measurement technology Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The invention discloses a heat exchange station control method and a heat exchange station control system based on an indoor temperature soft measurement technology, wherein an ideal dynamic mathematical model of a heating system is established by using a thermodynamic energy conservation law and a mass conservation law, and an actual dynamic mathematical model of the system is obtained through related dynamic simulation and data analysis, wherein 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 circulation flow of the secondary network of the heat exchange station, and the heat exchange station control based on the indoor temperature soft measurement technology is combined with the accurate control parameter set value of the heat supply system obtained through the actual dynamic mathematical model of the heat supply system to form a complete heat supply control system, so that the heat supply control system can meet the thermal comfort requirement of users, can obtain obvious social, economic and ecological benefits, and is suitable for application and popularization in the intelligent heat supply control system.
Description
Technical Field
The invention relates to the technical field of indoor temperature control of heat users of a centralized heating system, in particular to a heat exchange station control method and system based on an indoor temperature soft measurement technology.
Background
Two major challenges present in many current heating systems are: the indoor temperature of the user is uneven and the energy consumption is higher. The uneven hot and cold leads to the reduction of user's thermal comfort, arouses more complaints, influences heat supply user's gain and happiness. The heating system has high energy consumption (heat, electricity and water), which causes waste of limited resources, environmental pollution and deterioration of an ecosystem, and also affects the realization of the goals of 'double carbon' and 'double reduction'. Therefore, how to reduce the energy consumption of the system under the condition of meeting the heat supply quality of the user is a significant problem and a difficult problem to be solved in the heat supply field. In view of the current 100 hundred million m in China 2 The above central heating area is related to the people-oriented basis, and is also related to the realization of the low-carbon target on schedule or in advance, and the important significance is self-evident.
To ensure the heat supply quality of the user, the real-time indoor temperature state of the user should be determined first. However, due to the reasons of user site, detecting instrument, communication system, construction cost and data accuracy, it is difficult to detect and upload a large amount of indoor temperature of users, and a mode needs to be found to replace the physical detecting means on site, solve the problem of real-time indoor temperature data from macroscopic and timeliness, and be beneficial to remotely monitoring real-time heat supply quality and optimizing system control.
As mentioned above, the primary objective of the heating system is to ensure the indoor temperature of the user, and when the indoor temperature of the user is obtained in a proper manner, the intelligent advanced heating control system is combined, so that the free heat of the system is fully utilized, the energy consumption of the system is effectively reduced on the premise of ensuring the heat supply quality, the economic benefit of enterprises is increased, the ecological quality of the surrounding environment is also obviously improved, and the heating system is promoted to be green, healthy and sustainable development.
Disclosure of Invention
The invention aims to provide a heat exchange station control method and system based on an indoor temperature soft measurement technology, which can effectively reduce the energy consumption of a heating system on the premise of ensuring the heat supply quality.
In order to achieve the purpose, the invention provides a heat exchange station control method based on an indoor temperature soft measurement technology, which comprises the following steps:
s1: according to a first law of thermodynamics and a mass conservation law, carrying out simulation analysis based on physical parameters, design parameters and actually measured operation data of the heating system to obtain an actual dynamic mathematical model of the heating system;
s2: respectively obtaining a relation model between the water temperature of the heat supply system and the outdoor temperature and an indoor temperature calculation model by simulating the actual dynamic mathematical model of the heat supply system;
s3: inputting the outdoor temperature value obtained in real time into a relation model between the water temperature of the heat supply system and the outdoor temperature, calculating to obtain a primary network water supply temperature set value and a secondary network water supply temperature set value of the heat exchange station, and determining a secondary network circulation flow control variable according to the primary network water supply temperature set value, the secondary network water supply temperature set value and a controller algorithm model;
s4: inputting the indoor heat intensity, the solar radiation intensity, the outdoor temperature and the secondary network circulation flow control variable which are acquired in real time into the indoor temperature calculation model to calculate to obtain an indoor temperature soft measurement value;
s5: and determining control parameters of the controller algorithm model according to the set value of the primary network water supply temperature, the set value of the secondary network water supply temperature, the soft measured value of the indoor temperature, the set value of the indoor temperature, the obtained measured value of the primary network water supply temperature and the measured value of the secondary network water supply temperature, and performing compensation control on the heat exchange station by using the control parameters.
Optionally, the S1 includes:
according to a first law of thermodynamics and a first law of mass conservation, mathematically describing heat transfer, exchange and storage processes of a control body of the heat supply system and creating an ideal dynamic mathematical model of the heat supply system, wherein the control body comprises a heat source boiler, a primary network of a heat exchange station, a secondary network of the heat exchange station, a radiator and indoor air;
performing simulation analysis on the ideal dynamic mathematical model of the heating system by using physical parameters, design parameters and actual measurement operation data of the heating system to obtain a heat transfer area margin coefficient of a heat exchanger and a heat transfer area margin coefficient of a radiator;
and substituting the heat transfer area margin coefficient of the heat exchanger and the heat transfer area margin coefficient of the radiator into the ideal dynamic mathematical model of the heating system to obtain an actual dynamic mathematical model of the heating system.
