Ground source heat pump intelligent control system model, data management method and storage device, control method and control device of ground source heat pump system and computer readable storage medium

Abstract

The invention provides a ground source heat pump intelligent control system model, a data management method, a storage device, a ground source heat pump system control method, a control device and a computer readable storage medium. The ground source heat pump intelligent control system model comprises an environment simulation module used for simulating a target space needing temperature adjustment; the ground source heat exchange module is used for simulating heat exchange with a geothermal environment; the data acquisition module detects simulation parameters of the environment simulation module and / or the ground source heat exchange module to serve as detection data; the intelligent control module predicts an energy consumption mode and / or a thermal load demand of the environment simulation module according to the detection data, and generates a control instruction according to the prediction data; the execution module adjusts the temperature of the environment simulation module to a target temperature according to the control instruction, and generates corresponding execution data; and the data management module is used for integrating the detection data, the prediction data, the control instruction and the execution data to form associated data corresponding to the relationship and storing the associated data as a database.

Description

Technical Field

[0001] The present application relates to the field of ground-source heat pumps, and in particular to a ground-source heat pump intelligent control system model, a data management method and a storage device, and a ground-source heat pump system control method, a control device and a computer-readable storage medium. Background Art

[0002] As an efficient and environmentally friendly renewable energy source, ground-source heat pump technology has been widely used in building heating and cooling. It utilizes the relatively stable temperature characteristics of shallow or medium-deep underground soil, groundwater, or surface water. By inputting a small amount of electrical energy, ground-source heat pumps transfer low-temperature heat energy to high-temperature heat energy. Compared to traditional air conditioning and boiler systems, ground-source heat pumps offer significant energy-saving and emission-reduction advantages.

[0003] However, traditional ground-source heat pump control systems often rely on simple start-stop control or PID (proportional-integral-differential) control based on set thresholds. This control approach has a relatively slow response and is difficult to adapt to dynamically changing building loads and external environmental conditions. This limitation is particularly pronounced for deep-seated ground-source heat pump systems, which are buried at greater depths, have more complex geological conditions, and experience slower thermal response. Furthermore, existing systems lack the ability to deeply analyze operational data and predict future energy consumption, making it difficult to proactively optimize operational strategies. This can cause the system to deviate from its optimal energy efficiency point during actual operation. Summary of the Invention

[0004] The present application provides a ground source heat pump intelligent control system model, a data management method and a storage device, and a control method, a control device and a computer-readable storage medium for the ground source heat pump system to help intelligently control the ground source heat pump system.

[0005] In a first aspect, the present application provides a ground source heat pump intelligent control system model, comprising:

[0006] Environmental simulation module, used to simulate the target space that needs temperature regulation;

[0007] Ground source heat exchange module, used to simulate heat exchange with geothermal environment;

[0008] A data acquisition module, configured to detect simulation parameters of the environmental simulation module and / or the ground source heat exchange module as detection data;

[0009] an intelligent control module, electrically connected to the data acquisition module, for predicting the energy consumption pattern and / or heat load demand of the environmental simulation module based on the detection data, and generating control instructions based on the predicted data;

[0010] an execution module, electrically connected to the intelligent control module, for adjusting the temperature of the environmental simulation module to a target temperature according to the control instruction and generating corresponding execution data;

[0011] The data management module is electrically connected to the data acquisition module, the intelligent control module and the execution module, and is used to integrate the detection data, the prediction data, the control instructions, and the execution data to form related data corresponding to the relationship and store them as a database.

[0012] The operating process of the ground-source heat pump is simulated through the environmental simulation module and the ground-source heat exchange module model, and the data acquisition module collects data from the environmental simulation module and the ground-source heat exchange module. The intelligent control module predicts the operating process of the ground-source heat pump, realizing the adjustment of the ground-source heat pump operating process from traditional passive adjustment to active optimization. This allows the ground-source heat pump operation strategy to be adjusted in advance to adapt to the heat load changes of the environmental simulation module and improve the energy efficiency of the ground-source heat pump intelligent control system. The prediction results can also be verified through the execution module, forming a complete Internet of Things intelligent control system. By repeating the above process, the detection data, the prediction data, the control instructions, and the execution data are integrated to form associated data. The associated data is stored in the data management module, and the operating results of the ground-source heat pump intelligent control system model can be applied to the actual ground-source heat pump intelligent control system, providing data support for the long-term operation evaluation, fault diagnosis, and maintenance of the ground-source heat pump intelligent control system.

[0013] Optionally, the environment simulation module includes:

[0014] A simulation container, used to simulate a target space that needs to be temperature regulated;

[0015] The temperature simulator is arranged in the simulation container and is used to simulate different temperature loads.

