阅读说明：本技术 恒温供热自控循环动态平衡控制系统、方法、数据处理终端 (Constant-temperature heat supply automatic control circulation dynamic balance control system and method and data processing terminal ) 是由 杨金钢 刘正鸿 王浩 陈朝政 孙金龙 宋丽娟 于 2021-08-02 设计创作，主要内容包括：本发明属于恒温供热技术领域,公开了一种恒温供热自控循环动态平衡控制系统、方法、数据处理终端,进行能效计算、能源计算、自适应控制,建立能源管理AI控制模型与真实数据反馈的闭环控制,利用实际的运行数据结果反馈,不断优化能源管理AI控制模型,使能源管理AI控制模型真实。本发明合理分配各机组供热单元的各压力等级供热负荷的能力,避免用户侧供热参数过大波动,影响用户安全,达到减人增效的目的；对供热单元的经济性进行实时计算,热调中心根据供热单元的经济性排名进行经济调度,保证供热效益的最大化,达到了节能减排的效果；同时供热目标的供热温度不会因供水温度的变化而产生巨大的波动,保证供暖了质量。(The invention belongs to the technical field of constant-temperature heat supply, and discloses a constant-temperature heat supply self-control circulation dynamic balance control system, a method and a data processing terminal, which are used for carrying out energy efficiency calculation, energy calculation and self-adaptive control, establishing closed-loop control of an energy management AI control model and real data feedback, and continuously optimizing the energy management AI control model by utilizing actual operation data result feedback to ensure that the energy management AI control model is real. The invention reasonably distributes the heat supply load capacity of each pressure grade of each unit heat supply unit, avoids the influence on the user safety caused by the overlarge fluctuation of the heat supply parameters at the user side and achieves the purposes of reducing the number of people and improving the efficiency; the economy of the heat supply unit is calculated in real time, and the heat regulation center carries out economic dispatching according to the economy ranking of the heat supply unit, so that the maximization of heat supply benefit is ensured, and the effects of energy conservation and emission reduction are achieved; meanwhile, the heat supply temperature of the heat supply target cannot generate huge fluctuation due to the change of the water supply temperature, and the heat supply quality is ensured.)

1. A constant-temperature heat supply automatic control circulation dynamic balance control method is characterized by comprising the following steps: energy efficiency calculation: through energy consumption meter measurement, the calculation is jointly carried out according to the air supply temperature, the air return temperature, the air supply volume, the water valve opening, the water valve KVS value and the water channel temperature difference; calculating the energy consumption of the air conditioning unit; performing error elimination calculation every 15-30 minutes, and storing the air conditioner energy consumption with the error removed into a database for energy consumption statistical analysis and regional energy consumption calculation;

energy calculation: calculating energy consumption energy efficiency once every 15-30 minutes, and calculating regional energy consumption; giving an energy use condition report, use time and charging information according to the monthly degree;

self-adaptive control: establishing an energy management AI control model, establishing an artificial intelligent energy management robot, automatically analyzing working condition data, and selecting a proper energy management AI control model; the energy management AI control model includes: standard AI control models of spring-autumn, summer and winter working conditions; according to actual operation data, a summer standard AI control model is further optimized to control the humidity and the temperature;

and establishing closed-loop control of the energy management AI control model and real data feedback, and continuously optimizing the energy management AI control model by utilizing actual operation data result feedback to ensure that the energy management AI control model is real.

2. The automatic control loop dynamic balance control method for constant temperature heating according to claim 1, wherein the energy management AI control model comprises an AI controller; the AI controller includes:

g(s) is an actual control object, Gm(s) is a mathematical model of a process object, C(s) is an AI controller, the control quantity output of the AI controller is Y(s), and R(s) and D(s) are input and interference signals of a control system respectively; d(s) is the bias feedback signal of the system process output Y(s) and the model output ym(s).

3. The automatic control circulation dynamic balance control method for constant temperature heat supply according to claim 1, characterized in that the AI control structure adopts feedforward closed-loop control compensation method to construct a closed-loop control network model in the closed-loop control link, and the closed-loop control network model comprises G₁₁……G₃₃As a master model of a variable air volume air conditioning system, C₁₁……C₃₃Function of both AI controller and closed-loop control controller, G_m11……G_m33For object model estimation, D₁(s)、D₂(s)、D₃(s) is a given value of the Lubang filter, F₁(s)、F₂(s)、F₃(s) model mismatch lupont filter;

the constructed closed-loop control network model adopts a multi-input multi-output internal model closed-loop control method to carry out closed-loop control, and a feedforward series diagonal closed-loop control array is combined with an internal model matrix of the controller, so that the controller executes the calculation functions of a closed-loop control compensator and an AI controller;

note gm(s) = G_-(s) G₊(s), Gm₊(s) is the part containing time lag and unstable zero in the closed-loop control network model, Gm_-(s) is the minimum phase part of the closed-loop control network model;

the coupling of a control loop is removed through internal model closed-loop control of the controller, and regulation and control of the energy management AI control model in energy efficiency calculation and energy calculation are realized.

