CN115342409B - Control and regulation method and system for heating system - Google Patents
Control and regulation method and system for heating system Download PDFInfo
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- CN115342409B CN115342409B CN202210960077.8A CN202210960077A CN115342409B CN 115342409 B CN115342409 B CN 115342409B CN 202210960077 A CN202210960077 A CN 202210960077A CN 115342409 B CN115342409 B CN 115342409B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D3/00—Hot-water central heating systems
- F24D3/10—Feed-line arrangements, e.g. providing for heat-accumulator tanks, expansion tanks ; Hydraulic components of a central heating system
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
- F24D19/1015—Arrangement or mounting of control or safety devices for water heating systems for central heating using a valve or valves
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2220/00—Components of central heating installations excluding heat sources
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Abstract
The invention provides a control and regulation method and system of a heating system, which solve the technical problem of the existing heat supply imbalance. Comprising the following steps: the physical sensing layer is used for orderly collecting and determining heat supply state data and regulating valve state data in the area; the equipment control layer is used for receiving driving data formed by a heat supply control strategy in the control regulation determination area of the heating system and controlling the working state of a regulating valve in the determination area; the data fusion layer forms a data acquisition calculation node, performs data fusion on related acquired data in the determined area, forms a heat supply control strategy driving regulating valve in the determined area according to a typical room temperature model of a heat user and a control expectation, and forms heat supply state monitoring of the determined area in a heat supply region by interacting with the data fusion layer through the intelligent decision layer, and intervenes in the formation of the control strategy by adjusting the control expectation and the typical room temperature model of the heat user. Effective control and accurate regulation are realized on the heating system, and the management and energy-saving level is greatly improved.
Description
Technical Field
The invention relates to the technical field of heating, in particular to a control and regulation method and system of a heating system.
Background
In the prior art, most of heating systems adopt a supply side regulation mode during heating regulation, generally draw a heating regulation curve according to the outdoor temperature and history experience of heating, determine the primary side and secondary side water supply temperatures according to the heating regulation curve, and properly correct the water supply temperatures in cooperation with customer complaints and upper door temperature measurement.
Disclosure of Invention
In view of the above problems, embodiments of the present invention provide a control and adjustment method and system for a heating system, which solve the technical problems of existing heating disorders.
The control and regulation system of the heating system of the embodiment of the invention comprises:
the physical sensing layer is used for forming a parallel acquisition channel and orderly acquiring heat supply state data and regulating valve state data of a typical user indoor and secondary side water supply and return pipeline and a heat exchange station in a determined area;
the equipment control layer is used for forming a parallel control channel of the water supply and return pipeline regulating valve, receiving driving data formed according to a heat supply control strategy in the determined area, controlling the working state of the regulating valve in the determined area, and changing the temperature difference between indoor temperatures of hot users in the determined area;
the data fusion layer is used for forming data acquisition calculation nodes, carrying out data fusion on related acquisition data in the determined area, and forming a heat supply control strategy driving regulating valve in the determined area according to a typical room temperature model of a heat user and control expectation so that the indoor temperature of the heat user tends to be balanced;
the intelligent decision layer is used for interacting with the data fusion layer to form a heating state monitor of a determined area in a heating region, and the control expectation and the heat supply control strategy of the determined area in the heating region are interfered by the heat user typical room temperature model.
In an embodiment of the present invention, the physical sensing layer includes:
the indoor temperature sensor module is used for acquiring and determining temperature change signals in a typical heat user room in a building type;
and the secondary side pipeline temperature sensor module of the heating station is used for collecting temperature change signals of the secondary side water supply and return pipeline branches.
And the secondary side pipeline pressure sensor module of the heating station is used for collecting pressure change signals of the secondary side water supply and return pipeline branches.
And the heat sensor module of the secondary side pipeline of the heating power station is used for collecting heat density change signals of the secondary side water supply and return pipeline branches.
In an embodiment of the present invention, the device control layer includes:
the internet of things pipeline regulating valve is used as a special data link between the controlled end and the control end, and the opening of the regulating valve is regulated according to the received control data.
In an embodiment of the present invention, the data fusion layer includes:
and the edge processor is used for receiving the acquired data in the determined area and the feedback data of the controlled end, and driving and controlling the opening degree of the regulating valve of the associated controlled end according to the typical room temperature model of the heat user and the heat supply control strategy of the associated controlled end in the control expected formation determined area so as to lead the indoor temperature of the associated heat user in the determined area to tend to be balanced.