[0016] Optionally, the ground source heat exchange module includes:

[0017] A box body, wherein an environmental medium for simulating a ground source environment is provided in the box body;

[0018] a closed-loop pipeline, wherein a heat exchange medium circulates in the closed-loop pipeline; the closed-loop pipeline is immersed in the ambient medium and is at least partially located in the simulation container, and is used to exchange heat between the ambient medium and the simulation container;

[0019] The execution module includes:

[0020] a water pump, provided in the closed-loop pipeline, for adjusting the flow rate and / or flow of the heat exchange medium;

[0021] The controller is electrically connected to the intelligent control module and the water pump, and is used to control the start and stop and / or speed of the water pump according to the control instruction to adjust the flow rate and / or flow of the heat exchange medium.

[0022] Optionally, the data acquisition module includes at least one of the following:

[0023] a temperature sensor, disposed at least one of the simulation container, the housing, the liquid inlet of the closed-loop pipeline, and the liquid outlet of the closed-loop pipeline, for detecting at least one of the temperature inside the simulation container, the temperature outside the simulation container, the temperature inside the housing, the temperature of the heat exchange medium entering the closed-loop pipeline, and the temperature of the heat exchange medium flowing out of the closed-loop pipeline;

[0024] A flow rate sensor is provided in the closed-loop pipeline and is used to detect the flow rate of the heat exchange medium;

[0025] A flow sensor, provided in the closed-loop pipeline, for detecting the flow of the heat exchange medium;

[0026] a humidity sensor disposed at at least one of the interior of the simulated container, the exterior of the simulated container, the interior of the box, and the exterior of the box, for detecting at least one of the humidity inside the simulated container, the humidity outside the simulated container, the humidity inside the box, and the humidity outside the box;

[0027] a pressure sensor, disposed in the closed-loop pipeline, for detecting the hydraulic pressure of the heat exchange medium;

[0028] The meteorological sensor is arranged outside the simulation container and is used to detect external environmental parameters of the simulation container, wherein the external environmental parameters include wind speed.

[0029] Optionally, it further includes a data processing module, electrically connected to the data acquisition module, for processing the simulation parameters to obtain processed data;

[0030] The intelligent control module includes:

[0031] an analysis and modeling module, electrically connected to the data processing module, for establishing a data model corresponding to the environmental simulation module and the ground source heat exchange module based on historical data of the processed data;

[0032] a prediction and optimization module, electrically connected to the data processing module and the analysis and modeling module, for predicting the energy consumption pattern and / or heat load demand of the environmental simulation module based on the data model and the real-time data of the processed data, and generating prediction data;

[0033] The instruction generation module is electrically connected to the prediction optimization module and is used to generate control instructions according to the prediction data.

[0034] Optionally, the data management module is electrically connected to the data processing module, the analysis and modeling module, the prediction and optimization module, and the instruction generation module, and is used to store the real-time data and historical data of the processed data, the historical data of the data model, the prediction data, and the control instructions.

[0035] Optionally, the analysis and modeling module uses at least one of statistical methods, machine learning and deep learning algorithms to analyze the historical data of the processed data and establish the data model.

[0036] Optionally, the data processing module includes at least one of a microcontroller and a PLC, and the data processing module is used to periodically acquire the detection data and convert or filter at least part of the detection data.

[0037] Optionally, a visualization module is further included, which is electrically connected to at least one of the data acquisition module, the data processing module, the intelligent control module and the execution module, and is used to display at least one of the detection data, the processing data, the prediction data, the control instructions, and the execution data.

[0038] In a second aspect, the present application further provides a data management method for a ground-source heat pump intelligent control system model, wherein the ground-source heat pump intelligent control system model comprises:

[0039] Environmental simulation module, used to simulate the target space that needs temperature regulation;

[0040] Ground source heat exchange module, used to simulate heat exchange with geothermal environment;

[0041] an execution module, configured to adjust the temperature of the environment simulation module;

[0042] The data management method comprises:

[0043] Acquiring simulation parameters of the environmental simulation module and / or the ground source heat exchange module as detection data;

[0044] Predicting the energy consumption pattern and / or heat load demand of the environmental simulation module based on the detection data, and generating control instructions based on the predicted data;

[0045] According to the control instruction, controlling the execution module to adjust the temperature of the environment simulation module to the target temperature and generating corresponding execution data;

[0046] The detection data, the prediction data, the control instructions, and the execution data are integrated to form related data corresponding to the relationships, and stored as a database.

[0047] In a third aspect, the present application further provides a control method for a geothermal heat pump system, wherein the geothermal heat pump system includes a heat exchange device, the heat exchange device being disposed in a geothermal environment and at least partially located within a target space requiring temperature regulation, for performing heat exchange with the target space;

[0048] The control method includes:

[0049] Obtaining operating parameters of the target space and / or the heat exchange device (parameters in actual scenarios);

[0050] According to the operating parameters, acquiring execution data associated with the operating parameters from a database of a data management module of the ground source heat pump intelligent control system model according to the first aspect;

[0051] According to the execution data, the heat exchange device is controlled to adjust the temperature of the target space to a target temperature.

