CN116841197B

CN116841197B - Operation control method and device for building heat source system

Info

Publication number: CN116841197B
Application number: CN202310708816.9A
Authority: CN
Inventors: 王雅然; 周鹏坤; 何志豪; 由世俊; 张欢; 郑雪晶; 宋子旭
Original assignee: Tianjin University
Current assignee: Tianjin University
Priority date: 2023-06-15
Filing date: 2023-06-15
Publication date: 2024-02-09
Anticipated expiration: 2043-06-15
Also published as: CN116841197A

Abstract

The present disclosure provides a method and apparatus for controlling operation of a building heat source system. The method comprises the following steps: acquiring first real-time monitoring data, second real-time monitoring data and a reference value of a configuration parameter of a building heat source system, wherein the first real-time monitoring data is obtained by monitoring the building heat source system in real time, and the second real-time monitoring data is obtained by monitoring the indoor and outdoor environment temperatures of the building in real time; inputting the reference value, the first real-time monitoring data and the second real-time monitoring data into a thermal load prediction model, and outputting a total heating load value and a total heating flow value; based on the total heating load value, load distribution optimization of the boiler is carried out, and first parameter information of the boiler is obtained; based on the total heat supply flow value, carrying out transmission and distribution optimization of the water pump to obtain second parameter information of the water pump; and performing operation regulation and control on the building heat source system according to the first parameter information and the second parameter information.

Description

Operation control method and device for building heat source system

Technical Field

The present disclosure relates to the technical field of building energy management and intelligence, and in particular to a method and an apparatus for controlling operation of a building heat source system.

Background

Global energy systems are currently experiencing the most serious challenges and uncertainties for nearly 50 years. According to the global energy statistics evaluation of BP in 2022, when the energy three-difficulty problem is solved, the increasingly serious energy shortage and the continuously rising energy price highlight the importance of the energy such as safety, affordability and low-carbon sustainable development. Buildings play an important role in global energy use and carbon dioxide emissions, accounting for one third of world energy use and one fourth of carbon dioxide emissions. Since HVAC (heating, ventilation and air conditioning) systems account for 38% of building energy consumption, the energy saving potential of building energy consumption is very great.

The building heat source system is designed to meet the heat energy demands of building heating, hot water, air conditioning and the like, mainly comprises heating equipment, transmission and distribution pipelines, heat exchange equipment, a heat source control system and the like, and is an important component of building energy consumption. The heat supply equipment of the building heat source system comprises a boiler, a heat pump, a solar water heater and the like, the pipeline mainly comprises a water supply pipe, a water return pipe, a branch pipeline and the like, and the heat exchange equipment comprises a radiator, a floor heater, a fan coil pipe and the like. The heat source control system is responsible for controlling the operation of the building heat source system, including heat load calculation, temperature control, water flow control and the like.

In the process of implementing the present disclosure, it is found that in the prior art, remote monitoring and control of a building heat source system by using a heat source group control algorithm has problems of inaccurate load prediction, dependency on a control strategy, high system complexity, and the like.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a method, apparatus, device, medium, and program product for operation regulation of a building heat source system.

According to a first aspect of the present disclosure, there is provided an operation regulation method of a building heat source system, including:

acquiring first real-time monitoring data, second real-time monitoring data and a reference value of a configuration parameter of a building heat source system, wherein the first real-time monitoring data is obtained by monitoring the building heat source system in real time, and the second real-time monitoring data is obtained by monitoring the indoor and outdoor environment temperatures of the building in real time;

inputting the reference value, the first real-time monitoring data and the second real-time monitoring data into a thermal load prediction model, and outputting a total thermal load value and a total thermal flow value, wherein the thermal load prediction model is used for predicting the thermal load of a boiler and the thermal flow of a water pump in a building thermal source system in real time;

based on the total heating load value, load distribution optimization of the boiler is carried out, and first parameter information of the boiler is obtained;

Based on the total heat supply flow value, carrying out transmission and distribution optimization of the water pump to obtain second parameter information of the water pump; and

and performing operation regulation and control on the building heat source system according to the first parameter information and the second parameter information.

According to an embodiment of the present disclosure, the reference value includes at least: the first real-time monitoring data at least comprises a first reference value related to a boiler and a second reference value related to a water pump: the method comprises the steps of monitoring related data obtained by a water collecting device in a building heat source system in real time;

the method for outputting the total heating load value and the total heating flow value comprises the following steps of:

inputting the first reference value, the second reference value, the related data and the second real-time monitoring data into the thermal load prediction model so that the thermal load prediction model performs the following operations:

determining a real-time load value of the boiler based on the related data and the second reference value;

determining a load predicted value based on the second real-time monitoring data, the first reference value and the real-time load value of the boiler;

outputting a total heat supply flow value based on the load prediction value;

based on the total heat supply flow value, a total heat supply load value is output.

According to an embodiment of the present disclosure, a building heat source system includes a plurality of boilers, and first parameter information includes: first operation state information;

the method for optimizing the load distribution of the boiler based on the total heat supply load value comprises the following steps of:

traversing all boilers of a building heat source system, and determining a plurality of boiler combinations with heating power meeting a total heating load value;

screening from a plurality of boiler combinations to obtain a target boiler combination;

first operating state information characterizing a start-up state of the target boiler is determined from the target boiler combination.