In an embodiment of the present invention, the intelligent decision layer includes:
the heat supply regulation monitoring platform is used for interacting with each edge processor and integrally displaying and monitoring the heat supply state of a user in a heat supply region;
and the heat supply regulation management platform is used for adjusting and controlling the expected and typical room temperature models of heat users to form the correction of the heat supply control strategy in the heat supply determination area of the determination area in the heat supply region.
The control and regulation method of the heating system according to the embodiment of the invention uses the control and regulation system to form a processing procedure in the data fusion layer, including:
acquiring instant room temperature data of typical users of specific building types in a determined area under jurisdiction;
acquiring state data of a regulating valve of a hot user in a determined area under jurisdiction;
simulating the associated room temperature data of the general user through the instant room temperature data of the typical user according to the typical room temperature model of the hot user;
according to the difference trend of the correlated room temperature data aiming at the instant room temperature data, forming an equilibrium adjustment coefficient with reduced difference trend;
adjusting the state of the regulating valve of the related general user through the balance adjustment coefficient according to the state of the regulating valve of the typical user;
acquiring temperature control expectation in a managed determination area, and forming a phase adjustment coefficient for eliminating the phase difference according to the phase difference of the temperature control expectation according to the instant room temperature data;
the adjustment valve state of a typical user is adjusted by the phase adjustment coefficient.
In one embodiment of the invention, the regulating valve is identified through a data transmission link established between the regulating valves of the Internet of things pipeline on the heat supply and return water supply branch pipelines communicated with each heat-insulating user, and the state of the regulating valve is checked according to historical collected data.
In one embodiment of the present invention, the typical room temperature model of the heat user includes:
In an embodiment of the present invention, the processing procedure formed in the intelligent decision layer includes:
the data interaction is carried out through each edge processor, and the heat supply state of a user in the heat supply region is integrally displayed and monitored;
the tuning control expectation and the heat user typical room temperature model form a correction of the heat supply control strategy in the heat supply determination area of the determination area heat supply area.
The control and regulation method and the system control and regulation system of the heating system form an active regulation technical means based on the balance degree of the heating power distribution of the existing heating system, realize effective control and accurate regulation on the heating system, and greatly improve the management and energy-saving level. The user demand side response can be realized, and the heat supply according to the needs and the accurate heat supply are realized. The device can be applied to heat exchange stations of heating systems and heat supply adjustment of heat users, and achieves the purpose of saving energy to the greatest extent.
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Fig. 1 is a schematic diagram of a control and regulation system of a heating system according to an embodiment of the invention.
Fig. 2 is a schematic diagram showing a specific structure of a control and regulation system of a heating system according to an embodiment of the invention.
Fig. 3 is a schematic flow chart of a heating control adjustment method formed by a control adjustment system of a heating system according to an embodiment of the invention.
Fig. 4 is a schematic structural diagram of an internet of things pipeline regulating valve in a control and regulating system of a heating system according to an embodiment of the invention.
Detailed Description
The present invention will be further described with reference to the drawings and the detailed description below, in order to make the objects, technical solutions and advantages of the present invention more apparent. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
A control and regulation system of a heating system according to an embodiment of the present invention is shown in FIG. 1. In fig. 1, the present embodiment includes:
and the physical sensing layer 10 is used for forming parallel acquisition channels and sequentially acquiring heat supply state data and regulating valve state data of a typical user indoor and secondary side water supply and return pipeline and a heat exchange station in a determined area.
As will be appreciated by those skilled in the art, a heating system exchanges primary side heat to secondary side heat within a heating zone through a heat exchange station, and provides heat to a heat consumer within a defined zone through a multi-stage water supply and return line distributed across the secondary side. For the determined area with different division scales, including but not limited to a community building group, a building, a unit or a floor, each heat supply terminal connected in series in the water supply and return pipeline when the room of the heat user is the minimum space scale can be logically integrated into a single heat supply terminal corresponding to the heat user. The heat supply state data can orderly obtain timely data acquisition and feedback of type physical signals including but not limited to physical signals such as instant temperature, pressure, flow rate, accumulated heat density and the like through arranging type sensors of the physical signals in the pipeline, the heat supply terminal and the user space and combining a wired or wireless transmission technology. Meanwhile, an electromechanical control circuit and a control signal transmission circuit are matched to integrate a pipeline regulating valve, so that the opening degree control of the pipeline regulating valve is realized, and the state feedback of the regulating valve in the controlled process is obtained.