[0052] In a fourth aspect, the present application further provides a storage device storing a database of the data management module of the ground source heat pump intelligent control system model described in the first aspect.

[0053] In a fifth aspect, a control device for a ground source heat pump system includes: one or more processors for implementing the control method described in the third aspect.

[0054] In a sixth aspect, a computer-readable storage medium stores a program thereon, which, when executed by a processor, implements the control method described in the third aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0056] Figure 1 Shown is a schematic diagram of an embodiment of the ground source heat pump intelligent control system model of the present application.

[0057] Figure 2 As shown Figure 1 The schematic diagram of the local details of the ground source heat pump intelligent control system model is shown.

[0058] Figure 3 Shown is a schematic diagram of an embodiment of a data management method for a ground source heat pump intelligent control system model.

[0059] Figure 4Shown is a schematic diagram of an embodiment of a control method for a ground source heat pump system of the present application.

[0060] Figure 5 Shown is a schematic diagram of an embodiment of a control device for a ground source heat pump system of the present application.

[0061] Description of reference numerals:

[0062] 100. Geothermal heat pump intelligent control system model; 10. Environmental simulation module; 11. Simulation container; 12. Temperature simulator; 20. Geothermal heat exchange module; 21. Box; 22. Closed-loop pipeline; 30. Data acquisition module; 40. Intelligent control module; 41. Analysis and modeling module; 42. Prediction and optimization module; 43. Instruction generation module; 44. Storage management module; 50. Execution module; 51. Water pump; 52. Controller; 60. Data management module; 70. Data processing module; 80. Visualization module; 200. Control device; 210. Processor; 220. Interface; 230. Storage medium. DETAILED DESCRIPTION

[0063] Here, the technical solutions in the embodiments (or "implementations") of the present application will be clearly and completely described in conjunction with the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements.

[0064] If there are terms related to directional indications or positional relationships in the embodiments of this application (such as up, down, left, right, front, back, inside, outside, top, bottom, center, vertical, horizontal, longitudinal, transverse, length, width, counterclockwise, clockwise, axial, radial, circumferential, etc.), such terms are only used to explain the relative positional relationship, movement, etc. between the components in a specific posture (as shown in the accompanying drawings); if the specific posture changes, the directional indication or positional relationship will also change accordingly. In addition, the terms "first" and "second" in the embodiments of this application are only used for the purpose of convenience of description and should not be understood as indicating or implying relative importance.

[0065] See also Figure 1As shown, the present application provides a ground source heat pump intelligent control system model 100, including an environmental simulation module 10, a ground source heat exchange module 20, a data acquisition module 30, an intelligent control module 40, an execution module 50 and a data management module 60. The environmental simulation module 10 is used to simulate the target space that needs to be temperature-controlled in the ground source heat pump intelligent system. The target space can be the indoor environment of a building or other space that needs heating / cooling. The ground source heat exchange module 20 is used to simulate heat exchange with the geothermal environment. The data acquisition module 30 is used to detect the simulation parameters of the environmental simulation module 10 and / or the ground source heat exchange module 20 as detection data. The intelligent control module 40 is electrically connected to the data acquisition module 30, and is used to predict the energy consumption pattern and / or heat load demand of the environmental simulation module 10 based on the detection data, and generate control instructions based on the predicted data. The execution module 50 is electrically connected to the intelligent control module 40, and is used to adjust the temperature of the environmental simulation module 10 to the target temperature based on the control instructions, and generate corresponding execution data. The data management module 60 is electrically connected to the data acquisition module 30 , the intelligent control module 40 and the execution module 50 , and is used to integrate the detection data, prediction data, control instructions, and execution data into corresponding related data and store them as a database.

[0066] The operating process of the ground-source heat pump is simulated by the environmental simulation module 10 and the ground-source heat exchange module 20, and the data acquisition module 30 collects data from the environmental simulation module 10 and the ground-source heat exchange module 20. The intelligent control module 40 predicts the operating process of the ground-source heat pump, realizing the adjustment of the ground-source heat pump operating process from traditional passive adjustment to active optimization, thereby adjusting the ground-source heat pump operation strategy in advance to adapt to the heat load changes of the environmental simulation module 10 and improve the energy efficiency of the ground-source heat pump system. The prediction results can be verified by the execution module 50, forming a complete Internet of Things intelligent control system. By repeating the above process, the detection data, prediction data, control instructions, and execution data are integrated to form associated data. The associated data is stored by the data management module 60. The operating results of the ground-source heat pump intelligent control system model 100 can be applied to the actual ground-source heat pump system, providing data support for the long-term operation evaluation, fault diagnosis, and maintenance of the ground-source heat pump system. The ground-source heat pump intelligent control system model 100 can also be used for teaching demonstrations to help students or the public intuitively understand the working principle of deep-sea ground-source heat pumps and the advantages of intelligent control.