4. The method for controlling the automatic control cycle dynamic balance of the constant-temperature heat supply according to claim 1, wherein the closed-loop control model is as follows:

the feedback signal is: d(s) =；

The AI controller is represented as:

。

5. the utility model provides a constant temperature heat supply automatic control circulation dynamic balance control system which characterized in that, constant temperature heat supply automatic control circulation dynamic balance control system includes:

the energy efficiency calculation module is used for measuring through an energy consumption meter and jointly participating in calculation according to the air supply temperature, the air return temperature, the air supply quantity, the opening degree of a water valve, the KVS value and the temperature difference of a water channel; calculating the energy consumption of the air conditioning unit; performing error elimination calculation every 15-30 minutes, and storing the air conditioner energy consumption with the error removed into a database for energy consumption statistical analysis and regional energy consumption calculation;

the energy calculating module is used for calculating energy consumption efficiency once every 15-30 minutes and calculating regional energy consumption; giving an energy use condition report, use time and charging information according to the monthly degree;

the self-adaptive control module is used for establishing an energy management AI control model, establishing an artificial intelligent energy management robot, automatically analyzing working condition data and selecting a proper energy management AI control model; the energy management AI control model includes: standard AI control models of spring-autumn, summer and winter working conditions; according to actual operation data, a summer standard AI control model is further optimized to control the humidity and the temperature;

and the control model optimization module is used for establishing closed-loop control of the energy management AI control model and real data feedback, and continuously optimizing the energy management AI control model by utilizing actual operation data result feedback so as to ensure that the energy management AI control model is real.

6. A constant temperature heating self-control cycle dynamic balance control system as recited in claim 5,

the constant temperature heat supply automatic control circulation dynamic balance control system further comprises:

the temperature detection module is connected with the central control module and used for detecting the heat supply temperature through the temperature detector;

the temperature adjusting module is connected with the central control module and used for adjusting the heat supply temperature;

the balance module is connected with the central control module and is used for dynamically balancing the constant-temperature heat supply self-control circulation;

the heat load prediction module is connected with the central control module and used for predicting the heat supply load;

load adjusting module is connected with central control module for adjust gas boiler load parameter for the heat supply, include:

acquiring estimated total heat supply quantity of all heat exchange stations corresponding to a heat supply target in a heat supply system in a future time period; acquiring estimated total heat supply heat and actual total heat supply heat of all heat exchange stations corresponding to heat supply targets in the past time period; wherein, the estimation formula of the total heat supply quantity is as follows:

Q_{estimation of}＝∑Q_iη；

Wherein Q is estimated as the estimated total heat supply quantity; q_iThe estimated heat supply quantity of the heat supply target corresponding to the ith heat exchange station is obtained; eta is the heat exchange efficiency of the heat exchange station;

the calculation formula of the estimated heat supply quantity of each heat exchange station corresponding to the heat supply target in the heat supply system is as follows:

；

q is estimated heat supply quantity of each heat exchange station corresponding to a heat supply target in the heat supply system; q_mThe building where the heating target is located is designed to heat; s is a heating area of the heating target; t is t_n1A specified heating temperature for the heating target; t is t_wIs the forecasted average air temperature over the time period; t is t_dIs the required minimum heating average temperature;

the estimated total heat supply quantity in the future time period, the estimated total heat supply quantity in the past time period and the actual total heat supply quantity are integrated to obtain boiler load parameters in the future time period; the future time period and the past time period are the same in duration; repeating the steps and updating the boiler load parameter;

wherein, the calculation formula of the actual total heat supply is as follows:

Q_{practice of}＝∑Q_jη；

Wherein Qactual is the actual total heat supplied; q_jActual heat supply heat of a corresponding heat supply target for the jth heat exchange station; eta is saidHeat exchange efficiency of the thermal station.

7. The system of claim 6, further comprising:

the central control module is connected with the temperature detection module, the temperature regulation module, the balance module, the thermal load prediction module, the load regulation module, the heat supply scheduling module, the charging module and the display module and is used for controlling the normal work of each module;

the heat supply scheduling module is connected with the central control module and is used for collaborating heat supply safety and economic scheduling based on the multi-unit heat supply unit;

the charging module is connected with the central control module and is used for charging the heat supply use through a charging program;

and the display module is connected with the central control module and used for displaying the temperature, the prediction result and the charging information through a display.

8. The system of claim 6, wherein in the load adjusting module, the calculation formula of the actual heat supply quantity of each heat exchange station in the heat supply system corresponding to the heat supply target is as follows:

；

q is the actual heat supply heat quantity of each heat exchange station corresponding to a heat supply target in the heat supply system; q_mThe building where the heating target is located is designed to heat; s is a heating area of the heating target; t is t_n2A specified heating temperature for the heating target; t is t_wIs the actual average air temperature over the time period; t is t_dIs the required minimum heating average temperature;

in the load adjusting module, the estimated total heat supply quantity in the future time period, the estimated total heat supply quantity in the past time period and the actual total heat supply quantity are integrated, and the boiler load parameter in the future time period is obtained according to the following formula:

；

wherein Q' is a boiler load parameter over the future time period; t is the time length in the future time period and the past time period; q_{T1 prediction}Estimating total heat of heat supply for the future time period; q_{T2 prediction}Estimating total heat of heat supply for the past time period; q_{T2 practice}(ii) actual total heat supplied for said past period of time; eta is the heat exchange efficiency of the heat exchange station;

in the heat supply scheduling module, the safe and economic scheduling of heat supply based on multi-unit heat supply unit cooperation comprises:

calculating the heat supply demand of a user with a certain heat supply pressure level; the heat regulation center calculates the total heat supply amount required by all the heat supply unit sets according to the heat supply demand of the user side;

the method comprises the following steps that a thermal regulation center calculates the economy of units under jurisdiction in real time and analyzes the heat supply economy of each unit;

distributing heat supply load; the central heating instruction of the heat regulation is distributed to each heating unit through a modbus communication protocol, and the heating units respond to the central heating instruction in time; each heat supply unit feeds back the heat regulation center regulation effect, and the heat regulation center monitors the balance between the flow sum of each heat supply unit and the flow demand of the side stream of the user.

