CN114777325A

CN114777325A - Boiler system regulation and control method, model building method, related equipment and medium

Info

Publication number: CN114777325A
Application number: CN202210377404.7A
Authority: CN
Inventors: 黄庆鸿; 叶国有; 霍江波; 郭佳; 汪趁
Original assignee: Fulian Intelligent Workshop Zhengzhou Co Ltd
Current assignee: Fulian Intelligent Workshop Zhengzhou Co Ltd
Priority date: 2022-04-11
Filing date: 2022-04-11
Publication date: 2022-07-22
Anticipated expiration: 2042-04-11
Also published as: CN114777325B

Abstract

The application provides a boiler system regulation and control method, a model building method, related equipment and a medium, wherein the regulation and control method comprises the following steps: acquiring target heat supply parameters and real-time operation parameters of a boiler; obtaining a predicted heat supply parameter of the boiler based on a real-time operation parameter and a regulation and control model of the boiler; and regulating and controlling the boiler system according to the predicted heat supply parameters and the target heat supply parameters. The water supply temperature of the operation parameter control boiler of this application automatically regulated boiler avoids leading to increasing fuel quantity and extravagant water consumption because the temperature is too high, reduces energy consumption, improves the efficiency, is favorable to energy-concerving and environment-protectively, accords with carbon neutralization, carbon reaches the peak theory, avoids simultaneously because the temperature is low excessively and can't satisfy the heat supply demand.

Description

Boiler system regulation and control method, model building method, related equipment and medium

Technical Field

The application relates to the technical field of boilers, in particular to a boiler system regulating and controlling method, a model establishing method, related equipment and a medium.

Background

As an energy conversion device, the boiler is widely applied to industrial production and daily life. The boiler heats or humidifies air by supplying hot water, and if the temperature of water supplied by the boiler is too high, although the requirement of heating or humidifying can be met, the air temperature is easily too high, ice water is consumed for cooling, and heat loss is increased. If the temperature of the water supplied from the boiler is too low, the temperature rise or humidification may be affected. Therefore, at present, means for controlling the water temperature of the boiler is lacked, fuel consumption and water consumption are increased and wasted easily due to overhigh water temperature, energy waste is caused, or the heat supply requirement cannot be met due to overlow water temperature.

Disclosure of Invention

In view of the above, it is necessary to provide a boiler system control method, a model building method, related devices and media, so as to solve the technical problems that the water temperature of the boiler is not controlled, the fuel consumption and the water consumption are increased and wasted due to too high water temperature, or the heating requirement cannot be met due to too low water temperature.

The application provides a regulation and control method of a boiler system, which comprises the following steps:

acquiring target heat supply parameters and real-time operation parameters of a boiler;

obtaining a predicted heat supply parameter of the boiler based on the real-time operation parameter and the regulation and control model of the boiler;

and regulating and controlling the boiler system according to the predicted heat supply parameters and the target heat supply parameters.

The present application further provides a regulation and control device of a boiler system, comprising:

the first communicator is used for acquiring target heat supply parameters and real-time operation parameters of the boiler;

a first processor coupled to the first communicator; and

the first storage is stored with instructions, and the instructions are loaded by the first processor and execute the regulating and controlling method of the boiler system.

The present application further provides an electronic device, comprising:

a second processor; and

and the second memory is used for storing instructions, and the instructions are loaded by the second processor and used for executing the regulation and control method of the boiler system.

The present application further provides a computer readable storage medium having stored thereon at least one computer instruction, the instruction being loaded by a second processor and executing the method of regulating a boiler system as described above.

The application also provides a method for establishing a regulation and control model of a boiler system, which comprises the following steps:

acquiring parameter data of the boiler system;

preprocessing the parameter data to obtain a training data set;

and obtaining a regulation and control model of the boiler system based on the training data set and the initial data model.

The present application further provides an apparatus for establishing a regulation and control model of a boiler system, the apparatus comprising:

a third communicator to acquire data;

a third processor coupled to the third communicator; and

and the third memory is used for storing instructions, and the instructions are loaded by the third processor and used for executing the method for establishing the regulation and control model of the boiler system.

The application further provides an electronic device, which comprises a fourth processor and a fourth memory, wherein the fourth memory is used for storing instructions, and the fourth processor is used for calling the instructions in the fourth memory, so that the electronic device executes the method for establishing the regulation and control model of the boiler system.

The present application also provides a computer readable storage medium storing computer readable instructions, which when executed by the fourth processor, implement the method for establishing a regulation and control model of a boiler system as described above.

The utility model provides a boiler system regulation and control method, model establishment method, relevant equipment and medium can automatically regulated boiler's operational parameter control boiler's water supply temperature, make the water supply temperature of boiler accords with target water supply temperature, avoids increasing fuel consumption and extravagant water consumption because the temperature is too high, reduces energy consumption, improves the efficiency, is favorable to energy-concerving and environment-protective, accords with carbon neutralization, carbon and reaches the peak theory, avoids simultaneously because the temperature is low and can't satisfy the heat supply demand.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a boiler according to an embodiment of the present application.

FIG. 2 is a flow chart of a method for regulating a boiler system according to an embodiment of the present application.

FIG. 3 is a flow chart of obtaining predicted heating parameters of a boiler based on real-time operating parameters and a regulatory model of the boiler according to an embodiment of the present application.

FIG. 4 is a flow chart for regulating operating parameters of the boiler based on the predicted heating parameter and the target heating parameter according to an embodiment of the present application.

FIG. 5 is a flow chart for regulating an operating parameter of a boiler based on a parameter deviation value and a preset deviation value according to an embodiment of the present application.

FIG. 6 is a schematic structural diagram of a boiler according to another embodiment of the present application.

FIG. 7 is a flow chart illustrating the regulation of the operating parameters of the boiler based on the deviation of the parameter from the predetermined deviation according to an embodiment of the present application.

FIG. 8 is a schematic structural diagram of a boiler according to another embodiment of the present application.

FIG. 9 is a flow chart illustrating the regulation of the operating parameters of the boiler based on the deviation value of the parameter and the preset deviation value according to an embodiment of the present application.

FIG. 10 is a schematic structural diagram of a boiler according to another embodiment of the present application.

FIG. 11 is a flow chart illustrating the regulation of the operating parameters of the boiler based on the deviation of the parameter from the predetermined deviation according to an embodiment of the present application.

Fig. 12 is a schematic structural diagram of a control device according to an embodiment of the present application.

Fig. 13 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

FIG. 14 is a flow chart of a method for building a regulatory model of a boiler system according to an embodiment of the present application.