And the device control layer 20 is used for forming a parallel control channel of the water supply and return pipeline regulating valve, receiving driving data formed according to the heat supply control strategy in the determined area, controlling the working state of the regulating valve in the determined area, and changing the temperature difference between indoor temperatures of hot users in the determined area.
It will be appreciated by those skilled in the art that the provision of a line regulator valve as a controlled end on the water supply and return line of a defined area can regulate the flow rate and flow rate of the heat medium to vary the heating efficiency. By arranging the pipeline regulating valve of the Internet of things, a data transmission link can be established between the control end and the controlled end, the link identification of the data transmission link is utilized to form the distribution and the receiving of driving data, and the consistency of indoor temperature of a hot user in a determined area is formed by orderly regulating the pipeline regulating valve in the determined area.
The data fusion layer 30 is used for forming data acquisition calculation nodes, carrying out data fusion on related acquired data in the determined area, and driving the regulating valve according to a heat supply control strategy in the determined area formed by a typical room temperature model of a heat user and control expectation, so that the indoor temperature of the heat user tends to be balanced.
The nodes comprise data calculation functions, and can form corresponding relations with a large-scale determined area, for example, the nodes are flexibly arranged according to buildings, units or floors. The method comprises the steps of carrying out data fusion on relevant collected data in a determined area through a node, taking the fused collected data as a control feedback basis, forming control strategies for heat supply of different heat users in the determined area according to a typical room temperature model of the heat users and control expectations, controlling the time sequence opening degree of each pipeline regulating valve in the determined area as a control end, and correcting the control strategies for heat supply in the determined area through state feedback to balance the heat supply.
The intelligent decision layer 40 is used for interacting with the data fusion layer to form a heat supply state monitor of a determined area in the heat supply region, and the heat supply control strategy of the determined area in the heat supply region is formed by adjusting control expectation and intervention of a typical room temperature model of a heat user.
The data fusion and control strategy in the data fusion layer is regional, and the intelligent decision layer and the data fusion layer are interacted to form complete heat supply state monitoring and monitoring display in the heat supply area. The heating status includes, but is not limited to, determining the type of physical signal corresponding to the pipeline, terminal, and space within the area, the opening of the pipeline regulator valve, the type of living room or heating user, etc. By adjusting the overall heat supply in the area of the intended district heating schedule, the balance heat supply control process is changed by optimizing a heat user typical room temperature model such that a change is made in the determined area for the heat supply control strategy in the heat user space. The degree of balance of the heat supply in the area is optimally determined.
The control and regulation system of the heating system forms an active regulation technical means for distributing balance degree of heat based on the existing heating system, realizes effective control and accurate regulation on the heating system, and greatly improves management and energy-saving level. The user demand side response can be realized, and the heat supply according to the needs and the accurate heat supply are realized. The device can be applied to heat exchange stations of heating systems and heat supply adjustment of heat users, and achieves the purpose of saving energy to the greatest extent.
A control and regulation system of a heating system according to an embodiment of the invention is shown in FIG. 2. In fig. 2, the physical perception layer 10 includes:
an indoor temperature sensor module 11 for acquiring and determining a temperature change signal in a typical hot user room in a building type.
Building types can be classified into residential, commercial and industrial according to the use. Different heat consumption levels can be formed according to building height, model coefficients, orientation, layer height, various building enclosures and the like. Residential and industrial buildings can be classified into 5 classes according to heat consumption level, and commercial and industrial buildings can be classified into 2 classes each, i.e. a subdivision determining building type is formed. Meanwhile, the type of the heat user can be determined according to the heat supply space position in the building type, and the heat user type is a typical user and comprises users such as a top layer, a bottom layer, side users, middle users and the like of the same building, wherein the users can represent the characteristics of heat supply room temperature in the building. Hot users other than typical users are general users.
The secondary side pipeline temperature sensor module 12 of the heating station is used for collecting temperature change signals of the secondary side water supply and return pipeline branches.
And the secondary side pipeline pressure sensor module 13 of the heating station is used for collecting pressure change signals of the secondary side water supply and return pipeline branches.
The heat sensor module 14 of the secondary side pipeline of the heating station is used for collecting heat density change signals of the secondary side water supply and return pipeline branches.