9. The system of claim 8, wherein the method for calculating the heating demand of the user with a certain heating pressure level comprises:

the steam pressure P of the main pipe for supplying heat from the user side₁And the flow rate of the heating steam Q₁Uploading to a thermal regulation center;

real-time detection of heat supply main pipe steam pressure P by heat regulation center₁And the flow rate of the heating steam Q₁Calculating the demand condition of the user side for the heat supply steam through the functional relation;

wherein the content of the first and second substances,the steam pressure P of the user side heat supply main pipe₁And the flow rate of the heating steam Q₁The functional relationship reflecting the total amount of heat supply steam required by the user side is as follows:

f(x)=(K_P*ERROR)+K_iintegral ^ ERRORdt + feedforward input;

wherein, f (x) is the total quantity of heat supply demand of the user side, and the variable ERROR is the steam pressure P of the heat supply main pipe of the user side₁With real-time variation of, feed-forward input for, the flow Q of the heating steam₁Real-time variation of (2), proportionality coefficient K_PAnd integral coefficient K_iSetting according to the inertia of the heating system;

the distributed heating load comprising:

distributing the heat supply load of each unit according to the heat supply economical ranking of each unit on the premise of ensuring the total safety;

the method comprises the following steps that the heat regulation center calculates the economical efficiency of units in charge in real time, and the analysis of the heat supply economical efficiency of each unit comprises the following steps:

respectively calculating the boiler efficiency and the steam turbine generator efficiency of each unit in real time:

η_boilerReal-time boiler evaporation rate (steam enthalpy-feed water enthalpy)/(fuel amount + fuel low heating value) = 100%;

η_{steam engine}=3600 actual power/[ steam flow rate (enthalpy drop of high pressure cylinder + enthalpy drop of intermediate pressure cylinder + enthalpy drop of low pressure cylinder)]；

Wherein eta is_GeneratorTaking 0.995, and the total efficiency of each unit is eta_Boiler*η_{Steam engine}*η_GeneratorComparing the efficiency of each unit to obtain a heat supply economical ranking;

the user side heat supply flow Q under the same pressure grade₁And the heat supply flow relationship between the heat supply units is as follows:

Q₁=K₁*q₁+K₂*q₂+……+K_i*q_i，K_i*q_i；

namely, the heat supply instruction distributed to the heat supply units of each unit;

wherein i is the number of heating units, which is determined byThe 'N-1 principle' of heat supply safety scheduling is ensured; the K is a flow distribution coefficient according to the heat supply economy of the unit, the principle is that the K coefficient of the unit with good economy is high, the K coefficient of the unit with poor economy is low, and the relation is as follows: (K)₁+K₂+……+K_i）/i=1。

10. A computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the method of constant temperature heating self-controlled loop dynamic balance control as claimed in any one of claims 1 to 4.

Technical Field

The invention belongs to the technical field of constant-temperature heat supply, and particularly relates to a constant-temperature heat supply automatic control circulation dynamic balance control system, a method and a data processing terminal.

Background

At present, the intermediate medium for transferring heat in the urban central heating system is also called as heat medium or heat carrying body. The heat supply medium widely adopted in the modern thermal engineering process is water, and because a large amount of water exists in nature and has large heat capacity, the heat exchange process can be operated in an economical and effective circulating mode. The urban central heating system also generally adopts water as a heating medium, takes the form of hot water or steam, carries heat from a heat source, and sends the heat to users through a heat supply network. The water pump drives the water to circulate, the flow speed of the water is about 1-2 m/s, and the conveying radius is more than 10 kilometers. The temperature of the supplied and returned water is determined according to the technical and economic comparison. When the central heating system in China calculates the temperature outside the heating room, the designed water supply temperature is 130 ℃ or 150 ℃ mostly, and the return water temperature is 70 ℃. When the outdoor temperature is higher than the calculated heating temperature, the medium temperature is usually reduced by adjusting, so that the heat loss of the pipeline in the medium conveying process can be reduced, low-pressure steam extraction of a heat supply unit is convenient to use, and the heat supply economic benefit of the thermal power plant is improved. However, in the existing constant-temperature heat supply automatic control cycle dynamic balance control system technology, the setting of the load of the heat supply gas-fired boiler is mainly determined by the experience of operators, and the setting method is mainly used for correspondingly adjusting the load of the boiler according to the real-time weather and temperature changes, so that the fluctuation of the load parameters of the boiler is overlarge, and the waste of resources is caused; meanwhile, as the heating pressure level in the heating system is high, the steam source port is complex, and the requirement on the heating stability is high, serious consequences can be generated when the heating flow at the user side is greatly changed or the heating unit is in abnormal states such as power failure, and the like, so that great pressure is brought to daily supervision and mode scheduling of operating personnel.

Through the above analysis, the problems and defects of the prior art are as follows:

(1) the setting of the load of the gas-fired boiler for heat supply in the existing constant-temperature heat supply automatic control circulation dynamic balance control system technology is mainly determined by the experience of operators, and the setting method is mainly used for correspondingly adjusting the load of the boiler according to the real-time weather and temperature changes, so that the fluctuation of the load parameters of the boiler is overlarge, and the waste of resources is caused.

(2) Because the heating pressure level in the heating system is many, the steam source mouth is complicated, and the heat supply stability requires highly, can produce more serious consequence when user side heat supply flow changes by a wide margin or the heating unit appears the anomaly such as disconnected supply, this has brought very big pressure for the daily prison dish of operation personnel, mode dispatch.

Disclosure of Invention

Aiming at the problems in the prior art, the invention provides a constant-temperature heat supply automatic control circulation dynamic balance control system, a constant-temperature heat supply automatic control circulation dynamic balance control method and a data processing terminal.

