Heat pump wire controller for controlling room temperature and control method thereof

Abstract

The invention provides a heat pump wire controller for controlling room temperature and a control method of the heat pump wire controller. The heat pump wire controller comprises a data acquisition assembly, an equipment adjusting assembly and a wireless communication assembly, the control method comprises the steps that the indoor temperature is monitored in real time, and the indoor temperature is fed back to the control assembly; receiving the real-time temperature, comparing the real-time temperature with the target temperature to obtain a difference value, and enabling the heat pump unit to confirm the operation frequency according to the difference value according to the adjustment strategy; and through wireless communication between a wireless network and an intelligent terminal, remote monitoring, control, access state and setting are realized. The intelligent level and the user experience of the system are improved, and the heat pump equipment can accurately respond to the demand during operation through intelligent control, so that unnecessary energy consumption is reduced, and the energy-saving target is promoted; through continuous monitoring and intelligent adjustment, the relatively constant indoor temperature can be effectively maintained, and the living and using comfort is improved; and the method can adapt to different use scenes.

Description

Technical Field

[0001] The present invention relates to the technical field of air energy heat pumps, and in particular to a heat pump wire controller for controlling room temperature and a control method thereof. Background Art

[0002] The variable frequency heat pump unit is a heat pump system that uses variable frequency technology. It is mainly used to provide heating and cooling functions. It uses the principle of heat pumps to circulate liquid refrigerant in the system to achieve heat transfer. Compared with traditional fixed frequency heat pumps, the variable frequency heat pump unit has the advantage of being able to more effectively adjust power output to improve the energy efficiency and stability of the system. For existing variable frequency heat pump units, the energy demand of the more common units is fed back through the water temperature difference (i.e., the difference between the real-time inlet water temperature and the target inlet water temperature or the difference between the real-time outlet water temperature and the target outlet water temperature). Different energy demands correspond to different compressor operating frequencies, which control the compressor to start, increase frequency, reduce frequency and stop. Its control is not based on the actual room temperature demand. Moreover, this traditional control method cannot really control the unit through load demand, which is easy to cause problems such as excessive energy consumption and frequent start and stop.

[0003] Prior art 1, application number: CN202311480453.4 discloses an air source heat pump system with automatic temperature control function, including a fan coil control module: a fan coil, setting three speeds of high, medium and low air volume; a switch module, automatically switching on and off according to the difference between room temperature and outdoor ambient temperature and the set temperature, a water supply pump control module, an inlet and outlet pipe pressure difference module, automatically adjusting the water pump frequency by comparing the real-time monitoring pressure difference with the set value, and an air source heat pump and fan coil joint adjustment module: a temperature sensor, feedback fan coil water inlet temperature, fan coil water outlet temperature and fan coil water inlet and outlet temperature difference. Although the neural network can learn complex nonlinear relationships and the prediction accuracy is higher, the air source heat source temperature control system can predict and adjust the strategy in advance to achieve the optimal balance between room temperature and energy consumption, and automatically adjust the unit operation according to the set temperature and the current environment to realize the automatic temperature control function of the air source heat pump. However, this temperature control method makes the air source heat pump system load larger and increases a lot of energy consumption.

[0004] Prior art 2, application number: CN202110966313.2 discloses an intelligent defrosting control method, device, electronic device and storage medium, which aims to solve the problem of indoor temperature reduction caused by the existing air energy heat pump during the defrosting process. When it is detected that the air energy heat pump meets the defrosting conditions, the target water supply circuit is determined according to the preset configuration parameters, wherein the target water supply circuit is used to provide a heat source for the defrosting function of the air energy heat pump; at least one heating circuit is closed, and the target water supply circuit is kept open; the defrosting function of the air energy heat pump is started at a preset time, so that the air energy heat pump is defrosted through the heat source provided by the target water supply circuit. Since the heating circuit is closed during the defrosting process and the water supply circuit is used as a heat source for defrosting, the problem of the room temperature drop caused by the change in the outlet water temperature of the air energy heat pump, which affects the indoor heating quality, is avoided, and the heating stability of the air energy heat pump is improved. However, it is easy to cause the compressor to start and stop frequently, and it needs to be further improved in reducing energy consumption.