In an embodiment of the invention, each sensor module is provided with a power supply, and an input end of a communication module (a 4G public network module or a WIFI communication module) is connected through an output end to form a parallel transmission channel for collecting data.
According to the control and regulation system of the heating system, a sensor layout network which is matched with the topological structure of the secondary side water supply and return pipe network is formed through the physical signal type sensors arranged in the secondary side and the heat user, and instant thermodynamic distribution change characteristic information of different division scales around the heat user is obtained according to the pipe network pipeline branch topological structure. Providing a reliable feedback basis for the control process for forming and modifying the heating balance.
As shown in fig. 2, in an embodiment of the present invention, the device control layer 20 includes:
the internet of things pipeline regulating valve 21 is used for forming a special data link between the controlled end and the control end, and regulating the valve opening of the regulating valve according to the received control data.
In an embodiment of the invention, the dedicated data link is formed by a narrowband internet of things (Narrow Band Internet of Things, NB-IoT) communication module, and the internet of things pipeline regulating valve is integrated with a regulating valve state acquisition circuit, and is used for acquiring a valve opening signal and feeding the valve opening signal back to the control end through the dedicated data link.
The control and regulation system of the heating system adopts the public network communication technology and the regulating valve integrated with the mature electric flow regulating valve to realize real-time automatic control of the regulating valve, so that the room temperature state of a typical heat user can be fed back in time, and the room temperature requirement of a general user can be improved in time.
As shown in fig. 2, in an embodiment of the present invention, the data fusion layer 30 includes:
the edge processor 31 is configured to receive the collected data in the determined area and the feedback data of the controlled end, and drive and control the opening of the regulating valve of the associated controlled end according to the typical room temperature model of the heat user and the heat supply control strategy of the associated controlled end in the control expected formation determined area, so that the indoor temperature of the associated heat user in the determined area tends to be balanced.
The edge processor may employ a DSP (Digital Signal Processor) digital signal processor, an FPGA (Field-Programmable Gate Array) Field programmable gate array, a MCU (Microcontroller Unit) system board, a SoC (system on a chip) system board, or an PLC (Programmable Logic Controller) minimum system including I/O.
The control and regulation system of the heating system forms a distributed independent regulation mode, and realizes targeted heating regulation of the heat users in the determined area based on the typical room temperature model of the heat users. The system can adapt to the heat supply requirements of various heat supply scales and building types in each determined area. The defects of large energy consumption, high response time delay and limited regulation precision caused by unified heat supply regulation in a heat supply region can be effectively reduced.
As shown in fig. 2, in an embodiment of the present invention, the intelligent decision layer 40 includes:
the heat supply regulation and monitoring platform 41 is used for interacting with each edge processor and integrally displaying and monitoring the heat supply state of the hot user in the heat supply region.
The heat supply regulation monitoring platform comprises a storage resource, a display resource and a calculation resource, and the data aggregation processing is carried out on the edge processor under the jurisdiction, so that the whole heat supply state in the heat supply area is presented in a graphic mode, and meanwhile, a necessary man-machine interaction interface is provided for data monitoring.
The heating regulation management platform 42 is used to adjust and control the correction of the heating supply control strategy in the determined zone heating supply determination zone in the expected and heat consumer typical room temperature model formation heating zone.
And carrying out authorization adjustment on the control expectation and a typical room temperature model of the heat user through an authorization mechanism of the man-machine interaction interface so as to influence the formation of a heat supply control strategy of a determined area, and adjusting the heat supply balance degree among the related heat users on the basis that the heat supply system reaches a main heat supply index.
The control and regulation system of the heating system in the embodiment of the invention forms real-time monitoring of heat supply control in all the determined areas in the heating region. The reliable heating real-time state in the heating area is obtained through integral display and monitoring, and an evaluation basis is provided for heating effectiveness. Meanwhile, a three-level heat supply regulation mechanism which specifically determines a heat supply control strategy in a region as a heat user site foundation is formed by matching with the data fusion layer, heat supply control expectation is used as a macro regulation foundation, a heat user typical room temperature model is corrected as a data fusion layer region regulation foundation, heat supply balance degree of the heat user is effectively improved, and the problem of heat supply imbalance among buildings and users of the heating user is solved in a larger range.
An embodiment of the present invention is a heating control adjustment method formed by a control adjustment system of a heating system, as shown in fig. 3. In fig. 3, the processing procedure of the present embodiment formed by using an edge processor in the data fusion layer includes:
step 110: immediate room temperature data for a typical user of a particular building type within a determined area under jurisdiction is obtained.
