Protective device and control method for improving energy efficiency of heat pump

Abstract

The invention provides a protection device and control method for improving the energy efficiency of a heat pump, and the method comprises the steps: obtaining the real-time monitored operation state of the heat pump through a temperature sensor, a pressure sensor, an air flow sensor and other devices, and the operation state comprises the operation temperature, the fan state, the defrosting condition and other monitoring data; monitoring data are fed back to a controller of the heat pump, and whether the heat pump operates normally or stops or needs to be defrosted or not is judged; when the heat pump is in a normal operation state, the opening angle of the blind window is adjusted; when the heat pump stops, is powered off or enters a defrosting stage, an instruction is sent out, and the protection device is automatically closed; when the heat pump meets the defrosting condition, the blind window is automatically closed; and when the heat pump completes defrosting and the condition of quitting defrosting is detected, the blind window is opened again to recover to the fully-open state, and the heat pump operates normally. The device comprises a data acquisition module, a state judgment module and a result output module. The efficiency of the heat pump system is maximized, and unnecessary energy consumption is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of air energy heat pumps, and in particular to a protection device and a control method for improving the energy efficiency of a heat pump. Background Art

[0002] An air source heat pump is a device that uses the heat energy in the air for heating or cooling. Through a refrigeration cycle process, the heat in the air is transferred to water or air, thereby achieving indoor temperature control. The protective nets of existing low-temperature air source heat pumps are relatively simple and cannot achieve air volume regulation. The entire heat pump system generally has uneven upper and lower air volumes, which affects the energy efficiency of the heat pump. The existing low-temperature air source heat pumps have varying technologies in defrosting, and defrosting energy consumption has become the most important factor affecting heat pumps under low-temperature conditions. The current mainstream heat pumps have a very large amount of heat dissipation in the low-temperature environment when defrosting under low-temperature conditions, resulting in very high defrosting energy consumption.

[0003] Prior art 1, application number: CN202311421658.5 discloses a control method, device, and air source heat pump system for an air source heat pump system. By obtaining the current start status of each group of air source heat pump units, and detecting the inlet and outlet water temperature difference, load rate, cooling capacity, and heating capacity of the system, different control strategies are adopted for each group of air source heat pump units that are turned on in different working modes. Then, through the dynamic grouping control method, the water mixing problem caused by the asynchronous start and stop frequency of each group of air source heat pump units in the traditional system is solved, thereby improving the system's operating energy efficiency. However, its structure is relatively complex, the operation is cumbersome, and the use and manufacturing costs of the air source heat pump are increased.

[0004] Prior art 2, application number: CN202410496501.7 discloses an air source heat pump control method, system and heat pump, including data processing of the historical operation data of the air source heat pump to obtain the performance loss characterization value of the air source heat pump, and at the same time, combined with monitoring of the subordinate operation area of ​​the air source heat pump, the temperature adjustment reference rate of the air source heat pump during actual operation is obtained, and the compressor target execution adjustment speed of the air source heat pump is analyzed to finally achieve precise control of the compressor speed of the air source heat pump, so that the air source heat pump can dynamically adjust the compressor of the air source heat pump according to real-time demand, which can improve the energy efficiency of the air source heat pump and reduce energy consumption, and provide effective support for the control effect and operation efficiency of the air source heat pump, thereby effectively optimizing the operation efficiency and overall control coordination of the air source heat pump. However, the structure of the protective net is relatively simple, and the air volume cannot be adjusted, which affects the energy efficiency of the heat pump.

[0005] Prior art three, application number: CN 202310930326.3 discloses a design and selection method for frost-suppressing air source heat pumps suitable for different regions, including the following steps: a conventional air source heat pump temperature drop ΔTa<6℃ achieves frost suppression energy efficiency; when ΔTa is greater than 6℃, a frost suppression heat pump needs to be selected; when 6<ΔTa≤8, select a frost suppression heat pump with CICO=8, when 8<ΔTa≤10, select a frost suppression heat pump with CICO=10, and when 10<ΔTa, select a frost suppression heat pump with CICO=12; calculate the defrosting equivalent temperature drop ΔTa` of the frost suppression air source heat pump under the CICO; verify whether the selected frost suppression air source heat pump meets the frost suppression energy efficiency, if it does not meet ΔTa`<6℃, reselect the air source heat pump CICO; until the corresponding region meets the frost suppression energy efficiency, that is, the design and selection of the frost suppression air source heat pump; although it is suitable for different regions and different climatic conditions. However, the amount of heat dissipated in the low-temperature environment during defrosting is very large, resulting in very high defrosting energy consumption.

[0006] At present, the existing technologies 1, 2 and 3 have the problem that the protective net structure is simple and the air volume cannot be adjusted, which affects the energy efficiency of the heat pump; the heat dissipation to the low-temperature environment during defrosting is large, resulting in high energy consumption for defrosting. Therefore, the present invention provides a protective device and a control method for improving the energy efficiency of the heat pump, which is installed at the air inlet position of the heat pump fin heat exchanger, and adopts an electric openable and closable shutter design. The shutter can be adjusted to a full opening angle according to the height of the fin and the air volume of the fan to achieve uniform air volume above and below the fin heat exchanger. At the same time, it can be closed when the heat pump is not in use or defrosting, so as to protect the heat pump fin heat exchanger and reduce the energy consumption of defrosting. Summary of the invention

[0007] In order to solve the above technical problems, the present invention provides a protection device and a control method for improving the energy efficiency of a heat pump, comprising the following steps:

[0008] Obtain real-time monitoring of heat pump operating status;

[0009] Feedback the monitoring data to the heat pump controller to determine whether the heat pump is in normal operation, shut down, or needs to be defrosted;

[0010] When the heat pump is in normal operation, the shutters will be adjusted to open at an angle; when the heat pump is shut down, powered off, or enters the defrost stage, a command will be issued to automatically close the protective device; when the heat pump reaches the defrost conditions, the shutters will be automatically closed; when the heat pump completes defrosting and detects the conditions to exit defrost, the shutters will be reopened to the fully open state, and the heat pump will operate normally.

[0011] Optionally, the process of acquiring monitoring data includes the following steps:

[0012] Obtain the target demand of the monitoring data, analyze the target demand, and obtain the specific type of the content corresponding to the target demand; perform three-dimensional modeling on the heat pump, obtain the result position coordinates corresponding to the target demand based on the three-dimensional modeling, map the position coordinates with the target demand, and form a relationship mapping table;

[0013] According to the relationship mapping table, the device corresponding to the specific type is searched in the database to obtain the performance parameters of the device; the location coordinates are used as the unique identifier to distinguish the location of the device, and the performance parameters and coordinates of the device are added to the relationship mapping table to correspond to the target requirements;

[0014] All devices are linked to form a monitoring data collection network to summarize the content of the monitoring data; the monitoring data collection network issues a startup instruction according to the preset collection cycle of the monitoring data, all devices begin to initialize and collect the corresponding monitoring data, and the location coordinates and monitoring data are packaged and sent to the heat pump, and the controller determines the status of the heat pump.

[0015] Optionally, the process of determining the state of the heat pump comprises the following steps:

[0016] The controller receives real-time data from temperature sensors, pressure sensors and air flow sensors to form a multi-dimensional data packet; the data packet contains key information such as operating temperature, fan status, ambient temperature and compressor pressure; multiple sets of thresholds set by the heat pump are obtained, and the thresholds are used to define normal operation, shutdown and defrosting conditions;

[0017] According to the key information of the data packet, a comparison is performed with one item corresponding to the multiple groups of thresholds, and the status content of the heat pump is obtained according to the comparison result;

[0018] The judgment result is fed back to the heat pump controller, and the corresponding action is executed according to the program set inside the controller; after each data collection, the controller cross-verifies the operating status and obtains the reliability of the operating status through data trend analysis.

[0019] The optional, multiple-threshold process includes the following steps:

[0020] The insulation performance and usage pattern history information of the user can be analyzed to obtain the user's past usage habits and make personalized demand forecasts based on seasonal changes and energy consumption patterns;

[0021] Establish a rule engine between historical data and operating conditions, and automatically generate a dynamic combination of operating thresholds by analyzing historical data; when the heat pump runs for a certain period of time according to the set threshold, evaluate the current energy efficiency and operating status. If the operating efficiency or energy consumption in the evaluation result exceeds the corresponding evaluation threshold, automatically optimize the threshold configuration and adjust the evaluation result to within the evaluation threshold;

[0022] Set up independent threshold groups for operating temperature, fan status, ambient temperature and compressor pressure thresholds according to the usage environment, manage them in groups, and define the priority of each threshold.

[0023] Optionally, the priority of setting each threshold value includes that under extremely low temperature conditions, the threshold setting of the ambient temperature takes precedence over the setting of the operating pressure.