According to an embodiment of the disclosure, each boiler in the building heat source system is correspondingly provided with a water pump, and the second parameter information includes: the second operation state information and the operation flow information of the water pump;

the method for optimizing the transmission and distribution of the water pump based on the total heat supply flow value, to obtain second parameter information of the water pump, comprises the following steps:

screening from a plurality of water pumps according to the target boiler combination to obtain a target water pump combination;

determining second running state information for representing the starting state of the target water pump according to the target water pump combination;

and carrying out transmission and distribution optimization of the target water pump based on the target water pump combination and the total heat supply flow value to obtain the running flow information of the target water pump.

According to an embodiment of the present disclosure, the first parameter information further includes: water supply temperature information and water outlet temperature information;

the method comprises the steps of carrying out load distribution optimization of a boiler based on a total heating load value to obtain first parameter information of the boiler, and further comprising:

for a target boiler combination, under the condition that the preset operation load is confirmed to be met, distributing the total heating load value according to the rated power ratio of the target boiler to obtain a first distribution result;

for the target boiler combination, distributing the total heating load value according to the preset load distribution priority to obtain a second distribution result;

for the target boiler combination, distributing the total heating load value by using a quadratic programming model to obtain a third distribution result;

determining an allocation result with highest comprehensive operation efficiency according to the comprehensive operation efficiency obtained by calculating the first allocation result and the second allocation result;

determining water supply temperature information and water outlet temperature information of each boiler in target boilers in a first stage of a preset operation period based on an allocation result with highest comprehensive operation efficiency;

and determining the water supply temperature information and the water outlet temperature information of each boiler in the target boilers in the second stage of the preset operation period based on the third distribution result.

According to an embodiment of the present disclosure, based on a target water pump combination and a total heat supply flow value, a transmission and distribution optimization of a target water pump is performed to obtain operation flow information of the target water pump, including:

the impedance value of the target boiler, a coefficient matrix of a quadratic polynomial of the lift of the target water pump relative to the flow and the backwater flow of the water diversity device are used for determining a parallel flow lift characteristic curve;

determining the required operating frequency information under the condition of meeting the total heat supply flow value according to the parallel flow lift characteristic curve and the minimum value of the impedance of the pipe network from the water diversion device to the heat exchange equipment;

and determining the operation flow information of each water pump in the target water pump according to the operation frequency information and the lift of the target water pump.

According to an embodiment of the present disclosure, the third allocation result is used to characterize an allocation result of the operation load to the target boiler;

wherein determining the water supply temperature information and the water outlet temperature information of each boiler in the target boiler based on the third distribution result comprises:

the following operations are performed for each of the target boilers:

determining an operation load value of the boiler according to the third distribution result;

and determining water supply temperature information and water outlet temperature information according to the operation load value of the boiler and the operation flow information of the water pump correspondingly configured to the boiler.

A second aspect of the present disclosure provides an operation control device of a building heat source system, comprising:

the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring first real-time monitoring data, second real-time monitoring data and a reference value of a configuration parameter of a building heat source system, the first real-time monitoring data is obtained by monitoring the building heat source system in real time, and the second real-time monitoring data is obtained by monitoring the internal and external environment temperature of a building in real time;

the prediction module is used for inputting the reference value, the first real-time monitoring data and the second real-time monitoring data into a thermal load prediction model and outputting a total thermal load value and a total thermal load value, wherein the thermal load prediction model is used for predicting the thermal load of a boiler and the thermal flow of a water pump in a building thermal source system in real time;

the first processing module is used for carrying out load distribution optimization of the boiler based on the total heating load value to obtain first parameter information of the boiler;

the second processing module is used for carrying out transmission and distribution optimization of the water pump based on the total heat supply flow value to obtain second parameter information of the water pump; and

and the regulation and control module is used for regulating and controlling the operation of the building heat source system according to the first parameter information and the second parameter information.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of regulating operation of the building heat source system described above.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described method of operation regulation of a building heat source system.

A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described method of operation regulation of a building heat source system.

According to the embodiment of the disclosure, based on the indoor and outdoor air temperatures of the building and the real-time monitoring of the building heat source system, the heat supply load can be adjusted in real time so as to ensure the heat utilization requirement of the terminal heat exchange equipment and ensure the thermal comfort of the indoor environment; the comprehensive heat efficiency of the heat source is improved as much as possible through the load distribution optimization of the boiler; and the energy consumption of the transmission and distribution is reduced as much as possible through the optimization of the transmission and distribution of the water pump. The method and the device dynamically regulate and control the operation mode and parameters of the building heat source system based on the real-time change of the building heat demand, can realize the effective utilization of energy, reduce the energy consumption and the emission of the carbon dioxide isothermal chamber gas, and achieve the purposes of energy conservation and emission reduction; optimizing the operation of the building heat source system can improve the indoor temperature control precision of the building and reduce the temperature fluctuation, thereby improving the thermal comfort and the quality of living and working environments; by optimizing the operation of the building heat source system, the stability and reliability of the system can be improved, the failure rate of the system can be reduced, and the maintenance and replacement costs can be reduced, thereby reducing the maintenance cost of the building.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates a flow chart of a method of operation regulation of a building heat source system in accordance with an embodiment of the present disclosure;

FIG. 2 schematically illustrates a schematic diagram of a heat source delivery system according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow chart of a method of operation regulation of a building heat source system according to another embodiment of the present disclosure;

FIG. 4 schematically illustrates a block diagram of an operation regulation device of a building heat source system according to an embodiment of the present disclosure; and

fig. 5 schematically illustrates a block diagram of an electronic device suitable for implementing a method of operation regulation of a building heat source system, in accordance with an embodiment of the disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the disclosure, the related data (such as including but not limited to personal information of a user) are collected, stored, used, processed, transmitted, provided, disclosed, applied and the like, all conform to the regulations of related laws and regulations, necessary security measures are adopted, and the public welcome is not violated.

