A method and system for heat regulation

Abstract

The present application relates to a kind of heat regulation method and system, belong to wisdom heat supply technical field.The existing regulation method is too much dependent on design value, and the problem of energy waste caused by large system energy consumption is solved.A kind of heat regulation method, including obtaining heat exchange station historical operation data and user side historical operation data, data cleaning is carried out, and sample database is established;According to sample database, differential pressure calculation model is established, and differential pressure calculation model is used to represent the corresponding relationship between user actual supply and return water pressure difference and outdoor temperature;Determine the most disadvantaged user, calculate the most disadvantaged user actual supply and return water pressure difference based on differential pressure calculation model, according to the most disadvantaged user actual supply and return water pressure difference and the most disadvantaged user set supply and return water pressure difference, adjust water pump variable frequency operation;According to sample database, machine learning algorithm is applied, and water supply temperature calculation model is established, and secondary side water supply temperature is adjusted.The method of the present application does not depend on design value, does not carry out constant flow operation, gives water pump variable frequency basis, and reduces system energy consumption.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent heating, in particular to a heating regulation method and system. BACKGROUND

[0002] The existing heating regulation technology of heat exchange stations relies too much on design values. When the heating system is designed, the designers often take large values for the design heat index, water supply temperature, and circulation flow rate in order to ensure sufficient heating of the system. In some actual systems, the design heat load is even more than 50% of the actual load. In this case, if the operation of the heating system is adjusted based on the design values, it will cause a huge waste of energy. The operation energy consumption of the heating system is high, and the operation cost of the heat company is high. In this case, some heat companies still use manual experience regulation even if the heat exchange station is equipped with an automatic control system. The operation and maintenance personnel judge the water pump frequency and water supply temperature according to the weather forecast, so that the heat exchange station is unattended for the heat company, the system becomes an invalid investment, and the labor cost cannot be reduced.

[0003] For users, in recent years, with the improvement of heating metering laws and regulations, most of the centralized heating communities have completed the heating metering transformation, and users can independently adjust the indoor temperature. However, due to the manual regulation or quality regulation of the heating system, the optimal water supply temperature and operation flow rate of the system cannot be calculated in time according to the feedback of the user end, and the heating regulation system does not have the ability of self-learning.

[0004] Therefore, there is an urgent need for an automatic heating system and regulation method to solve the problem of excessive dependence on design values and high energy consumption of the existing heating system regulation method and system. SUMMARY

[0005] In view of the above analysis, the embodiments of the present application aim to provide a heating regulation method and system to solve the problem of excessive dependence on design values of the existing heating system regulation method and high energy consumption of the heating system causing energy waste.

[0006] In one aspect, the embodiments of the present application provide a heating regulation method, comprising:

[0007] Obtaining historical operation data of a heat exchange station and user side historical operation data, performing data cleaning, and establishing a sample database;

[0008] According to the sample database, a pressure difference calculation model is established, and the pressure difference calculation model is used to represent the corresponding relationship between the actual supply and return water pressure difference of the user and the outdoor temperature;

[0009] determining the most disadvantaged user, calculating the actual supply and return water pressure difference of the most disadvantaged user based on the pressure difference calculation model, and adjusting the variable frequency operation of the circulating water pump according to the actual supply and return water pressure difference of the most disadvantaged user and the set supply and return water pressure difference of the most disadvantaged user;

[0010] According to the sample database, a machine learning algorithm is applied to establish a water supply temperature calculation model to adjust the secondary side water supply temperature.

[0011] Further, the historical operation data of the heat exchange station includes the primary side water supply temperature, the primary side water supply pressure, the secondary side water supply temperature, the secondary side water supply pressure, the primary side return water temperature, the primary side return water pressure, the secondary side return water temperature, the secondary side return water pressure, the secondary side circulating flow, the heat consumption of the heat exchange station, and the outdoor temperature.

[0012] The user side historical operation data includes the indoor temperature of the user and the heating area.

[0013] Further, the establishment of the pressure difference calculation model according to the sample database includes:

[0014] The k-means clustering method is adopted, the number of flow clusters is input, the flow stages existing in the operation of the heat exchange station are counted, and the secondary side circulating flow data and the outdoor temperature in the same stage are matched to count the outdoor temperature intervals corresponding to different secondary side circulating flows, the circulating flow per 10,000 square meters of the heat exchange station is counted, and the pressure difference calculation model is established.

[0015] Further, the determination of the most disadvantaged user includes: determining the initial most disadvantaged user, and updating the most disadvantaged user after adjusting the variable frequency operation of the circulating water pump once.

[0016] Further, the set supply and return water pressure difference of the most disadvantaged user is calculated by the following steps:

[0017] The most disadvantaged user impedance is obtained;

[0018] According to the most disadvantaged user impedance, the set supply and return water pressure difference of the most disadvantaged user is calculated by the following formula:

[0019] ΔP=S*Gc 2

[0020] Wherein: S, the most disadvantaged user impedance;

[0021] G c , the most disadvantaged user running flow design value, t / h;

[0022] ΔP, the set supply and return water pressure difference of the most disadvantaged user, kPa;

[0023] Wherein, the most disadvantaged user running flow design value G cThe product of the statistical heat exchange station million square meter circulating flow and the heating area of the most unfavorable user building under the corresponding outdoor temperature condition is:

[0024] Gc=L*M

[0025] Wherein: M, the heating area of the building, unit: m 2 ;

[0026] L, million square meter circulating flow, unit: (t / h) / (million ㎡).