[0005] Prior art three, application number: CN202310057099.8 discloses a photovoltaic heat pump energy storage integrated intelligent temperature control system and its control method, the system includes a temperature control system: used to analyze the working temperature of the lithium battery through the collected temperature data information; a first control module: used to control the lowering or raising of the temperature in the lithium battery energy storage system by adjusting the configuration of the new material shell; a communication module: used to establish communication between the temperature control system and the BMS battery management system of the energy storage lithium battery, store the photovoltaic power generation in the lithium battery energy storage system, and establish communication with the temperature control module of the air energy heat pump; a second control module: used to control the allocation of power to the air energy heat pump according to the preset temperature value set by the user until the room temperature is adjusted to the preset temperature value. Although photovoltaic power generation, lithium battery energy storage and air energy heat pump cooling and heating can be combined to realize the linkage of photovoltaic power generation, energy storage and HVAC. However, the control of the room temperature is still achieved by the control method of the compressor, resulting in high energy consumption.

[0006] At present, the existing technologies 1, 2 and 3 control the unit by load demand, which easily leads to problems such as excessive energy consumption and frequent start and stop. Therefore, the present invention provides a heat pump wire controller for controlling room temperature and a control method thereof. The heat pump unit follows up the real-time inlet and outlet water temperature and ambient temperature, and the difference between the real-time room temperature and the target room temperature for intelligent calculation to determine the operating frequency of the heat pump. Summary of the invention

[0007] In order to solve the above technical problems, the present invention provides a heat pump wire controller for controlling room temperature, comprising:

[0008] The data acquisition component is installed indoors to monitor the indoor temperature in real time and feed the indoor temperature back to the control component;

[0009] The equipment adjustment component is responsible for receiving the real-time temperature, comparing the real-time temperature with the target temperature to obtain the difference, and according to the adjustment strategy, allowing the heat pump unit to confirm the operating frequency according to the difference;

[0010] The wireless communication component is responsible for wireless communication with the intelligent terminal through the wireless network to achieve remote monitoring and control, access status and settings.

[0011] Optional data collection components, including:

[0012] The equipment layout module is responsible for dividing the indoor space into several areas and setting different types of temperature sensors according to different functional areas such as the living room, bedroom and kitchen. In each area, the temperature sensors are installed horizontally at different heights to capture the temperature differences at different heights.

[0013] The equipment operation module is responsible for collecting the current temperature data of each temperature sensor at fixed time intervals and smoothing the temperature data; after smoothing, the temperature data is transmitted to the control component via wired or wireless means;

[0014] The weighted processing module is responsible for weighting the readings of each temperature sensor based on the location of the temperature sensor and environmental factors, setting the weight coefficient, and weighted averaging the data of all temperature sensors to obtain the final real-time indoor temperature.

[0015] Optional, equipment deployment module, including:

[0016] The grid division submodule is responsible for gridding the indoor space to form a grid matrix, where each grid represents a certain area and volume; under the preset monitoring path, the number of times the temperature sensor covers each grid unit is recorded to form a grid matrix of coverage numbers;

[0017] The coverage statistics submodule is responsible for assigning the temperature value of the current grid unit to indicate the temperature characteristics of the current grid when the distance between the center position of the temperature sensor and the center of the grid is less than the effective temperature measurement width of the temperature sensor during the traversal process. After the traversal is completed, the temperature value of each grid unit is counted, the number of coverages is recorded, and the coverage statistics are completed.

[0018] The spacing confirmation submodule is responsible for performing spatial clustering processing through a preset neighborhood range according to the coverage number grid matrix to obtain a cluster area map; in the cluster area map, the maximum temperature measurement width of each cluster area is determined according to the temperature sensor specifications; the measurement line spacing of each cluster area is determined according to the ratio of the measurement path spacing to the maximum temperature measurement width;

[0019] The result output submodule is responsible for determining the direction and distribution number of the measurement line based on the shape of the cluster area and the total number of times it is covered; the measurement lines are evenly arranged according to the measurement line direction, distribution number and measurement line spacing in the cluster area to form coverage of the temperature monitoring signal, and infrared sensors, digital temperature sensors and temperature and humidity sensors are arranged according to low, medium and high positions respectively, and the temperature sensor layout results of different functional areas are determined, including the position, height and type of stable sensors.