[0067] In an alternative embodiment, see Figure 2As shown, the environmental simulation module 10 includes a simulation container 11 and a temperature simulator 12. Simulation container 11 is used to simulate a target space requiring temperature regulation. Simulation container 11 can be a transparent box 21 or other container. Temperature simulator 12 is disposed within simulation container 11 and is used to simulate different temperature loads. Temperature simulator 12 can include at least one of a heater and a refrigerator.

[0068] The simulation container 11 corresponds to the target space to be simulated. Different temperature loads are simulated by the temperature simulator 12, so that the environmental simulation module 10 is not limited in the setting position and can realize the simulation of the target space under different temperature conditions.

[0069] In an optional embodiment, the ground source heat exchange module 20 includes a housing 21 and a closed-loop pipeline 22. The housing 21 is provided with an environmental medium for simulating a ground source environment. The closed-loop pipeline 22 is provided with a circulating heat exchange medium. The closed-loop pipeline 22 is immersed in the environmental medium and is at least partially located in the simulation container 11, and is used to exchange heat between the environmental medium and the simulation container 11. The closed-loop pipeline 22 may include a U-shaped tube, a shell-and-tube heat exchanger, etc., which is used to be buried in the environmental medium to simulate the heat exchange network of a deep-seated ground source heat pump buried underground. In this way, the setting form of the ground source heat exchange module 20 can be simplified, and the ground source heat pump intelligent control system model 100 can be quickly built.

[0070] In an alternative embodiment, see Figure 2 As shown, the execution module 50 includes a water pump 51 and a controller 52. The water pump 51 is disposed in the closed-loop pipeline 22 and is used to regulate the flow rate and / or flow rate of the heat exchange medium. The controller 52 is electrically connected to the intelligent control module 40 and the water pump 51 and is used to control the start and stop and / or speed of the water pump 51 according to control instructions to adjust the flow rate and / or flow rate of the heat exchange medium. In this way, the operating mode of the ground-source heat pump is simulated in the ground-source heat pump intelligent control system model 100.

[0071] Through the above settings, the ground source heat pump intelligent control system model 100 can restore the working process of the ground source heat pump to perform heat exchange on the medium of the medium-deep ground source environment and use it to cool and / or heat the target environment, which is beneficial for the ground source heat pump intelligent control system model 100 to verify the energy consumption pattern and / or heat load demand predicted by the intelligent control module 40, and generate control instructions based on the predicted data. The accuracy provides data support for the long-term operation evaluation, fault diagnosis and maintenance of the ground source heat pump system.

[0072] In an optional embodiment, the data acquisition module 30 includes at least one of a temperature sensor, a flow rate sensor, a flow rate sensor, a humidity sensor, a pressure sensor, and a meteorological sensor. One or more temperature sensors may be provided. The temperature sensor may be provided at least one of the simulation container 11, the housing 21, the liquid inlet of the closed-loop pipeline 22, and the liquid outlet of the closed-loop pipeline 22, and is used to detect at least one of the temperature inside the simulation container 11, the temperature outside the simulation container 11, the temperature inside the housing 21, the temperature of the heat exchange medium entering the closed-loop pipeline 22, and the temperature of the heat exchange medium flowing out of the closed-loop pipeline 22. A flow rate sensor is provided in the closed-loop pipeline 22 to detect the flow rate of the heat exchange medium. A flow rate sensor is provided in the closed-loop pipeline 22 to detect the flow rate of the heat exchange medium. A humidity sensor is located within or outside the simulated container 11, within or outside the housing 21, and is used to detect at least one of the following: the humidity within or outside the simulated container 11, the humidity within or outside the housing 21. A pressure sensor is located within the closed-loop pipeline 22 and is used to detect the hydraulic pressure of the heat exchange medium. A meteorological sensor is located outside the simulated container 11 and is used to detect environmental parameters external to the simulated container 11, including wind speed.

[0073] By detecting multiple simulation parameters of the environmental simulation module 10 and the ground source heat exchange module 20, the working process of the ground source heat pump intelligent control system in the target environment under various conditions can be restored, and it is beneficial for the intelligent control module 40 to predict the energy consumption mode and / or heat load demand of the environmental simulation module 10 under various conditions, which is beneficial to the accuracy and reliability of the ground source heat pump intelligent control system model 100, and provides data support for the long-term operation evaluation, fault diagnosis and maintenance of the ground source heat pump intelligent control system.