[0027] Further, the most unfavorable user impedance is calculated by collecting the actual operating flow and supply and return water pressure of the most unfavorable user:

[0028]

[0029] Wherein: S, the most unfavorable user impedance;

[0030] P g , the actual water supply pressure of the most unfavorable user, kPa;

[0031] P h , the actual return water pressure of the most unfavorable user, kPa;

[0032] G, the actual operating flow of the most unfavorable user, t / h.

[0033] Further, the regulation of the variable frequency operation of the circulating water pump comprises:

[0034] If the actual supply and return water pressure difference of the most unfavorable user is less than the set supply and return water pressure difference of the most unfavorable user, the pump frequency is increased; if the actual supply and return water pressure difference of the most unfavorable user is greater than the set supply and return water pressure difference of the most unfavorable user, the pump frequency is reduced.

[0035] Further, the updating of the most unfavorable user comprises: after the balance adjustment of the heating control system is completed, collecting the opening degree of the electric valve on the return water pipe of all buildings, and re-determining the user with the largest valve opening degree as the most unfavorable user.

[0036] Further, according to the sample database, a machine learning algorithm is applied to establish a water supply temperature calculation model, and the adjustment of the secondary side water supply temperature comprises:

[0037] During the operation of the system, the user room temperature, outdoor temperature and secondary side circulating flow are continuously monitored, the weighted indoor temperature is calculated according to the user room temperature, if the weighted indoor temperature deviates from the set value of the weighted indoor temperature, the weighted indoor temperature is corrected, the weighted indoor temperature is re-set, the water supply temperature calculation model is called, and the secondary side water supply temperature is adjusted;

[0038] The water supply temperature calculation model is:

[0039] t g = f(t n , t w , G z )

[0040] t g : secondary side water supply temperature, ℃,

[0041] t n : weighted indoor temperature, ℃,

[0042] t w : outdoor temperature, ℃,

[0043] G z : secondary side circulation flow, t / h;

[0044] wherein the weighted indoor temperature calculation formula is:

[0045] t ni : indoor temperature of each user, from the user room temperature in the heat metering system, ℃,

[0046] i: user number,

[0047] S i : user heat consumption area, m 2 ;

[0048] In another aspect, the present application provides a data analysis-based heating regulation system, comprising a host system and an edge control terminal.

[0049] The host system comprises a sample data processing module, a data calculation module, a heating setting module and a regulation tracking module.

[0050] The edge control terminal comprises a heat exchange station edge controller and a floor edge controller.

[0051] The sample data processing module is used to obtain heat exchange station historical operation data and user side historical operation data, and to perform data cleaning on the obtained data to obtain processed sample data.

[0052] The data calculation module uses the processed sample data of the sample data processing module to perform automatic statistics and calculation to obtain a differential pressure calculation model and a water supply temperature calculation model.

[0053] The differential pressure calculation model is used to represent the corresponding relationship between the actual supply and return water differential pressure of the most disadvantaged user and the outdoor temperature, and to provide a basis for setting the actual supply and return water differential pressure of the most disadvantaged user.

[0054] The heating calculation model is used to provide a basis for calculating the secondary side water supply temperature under the conditions of the actual outdoor temperature and the actual weighted indoor temperature.

[0055] Compared with the prior art, the present application can achieve at least one of the following beneficial effects:

[0056] 1. In the frequency conversion operation regulation of the circulating water pump, the design parameters are no longer relied on, but the differential pressure calculation model and the heat supply calculation model of the heat supply regulation system are constructed according to the historical operation data of the heat exchange station and the historical operation data of the user side, the actual operation parameters (such as the secondary side water supply temperature, the secondary side water supply pressure, the secondary side return water temperature, the secondary side return water pressure, the secondary side circulating flow, the heat consumption of the heat exchange station, the user room temperature) of the heat supply regulation system are obtained, and the heat exchange station regulation parameters (the most unfavorable user set supply and return water pressure difference ΔP and the secondary side water supply temperature) are automatically updated, so as to meet the demand of automatic operation of the system. In addition, the flow variation range of the heat supply regulation system is judged according to the actual operation parameters of the heat supply regulation system, and the fixed flow operation is no longer performed, so as to reduce the energy consumption of the heat supply system.

[0057] 2. The present application gives the basis for determining the frequency conversion of the circulating water pump, proposes a calculation method of the most unfavorable user set supply and return water pressure difference in the actual operation, and guides the frequency conversion operation of the circulating water pump. Meanwhile, after the system balance regulation is completed, that is, the actual weighted room temperature of the building is equal to the set weighted room temperature, the most unfavorable user is updated according to the valve opening degree, a strategy of updating the most unfavorable user is proposed, on the basis of guaranteeing the hydraulic balance, the frequency of the circulating water pump is readjusted, so that the system is in the state of minimum resistance, and the electric energy consumption can be reduced.

[0058] 3. The present application proposes a method for calculating the secondary side water supply temperature of the heat exchange station based on the actual operation parameters (such as the weighted room temperature, the outdoor temperature, the secondary side circulating flow) of the heat supply regulation system, discards the design value, is most suitable for the actual heat supply system, improves the heat supply energy efficiency of the system, proposes the concept of thermal inertia period, provides a basis for the regulation period of the heat supply system, simultaneously monitors the user room temperature in real time, adjusts the operation parameters according to the user feedback, realizes the compatibility of active regulation and passive regulation, and meets the demands of the heat company and the user.