Optionally, the heat transfer, exchange and storage processes of the control body of the heating system are mathematically described as:
wherein: c b 、C x1 、C x2 、C ht 、C a Respectively showing the heat capacities of the boiler body, the primary side of the heat exchanger, the secondary side of the heat exchanger, the radiator and the indoor air, and the unit is J/DEG C; t represents time, in units s; g fd Indicating the rated fuel flow of the boiler in Nm 3 S; HV represents the fuel lower calorific value in J/Nm 3 ；η b Representing boiler efficiency; u. of 2 Representing a secondary network circulation flow control variable; c. C w Represents the specific heat of water, and has the unit of J/Kg; g 1d 、G 2d Respectively representing the designed circulation flow of the primary/secondary net, and the unit is Kg/s; f. of x 、f ht Respectively representing the heat transfer area abundance coefficients of the heat exchanger and the radiator; u shape x 、U ht 、U e Respectively expressing the comprehensive heat transfer coefficients of the heat exchanger, the radiator and the building envelope, wherein the unit is W/DEG C; LMTD represents the logarithmic mean temperature difference in units of ℃; c ht Representing the coefficient in the heat transfer coefficient test of the radiator; f w Denotes the outer window area in m 2 (ii) a F represents the heat supply area and has the unit of m 2 ；q s Representing the intensity of solar radiation in W/m 2 ；q int Represents the indoor heat gain intensity in W/m 2 ；C st1 ～C st5 Is an integration constant。
Optionally, the S2 includes:
under the condition of not considering solar radiation and indoor heat obtaining, a relation model between the water temperature of the heating system and the outdoor temperature is obtained through simulation of an actual dynamic mathematical model of the heating system, wherein the water temperature of the heating system comprises: the temperature of primary network water supply, the temperature of secondary network water supply and the temperature of secondary network return water;
inputting system parameters into the actual dynamic mathematical model of the heating system to calculate to obtain a calculation coefficient of the indoor temperature calculation model, and establishing the indoor temperature calculation model according to the calculation coefficient, wherein the system parameters comprise indoor heat obtaining intensity, secondary network circulation flow control variable, solar radiation intensity and outdoor temperature.
Alternatively, the secondary network circulation flow control variable calculated based on the indoor temperature soft measurement can be expressed as:
u 2 ＝f 0 +f 1 T o 2 +f 2 q int 2 +f 3 T z 2 +f 4 T o +f 5 q s +f 6 q int +f 7 T z +f 8 T o q int +f 9 T o T z +f 10 q s q int +f 11 T z q int ---(2)
wherein f is 0 ～f 11 To calculate the coefficients; t is a unit of z Represents the room temperature in units of; t is a unit of o Represents the outdoor temperature in degrees centigrade.
Optionally, the S5 includes:
determining 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 measured value of the primary network water supply temperature and the measured value of the secondary network water supply temperature, and performing closed-loop compensation control on the heat exchange station by using the first control parameter;
and determining a secondary network circulation flow control parameter by comparing the indoor temperature soft measurement value with the indoor temperature set value, and performing open-loop compensation control on the heat exchange station by using the secondary network circulation flow control parameter.
Optionally, the S5 includes:
calculating a first water supply temperature error and a second water supply temperature error according to 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 obtained secondary network water supply temperature measured value;
inputting the first water supply temperature error and the second water supply temperature error into the controller algorithm model respectively to be calculated to obtain a fuel control parameter and a heat exchange station primary side electric regulating valve flow control parameter, wherein the first control parameter comprises the fuel control parameter and the heat exchange station primary side electric regulating valve flow control parameter;
and adjusting the fuel control variable of the heat source controller by using the fuel control parameter to change the water supply temperature of the heat source, and adjusting the opening of the primary side electrically-controlled valve of the heat exchange station by using the flow control parameter of the primary side electrically-controlled valve of the heat exchange station to adjust the water supply temperature of the secondary network in real time.
On the other hand, the invention also provides a heat exchange station control system based on the indoor temperature soft measurement technology, which comprises the following components:
the mathematical model creating module is used for carrying out simulation analysis based on physical parameters, design parameters and actual measurement operation data of the heating system according to a first law of thermodynamics and a law of mass conservation to obtain an actual dynamic mathematical model of the heating system;
the simulation module is used for respectively obtaining a relation model between the water temperature and the outdoor temperature of the heat supply system and an indoor temperature calculation model by simulating the actual dynamic mathematical model of the heat supply system;
the determining module is used for inputting the outdoor temperature value acquired in real time into a relation model between the water temperature of the heat supply system and the outdoor temperature, calculating to obtain a primary network water supply temperature set value and a secondary network water supply temperature set value of the heat exchange station, and determining a secondary network circulation flow control variable according to the primary network water supply temperature set value, the secondary network water supply temperature set value and a controller algorithm model;
the indoor temperature acquisition module is used for inputting the indoor heat intensity, the solar radiation intensity, the outdoor temperature and the secondary network circulation flow control variable which are acquired in real time into the indoor temperature calculation model to calculate and obtain an indoor temperature soft measurement value;
and the compensation control module is used for determining 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 performing compensation control on the heat exchange station by using the control parameters.