[0020] Optional, device operation module, including:

[0021] The coefficient acquisition submodule is responsible for acquiring the historical temperature data sequence and the real-time temperature data sequence; obtaining the smoothing adjustment coefficient according to the variance of the temperature data in the historical temperature data sequence, obtaining several windows of the historical temperature data sequence, obtaining the benchmark applicable range of the smoothing adjustment coefficient according to the data variance in the windows of the historical temperature data sequence, and obtaining the applicable range correction factor of the smoothing adjustment coefficient under the first real-time temperature data according to the temperature data in the historical temperature data sequence and the real-time temperature data in the real-time temperature data sequence;

[0022] The range confirmation submodule is responsible for adjusting the reference applicable range of the smoothing adjustment coefficient using the applicable range correction factor of the smoothing adjustment coefficient under the real-time temperature data to obtain the applicable range of the smoothing adjustment coefficient under the real-time temperature data;

[0023] The data prediction submodule is responsible for obtaining the applicable time interval of the smoothing adjustment coefficient according to the applicable range of the smoothing adjustment coefficient under the real-time temperature data, and predicting the temperature data at each moment within the applicable time interval of the smoothing coefficient according to the smoothing coefficient.

[0024] Optional, equipment adjustment components, including:

[0025] The difference calculation module is responsible for receiving the real-time room temperature and the target room temperature, and calculating the difference between the real-time room temperature and the target room temperature;

[0026] The threshold setting module is responsible for setting the upper and lower thresholds of the adjustment strategy. The upper threshold is set to stop the heat pump unit when the real-time room temperature reaches or exceeds the target room temperature, and the lower threshold is set to start the heat pump unit and heat when the real-time room temperature is lower than the target room temperature;

[0027] The relationship judgment module is responsible for judging the relationship between the real-time room temperature and the target room temperature based on the difference; if the real-time room temperature ≥ the target room temperature, the heat pump unit stops running; if the real-time room temperature < the target room temperature, the real-time inlet water temperature, the real-time outlet water temperature and the ambient temperature are used to adjust the operating frequency of the heat pump unit.

[0028] Optionally, a threshold setting module includes:

[0029] The initial threshold setting submodule is responsible for setting the initial upper and lower thresholds according to the room temperature and target temperature of the same period in history, and associating the upper and lower thresholds with the adjustment strategy; the difference between the real-time room temperature and the target room temperature is determined according to the initial upper and lower thresholds to confirm whether the heat pump unit needs to be started;

[0030] The threshold adjustment setting submodule is responsible for setting the initial upper threshold and the lower threshold of the dynamic adjustment threshold. The dynamic adjustment threshold includes the start-up frequency of the heat pump unit. When the dynamic adjustment threshold is reached, the start-up interval of the heat pump unit becomes shorter.

[0031] The threshold range adjustment submodule is responsible for receiving the outdoor ambient temperature and comparing it with the historical outdoor ambient temperature, evaluating the similarity between the current ambient conditions and the historical ambient conditions to determine the adjustment range of the target temperature; adjusting the dynamic adjustment threshold based on the similarity and the adjustment range of the target temperature, and using a fuzzy logic controller to determine the adjustment range of the initial upper and lower thresholds according to the dynamic adjustment threshold.

[0032] Optionally, a threshold range adjustment submodule includes:

[0033] The fuzzy set making unit is responsible for processing the similarity using the fuzzy logic controller, mapping it to the corresponding dynamically adjusted threshold, and dividing the similarity interval into fuzzy sets including high similarity, medium similarity and low similarity;

[0034] The fuzzy rule processing unit is responsible for setting the fuzzy rules. If the similarity is high, the dynamic adjustment threshold is increased; if the similarity is low, the dynamic adjustment threshold is reduced. According to the output of the fuzzy rules, a specific dynamic threshold is generated accordingly; the specific increase and decrease standards can be pre-set;

[0035] The threshold adjustment execution unit is responsible for adjusting the initial upper threshold and lower threshold according to the calculated dynamic adjustment threshold. The initial upper threshold is increased by the dynamic adjustment threshold, and the initial lower threshold is subtracted from the dynamic adjustment threshold to obtain the adjusted upper threshold and lower threshold.