[0059] In the present application, the above technical solutions can be combined with each other to realize more preferred combination schemes. Other features and advantages of the present application will be described in the subsequent specification, and some advantages will become apparent from the specification, or will be understood by implementing the present application. The purposes and other advantages of the present application can be realized and obtained from the contents particularly pointed out in the specification and the drawings. BRIEF DESCRIPTION OF DRAWINGS

[0060] The accompanying drawings are included to provide a further understanding of the application, and are incorporated herein and constitute a part of the detailed description. The drawings illustrate embodiments of the application and, together with the description, serve to explain the principles of the application. In the drawings:

[0061] Figure 1Flow chart of heat supply regulation method of the present application;

[0062] Figure 2 Composition architecture diagram of heat supply regulation system of the present application;

[0063] Figure 3 Flow distribution diagram of heat exchange station operation of the heat supply regulation method of the present application;

[0064] Figure 4 Schematic diagram of frequency conversion regulation of circulating water pump in the heat supply regulation method of the present application;

[0065] Figure 5 PID control schematic diagram of circulating water pump in the heat supply regulation method of the present application. DETAILED DESCRIPTION

[0066] The preferred embodiments of the present application will be described in detail below with reference to the accompanying drawings, wherein the accompanying drawings form a part of the present application and are used to explain the principles of the present application together with the embodiments of the present application, but are not used to limit the scope of the present application.

[0067] The present application provides a heat supply regulation method, comprising:

[0068] Obtaining historical operation data of a heat exchange station and historical operation data of a user side, performing data cleaning, and establishing a sample database;

[0069] According to the sample database, a differential pressure calculation model is established, and the differential pressure calculation model is used to represent the corresponding relationship between the actual supply and return water pressure difference of a user and outdoor temperature;

[0070] Determining the most unfavorable user, calculating the actual supply and return water pressure difference of the most unfavorable user based on the differential pressure calculation model, and adjusting the frequency conversion operation of the circulating water pump according to the actual supply and return water pressure difference of the most unfavorable user and the set supply and return water pressure difference of the most unfavorable user.

[0071] According to the sample database, a water supply temperature calculation model is established by applying a machine learning algorithm, and the secondary side water supply temperature is adjusted.

[0072] In the existing heat exchange station water pump control system, there are usually two ways for pump frequency conversion strategy. One is to fix a certain end user as the most disadvantaged user, and to take the design condition as the basis to meet the heat supply demand of the user to adjust the water pump frequency conversion. The second way is to take the heat exchange station water supply and return water pressure difference under the design condition to meet the system heat supply demand as the control target to adjust the water pump frequency conversion. For the variable flow system in the heat supply system, the system is only in the design condition when the outdoor temperature is lower than or close to the outdoor design temperature. The heat supply of the system is lower than the design value most of the time, and the system operating flow is also lower than the design flow. With the change of the system flow, the pressure difference of the system will also change. If the constant pressure difference control is still used for pump frequency conversion, the pump will always run at the maximum frequency, causing waste of electric energy. In addition, in the temperature regulation system of the heat exchange station, the quality regulation is mainly used, and the calculation parameters in the temperature supply curve are designed. The operating parameters in the heat exchange station are actively adjusted according to the weather temperature. When calculating the heat exchange station water supply temperature, the design value is usually large, and the water supply temperature calculated according to the existing general formula is usually large, which wastes heat energy. Moreover, with the increase of the system running time, the parameters of the pipe network change, and the deviation from the original design value becomes larger and larger. If the design value is still used to guide the operation at this time, the deviation from the actual working condition will be caused, the matching with the user heat demand cannot be realized, and the user complaint rate is high in the heating season.

[0073] Compared with the prior art, the heat exchange station circulating flow stage is determined according to the historical operation data of the heat exchange station, the most disadvantaged user is determined according to the different circulating flow stages of the heat exchange station, the set supply and return water pressure difference of the most disadvantaged user is calculated, and the circulating water pump frequency conversion operation is adjusted according to the actual supply and return water pressure difference of the most disadvantaged user and the set supply and return water pressure difference of the most disadvantaged user. In this way, the design parameters are no longer relied on in the circulating water pump frequency conversion operation regulation, but the pressure difference calculation model and the heat supply calculation model of the heat supply regulation system are constructed according to the historical operation data of the heat exchange station and the historical operation data of the user side, the actual operation parameters (such as secondary side water supply temperature, secondary side water supply pressure, secondary side return water temperature, secondary side return water pressure, secondary side circulating flow, heat exchange station heat consumption, user room temperature) of the heat supply regulation system are obtained, and the heat exchange station regulation parameters (the set supply and return water pressure difference ΔP of the most disadvantaged user and the secondary side water supply temperature) are automatically updated to meet the demand of automatic operation of the system. In addition, the flow change range of the heat supply regulation system is judged according to the actual operation parameters of the heat supply regulation system, and the constant flow operation is no longer performed, so as to reduce the energy consumption of the heat supply system.

[0074] It should be noted that the circulating flow stage of the heat exchange station refers to the corresponding station secondary side circulating flow under different outdoor temperature ranges.

[0075] Specifically, historical operating data includes the primary side supply water temperature, primary side supply water pressure, secondary side supply water temperature, secondary side supply water pressure, primary side return water temperature, primary side return water pressure, secondary side return water temperature, secondary side return water pressure, secondary side circulation flow rate, heat consumption of the heat exchange station, and outdoor temperature. User-side historical operating data includes user indoor temperature and heating area. Over many years of operation, the heat exchange station has accumulated a large amount of historical operating data. This data can be obtained from the heat exchange station's PLC (Programmable Logic Controller). Based on the historical operating data of the heat exchange station and the user side, a pressure difference calculation model and a heating calculation model for the heating control system are constructed. This yields the actual operating parameters of the heating control system (such as secondary side supply water temperature, secondary side supply water pressure, secondary side return water temperature, secondary side return water pressure, secondary side circulation flow rate, heat consumption of the heat exchange station, and user room temperature), and automatically updates the heat exchange station control parameters (setting the supply and return water pressure difference ΔP and secondary side supply water temperature for the most unfavorable user), meeting the needs of automatic system operation.