In the technical scheme of the embodiment of the disclosure, the authorization or consent of the user is obtained before the personal information of the user is obtained or acquired.

In the process of implementing the present disclosure, heat source group control algorithms have been found to be widely studied and applied with the development of building energy management and intelligent technologies. The development process can be divided into an early stage, a middle stage and a modern stage.

Wherein, for the initial stage: the heat source group control algorithm initially appears in the eighties of the last century, and mainly aims to solve the problems of energy waste and comfort of the traditional heat source system. The control strategy of the heat source group control algorithm mainly comprises a fixed control scheme which is mainly formulated according to the factors such as seasons, time and building types.

For the mid-stage: with the progress of computer technology and the application of intelligent control technology, the heat source group control algorithm gradually develops to intelligence and self-adaption. The control strategy of the heat source group control algorithm mainly based on the technologies of model predictive control, artificial neural network control and the like can be dynamically adjusted according to real-time heat load requirements, and the efficient utilization of energy and the improvement of comfort level are realized.

For the modern phase: with the wide application of technologies such as big data, cloud computing and the internet of things, the heat source group control algorithm further develops to intellectualization and networking. The heat source group control algorithm based on the cloud computing platform and the Internet of things technology can realize remote monitoring and control of the heat source system, and improves the operation efficiency and stability of the heat source system.

However, the current heat source group control algorithm still has some defects, mainly expressed in the following aspects:

load prediction is inaccurate: the core of the heat source group control algorithm is to dynamically adjust according to the real-time heat load demand, however, the prediction of the heat load has errors, so that the control effect of a heat source system is not satisfactory.

Dependency on control strategy: the control effect of the heat source group control algorithm is greatly dependent on the establishment of a control strategy, and if the control strategy is not reasonable or is not suitable for a specific building, the control effect is poor.

The system complexity is high: the heat source group control algorithm needs to build a model of a heat source system, collect a large amount of real-time data, and perform complex calculation and control, so that the complexity of the system is high and the system is not easy to realize.

Although the heat source group control algorithm has achieved a certain result, there is still a disadvantage that further research and improvement are required to improve the application effect and stability of the algorithm.

The operation control method of the building heat source system of the disclosed embodiment is described in detail below with reference to fig. 1 to 3.

Fig. 1 schematically illustrates a flow chart of a method of operation regulation of a building heat source system according to an embodiment of the present disclosure.

As shown in fig. 1, the operation regulation method 100 of the building heat source system of this embodiment includes operations S110 to S150.

In operation S110, first real-time monitoring data, second real-time monitoring data and a reference value of a configuration parameter of a heat source system of a building are obtained, wherein the first real-time monitoring data is obtained by monitoring the heat source system of the building in real time, and the second real-time monitoring data is obtained by monitoring the indoor and outdoor environment temperatures of the building in real time.

According to embodiments of the present disclosure, the first real-time monitoring data, the second real-time monitoring data, and the reference value of the building heat source system configuration parameter may be acquired from a storage database of the building heat source system.

In operation S120, the reference value, the first real-time monitoring data, and the second real-time monitoring data are input into a thermal load prediction model for predicting the thermal load of a boiler and the thermal flow of a water pump in a building heat source system in real time, and the total thermal load value and the total thermal flow value are output.

According to an embodiment of the present disclosure, the total heating load value is used to characterize the heating load of all boilers within the building heat source system. The total heating flow value is used to characterize the heating flow of all water pumps in the building heat source system. The thermal load prediction model can be constructed together according to the configuration parameters of the building heat source system and the real-time monitoring data indexes.

In operation S130, load distribution optimization of the boiler is performed based on the total heating load value, and first parameter information of the boiler is obtained.

According to the embodiment of the disclosure, the load distribution optimization of the boiler can be a boiler adding and subtracting machine considering the operation time of the boiler and a heat load distribution optimization, and the total heat load value is distributed to the operated boiler to obtain the first parameter information of the boiler. Wherein the first parameter information may be used to characterize operational state information of the boiler. The first parameter information may also be used to characterize the feed water temperature information and the outlet water temperature information of the boiler. The output of each boiler can be adjusted by optimizing the heat load distribution, so that the comprehensive heat efficiency of the heat source is improved as much as possible.

In operation S140, the transmission and distribution optimization of the water pump is performed based on the total heat supply flow value, and the second parameter information of the water pump is obtained.

According to the embodiment of the disclosure, the transmission and distribution optimization of the water pump can be implemented by considering two modes of pump set variable frequency control and pump set operation under the minimum frequency and water collector differential pressure control, and under the condition that the total heat supply flow value is met, the transmission and distribution optimization is implemented on the water pump, so that the transmission and distribution energy consumption is reduced as much as possible, and the second parameter information of the water pump is obtained. The second parameter information is used for representing the running state information of the water pump and the running flow information of the water pump.

In operation S150, the building heat source system is operated according to the first parameter information and the second parameter information.