FIG. 15 is a flow chart of preprocessing parameter data to obtain a training data set according to an embodiment of the present application.

FIG. 16 is a flowchart of preprocessing parameter data to obtain a training data set according to an embodiment of the present application.

Fig. 17 is a schematic diagram of an evaluation index of a data model according to an embodiment of the present application.

Fig. 18 is a schematic structural diagram of a setup apparatus according to an embodiment of the present application.

Fig. 19 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Description of the main elements

Boiler system 1

Boiler 10

Temperature and humidity sensor 101

Water inlet 102

Water outlet 103

Water pump 11

The inlet pipe 12

Water outlet pipe 13

First temperature sensor 131

Water supply pipe 14

Second temperature sensor 141

Return pipe 15

Third temperature sensor 151

First water circulation regulating pipeline 16

First bypass valve 161

Second water circulation regulating pipeline 17

Second bypass valve 171

Supply and demand targets 18

Regulating device 2

First processor 201

First memory 202

First computer program 203

First communicator 204

Electronic device

3, 5

Second processor 301

Second memory 302

Second computer program 303

Building apparatus 4

Third processor 401

Third memory 402

Third computer program 403

Third communicator 404

Fourth processor 501

Fourth memory 502

Fourth computer program 503

The following detailed description will further illustrate the present application in conjunction with the above-described figures.

Detailed Description

In order that the above objects, features and advantages of the present application can be more clearly understood, a detailed description of the present application will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.

In the following description, numerous specific details are set forth to provide a thorough understanding of the present application, and the described embodiments are merely a subset of the embodiments of the present application and are not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

Fig. 1 is a schematic structural diagram of a boiler system according to a first embodiment of the present application. The boiler system 1 includes a boiler 10, a water pump 11 for water supply and return circulation, a water inlet pipe 12 connected to the water pump 11 and a water inlet 102, respectively, a water outlet pipe 13 connected to a water outlet 103, a water supply pipe 14 connected to the water outlet pipe 13, and a return pipe 15 connected to the water pump 11. In one embodiment, the boiler 10 is provided with a temperature/humidity sensor 101 for detecting the temperature and humidity of the outside air. The outlet pipe 13 is provided with a first temperature sensor 131, which is disposed adjacent to the boiler 10 and is used for detecting the outlet temperature T of the water heated in the boiler 10_{Go out}. The water supply pipe 14 is provided with a second temperature sensor 141 for detecting the real-time water supply temperature T_{For supplying to}Since heat loss, heat exchange with the external air, etc. are generated when the water from the boiler 10 flows to the water supply pipe 14 and the supply and demand target 18 through the water outlet pipe 13, the second temperature sensor 141 may be disposed adjacent to the supply and demand target 18 to more accurately measure the actual supply water temperature T flowing into the end of the supply and demand target 18_{For supplying to}. The water return pipe 15 is provided with a third temperature sensor 151 for detecting the water return temperature T_{Chinese character hui}。

In one embodiment, the boiler 10 is used to supply hot water to the supply and demand targets 18. Supply and demand target 18 may be an apparatus, device, system, or enclosed space, etc., the apparatus, device, or system may be a MAU (fresh Air Unit) apparatus or system, an Air conditioning device, or a heating device, etc., and the enclosed space may be an office, a machine shop, or a clean room, etc. Accordingly, the water circulation between the boiler 10 and the supply and demand target 18 is also realized, and the hot water heated in the boiler 10 is circulated to the water supply pipe 14 through the water outlet pipe 13, and is finally supplied with heat to the supply and demand target 18 by the water supply pipe 14, and the water subjected to heat exchange and heat utilization by the supply and demand target 18 is circulated again to the boiler 10 through the water inlet pipe 12 by the water return pipe 15 and the water pump 11 to be reheated, recirculated, and reused.

Please refer to fig. 2, which is a flowchart illustrating a method for regulating a boiler system according to an embodiment of the present application. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs. The regulating and controlling method of the boiler system comprises the following steps:

s101, acquiring target heat supply parameters and real-time operation parameters of the boiler 10.

In a heating scene of production or life, certain requirements are made on heating parameters, for example, certain temperature and humidity need to be reached, so that a target heating parameter meeting the supply and demand target requirement is obtained by the control method of the application, for example, the target heating parameter is 40 ℃ (an environmental parameter or a requirement parameter of a heating target). The parameters of the boiler system for supplying heat to the heat supply target in the operating state are real-time operating parameters.

In an embodiment, a target heat supply parameter of the boiler 10 is obtained to determine a heat supply target to be achieved by regulating and controlling the boiler system, and a real-time operation parameter of the boiler 10 is obtained to determine a parameter related to a predicted heat supply parameter, so that the accuracy of the predicted heat supply parameter obtained by the regulating and controlling method of the present application is improved. Wherein predicting the heating parameter comprises predicting a temperature of the supply water. The regulating and controlling method can predict the water supply temperature of the boiler based on the real-time operation parameters of the boiler, so that the boiler system can be regulated and controlled more timely and more accurately.

In an embodiment, the target heating parameter comprises a target supply water temperature. The real-time operation parameters include at least one of a furnace shutdown temperature, a furnace start temperature, a water outlet temperature, a water return temperature, an outside air enthalpy value, an outside air temperature, an outside air humidity, and a real-time water supply temperature of the boiler 10.

And S102, obtaining the predicted heat supply parameters of the boiler based on the real-time operation parameters and the regulation and control model of the boiler 10.

In one embodiment, the real-time operating parameters of the boiler 10 are used as input data to the control model, and the predicted heating parameters of the boiler are automatically output through the control model.

In one embodiment, the control model is a regression algorithm model, and the regression algorithm model is a support vector machine model, a random forest model, a gradient boosting decision tree algorithm model, or a ridge regression model.

Referring to fig. 3, in one embodiment, the obtaining of the predicted heating parameters of the boiler based on the real-time operation parameters and the regulation model of the boiler 10 includes:

and S1021, integrating the acquired real-time operation parameters to obtain input data.

In one embodiment, the acquired real-time operation parameters relate to temperature parameters, humidity parameters, enthalpy parameters and the like, the types of the parameters are dispersed, the formats of the parameter data are not uniform, and the parameters cannot be directly input into the regulation and control model, so that the acquired operation parameters are integrated to obtain input data which can be directly input into the regulation and control model.

In one embodiment, the integrating the acquired real-time operation parameters to obtain the input data includes: and performing row-column conversion and derivative variable on the real-time operation parameters to obtain input data.