[0076] Specifically, this invention uses the k-means clustering method, inputs the number of flow clusters, counts the flow stages that exist in the operation of the heat exchange station, and matches the secondary side circulation flow data and outdoor temperature under the same stage to count the outdoor temperature range corresponding to different secondary side circulation flow rates. It also counts the circulation flow rate per 10,000 square meters of the heat exchange station and establishes a pressure difference calculation model. The pressure difference calculation model is used to represent the correspondence between the actual supply and return water pressure difference of the user and the outdoor temperature.

[0077] For example, taking a heat exchange station as an example, the circulating flow rate per 10,000 square meters of the heat exchange station is calculated, such as... Figure 3 As shown in the figure, the horizontal axis represents the outdoor temperature, and the vertical axis represents the secondary circulation flow rate. The scatter plots represent the specific values ​​of the secondary circulation flow rate. The figure shows a certain correlation between the secondary circulation flow rate and the outdoor temperature. This invention uses a clustering method to statistically analyze the flow rate stages present during the operation of the heat exchange station. The secondary circulation flow rate can be divided into six stages: 17–18 (t / h) / (10,000 m²), 18–19 (t / h) / (10,000 m²), 19–19.75 (t / h) / (10,000 m²), 19.75–20.25 (t / h) / (10,000 m²), 20.25–21 (t / h) / (10,000 m²), and 21–21.5 (t / h) / (10,000 m²). The 21–21.5 (t / h) / (10,000 m²) flow rate stage occurs less frequently and can be manually ignored. The other five flow rate stages are used as the commonly used flow rates for heat exchange station regulation to guide the subsequent variable frequency operation of the water pumps.

[0078] The different flow stages of the heat exchange station are obtained through statistical analysis of historical operation data of the heat exchange station and historical operation data of the user side. Some flow stages correspond to an outdoor temperature interval that is crossed. The present application takes the outdoor temperature as a reference. For the same outdoor temperature, the lowest secondary side circulation flow corresponding to the temperature is taken. By statistically analyzing the outdoor temperature limits corresponding to different secondary side circulation flows, a differential pressure calculation model is established. The differential pressure calculation model is used to represent the corresponding relationship between the actual supply and return water pressure difference of the user and the outdoor temperature, and to guide the frequency conversion of the circulating water pump.

[0079] Specifically, determining the most disadvantaged user includes determining the primary most disadvantaged user, and updating the most disadvantaged user after the primary adjustment of the circulating water pump frequency conversion operation.

[0080] It should be noted that when the most disadvantaged user is initially determined, the minimum unit area circulation flow of the building can be calculated according to the circulation flow of the heat meter installed at the building heat inlet to determine the most disadvantaged user for the primary adjustment; or the minimum unit area circulation flow of the building can be calculated according to the measured value to determine the most disadvantaged user for the primary adjustment.

[0081] Specifically, when the most disadvantaged user is initially determined, for the heating system that has implemented heat metering reconstruction, a heat meter is installed at the heat inlet of each building, the circulation flow of the building can be read, the unit area circulation flow of each building can be calculated, and the building with the smallest calculated value is defined as the most disadvantaged user for the primary adjustment.

[0082] Specifically, when the most disadvantaged user is initially determined, for the heating system that has not implemented heat metering reconstruction, a building can be initially determined as the most disadvantaged user according to the experience of the operation and maintenance personnel, or the circulation flow of each building can be measured manually during the system trial operation stage to calculate the unit area circulation flow and determine the most disadvantaged user.

[0083] After the most disadvantaged user is determined, the set supply and return water pressure difference of the most disadvantaged user is calculated: the actual operation flow and the supply and return water pressure of the most disadvantaged user are collected, and the impedance value S of the most disadvantaged user is calculated.

[0084]

[0085] Wherein: S, impedance of the most disadvantaged user;

[0086] P g actual supply water pressure of the most disadvantaged user, kPa;

[0087] P h actual return water pressure of the most disadvantaged user, kPa;

[0088] G, actual operation flow of the most disadvantaged user, t / h.

[0089] According to the calculated most unfavorable user impedance, the most unfavorable user set supply and return water pressure difference ΔP is calculated:

[0090] ΔP = S * Gc 2

[0091] Wherein: S, the most unfavorable user impedance;

[0092] G c , the most unfavorable user operating flow design value, t / h;

[0093] ΔP, the most unfavorable user set supply and return water pressure difference, kPa.

[0094] Wherein, the most unfavorable user operating flow design value G c is the product of the circulation flow per ten thousand square meters of the heat exchange station and the heating area of the most unfavorable user building under the corresponding outdoor temperature condition, that is:

[0095] Gc = L * M

[0096] Wherein: M, the heating area of the building, unit m 2 ;

[0097] L, the circulation flow per ten thousand square meters, unit (t / h) / (ten thousand m2).