In still another aspect, the present invention provides an electronic device, including: a processor and a memory, the memory having stored thereon computer readable instructions, which when executed by the processor, implement a heat exchange station control method based on an indoor temperature soft measurement technique as described above.
In yet another aspect, the present invention further provides a computer readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the heat exchange station control method based on the indoor temperature soft measurement technique as described above.
The method of the invention has the following advantages:
the heat exchange station control method based on the indoor temperature soft measurement technology provided by the invention is characterized in that a thermodynamic energy conservation law and a mass conservation law are applied to create an ideal dynamic mathematical model of the heating system, and a practical dynamic mathematical model of the system is obtained through related dynamic simulation and data analysis, wherein the practical 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 circulation flow of the secondary network of the heat exchange station, and the heat exchange station control based on the indoor temperature soft measurement technology is combined with the accurate control parameter set value of the heat supply system obtained through the actual dynamic mathematical model of the heat supply system to form a complete heat supply control system, so that the heat supply control system can meet the thermal comfort requirement of users, can obtain obvious social, economic and ecological benefits, and is suitable for application and popularization in the intelligent heat supply control system.
Drawings
Fig. 1 is a schematic flow chart of a heat exchange station control method based on an indoor temperature soft measurement technology according to the present invention;
FIG. 2 is a schematic diagram of a process flow and control of a heating system;
FIG. 3 is a graph of a dynamic response of an ideal dynamic data model of a heating system;
FIG. 4 is a dynamic response curve diagram of an actual dynamic data model of a heating system;
FIG. 5 is a graph of the dynamic response of a heating system under control strategy 1;
FIG. 6 is a graph of the dynamic response of the heating system under control strategy 2;
FIG. 7 is a schematic diagram of indoor temperature soft measurement test data;
FIG. 8 is a graph of flow control variable dynamic response;
fig. 9 is a structural block diagram of a heat exchange station control system based on an indoor temperature soft measurement technology according to the present invention.
Detailed Description
The following examples are intended to illustrate the invention, but are not intended to limit the scope of the invention. In order to make the objects, 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 with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
Referring to fig. 1, an embodiment of the present invention provides a heat exchange station control method based on an indoor temperature soft measurement technology, including:
s1: according to a first law of thermodynamics and a mass conservation law, carrying out simulation analysis based on physical parameters, design parameters and actually measured operation data of the heating system to obtain an actual dynamic mathematical model of the heating system;
the specific process for establishing the actual dynamic mathematical model of the heating system in the embodiment includes:
according to a first law of thermodynamics and a first law of mass conservation, mathematically describing heat transfer, exchange and storage processes of a control body of a heat supply system and creating an ideal dynamic mathematical model of the heat supply system, wherein the control body comprises a heat source boiler, a primary network of a heat exchange station, a secondary network of the heat exchange station, a radiator and indoor air;
performing simulation analysis on an ideal dynamic mathematical model of the heating system by using physical parameters, design parameters and actual measurement operation data of the heating system to obtain a heat transfer area margin coefficient of a heat exchanger and a heat transfer area margin coefficient of a radiator;
and substituting the heat transfer area margin coefficient of the heat exchanger and the heat transfer area margin coefficient of the radiator into the ideal dynamic mathematical model of the heating system to obtain the actual dynamic mathematical model of the heating system.
In particular, the physical model of the heating system is shown in fig. 2, for example: some indirect connection heating system includes a heat source (boiler), a heat exchange station and civil buildings. The heating building area and the design heat load are 24830m respectively 2 And 1.07MW. The heat source is a gas boiler with rated heat power of 1.4MW, and the heat dissipation device at the tail end of the user is a convection heat radiator. The meaning of the symbol in FIG. 2 is T s1sp 、T s2sp The set value of the temperature of the water supplied by the primary/secondary network is expressed, and the unit is; t is o Represents the outdoor temperature in units of; c f 、C 1 The controller represents the temperature controller of the boiler fuel and the water supply temperature of the secondary network of the heat exchange station, namely a heat source controller and a heat exchange station controller; u. of f 、u 1 Representing boiler fuel flow and primary network circulation flow control variables; t is s1 、T r1 、T s2 、T r2 、T z Respectively representing the primary network supply/return water temperature, the secondary network supply/return water temperature and the indoor temperature, and the unit is ℃.
The dynamic data model is created in the embodiment, and the heat transfer, exchange and storage processes of the control bodies (the heat source boiler, the primary side of the heat exchanger, the secondary side of the heat exchanger, the radiator and the indoor air) of the heating system are described mathematically according to the first law of thermodynamics and the law of mass conservation. The process of creating the dynamic mathematical model is properly simplified on the premise of ensuring the main characteristics of the heating system. The simplified conditions are as follows: the heat dissipation loss and the water supply loss of a heat supply network of a heat supply system are not considered, part of physical parameters adopt a lumped parameter method, a secondary network realizes hydraulic balance, and the delay influence caused by the length of the heat supply network is not considered.