[0024] Optionally, the process of processing the real-time monitoring data includes the following steps:

[0025] Use data streams to continuously acquire new data and match it with the rules in the database; compare the environmental conditions captured in the real-time data stream with the conditions in the rule base; determine the rules that meet the conditions and form a dynamic threshold combination;

[0026] Compare the real-time environment parameters with the conditions in the rule base, combine all the rules that meet the conditions to form a new dynamic threshold set; use the currently collected real-time data to determine the current state;

[0027] Use feedback to generate adjustment suggestions based on real-time status.

[0028] Optionally, the switching control process of the blinds includes the following steps:

[0029] Obtain the target state of the heat pump being in normal operation, shutdown or in need of defrosting, and call the corresponding shutter control program according to the target state, the shutter control program is closed and opened;

[0030] When the instruction is for normal operation, the servo motor is controlled by the PWM signal to drive the shutter to adjust the opening angle to 60°; when the instruction is for shutdown or defrosting is required, the controller sends a shutter closing instruction, and the servo motor closes the shutter; in the shutdown state, the shutter is completely closed, that is, 0 degrees, and the shutter closes quickly when defrosting is required;

[0031] Check the temperature and humidity regularly to confirm whether the defrosting operation is complete; the controller sends a reopening command to the blinds and adjusts the blinds through the servo motor; the blinds opening angle is automatically adjusted according to the wind speed and outside temperature.

[0032] Optionally, the opening angle of the shutters is adjusted to 60°.

[0033] Optionally, the process of automatically adjusting the shutter opening angle according to the wind speed and the outside temperature includes the following steps:

[0034] Through the logic judgment model, determine the impact of the current external environment on the shutter opening angle according to the combination of wind speed and temperature;

[0035] After calculating the required opening angle, the controller sends a control signal to the servo motor; the position sensor continuously monitors the actual opening angle of the blinds. If a deviation is found, the controller automatically sends a correction command to adjust the blinds to the ideal state;

[0036] The controller continuously monitors the external environment and internal status, re-evaluates whether the shutter opening angle needs to be adjusted every time the wind speed or temperature changes, and re-evaluates and confirms the status after each adjustment; stores environmental data and corresponding opening angle settings to optimize control strategies.

[0037] The present invention provides a protective device for improving the energy efficiency of a heat pump, comprising:

[0038] The data acquisition module is responsible for acquiring the real-time monitoring of the heat pump operation status;

[0039] The status judgment module is responsible for feeding back the monitoring data to the heat pump controller to determine whether the heat pump is in normal operation, shut down, or needs to be defrosted;

[0040] The result output module is responsible for adjusting the opening angle of the blinds when the heat pump is in normal operation; when the heat pump is shut down, powered off or enters the defrost stage, it will issue a command to automatically close the protective device; when the heat pump reaches the defrost conditions, the blinds will be automatically closed; when the heat pump completes defrosting and detects the conditions for exiting defrost, the blinds will be reopened to the fully open state, and the heat pump will operate normally.

[0041] The present invention obtains real-time monitoring data, uses devices such as temperature sensors, pressure sensors and wind flow sensors to monitor the operating status of the heat pump in real time, and obtains key data (such as operating temperature, fan status and defrosting conditions); the data is fed back to the heat pump control system to help determine the current status (normal operation, shutdown or defrosting). Significance: It realizes dynamic monitoring of the heat pump system, so that it can respond to different operating conditions in a timely manner to ensure that the equipment works in the best performance state; improves the intelligence level of the system, provides accurate basic data for subsequent decision-making, and avoids non-optimal operations caused by changes in the external environment. Adjust the opening angle of the blinds. Under the normal operating state of the heat pump, the opening angle of the blinds is automatically adjusted to optimize the way air flows into the heat exchanger and enhance the heat exchange efficiency; when the heat pump is shut down, powered off or enters the defrosting state, an instruction is issued to automatically close the protective device to protect the heat pump and save energy. Significance: Adjust the air volume according to the specific operating conditions to ensure the effective use of heat and prevent heat energy loss, thereby improving the overall energy efficiency of the heat pump; by automatically closing the device, energy consumption in unnecessary situations is avoided, the equipment is protected and the service life of the equipment is extended. Automatically close and reopen the shutters. When the heat pump reaches the defrosting conditions, the shutters are automatically closed to prevent the outside low-temperature air from directly contacting the heat exchanger, greatly reducing the heat loss during defrosting; after defrosting is completed, when the relevant conditions are detected, the shutters are reopened to resume normal operation. Significance: Improves the efficiency of the heat pump during the defrosting process, ensures heat retention, reduces energy consumption, and improves the overall energy efficiency of the system; through intelligent control, avoids the influence of human factors on the operating efficiency of the equipment, and ensures the efficient and stable operation of the heat pump under different working conditions.

[0042] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0043] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0045] Figure 1 This is a flow chart of a control method for a protective device for improving the energy efficiency of a heat pump in Example 1 of the present invention;

[0046] Figure 2 This is a diagram of the process of acquiring monitoring data in Example 2 of the present invention;

[0047] Figure 3 A process diagram for determining the state of a heat pump in Embodiment 3 of the present invention;

[0048] Figure 4 This is a process diagram of multiple groups of thresholds in Example 4 of the present invention;

[0049] Figure 5 A process diagram of automatically generating a dynamic combination of operating thresholds in Embodiment 5 of the present invention;

[0050] Figure 6 A process diagram for establishing a comprehensive heat pump operation rule base in Example 6 of the present invention;

[0051] Figure 7 This is a process diagram of processing real-time monitoring data in Example 7 of the present invention;

[0052] Figure 8 This is a diagram of the switching control process of the blinds in Example 8 of the present invention;

[0053] Fig. 9 This is a process diagram of automatically adjusting the shutter opening angle according to the wind speed and the outside temperature in Example 9 of the present invention;

[0054] Fig.10 This is a block diagram of a protective device for improving the energy efficiency of a heat pump in Example 10 of the present invention. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application. The singular forms of "a", "said" and "the" used in the embodiments of the present application are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in this article refers to and includes any or all possible combinations of one or more associated listed items.

[0057] When the following description relates to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are only examples of devices and methods consistent with some aspects of the present application. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and do not have to be used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0058] Example 1: Figure 1 As shown, an embodiment of the present invention provides a control method for a protective device for improving the energy efficiency of a heat pump, comprising the following steps:

[0059] S100: obtaining real-time monitoring of the heat pump operating status, including monitoring data such as operating temperature, fan status and defrosting conditions, through devices such as temperature sensors, pressure sensors and air flow sensors;

[0060] S200: Feedback the monitoring data to the controller of the heat pump to determine whether the heat pump is in normal operation, shut down, or needs to be defrosted;

[0061] S300: When the heat pump is in normal operation, the shutters will be adjusted to open at an angle; when the heat pump is shut down, powered off, or enters the defrost stage, a command will be issued to automatically close the protective device; when the heat pump reaches the defrost conditions, the shutters will be automatically closed; when the heat pump completes defrosting and detects the conditions to exit defrosting, the shutters will be reopened to return to the fully open state, and the heat pump will operate normally.

[0062] The working principle and beneficial effects of the above technical solution are as follows: the present embodiment first obtains the real-time monitoring of the heat pump operating state, including monitoring data such as operating temperature, fan state and defrosting conditions, through devices such as temperature sensors, pressure sensors and wind flow sensors; secondly, the monitoring data is fed back to the controller of the heat pump to determine whether the heat pump is in normal operation, shutdown or needs to be defrosted; finally, when the heat pump is in normal operation, the shutter is adjusted to an opening angle; when the heat pump is shut down, powered off or enters the defrosting stage, an instruction will be issued to automatically close the protective device; finally, when the heat pump reaches the defrosting condition, the shutter is automatically closed; when the heat pump completes defrosting and detects the conditions for exiting defrosting, the shutter will be reopened and restored to a fully open state, and the heat pump operates normally. Step S100 of the above scheme obtains real-time monitoring data, uses devices such as temperature sensors, pressure sensors and wind flow sensors to monitor the operating state of the heat pump in real time, and obtains key data (such as operating temperature, fan state and defrosting conditions); step S200 data is fed back to the heat pump control system to help determine the current state (normal operation, shutdown or need to defrost). Significance: Dynamic monitoring of the heat pump system is achieved so that it can respond to different operating conditions in a timely manner and ensure that the equipment works in the best performance state; the intelligence of the system is improved to provide accurate basic data for subsequent decision-making and avoid non-optimal operation caused by changes in the external environment. Step S300: Adjust the shutter opening angle. Under normal operation of the heat pump, the shutter opening angle is automatically adjusted to optimize the way air flows into the heat exchanger and enhance the heat exchange efficiency; when the heat pump is shut down, powered off or enters the defrosting state, an instruction is issued to automatically close the protective device to protect the heat pump and save energy. Significance: Adjust the air volume according to the specific operating conditions to ensure the effective use of heat and prevent heat loss, thereby improving the overall energy efficiency of the heat pump; through the automatic closing device, energy consumption in unnecessary situations is avoided, the equipment is protected and the service life of the equipment is extended; the shutters are automatically closed and reopened. When the heat pump reaches the defrosting condition, the shutters are automatically closed to prevent the low-temperature air outside from directly contacting the heat exchanger, greatly reducing the heat loss during defrosting; after defrosting is completed, when the relevant conditions are detected, the shutters are reopened to resume normal operation. Significance: It improves the efficiency of the heat pump during the defrosting process, ensures heat retention, reduces energy consumption, and improves the overall energy efficiency of the system; through intelligent control, it avoids the impact of human factors on the operating efficiency of the equipment, and ensures the efficient and stable operation of the heat pump under different working conditions.