The invention is realized in this way, a constant temperature heat supply automatic control circulation dynamic balance control method, including: energy efficiency calculation: through energy consumption meter measurement, the calculation is jointly carried out according to the air supply temperature, the air return temperature, the air supply volume, the water valve opening, the water valve KVS value and the water channel temperature difference; calculating the energy consumption of the air conditioning unit; performing error elimination calculation every 15-30 minutes, and storing the air conditioner energy consumption with the error removed into a database for energy consumption statistical analysis and regional energy consumption calculation;

energy calculation: calculating energy consumption energy efficiency once every 15-30 minutes, and calculating regional energy consumption; giving an energy use condition report, use time and charging information according to the monthly degree;

self-adaptive control: establishing an energy management AI control model, establishing an artificial intelligent energy management robot, automatically analyzing working condition data, and selecting a proper energy management AI control model; the energy management AI control model includes: standard AI control models of spring-autumn, summer and winter working conditions; according to actual operation data, a summer standard AI control model is further optimized to control the humidity and the temperature;

and establishing closed-loop control of the energy management AI control model and real data feedback, and continuously optimizing the energy management AI control model by utilizing actual operation data result feedback to ensure that the energy management AI control model is real.

Further, the energy management AI control model includes an AI controller; the AI controller includes:

g(s) is an actual control object, Gm(s) is a mathematical model of a process object, C(s) is an AI controller, the control quantity output of the AI controller is Y(s), and R(s) and D(s) are input and interference signals of a control system respectively; d(s) is the bias feedback signal of the system process output Y(s) and the model output ym(s).

Further, in the closed-loop control link, the AI control structure adopts a feedforward closed-loop control compensation method to construct a closed-loop control network model, and the closed-loop control network model comprises G₁₁……G₃₃As a master model of a variable air volume air conditioning system, C₁₁……C₃₃Function of both AI controller and closed-loop control controller, G_m11……G_m33For object model estimation, D₁(s)、D₂(s)、D₃(s) is a given value of the Lubang filter, F₁(s)、F₂(s)、F₃(s) model mismatch lupont filter;

the constructed closed-loop control network model adopts a multi-input multi-output internal model closed-loop control method to carry out closed-loop control, and a feedforward series diagonal closed-loop control array is combined with an internal model matrix of the controller, so that the controller executes the calculation functions of a closed-loop control compensator and an AI controller;

note gm(s) = G_-(s) G₊(s), Gm₊(s) is a closed-loop control network model packetPart containing dead time and unstable zero, Gm_-(s) is the minimum phase part of the closed-loop control network model;

the coupling of a control loop is removed through internal model closed-loop control of the controller, and regulation and control of the energy management AI control model in energy efficiency calculation and energy calculation are realized.

Further, the closed-loop control model is:

the feedback signal is: d(s) =；

The AI controller is represented as:

。

another object of the present invention is to provide a constant temperature heat supply automatic control circulation dynamic balance control system, which comprises:

the energy efficiency calculation module is used for measuring through an energy consumption meter and jointly participating in calculation according to the air supply temperature, the air return temperature, the air supply quantity, the opening degree of a water valve, the KVS value and the temperature difference of a water channel; calculating the energy consumption of the air conditioning unit; performing error elimination calculation every 15-30 minutes, and storing the air conditioner energy consumption with the error removed into a database for energy consumption statistical analysis and regional energy consumption calculation;

the energy calculating module is used for calculating energy consumption efficiency once every 15-30 minutes and calculating regional energy consumption; giving an energy use condition report, use time and charging information according to the monthly degree;

the self-adaptive control module is used for establishing an energy management AI control model, establishing an artificial intelligent energy management robot, automatically analyzing working condition data and selecting a proper energy management AI control model; the energy management AI control model includes: standard AI control models of spring-autumn, summer and winter working conditions; according to actual operation data, a summer standard AI control model is further optimized to control the humidity and the temperature;

and the control model optimization module is used for establishing closed-loop control of the energy management AI control model and real data feedback, and continuously optimizing the energy management AI control model by utilizing actual operation data result feedback so as to ensure that the energy management AI control model is real.

Further, the constant temperature heat supply automatic control circulation dynamic balance control system still includes:

the temperature detection module is connected with the central control module and used for detecting the heat supply temperature through the temperature detector;

the temperature adjusting module is connected with the central control module and used for adjusting the heat supply temperature;

the balance module is connected with the central control module and is used for dynamically balancing the constant-temperature heat supply self-control circulation;

the heat load prediction module is connected with the central control module and used for predicting the heat supply load;

load adjusting module is connected with central control module for adjust gas boiler load parameter for the heat supply, include:

acquiring estimated total heat supply quantity of all heat exchange stations corresponding to a heat supply target in a heat supply system in a future time period; acquiring estimated total heat supply heat and actual total heat supply heat of all heat exchange stations corresponding to heat supply targets in the past time period; wherein, the estimation formula of the total heat supply quantity is as follows:

Q_{estimation of}＝∑Q_iη；

Wherein Q is estimated as the estimated total heat supply quantity; q_iThe estimated heat supply quantity of the heat supply target corresponding to the ith heat exchange station is obtained; eta is the heat exchange efficiency of the heat exchange station;

the calculation formula of the estimated heat supply quantity of each heat exchange station corresponding to the heat supply target in the heat supply system is as follows:

；

q is corresponding to each heat exchange station in the heat supply systemEstimating heat supply quantity of a heat supply target; q_mThe building where the heating target is located is designed to heat; s is a heating area of the heating target; t is t_n1A specified heating temperature for the heating target; t is t_wIs the forecasted average air temperature over the time period; t is t_dIs the required minimum heating average temperature;

the estimated total heat supply quantity in the future time period, the estimated total heat supply quantity in the past time period and the actual total heat supply quantity are integrated to obtain boiler load parameters in the future time period; the future time period and the past time period are the same in duration; repeating the steps and updating the boiler load parameter;

wherein, the calculation formula of the actual total heat supply is as follows:

Q_{practice of}＝∑Q_jη；

Wherein Qactual is the actual total heat supplied; q_jActual heat supply heat of a corresponding heat supply target for the jth heat exchange station; eta is the heat exchange efficiency of the heat exchange station.