Based on the conservation law, the mathematical description of the heat transfer, exchange and storage processes of the control body of the heating system is given as follows:
wherein: c b 、C x1 、C x2 、C ht 、C a Respectively showing the heat capacities of the boiler body, the primary side of the heat exchanger, the secondary side of the heat exchanger, the radiator and the indoor air, and the unit is J/DEG C; t represents time, in units of s; g fd Indicating the rated fuel flow of the boiler in Nm 3 S; HV represents the fuel lower calorific value in J/Nm 3 ；η b Representing boiler efficiency; u. of 2 Representing a secondary network circulation flow control variable; c. C w The specific heat of water is expressed in J/Kg; g 1d 、G 2d Respectively representing the designed circulation flow of the primary/secondary net, wherein the unit is Kg/s; f. of x 、f ht Respectively representing the heat transfer area abundance coefficients of the heat exchanger and the radiator; u shape x 、U ht 、U e Respectively expressing the comprehensive heat transfer coefficients of the heat exchanger, the radiator and the building envelope, wherein the unit is W/DEG C; LMTD represents the logarithmic mean temperature difference in units of ℃; c ht Representing the coefficient in the heat transfer coefficient test of the radiator; f w Denotes the outer window area in m 2 (ii) a F represents the area of heat supply in m 2 ；q s Representing the intensity of solar radiation in W/m 2 ；q int Indicating indoor heat gain intensityIn the unit of W/m 2 ；C st1 ～C st5 Is an integration constant.
The ideal dynamic data model of the heating system is based on physical parameters, design parameters, actual measurement operation data of the heating system and simulation analysis and calculation of the ideal model, and the heat transfer area abundance coefficients of the heat exchanger and the radiator are obtained, and are respectively 1.4 and 1.35. Substituting the coefficient value into the ideal mathematical model to obtain the actual dynamic mathematical model of the heating system.
The actual dynamic mathematical model of the heating system in the embodiment is composed of 5 dynamic equations and can be used for system characteristic acquisition, dynamic simulation, indoor temperature soft measurement calculation coefficient acquisition, running state analysis, control strategy and energy consumption analysis and the like.
After the actual dynamic mathematical model of the heating system is established, experiments are required on the model to determine its adaptability, stability and accuracy.
An ideal model open loop experiment was first performed: under the condition of designing outdoor temperature, solar radiation, indoor heat obtaining and heat supply network circulation flow are not considered as design parameters, and when the indoor temperature is ensured to be 20 ℃, and the heat source fuel control variable is adjusted to be 0.767, the dynamic response of the ideal dynamic data model open loop test of the heat supply system is shown in figure 3. As shown in FIG. 3, when the system reaches a steady state after running for 6 hours, the temperature of the heat source supply and return water, the temperature of the heat exchange station secondary network supply and return water and the temperature of the user room are respectively 105 ℃, 55 ℃, 65 ℃, 45 ℃ and 20 ℃, and all reach system design parameters, which suggests that the ideal dynamic mathematical model is accurate under the design working condition. In addition, the time required for the heating system operating parameters to reach steady state takes 6 hours due to the heat capacity of the system.
And secondly, performing an actual dynamic data model open loop experiment, adopting the same input parameters as those in the ideal dynamic mathematical model open loop experiment, adjusting the heat source fuel control variable to be 0.793, and showing the dynamic response of the actual dynamic mathematical model of the system in figure 4, wherein the heat source supply and return water temperature, the heat exchange station secondary network supply and return water temperature and the user indoor temperature are respectively 87.5 ℃, 37.5 ℃, 52.5 ℃, 32.4 ℃ and 20 ℃, and all reach system design parameters, thereby suggesting that the actual dynamic mathematical model is accurate under the design working condition. Simulation results show that when the outdoor temperature is designed, the indoor temperature is required to be designed, and the heat source is not required to reach the designed water supply temperature, the main reason is that the heat transfer area of the heat exchange station and the heat radiator has rich coefficients, and the larger the coefficient is, the more the water supply temperature of the heat source is reduced.
S2: respectively obtaining a relation model between the water temperature of the heating system and the outdoor temperature and an indoor temperature calculation model by simulating an actual dynamic mathematical model of the heating system;
in this embodiment, under the condition that solar radiation and indoor heat gain are not considered, a relation model between the water temperature of the heating system and the outdoor temperature is obtained through simulation of an 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;
specifically, since the heat load and the heat supply amount of the heat supply system are mainly related to the outdoor temperature, the corresponding relationship between the water temperature and the outdoor temperature of the heat supply system (without considering the influence of solar radiation and indoor heat) can be obtained through the simulation of the system actual dynamic data model, and the detailed information is shown in table 1.
TABLE 1 corresponding relationship between water temperature and outdoor temperature of heating system
| Outdoor temperature of | 10 | 5 | 0 | -5 | -10 | -15 |
| Primary water supply temperature deg.C | 44.2 | 54.8 | 65.3 | 75.5 | 85.5 | 95.3 |
| Temperature of secondary water supply, DEG C | 32.9 | 37.9 | 42.7 | 47.2 | 51.6 | 55.8 |
| Secondary backwater temperature,. Degree.C | 26.5 | 28.2 | 29.8 | 31.1 | 32.2 | 33.2 |
In this embodiment, the system parameters are input into the actual dynamic mathematical model of the heating system to calculate a calculation coefficient of the indoor temperature calculation model, and the indoor temperature calculation model is established according to the calculation coefficient, wherein the system parameters include indoor heat gain intensity, secondary network circulation flow control variable, solar radiation intensity and outdoor temperature.