[0098] According to the monitored outdoor temperature, the actual supply and return water pressure difference of the most unfavorable user is calculated based on the pressure difference calculation model, and the frequency of the circulating water pump is adjusted according to the actual supply and return water pressure difference of the most unfavorable user and the most unfavorable user set supply and return water pressure difference ΔP, that is, the actual supply and return water pressure difference of the most unfavorable user is compared with the most unfavorable user set supply and return water pressure difference ΔP, and the frequency of the circulating water pump is increased or decreased according to the size relationship between the two.

[0099] Specifically, if the actual supply and return water pressure difference is less than ΔP, the frequency of the circulating water pump is increased; if the actual supply and return water pressure difference is greater than ΔP, the frequency of the circulating water pump is reduced.

[0100] The above circulating water pump frequency control can adopt PID control, which means that the most unfavorable user set supply and return water pressure difference ΔP is taken as the control quantity, the frequency converter is taken as the controller, the water pump is taken as the execution mechanism, and the heating pipe network is taken as the controlled variable. By constantly comparing the most unfavorable user set supply and return water pressure difference ΔP with the actual supply and return water pressure difference, the difference between the actual supply and return water pressure difference and the most unfavorable user set supply and return water pressure difference ΔP is input into the PID controller, and the PID control calculates the frequency of the water pump through the PID algorithm until the actual supply and return water pressure difference of the most unfavorable user meets the set requirements of the heating control system, that is, the actual supply and return water pressure difference of the most unfavorable user is equal to the most unfavorable user set supply and return water pressure difference ΔP, wherein the actual supply and return water pressure difference of the most unfavorable user is collected by the pressure / difference sensor.

[0101] When updating the most disadvantaged user, the most disadvantaged user is updated according to the maximum value of the opening degree of the electric valve on the return water pipe in all buildings within the scope of the heat supply regulation system. The opening degree of the electric valve on the return water pipe in all buildings within the scope of the heat supply regulation system is collected in real time, and the building with the maximum valve opening degree is determined as the newly determined most disadvantaged user.

[0102] Specifically, after the heat supply system balance adjustment is completed, that is, after the actual weighted room temperature of the building is equal to the set weighted room temperature, the opening degree of the electric valve on the return water pipe of all buildings is collected, the user with the maximum valve opening degree is determined as the most disadvantaged user again, and the pressure difference of the user is calculated as the new most disadvantaged user set pressure difference. The calculation method of the most disadvantaged user set pressure difference is the same as the calculation method of the initial most disadvantaged user set pressure difference.

[0103] The actual supply and return water pressure difference of the newly determined most disadvantaged user is compared with the set supply and return water pressure difference ΔP, and the water pump frequency is increased or decreased according to the size relationship between the two to meet the set requirement that the actual supply and return water pressure difference of the most disadvantaged user is equal to the set supply and return water pressure difference ΔP. Specifically, if the actual supply and return water pressure difference of the updated most disadvantaged user does not meet the set requirement, the actual supply and return water pressure difference of the most disadvantaged user is less than the most disadvantaged user set supply and return water pressure difference ΔP, the water pump frequency is increased; the actual supply and return water pressure difference of the most disadvantaged user is greater than the most disadvantaged user set supply and return water pressure difference ΔP, the water pump frequency is decreased.

[0104] If the updated most disadvantaged user pressure difference meets the set requirement, but the valve opening degree is less than 90%, the water pump frequency is reduced until the valve opening degree reaches the threshold range of 90% to 100%; if the updated most disadvantaged user pressure difference meets the set requirement, and the valve opening degree reaches the threshold range of 90% to 100%, the water pump frequency remains unchanged. The valve opening degree of the most disadvantaged user is greater than 90%, which can make the total resistance of the heat supply regulation system minimum under the premise of maintaining balance, the energy consumption of the circulating water pump minimum, and the power consumption of the system reduced, thereby achieving energy saving and emission reduction.

[0105] Specifically, according to the sample database, a water supply temperature calculation model is established by applying a machine learning algorithm, and the secondary side water supply temperature is adjusted by the following steps:

[0106] During the operation of the system, the user room temperature, outdoor temperature and secondary side circulating flow are continuously monitored, the weighted indoor temperature is calculated according to the user room temperature, and if the weighted indoor temperature deviates from the set weighted indoor temperature, the weighted indoor temperature is corrected, the weighted indoor temperature is reset, the water supply temperature model is called, and the secondary side water supply temperature is adjusted.

[0107] The heat exchange station historical operation data and user side historical operation data are analyzed to form sample data, and a machine learning algorithm is applied to obtain a supply temperature curve under a corresponding flow stage, thereby providing a basis for calculating the secondary side water supply temperature under the conditions of the actual outdoor temperature and the actual weighted indoor temperature.

[0108] The application machine learning algorithm obtains the supply temperature curve, which means that the secondary side circulating flow, the weighted indoor temperature and the outdoor temperature are taken as independent variables, and the secondary side water supply temperature is taken as a dependent variable to input a support vector machine regression algorithm, and an SVR model related to the secondary side water supply temperature, the indoor temperature, the outdoor temperature and the secondary side circulating flow is trained through data, and the SVR is a water supply temperature calculation model.

[0109] t g =f(t n ,t w ,G z )

[0110] t g : the secondary side water supply temperature, ℃;

[0111] t n : the weighted indoor temperature, ℃;

[0112] t w : the outdoor temperature, ℃;

[0113] G z : the secondary side circulating flow, t / h.

[0114] The weighted indoor temperature calculation formula is as follows:

[0115] t ni : the indoor temperature of each user, from the user room temperature in the heat metering system, ℃;

[0116] i: the user number;

[0117] S i : the user heat consumption area, m 2 .