[0036] Optional, relationship judgment module, including:

[0037] The positive and negative judgment submodule is responsible for judging the positive and negative of the difference. When the difference is positive or zero, the real-time room temperature ≥ the target room temperature. When the difference is negative, the real-time room temperature < the target room temperature.

[0038] The strategy adjustment submodule is responsible for triggering the operation mode of the heat pump unit according to the difference result. When the difference is positive or zero, the heat pump unit stops running; when the difference is negative, the real-time inlet water temperature, real-time outlet water temperature and ambient temperature are obtained, and the operation frequency of the heat pump unit is adjusted according to the preset strategy;

[0039] The frequency monitoring submodule is responsible for monitoring the operating frequency. When the difference is positive or zero, the heat pump unit stops running.

[0040] Optional heat pump remote controller for room temperature control, also includes:

[0041] The display component is responsible for displaying the current room temperature, target room temperature, inlet and outlet water temperatures, and ambient temperature information; the target temperature can be adjusted through the interactive interface;

[0042] The power supply component is responsible for providing a stable power supply for the heat pump wire controller. At the same time, a status detection module is set to monitor the temperature, voltage and current of the power supply. When the corresponding threshold is exceeded, a fault alarm is issued.

[0043] The storage component is responsible for storing the set target temperature, historical temperature data and operating time information.

[0044] The present invention provides a method for controlling a heat pump wire controller for controlling room temperature, comprising the following steps:

[0045] Monitor the indoor temperature in real time and feed back the indoor temperature to the control components;

[0046] Receive the real-time temperature, compare the real-time temperature with the target temperature to obtain the difference, and according to the adjustment strategy, let the heat pump unit confirm the operating frequency according to the difference;

[0047] Wireless communication with intelligent terminals through wireless networks enables remote monitoring and control, access status and settings.

[0048] The data acquisition component of the present invention monitors the indoor temperature in real time to ensure that environmental information can be continuously acquired and updated; a high-precision temperature sensor is used to provide accurate temperature data. The significance achieved: Ensure that the heat pump wire controller can be intelligently adjusted according to the current indoor environment to avoid energy waste or reduced comfort due to inaccurate temperature sensing; by acquiring real-time data, abnormal conditions (such as drastic temperature changes) can be discovered in time, and necessary response strategies (such as rapid heating or cooling) can be provided. The equipment adjustment component compares the real-time temperature and the target temperature to calculate the temperature difference; based on the difference and the preset adjustment strategy, the operating frequency of the heat pump unit is derived to achieve optimal performance. The significance achieved: By accurately controlling the operating frequency of the heat pump, the energy efficiency ratio of the system is improved to achieve energy-saving effects; keep the indoor temperature within the set range, improve living comfort, and avoid discomfort caused by temperature fluctuations; realize intelligent operation, reduce the need for manual adjustment by users, and enhance user experience. The wireless communication component (4G communication module) realizes remote data transmission and control through wireless networks, supports users to interact with the heat pump wire controller through smart terminals (such as mobile phones, tablets, etc.); provides real-time status access, so that users can obtain temperature information and equipment operation status without being next to the equipment. The significance achieved: Provide convenient remote monitoring and control functions, allowing users to adjust temperature settings anywhere, greatly improving the flexibility of use; realize the connection of smart homes, users can link multiple devices, improve the convenience and intelligence of life; enhance user awareness and environmental awareness, users can intuitively understand the system operation status, which helps to promote energy-saving behavior.

[0049] 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.