The control system simulation conditions of the conventional heating system control strategy dynamic simulation are as follows:
(1) Outdoor temperature range for two consecutive days: 0 to-11 ℃;
(2) Solar radiation intensity range for two consecutive days: 0W/m 2 ～157W/m 2 ；
(3) Indoor heat intensity range for two consecutive days: 3.7W/m 2 ～6.5W/m 2 。
The control algorithm employed is a typical closed-loop PID control algorithm. Because the temperature dynamic change process of the heating system is relatively slow, the differential part in the PID algorithm can be ignored, namely the PID algorithm is simplified into the PI algorithm, and the calculation formula is as follows:
wherein u represents a control variable; k is a radical of p 、k i Proportional and integral constants representing the PI controller; t is a unit of sp 、T msd The control temperature set point and the measured value are expressed in degrees centigrade, respectively.
The conventional control strategy (control strategy 1 for short) of the heating system is as follows: heat source controller (u) f ) The temperature of the heat source water supply is changed by adjusting the fuel control variable; heat exchange station controller (u) 1 ) The temperature of the supplied water of the secondary network is changed by adjusting a primary side electric regulating valve of the heat exchange station; the temperature of the water supplied by the heat source and the temperature set value of the secondary water supplied by the heat exchange station adopt empirical data; controller (u) f And u 1 ) Closed-loop control is adopted; the secondary network circulation flow is the design flow. Under the above simulation conditions, the system dynamic response of the control strategy 1 is shown in fig. 5. As shown in fig. 5 (a), the actual supply water temperature of the heat source and the actual secondary supply water temperature of the heat exchange station can be changed following the change of the outdoor temperature. The average value of the water supply temperature of the secondary network is 11.4 ℃ higher than the average value of the water return temperature of the primary network; the average value of the return water temperature of the primary network is 3.5 ℃ higher than the average value of the return water temperature of the secondary network. Fig. 5 (b) shows the dynamic change of the indoor temperature, the fluctuation range of the indoor temperature (except the influence of 6h before the initial simulation value) and the average value are respectively 20.7-25.8 ℃ and 22.6 ℃, and the fluctuation range is large, so that the thermal comfort of a user is influenced, and meanwhile, the average value also exceeds the set temperature by 2.6 ℃, so that the heat consumption of the system is increased.
Observing the dynamic response of the control strategy 1 (fig. 5), in order to improve the heating quality of the user, two aspects need to be considered: firstly, detecting the indoor temperature of a real-time user in time, and compensating system interference; and secondly, the accuracy of the water supply temperature of the heat source and the set value of the water supply temperature of the secondary network of the heat exchange station is improved. As mentioned above, many reasons affect the accuracy of installing an indoor temperature collector and collecting data indoors, so if the indoor temperature is calculated by combining actual operation data of a heating system and acquired interference data, and is used in a control strategy of the heating system, the control accuracy of the heating system is greatly improved, which is called as an indoor temperature soft measurement technology based on a dynamic mathematical model of the heating system, and the calculation method is as follows:
T z ＝f(u 2 ，q s ，q int ，T o )-----(4)
the indoor temperature soft measurement test data is shown in fig. 7 under different input conditions. The system input parameters are respectively indoor heat intensity (fig. 7 (a)), secondary network flow control variable (fig. 7 (b)), solar radiation intensity (fig. 7 (c)), and outdoor temperature (fig. 7 (d)), and the outputted indoor temperature soft measurement data is shown in fig. 7 (e).
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 may be represented as:
u 2 ＝f 0 +f 1 T o 2 +f 2 q int 2 +f 3 T z 2 +f 4 T o +f 5 q s +f 6 q int +f 7 T z +f 8 T o q int +f 9 T o T z +f 10 q s q int +f 11 T z q int ---(2)
wherein, f 0 ～f 11 To calculate the coefficients; t is z Represents the room temperature in units of; t is o Represents the outdoor temperature in degrees centigrade.
In this example f 0 ～f 11 In sequence-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. Note u 2 In the range of [0,1]。
S3: inputting the outdoor temperature value obtained in real time into a relation model between the water temperature of the heat supply system and the outdoor temperature, calculating to obtain a primary network water supply temperature set value and a secondary network water supply temperature set value of the heat exchange station, and determining a secondary network circulation flow control variable according to the primary network water supply temperature set value, the secondary network water supply temperature set value and a controller algorithm model;
s4: inputting the indoor heat intensity, the solar radiation intensity, the outdoor temperature and the secondary network circulation flow control variable which are acquired in real time into an indoor temperature calculation model to calculate to obtain an indoor temperature soft measurement value;
s5: and determining control parameters of the controller algorithm model according to the set value of the primary network water supply temperature, the set value of the secondary network water supply temperature, the soft measured value of the indoor temperature, the set value of the indoor temperature, the obtained measured value of the primary network water supply temperature and the measured value of the secondary network water supply temperature, and performing compensation control on the heat exchange station by using the control parameters.