Further, constant temperature heat supply automatic control circulation dynamic balance control system still includes:

the central control module is connected with the temperature detection module, the temperature regulation module, the balance module, the thermal load prediction module, the load regulation module, the heat supply scheduling module, the charging module and the display module and is used for controlling the normal work of each module;

the heat supply scheduling module is connected with the central control module and is used for collaborating heat supply safety and economic scheduling based on the multi-unit heat supply unit;

the charging module is connected with the central control module and is used for charging the heat supply use through a charging program;

and the display module is connected with the central control module and used for displaying the temperature, the prediction result and the charging information through a display.

Further, in the load adjustment module, a calculation formula of the actual heat supply amount of each heat exchange station in the heat supply system corresponding to the heat supply target is as follows:

；

q is the actual heat supply heat quantity of each heat exchange station corresponding to a heat supply target in the heat supply system; q_mThe building where the heating target is located is designed to heat; s is a heating area of the heating target; t is t_n2A specified heating temperature for the heating target; t is t_wIs the actual average air temperature over the time period; t is t_dIs the minimum required heating average temperature.

Further, in the load adjusting module, the estimated total heat supply amount in the future time period, the estimated total heat supply amount in the past time period and the actual total heat supply amount are integrated, and the boiler load parameter in the future time period is obtained according to the following formula:

；

wherein Q' is a boiler load parameter over the future time period; t is the time length in the future time period and the past time period; q_{T1 prediction}Estimating total heat of heat supply for the future time period; q_{T2 prediction}Estimating total heat of heat supply for the past time period; q_{T2 practice}(ii) actual total heat supplied for said past period of time; eta is the heat exchange efficiency of the heat exchange station.

Further, in the heat supply scheduling module, the safe and economic scheduling of heat supply based on multi-unit heat supply unit cooperation includes:

calculating the heat supply demand of a user with a certain heat supply pressure level; the heat regulation center calculates the total heat supply amount required by all the heat supply unit sets according to the heat supply demand of the user side;

the method comprises the following steps that a thermal regulation center calculates the economy of units under jurisdiction in real time and analyzes the heat supply economy of each unit;

distributing heat supply load; the central heating instruction of the heat regulation is distributed to each heating unit through a modbus communication protocol, and the heating units respond to the central heating instruction in time; each heat supply unit feeds back the heat regulation center regulation effect, and the heat regulation center monitors the balance between the flow sum of each heat supply unit and the flow demand of the side stream of the user.

Further, the method for calculating the heat supply demand of the user with a certain heat supply pressure level comprises the following steps:

the steam pressure P of the main pipe for supplying heat from the user side₁And the flow rate of the heating steam Q₁Uploading to a thermal regulation center;

real-time detection of heat supply main pipe steam pressure P by heat regulation center₁And the flow rate of the heating steam Q₁Calculating the demand condition of the user side for the heat supply steam through the functional relation;

wherein, the steam pressure P of the user side heat supply main pipe₁And the flow rate of the heating steam Q₁The functional relationship reflecting the total amount of heat supply steam required by the user side is as follows:

f(x)=(K_P*ERROR)+K_iintegral ^ ERRORdt + feedforward input;

wherein, f (x) is the total quantity of heat supply demand of the user side, and the variable ERROR is the steam pressure P of the heat supply main pipe of the user side₁With real-time variation of, feed-forward input for, the flow Q of the heating steam₁Real-time variation of (2), proportionality coefficient K_PAnd integral coefficient K_iAnd adjusting according to the inertia of the heating system.

Further, the distributing the heating load includes:

distributing the heat supply load of each unit according to the heat supply economical ranking of each unit on the premise of ensuring the total safety;

the method comprises the following steps that the heat regulation center calculates the economical efficiency of units in charge in real time, and the analysis of the heat supply economical efficiency of each unit comprises the following steps:

respectively calculating the boiler efficiency and the steam turbine generator efficiency of each unit in real time:

η_boilerReal-time boiler evaporation rate (steam enthalpy-feed water enthalpy)/(fuel amount + fuel low heating value) = 100%;

η_{steam engine}=3600 actual power/[ steam flow rate (enthalpy drop of high pressure cylinder + enthalpy drop of intermediate pressure cylinder + enthalpy drop of low pressure cylinder)]；

Wherein eta is_GeneratorTaking 0.995, and the total efficiency of each unit is eta_Boiler*η_{Steam engine}*η_GeneratorAnd comparing the efficiency of each unit to obtain the ranking of heat supply economy.

Further, the user side heat supply flow Q under the same pressure grade₁And the heat supply flow relationship between the heat supply units is as follows:

Q₁=K₁*q₁+K₂*q₂+……+K_i*q_i，K_i*q_i；

namely, the heat supply instruction distributed to the heat supply units of each unit;

wherein, the i is the number of the heat supply units and is determined by an 'N-1 principle' for ensuring heat supply safety scheduling; the K is a flow distribution coefficient according to the heat supply economy of the unit, the principle is that the K coefficient of the unit with good economy is high, the K coefficient of the unit with poor economy is low, and the relation is as follows: (K)₁+K₂+……+K_i）/i=1。

It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the constant temperature heating automatic control cycle dynamic balance control system when executed on an electronic device.

It is another object of the present invention to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the constant temperature heating auto-control cycle dynamic balance control system.