In an embodiment, the real-time operation parameters are subjected to row-column conversion through SQL statements of a database, different types of parameters are classified (for example, temperature parameters are classified into one type, humidity parameters are classified into one type) in a presentation form of combing data, and then the real-time operation parameters are subjected to derivative variables based on a preset time interval, so that on one hand, the data volume is enlarged, on the other hand, the accuracy of the data is optimized, and on the other hand, while the derivation and conversion are performed, the data formats of the same type of parameters are unified, and optionally, the preset time interval is 6 minutes. For example, the real-time backwater temperature is derived, and the data before 6 minutes, the data before 12 minutes and the backwater temperature data before 18 minutes are subjected to error elimination, format calibration and the like, and then the data are used as real-time operation parameters.

And S1022, obtaining the predicted heat supply parameters of the boiler based on the input data and the regulation and control model.

In one embodiment, the integrated input data is input into the regulation and control model to obtain the predicted heating parameters of the boiler without manual or other equipment calculation.

And S103, regulating and controlling the boiler system according to the predicted heat supply parameters and the target heat supply parameters.

This application is after obtaining prediction heat supply parameter, through regulation and control model and target heat supply parameter, carries out the back control to heating system's operating parameter for the prediction heat supply parameter of regulation and control model output accords with target heat supply parameter, in order to satisfy the heating requirement, and this application is through the model prediction, and the back control heating system can real-time intelligent regulation and control heating system's operating parameter, satisfies the heat supply demand when improving regulation and control efficiency, and realizes energy-concerving and environment-protective beneficial effect.

In one embodiment, a system for regulating a boiler based on a predicted heating parameter and a target heating parameter includes: and regulating and controlling the operation parameters of the boiler according to the target water supply temperature and the predicted water supply temperature.

In one embodiment, after the predicted water supply temperature of the boiler is obtained through the regulation and control model, the predicted water supply temperature is compared with the target water supply temperature, and the operation parameters of the boiler system are automatically regulated and controlled based on the comparison result, so that the predicted water supply temperature meets the target water supply temperature, and the intellectualization of the regulation and control of the boiler system is realized.

In one embodiment, the operating parameters include, but are not limited to, start-up temperature, shut-down temperature, and start-stop status of the boiler.

Referring to fig. 4, in an embodiment, the adjusting and controlling the operation parameters of the boiler according to the predicted heating parameters and the target heating parameters includes:

and S1031, determining a parameter deviation value according to the predicted heat supply parameter and the target heat supply parameter.

In one embodiment, the parameter deviation value between the predicted heating parameter and the target heating parameter is used as a comparison result of the predicted heating parameter and the target heating parameter, and is also a basis for regulating and controlling the operation parameters of the boiler.

In an embodiment, determining the parameter deviation value in dependence on the predicted heating parameter and the target heating parameter comprises: and calculating a difference value obtained by subtracting the target water supply temperature from the predicted water supply temperature, and determining the difference value as a parameter deviation value. For example, if the predicted feed water temperature is 40 ℃ and the target feed water temperature is 35 ℃, the deviation value of the parameters is +5 ℃, which indicates that the boiler is operated with the current real-time operating parameters, such that the feed water temperature is 5 ℃ higher than the target feed water temperature, and thus the operation of the boiler needs to be readjusted and controlled, and the operating parameters of the boiler are changed, such that the final feed water temperature is 35 ℃.

In one embodiment, the parameter deviation value between the predicted heat supply parameter and the target heat supply parameter is used as a basis for measuring and controlling the operation parameter of the boiler system so as to accurately control the operation parameter of the boiler system.

S1032, regulating and controlling the operation parameters of the boiler based on the parameter deviation value and the preset deviation value.

In one embodiment, the magnitude relation between the predicted heating parameter and the target heating parameter can be determined by the positive and negative of the parameter deviation value, and the difference between the predicted heating parameter and the target heating parameter can be determined by the magnitude relation between the absolute value of the parameter deviation value and the preset deviation value.

Referring to fig. 5, in an embodiment, the adjusting the operating parameters of the boiler based on the parameter deviation value and the preset deviation value includes:

s201, judging whether the parameter deviation value is larger than zero, judging whether the absolute value of the parameter deviation value is larger than a preset deviation value, and judging whether the boiler is shut down.

S202, based on the fact that the parameter deviation value is larger than zero and the absolute value of the parameter deviation value is larger than a preset deviation value, the boiler is not shut down, and the boiler shutdown temperature is reduced.

In one embodiment, if the parameter deviation is greater than zero and the absolute value of the parameter deviation is greater than the predetermined deviation, the predicted supply water temperature T is indicated_{For supplying to}Exceeding the target feed water temperature is more, if the boiler is not stopped, the boiler is indicated to be stopped at a higher temperature and not stopped in time, so that the predicted feed water temperature T is caused_{For supplying to}Too high, so that the boiler is shut down in advance by reducing the shutdown temperature, thereby reducing the predicted feed water temperature T in time_{For supplying to}So that the supply water temperature T is predicted_{For supplying to}The temperature of the water supplied to the target is reduced in time, and the energy consumption is reduced.

In one embodiment, the heating time and the heating temperature of the boiler are controlled and adjusted to reduce the furnace shutdown temperature so that the absolute value of the deviation value of the parameter is less than or equal to the preset deviation value, namely, the predicted feed water temperature T_{For supplying to}According with the target water supply temperature.

S203, based on the fact that the parameter deviation value is smaller than zero and the absolute value of the parameter deviation value is larger than the preset deviation value, the boiler is shut down, and the boiler starting temperature is increased.

In one embodiment, if the parameter deviation is less than zero and the absolute value of the parameter deviation is greater than the predetermined deviation, the predicted supply water temperature T is indicated_{For supplying to}The temperature lower than the target water supply temperature is more, if the boiler is shut down, the boiler is not started in time after the boiler is shut down, so that the water in the pipeline cannot be continuously heated, and the predicted water supply temperature T is ensured_{For supplying to}Too low, in order to raise the predicted feed water temperatureT_{For supplying to}Increasing the start-up temperature to start the boiler in advance, i.e. starting the boiler for heating when the boiler is not completely cooled, to increase the predicted supply water temperature T_{For supplying to}。

In one embodiment, the heating time and the heating temperature of the boiler are controlled and adjusted to increase the start-up temperature, so that the absolute value of the parameter deviation value is less than or equal to the preset deviation value, namely, the predicted feed water temperature T is enabled to be_{For supplying to}According with the target water supply temperature.