In this embodiment, S5 specifically includes: determining a first control parameter of a controller algorithm model based on a primary network water supply temperature set value, a secondary network water supply temperature set value, the obtained measured value of the primary network water supply temperature and the measured value of the secondary network water supply temperature, and performing closed-loop compensation control on the heat exchange station by using the first control parameter;
and determining a secondary network circulation flow control parameter by comparing the indoor temperature soft measurement value with the indoor temperature set value, and performing open-loop compensation control on the heat exchange station by using the secondary network circulation flow control parameter.
Further, in this embodiment, the step of performing closed-loop compensation control on the heat exchange station by using the first control parameter includes:
calculating a first water supply temperature error and a second water supply temperature error according to 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 obtained secondary network water supply temperature measured value;
inputting the first water supply temperature error and the second water supply temperature error into a controller algorithm model to calculate to obtain a fuel control parameter and a primary side electric control valve flow control parameter of the heat exchange station, wherein the first control parameter comprises the fuel control parameter and the primary side electric control valve flow control parameter of the heat exchange station; the fuel control parameter is used for adjusting the fuel control variable of the heat source controller so as to change the water supply temperature of the heat source (namely the water supply temperature of the primary grid), and the flow control parameter of the primary side electric control valve of the heat exchange station is used for adjusting the opening of the primary side electric control valve of the heat exchange station so as to adjust the water supply temperature of the secondary grid in real time.
Specifically, in this embodiment, a heating system control strategy 2 based on an indoor temperature soft measurement technology is adopted, and simulation conditions and a control algorithm of the heating system control strategy are the same as those of the control strategy 1.
In this embodiment, the control policy 2 is: the heat source controller changes the water supply temperature of the heat source by adjusting the fuel control variable; the heat exchange station controller changes the temperature of the water supply of the secondary network by adjusting the primary side electric regulating valve; the set values of the water supply temperature of the heat source and the secondary water supply temperature of the heat exchange station are derived from the simulation data of an actual dynamic model of the heat supply system (see table 1); controller (u) f And u 1 ) Closed-loop control is adopted; the secondary network circulation flow control adopts open loop control, and comprehensive compensation is carried out on system interference based on an indoor temperature soft measurement technology. The heating system dynamic response of control strategy 2 is shown in fig. 6. Comparing fig. 5 (a) and fig. 6 (a), it can be seen that the control strategy 1 has a higher heat source water supply temperature and a higher heat exchange station secondary water supply temperature than the corresponding values of the control strategy 2. Comparing fig. 5 (b) and fig. 6 (b), it can be seen that the dynamic response of the indoor temperature of the control strategy 2 is significantly better than the indoor temperature state of the control strategy 1, the variation range and the average value of the indoor temperature of the control strategy 2 (excluding the influence of the initial simulation value) are respectively 18.6-20.3 ℃ and 19.6 ℃, and the temperature in the indoor can be controlled within the range of 20 ± 0.5 ℃ in most of the time period, which not only can satisfy the heat supply quality of the user, but also can realize the energy saving and consumption reduction of the system.
The dynamic response of control strategies 1 and 2 flow control variables is shown in figure 8. As shown in FIG. 8, the average values of the boiler fuel control variable, the primary network circulation flow control variable, and the 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. Therefore, when the control strategy 2 operation mode is adopted, the heat can be saved by 9.8%, and the power saving of the primary grid and the secondary grid is 63.9% and 80.5% respectively. Therefore, obvious economic benefits can be obtained by the control strategy based on the indoor temperature soft measurement technology.
In summary, in the heat exchange station control method based on the indoor temperature soft measurement technology according to the embodiment of the invention, an ideal dynamic mathematical model of the heat supply system is created by applying the thermodynamic energy conservation law and the mass conservation law, and an actual dynamic mathematical model of the system is obtained through relevant dynamic simulation and data analysis, and is used for heat supply 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 the open loop control of the circulation flow of the heat exchange station secondary network, the heat exchange station control based on the indoor temperature soft measurement technology is combined with the accurate control parameter set value of the heat supply system obtained through a dynamic mathematical model to form a complete heat supply control system (the heat saving quantity of nearly 10 percent and the reduction of the power consumption of over 50 percent can be obtained through dynamic simulation), the requirement of thermal comfort of users can be met, obvious social, economic and ecological benefits can be obtained, and the intelligent heat supply control system is suitable for application and popularization in the intelligent heat supply control system.