[0118] During the operation of the system, the outdoor temperature t w and the weighted indoor temperature t nThe outdoor temperature is obtained from the weather forecast, and the secondary side circulation flow and the secondary side water supply temperature at each time of the day are calculated each time the weather forecast is updated. If the difference between the calculated secondary side water supply temperature and the secondary side water supply temperature at the previous time is less than 1 DEG C, the secondary side water supply temperature is not adjusted; if the difference between the calculated secondary side water supply temperature and the secondary side water supply temperature at the previous time is greater than or equal to 1 DEG C, the actual secondary side water supply temperature is adjusted to the calculated secondary side water supply temperature. The delivery of the control target parameters (the secondary side water supply temperature and the difference between the actual supply and return water pressure difference of the most disadvantaged user and the set supply and return water pressure difference ΔP of the most disadvantaged user) is delivered in advance of a thermal inertia period of the system, the heating control system automatically monitors the weather forecast in the next 72 hours, and the control target parameters in the next 72 hours are automatically calculated by the method of steps S2 and S3, which can realize the advance delivery.

[0119] Specifically, the thermal inertia period refers to the time interval for the average temperature region of the secondary side water supply temperature and the secondary side return water temperature in the heat exchange station to stabilize after the secondary side water supply temperature in the heat exchange station changes; the secondary side water supply temperature and the secondary side return water temperature of the heat exchange station are collected every 10 minutes, the first collected secondary side water supply temperature is recorded as T1, the secondary side return water temperature is recorded as T2, the second collected secondary side water supply temperature is recorded as T3, and the secondary side return water temperature is recorded as T4; if the difference between the average temperature of the first collected secondary side supply and return water temperature (T1+T2) / 2 and the average temperature of the second collected secondary side supply and return water temperature (T3+T4) / 2 is less than 0.1 DEG C, the average temperature region of the secondary side water supply temperature and the secondary side return water temperature in the heat exchange station is stable.

[0120] The user room temperature is continuously monitored, and if the weighted room temperature deviates from the set value (set value-weighted room temperature=n DEG C), the weighted room temperature parameter in the water supply temperature calculation model is changed to t n ±n DEG C, the secondary side water supply temperature is recalculated, and the value is delivered to the edge controller in the heat exchange station. The set value of the weighted room temperature is artificially specified based on meeting the national standard GB50019-2003 "Heating Ventilation and Air Conditioning Design Specification" and considering personnel comfort, and the weighted room temperature set value is generally 18-24 DEG C.

[0121] In the application, the basis for determining the frequency conversion of the circulating water pump is given, the calculation method of the pressure difference setting of the most unfavorable user supply and return water in actual operation is proposed, and the frequency conversion operation of the circulating water pump is guided; at the same time, after the balance adjustment of the heating regulation system is completed, that is, the actual weighted room temperature of the building is equal to the set weighted room temperature, the most unfavorable user is updated based on the valve opening, the strategy of updating the most unfavorable user is proposed, on the basis of ensuring the hydraulic balance, the frequency of the circulating water pump is adjusted again, so that the heating regulation system is in the state of minimum resistance, and the power consumption can be reduced. At the same time, the calculation method of the secondary side water supply temperature of the heat exchange station based on the actual operation parameters of the heating regulation system is proposed, the design value is abandoned, and the actual heating regulation system is most suitable, and the heating energy efficiency of the heating regulation system is improved. The problem of over-reliance on design value in the existing heating system regulation method and large heating system energy consumption causing energy waste is solved.

[0122] The heating operation regulation of the application no longer depends on the design parameters, but constructs the pressure difference calculation model and the heating calculation model of the heating regulation system according to the historical operation data of the heat exchange station and the historical operation data of the user side, obtains the actual operation parameters (such as the secondary side water supply temperature, the secondary side water supply pressure, the secondary side return water temperature, the secondary side return water pressure, the secondary side circulating flow, the heat consumption of the heat exchange station, and the user room temperature) of the heating regulation system, and automatically updates the regulation parameters (the most unfavorable user set supply and return water pressure difference ΔP and the secondary side water supply temperature) of the heat exchange station, meets the demand of automatic operation of the system, is most suitable for the actual heating regulation system, and improves the heating energy efficiency of the system; the actual operation parameters of the system are used as the basis to judge the change range of the secondary side circulating flow of the system, and the fixed flow operation is no longer performed, so that the system energy consumption is reduced; the concept of thermal inertia period is proposed, which provides a basis for the regulation period of the heating regulation system, and the user room temperature is monitored in real time, the operation parameters are adjusted according to the user feedback, the compatibility of active regulation and passive regulation is realized, and the demands of the heat company and the user are met.

[0123] The application also provides a heating regulation system for realizing the heating regulation method, comprising an upper system and an edge control terminal.

[0124] Specifically, the upper system comprises a sample data processing module, a data calculation module, a heating setting module and a regulation tracking module.

[0125] The sample data processing module is used for acquiring the historical operation data of the heat exchange station and the historical operation data of the user side, and performing data cleaning on the acquired data to obtain processed sample data. The data cleaning refers to eliminating abnormal and unreasonable data, and finally forming data supporting data calculation after data cleaning.

[0126] The historical operation data of the heat exchange station include primary side water supply temperature, primary side water supply pressure, secondary side water supply temperature, secondary side water supply pressure, primary side return water temperature, primary side return water pressure, secondary side return water temperature, secondary side return water pressure, secondary side circulation flow, heat consumption of the heat exchange station, and outdoor temperature. The historical operation data of the user side include indoor temperature and heating area.