By combining all the technical schemes, the invention has the advantages and positive effects that: according to the constant-temperature heat supply automatic control circulation dynamic balance control system, the load adjusting module timely and automatically responds to the heat supply demand of the user side, the heat supply load capacity of each pressure grade of each unit heat supply unit is reasonably distributed, the phenomenon that the heat supply parameters of the user side are too large in fluctuation to influence the safety of users is avoided, and the purposes of reducing the number of people and improving the efficiency are achieved; the economy of the heat supply unit is calculated in real time, and the heat regulation center carries out economic dispatching according to the economy ranking of the heat supply unit, so that the maximization of heat supply benefit is ensured, and the effects of energy conservation and emission reduction are achieved; meanwhile, the heat supply scheduling module is used for predicting the heat supply quantity according to the heat supply target of the current period, predicting the heat supply quantity according to the heat supply target of the previous period and actually supplying the heat to obtain the boiler load parameter of the current period, and adjusting the water supply temperature of the boiler according to the boiler load parameter, so that the phenomenon that the boiler load parameter is adjusted to fluctuate too much according to the real-time temperature is avoided, and resources are saved. Meanwhile, the heat supply temperature of the heat supply target cannot generate huge fluctuation due to the change of the water supply temperature, and the heat supply quality is ensured.

The invention provides a constant-temperature heat supply automatic control circulation dynamic balance control method, which comprises the following steps: energy efficiency calculation: through energy consumption meter measurement, the calculation is jointly carried out according to the air supply temperature, the air return temperature, the air supply volume, the water valve opening, the water valve KVS value and the water channel temperature difference; calculating the energy consumption of the air conditioning unit; performing error elimination calculation every 15-30 minutes, and storing the air conditioner energy consumption with the error removed into a database for energy consumption statistical analysis and regional energy consumption calculation;

energy calculation: calculating energy consumption energy efficiency once every 15-30 minutes, and calculating regional energy consumption; giving an energy use condition report, use time and charging information according to the monthly degree;

self-adaptive control: establishing an energy management AI control model, establishing an artificial intelligent energy management robot, automatically analyzing working condition data, and selecting a proper energy management AI control model; the energy management AI control model includes: standard AI control models of spring-autumn, summer and winter working conditions; according to actual operation data, a summer standard AI control model is further optimized to control the humidity and the temperature;

and establishing closed-loop control of the energy management AI control model and real data feedback, and continuously optimizing the energy management AI control model by utilizing actual operation data result feedback to ensure that the energy management AI control model is real.

The energy conservation is realized through the scheme.

Drawings

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

Fig. 1 is a flow chart of a constant temperature heat supply automatic control cycle dynamic balance control method provided by an embodiment of the invention.

FIG. 2 is a block diagram of a constant temperature heating automatic control cycle dynamic balance control system according to an embodiment of the present invention;

in the figure: 1. a temperature detection module; 2. a central control module; 3. a temperature adjustment module; 4. a balancing module; 5. a thermal load prediction module; 6. a load adjustment module; 7. a heat supply scheduling module; 8. a charging module; 9. a display module; 10. an energy efficiency calculation module; 11. an energy source calculation module; 12. an adaptive control module; 13. and a control model optimizing module.

FIG. 3 is a flowchart of a method for adjusting load parameters of a heating gas boiler by a load adjustment module according to an embodiment of the present invention.

Fig. 4 is a flowchart of a method for collaborative heat supply safe and economic dispatching based on multiple units of heat supply units through a heat supply dispatching module according to an embodiment of the present invention.

Fig. 5 is a flowchart of a method for calculating a heating demand of a user with a certain heating pressure level according to an embodiment of the present invention.

Detailed Description

In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.

The structure of the present invention will be described in detail below with reference to the accompanying drawings.

The invention provides a constant-temperature heat supply automatic control circulation dynamic balance control method, which comprises the following steps: energy efficiency calculation: through energy consumption meter measurement, the calculation is jointly carried out according to the air supply temperature, the air return temperature, the air supply volume, the water valve opening, the water valve KVS value and the water channel temperature difference; calculating the energy consumption of the air conditioning unit; performing error elimination calculation every 15-30 minutes, and storing the air conditioner energy consumption with the error removed into a database for energy consumption statistical analysis and regional energy consumption calculation;

energy calculation: calculating energy consumption energy efficiency once every 15-30 minutes, and calculating regional energy consumption; giving an energy use condition report, use time and charging information according to the monthly degree;

self-adaptive control: establishing an energy management AI control model, establishing an artificial intelligent energy management robot, automatically analyzing working condition data, and selecting a proper energy management AI control model; the energy management AI control model includes: standard AI control models of spring-autumn, summer and winter working conditions; according to actual operation data, a summer standard AI control model is further optimized to control the humidity and the temperature;

and establishing closed-loop control of the energy management AI control model and real data feedback, and continuously optimizing the energy management AI control model by utilizing actual operation data result feedback to ensure that the energy management AI control model is real.

The energy management AI control model comprises an AI controller; the AI controller includes:

g(s) is an actual control object, Gm(s) is a mathematical model of a process object, C(s) is an AI controller, the control quantity output of the AI controller is Y(s), and R(s) and D(s) are input and interference signals of a control system respectively; d(s) is the bias feedback signal of the system process output Y(s) and the model output ym(s).

The AI control structure adopts feedforward closed-loop control compensation method to construct a closed-loop control network model in the closed-loop control link, wherein the closed-loop control network model comprises G₁₁……G₃₃As a master model of a variable air volume air conditioning system, C₁₁……C₃₃Function of both AI controller and closed-loop control controller, G_m11……G_m33For object model estimation, D₁(s)、D₂(s)、D₃(s) is a given value of the Lubang filter, F₁(s)、F₂(s)、F₃(s) model mismatch lupont filter;

the constructed closed-loop control network model adopts a multi-input multi-output internal model closed-loop control method to carry out closed-loop control, and a feedforward series diagonal closed-loop control array is combined with an internal model matrix of the controller, so that the controller executes the calculation functions of a closed-loop control compensator and an AI controller;

note gm(s) = G_-(s) G₊(s), Gm₊(s) is the part containing time lag and unstable zero in the closed-loop control network model, Gm_-(s) is the minimum phase part of the closed-loop control network model;

the coupling of a control loop is removed through internal model closed-loop control of the controller, and regulation and control of the energy management AI control model in energy efficiency calculation and energy calculation are realized.