[0063] In this embodiment, when the heat pump is operating normally, the protective device is fully opened to the most suitable opening angle originally designed. When the heat pump is shut down or powered off, the protective device is automatically closed. When the heat pump reaches the defrosting condition and turns off the fan, the protective device is turned off. The heat pump performs defrosting in the closed state. Since the protective device isolates the contact between the heat exchanger and the low-temperature air flowing outside, it avoids additional heat loss during defrosting, greatly improving the defrosting efficiency; when the heat pump reaches the condition to exit defrosting and turns on the fan again, the protective device returns to the fully open state and continues to operate normally.

[0064] Compared with the existing technology, this embodiment reduces heat loss during defrosting, improves defrosting efficiency, and reduces system energy consumption; shortens defrosting time and reduces defrosting power consumption; improves defrosting effect, and due to small heat loss, defrosting effect is better and defrosting is more thorough, which improves the reliability of the unit under harsh working conditions; improves the uniformity of air volume during normal operation of the heat pump, improves heat pump efficiency, and reduces non-uniformity of frosting. Compared with the existing technology, this embodiment not only improves the operating efficiency of the heat pump, but more importantly, greatly reduces the heat loss during the defrosting process, and improves the overall operating efficiency of the heat pump.

[0065] In summary, the three steps of this embodiment maximize the efficiency of the heat pump system and reduce unnecessary energy consumption through precise monitoring, intelligent control and optimized management mechanism. At the same time, by strengthening the self-regulation ability of the equipment, the operating reliability and economic benefits of the entire system are improved, achieving the purpose of improving the energy efficiency of the heat pump.

[0066] Example 2: Figure 2 As shown, based on Example 1, the monitoring data acquisition process provided by the embodiment of the present invention includes the following steps:

[0067] S101: Obtain target requirements of monitoring data, analyze the target requirements, and obtain specific types of content corresponding to the target requirements; perform three-dimensional modeling on the heat pump, obtain result position coordinates corresponding to the target requirements according to the three-dimensional modeling, and map the position coordinates with the target requirements to form a relationship mapping table;

[0068] S102: searching for a device corresponding to a specific type in a database according to a relationship mapping table, and obtaining performance parameters of the device; using the location coordinates as a unique identifier to distinguish the location of the device, and adding the performance parameters and coordinates of the device to the relationship mapping table to correspond to the target requirements;

[0069] S103: All devices are associated to form a monitoring data collection network to summarize the content of the monitoring data; the monitoring data collection network issues a startup instruction according to the preset collection cycle of the monitoring data, all devices begin to initialize and collect the corresponding monitoring data, and the location coordinates and monitoring data are packaged and sent to the heat pump, and the controller determines the status of the heat pump.

[0070] The working principle and beneficial effects of the above technical solution are as follows: this embodiment first obtains the target demand of the monitoring data, analyzes the target demand, and obtains the specific type of content corresponding to the target demand; performs three-dimensional modeling on the heat pump, obtains the result position coordinates corresponding to the target demand according to the three-dimensional modeling, maps the position coordinates with the target demand, and forms a relationship mapping table; secondly, searches the database for the device corresponding to the specific type according to the relationship mapping table, and obtains the performance parameters of the device; uses the position coordinates as a unique identifier to distinguish the position of the device, and adds the performance parameters and coordinates of the device to the relationship mapping table, corresponding to the target demand; finally, all devices are associated to form a monitoring data acquisition network to summarize the content of the monitoring data; the monitoring data acquisition network issues a start-up instruction according to the preset acquisition cycle of the monitoring data, all devices start to initialize, and collect the corresponding monitoring data, and packages the position coordinates and monitoring data and sends them to the heat pump, and the controller determines the status of the heat pump. Step S101 of the above scheme obtains the target demand of monitoring data, and clarifies the data types (such as temperature, pressure, wind flow, etc.) required for different monitoring tasks by analyzing the target demand of monitoring; establishes a three-dimensional model of the heat pump to provide basic support for the positioning and spatial identification of subsequent monitoring data; maps the target demand with the corresponding monitoring result position coordinates, generates a relationship mapping table, and forms a clear data processing framework. Significance: It provides a systematic method to clarify the monitoring content and target demand, laying the foundation for subsequent data acquisition; three-dimensional modeling provides an intuitive view, which helps to efficiently identify the required monitoring location and ensure the accuracy of monitoring data; the relationship mapping table effectively connects the relationship between the target demand and the actual monitoring equipment, and enhances the maintainability and scalability of the system. Step S102 searches for devices and performance parameters, and uses the relationship mapping table to quickly search for monitoring devices and their performance parameters that match the specific type of requirements in the database; uses the location coordinates as the unique identifier to distinguish the location of the device, so that the monitoring device has clarity in the network; associates the performance parameters of the device and its coordinates with the target demand to enhance the relevance and accuracy of the data. Significance: Realize dynamic identification and data integration of devices to ensure effective use and information update of each device in the monitoring system; clarify the geographical location of the device to achieve accurate data collection and provide a basis for subsequent data analysis; integrate the performance parameters of the device in the relationship mapping table to provide data support for the optimization of system operation, which is helpful for the decision-making and control of the overall system. Step S103 forms a monitoring data acquisition network. By associating all monitoring devices, a complete monitoring data acquisition network is formed to enhance the coordination and data sharing capabilities of the system; issue a start-up instruction according to the set time period to ensure that all devices initialize and collect data at the appropriate time node; package the collected monitoring data and its location coordinates and send them to the heat pump. The controller can instantly judge the status of the heat pump based on the received data and make corresponding adjustments.Significance: An efficient monitoring network has been built to enhance the real-time and responsiveness of the system, while ensuring comprehensive collection of monitoring data; regular data collection ensures that the operating status of the heat pump is always under monitoring, expanding preventive maintenance management capabilities; the real-time feedback mechanism provides effective data support for the optimal control of the heat pump, enabling the system to maintain optimal performance under different operating conditions.

[0071] In summary, the acquisition process of monitoring data in this embodiment forms a complete closed loop from demand analysis to device search to data collection and transmission, ensuring real-time, accurate and comprehensive monitoring of the heat pump system. It effectively improves the intelligence level and operation efficiency of the system and lays a solid foundation for subsequent control and optimization.

[0072] Example 3: Figure 3 As shown, based on Example 1, the process of determining the state of the heat pump provided in the embodiment of the present invention includes the following steps:

[0073] S201: Implementing the controller to receive real-time data from the temperature sensor, the pressure sensor and the air flow sensor to form a multi-dimensional data packet; the data packet includes key information such as the operating temperature, the fan status, the ambient temperature and the compressor pressure; obtaining multiple groups of thresholds set by the heat pump, the thresholds are used to define normal operation, shutdown and defrosting conditions;

[0074] S202: comparing the key information of the data packet with an item corresponding to the multiple groups of thresholds, and obtaining the status content of the heat pump according to the comparison result;

[0075] Among them, the normal operating state is judged, when the monitored temperature, pressure and air flow are all within the threshold range, and the fan is working normally (for example, the fan operating frequency is within the set range), the controller determines that the heat pump is in a normal operating state;

[0076] Shutdown state recognition: when the temperature is lower than the set minimum threshold, the compressor pressure falls back to a safe range (for example, lower than the static pressure threshold), or the fan state is detected as abnormal (such as stalled), the controller immediately determines that the heat pump is in shutdown state;

[0077] Defrost condition detection: when the temperature sensor detects frost on the evaporator surface and records a specific temperature (e.g. below 0°C), and the air flow sensor detects that the air flow rate drops to a too low range (which may indicate that frost causes poor air flow), the controller makes a real-time judgment and issues a command to enter the defrost state;

[0078] S203: Feedback the judgment result to the controller of the heat pump, and execute corresponding actions according to the program set inside the controller; after each data collection, the controller cross-verifies the operating status and obtains the reliability of the operating status through data trend analysis.