[0074] In an alternative embodiment, see Figure 1 and Figure 2 As shown, the ground source heat pump intelligent control system model 100 also includes a data processing module 70, which is electrically connected to the data acquisition module 30 and is used to obtain processed data based on the simulation parameters. In this way, the simulation parameters of different electrical signals obtained by different sensors of the data acquisition module 30 can be uniformly acquired by the intelligent control module 40, which is beneficial to improving the integration of the ground source heat pump intelligent control system model 100, expanding the types of simulation parameters that can be acquired and analyzed by the intelligent control module 40, and improving the intelligent control level of the ground source heat pump intelligent control system model 100.

[0075] In an optional embodiment, the data processing module 70 includes at least one of a microcontroller 52 and a PLC. The data processing module 70 is used to periodically obtain detection data and convert or filter at least part of the detection data. The data processing module 70 can package the detection data and upload it to the intelligent control module 40 in real time through the network interface 220 (WiFi, Ethernet) via MQTT (Message Queuing Telemetry Transport) or other reliable protocols. This makes it easier for the intelligent control module 40 to read the detection data at the same time, thereby facilitating the intelligent control module 40 to uniformly obtain the simulation parameters detected by different sensors of the data acquisition module 30, and facilitates the intelligent control module 40 to process the detection data, thereby facilitating the improvement of the integration of the ground source heat pump intelligent control system model 100.

[0076] In an alternative embodiment, see Figure 2 As shown, the intelligent control module 40 includes an analysis and modeling module 41, a prediction and optimization module 42, and an instruction generation module, and can be deployed on a cloud server or a local high-performance computer. The analysis and modeling module 41 is electrically connected to the data processing module 70 and is used to establish a data model corresponding to the environmental simulation module 10 and the ground source heat exchange module 20 based on the historical data of the processed data. The number of data models can be one or more. The prediction and optimization module 42 is electrically connected to the data processing module 70 and the analysis and modeling module 41 and is used to predict the energy consumption pattern and / or heat load demand of the environmental simulation module 10 based on the data model and the real-time data of the processed data, and generate predicted data. For example, an LSTM network (long short-term memory network) is used to predict the temperature change trend or required heating / cooling capacity within the simulation container 11 for the next few hours to the next few days, that is, the heat load demand within the simulation container 11. The prediction process can take into account factors such as time, the temperature inside and outside the simulation container 11, the historical load of the simulation container 11, and the influence of factors such as the humidity inside and outside the simulation container 11 and the wind speed outside the simulation container 11. Instruction generation module 43 is electrically connected to prediction and optimization module 42 and is configured to generate control instructions based on the predicted data. Specifically, intelligent control module 40 can calculate optimal system operating parameters, such as the start and stop times and operating frequency of water pump 51 in execution module 50, based on the detection data and in combination with objectives such as optimizing the energy efficiency and minimizing the cost of ground-source heat exchange module 20.

[0077] In this way, by predicting the energy consumption pattern and / or heat load demand of the environmental simulation module 10, the working mode of the ground source heat pump can be adjusted in the direction of active optimization, thereby adjusting the operation strategy of the ground source heat pump in advance to adapt to the heat load changes of the environmental simulation module 10, improving the energy efficiency of the ground source heat pump system, and realizing intelligent, refined and predictive management of the ground source heat pump system.

[0078] In an alternative embodiment, see Figure 2 As shown, the intelligent control module 40 further includes a storage management module 44 for receiving and storing real-time and historical data from the data processing module 70. The intelligent control module 40 can also be used to store the data model established by the analysis and modeling module 41 and the prediction results of the prediction optimization module 42.

[0079] In an optional embodiment, the analysis and modeling module 41 uses at least one of a statistical method, a machine learning algorithm, and a deep learning algorithm to analyze and process historical data and establish a data model. This is beneficial to the reliability of the data model established by the analysis and modeling module 41, and is beneficial to helping the intelligent control module 40 understand the complex relationship between the temperature outside the simulation container 11, the temperature inside the box 21, the flow rate of the heat exchange medium, the flow rate of the heat exchange medium, the humidity inside the simulation container 11, the humidity outside the simulation container 11, the humidity inside the box 21, the humidity outside the box 21, the hydraulic pressure of the heat exchange medium, and the external environmental parameters of the simulation container 11 and the energy consumption pattern and / or heat load demand of the environmental simulation module 10, which is beneficial for the prediction and optimization module 42 to consider more simulation parameters in the prediction process, improve the prediction accuracy of the prediction and optimization module 42, and further facilitate the intelligent, refined and predictive management of the ground source heat pump system.

[0080] In an alternative embodiment, see Figure 1 As shown, the data management module 60 is electrically connected to the data processing module 70, the analysis and modeling module 41, the prediction and optimization module 42, and the instruction generation module 43, and is used to store real-time and historical data of the processed data, historical data of the data model, predicted data, and control instructions. In this way, the operating results of the ground-source heat pump intelligent control system model 100 can be applied to the actual ground-source heat pump system, providing data support for the long-term operation evaluation, fault diagnosis, and maintenance of the ground-source heat pump system.