According to an embodiment of the present disclosure, the reference value may include at least: the first real-time monitoring data may include at least a first reference value related to the boiler and a second reference value related to the water pump: and the water collecting device in the building heat source system is monitored in real time to obtain related data. The first reference value related to the boiler may be a design load value, a load estimation confidence, a minimum operation load rate of the boiler, and a maximum operation load rate of the boiler for each boiler. The second reference value related to the water pump may be a minimum supply-return water temperature difference, a maximum supply-return water temperature difference, a specific heat capacity of water, a density of water, and the like. The relevant data obtained by monitoring the water collecting and distributing device in the building heat source system in real time can be the measured flow rate of the water collecting and distributing device, the water supply temperature of the water collecting and distributing device and the return water temperature of the water collecting and distributing device. The second real-time monitoring data may be an outdoor air temperature and a building indoor site air temperature considering a certain delay time.

The method for outputting the total heating load value and the total heating flow value by inputting the reference value, the first real-time monitoring data and the second real-time monitoring data into the heating load prediction model comprises the following steps:

Determining a real-time load value of the boiler based on the related data and the second reference value; determining a load predicted value based on the second real-time monitoring data, the first reference value and the real-time load value of the boiler; outputting a total heat supply flow value based on the load prediction value; based on the total heat supply flow value, the total heat supply flow value is output.

For example, the water supply temperature t of the water diversion and collection device can be measured by measuring the flow G of the water diversion and collection device _supp l _y Backwater temperature t of water collector _return Specific heat capacity C of water _water Density ρ of water _water Calculating the real-time load value Q of the boiler ₁ The calculation formula is shown as the following formula (1):

Q ₁ ＝C _water Gρ _water (t _supply -t _return )/3600 (1)

can pass the minimum operation load rate R of the boiler _min,boiler Maximum operating load rate R of boiler _max,boiler Design load Q of each boiler _boilers Calculating maximum load Q allowed by safe operation of heat source _safe,max Minimum load Q _safe,min The calculation formulas are shown in the following formulas (2) and (3):

Q _safe,max ＝R _max,boiler sum(Q _boilers ) (2)

Q _safe,min ＝R _min,boiler min(Q _boliers ) (3)

wherein the design load of each boiler

Can be based on the measured average value t of the indoor temperature of the building _in,ave With the indoor temperature set value t of the building _in,set The negative feedback coefficient alpha is determined, and the calculation formulas are shown in the following formulas (4) to (6):

t _in,ave ＝average(t _in ) (4)

Δt ₁ ＝t _in,ave -t _in,set (5)

wherein Δt is _1,min A lower limit value representing a difference between the average value of the indoor temperature of the building and the set value of the indoor temperature of the building; Δt (delta t) _1,max An upper limit value representing a difference between the average value of the indoor temperature of the building and the set value of the indoor temperature of the building; alpha _max An upper limit value representing a negative feedback coefficient; alpha _min Representing the lower limit value of the negative feedback coefficient.

Wherein, the measured indoor temperature of the building is average t _in,ave Can be based on the indoor measuring point temperature t of the building _in The method determines that the number of the nodes in the network is equal to the number of the nodes in the network,t _in,j represents the jth buildingBuilding indoor temperature value of building indoor temperature measuring point; m represents the number of indoor temperature measuring points of the building.

Can be based on the outdoor air temperature t taking into account a certain delay time _out And the indoor design temperature t _in, d _es Determining a linear interpolation heat load value Q by comparing the difference value of the temperature of the chamber with the indoor temperature difference under the design working condition ₂ The calculation formula is shown as the following formula (7):

wherein t is _out,des Indicating the design temperature of the heating chamber; q (Q) _heating,des Representing the design thermal load.

The load predicted value Q can be determined according to factors such as a negative feedback coefficient, safe operation of the boiler and the like under the load estimation confidence coefficient eta _fore The calculation formula is shown as the following formula (8):

Q _fore ＝max(min(αηQ ₂ +(1-η)Q ₁ ,Q _safe,max ),Q _safe,min ) (8)

can be based on the load predictive value Q _fore Determining the expected supply water temperature difference delta t _{heating,expect} The calculation formulas are shown in the following formulas (9) to (13):

Δt _heating ＝t _supply -t _return (9)

r＝Q _fore /sum(Q _boilers ) (11)

can be based on the load predictive value Q _fore And the desired supply and return water temperature difference delta t _{heating,expect} Determining a total heating flow value G _set The calculation formula is shown as the following formula (14):

Can be based on the total heat supply flow G _set Current backwater temperature t _return Set value t of water supply temperature _supply,set Determining the total heating load Q _set The calculation formula is shown as the following formula (15):

according to the embodiment of the disclosure, based on the indoor and outdoor air temperatures of the building and the real-time monitoring of the building heat source system, the heat supply load can be adjusted in real time so as to ensure the heat utilization requirement of the terminal heat exchange equipment and ensure the thermal comfort of the indoor environment.

According to an embodiment of the present disclosure, the building heat source system may include a plurality of boilers, and the first parameter information may include: first operation state information. The first operating state information is used to characterize an operating state of the target boiler.

The load distribution optimization of the boiler is performed based on the total heating load value, and first parameter information of the boiler is obtained, which may include:

traversing all boilers of a building heat source system, and determining a plurality of boiler combinations with heating power meeting a total heating load value; screening from a plurality of boiler combinations to obtain a target boiler combination; first operating state information characterizing a start-up state of the target boiler is determined from the target boiler combination.

All boilers can be arranged and combined to obtain proper combination subsets, a plurality of boiler combinations meeting the total heating load value are found by traversing all the proper combination subsets, the minimum capacity boiler combination is screened from the proper combination to serve as a target boiler combination, the boilers in the target boiler combination are determined to be in a starting state, and the running state of the boilers is controlled according to the starting state.