[0079] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first realizes that the controller receives real-time data from temperature sensors, pressure sensors and air flow sensors to form a multi-dimensional data packet; the data packet contains key information such as operating temperature, fan status, ambient temperature and compressor pressure; multiple groups of thresholds set by the heat pump are obtained, and the thresholds are used to define normal operation, shutdown and defrost conditions; secondly, according to the key information of the data packet, a comparison is performed with an item corresponding to the multiple groups of thresholds, and the status content of the heat pump is obtained according to the comparison results; among them, the normal operating status is judged, when the monitored temperature, pressure and air flow are all within the threshold range, and the fan is working normally (for example, the fan operating frequency is within the set range), the controller determines that the heat pump is in normal operating state; shutdown state Identification: When the monitored temperature is lower than the set minimum threshold, the compressor pressure falls back to a safe range (for example, lower than the static pressure threshold), or the fan status is detected as abnormal (such as stalling), the controller immediately determines that the heat pump is in a shutdown state; defrost condition detection: When the temperature sensor detects frost on the evaporator surface and records a specific temperature (for example, lower than 0°C), and the air flow sensor detects that the air flow rate drops to a too low range (which may indicate that frost causes poor air flow), the controller makes a real-time judgment and issues an instruction to enter the defrost state; finally, the judgment result is fed back to the heat pump controller, and the corresponding action is executed according to the program set inside the controller; after each data collection, the controller cross-verifies the operating status and obtains the reliability of the operating status through data trend analysis. Step S201 of the above scheme enables the controller to receive sensor data. The controller can simultaneously receive real-time data information from temperature sensors, pressure sensors and air flow sensors to form a complete multi-dimensional data packet; integration makes the monitoring information more comprehensive, covering all key factors affecting the operating status of the heat pump; the data packet contains key parameters such as operating temperature, fan status, ambient temperature and compressor pressure, providing the necessary basis for status judgment; multiple sets of thresholds set by the heat pump are obtained. The threshold is an important basis for judging the operating status of the system and defines the operating conditions of normal operation, shutdown and defrosting. Significance: Through all-round data collection, a panoramic view of the operating status of the heat pump is provided, providing a reliable basis for subsequent judgments; ensuring that the controller can use multi-parameter information when making decisions to improve the accuracy and rationality of judgments. Step S202 performance comparison and status judgment, the controller compares the key information in the data packet with the set threshold value, and can clearly judge the operating status of the heat pump; the comparison mechanism can evaluate different operating parameters, improving the efficiency of data use; by confirming that all monitoring parameters are within the set range, it can draw a conclusion of normal operation to ensure efficient operation of the system; promptly identify shutdown conditions to avoid energy waste and loss caused by system failures; judge the necessity of defrosting by monitoring the evaporator temperature and air flow rate, and issue instructions in time to solve the frosting problem, ensuring the normal operation of the heat pump in a cold environment.Significance: Through real-time status judgment, early warning can be given before the problem occurs, thus avoiding more serious failures; ensuring that the heat pump can operate effectively under various environmental conditions, improving the reliability of the system and user experience. Step S203 feedback and cross-validation, timely feedback the judgment results to the heat pump controller, the controller can quickly perform corresponding operations (such as adjusting the fan speed, starting defrosting, etc.) according to the judgment results, and realize real-time control; after each data collection, the controller confirms the operating status through a cross-validation mechanism, combined with trend analysis, it can identify potential problems that may occur during long-term operation. Significance: An efficient feedback mechanism can ensure that the heat pump automatically adjusts during operation, reduce human intervention, and improve the system's adaptability and operational safety; through cross-validation and trend analysis, the system's ability to identify different failure modes is enhanced, providing a guarantee for the long-term stable operation of the equipment, reducing maintenance costs, and extending the service life of the equipment.

[0080] In summary, the process of judging the state of the heat pump in this embodiment forms a closed-loop control system through accurate data collection, detailed comparison and effective feedback. It not only improves the operating efficiency and safety of the heat pump, but also enhances the intelligence level of the system, providing users with a more efficient and reliable temperature control solution.

[0081] Example 4: Figure 4 As shown, based on Example 3, the process of multiple groups of thresholds provided in this embodiment of the present invention includes the following steps:

[0082] S2011: Through a user-friendly interface, historical information such as the geographical location of the location, the expected season of use, the insulation performance of the house or facility, and the usage pattern (such as continuous use or intermittent use) is input; historical information is analyzed to obtain the user's past usage habits, and personalized demand forecasts are made based on seasonal changes and energy consumption patterns;

[0083] S2012: Establish a rule engine between historical data and operating conditions, and automatically generate a dynamic combination of operating thresholds by analyzing historical data; when the heat pump runs for a certain period of time according to the set threshold, evaluate the current energy efficiency and operating status. If the operating efficiency or energy consumption in the evaluation result exceeds the corresponding evaluation threshold, automatically optimize the threshold configuration and adjust the evaluation result to within the evaluation threshold;

[0084] S2013: The operating temperature, fan status, ambient temperature and compressor pressure thresholds are divided into independent threshold groups according to the usage environment, grouped and managed, and the priority of each threshold is defined; the usage environment includes home heating, commercial heating and swimming pool heating; the priority of each threshold is set to include that under extreme low temperature conditions, the ambient temperature threshold setting takes precedence over the operating pressure setting.

[0085] The working principle and beneficial effects of the above technical solution are as follows: First, in this embodiment, historical information such as the geographical location of the place of use, the expected season of use, the insulation performance of the house or facility, and the usage mode (such as continuous use or intermittent use) is input through a user-friendly interface; the historical information is analyzed to obtain the user's past usage habits, and personalized demand prediction is performed according to seasonal changes and energy consumption patterns; secondly, a rule engine is established between historical data and operating conditions, and a dynamic combination of operating thresholds is automatically generated by analyzing historical data; when the heat pump runs for a certain period of time according to the set threshold, the current energy efficiency and operating status are evaluated. If the operating efficiency or energy consumption in the evaluation result exceeds the corresponding evaluation threshold, the threshold configuration is automatically optimized and the evaluation result is adjusted to within the evaluation threshold; finally, the operating temperature, fan status, ambient temperature and compressor pressure thresholds are set up as independent threshold groups according to the use environment, grouped and managed, and the priority of each threshold is defined; the use environment includes home heating, commercial heating and swimming pool heating; the priority of setting each threshold includes that under extreme low temperature conditions, the threshold setting of the ambient temperature takes precedence over the setting of the operating pressure. Step S2011 of the above scheme includes user input and personalized demand prediction, which collects information such as the geographical location of the use location, seasonal changes, house insulation performance and use mode through a user-friendly interface; analyzes the user's historical use habits, and uses data analysis technology to identify the influencing factors of energy consumption patterns and seasonal changes; based on the analysis results, generates personalized demand predictions to provide data support for subsequent threshold settings. Significance: Personalized information collection and analysis enable users to participate in system settings, improving the friendliness and interactivity of the system; by understanding the user's specific needs and use environment, ensure that the operating time and operation mode of the heat pump match the actual use needs, thereby reducing resource waste; lays a solid data foundation for the setting of thresholds, making subsequent operation optimization more accurate. Step S2012 establishes a rule engine and a dynamic threshold combination, and generates a dynamic threshold combination based on historical data analysis through the established rule engine; implements real-time monitoring, regularly evaluates the operating efficiency and energy consumption data, and judges the current operating status by comparing the calculation with the preset evaluation threshold; when the operating efficiency or energy consumption exceeds the evaluation threshold, the system can automatically optimize the configuration of the operating threshold to restore it to a reasonable range. Significance: Through real-time data input and analysis, the system has the ability of intelligent, dynamic adjustment and optimization, so that the heat pump can adaptively adjust according to environmental changes and actual load; accurate threshold combination and real-time optimization can significantly improve the operating efficiency and energy utilization of the heat pump, reduce energy consumption and extend the service life of the equipment; the automatic optimization mechanism helps to detect operating anomalies in time, reduce the risk of system failure, and improve the reliability of the heat pump system.Step S2013: Group management and priority setting. Classify and manage the thresholds in different use environments (such as home heating, commercial heating, and swimming pool heating) to ensure that the operations in each environment are relatively independent but have the integrity of the system; clarify the priorities of different threshold settings. For example, under extreme low temperature conditions, the threshold of ambient temperature takes precedence over the threshold setting of operating pressure, and determine the priority processing rules for potential conflicts through logical relationships. Significance: Group management and priority setting enable the system to best match the needs of different industries, improve the flexibility and applicability of the system, and better serve user-specific scenarios; by presetting priorities, it can quickly respond to critical situations faced by the system, adopt the most appropriate control strategy, and ensure safe and efficient operation; ensure that the thresholds of different application scenarios can cooperate with each other, standardize the operation of the heat pump, reduce cross-interference, and improve the overall operational stability of the equipment.

[0086] In summary, this embodiment realizes the personalized, intelligent, safe and efficient operation of the heat pump system through user input, dynamic adjustment of the rule engine and group management. Each step not only realizes innovation in safety and management in technology, but also meets the diverse needs of users at the application level, greatly improves the operating efficiency and energy utilization of the heat pump, and provides users with better experience and value.