In the first embodiment, the outlet water temperature T sensed by the first temperature sensor 131 is obtained_{Go out}Based on the temperature T of the water outlet_{Go out}And controlling the starting and stopping states of the boiler.

Specifically, if the water outlet temperature T is_{Go out}If the temperature is higher than the blowing-out temperature, the boiler 10 is controlled to be blown out, and if the temperature T of the outlet water is higher than the blowing-out temperature_{Go out}And controlling the boiler 10 to work when the temperature is higher than the starting temperature and lower than the stopping temperature. If the temperature T of the discharged water_{Go out}And controlling the boiler 10 to operate when the temperature is lower than the starting temperature, namely, the boiler 10 continues to operate when the boiler 10 is in the starting state. It should be noted that the outlet water temperature T can be judged by_{Go out}Whether the temperature is higher than the blowing-out temperature or not, and judging the effluent temperature T_{Go out}Whether the temperature is higher than the start temperature or not is judged to adjust and control the boiler 10 to stop, start or continue working.

It should be noted that if the outlet water temperature T is lower than the water temperature T_{Go out}If the temperature is higher than the furnace shutdown temperature, the outlet water temperature T is shown_{Go out}Too high, in order to guarantee the stability of the boiler 10, the boiler 10 is controlled to be shut down. In the process of blowing out, the boiler 10 gradually reduces the heat supply amount, stops supplying fuel, uses the original fuel to continue heat supply, and the water pump 11 continues to work. If the temperature T of the discharged water_{Go out}When the temperature is reduced to be more than the starting temperature and less than the shutdown temperature due to shutdown, the effluent temperature T is shown_{Go out}Having been lowered to the safe temperature, the boiler 10 is started to operate. If the temperature T of the discharged water_{Go out}Less than the starting temperature, indicating the water outlet temperature T_{Go out}Lower, the boiler 10 is operating.

Fig. 6 is a schematic structural diagram of a boiler system according to a second embodiment of the present application. Further, a first water circulation adjusting pipeline 16 is arranged between the water inlet pipe 12 and the water outlet pipe 13 of the boiler 10, and the first water circulation adjusting pipeline 16 is connected in parallel with the boiler 10. The first water circulation adjustment pipe 16 is provided with a first bypass valve 161.

In an embodiment, the operating parameters of the boiler further comprise the switching state or opening degree of the first bypass valve 161.

Referring to fig. 7, controlling the on-off state or opening degree of the first bypass valve 161 based on the parameter deviation value and the preset deviation value includes:

s301, judging whether the parameter deviation value is larger than zero or not, and judging whether the absolute value of the parameter deviation value is larger than a preset deviation value or not.

S302, based on the parameter deviation value being greater than zero and the absolute value of the parameter deviation value being greater than the preset deviation value, the first bypass valve 161 is controlled to open or increase the opening degree of the first bypass valve 161.

It should be noted that, if the parameter deviation value is greater than zero and the absolute value of the parameter deviation value is greater than the preset deviation value, the first bypass valve 161 is opened when the first bypass valve 161 is in the closed state, or the opening degree of the first bypass valve 161 is increased when the opening degree of the first bypass valve 161 is small, so that part of or more backwater enters the first water circulation adjusting pipeline 16 and is supplied to the supply and demand target 18 together with the water heated by the boiler 10 through the water supply pipe 14, and since the backwater entering the first water circulation adjusting pipeline 16 is not heated by the boiler 10, the predicted supply water temperature T can be reduced_{For supplying to}Avoiding predicting the supply water temperature T_{For supplying to}Too high to meet the heat supply demand, so that the water supply temperature T is predicted_{For supplying to}The target water supply temperature is met, and meanwhile, the energy consumption is timely reduced.

S303, based on the parameter deviation value being less than zero and the absolute value of the parameter deviation value being greater than the preset deviation value, the first bypass valve 161 is controlled to close or decrease the opening degree of the first bypass valve 161.

It should be noted that, if the parameter deviation value is smaller than zero and the absolute value of the parameter deviation value is larger than the preset deviation value, the first bypass valve 161 is closed when the first bypass valve 161 is in the open state, or the opening degree of the first bypass valve 161 is reduced when the opening degree of the first bypass valve 161 is larger, so that the return water does not enter the first water circulation adjustmentInstead, the line 16 enters the boiler 10 and is heated by the boiler 10 to increase the predicted feed water temperature T_{For supplying to}Or reducing the amount of return water entering the first water circulation regulating line 16 so that more return water enters the boiler 10, thereby increasing the predicted feed water temperature T_{For supplying to}So that the predicted feed water temperature T of the boiler_{For supplying to}Meet the target water supply temperature and avoid predicting the water supply temperature T_{For supplying to}Too low to meet heating requirements.

Fig. 8 is a schematic structural diagram of a boiler according to a third embodiment of the present application. Further, a second water circulation adjusting pipe 17 is provided between the water supply pipe 14 and the water return pipe 15 of the boiler 10, and the second water circulation adjusting pipe 17 is connected in parallel with the boiler 10. The second water circulation adjustment line 17 is provided with a second bypass valve 171. In one embodiment, when the boiler 10 is opened during the heating operation or during the long-term non-operation, the water return pipe 15 has a small amount of water and a low temperature, which results in a large temperature difference of the system and an unstable temperature of the end water supply. At this time, the second bypass valve 171 is opened so that part of the water supply pipe 14 is not supplied to the supply and demand target 18, but is introduced into the return pipe 15 through the second water circulation adjusting pipe 17 to be heated by being introduced into the boiler 10 in advance, and is circulated to raise the return water temperature T as fast as possible_{Chinese character hui}So that the boiler 10 is safely and normally operated.

In the first embodiment, the operating parameters of the boiler further include the opening and closing state or degree of opening of the second bypass valve 171.

Referring to fig. 9, the opening/closing state or degree of opening of the second bypass valve 171 is controlled back based on the parameter deviation value and the preset deviation value.

S401, judging and predicting the water supply temperature T_{For supplying to}Temperature T of return water_{Go back to}Whether the temperature difference between the two is greater than the preset temperature difference. Wherein the sensed backwater temperature T may be acquired from the third temperature sensor 151_{Go back to}And (5) and. Alternatively, the preset temperature difference may be set to 20 ℃ with reference to the safety performance of the boiler tube.

Based on the determination result of the step S401, if the boiler 10 is turned on immediately after the start of heating or is not operated for a long time, the supply water temperature T is predicted_{For supplying to}Temperature T of return water_{Chinese character hui}BetweenIs greater than the preset temperature difference, S402: the second bypass valve 171 is controlled to open or increase the opening degree of the second bypass valve 171 to raise the return water temperature T_{Go back to}So that the boiler 10 is normally operated.