For example, a traverserProper combination subset with boiler arrangement combination for finding heat supply power greater than total heat supply load Q _set Is provided; find the total heating load Q _set As there may be multiple boilers of the same model, there may be multiple choices; based on the accumulated running time of each boiler, the boiler combination with the smallest total accumulated running time is selected, so that the start and stop of the boiler, namely the start and stop of the boiler, are determined. The start and stop of the boiler can be expressed as n _boilers,set ，When the boiler i is in a starting state, n _bolier(i) =true, otherwise, n _bolier(i) ＝false。

According to the embodiment of the disclosure, by traversing all the boilers, the boiler combination with the minimum capacity meeting the total heat supply load requirement can be found, and the start and stop of the boilers are controlled according to the boiler combination, so that the boiler load distribution is further optimized, and the comprehensive heat efficiency of the heat source is improved.

According to an embodiment of the disclosure, each boiler in the building heat source system is correspondingly configured with a water pump, and the second parameter information may include: the second operating state information and the operating flow information of the water pump.

The optimizing the water pump to obtain the second parameter information of the water pump based on the total heat supply flow value may include:

Screening from a plurality of water pumps according to the target boiler combination to obtain a target water pump combination; determining second running state information for representing the starting state of the target water pump according to the target water pump combination; and carrying out transmission and distribution optimization of the target water pump based on the target water pump combination and the total heat supply flow value to obtain the running flow information of the target water pump.

Fig. 2 schematically illustrates a schematic diagram of a heat source delivery system according to an embodiment of the present disclosure.

It should be noted that, as shown in fig. 2, the heat source transmission and distribution system of the present disclosure relates to a heat source condition of one machine and one pump, that is, control of start and stop of the boiler corresponds to corresponding start and stop control of the water pump. Wherein, the start and stop of the water pump can be expressed as n _pumps,set ，When the water pump i is in a starting state, n _pump(i) =true, otherwise, n _pump(i) ＝false。

According to the embodiment of the disclosure, the control of the start and stop of the boiler corresponds to the start and stop control of the corresponding water pump, so that the start and stop of the water pump are controlled by the start and stop of the boiler, the optimization of water pump transmission and distribution is facilitated, and the transmission and distribution energy consumption is reduced as much as possible.

According to an embodiment of the present disclosure, performing transmission and distribution optimization of a target water pump based on a target water pump combination and a total heat supply flow value to obtain operation flow information of the target water pump may include:

The impedance value of the target boiler, a coefficient matrix of a quadratic polynomial of the lift of the target water pump relative to the flow and the backwater flow of the water diversity device are used for determining a parallel flow lift characteristic curve; determining the required operating frequency information under the condition of meeting the total heat supply flow value according to the parallel flow lift characteristic curve and the minimum value of the impedance of the pipe network from the water diversion device to the heat exchange equipment; and determining the operation flow information of each water pump in the target water pump according to the operation frequency information and the lift of the target water pump.

For example, after determining the boiler and pump to be started, a coefficient matrix B of a quadratic polynomial of the head of each pump with respect to the flow rate can be determined _pumps And the impedance value S of each boiler _boilers The serial flow lift characteristic curve of one pump (namely a boiler and a water pump) is calculated, and the calculation formula is shown as the following formula (16):

wherein h is _i Representing the pump lift of one pump (namely, the boiler and the water pump are connected in series); b _0,pump(i) 、b _1,pump(i) 、b _2,pump(i) Representing polynomial fitting coefficients of an ith water pump; s is S _boiler(i) Representing the impedance value of the ith boiler; g _i Indicating the i-th water pump flow.

The flow lift characteristic curves of a plurality of groups of one-machine one-pump after being connected in parallel can be calculated according to the serial flow lift characteristic curves of one-machine one-pump, and the expression is shown as the following formula (17):

h＝b ₀ +b ₁ G+b ₂ G ² (17)

Wherein h represents the lift; b ₀ 、b ₁ 、b ₂ Representing the coefficients of the quadratic polynomial.

The minimum control pressure difference delta P between the water diversity devices can be controlled according to the parallel flow lift characteristic curve _min The minimum control pressure difference delta P is calculated by a dichotomy method _min Frequency f of _safe,min . If f _safe,min ≤f _min Let f _safe,min ＝f _min . Wherein f _min Indicating the lowest operating frequency of the water pump.

Can be based on the minimum value S of impedance of the parallel flow lift characteristic curve and the pipe network (from the water diversion device to the heat exchange device) _min Is determined to reach the total water supply flow G _set The required frequency is calculated by the following formulas (18) to (19):

if it isWhen (I)>The control strategy is pump set variable frequency control with the opening degree of the differential pressure bypass valve being 0; if->At time f _set ＝f _safe,min H=Δp _min The control strategy is that the water pump is at the frequency f _safe,min And controlling the constant pressure difference between the water collectors.

According to the frequency conversionOne-machine-one-pump series flow lift characteristic curve and water pump lift h, and determining the running flow G of each water pump _i 。

Frequency set value f of water pump _pumps,set ，

When the water pump control strategy is pump set variable frequency control with the opening degree of the differential pressure bypass valve being 0, x is as follows _set ＝0，ΔP _set =null; when the water pump control strategy is at the frequency f _safe,min Under the control of the constant pressure difference between the water-separating devices, x _set ＝null，ΔP _set ＝ΔP _min 。

According to the embodiment of the disclosure, for a primary pump (variable frequency pump) system, the total heating flow G can be based on the condition that the least adverse end differential pressure monitoring is not available _set The pump set frequency conversion control or frequency f with the opening degree of the differential pressure bypass valve being 0 is adopted _safe,min And controlling the constant pressure difference between the water collectors.