[0087] Example 5: Figure 5 As shown, based on Example 4, the process of automatically generating a dynamic combination of operating thresholds provided in this embodiment of the present invention includes the following steps:

[0088] S20121: Integrate real-time data sources to build a comprehensive database and establish a comprehensive heat pump operation rule base, which defines different operation threshold combinations under various conditions; sets the logical relationship between different parameters such as ambient temperature and usage mode in the rules; for example, when the outside temperature is below a certain threshold, automatically adjust the indoor environment target temperature and optimize the operation mode accordingly;

[0089] S20122: Based on the collected real-time data stream and the information input by the user, the current environmental conditions are matched with the heat pump operation rule base for analysis to determine the threshold combination; the real-time monitoring data is processed to obtain the operation mode and optimization suggestions;

[0090] S20123: Continuously monitor and collect energy efficiency data and user feedback, and evaluate the current operating status by comparing the actual operating efficiency with the preset evaluation threshold; if the evaluation result shows that it exceeds the set evaluation threshold, the rule engine will add, modify or discard the operating rules based on the feedback information, and naturally generate a new dynamic threshold combination.

[0091] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first integrates real-time data sources, builds a comprehensive database, and establishes a comprehensive heat pump operation rule base, which defines different operation threshold combinations under various conditions; sets the logical relationship between different parameters such as ambient temperature and usage mode in the rules; for example, when the outside temperature is lower than a specific threshold, automatically adjusts the indoor environment target temperature and optimizes the operation mode accordingly; secondly, based on the collected real-time data stream and the information input by the user, the current environmental conditions are matched with the heat pump operation rule base for analysis to determine the threshold combination; the real-time monitoring data is processed to obtain the operation mode and optimization suggestions; finally, energy efficiency data and user feedback are continuously monitored and collected, and the current operation status is evaluated by comparing the actual operation efficiency with the preset evaluation threshold; if the evaluation result shows that the set evaluation threshold is exceeded, the rule engine will add, modify or discard the operation rules based on the feedback information, and naturally generate a new dynamic threshold combination. Step S20121 of the above scheme integrates the real-time data source and establishes a heat pump operation rule base, establishes a comprehensive database, integrates real-time data from different sources, including ambient temperature, humidity and user behavior, etc.; ensures timely update and accuracy of data to support subsequent decision-making processes; defines the combination of operating thresholds under various conditions, creates a set of logical rules for automatically adjusting the operating status; sets the relationship between parameters such as ambient temperature and usage mode to provide a basis for intelligent decision-making; through the setting of logical relationships, such as automatically adjusting the indoor temperature when the outside temperature is lower than a certain threshold, a preset decision-making mechanism is formed. Significance: Ensure that wise decisions are made based on real-time and historical data, and improve the intelligence level of the system; through preset rules, the system can automatically adapt to changing environmental conditions and optimize the efficiency of resource use; adjust indoor conditions according to changes in the real-time environment to ensure that the user's comfort experience is not affected by the external environment. Step S20122 matches data with threshold combinations, analyzes current environmental conditions using the heat pump operation rule base based on real-time data streams and user input information, and determines a suitable threshold combination; processes monitoring data through heuristic algorithms to discover the best operating mode and feasible optimization suggestions; analyzes real-time monitoring data and provides practical optimization suggestions so that the heat pump system can select the best operating strategy under different environmental conditions. Significance: Combining real-time data with the heat pump operation rule base enables the system to make fast and flexible decisions under different conditions, reflecting the intelligence of technology; by optimizing the threshold combination, the system can achieve high efficiency and energy saving, helping users reduce energy consumption costs; ensure that the system is dynamically adjusted according to real-time data feedback and user preferences, and improve user satisfaction and user experience with the system.Step S20123: Continuous monitoring and feedback optimization, continuous tracking and collection of energy efficiency data and user feedback, comparison of actual operating efficiency with preset evaluation thresholds, and determination of current system status; timely discovery of abnormal conditions in operation through monitoring to ensure healthy operation of the system; if the operating result exceeds the set evaluation threshold, the rule engine will update the operating rules based on the feedback information to achieve dynamic adjustment of the financing portfolio; some operating rules can be automatically added, modified or discarded to generate new dynamic operating thresholds. Significance: With the help of data feedback, the system can continuously adjust and optimize operating parameters to ensure long-term high efficiency and stable operation; through real-time monitoring and feedback mechanisms, potential problems can be identified earlier, the probability of system failure can be reduced, and the reliability of the system can be improved; users' sense of participation in system management can be enhanced, so that their feedback becomes an important basis for system optimization, forming a benign interaction between users and the system.

[0092] In summary, this embodiment realizes the dynamic threshold combination of the heat pump system through real-time data collection, rule definition, continuous monitoring and self-optimization. It improves the intelligence, adaptability and operation efficiency of the system; it not only improves the user experience and satisfaction, but also provides a guarantee for the long-term operation and reliability of the system. Through this dynamic and flexible management mechanism, the heat pump system can better adapt to the ever-changing environmental conditions and user needs, and make positive contributions to intelligent buildings and energy conservation and environmental protection.

[0093] Example 6: Figure 6 As shown, based on Example 5, the process of establishing a comprehensive heat pump operation rule base provided by the embodiment of the present invention includes the following steps:

[0094] S201211: Determine the data source for all heat pump operations, establish data format JSON or XML standards, and unify data units; classify rules according to usage scenarios, environmental conditions and operation modes, and set priorities for each rule based on the actual impact;

[0095] S201212: Create an object for each rule in the rule library, including the rule ID, description, trigger condition and execution action; in the rule implementation, use the programming interface to extract data related to key information from the database, and use the database view to integrate all relevant data into one view; when the trigger condition is met, the relevant data will be automatically pulled from the database and the relevant rules will be executed;

[0096] S201213: After each rule execution, a feedback program is designed to write the execution results into the database, including timestamp, operation results, energy efficiency and user feedback; a data record table is constructed to save the execution history; when multiple rules can be triggered under the same condition, the effective rule is determined according to the set priority.

[0097] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, the data source of all heat pump operations is first determined, and the data format JSON or XML standard is established to unify the data units; the rules are classified according to the usage scenario, environmental conditions and operation mode, and the priority is set for each rule according to the actual impact; secondly, an object is created for each rule in the rule library, including the rule ID, description, and trigger condition (Example 1 Rule description is "When the indoor temperature is lower than 20°C, start the heating mode", and the trigger condition is "Indoor temperature <20°C"; the rule description is "When the external humidity is greater than 60%, enable the dehumidification mode", and the trigger condition is "External humidity>60%; the rule description is "If the device If the cumulative running time exceeds 500 hours, a maintenance reminder will be issued, and the trigger condition is "equipment running time>500 hours") and an execution action; in the rule implementation, a programming interface is used to extract data related to key information from the database, and a database view is used to integrate all relevant data into one view; when the trigger condition is met, the relevant data will be automatically pulled from the database and the relevant rules will be executed; finally, after each rule execution, a feedback program is designed to write the execution results into the database, including timestamps, running results, energy efficiency, and user feedback; a data record table is constructed to save the execution history; when multiple rules can be triggered under the same condition, the effective rule is determined according to the set priority. Step S201211 of the above scheme determines the data source and establishes standards, fully identifies various data sources required for the operation of the heat pump (such as environmental sensors, user behavior, and meteorological data, etc.), and ensures the comprehensiveness and diversity of data collection; a unified JSON or XML format is used to enable data to be seamlessly transmitted and used between different systems. The unified format reduces the complexity of data analysis and processing; the unification of all data units (for example, temperature is in degrees Celsius, humidity is in percentage, etc.) avoids errors caused by inconsistent units in calculations and rule applications, and improves data consistency and reliability; the rules are classified according to usage scenarios and conditions, making the rule base more organized; in addition, by setting priorities for the rules, it ensures that the system can select the optimal rules in a timely manner in complex situations and optimize the decision-making process. Significance: By clarifying the data source and establishing unified standards, data quality is guaranteed and the maintainability and reliability of the system are improved; the classification and priority setting of rules lay the foundation for subsequent automated decision-making, enabling the system to flexibly respond to complex scenarios and ensure efficient operation and user comfort.Step S201212 creates rule objects and data extraction mechanisms, creates an object for each rule (including rule ID, description, trigger condition, and execution action), forms a clear rule base structure, and facilitates management, search, and execution; realizes dynamic data extraction through the programming interface (API) for the database, so that data can be updated in real time and applied to rule execution, improving the flexibility and response speed of the system; uses database views to integrate related data, realizes one-stop data access, reduces repeated queries and data redundancy, and makes rule execution more efficient; establishes a trigger mechanism, automatically pulls data from the database and executes the corresponding rules when the conditions are met, and ensures timely and accurate execution of the rules. Significance: By creating rule objects and efficient data extraction mechanisms, the system can achieve real-time monitoring and intelligent decision-making; not only improves the efficiency of heat pump operation, but also optimizes energy management, reduces the user's operating burden, and improves user experience. Step S201213 Feedback mechanism and conflict management: after each rule is executed, the execution results (including timestamp, operation results, energy efficiency and user feedback, etc.) are written into the database through the feedback program to form a data closed loop and realize real-time monitoring; a data record table is constructed to save the execution history, providing a basis for subsequent data analysis and rule optimization, and enhancing the traceability of the system; when multiple rules can be triggered at the same time, the effective rules are determined according to the set priority to avoid conflicts and make the system run more stable. Significance: The implementation of the feedback mechanism enables the system to continuously learn and optimize, and adjust the rules according to the actual operation effect; adaptability enables the system to maintain excellent performance in a constantly changing environment and user needs, and at the same time, through the accumulation of execution history records, it provides data support for future optimization decisions.