It should be noted that, when the boiler 10 is just started to supply heat, the water amount in the return pipe 15 is small, and the temperature is low, which results in a large temperature difference in the system and an unstable temperature of the end water supply. At this time, the second bypass valve 171 is opened so that part of the water in the water supply pipe 14 is not supplied to the supply and demand target 18, but enters the water return pipe 15 through the second water circulation adjusting pipe 17 by the water pump 11, and further enters the boiler 10 in advance for heating, and the circulation is performed so as to raise the return water temperature T as soon as possible_{Go back to}。

Based on the determination result in the step S401, if the water supply temperature T is predicted_{For supplying to}Temperature T of return water_{Chinese character hui}If the temperature difference is less than or equal to the preset temperature difference, S403: the second bypass valve 171 is controlled to close or reduce the opening degree of the second bypass valve 171.

It should be noted that, if the temperature of the return pipe 15 is high and the temperature difference of the system is small, the temperature of the end water supply tends to be stable. At this time, the second bypass valve 171 is closed so that all the water of the water supply pipe 14 is supplied to the supply and demand target 18 without being previously introduced into the return pipe 15 through the second water circulation adjustment pipe 17.

Fig. 10 is a schematic structural diagram of a boiler according to a fourth embodiment of the present application.

Further, a first water circulation adjusting pipeline 16 is arranged between the water inlet pipe 12 and the water outlet pipe 13 of the boiler 10 in parallel, and the first water circulation adjusting pipeline 16 is provided with a first bypass valve 161. A second water circulation adjusting pipe 17 is provided in parallel between the water supply pipe 14 and the water return pipe 15 of the boiler 10, and the second water circulation adjusting pipe 17 is provided with a second bypass valve 171.

In the first embodiment, the operating parameters of the boiler include start-stop state, furnace shutdown temperature, furnace start-up temperature, number and frequency of water pump activations, switching state or opening degree of the first bypass valve 161, and switching state or opening degree of the second bypass valve 171.

Referring to fig. 11, the opening and closing states or the opening degrees of the first bypass valve 161 and the second bypass valve 171 are back-controlled based on the parameter deviation value and the preset deviation value.

S501, judging and predicting the water supply temperature T_{For supplying to}Temperature T of return water_{Chinese character hui}Whether the temperature difference between the two is greater than the preset temperature difference. Optionally, the predetermined temperature difference is 20 ℃.

Based on the determination result of the step S501, if the water supply temperature T is predicted_{For supplying to}Temperature T of return water_{Go back to}If the temperature difference is greater than the preset temperature difference, S502 is performed: the second bypass valve 171 is controlled to open or increase the opening degree of the second bypass valve 171 to raise the return water temperature T_{Chinese character hui}So that the boiler 10 is normally operated.

Based on the determination result in the step S501, if the water supply temperature T is predicted_{For supplying to}Temperature T of return water_{Chinese character hui}If the temperature difference is less than or equal to the preset temperature difference, S503 is performed: the second bypass valve 171 is controlled to close or reduce the opening degree of the second bypass valve 171.

Based on the above step S502 or S503, S504: based on the parameter deviation value being greater than zero and the absolute value of the parameter deviation value being greater than the preset deviation value, the temperature of the tail end of the boiler is reduced by at least one of opening the first bypass valve 161 and increasing the opening of the first bypass valve 161 to reduce the predicted feedwater temperature T_{For supplying to}So that the supply water temperature T is predicted_{For supplying to}According with the target water supply temperature.

Or S505: based on the parameter deviation value being less than zero and the absolute value of the parameter deviation value being greater than the preset deviation value, the boiler is heated by at least one of closing the first bypass valve and reducing the opening degree of the first bypass valve to raise the predicted supply water temperature T_{For supplying to}So that the supply water temperature T is predicted_{For supplying to}According with the target water supply temperature.

Fig. 12 is a schematic view of a regulating device of a boiler system according to an embodiment of the present disclosure.

The conditioning device 2 includes, but is not limited to, a first processor 201, a first memory 202, a first computer program 203 stored in the first memory 202 and executable on the first processor 201, and a first communicator 204. For example, the first computer program 203 is a regulation program of a boiler system. The first processor 201 executes the first computer program 203 to implement steps of the regulation method of the boiler system, such as steps S101 to S103 shown in fig. 2, steps S1021 to S1022 shown in fig. 3, steps S1031 to S1032 shown in fig. 4, steps S201 to S203 shown in fig. 5, steps S301 to S303 shown in fig. 7, steps S401 to S403 shown in fig. 10, and steps S501 to S505 shown in fig. 11.

Illustratively, the first computer program 203 may be partitioned into one or more modules/units, which are stored in the first memory 202 and executed by the first processor 201 to complete the present application. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the first computer program 203 in the regulation device 2.

It will be understood by those skilled in the art that the schematic diagram is merely an example of the control device 2, and does not constitute a limitation of the control device 2, and may include more or less components than those shown, or combine some components, or different components, for example, the control device 2 may further include an input and output device, a network access device, a bus, etc.

The first Processor 201 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the first processor 201 may be any conventional processor or the like, and the first processor 201 is the control center of the control device 2, and various interfaces and lines are used to connect various parts of the whole control device 2.

The first memory 202 may be used to store a first computer program 203 and/or modules/units, and the first processor 201 may implement various functions of the regulating device 2 by running or executing the computer program and/or modules/units stored in the first memory 202 and calling data stored in the first memory 202. The first memory 202 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the manipulation device 2, and the like. In addition, the first memory 202 may include volatile and non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other storage device. The first communicator 204 is communicatively connected to a communication module on the boiler 10 and coupled to the first processor 201 and the first memory 202 for obtaining target heating parameters and real-time operation parameters of the boiler 10.

Fig. 13 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.

The electronic device 3 may be a personal computer, a server, or the like. The electronic device 3 comprises, but is not limited to, a second processor 301, a second memory 302, a second computer program 303 stored in the second memory 302 and executable on the second processor 301. For example, the second computer program 303 is a regulation program of a boiler system. When the second processor 301 executes the second computer program 303, steps in the regulation and control method of the boiler system are implemented, for example, steps S101 to S103 shown in fig. 2, steps S1021 to S1022 shown in fig. 3, steps S1031 to S1032 shown in fig. 4, steps S201 to S203 shown in fig. 5, steps S301 to S303 shown in fig. 7, steps S401 to S403 shown in fig. 9, and steps S501 to S505 shown in fig. 11.