Typical user types for a particular building type may be obtained from the monitored base database through interaction of the edge processor with the intelligent decision layer data. Typical user types of building types are formed according to advanced building load calculation methods for typical building types, and simulate the thermal characteristics and differences of rooms in different typical areas of the same building. Building type, determination of typical users, follow industry specifications.
Step 120: and acquiring the state data of the regulating valve of the hot user in the determined area.
In one embodiment of the invention, the regulating valve is identified through a data transmission link established between the regulating valves of the Internet of things pipeline on the heat supply and return water supply branch pipelines communicated with each heat-insulating user, and the state of the regulating valve is verified according to historical collected data.
Step 130: the associated room temperature data of the general user is simulated by the instant room temperature data of the typical user according to the hot user typical room temperature model.
The room temperature mathematical expression of a typical room temperature model of a heat user comprises:
And obtaining the quantitative influence of the typical user room temperature on the general user according to the thermal user typical room temperature model, and obtaining the heat supply change difference between the associated typical user and the general user according to the quantitative influence.
Step 140: and forming an equilibrium adjustment coefficient with reduced difference trend according to the difference trend of the correlated room temperature data aiming at the instant room temperature data.
The difference trend refers to the difference change amplitude of the instant room temperature data and the associated room temperature data within a certain time period. The equalization adjustment coefficient is calculated by calculating the difference trend region zero, and the heat increment or the heat decrement of the general user corresponding to the associated room temperature data is required to be quantified. In one embodiment of the present invention, the quantification of the heat increment or heat decrement is the amount of heat required to eliminate the difference, which is the ratio of the corresponding heat of the current associated room temperature data.
Step 150: the regulating valve states of the related general users are regulated according to the regulating valve states of the typical users through the balance regulating coefficients.
And according to the heat demand of the balance adjustment coefficient, combining the related inherent characteristics of the water supply and return pipe diameter, the flow rate, the heat supply regulation and the like of the typical user type of the building type stored in the monitored basic database to form heat supply medium flow rate or flow rate data required by the corresponding branch. And meanwhile, forming a proportional coefficient of the opening adjustment action according to the fed-back current opening state of the regulating valve to realize the opening change of the regulating valve. And then forming a feedback control process of reducing the difference trend of the room temperature of the general user according to the feedback data of each sensor.
Step 160: and acquiring a temperature control expectation in the managed determination area, and forming a phase adjustment coefficient for eliminating the phase difference according to the phase difference of the temperature control expectation according to the instant room temperature data.
The temperature control is intended as an adjustment parameter for the heat supply targets of each determined area within the heating area. The phase difference refers to the relative error between the instantaneous room temperature data and the expected temperature over a given period of time. The phase adjustment coefficient is used for quantifying the heat increment or the heat decrement of a typical user corresponding to the instant room temperature data in the process of eliminating the relative error by calculation. In one embodiment of the present invention, the quantification of the heat increment or heat decrement is the amount of heat required to eliminate the relative error, which is the ratio of the current instantaneous room temperature data to the corresponding heat.
Step 170: the adjustment valve state of a typical user is adjusted by the phase adjustment coefficient.
According to the heat demand of the stage adjustment coefficient, the heat supply medium flow or flow rate data required by the corresponding branch is formed by combining the related inherent characteristics of the water supply and return pipe diameter, the flow rate, the heat supply regulation and the like of the typical user type of the building type stored in the monitored basic database. And meanwhile, forming a proportional coefficient of the opening adjustment action according to the fed-back current opening state of the regulating valve to realize the opening change of the regulating valve. And then a feedback control process with reduced typical user room temperature difference trend is formed according to the feedback data of each sensor.
The heating control adjustment method of the embodiment of the invention forms a smooth automatic control mechanism of the heating system by utilizing the inherent relevance of the heat loads of typical users and general users. The quantization and adjustment of regional heating requirements are formed through temperature control expectation, a distributed heating control strategy is formed through an edge processor, and active control facing typical users and follow-up control of the typical users in the region are formed. And the balance transition and the adjustment efficiency of heat re-balance in the heat supply adjustment process are ensured through the feedback control response of the active follow-up. The method realizes effective control and accurate regulation on the heating system and greatly improves the management and energy-saving level.