[0081] In an alternative embodiment, see Figure 1As shown, the ground source heat pump intelligent control system model 100 further includes a visualization module 80. The visualization module 80 is electrically connected to at least one of the data acquisition module 30, the data processing module 70, the intelligent control module 40, and the execution module 50, and is configured to display at least one of detection data, processing data, prediction data, control instructions, and execution data. The visualization module 80 can be a web interface or a local application, which intuitively displays the detection data, processing data, prediction data, control instructions, and execution data information of the ground source heat pump intelligent control system model 100 through charts (real-time curves, historical bar charts, etc.), dashboards, data tables, etc., so as to facilitate monitoring and understanding the operation of the ground source heat pump intelligent control system model 100, such as: real-time temperature curve chart in the simulation container 11, supply and return water temperature in the closed-loop pipeline 22; historical data query and charts, such as the temperature in the simulation container 11 and the energy consumption of the ground source heat pump system in different time units of day, week, and month in the form of icons; a weather dashboard for real-time display of meteorological information outside the simulation container 11, including wind speed, etc.; water pump operation status indication, including the start and stop and speed of the water pump 51; prediction results, including the energy consumption pattern and / or heat load demand curve of the environmental simulation module 10, etc.

[0082] In practical applications, taking the target space as the indoor environment of a building as an example, the air-conditioning control system of the indoor environment of the building can intelligently adjust the indoor environment temperature according to the database stored in the data management module of the ground source heat pump intelligent control system model of this embodiment, so that the indoor environment temperature can always be within a comfortable temperature range.

[0083] See also Figure 3 As shown, the present application also provides a data management method for a ground source heat pump intelligent control system model 100. The data management method includes steps S10, S20, S30, and S40.

[0084] In step S10 , simulation parameters of the environment simulation module 10 and / or the ground source heat exchange module 20 are obtained as detection data.

[0085] In step S20 , the energy consumption pattern and / or heat load requirement of the environment simulation module 10 is predicted based on the detection data, and a control instruction is generated based on the predicted data.

[0086] In step S30 , according to the control instruction, the control execution module 50 adjusts the temperature of the environment simulation module 10 to the target temperature and generates corresponding execution data.

[0087] In step S40 , the detection data, prediction data, control instructions, and execution data are integrated to form related data corresponding to the relationships, and stored in a database.

[0088] Thus, the data management method of this embodiment can generate a database for the data management module of the above-mentioned ground-source heat pump intelligent control system model, enabling simulation of the ground-source heat pump system in both the physical model and the data model, which is beneficial to the accuracy and reliability of the ground-source heat pump intelligent control system model 100. The detection data, prediction data, control instructions, and execution data of the ground-source heat pump intelligent control system model 100 are integrated to form corresponding associated data, which is stored in a database. The database is used in the actual ground-source heat pump system to provide data support for the long-term operation evaluation, fault diagnosis, and maintenance of the ground-source heat pump system.

[0089] See also Figure 4 As shown, the present application also provides a control method for a ground source heat pump system, wherein the ground source heat pump system includes a heat exchange device, which is arranged in a geothermal environment and is at least partially located in a target space that needs to be temperature regulated, for performing heat exchange with the target space.

[0090] The control method includes step S50 , step S60 and step S70 .

[0091] In step S50, operating parameters of the target space and / or the heat exchange device are obtained.

[0092] In step S60 , execution data associated with the operating parameters is obtained from the database of the data management module 60 of the ground source heat pump intelligent control system model 100 according to the operating parameters.

[0093] In step S70 , the heat exchange device is controlled to adjust the temperature of the target space to the target temperature according to the execution data.

[0094] When the database is applied to a ground-source heat pump system, it can quickly retrieve the associated data of the operating parameters of the corresponding target space and / or heat exchange device in the database, and achieve rapid response based on the prediction data, control instructions and execution data in the associated data, thereby reducing the processing and response time of the ground-source heat pump system and providing data support for the long-term operation evaluation, fault diagnosis and maintenance of the ground-source heat pump system.

[0095] In practical applications, taking the target space as the indoor environment of a building as an example, the air-conditioning control system of the indoor environment of the building can intelligently adjust the indoor environment temperature according to the control method of the ground source heat pump system of this embodiment, so that the indoor environment temperature can always be within a comfortable temperature range.

[0096] The present application also provides a storage device that stores a database of the data management module 60 of the ground source heat pump intelligent control system model 100.