Illustratively, the second computer program 303 may be divided into one or more modules/units, which are stored in the second memory 302 and executed by the second processor 301. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, the instruction segments being used for describing the execution process of the second computer program 303 in the electronic device 3.

It will be appreciated by a person skilled in the art that the schematic diagram is merely an example of the electronic apparatus 3 and does not constitute a limitation of the electronic apparatus 3, and may comprise more or less components than those shown, or combine some components, or different components, e.g. the electronic apparatus 3 may further comprise input and output devices, network access devices, buses, etc.

The second Processor 301 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the second processor 301 may be any conventional processor or the like, the second processor 301 being the control center of the electronic device 3, and various interfaces and lines connecting the various parts of the whole electronic device 3.

The second memory 302 may be used to store a second computer program 303 and/or modules/units, and the second processor 301 implements various functions of the electronic device 3 by running or executing the computer program and/or modules/units stored in the second memory 302, and invoking data stored in the second memory 302. The second memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, application programs (such as a sound playing function, an image playing function, etc.) required by at least one function, and the like; the storage data area may store data created according to use of the electronic apparatus 3, and the like. In addition, the second memory 302 may include volatile and non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other storage device.

Fig. 14 is a flowchart of a method for establishing a regulation model of a boiler system according to an embodiment of the present application. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs.

S601, acquiring parameter data of the boiler system.

In one embodiment, the parametric data includes historical operating data and historical environmental data of the boiler 10. Historical operating data includes, but is not limited to, boiler load, fan frequency, target feed water temperature, start-up temperature, shut-down temperature, outlet water temperature, boiler return water temperature, main pipe feed water temperature. Historical environmental data includes, but is not limited to, outside air temperature, outside air humidity, and outside air enthalpy.

S602, preprocessing the parameter data to obtain a training data set.

Referring to fig. 15, in one embodiment, the preprocessing of the parameter data to obtain the training data set includes:

and S6021, classifying the parameter data to obtain at least one group of class data.

In one embodiment, the parameter data may be historical data of the boiler or data collected by the boiler over a period of time. The name of each parameter data is a group of category data. For example, the temperatures in the historical data or the collected data are classified into a target water supply temperature, a start temperature, a blow-out temperature, a water outlet temperature, a boiler return temperature, a main pipe water supply temperature, and an outside air temperature, the humidity in the historical data or the collected data is classified into an outside air humidity, the enthalpy value in the historical data or the collected data is classified into an outside air enthalpy value, the percentage in the historical data or the collected data is classified into a boiler load, and the frequency in the historical data or the collected data is classified into a fan frequency.

And S6022, determining the variance value of each group of category data.

In one embodiment, determining the variance value for each set of category data comprises: calculating the average value of each group of category data, and calculating the variance value of each group of category data based on the average value.

And S6023, forming a training data set based on the class data with the variance value meeting the preset threshold value.

In one embodiment, forming the training data set based on the category data whose variance value satisfies the preset threshold includes: and determining the class data with the variance value larger than the preset threshold value as training data or test data in the training data set.

Referring to fig. 16, in another embodiment, the preprocessing the parameter data to obtain the training data set includes:

and S6024, acquiring target heating parameters of the boiler.

In an embodiment, the target heating parameter is a target supply water temperature.

S6025, determining a correlation coefficient between the parameter data and the target heating parameter of the boiler.

In an embodiment, determining the correlation coefficient between the parameter data and the target heating parameter of the boiler comprises: and calculating a Pearson correlation coefficient r between the parameter data of each category and the target heating parameter, wherein the calculation formula is as follows:

in the above calculation formula, X is parameter data, and Y is a target heating parameter.

In an embodiment, determining the correlation coefficient between the parameter data and the target heating parameter of the boiler further comprises: the significance P-value of the pearson correlation coefficient r between the parameter data of each class and the target heating parameter is calculated.

And S6026, forming a training data set based on the parameter data of which the correlation coefficient with the target heat supply parameter of the boiler meets the preset requirement.

In an embodiment, the forming of the training data set based on parameter data having a correlation coefficient with a target heating parameter of the boiler satisfying a preset requirement comprises: the parameter data with the significance P value smaller than or equal to the threshold value are determined, the parameter data of the preset number of categories are selected from the parameter data with the significance P value smaller than or equal to the threshold value, and the parameter data of the preset number of categories are determined as the training data in the training data set. Optionally, the threshold is 0.05 and the preset number is 5.

And S603, obtaining a regulation and control model of the boiler system based on the training data set and the initial data model.

In an embodiment, the training data set includes training data and test data. For example, each set of input data and output data is a set of training data or a set of test data, and 80% of the training data set may be used as training data and 20% may be used as test data.

In one embodiment, obtaining a regulatory model of the boiler system based on the training data set and the initial data model comprises: and training the initial data model by adopting the training data, and testing the trained initial data model by adopting the test data to obtain a regulation and control model of the boiler system. Optionally, the initial data model comprises at least one of a support vector machine model, a random forest model, a gradient boosting decision tree algorithm model, and a ridge regression model.

In an embodiment, the step of testing the trained initial data model by using the test data to obtain the regulation and control model of the boiler system includes: inputting test data into the trained initial data model to obtain a predicted value; calculating the error of the predicted value based on the predicted value and the true value in the test data; and determining the trained initial model as a regulation and control model of the boiler system, wherein the error of the predicted value obtained based on the trained initial data model is less than or equal to a preset value.

In one embodiment, each set of test data includes input data and output data, the input data is parameter data other than the actual water supply temperature, and the output data is the actual water supply temperature, i.e., the actual value in the test data. Inputting the input data of each group of test data into the initial data model to obtain a predicted value (predicted water supply temperature), and calculating a prediction error based on the predicted value and the true value of each group of test data. Wherein the error k is | predicted value-true value |/| true value |. Optionally, the preset value is 3%. And if the error is less than or equal to the preset value, determining the trained initial model as the regulation and control model of the boiler system.

In the above embodiment, the training data and the test data are input into any one of a support vector machine model, a random forest model, a gradient boosting decision tree algorithm model, and a ridge regression model to establish a regulation model of the boiler system. In another embodiment, the training data and the test data may be input into a plurality of support vector machine models, random forest models, gradient boosting decision tree algorithm models, and ridge regression models to establish a plurality of regulation models of the boiler system, and then the optimal regulation model may be determined from the plurality of regulation models.