[0050] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] 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:

[0052] Figure 1 The frame of the heat pump wire controller for controlling the room temperature in Example 1 of the present invention is Figure 1 ;

[0053] Figure 2 This is a block diagram of a data acquisition component in Embodiment 2 of the present invention;

[0054] Figure 3This is a block diagram of the equipment layout module in Embodiment 3 of the present invention;

[0055] Figure 4 This is a block diagram of the device operation module in Embodiment 4 of the present invention;

[0056] Figure 5 This is a block diagram of a device adjustment component in Embodiment 5 of the present invention;

[0057] Figure 6 This is a block diagram of a threshold setting module in Embodiment 6 of the present invention;

[0058] Figure 7 This is a block diagram of a threshold range adjustment submodule in Embodiment 7 of the present invention;

[0059] Figure 8 This is a block diagram of a relationship determination module in Embodiment 8 of the present invention;

[0060] Fig. 9 The frame of the heat pump wire controller for controlling the room temperature in Example 9 of the present invention Figure 2 ;

[0061] Fig.10 This is a flow chart of a control method for a heat pump wire controller for controlling room temperature in embodiment 10 of the present invention. DETAILED DESCRIPTION

[0062] 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.

[0063] 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 herein refers to and includes any or all possible combinations of one or more associated listed items.

[0064] When the following description refers 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 merely examples of devices and methods consistent with some aspects of the present application as described in detail. 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.

[0065] Example 1: Figure 1 As shown, an embodiment of the present invention provides a heat pump wire controller for controlling room temperature, comprising:

[0066] The data acquisition component is installed indoors to monitor the indoor temperature in real time and feed the indoor temperature back to the control component;

[0067] The equipment adjustment component is responsible for receiving the real-time temperature, comparing the real-time temperature with the target temperature to obtain the difference, and according to the adjustment strategy, allowing the heat pump unit to confirm the operating frequency according to the difference;

[0068] The wireless communication component is responsible for wireless communication with the intelligent terminal through the wireless network to achieve remote monitoring and control, access status and settings.

[0069] The working principle and beneficial effects of the above technical solution are as follows: the data acquisition component of this embodiment is installed indoors, monitors the indoor temperature in real time, and feeds the indoor temperature back to the control component; the device adjustment component receives the real-time temperature, compares the real-time temperature with the target temperature to obtain the difference, and according to the adjustment strategy, allows the heat pump unit to confirm the operating frequency according to the difference; the wireless communication component communicates with the intelligent terminal wirelessly through the wireless network to achieve remote monitoring and control, access status and settings. The data acquisition component of the above solution monitors the indoor temperature in real time to ensure that environmental information can be continuously acquired and updated; a high-precision temperature sensor is used to provide accurate temperature data. The significance achieved: ensure that the heat pump wire controller can be intelligently adjusted according to the current indoor environment to avoid energy waste or reduced comfort caused by inaccurate temperature sensing; by obtaining real-time data, abnormal conditions (such as drastic temperature changes) can be discovered in time, and necessary response strategies (such as rapid heating or cooling) can be provided. The device adjustment component compares the real-time temperature with the target temperature and calculates the temperature difference; based on the difference and the preset adjustment strategy, the operating frequency of the heat pump unit is derived to achieve optimal performance. Significance achieved: By precisely controlling the operating frequency of the heat pump, the energy efficiency ratio of the system is improved to achieve energy-saving effects; the indoor temperature is kept within the set range, the living comfort is improved, and the discomfort caused by temperature fluctuations is avoided; intelligent operation is achieved, the need for manual adjustment by users is reduced, and the user experience is enhanced. The wireless communication component (4G communication module) realizes remote transmission and control of data through wireless networks, and supports users to interact with the heat pump wire controller through smart terminals (such as mobile phones, tablets, etc.); it provides real-time status access, so that users can obtain temperature information and device operating status without being next to the device. Significance achieved: It provides convenient remote monitoring and control functions, allowing users to adjust temperature settings anywhere, greatly improving the flexibility of use; it realizes the connection of smart homes, and users can link multiple devices to improve the convenience and intelligence of life; it enhances user awareness and environmental awareness, and users can intuitively understand the system operating status, which helps to promote energy-saving behavior.