On the other hand, referring to fig. 9, an embodiment of the present invention further provides a heat exchange station control system 1 based on an indoor temperature soft measurement technology, including:
the mathematical model creating module 10 is used for performing simulation analysis based on physical parameters, design parameters and actual measurement operation data of the heating system according to a first law of thermodynamics and a law of mass conservation to obtain an actual dynamic mathematical model of the heating system;
the simulation module 20 is used for respectively obtaining a relation model between the water temperature of the heating system and the outdoor temperature and an indoor temperature calculation model by simulating an actual dynamic mathematical model of the heating system;
the determining module 30 is used for inputting the outdoor temperature value acquired in real time into a relation model between the water temperature of the heat supply system and the outdoor temperature, calculating to obtain a primary network water supply temperature set value and a secondary network water supply temperature set value of the heat exchange station, and determining a secondary network circulation flow control variable according to the primary network water supply temperature set value, the secondary network water supply temperature set value and the controller algorithm model;
the indoor temperature acquisition module 40 is used for inputting the indoor heat intensity, the solar radiation intensity, the outdoor temperature and the secondary network circulation flow control variable acquired in real time into the indoor temperature calculation model to calculate and obtain an indoor temperature soft measurement value;
and the compensation control module 50 is used for determining 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 performing compensation control on the heat exchange station by using the control parameters.
The specific details of each module in the heat exchange station control system based on the indoor temperature soft measurement technology are described in detail in the corresponding heat exchange station control method based on the indoor temperature soft measurement technology, and therefore are not described herein again.
In another aspect, an embodiment of the present invention further provides an electronic device, including: the heat exchange station control method comprises a processor and a memory, wherein computer readable instructions are stored on the memory, and when executed by the processor, the heat exchange station control method based on the indoor temperature soft measurement technology is realized.
Specifically, the memory and the processor can be general-purpose memory and processor, which are not limited in particular, and when the processor executes computer readable instructions stored in the memory, the heat exchange station control method based on the indoor temperature soft measurement technology, which is described in the above embodiments, can be executed.
In still another aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the heat exchange station control method based on the indoor temperature soft measurement technology as described in the above embodiment.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, read-only memories (ROMs), random Access Memories (RAMs), magnetic or optical disks, and the like.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. A heat exchange station control method based on an indoor temperature soft measurement technology is characterized by comprising the following steps:
s1: according to a first law of thermodynamics and a mass conservation law, carrying out simulation analysis on the basis of physical parameters, design parameters and actually measured operation data of the heating system to obtain an actual dynamic mathematical model of the heating system;
s2: respectively obtaining a relation model between the water temperature of the heat supply system and the outdoor temperature and an indoor temperature calculation model by simulating the actual dynamic mathematical model of the heat supply system;
s3: inputting the outdoor temperature value obtained in real time into a relation model between the water temperature of the heat supply system and the outdoor temperature to calculate to obtain a primary network water supply temperature set value and a secondary network water supply temperature set value of the heat exchange station, and determining a secondary network circulation flow control variable according to the primary network water supply temperature set value, the secondary network water supply temperature set value and a controller algorithm model;
s4: inputting the indoor heat intensity, the solar radiation intensity, the outdoor temperature and the secondary network circulation flow control variable which are acquired in real time into the indoor temperature calculation model to calculate to obtain an indoor temperature soft measurement value;
s5: and determining control parameters of the controller algorithm model according to the set value of the primary network water supply temperature, the set value of the secondary network water supply temperature, the soft measured value of the indoor temperature, the set value of the indoor temperature, the obtained measured value of the primary network water supply temperature and the measured value of the secondary network water supply temperature, and performing compensation control on the heat exchange station by using the control parameters.
2. The heat exchange station control method based on the indoor temperature soft measurement technology as claimed in claim 1, wherein the S1 includes:
according to a first law of thermodynamics and a mass conservation law, carrying out mathematical description on heat transfer, exchange and storage processes of a control body of the heating system and creating an ideal dynamic mathematical model of the heating system, wherein the control body comprises a heat source boiler, a primary network of a heat exchange station, a secondary network of the heat exchange station, a radiator and indoor air;
performing simulation analysis on the ideal dynamic mathematical model of the heating system by using physical parameters, design parameters and actual measurement operation data of the heating system to obtain a heat transfer area margin coefficient of a heat exchanger and a heat transfer area margin coefficient of a radiator;
and substituting the heat transfer area margin coefficient of the heat exchanger and the heat transfer area margin coefficient of the radiator into the ideal dynamic mathematical model of the heating system to obtain 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, characterized in that the heat transfer, exchange and storage processes of the control body of the heating system are mathematically described as:
wherein: c b 、C x1 、C x2 、C ht 、C a Respectively representing boiler body, primary side of heat exchanger, secondary side of heat exchanger, radiator and room airHeat capacity, in J/deg.C; t represents time, in units s; g fd Indicating the rated fuel flow of the boiler in Nm 3 S; HV represents the lower calorific value of fuel in J/Nm 3 ；η b Represents the boiler efficiency; u. u 2 Representing a secondary network circulation flow control variable; c. C w The specific heat of water is expressed in J/Kg; g 1d 、G 2d Respectively representing the designed circulation flow of the primary/secondary net, and the unit is Kg/s; f. of x 、f ht Respectively representing the heat transfer area abundance coefficients of the heat exchanger and the radiator; u shape x 、U ht 、U e Respectively expressing the comprehensive heat transfer coefficients of the heat exchanger, the radiator and the building envelope, wherein the unit is W/DEG C; LMTD represents the logarithmic mean temperature difference in units of ℃; c ht Representing the coefficient in the heat transfer coefficient test of the radiator; f w Denotes the outer window area in m 2 (ii) a F represents the area of heat supply in m 2 ；q s Representing the intensity of solar radiation in W/m 2 ；q int Represents the indoor heat intensity in W/m 2 ；C st1 ～C st5 Is an integration constant.