[0127] The data calculation module performs automatic statistics and calculation on the sample data processed by the sample data processing module to obtain a pressure difference calculation model and a water supply temperature calculation model. As described above, the pressure difference calculation model is obtained by k-means clustering method; and the water supply temperature calculation model is constructed by machine learning algorithm.

[0128] The pressure difference calculation model is used to represent the corresponding relationship between the actual supply-return water pressure difference of the most disadvantaged user and the outdoor temperature, and to provide a basis for setting the actual supply-return water pressure difference of the most disadvantaged user. During operation, the outdoor temperature is obtained by the meteorological monitoring module, and the corresponding actual supply-return water pressure difference of the most disadvantaged user under the outdoor temperature is provided based on the pressure difference calculation model. The circulation water pump frequency is adjusted according to the actual supply-return water pressure difference of the most disadvantaged user and the set supply-return water pressure difference ΔP of the most disadvantaged user, i.e., the circulation water pump frequency is increased or decreased according to the size relationship between the actual supply-return water pressure difference of the most disadvantaged user and the set supply-return water pressure difference ΔP of the most disadvantaged user, thereby guiding the frequency adjustment of the circulation water pump.

[0129] The heat supply calculation model is used to provide a basis for calculating the actual secondary side water supply flow and the secondary side water supply temperature under the actual indoor and outdoor temperature conditions.

[0130] The heat supply setting module includes a heat supply management platform. The heat supply management platform is the central platform of the heat supply control system. On the one hand, since the safe operation limits of each heat station are different, the heat supply management platform supports setting of high and low temperature, high and low pressure, water pump frequency upper and lower limits, and other safety values. The system calculates the operation value to be limited within the safety limit range, so that the setting of the safe operation limit of the heat exchange station can be realized. On the other hand, the data calculation module, the edge control terminal, and the control tracking module all follow the MQTT standard protocol for network communication interaction between the heat supply management platform.

[0131] The control tracking module includes a heat supply system operation monitoring module, a meteorological monitoring module, and a room temperature monitoring module.

[0132] The heat supply system operation monitoring module is used for monitoring the operation parameters of the heat exchange station, determining whether the operation parameters deviate from the set values, and adjusting in time if deviation occurs. The meteorological monitoring module is used for monitoring the outdoor temperature; the room temperature monitoring module is used for monitoring the user room temperature. The monitored operation parameters of the heat exchange station, outdoor temperature and user room temperature are fed back to the sample data processing module, and the data processing is automatically updated. At the same time, the regulation and control tracking module and the heat supply management platform and the edge control terminal follow the MQTT standard protocol for network communication interaction. In addition, this module also supports users to temporarily manually specify operation parameters according to actual operation requirements, and has the functions of operation data monitoring and temporary operation adjustment.

[0133] Specifically, the edge control terminal includes a heat exchange station edge controller and a floor edge controller. The edge control terminal follows the MQTT standard protocol to perform network communication interaction with the heat supply management platform and the regulation and control tracking module.

[0134] The heat exchange station edge controller is suitable for special application scenarios of the heat exchange station. First, the heat exchange station edge controller has an rj45 port connected with the automatic control system, supports the configuration of modbus tcp, modbus rtu and simens S7 communication protocols, and is convenient for quickly accessing terminal data points. After the heat exchange station edge controller accesses the heat supply management platform, it collects and automatically reports the operation data (primary side water supply temperature, primary side water supply pressure, secondary side water supply temperature, secondary side water supply pressure, primary side return water temperature, primary side return water pressure, secondary side return water temperature, secondary side return water pressure, secondary side circulation flow, heat consumption of the heat exchange station, and outdoor temperature) of the heat exchange station to the heat supply management platform at a frequency of 1 minute, and receives the 72-hour regulation and control parameter combination updated by the heat supply management platform every half hour. The heat exchange station edge controller automatically drives the heat supply regulation and control system to operate in time sequence, and realizes the regulation and control of the heat exchange station.

[0135] The floor edge controller is suitable for floor application scenarios. First, the floor edge controller has AI and AO terminals connected with the floor electric regulating valve, heat meter and pressure sensor. The floor edge controller supports analog range conversion, has PID industrial control algorithm, and supports valve adjustment ability with temperature, pressure and flow as target values. The floor edge controller receives the target adjustment value obtained by the heat supply regulation and control system according to the overall calculation of the heat supply branch, drives the floor valve adjustment through PID control, and ensures the balance of the whole network.

[0136] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be completed by a computer program instructing related hardware, and the program can be stored in a computer readable storage medium. The computer readable storage medium includes a magnetic disk, an optical disk, a read-only memory or a random access memory, etc.