[0097] A storage device may be any electronic, magnetic, optical, or other physical storage device that can contain or store information, such as executable instructions, data, and the like. For example, a storage device may be: RAM (Random Access Memory), volatile memory, non-volatile memory, flash memory, a storage drive (such as a hard disk drive), a solid-state drive, any type of storage disk (such as a CD, DVD, etc.), or similar storage devices, or a combination thereof.

[0098] In practical applications, taking the target space as a building's indoor environment as an example, the air-conditioning control system of the building's indoor environment can intelligently adjust the indoor environment temperature based on the database stored in the data management module of the storage device of this embodiment, so that the indoor environment temperature can always be within a comfortable temperature range.

[0099] See also Figure 5 As shown, the present application also provides a control device 200 for a geothermal heat pump system, comprising one or more processors 210 for implementing a control method for a geothermal heat pump system. The control device 200 may include a processor 210, a memory storing machine-executable instructions, and a communication interface 220. The processor 210 and the memory may communicate via a system bus. Furthermore, the processor 210 may execute the control method for a geothermal heat pump system by reading and executing machine-executable instructions corresponding to data retrieval or data return logic in the memory.

[0100] In actual applications, taking the target space as the indoor environment of a building and the control device as the air-conditioning control system of the indoor environment of the building as an example, the air-conditioning control system can intelligently adjust the indoor environment temperature according to the control device 200 of the ground source heat pump system of this embodiment, so that the indoor environment temperature can always be within a comfortable temperature range.

[0101] The present application also provides a computer-readable storage medium having a program stored thereon, which, when executed by the processor 210, implements a control method for a ground source heat pump system.

[0102] A computer-readable storage medium may be any electronic, magnetic, optical, or other physical storage device that can contain or store information, such as executable instructions, data, and the like. For example, the storage device may be a RAM (Random Access Memory), a volatile memory, a non-volatile memory, a flash memory, a storage drive (such as a hard disk drive), a solid-state drive, any type of storage disk (such as a CD, DVD, etc.), or similar storage media, or a combination thereof.

[0103] In this way, the database of the data management module 60 of the ground source heat pump intelligent control system model 100 can be applied to the actual ground source heat pump system, so as to quickly retrieve the associated data of the operating parameters of the corresponding target space and / or heat exchange device in the database, and achieve rapid response based on the prediction data, control instructions and execution data in the associated data, thereby reducing the processing and response time of the ground source heat pump system and providing data support for the long-term operation evaluation, fault diagnosis and maintenance of the ground source heat pump system.

[0104] In practical applications, taking the target space as the indoor environment of a building and the control device as the air-conditioning control system of the indoor environment of the building as an example, the air-conditioning control system can intelligently adjust the indoor environment temperature according to the computer-readable storage medium of this embodiment so that the indoor environment temperature can always be within a comfortable temperature range.

[0105] It should be noted that the technical solutions or technical features described in the above embodiments can be combined or supplemented with each other without conflict. The scope of protection of this application is not limited to the precise structures described in the above embodiments and shown in the accompanying drawings; all modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this application shall be included in the scope of protection of this application.

Claims

1. A ground source heat pump intelligent control system model, characterized in that: include: Environmental simulation module, used to simulate the target space that needs temperature regulation; Ground source heat exchange module, used to simulate heat exchange with geothermal environment; A data acquisition module, configured to detect simulation parameters of the environmental simulation module and / or the ground source heat exchange module as detection data; an intelligent control module, electrically connected to the data acquisition module, for predicting the energy consumption pattern and / or heat load demand of the environmental simulation module based on the detection data, and generating control instructions based on the predicted data; an execution module, electrically connected to the intelligent control module, for adjusting the temperature of the environmental simulation module to a target temperature according to the control instruction and generating corresponding execution data; The data management module is electrically connected to the data acquisition module, the intelligent control module and the execution module, and is used to integrate the detection data, the prediction data, the control instructions, and the execution data to form related data corresponding to the relationship and store them as a database.

2. The ground source heat pump intelligent control system model according to claim 1 is characterized in that: The environmental simulation module includes: A simulation container, used to simulate a target space that needs to be temperature regulated; The temperature simulator is arranged in the simulation container and is used to simulate different temperature loads.

3. The ground source heat pump intelligent control system model according to claim 2 is characterized in that: The ground source heat exchange module includes: A box body, wherein an environmental medium for simulating a ground source environment is provided in the box body; a closed-loop pipeline, wherein a heat exchange medium circulates in the closed-loop pipeline; the closed-loop pipeline is immersed in the ambient medium and is at least partially located in the simulation container, and is used to exchange heat between the ambient medium and the simulation container; The execution module includes: a water pump, provided in the closed-loop pipeline, for adjusting the flow rate and / or flow of the heat exchange medium; The controller is electrically connected to the intelligent control module and the water pump, and is used to control the start and stop and / or speed of the water pump according to the control instruction to adjust the flow rate and / or flow of the heat exchange medium.