As shown in fig. 3, in an embodiment of the present invention, further includes:
the heat supply regulation monitoring platform and the heat supply regulation management platform in the intelligent decision layer comprise the following processing procedures:
step 180: and carrying out data interaction through each edge processor, and integrally displaying and monitoring the heat supply state of the hot user in the heat supply region.
Step 190: the tuning control expectation and the heat user typical room temperature model form a correction of the heat supply control strategy in the heat supply determination area of the determination area heat supply area.
The heat supply control and regulation method integrates centralized feedback and distributed monitoring on the unified functional platform, realizes effective management of heat distribution in a heat supply region, utilizes platform resources to form accurate temperature control expectation for macroscopic control, utilizes distributed feedback data to form heat pipe network heat supply efficiency assessment, feedback and alarm, and improves the monitoring level. Meanwhile, the intelligent decision layer and the data fusion layer can be further fused, the intelligent decision layer is used as the computing resource of the data fusion layer to replace and backup, and the advantages of the platform are fully utilized.
The structure of the pipeline regulating valve of the Internet of things in one embodiment of the invention is shown in fig. 4. In fig. 4, the internet of things pipeline regulating valve of the present embodiment is formed based on an existing internet of things intelligent regulating valve and an internet of things valve controller, and a controller or a controller circuit integrated by using the existing regulating valve in a typical user room includes:
the remote communication module 210 is configured to establish a transmission communication link with the control end through a communication public network.
The remote communication module adopts a narrowband internet of things (Narrow Band Internet of Things, NB-IoT) communication module, and establishes a transmission communication link as required according to a communication strategy of the controller and the control end.
The near field communication module 220 is configured to establish an acquisition communication link between the controller and the sensor.
The near field communication module adopts an industrial Bluetooth communication module to establish an acquisition communication link distance of less than 50 meters. The Bluetooth communication module can be used for forming a Bluetooth communication network in a near field, and the stability of micro signal bed transmission forms a redundant route.
The temperature sensor module 230 is configured to form temperature data after analog-to-digital conversion of the temperature signal acquisition. The temperature sensor module comprises a temperature sensing circuit, an analog-to-digital conversion circuit and a near field communication module.
The humidity sensor module 240 is configured to form humidity data after analog-to-digital conversion of the humidity signal acquisition. The humidity sensor module comprises a humidity sensing circuit, an analog-to-digital conversion circuit and a near field communication module.
The pressure sensor module 250 is used for forming pressure data after analog-to-digital conversion of pressure signal acquisition. The pressure sensor module comprises a pressure sensing induction circuit, an analog-to-digital conversion circuit and a near field communication module.
In one embodiment of the present invention, as shown in fig. 4, the sensor modules are arranged in a fixed relative positional relationship, and the humidity sensor module 240 is arranged at the periphery of the window, preferably at the periphery of the window on the wall of the cold mountain.
There is a periodic ventilation behavior in the window, which when open can cause indoor and outdoor humidity to mix, resulting in rapid changes in the indoor humidity signal at steady state. By collecting the humidity signal at the position, human factors when the indoor temperature signal changes or a changing factor for quantifying the temperature signal changes can be filtered.
In one embodiment of the invention, as shown in fig. 4, the pressure sensor module 250 is disposed around the perimeter of the door and window, preferably paired with the humidity sensor module 240.
The window has regular ventilation behavior, and when the door and window are opened, the pressure at the open position tends to change, so that the pressure signal in the vicinity of the steady state changes rapidly. By collecting the position pressure signal, human factors when the indoor temperature signal changes or a changing factor for quantifying the temperature signal change can be filtered. The correlation between the humidity signal and the pressure signal according to the human action characteristics can provide a composite evaluation basis for judging whether the room temperature change is interfered by human factors.
In one embodiment of the invention, as shown in fig. 4, the temperature sensor modules 230 are disposed on the floor and ceiling, respectively, preferably near the wall junction.
The floor and ceiling spacing is relatively fixed and even the temperature differences and tendencies of the differences due to air convection remain relatively uniform and stable. By utilizing the characteristic to collect temperature signals at two ends of the convection height, a temperature correlation characteristic can be formed, and a composite evaluation basis is provided for judging whether the room temperature change is uniform and stable.