[0098] In summary, this embodiment can achieve more intelligent, efficient and adaptive operation management through systematic data management, standardized rule base construction, real-time data extraction and feedback mechanism construction. It not only improves the energy efficiency and user experience of the heat pump, but also lays a solid foundation for future system optimization and intelligent development.

[0099] Example 7: Figure 7 As shown, based on Example 5, the process of processing real-time monitoring data provided by the embodiment of the present invention includes the following steps:

[0100] S201221: Use data streams to continuously acquire new data and match it with the rules in the database; use fuzzy logic matching to compare the environmental conditions captured in the real-time data stream with the conditions in the rule base; determine the rules that meet the conditions and form a dynamic threshold combination;

[0101] S201222: Compare the real-time environmental parameters (such as the current indoor temperature, external temperature, humidity, etc.) with the conditions in the rule base, combine all the rules that meet the conditions, and form a new dynamic threshold set; use the currently collected real-time data to determine the current state, including key indicators such as energy consumption and indoor environmental comfort;

[0102] S201223: Generate adjustment suggestions based on feedback information according to real-time status. If the outside temperature drops suddenly, it is recommended to increase the indoor target temperature by 1-2°C. Compare the real-time monitoring data with the historical highest / lowest energy consumption data to evaluate whether the current operating efficiency is within an acceptable range. If deviations are found, determine whether the operating mode needs to be changed, and recommend that users make certain settings during a certain period of time.

[0103] The working principle and beneficial effects of the above technical solution are as follows: the present embodiment firstly utilizes the data stream to continuously acquire new data and matches it with the rules in the database; according to the environmental conditions captured in the real-time data stream, fuzzy logic matching is used to compare with the conditions in the rule base; the rules that meet the conditions are determined and form a dynamic threshold combination; secondly, the real-time environmental parameters (such as the current indoor temperature, external temperature, humidity, etc.) are compared with the conditions in the rule base, and all the rules that meet the conditions are combined to form a new dynamic threshold set; the current state is determined using the currently collected real-time data, including key indicators such as energy consumption and comfort of the indoor environment; finally, adjustment suggestions are generated based on the real-time state using feedback information. If the external temperature drops sharply, it is recommended to increase the indoor target temperature by 1-2°C; the real-time monitoring data is compared with the historical highest / lowest energy consumption data to evaluate whether the current operating efficiency is within an acceptable range. If deviations are found, it is determined whether the operating mode needs to be changed, and it is recommended that the user make certain settings during a certain period of time. Step S201221 of the above scheme is real-time data acquisition and rule matching. New data is continuously acquired through data streams to ensure the system's response speed and adaptability, and to reflect environmental changes in a timely manner; data is analyzed so that the system can handle inaccurate or ambiguous inputs and dynamically determine applicable rules. The significance achieved: It can quickly adapt to environmental changes, such as timely adjusting the operating mode when the external temperature rises or falls; ensuring that suitable operating solutions can be found under different environmental conditions, optimizing the performance of the heat pump through dynamic threshold combinations, and effectively improving the operating accuracy and efficiency of the equipment. Step S201222 Dynamic threshold combination formation and status evaluation, real-time environmental parameters and rule base conditions are compared, so that the system can obtain comprehensive operating status, such as energy consumption level, indoor comfort, etc.; the rules that meet the conditions are integrated to generate a personalized dynamic threshold set that is more in line with the current environment and user needs. Significance achieved: By comprehensively evaluating the current state, the system can more accurately understand the actual situation of the equipment operation, and then combine reasonable operation thresholds to further improve the operation efficiency; users can maintain extremely low energy consumption in a more comfortable environment; for example, at low external temperatures, the system can self-adjust to maintain the indoor temperature without the need for frequent manual adjustments by the user. Step S201223 Feedback information generation and user setting suggestions. Based on the comparison of real-time data and historical energy consumption data, the system can generate scientific adjustment suggestions, such as increasing the indoor target temperature by 1-2℃; evaluate the current operation efficiency through historical data, and if deviation is found, the operation mode can be reasonably adjusted. Significance achieved: Not only can it respond to the external environment in real time, but it can also continuously evaluate and adjust the operation mode to ensure that the equipment works at the highest energy efficiency, which has a direct saving effect on the user's energy cost; through intelligent recommendations, users can enjoy a comfortable indoor environment without too much intervention, and the system can actively adjust to adapt to different usage scenarios, thereby greatly improving the convenience and satisfaction of users.

[0104] In summary, this embodiment has efficient adaptive capabilities and intelligent decision-making capabilities, and can continuously optimize the operation mode of the heat pump based on comprehensive analysis of real-time and historical data. It not only improves the system operation efficiency, reduces energy consumption and user management costs, but also improves the user's living comfort, and promotes the development of smart homes and environmental protection goals.

[0105] Example 8: Figure 8 As shown, based on Example 1, the switching control process of the blinds provided by the embodiment of the present invention includes the following steps:

[0106] S301: Obtaining a target state of the heat pump being in normal operation, shutdown, or requiring defrosting, and calling a corresponding shutter control program according to the target state. The shutter control program is closed and opened, and opening is to adjust the opening angle of the shutter to 60°;

[0107] S302: When the instruction is for normal operation, the servo motor is controlled by the PWM signal to drive the shutter to adjust the opening angle to 60°; when the instruction is for shutdown or defrosting is required, the controller issues a shutter closing instruction, and the servo motor closes the shutter; in the shutdown state, the shutter is completely closed (0 degrees), and when defrosting is required, the shutter is quickly closed;

[0108] S303: Check the temperature and humidity regularly to confirm whether the defrosting operation is completed. When the temperature returns to the normal range (>5°C) and the humidity is lower than 50%, it is marked as defrosting completed. The controller sends a reopening instruction to the blinds and adjusts the blinds through the servo motor. The blinds opening angle is automatically adjusted according to the wind speed and the outside temperature.

[0109] The working principle and beneficial effects of the above technical solution are as follows: the present embodiment first obtains the target state of the heat pump being in normal operation, shutdown or in need of defrosting, and according to the target state, calls the corresponding shutter control program, the shutter control program is closed and opened, and the opening angle of the shutter is adjusted to 60°; secondly, when the instruction is the adjustment during normal operation, the servo motor is controlled by the PWM signal to drive the shutter to adjust the opening angle to 60°; when the content of the instruction is the shutdown state or defrosting is required, the controller issues a shutter closing instruction, and the servo motor closes the shutter; the shutter is completely closed (0 degrees) in the shutdown state, and the shutter is quickly closed when defrosting is required; finally, the temperature and humidity are regularly checked to confirm whether the defrosting operation is completed, and when the temperature returns to the normal range (>5°C) and the humidity is lower than 50%, it is marked as defrosting completion; the controller issues a reopening instruction to the shutter, and adjusts the shutter through the servo motor; the shutter opening angle is automatically adjusted according to the wind speed and the outside temperature, and if the outside temperature rises rapidly or the wind speed is too high, the opening angle is reduced. Step S301 of the above scheme obtains the target state of the heat pump, calls the corresponding blinds control program, and monitors the operating state of the heat pump (normal, shutdown, defrost) to ensure that the system can accurately understand the current requirements; according to different target states, the system can call the corresponding control program to lay the foundation for subsequent operations. Significance: It can flexibly adapt to different working conditions and adjust the state of the blinds according to needs, which enhances the intelligence level of the system; by timely adjusting the switch state of the blinds, it helps the heat pump achieve the best energy efficiency, ensures that the performance is maximized, and reduces energy consumption. Step S302 PWM signal controls the servo motor to realize the opening and closing of the blinds. Through the PWM (pulse width modulation) signal, the movement of the servo motor can be accurately controlled to adjust the blinds opening angle to the set 60° or completely closed (0°); when it is necessary to stop or defrost, the servo motor can respond to the control command quickly to ensure that the blinds are closed quickly, improving the system's ability to cope with changes. Significance: In the shutdown or defrosting state, quickly closing the shutters can protect the heat pump equipment and prevent the negative impact of external cold air on the system, thereby extending the service life of the equipment; by reasonably adjusting the shutter opening angle, the indoor temperature can be effectively managed to ensure the comfort of the indoor environment and meet user needs. Step S303 confirms whether the defrosting operation is completed and adjusts the shutters, regularly checks the temperature and humidity, and realizes real-time monitoring of the defrosting operation process to ensure that the defrosting is completed in time under appropriate environmental conditions; dynamically adjusts the shutter opening angle according to the external environment (such as wind speed and temperature) to adapt to environmental changes and optimize the heat exchange effect. Significance: By monitoring the temperature and humidity status, the efficiency of the defrosting operation is ensured, and the normal operation of the heat pump is restored in time, thereby improving the operating efficiency of the overall system; dynamically adjusting the system status reflects the system's ability to adapt to environmental changes and improves the intelligence level of the heat pump system under different weather and load conditions.