The closed-loop control model is as follows:

the feedback signal is: d(s) =；

The AI controller is represented as:

。

as shown in fig. 1, the method for controlling the constant-temperature heat supply automatic control cycle dynamic balance further includes the following steps:

s101, detecting a heat supply temperature by a temperature detector through a temperature detection module; the central control module controls each module to work normally;

s102, adjusting the heating temperature through a temperature adjusting module; balancing the constant-temperature heat supply automatic control circulation dynamic state through a balancing module;

s103, predicting the heat supply heat load through a heat load prediction module; adjusting load parameters of the gas boiler for heat supply through a load adjusting module;

s104, collaborating heat supply safe and economic dispatching based on the multi-unit heat supply unit through a heat supply dispatching module;

s105, charging the heat supply use by using a charging program through a charging module; and displaying the temperature, the prediction result and the charging information by using a display through a display module.

As shown in fig. 2, the constant-temperature heating automatic control cycle dynamic balance control system provided in the embodiment of the present invention includes:

another object of the present invention is to provide a constant temperature heat supply automatic control circulation dynamic balance control system, which comprises:

the system comprises a temperature detection module 1, a central control module 2, a temperature regulation module 3, a balance module 4, a thermal load prediction module 5, a load regulation module 6, a heat supply scheduling module 7, a charging module 8 and a display module 9.

The temperature detection module 1 is connected with the central control module 2 and used for detecting the heat supply temperature through a temperature detector;

the central control module 2 is connected with the temperature detection module 1, the temperature regulation module 3, the balance module 4, the thermal load prediction module 5, the load regulation module 6, the heat supply scheduling module 7, the charging module 8 and the display module 9 and is used for controlling the normal work of each module;

the temperature adjusting module 3 is connected with the central control module 2 and used for adjusting the heat supply temperature;

the balance module 4 is connected with the central control module 2 and is used for balancing the constant-temperature heat supply automatic control circulation dynamic state;

the heat load prediction module 5 is connected with the central control module 2 and used for predicting the heat load of heat supply;

the load adjusting module 6 is connected with the central control module 2 and used for adjusting load parameters of the gas boiler for heat supply;

the heat supply scheduling module 7 is connected with the central control module 2 and is used for collaborative heat supply safe and economic scheduling based on the multi-unit heat supply unit;

the charging module 8 is connected with the central control module 2 and is used for charging the heat supply use through a charging program;

and the display module 9 is connected with the central control module 2 and used for displaying the temperature, the prediction result and the charging information through a display.

The energy efficiency calculation module 10 is connected with the central control module 2 and is used for jointly participating in calculation according to the air supply temperature, the return air temperature, the air supply volume, the water valve opening, the water valve KVS value and the water channel temperature difference through the measurement of an energy consumption meter; calculating the energy consumption of the air conditioning unit; performing error elimination calculation every 15-30 minutes, and storing the air conditioner energy consumption with the error removed into a database for energy consumption statistical analysis and regional energy consumption calculation;

the energy calculating module 11 is connected with the central control module 2 and used for calculating energy consumption efficiency once every 15-30 minutes and calculating regional energy consumption; giving an energy use condition report, use time and charging information according to the monthly degree;

the self-adaptive control module 12 is connected with the central control module 2 and used for establishing an energy management AI control model, establishing an artificial intelligent energy management robot, automatically analyzing working condition data and selecting a proper energy management AI control model; the energy management AI control model includes: standard AI control models of spring-autumn, summer and winter working conditions; according to actual operation data, a summer standard AI control model is further optimized to control the humidity and the temperature;

and the control model optimization module 13 is connected with the central control module 2 and is used for establishing closed-loop control of the energy management AI control model and real data feedback, and continuously optimizing the energy management AI control model by utilizing actual operation data result feedback so as to ensure that the energy management AI control model is real.

As shown in fig. 3, a method for adjusting load parameters of a heating gas boiler by a load adjustment module according to an embodiment of the present invention includes:

s201, acquiring estimated total heat supply quantity of all heat exchange stations corresponding to a heat supply target in a heat supply system in a future time period; acquiring estimated total heat supply heat and actual total heat supply heat of all heat exchange stations corresponding to heat supply targets in the past time period;

s202, synthesizing estimated total heat supply heat in the future time period, estimated total heat supply heat in the past time period and actual total heat supply heat to obtain boiler load parameters in the future time period; the future time period and the past time period are the same in duration;

and S203, repeating the step S201 and the step S202, and updating the boiler load parameter.

The estimated total heat supply provided by the embodiment of the invention is calculated according to the following formula:

Q_{estimation of}＝∑Q_iη；

Wherein Q is estimated as the estimated total heat supply quantity; q_iThe estimated heat supply quantity of the heat supply target corresponding to the ith heat exchange station is obtained; eta is the heat exchange efficiency of the heat exchange station.

The estimated heat supply quantity of each heat exchange station corresponding to the heat supply target in the heat supply system provided by the embodiment of the invention is calculated according to the following formula:

；

q is estimated heat supply quantity of each heat exchange station corresponding to a heat supply target in the heat supply system; q_mThe building where the heating target is located is designed to heat; s is a heating area of the heating target; t is t_n1A specified heating temperature for the heating target; t is t_wIs the forecasted average air temperature over the time period; t is t_dIs the minimum required heating average temperature.