In another embodiment, after establishing the plurality of regulation models of the boiler system, obtaining the regulation model of the boiler system based on the training data set and the initial data model further comprises: and calculating an evaluation index of the trained initial data model, wherein the evaluation index comprises at least one of a decision coefficient, a mean square error and a mean absolute error, and determining an optimal data model in the trained initial data model based on the evaluation index to obtain a regulation and control model of the boiler system.

In another embodiment, the predicted values of the trained initial data model are assumed

True value y ═ y₁,y₂,…,y_n}. The predicted values and the actual values of the initial data model are generated by inputting test data in the training data set into the initial data model and/or by inputting new test data into the initial data model.

Determining the coefficient R²The calculation formula of (c) is:

determining an optimal data model in the trained initial data model based on the evaluation index to obtain a regulation and control model of the boiler system, wherein the regulation and control model comprises the following steps: and determining the data model with the maximum decision coefficient as the optimal data model. As shown in fig. 17, the decision coefficient (0.988585) of the gradient boost decision tree algorithm model XGBoost is the largest, so that the trained gradient boost decision tree algorithm model is determined to be the optimal data model, that is, the regulation and control model of the boiler system is the trained gradient boost decision tree algorithm model.

The mean square error MSE is calculated as:

determining an optimal data model in the trained initial data model based on the evaluation index to obtain a regulation and control model of the boiler system, wherein the regulation and control model comprises the following steps: and determining the data model with the minimum mean square error as an optimal data model. As shown in fig. 17, the mean square error (0.198888) of the gradient boost decision tree algorithm model XGBoost is the smallest, so that the trained gradient boost decision tree algorithm model is determined to be the optimal data model, that is, the regulation and control model of the boiler system is the trained gradient boost decision tree algorithm model.

The average absolute error MAE is calculated as:

determining an optimal data model in the trained initial data model based on the evaluation index to obtain a regulation and control model of the boiler system, wherein the regulation and control model comprises the following steps: and determining the data model with the minimum average absolute error as the optimal data model. As shown in fig. 18, the mean absolute error (0.274123) of the support vector machine model SVR is minimum, and therefore, the trained support vector machine model is determined to be the optimal data model, that is, the regulation model of the boiler system is the trained support vector machine model.

Fig. 18 is a schematic diagram of an apparatus for establishing a regulation and control model of a boiler system according to an embodiment of the present disclosure.

The establishing means 4 comprises, but is not limited to, a third processor 401, a third memory 402, a third computer program 403 stored in the third memory 402 and executable on the third processor 401, and a third communicator 404. For example, the third computer program 403 is a build program of a regulatory model. The third processor 401 implements steps in the method of establishing a regulation model of a boiler system, such as steps S601 to S603 shown in fig. 14 and steps S6021 to S6026 shown in fig. 15 to 16, when executing the third computer program 403.

Illustratively, the third computer program 403 may be partitioned into one or more modules/units, which are stored in the third memory 402 and executed by the third processor 401 to complete the present application. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, the instruction segments being used for describing the execution process of the third computer program 403 in the establishing device 4.

It will be appreciated by a person skilled in the art that the schematic diagram is merely an example of the establishing means 4, and does not constitute a limitation of the establishing means 4, and may comprise more or less components than those shown, or some components may be combined, or different components, for example, the establishing means 4 may further comprise an input-output device, a network access device, a bus, etc.

The third processor 401 may be a central processing unit, but may also be other general purpose processors, digital signal processors, application specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the third processor 401 may be any conventional processor or the like, the third processor 401 being the control center of the set-up device 4, the various parts of the entire set-up device 4 being connected by various interfaces and lines.

The third memory 402 may be used for storing a third computer program 403 and/or modules/units, and the third processor 401 may be adapted to perform the various functions of the establishing means 4 by running or executing the computer program and/or modules/units stored in the third memory 402 and by invoking data stored in the third memory 402. The third memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the establishing means 4, and the like. In addition, the third memory 402 may include volatile and non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card, a secure digital card, a flash memory card, at least one magnetic disk storage device, a flash memory device, or other storage devices. The third communicator 404 is communicatively coupled to a communication module on the boiler 10 and to the third processor 401 and the third memory 402 for obtaining operational data and environmental data of the boiler 10.

Fig. 19 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.

The electronic device 5 may be a personal computer, a server, or the like. The electronic device 5 comprises, but is not limited to, a fourth processor 501, a fourth memory 502, a fourth computer program 503 stored in the fourth memory 502 and executable on the fourth processor 501. For example, the fourth computer program 503 is a building program of a regulation model. The fourth processor 501 implements the steps in the method of establishing a regulation model of a boiler system, such as steps S601 to S603 shown in fig. 14 and steps S6021 to S6026 shown in fig. 15 to 16, when executing the fourth computer program 503.

Illustratively, the fourth computer program 503 may be partitioned into one or more modules/units, which are stored in the fourth memory 502 and executed by the fourth processor 501 to accomplish the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, the instruction segments being used for describing the execution process of the fourth computer program 503 in the electronic device 5.

It will be appreciated by those skilled in the art that the schematic diagram is merely an example of the electronic apparatus 5 and does not constitute a limitation of the electronic apparatus 5, and may include more or less components than those shown, or combine certain components, or different components, for example, the electronic apparatus 5 may further include an input output device, a network access device, a bus, etc.

The fourth processor 501 may be a central processing unit, and may also be other general purpose processors, digital signal processors, application specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. The general purpose processor may be a microprocessor or the fourth processor 501 may be any conventional processor or the like, and the fourth processor 501 is a control center of the electronic device 5 and connects various parts of the whole electronic device 5 by using various interfaces and lines.

The fourth memory 502 may be used to store a fourth computer program 503 and/or modules/units, and the fourth processor 501 may implement various functions of the electronic device 5 by running or executing the computer program and/or modules/units stored in the fourth memory 502, as well as invoking data stored in the fourth memory 502. The fourth memory 502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the electronic device 5, and the like. In addition, the fourth memory 502 may include volatile and non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card, a secure digital card, a flash memory card, at least one magnetic disk storage device, a flash memory device, or other storage devices.

The integrated modules/units of the

electronic devices

3, 5 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the processes in the methods of the embodiments described above may be implemented by a computer program instructing related hardware, and the computer program may be stored in a computer readable storage medium, and when executed by a processor, the computer program may implement the steps of the embodiments of the methods described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer memory, read only memory, random access memory.