4. The heat exchange station control method based on the indoor temperature soft measurement technology as claimed in claim 1, wherein the S2 includes:
under the condition of not considering solar radiation and indoor heat obtaining, a relation model between the water temperature of the heating system and the outdoor temperature is obtained through simulation of an actual dynamic mathematical model of the heating system, wherein the water temperature of the heating system comprises: the temperature of primary network water supply, the temperature of secondary network water supply and the temperature of secondary network return water;
and inputting system parameters into the actual dynamic mathematical model of the heating system to calculate to obtain a calculation coefficient of the indoor temperature calculation model, and establishing the indoor temperature calculation model according to the calculation coefficient, wherein the system parameters comprise indoor heat obtaining intensity, secondary network circulation flow control variable, solar radiation intensity and outdoor temperature.
5. The heat exchange station control method based on the indoor temperature soft measurement technology as claimed in claim 4, wherein the secondary network circulation flow control variable calculated based on the indoor temperature soft measurement can be expressed as:
u 2 ＝f 0 +f 1 T o 2 +f 2 q int 2 +f 3 T z 2 +f 4 T o +f 5 q s +f 6 q int +f 7 T z +f 8 T o q int +f 9 T o T z +f 10 q s q int +f 11 T z q int ---(2)
wherein f is 0 ～f 11 To calculate the coefficients; t is z Represents the room temperature in units of; t is o Represents the outdoor temperature in deg.c.
6. The heat exchange station control method based on the indoor temperature soft measurement technology as claimed in claim 5, wherein the S5 comprises:
determining a first control parameter of the controller algorithm model based on the set value of the primary network water supply temperature, the set value of the secondary network water supply temperature, the obtained measured value of the primary network water supply temperature and the measured value of the secondary network water supply temperature, and performing closed-loop compensation control on the heat exchange station by using the first control parameter;
and determining a secondary network circulation flow control parameter by comparing the indoor temperature soft measurement value with the indoor temperature set value, and performing open-loop compensation control on the heat exchange station by using the secondary network circulation flow control parameter.
7. The heat exchange station control method based on the indoor temperature soft measurement technology as claimed in claim 6, wherein the S5 comprises:
calculating a first water supply temperature error and a second water supply temperature error according to 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 obtained secondary network water supply temperature measured value;
inputting the first water supply temperature error and the second water supply temperature error into the controller algorithm model respectively to be calculated to obtain a fuel control parameter and a heat exchange station primary side electric regulating valve flow control parameter, wherein the first control parameter comprises the fuel control parameter and the heat exchange station primary side electric regulating valve flow control parameter;
and adjusting the fuel control variable of the heat source controller by using the fuel control parameter to change the water supply temperature of the heat source, and adjusting the opening of the primary side electrically-controlled valve of the heat exchange station by using the flow control parameter of the primary side electrically-controlled valve of the heat exchange station to adjust the water supply temperature of the secondary network in real time.
8. A heat exchange station control system based on indoor temperature soft measurement technology is characterized by comprising:
the mathematical model creating module is used for carrying out simulation analysis based on physical parameters, design parameters and actual measurement operation data of the heating system according to a first law of thermodynamics and a law of mass conservation to obtain an actual dynamic mathematical model of the heating system;
the simulation module is used for respectively obtaining a relation model between the water temperature and the outdoor temperature of the heat supply system and an indoor temperature calculation model by simulating the actual dynamic mathematical model of the heat supply system;
the determining module is used for inputting the outdoor temperature value acquired in real time into a relation model between the water temperature of the heat supply system and the outdoor temperature, calculating to obtain a primary network water supply temperature set value and a secondary network water supply temperature set value of the heat exchange station, and determining a secondary network circulation flow control variable according to the primary network water supply temperature set value, the secondary network water supply temperature set value and a controller algorithm model;
the indoor temperature acquisition module is used for inputting the indoor heat intensity, the solar radiation intensity, the outdoor temperature and the secondary network circulation flow control variable which are acquired in real time into the indoor temperature calculation model to calculate and obtain an indoor temperature soft measurement value;
and the compensation control module is used for determining control parameters of the controller algorithm model according to the set value of the primary network water supply temperature, the set value of the secondary network water supply temperature, the soft indoor temperature measurement value, the set value of the indoor temperature, the obtained measured value of the primary network water supply temperature and the measured value of the secondary network water supply temperature, and performing compensation control on the heat exchange station by using the control parameters.
9. An electronic device, comprising: a processor and a memory, the memory having stored thereon computer readable instructions, which when executed by the processor, implement a heat exchange station control method based on indoor temperature soft measurement technique according to any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a heat exchange station control method according to any one of claims 1 to 7, based on an indoor temperature soft measurement technique.
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