[0110] In summary, this embodiment is used for regulating and controlling the heat pump and blinds to ensure the safety, flexibility and energy efficiency of the system; it not only improves the operating stability of the equipment, but also creates a good environmental comfort for users, while enabling the system to achieve intelligent self-regulation under different environmental conditions.

[0111] Example 9: Fig. 9 As shown, based on Example 8, the process of automatically adjusting the shutter opening angle according to the wind speed and the outside temperature provided in the embodiment of the present invention includes the following steps:

[0112] S3031: Determine the impact of the current external environment on the shutter opening angle through a logical judgment model, and set a corresponding response strategy based on the combination of wind speed and temperature, including:

[0113] High temperature and low wind speed (temperature>25℃&wind speed<1m / s): Set the shutter opening angle to 80° to promote the entry of cold air into the room;

[0114] High temperature and high wind speed (temperature>25℃&wind speed>3m / s): adjust the shutter opening angle to 30° to reduce the direct impact of external wind speed and maintain indoor comfort;

[0115] Low temperature, any wind speed (temperature < 5°C): shutters closed to 0° to prevent cold air from penetrating and keep warm air;

[0116] Moderate temperature (5°C to 25°C): dynamically adjust the opening angle (ranging from 30° to 60°) according to wind speed to optimize indoor temperature and air circulation;

[0117] S3032: After calculating the required opening angle, the controller sends a control signal to the servo motor; the position sensor continuously monitors the actual opening angle of the blinds, and if a deviation is found, the controller automatically sends a correction instruction to adjust the blinds to the ideal state;

[0118] S3033: The controller continuously monitors the external environment and internal status, re-evaluates whether the shutter opening angle needs to be adjusted each time the wind speed or temperature changes, and re-evaluates and confirms the status after each adjustment; stores environmental data and corresponding opening angle settings to optimize the control strategy.

[0119] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first determines the impact of the current external environment on the opening angle of the blinds through a logical judgment model, and sets the corresponding response strategy according to the combination of wind speed and temperature, including: high temperature and low wind speed (temperature>25℃&wind speed<1m / s): set the blinds opening angle to 80° to promote the entry of cold air into the room; high temperature and high wind speed (temperature>25℃&wind speed>3m / s): adjust the blinds opening angle to 30° to reduce the direct impact of external wind speed and maintain indoor comfort; low temperature and arbitrary wind speed (temperature<5℃): close the blinds to 0° to prevent cold air from entering and keep warm air ; Moderate temperature (5℃ to 25℃): dynamically adjust the opening angle according to the wind speed (varies between 30° and 60°) to optimize the indoor temperature and air circulation; secondly, after calculating the required opening angle, the controller sends a control signal to the servo motor; the position sensor continuously monitors the actual opening angle of the blinds. If a deviation is found, the controller automatically sends a correction instruction to adjust the blinds to the ideal state; finally, the controller continuously monitors the external environment and internal state, re-evaluates whether the opening angle of the blinds needs to be adjusted every time the wind speed or temperature changes, and performs state evaluation and confirmation after each adjustment; stores environmental data and corresponding opening angle settings to optimize the control strategy. Step S3031 of the above scheme sets the logic judgment model and response strategy. Through the logic judgment model, the system can evaluate the impact of external environmental factors (wind speed and temperature) on the adjustment of the blinds in real time, so as to adopt the corresponding opening angle adjustment strategy; according to different temperature and wind speed combinations, set targeted opening angles to finely manage the indoor climate and avoid the "one size fits all" control method. Significance achieved: By adjusting the opening angle of the blinds, the indoor temperature and air circulation can be effectively managed, the comfort of the living environment can be improved, and the needs of users can be met; ensuring that the external environment is effectively isolated under extreme climatic conditions (such as high temperature and strong wind or low temperature), it helps to reduce the burden on the heating or cooling system, thereby achieving energy conservation and improved utilization efficiency. Step S3032: The control signal is sent to the servo motor and corrected in real time. The controller will generate a control signal based on the calculated ideal opening angle to ensure that the servo motor can accurately adjust the opening angle of the blinds; the actual opening angle is monitored by the position sensor. If a deviation is found from the set angle, a correction instruction can be automatically issued to adjust in time to ensure that the opening angle always remains within the expected range. Significance achieved: The automatic correction mechanism enhances the reliability and stability of the system, reduces control errors caused by mechanical errors, external force interference, etc., and ensures that the blinds perform consistently in different scenarios; under rapidly changing climatic conditions, it can ensure the stability of the indoor environment and improve the comfort and satisfaction of users. Step S3033: Continuous monitoring and strategy optimization: the controller continuously monitors the external environment and internal status, and promptly re-evaluates the need to adjust the opening angle when the wind speed or temperature fluctuates, to achieve dynamic adaptation of the system; stores environmental data and response strategies, and uses historical data to gradually optimize the control algorithm to improve response efficiency and adaptability.Significance achieved: It realizes intelligent environmental monitoring, can realize automatic and intelligent management based on real-time data, and demonstrates a high level of technological innovation and smart home concept; by continuously optimizing the control strategy, the system can gradually improve energy efficiency and comfort, reduce energy waste, and at the same time improve the overall operating efficiency of the system to achieve long-term sustainability; it has the ability to optimize for different seasons, time or specific climatic conditions, making the system more adaptable and more in line with the laws of nature, and realizing a benign interaction between the environment and the equipment.

[0120] In summary, the implementation of this embodiment forms a closed-loop control system, which is seamlessly connected from environmental perception to decision execution, and then to feedback correction and optimization, showing the comprehensive effect of maintaining indoor comfort, energy saving and automatic intelligent control. It shows more excellent performance and user experience in practical applications.

[0121] Example 10: Fig.10 As shown, based on Embodiments 1 to 9, the protective device for improving the energy efficiency of a heat pump provided by the embodiment of the present invention comprises:

[0122] The data acquisition module is responsible for obtaining the real-time monitoring of the heat pump operating status through devices such as temperature sensors, pressure sensors and air flow sensors, including monitoring data such as operating temperature, fan status and defrost conditions;

[0123] The status judgment module is responsible for feeding back the monitoring data to the heat pump controller to determine whether the heat pump is in normal operation, shut down, or needs to be defrosted;

[0124] The result output module is responsible for adjusting the opening angle of the blinds when the heat pump is in normal operation; when the heat pump is shut down, powered off or enters the defrost stage, it will issue a command to automatically close the protective device; when the heat pump reaches the defrost conditions, the blinds will be automatically closed; when the heat pump completes defrosting and detects the conditions for exiting defrost, the blinds will be reopened to the fully open state, and the heat pump will operate normally.

[0125] The working principle and beneficial effects of the above technical solution are as follows: the data acquisition module of this embodiment obtains the real-time monitoring of the heat pump operation status, including monitoring data such as operating temperature, fan status and defrosting conditions, through devices such as temperature sensors, pressure sensors and wind flow sensors; the status judgment module feeds back the monitoring data to the controller of the heat pump to determine whether the heat pump is in normal operation, shutdown or needs to be defrosted; the result output module adjusts the opening angle of the blinds when the heat pump is in normal operation; when the heat pump is shut down, powered off or enters the defrosting stage, it will issue a command to automatically close the protective device; when the heat pump reaches the defrosting condition, the blinds are automatically closed; when the heat pump completes defrosting and detects the conditions for exiting defrosting, the blinds will be reopened and restored to the fully open state, and the heat pump operates normally. The data acquisition module of the above scheme obtains the key parameters of the heat pump during operation (such as operating temperature, fan status and defrosting conditions) through devices such as temperature sensors, pressure sensors and wind flow sensors, and realizes real-time monitoring of the heat pump performance; it can comprehensively collect and integrate different data required for the operation of the heat pump, and provide sufficient information support for the status judgment module. Significance achieved: Through accurate data collection, the controller can make more reasonable decisions based on the actual operating status, improve the operating efficiency and responsiveness of the heat pump; timely acquisition of operating data can warn of potential faults, ensure that the heat pump system operates in the best condition, and reduce maintenance costs and downtime. The state judgment module analyzes the monitoring data obtained from the data acquisition module to determine the current state of the heat pump (normal operation, shutdown, or need for defrosting); it can dynamically adjust the response strategy and issue corresponding instructions for different states to ensure the stable operation of the heat pump. Significance achieved: Through the state judgment module, the system can adapt to different operating environments and needs in real time to achieve intelligent control; accurate judgment of the operating status of the heat pump can avoid unnecessary operating losses and ensure that it works in the best condition, thereby improving overall energy efficiency. When the heat pump is in normal operation, the output module adjusts the opening angle of the blinds in real time to optimize indoor ventilation and heat exchange; when the heat pump enters the shutdown, power failure or defrosting stage, it can automatically issue instructions to close the protective device to ensure equipment safety and reduce energy consumption; when the heat pump completes defrosting and meets the re-operation conditions, it can automatically open the blinds and return to the full open state to ensure that the equipment quickly and smoothly returns to normal operation mode. Significance achieved: By adjusting the opening angle of the blinds, indoor temperature and humidity can be effectively managed to improve user comfort; reasonable opening angle adjustment avoids energy waste, improves the energy efficiency of the heat pump through optimal heat exchange capacity, and can also effectively reduce energy consumption during defrosting; reduce manual intervention, improve the intelligence and automation level of the system, and make the heat pump more flexible and efficient in response to different operating conditions.