The boiler system regulating and controlling method, the model establishing method, the related equipment and the medium can automatically regulate the operation parameters of the boiler to control the water supply temperature of the boiler, so that the predicted water supply temperature of the boiler accords with the target water supply temperature, the increase of fuel consumption and water waste caused by overhigh water temperature are avoided, the energy consumption is reduced, the energy efficiency is improved, the energy conservation and environmental protection are facilitated, the carbon neutralization and carbon peak reaching concepts are met, and the situation that the heat supply requirement cannot be met due to overlow water temperature is avoided.

It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. Several units or means recited in the apparatus claims may be implemented by one and the same item or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.

Although the present application has been described in detail with reference to preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present application.

Claims

1. A method of regulating a boiler system, the method comprising:

2. The method of claim 1, wherein: the real-time operation parameters comprise at least one of furnace shutdown temperature, furnace start temperature, water outlet temperature, water return temperature, outside air enthalpy value, outside air temperature, outside air humidity and real-time water supply temperature of the boiler.

3. A method of regulating according to claim 2, wherein said regulating the boiler system in dependence of the predicted heating parameter and the target heating parameter comprises:

and regulating and controlling the operation parameters of the boiler according to the predicted heat supply parameters and the target heat supply parameters.

4. The method of claim 3, wherein: the operation parameters comprise the start-up temperature, the blow-out temperature and the start-up and stop states of the boiler.

5. The method of claim 4, further comprising:

controlling the boiler to be shut down based on the fact that the effluent temperature is higher than the shutdown temperature;

controlling the boiler to work based on the outlet water temperature being greater than the starting temperature and less than the blowing-out temperature; or

And controlling the boiler to work based on the fact that the outlet water temperature is smaller than the boiler starting temperature.

6. The method of claim 4, wherein: the target heating parameter comprises a target water supply temperature, and the predicted heating parameter comprises a predicted water supply temperature.

7. A regulation method according to claim 6, wherein the regulating of the operational parameters of the boiler in dependence on the predicted heating parameter and the target heating parameter comprises:

determining a parameter deviation value according to the predicted heat supply parameter and the target heat supply parameter;

and regulating and controlling the operation parameters of the boiler based on the parameter deviation value and a preset deviation value.

8. The method of regulating as defined in claim 7, wherein the regulating the operating parameter of the boiler based on the parameter deviation value and a preset deviation value comprises:

based on the parameter deviation value being greater than zero and the absolute value of the parameter deviation value being greater than the preset deviation value, and the boiler not blowing out, reducing the blowing out temperature; or

And based on the fact that the parameter deviation value is smaller than zero and the absolute value of the parameter deviation value is larger than the preset deviation value, the boiler is shut down, and the boiler starting temperature is increased.

9. A control method according to claim 1, wherein said deriving predicted heating parameters of the boiler based on real-time operating parameters and a control model of the boiler comprises:

integrating the acquired real-time operation parameters to obtain input data;

and obtaining the predicted heat supply parameters of the boiler based on the input data and the regulation and control model.

10. The method of claim 1, wherein: the regulation and control model is a regression algorithm model.

11. A regulating device of a boiler system, characterized in that the regulating device comprises:

a first processor coupled to the first communicator; and

a first memory having instructions stored therein, the instructions being loaded by the first processor and performing a method of regulation of a boiler system according to any one of claims 1 to 10.

12. An electronic device, comprising:

a second processor; and

a second memory having instructions stored therein, the instructions being loaded by the second processor and performing the method of regulation of a boiler system according to any one of claims 1 to 10.

13. A computer readable storage medium having stored thereon at least one computer instruction, wherein the instruction is loaded by a second processor and performs a method of regulating a boiler system according to any one of claims 1 to 10.

14. A method for establishing a regulation and control model of a boiler system is characterized by comprising the following steps:

acquiring parameter data of the boiler system;

preprocessing the parameter data to obtain a training data set;

15. The method of establishing according to claim 14, wherein: the training data set comprises training data and test data, and the obtaining of the regulation and control model of the boiler system based on the training data set and the initial data model comprises the following steps:

training the initial data model by adopting the training data;

and testing the trained initial data model by using the test data to obtain a regulation and control model of the boiler system.

16. The method of establishing as claimed in claim 15, wherein: the initial data model comprises at least one of a support vector machine model, a random forest model, a gradient boosting decision tree algorithm model and a ridge regression model.

17. The method of creating as claimed in claim 16, wherein said testing said trained initial data model using said test data to obtain a regulatory model of said boiler system comprises:

inputting the test data into the trained initial data model to obtain a predicted value;

calculating an error of the predicted value based on the predicted value and a true value in the test data;

and determining the trained initial model as a regulation and control model of the boiler system, wherein the error of the predicted value obtained based on the trained initial data model is less than or equal to a preset value.

18. The method of building of claim 17, wherein the deriving a regulatory model of the boiler system based on the training data set and an initial data model further comprises:

calculating an evaluation index of the trained initial data model, wherein the evaluation index comprises at least one of a decision coefficient, a mean square error and a mean absolute error;

and determining the trained initial data model based on the evaluation index to obtain a regulation and control model of the boiler system.

19. The method of establishing according to claim 14, wherein: the parametric data includes operational data and environmental data of the boiler.

20. The method of claim 14, wherein said preprocessing said parametric data to obtain a training data set comprises:

classifying the parameter data to obtain at least one group of class data;

determining a variance value of each group of the category data;

forming the training data set based on the category data for which the variance value satisfies a preset threshold.

21. The method of claim 14, wherein preprocessing the parameter data to obtain a training data set comprises:

acquiring target heat supply parameters of the boiler;

determining a correlation coefficient between the parameter data and a target heating parameter of the boiler;

forming the training data set based on the parameter data for which a correlation coefficient with a target heating parameter of the boiler meets a preset requirement.

22. A method of set-up according to claim 20 or 21, wherein said preprocessing said parameter data to obtain a training data set further comprises:

establishing a time reference value, and performing data derivation on the training data set based on the time reference value.

23. An apparatus for building a regulation model of a boiler system, the apparatus comprising:

a third communicator to obtain data;

a third processor coupled to the third communicator; and

a third memory having instructions stored therein, the instructions being loaded by the third processor and performing the method of building a regulatory model of a boiler system as defined in any one of claims 14 to 22.

24. An electronic device, characterized in that the electronic device comprises a fourth processor and a fourth memory, the fourth memory is used for storing instructions, and the fourth processor is used for calling the instructions in the fourth memory, so that the electronic device executes the method for establishing the regulation model of the boiler system according to any one of the claims 14 to 22.

25. A computer readable storage medium storing computer readable instructions, wherein the computer readable instructions, when executed by a fourth processor, implement a method of building a regulation model of a boiler system according to any one of claims 14 to 22.