According to the embodiment of the disclosure, the water pump transmission and distribution optimization can comprise two optimization modes, namely pump set variable frequency control and pump set differential pressure control of the water separator-collector under the lowest safe frequency, so that the transmission and distribution energy consumption is reduced as much as possible.

According to an embodiment of the present disclosure, the first parameter information may further include: water supply temperature information and water outlet temperature information.

The optimizing the load distribution of the boiler based on the total heating load value to obtain the first parameter information of the boiler may further include:

for a target boiler combination, under the condition that the preset operation load is confirmed to be met, distributing the total heating load value according to the rated power ratio of the target boiler to obtain a first distribution result; for the target boiler combination, distributing the total heating load value according to the preset load distribution priority to obtain a second distribution result; for the target boiler combination, distributing the total heating load value by using a quadratic programming model to obtain a third distribution result; determining an allocation result with highest comprehensive operation efficiency according to the comprehensive operation efficiency obtained by calculating the first allocation result and the second allocation result; determining water supply temperature information and water outlet temperature information of each boiler in target boilers in a first stage of a preset operation period based on an allocation result with highest comprehensive operation efficiency; and determining the water supply temperature information and the water outlet temperature information of each boiler in the target boilers in the second stage of the preset operation period based on the third distribution result.

The preset operating load may be determined based on a minimum safe operating load, for example, the minimum safe operating load. In case it is determined that the preset operating load is satisfied, the total heating load value may be equally distributed in proportion to the rated power of the boiler, andwherein Q is _i Representing the operating load of each boiler. The preset operating period may be determined based on an actual operating time period. The preset operating period may include a first phase and a second phase. For example, the preset operating period may be four months, the first stage may be the previous month, the second stage may be the last three months, etc.

The preset load distribution priority may be as follows in order from high to low: the lowest safe operating load, the operating load at the highest efficiency, the highest safe operating load. The total heating load value can be distributed according to the preset load distribution priority, and

the overall efficiency of the target boiler combination after load distribution can be determined according to the first distribution result and the second distribution result so as to select better load distribution. And determining the water supply temperature information and the water outlet temperature information of each boiler in the target boilers in the first stage of the preset operation period according to the selected distribution result with the highest comprehensive operation efficiency, namely better load distribution.

The expression of the efficiency of the boiler with respect to the load is shown as the following formula (20):

wherein phi is _i Representing boiler efficiency; b _0,boiler(i) 、b _1,boiler(i) 、b _2,boiler(i) Polynomial fit coefficients representing the ith boiler efficiency; q (Q) _boiler,i Indicating the operational load value of the i-th boiler.

The quadratic programming model can be represented by the following formula (21):

according to the embodiment of the disclosure, on the premise of considering the safe operation load and the maximum operation load of the boiler, the comprehensive efficiency of the boiler group with two distribution models, namely greedy distribution and average distribution, can be compared first to select better load distribution. And then, load distribution is carried out by using a quadratic programming model, so that the output of each target boiler can be adjusted, and the comprehensive heat efficiency of the heat source is improved as much as possible.

According to an embodiment of the present disclosure, the third allocation result is used to characterize the allocation result of the operating load to the target boiler.

Wherein, based on the third distribution result, determining the water supply temperature information and the water outlet temperature information of each boiler in the target boiler may include:

the following operations are performed for each of the target boilers:

determining an operation load value of the boiler according to the third distribution result; and determining water supply temperature information and water outlet temperature information according to the operation load value of the boiler and the operation flow information of the water pump correspondingly configured to the boiler.

For example, it is possible to rely on the operating load Q of each boiler _i Running flow G of water pump _i Determining the water supply temperature set value t of each boiler _{supply,set,boiler(i)} Outlet water temperature set value t of each boiler _{supply,boilers,set} The calculation formula is shown as the following formula (22):

wherein,

according to the embodiment of the disclosure, after load distribution is performed by using a quadratic programming model, the output force of each target boiler is adjusted, and the water supply temperature information and the water outlet temperature information of each target boiler are determined, so that the comprehensive thermal efficiency of a heat source is improved as much as possible.

Fig. 3 schematically illustrates a flow chart of a method of operation regulation of a building heat source system according to another embodiment of the present disclosure.

As shown in fig. 3, the operation control method of the building heat source system of this embodiment may be to input the reference value and the real-time monitoring data of the configuration parameters of the building heat source system into the thermal load prediction model, and output the total heating load value and the total heating flow value. And (3) based on the total heating load value, performing start-stop optimization of the boiler and start-stop optimization of the water pump, and determining start-stop of the boiler and start-stop of the pump set. And carrying out transmission and distribution optimization of the water pump based on the start-stop control and the total heat supply flow value of the water pump to obtain a pump group optimization result. And carrying out load distribution optimization of the boiler based on start-stop control of the boiler, the total heat supply load value and flow distribution of the water pump to obtain a boiler optimization result. And determining the operation regulation parameters of the building heat source system according to the boiler start-stop, pump set optimization results and the boiler optimization results.