[0126] In the specific application of this embodiment, a control signal is sent to the servo motor, and the position sensor continuously monitors the actual opening angle of the blinds. The servo motor drives the opening angle of the blinds; the protective device for improving the energy efficiency of the heat pump is installed at the air inlet position of the heat pump fin heat exchanger, and an electric openable and closable blind design is adopted. The blinds can be adjusted to a full opening angle according to the height of the fins and the air volume of the fan, so as to achieve uniform air volume above and below the fin heat exchanger. At the same time, it can be closed when the heat pump is not in use or defrosting, so as to protect the heat pump fin heat exchanger and reduce the energy consumption of defrosting; the protective device is installed on the sheet metal outside the heat exchanger and fixed by bolts or clamps to ensure stability. The device is opened and closed and the maximum full opening angle is determined by the control system of the heat pump; the protective device is installed on the sheet metal outside the heat exchanger and fixed by bolts or clamps to ensure stability; the opening and closing control and the maximum full opening angle are determined by the control system of the heat pump;

[0127] In summary, this embodiment realizes comprehensive monitoring and intelligent control of the heat pump system, ensuring that the heat pump operates at the highest efficiency. It not only improves the energy efficiency of the heat pump and reduces the operating cost, but also enhances the user experience and satisfaction. It can be widely used in building thermal management, smart home, energy conservation and emission reduction, and lays a foundation, with important practical application value and potential market prospects.

[0128] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of equivalent technologies of the present invention, the present invention is also intended to include these modifications and variations.

Claims

1. A control method for a protective device for improving the energy efficiency of a heat pump, characterized in that: The following steps are involved: Obtain real-time monitoring of heat pump operating status; Feedback the monitoring data to the heat pump controller to determine whether the heat pump is in normal operation, shut down, or needs to be defrosted; When the heat pump is in normal operation, the shutters will be adjusted to open at an angle; when the heat pump is shut down, powered off, or enters the defrost stage, a command will be issued to automatically close the protective device; when the heat pump reaches the defrost conditions, the shutters will be automatically closed; when the heat pump completes defrosting and detects the conditions to exit defrost, the shutters will be reopened to the fully open state, and the heat pump will operate normally.

2. The control method of the protective device for improving the energy efficiency of a heat pump according to claim 1, characterized in that: The process of acquiring monitoring data includes the following steps: Obtain the target demand of the monitoring data, analyze the target demand, and obtain the specific type of the content corresponding to the target demand; perform three-dimensional modeling on the heat pump, obtain the result position coordinates corresponding to the target demand based on the three-dimensional modeling, map the position coordinates with the target demand, and form a relationship mapping table; According to the relationship mapping table, the device corresponding to the specific type is searched in the database to obtain the performance parameters of the device; the location coordinates are used as the unique identifier to distinguish the location of the device, and the performance parameters and coordinates of the device are added to the relationship mapping table to correspond to the target requirements; All devices are linked to form a monitoring data collection network to summarize the content of the monitoring data; The monitoring data acquisition network issues a startup command according to the preset acquisition cycle of the monitoring data. All devices begin to initialize and collect the corresponding monitoring data. The location coordinates and monitoring data are packaged and sent to the heat pump. The controller determines the status of the heat pump.

3. The control method of the protective device for improving the energy efficiency of a heat pump according to claim 1, characterized in that: The process of determining the status of the heat pump includes the following steps: The controller receives real-time data from temperature sensors, pressure sensors and air flow sensors to form a multi-dimensional data packet; the data packet contains key information such as operating temperature, fan status, ambient temperature and compressor pressure; multiple sets of thresholds set by the heat pump are obtained, and the thresholds are used to define normal operation, shutdown and defrosting conditions; According to the key information of the data packet, a comparison is performed with one item corresponding to the multiple groups of thresholds, and the status content of the heat pump is obtained according to the comparison result; Feedback the judgment result to the controller of the heat pump, and execute corresponding actions according to the program set in the controller; After each data collection, the controller cross-verifies the operating status and obtains the reliability of the operating status through data trend analysis.

4. The control method of the protective device for improving the energy efficiency of a heat pump according to claim 3, characterized in that: The process of multiple sets of thresholds includes the following steps: insulation performance and usage pattern historical information; analyzing the historical information to obtain the user's past usage habits, and making personalized demand forecasts based on seasonal changes and energy consumption patterns; Establish a rule engine between historical data and operating conditions, and automatically generate a dynamic combination of operating thresholds by analyzing historical data; when the heat pump runs for a certain period of time according to the set threshold, evaluate the current energy efficiency and operating status. If the operating efficiency or energy consumption in the evaluation result exceeds the corresponding evaluation threshold, automatically optimize the threshold configuration and adjust the evaluation result to within the evaluation threshold; Set up independent threshold groups for operating temperature, fan status, ambient temperature and compressor pressure thresholds according to the usage environment, manage them in groups, and define the priority of each threshold.

5. The control method of the protective device for improving the energy efficiency of a heat pump according to claim 4, characterized in that: The priority of setting each threshold value includes that under extremely low temperature conditions, the threshold setting of ambient temperature takes precedence over the setting of operating pressure.

6. The control method of the protective device for improving the energy efficiency of a heat pump according to claim 1, characterized in that: The process of processing real-time monitoring data includes the following steps: Use data streams to continuously acquire new data and match it with the rules in the database; compare the environmental conditions captured in the real-time data stream with the conditions in the rule base; determine the rules that meet the conditions and form a dynamic threshold combination; Compare the real-time environment parameters with the conditions in the rule base, combine all the rules that meet the conditions to form a new dynamic threshold set; use the currently collected real-time data to determine the current state; Use feedback to generate adjustment suggestions based on real-time status.

7. The control method of the protective device for improving the energy efficiency of a heat pump according to claim 1, characterized in that: The switching control process of the blinds includes the following steps: Obtain the target state of the heat pump being in normal operation, shutdown or in need of defrosting, and call the corresponding shutter control program according to the target state, the shutter control program is closed and opened; When the instruction is for normal operation, the servo motor is controlled by the PWM signal to drive the shutter to adjust the opening angle to 60°; when the instruction is for shutdown or defrosting is required, the controller sends a shutter closing instruction, and the servo motor closes the shutter; in the shutdown state, the shutter is completely closed, that is, 0 degrees, and the shutter closes quickly when defrosting is required; Check the temperature and humidity regularly to confirm whether the defrosting operation is complete; the controller sends a reopening command to the blinds and adjusts the blinds through the servo motor; the blinds opening angle is automatically adjusted according to the wind speed and outside temperature.

8. The control method of the protective device for improving the energy efficiency of a heat pump according to claim 7, characterized in that: When opened, the opening angle of the blinds is adjusted to 60°.

9. The control method of the protective device for improving the energy efficiency of a heat pump according to claim 7, characterized in that: The process of automatically adjusting the shutter opening angle according to wind speed and outside temperature includes the following steps: Through the logic judgment model, determine the impact of the current external environment on the shutter opening angle according to the combination of wind speed and temperature; After calculating the required opening angle, the controller sends a control signal to the servo motor; the position sensor continuously monitors the actual opening angle of the blinds. If a deviation is found, the controller automatically sends a correction command to adjust the blinds to the ideal state; The controller continuously monitors the external environment and internal status, re-evaluates whether the shutter opening angle needs to be adjusted every time the wind speed or temperature changes, and re-evaluates and confirms the status after each adjustment; stores environmental data and corresponding opening angle settings to optimize control strategies.

10. A protective device for improving the energy efficiency of a heat pump, characterized in that: Include: The data acquisition module is responsible for acquiring the real-time monitoring of the heat pump operation status; The status judgment module is responsible for feeding back the monitoring data to the heat pump controller to determine whether the heat pump is in normal operation, shut down, or needs to be defrosted; The result output module is responsible for adjusting the opening angle of the blinds when the heat pump is in normal operation; when the heat pump is shut down, powered off or enters the defrost stage, it will issue a command to automatically close the protective device; when the heat pump reaches the defrost conditions, the blinds will be automatically closed; when the heat pump completes defrosting and detects the conditions for exiting defrost, the blinds will be reopened to the fully open state, and the heat pump will operate normally.

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