The sensing and adjusting device forms an associated sensor module setting structure, and the information dimension capable of quantifying and identifying occurrence and observation of the random event of the heating space is formed by utilizing the existing general sensor technology to collect signals by combining the sensor arrangement position with the spatial position with the most obvious signal characteristic change. After the mapping relation of the position and the type data of the typical user heating space is stored in the related database, the method provides additional information dimension for the quantization of the typical room temperature model, the building type and the heat user type of the subsequent heat user until the formation and the correction of the targeted heating control strategy. The general Internet of things pipeline regulating valve can still be directly applied to the indoor of a general user, and the configuration complexity of a physical sensing layer can be greatly simplified when the general Internet of things pipeline regulating valve is used as a sensing regulating device of the heating system based on the control regulating method and the system of the heating system.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (3)
1. A control regulation method of a heating system, characterized by using a control regulation system comprising:
the physical sensing layer is used for forming a parallel acquisition channel and orderly acquiring heat supply state data and regulating valve state data of a typical user indoor and secondary side water supply and return pipeline and a heat exchange station in a determined area;
the equipment control layer is used for forming a parallel control channel of the water supply and return pipeline regulating valve, receiving driving data formed according to a heat supply control strategy in the determined area, controlling the working state of the regulating valve in the determined area, and changing the temperature difference between indoor temperatures of hot users in the determined area;
the data fusion layer is used for forming data acquisition calculation nodes, carrying out data fusion on related acquisition data in the determined area, and forming a heat supply control strategy driving regulating valve in the determined area according to a typical room temperature model of a heat user and control expectation so that the indoor temperature of the heat user tends to be balanced; the data fusion layer comprises:
the edge processor is used for receiving the collected data in the determined area and the feedback data of the controlled end, forming a heat supply control strategy of the associated controlled end in the determined area according to a typical room temperature model of a heat user and control expectation, and driving and controlling the opening of a regulating valve of the associated controlled end so as to enable the indoor temperature of the associated heat user in the determined area to tend to be balanced;
the intelligent decision layer is used for interacting with the data fusion layer to form a heating state monitor of a determined area in a heating region, and the control expectation and the heat supply control strategy of the determined area in the heating region are interfered by the heat user typical room temperature model;
a process formed in the data fusion layer, comprising:
acquiring instant room temperature data of typical users of specific building types in a determined area under jurisdiction;
acquiring state data of a regulating valve of a hot user in a determined area under jurisdiction;
simulating the associated room temperature data of the general user through the instant room temperature data of the typical user according to the typical room temperature model of the hot user; the thermal user typical room temperature model includes:
according to the difference trend of the correlated room temperature data aiming at the instant room temperature data, forming an equilibrium adjustment coefficient with reduced difference trend;
adjusting the state of the regulating valve of the related general user through the balance adjustment coefficient according to the state of the regulating valve of the typical user;
acquiring temperature control expectation in a managed determination area, and forming a phase adjustment coefficient for eliminating the phase difference according to the phase difference of the temperature control expectation according to the instant room temperature data;
the adjustment valve state of a typical user is adjusted by the phase adjustment coefficient.
2. The control and regulation method of a heating system according to claim 1, wherein the regulating valve is identified by a data transmission link established between the internet of things pipeline regulating valves on the heating supply and return water branch pipelines communicating with each heat-insulating user, and the state of the regulating valve is checked based on the history collected data.
3. A method of controlling and regulating a heating system according to claim 1, wherein the process formed in the intelligent decision layer comprises:
the data interaction is carried out through each edge processor, and the heat supply state of a user in the heat supply region is integrally displayed and monitored;
the tuning control expectation and the heat user typical room temperature model form a correction of the heat supply control strategy in the heat supply determination area of the determination area heat supply area.
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| CN108240679B (en) * | 2018-02-22 | 2019-07-02 | 烟台科创捷能机电工程有限公司 | A kind of heat supply method based on building heating load prediction, device and system |
| CN113623722A (en) * | 2021-08-19 | 2021-11-09 | 山东华迪智能技术有限公司 | Heating method and system based on terminal room temperature parameter |
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| CN113757788B (en) * | 2021-09-15 | 2023-02-28 | 河北工大科雅能源科技股份有限公司 | Station-load linked two-network balance online dynamic intelligent regulation and control method and system |
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| KR20120096856A (en) * | 2011-02-23 | 2012-08-31 | 장수용 | A water heating auto-temperature regulator |
| WO2014095022A1 (en) * | 2012-12-17 | 2014-06-26 | Meibes System-Technik Gmbh | Multi-circuit heating or cooling system having a multiple-way mixing valve and device for open-loop and/or closed-loop control for a multi-circuit heating or cooling system |
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