Wherein, building heat source system configuration parameters may be as shown in table 1 below:

TABLE 1

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The real-time monitoring data comprises first real-time monitoring data and second real-time monitoring data. The first real-time monitoring data are obtained by monitoring the building heat source system in real time, and the second real-time monitoring data are obtained by monitoring the indoor and outdoor environment temperatures of the building in real time. The real-time monitoring data can be shown in the following table 2:

TABLE 2

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The heat load prediction model is used for predicting the heat supply load of a boiler and the heat supply flow of a water pump in the building heat source system in real time. Boiler start-stop optimization can find a value Q meeting the total heating load by traversing a proper subset of permutation and combination of all boilers _set The required minimum capacity boiler is combined, and the start and stop of the boiler are controlled according to the combination. The water pump delivery optimization can be based on the heat supply flow value G _set The pump set frequency conversion control or frequency f with the opening degree of the differential pressure bypass valve being 0 is adopted _safe,min And controlling the constant pressure difference between the water collectors. The optimization of boiler load distribution can compare the comprehensive efficiency of the boiler groups of two distribution models, namely greedy distribution and average distribution, firstly under the premise of considering the safe operation load and the maximum operation load of the boiler so as to select better load distribution. And then, load distribution is carried out by using a quadratic programming model, so that the output of each target boiler can be adjusted, and the comprehensive heat efficiency of the heat source is improved as much as possible.

Wherein, the operation regulation parameters of the building heat source system are shown in the following table 3:

TABLE 3 Table 3

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According to the embodiment of the disclosure, the heat load prediction model can dynamically adjust the heat supply load according to the real-time change of the heat demand of the building so as to ensure the heat demand of the terminal heat exchange equipment and ensure the heat comfort of the indoor environment; the water pump transmission and distribution optimization is controlled by a pump set variable frequency control mode and a pump set differential pressure control mode of the water collector under the lowest safety frequency, so that the transmission and distribution energy consumption is reduced as much as possible; boiler start-stop optimization considers two parts of boiler addition and subtraction machine and heat load distribution optimization of boiler operation time, and boiler load distribution optimization considers various load distribution models such as quadratic programming distribution, greedy distribution, average distribution and the like, so that the output of each boiler can be adjusted, and the comprehensive heat efficiency of a heat source is improved as much as possible. By using the minimum impedance S of the pipe network when the opening degree of the differential pressure bypass valve is 0 _min The purpose is to keep the solenoid valve at the end heat exchange device as open as possible.

Based on the operation regulation and control method of the building heat source system, the disclosure also provides an operation regulation and control device of the building heat source system. The device will be described in detail below in connection with fig. 4.

Fig. 4 schematically illustrates a block diagram of an operation regulation device of a building heat source system according to an embodiment of the present disclosure.

As shown in fig. 4, the operation regulation device 400 of the building heat source system of this embodiment includes an acquisition module 410, a prediction module 420, a first processing module 430, a second processing module 440, and a regulation module 450.

The obtaining module 410 is configured to obtain first real-time monitoring data, second real-time monitoring data, and a reference value of a configuration parameter of a heat source system of a building, where the first real-time monitoring data is obtained by monitoring the heat source system of the building in real time, and the second real-time monitoring data is obtained by monitoring an indoor and outdoor environment temperature of the building in real time. In an embodiment, the obtaining module 410 may be configured to perform the operation S110 described above, which is not described herein.

The prediction module 420 is configured to input the reference value, the first real-time monitoring data, and the second real-time monitoring data into a thermal load prediction model, and output a total thermal load value and a total thermal load value, where the thermal load prediction model is configured to predict, in real time, a thermal load of a boiler and a thermal flow of a water pump in a building thermal source system. In an embodiment, the prediction module 420 may be configured to perform the operation S120 described above, which is not described herein.

The first processing module 430 is configured to perform load distribution optimization of the boiler based on the total heating load value, and obtain first parameter information of the boiler. In an embodiment, the first processing module 430 may be configured to perform the operation S130 described above, which is not described herein.

The second processing module 440 is configured to perform transmission and distribution optimization of the water pump based on the total heat supply flow value, and obtain second parameter information of the water pump. In an embodiment, the second processing module 440 may be configured to perform the operation S140 described above, which is not described herein.

The regulation and control module 450 is used for regulating and controlling the operation of the building heat source system according to the first parameter information and the second parameter information. In an embodiment, the regulation module 450 may be used to perform the operation S150 described above, which is not described herein.

According to embodiments of the present disclosure, any of the plurality of modules of the acquisition module 410, the prediction module 420, the first processing module 430, the second processing module 440, and the regulation module 450 may be combined in one module to be implemented, or any of the plurality of modules may be split into a plurality of modules. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. According to embodiments of the present disclosure, at least one of the acquisition module 410, the prediction module 420, the first processing module 430, the second processing module 640, and the regulation module 450 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging the circuitry, or in any one of or a suitable combination of any of the three implementations of software, hardware, and firmware. Alternatively, at least one of the acquisition module 410, the prediction module 420, the first processing module 430, the second processing module 440, and the regulation module 450 may be at least partially implemented as a computer program module, which when executed, may perform the corresponding functions.

As shown in fig. 5, an electronic device 500 according to an embodiment of the present disclosure includes a processor 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. The processor 501 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 501 may also include on-board memory for caching purposes. The processor 501 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.