The actual total heat supply provided by the embodiment of the invention is calculated according to the following formula:

Q_{practice of}＝∑Q_jη；

Wherein Qactual is the actual total heat supplied; q_jActual heat supply heat of a corresponding heat supply target for the jth heat exchange station; eta is the heat exchange efficiency of the heat exchange station.

The actual heat supply quantity of each heat exchange station corresponding to the heat supply target in the heat supply system provided by the embodiment of the invention is calculated according to the following formula:

；

q is the actual heat supply heat quantity of each heat exchange station corresponding to a heat supply target in the heat supply system; q_mThe building where the heating target is located is designed to heat; s is a heating area of the heating target; t is t_n2A specified heating temperature for the heating target; t is t_wIs the actual average air temperature over the time period; t is t_dIs the minimum required heating average temperature.

The estimated total heat supply quantity in the future time period, the estimated total heat supply quantity in the past time period and the actual total heat supply quantity are integrated, and the boiler load parameter in the future time period is obtained according to the following formula:

；

wherein Q' is a boiler load parameter over the future time period; t is the time length in the future time period and the past time period; q_{T1 prediction}Estimating total heat of heat supply for the future time period; q_{T2 prediction}Estimating total heat of heat supply for the past time period; q_{T2 practice}(ii) actual total heat supplied for said past period of time; eta is the heat exchange efficiency of the heat exchange station.

As shown in fig. 4, a method for collaborative heat supply safe and economic dispatching based on multiple units of heat supply units through a heat supply dispatching module according to an embodiment of the present invention includes:

s301, calculating the heat supply demand of a user with a certain heat supply pressure level;

s302, calculating the total heat supply amount required by all heat supply unit sets by the heat regulation center according to the heat supply demand of the user side; the method comprises the following steps that a thermal regulation center calculates the economy of units under jurisdiction in real time, analyzes the heat supply economy of each unit, and distributes heat supply load;

s303, distributing the heat regulation center heat supply instruction to each heat supply unit through a modbus communication protocol, and responding the heat regulation center instruction by the heat supply unit in time; each heat supply unit feeds back the heat regulation center regulation effect, and the heat regulation center monitors the balance between the flow sum of each heat supply unit and the flow demand of the side stream of the user.

As shown in fig. 5, a method for calculating a heating demand of a user with a certain heating pressure level according to an embodiment of the present invention includes:

s401, supplying steam pressure P to a user side heat supply main pipe₁And the flow rate of the heating steam Q₁Uploading to a thermal regulation center;

s401, during heatingReal-time detection of heat supply main pipe steam pressure P₁And the flow rate of the heating steam Q₁A change in (c);

and S403, calculating the demand condition of the user side for the heating steam through the functional relation.

The embodiment of the invention provides the steam pressure P of the user side heat supply main pipe₁And the flow rate of the heating steam Q₁The functional relationship reflecting the total amount of heat supply steam required by the user side is as follows:

f(x)=(K_P*ERROR)+K_iintegral ^ ERRORdt + feedforward input;

wherein, f (x) is the total quantity of heat supply demand of the user side, and the variable ERROR is the steam pressure P of the heat supply main pipe of the user side₁With real-time variation of, feed-forward input for, the flow Q of the heating steam₁Real-time variation of (2), proportionality coefficient K_PAnd integral coefficient K_iAnd adjusting according to the inertia of the heating system.

The method for distributing the heat supply load provided by the embodiment of the invention comprises the following steps: and distributing the heat supply load of each unit according to the heat supply economical ranking of each unit on the premise of ensuring the total safety.

The method for calculating the economical efficiency of the units administered by the heat regulation center in real time and analyzing the heat supply economical efficiency of each unit provided by the embodiment of the invention comprises the following steps:

respectively calculating the boiler efficiency and the steam turbine generator efficiency of each unit in real time:

η_boilerReal-time boiler evaporation rate (steam enthalpy-feed water enthalpy)/(fuel amount + fuel low heating value) = 100%;

η_{steam engine}=3600 actual power/[ steam flow rate (enthalpy drop of high pressure cylinder + enthalpy drop of intermediate pressure cylinder + enthalpy drop of low pressure cylinder)]；

Wherein eta is_GeneratorTaking 0.995, and the total efficiency of each unit is eta_Boiler*η_{Steam engine}*η_GeneratorAnd comparing the efficiency of each unit to obtain the ranking of heat supply economy.

The embodiment of the invention provides a user side heat supply flow Q under the same pressure level₁And the heat supply flow relationship between the heat supply units is as follows:

Q₁=K₁*q₁+K₂*q₂+……+K_i*q_i，K_i*q_i；

namely, the heat supply instruction distributed to the heat supply units of each unit;

wherein i is the number of the heat supply units, and is determined by an 'N-1 principle' for ensuring heat supply safety scheduling.

The K provided by the embodiment of the present invention is a flow distribution coefficient according to the heat supply economy of a unit, and the principle is that the K coefficient of a unit with good economy is high, and the K coefficient of a unit with poor economy is low, and the relationship is as follows:

（K₁+K₂+……+K_i）/i=1。

when the temperature detection device works, firstly, the temperature detection module 1 detects the heat supply temperature by using the temperature detector; secondly, the central control module 2 adjusts the heat supply temperature through the temperature adjusting module 3; balancing the constant-temperature heat supply self-control circulation dynamic state through a balancing module 4; the heat load of the heat supply is predicted through a heat load prediction module 5; the load parameters of the gas boiler for heat supply are adjusted through a load adjusting module 6; the heat supply dispatching module 7 is used for collaboratively dispatching heat supply safely and economically based on the multi-unit heat supply unit; then, charging the heat supply use by using a charging program through a charging module 8; finally, the display module 9 is used for displaying the temperature, the prediction result and the charging information.

In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.