4. The ground source heat pump intelligent control system model according to claim 3 is characterized in that: The data acquisition module includes at least one of the following: a temperature sensor, disposed at least one of the simulation container, the housing, the liquid inlet of the closed-loop pipeline, and the liquid outlet of the closed-loop pipeline, for detecting at least one of the temperature inside the simulation container, the temperature outside the simulation container, the temperature inside the housing, the temperature of the heat exchange medium entering the closed-loop pipeline, and the temperature of the heat exchange medium flowing out of the closed-loop pipeline; A flow rate sensor is provided in the closed-loop pipeline and is used to detect the flow rate of the heat exchange medium; A flow sensor, provided in the closed-loop pipeline, for detecting the flow of the heat exchange medium; a humidity sensor disposed at at least one of the interior of the simulated container, the exterior of the simulated container, the interior of the box, and the exterior of the box, for detecting at least one of the humidity inside the simulated container, the humidity outside the simulated container, the humidity inside the box, and the humidity outside the box; a pressure sensor, disposed in the closed-loop pipeline, for detecting the hydraulic pressure of the heat exchange medium; The meteorological sensor is arranged outside the simulation container and is used to detect external environmental parameters of the simulation container, wherein the external environmental parameters include wind speed.

5. The ground source heat pump intelligent control system model according to claim 1 is characterized in that: It also includes a data processing module, which is electrically connected to the data acquisition module and is used to process the simulation parameters to obtain processed data; The intelligent control module includes: an analysis and modeling module, electrically connected to the data processing module, for establishing a data model corresponding to the environmental simulation module and the ground source heat exchange module based on historical data of the processed data; a prediction and optimization module, electrically connected to the data processing module and the analysis and modeling module, for predicting the energy consumption pattern and / or heat load demand of the environmental simulation module based on the data model and the real-time data of the processed data, and generating prediction data; The instruction generation module is electrically connected to the prediction optimization module and is used to generate control instructions according to the prediction data.

6. The ground source heat pump intelligent control system model according to claim 5, characterized in that: The data management module is electrically connected to the data processing module, the analysis and modeling module, the prediction and optimization module, and the instruction generation module, and is used to store the real-time data and historical data of the processed data, the historical data of the data model, the prediction data, and the control instructions.

7. The ground source heat pump intelligent control system model according to claim 5, characterized in that: The analysis and modeling module uses at least one of statistical methods, machine learning and deep learning algorithms to analyze the historical data of the processed data and establish the data model.

8. The ground source heat pump intelligent control system model according to claim 5, characterized in that: The data processing module includes at least one of a microcontroller and a PLC, and is used to periodically acquire the detection data and convert or filter at least part of the detection data.

9. The ground source heat pump intelligent control system model according to claim 5, characterized in that: It also includes a visualization module, which is electrically connected to at least one of the data acquisition module, the data processing module, the intelligent control module and the execution module, and is used to display at least one of the detection data, the processing data, the prediction data, the control instructions, and the execution data.

10. A data management method for a ground source heat pump intelligent control system model, characterized in that: The ground source heat pump intelligent control system model includes: Environmental simulation module, used to simulate the target space that needs temperature regulation; Ground source heat exchange module, used to simulate heat exchange with geothermal environment; an execution module, configured to adjust the temperature of the environment simulation module; The data management method comprises: Acquiring simulation parameters of the environmental simulation module and / or the ground source heat exchange module as detection data; Predicting the energy consumption pattern and / or heat load demand of the environmental simulation module based on the detection data, and generating control instructions based on the predicted data; According to the control instruction, controlling the execution module to adjust the temperature of the environment simulation module to the target temperature and generating corresponding execution data; The detection data, the prediction data, the control instructions, and the execution data are integrated to form related data corresponding to the relationships, and stored as a database.

11. A method for controlling a ground source heat pump system, characterized in that: The ground source heat pump system includes a heat exchange device, which is arranged in a geothermal environment and at least partially located in a target space that needs to be temperature regulated, and is used to exchange heat with the target space; The control method includes: Obtaining operating parameters of the target space and / or the heat exchange device (parameters in actual scenarios); According to the operating parameters, acquiring execution data associated with the operating parameters in a database of a data management module of a ground source heat pump intelligent control system model according to any one of claims 1 to 9; According to the execution data, the heat exchange device is controlled to adjust the temperature of the target space to a target temperature.

12. A storage device storing a database of a data management module of a ground source heat pump intelligent control system model according to any one of claims 1 to 9.

13. A control device for a ground source heat pump system, comprising: One or more processors, configured to implement the control method according to claim 11.

14. A computer-readable storage medium, characterized in that A program is stored thereon, and when the program is executed by a processor, the control method according to claim 11 is implemented.

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