In the RAM503, various programs and data required for the operation of the electronic apparatus 500 are stored. The processor 501, ROM 502, and RAM503 are connected to each other by a bus 504. The processor 501 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 502 and/or the RAM 503. Note that the program may be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, the electronic device 500 may also include an input/output (I/O) interface 505, the input/output (I/O) interface 505 also being connected to the bus 504. The electronic device 500 may also include one or more of the following components connected to the I/O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drive 510 is also connected to the I/O interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 502 and/or RAM 503 and/or one or more memories other than ROM 502 and RAM 503 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code, when executed in a computer system, causes the computer system to perform the methods provided by embodiments of the present disclosure.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 501. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed, and downloaded and installed in the form of a signal on a network medium, and/or installed from a removable medium 511 via the communication portion 509. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 509, and/or installed from the removable media 511. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 501. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. A method of operational regulation of a building heat source system, comprising:

acquiring first real-time monitoring data, second real-time monitoring data and a reference value of a configuration parameter of a building heat source system, wherein the first real-time monitoring data is obtained by monitoring the building heat source system in real time, and the second real-time monitoring data is obtained by monitoring the indoor and outdoor environment temperatures of a building in real time;

Inputting the reference value, the first real-time monitoring data and the second real-time monitoring data into a thermal load prediction model, and outputting a total thermal load value and a total thermal load value, wherein the thermal load prediction model is used for predicting the thermal load of a boiler and the thermal flow of a water pump in the building thermal source system in real time;

based on the total heating load value, carrying out load distribution optimization of the boiler to obtain first parameter information of the boiler;

based on the total heat supply flow value, carrying out transmission and distribution optimization of the water pump to obtain second parameter information of the water pump;

according to the first parameter information and the second parameter information, the operation of the building heat source system is regulated and controlled;

wherein the building heat source system includes a plurality of the boilers, and the first parameter information includes: first operation state information;

the optimizing the load distribution of the boiler based on the total heat supply load value to obtain first parameter information of the boiler comprises the following steps:

traversing all boilers of the building heat source system, and determining a plurality of boiler combinations of which the heating power meets the total heating load value;

determining the first running state information used for representing the starting state of the target boiler according to the target boiler combination;

wherein the first parameter information further includes: water supply temperature information and water outlet temperature information;

the optimizing the load distribution of the boiler based on the total heat supply load value to obtain first parameter information of the boiler further comprises:

for the target boiler combination, under the condition that the preset operation load is confirmed to be met, distributing the total heating load value according to the rated power ratio of the target boiler to obtain a first distribution result;

for the target boiler combination, distributing the total heating load value according to a preset load distribution priority to obtain a second distribution result;

Determining the water supply temperature information and the water outlet temperature information of each boiler in the target boilers in the first stage of a preset operation period based on the distribution result with the highest comprehensive operation efficiency; determining the water supply temperature information and the water outlet temperature information of each boiler in the target boilers in the second stage of the preset operation period based on the third distribution result;

wherein the third distribution result is used for representing a distribution result of the operation load of the target boiler;

wherein the determining the water supply temperature information and the water outlet temperature information of each boiler in the target boilers based on the third distribution result includes:

for each boiler in the target boilers, performing the following operations:

and determining the water supply temperature information and the water outlet temperature information according to the operation load value of the boiler and the operation flow information of the water pump configured corresponding to the boiler.

2. The method of claim 1, wherein the reference value comprises at least: a first reference value associated with the boiler and a second reference value associated with the water pump, the first real-time monitoring data comprising at least: the related data obtained by monitoring the water collector in the building heat source system in real time;

The step of inputting the reference value, the first real-time monitoring data and the second real-time monitoring data into a thermal load prediction model to output a total thermal load value and a total thermal flow value, and the step of including:

inputting the first reference value, the second reference value, the related data, and the second real-time monitoring data into the thermal load prediction model so that the thermal load prediction model performs the following operations:

determining a load predicted value based on the second real-time monitoring data, the first reference value and a real-time load value of the boiler;

outputting the total heat supply flow value based on the load prediction value;

outputting the total heating load value based on the total heating flow value.

3. The method of claim 1, wherein each of the boilers in the building heat source system is configured with the water pump, and the second parameter information comprises: second operation state information and operation flow information of the water pump;

and performing transmission and distribution optimization of the water pump based on the total heat supply flow value to obtain second parameter information of the water pump, wherein the method comprises the following steps of:

determining the second running state information used for representing the starting state of the target water pump according to the target water pump combination;

4. The method of claim 3, wherein said optimizing delivery of said target water pump based on said target water pump combination and said total heat supply flow value to obtain said operational flow information of said target water pump comprises:

the impedance value of the target boiler, a coefficient matrix of a quadratic polynomial of the lift of the target water pump about the flow and the return water flow of the water collecting device are used for determining a parallel flow lift characteristic curve;

determining required operating frequency information under the condition of meeting the total heat supply flow value according to the parallel flow lift characteristic curve and a minimum value of the impedance of a pipe network from the water diversion device to the heat exchange equipment;

and determining the operation flow information of each water pump in the target water pumps according to the operation frequency information and the lift of the target water pumps.

5. An operation control device of a building heat source system, comprising:

the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring first real-time monitoring data, second real-time monitoring data and a reference value of a configuration parameter of a building heat source system, the first real-time monitoring data is obtained by monitoring the building heat source system in real time, and the second real-time monitoring data is obtained by monitoring the temperature of the internal environment and the external environment of a building in real time;

the first processing module is used for optimizing the load distribution of the boiler based on the total heat supply load value to obtain first parameter information of the boiler;

the regulation and control module is used for regulating and controlling the operation of the building heat source system according to the first parameter information and the second parameter information;

for each boiler in the target boilers, performing the following operations:

6. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-4.

7. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-4.