[0137] The above merely describes preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A heating regulation method, characterized in that, The method includes: Acquire historical operating data from the heat exchange station and the user side, perform data cleaning, and establish a sample database; Based on the sample database, a pressure difference calculation model is established, which is used to represent the correspondence between the actual supply and return water pressure difference of the user and the outdoor temperature. Identify the most unfavorable user, calculate the actual supply and return water pressure difference for the most unfavorable user based on the pressure difference calculation model, and adjust the frequency conversion operation of the circulating water pump according to the actual supply and return water pressure difference of the most unfavorable user and the set supply and return water pressure difference for the most unfavorable user. Based on the sample database, a machine learning algorithm is applied to establish a water supply temperature calculation model and adjust the secondary water supply temperature. The historical operating data of the heat exchange station includes the primary side supply water temperature, primary side supply water pressure, secondary side supply water temperature, secondary side supply water pressure, primary side return water temperature, primary side return water pressure, secondary side return water temperature, secondary side return water pressure, secondary side circulation flow rate, heat consumption of the heat exchange station, and outdoor temperature. The historical operating data on the user side includes the user's indoor temperature and heating area; The step of establishing a differential pressure calculation model based on the sample database includes: The k-means clustering method is used to input the number of flow clusters, count the flow stages that exist in the operation of the heat exchange station, and match the secondary side circulation flow data and outdoor temperature under the same stage to count the outdoor temperature range corresponding to different secondary side circulation flow. The circulation flow per 10,000 square meters of the heat exchange station is counted, and a pressure difference calculation model is established. The determination of the most unfavorable user includes: The most unfavorable user is initially identified, and the most unfavorable user is updated after one adjustment of the variable frequency operation of the circulating water pump; The initial determination of the most unfavorable user is made by calculating the minimum circulating flow per unit area of ​​the building based on the circulating flow rate of the heat meter installed at the building's heating inlet, or by determining the minimum circulating flow per unit area of ​​the building based on empirical manual measurement. The update of the most unfavorable user involves collecting the opening degree of the electric valves on the return water pipes of all buildings after the actual weighted indoor temperature of the building is equal to the set weighted indoor temperature. The user with the largest valve opening degree is re-determined as the most unfavorable user, and the pressure difference of this user is calculated as the new set pressure difference for the most unfavorable user. The calculation method for the set pressure difference for the most unfavorable user is the same as the calculation method for the initial set pressure difference for the most unfavorable user. The sample database is used to establish a water supply temperature calculation model using machine learning algorithms. Adjusting the secondary water supply temperature includes: During operation, the system continuously monitors the user's room temperature, outdoor temperature, and secondary side circulation flow. It calculates the weighted indoor temperature based on the user's room temperature. If the weighted indoor temperature deviates from the weighted indoor temperature set value, the system corrects the weighted indoor temperature, resets the weighted indoor temperature, calls the water supply temperature calculation model, and adjusts the secondary side water supply temperature. The water supply temperature calculation model is as follows: t g =f(t n ,t w ,G z ) t g Secondary water supply temperature, °C t n Weighted indoor temperature, °C t w Outdoor temperature, °C G z Secondary circulation flow rate, t / h; The formula for calculating the weighted indoor temperature is as follows: t ni The indoor temperature for each user is derived from the user's room temperature in the heat metering system, in °C. i: User ID S i User heating area, m 2 ; The continuous monitoring of user room temperature involves the system's room temperature monitoring module feeding back the monitored heat exchange station operating parameters, outdoor temperature, and user room temperature to the sample data processing module, which then automatically updates and completes the data processing. If the weighted room temperature deviates from the set value (set value - weighted room temperature = n℃), the weighted room temperature parameter in the water supply temperature calculation model is changed to tn±n℃, the secondary side water supply temperature is recalculated, and this value is sent to the heat exchange station.

2. The heating regulation method according to claim 1, characterized in that, The worst-case scenario for the user's supply and return water pressure difference is calculated using the following steps: Obtain the most unfavorable user impedance; Based on the impedance of the most unfavorable user, the pressure difference between the supply and return water for the most unfavorable user is calculated using the following formula: ΔP=S*Gc 2 Where: S, the most unfavorable user impedance; G c The most unfavorable user operating traffic design value, t / h; ΔP, the most unfavorable user-defined supply and return water pressure difference, in kPa; Among them, the most unfavorable user operation traffic design value G c The product of the calculated circulation flow rate per 10,000 square meters of the heat exchange station under the corresponding outdoor temperature conditions and the heating area of ​​the most unfavorable user building is: Gc=L*M Where: M represents the heating area of ​​the building, in m². 2 ; L represents the circulating flow rate per 10,000 square meters, expressed in t / h / 10,000 square meters.

3. The heating regulation method according to claim 2, characterized in that, The impedance of the most unfavorable user is calculated by collecting the actual operating flow rate and supply and return water pressure of the most unfavorable user: Where: S, the most unfavorable user impedance; P g The most unfavorable actual water supply pressure for users, in kPa; P h The most unfavorable actual return water pressure for the user, kPa; G represents the most unfavorable actual user operating traffic, in t / h.

4. The heating regulation method according to any one of claims 1-3, characterized in that, The adjustment of the variable frequency operation of the circulating water pump includes: If the actual supply and return water pressure difference of the most unfavorable user is less than the set supply and return water pressure difference of the most unfavorable user, then the water pump frequency is increased; if the actual supply and return water pressure difference of the most unfavorable user is greater than the set supply and return water pressure difference of the most unfavorable user, then the water pump frequency is decreased.

5. A data analysis-based heating control system for implementing the heating control method according to any one of claims 1-4, characterized in that, Including the host system and the edge control terminal; The host system includes a sample data processing module, a data calculation module, a heating setting module, and a control and tracking module; The edge control terminal includes a heat exchange station edge controller and a building entrance edge controller; The sample data processing module is used to acquire historical operating data of the heat exchange station and historical operating data of the user side, and to clean the acquired data to obtain processed sample data. The data calculation module uses the sample data processed by the sample data processing module to perform automated statistics and calculations to obtain the pressure difference calculation model and the water supply temperature calculation model. The pressure difference calculation model is used to represent the correspondence between the actual supply and return water pressure difference of the most unfavorable user and the outdoor temperature, providing a basis for setting the actual supply and return water pressure difference of the most unfavorable user. The heating calculation model is used to provide a basis for calculating the secondary water supply temperature under actual outdoor temperature and actual weighted indoor temperature conditions.

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