[0070] In summary, the collaboration of these components in this embodiment not only improves the intelligence level of the system and the user experience, but also has the following far-reaching significance: through intelligent control, the heat pump equipment can accurately respond to demand during operation, thereby reducing unnecessary energy consumption and promoting energy-saving goals; through continuous monitoring and intelligent adjustment, it can effectively maintain a relatively constant indoor temperature and improve the comfort of living and use; provide data-based decision-making, enhance users' trust in the equipment, and encourage them to actively manage and optimize energy use; can adapt to different usage scenarios, such as personal residences, offices, commercial spaces, etc., to achieve wide adaptability and flexibility. Through the effective collaboration of the above multiple components in this embodiment, the heat pump wire controller can achieve efficient and stable temperature control management, provide users with a comfortable indoor environment, and respond to the needs of modern smart homes.

[0071] Compared with the traditional heat pump wire controller, this embodiment integrates a temperature sensor and a 4G module. By installing the wire controller indoors, the indoor temperature can be detected in real time, thereby providing the controller with conditions to control the heat pump according to the room temperature. This is done through the target room temperature, real-time room temperature, real-time water inlet, real-time water outlet and ambient temperature. When the real-time room temperature ≥ the target room temperature, the heat pump unit stops running; when the real-time room temperature ≤ the target room temperature, the heat pump unit follows up the real-time inlet and outlet water temperature and ambient temperature, as well as the difference between the real-time room temperature and the target room temperature for intelligent calculation to determine the operating frequency of the heat pump; it can also select functions (whether to control by room temperature). If it is not controlled by room temperature, it is a conventional heat pump control method. This is suitable for different practical application scenarios.

[0072] This embodiment directly controls the switch and operating frequency of the heat pump by adjusting the room temperature, thereby avoiding the problem of energy waste caused by traditional water temperature control; it achieves true on-demand output and adjusts the load rate of the heat pump as needed; compared with traditional control, if it is necessary to control the start and stop of the unit by room temperature, it is necessary to connect additional temperature control and linkage switches, and it can only control the start and stop of the heat pump, but not the load rate of the heat pump.

[0073] Example 2: Figure 2 As shown, based on Example 1, the data acquisition component provided by the embodiment of the present invention includes:

[0074] The equipment layout module is responsible for dividing the indoor space into several areas and setting different types of temperature sensors according to different functional areas such as the living room, bedroom and kitchen. In each area, the temperature sensors are installed horizontally at different heights to capture the temperature differences at different heights.

[0075] Among them, the temperature sensor includes a digital temperature sensor, an infrared sensor and a temperature and humidity sensor to capture the temperature changes of the environment; the infrared sensor can be used to detect the temperature of the human body to adjust the temperature of the hot spot area;

[0076] The equipment operation module is responsible for collecting the current temperature data of each temperature sensor at fixed time intervals and smoothing the temperature data; after smoothing, the temperature data is transmitted to the control component via wired or wireless means;

[0077] The weighted processing module is responsible for weighting the readings of each temperature sensor based on the location of the temperature sensor and environmental factors, setting the weight coefficient, and weighted averaging the data of all temperature sensors to obtain the final real-time indoor temperature.

[0078] The working principle and beneficial effects of the above technical solution are as follows: the equipment layout module of this embodiment divides the indoor space into several areas, and sets different types of temperature sensors according to different functional areas such as the living room, bedroom and kitchen in the room; in each area, the temperature sensor is installed horizontally at different heights to capture the temperature difference at different heights; wherein, the temperature sensor includes a digital temperature sensor, an infrared sensor and a temperature and humidity sensor to capture the temperature change of the environment; the infrared sensor can be used to detect the temperature of the human body to adjust the temperature of the hot spot area; the equipment operation module collects the current temperature data of each temperature sensor at a fixed time interval and smoothes the temperature data; after the smoothing process is completed, the temperature data is transmitted to the control component by wire or wireless; the weighted processing module performs weighted processing on the reading of each temperature sensor based on the location of the temperature sensor and environmental factors, sets the weight coefficient, and performs weighted average on the data of all temperature sensors to obtain the final indoor real-time temperature. The equipment layout module of the above scheme divides the indoor space into different areas (such as living room, bedroom, kitchen, etc.), and selects the appropriate temperature sensor type according to the functional characteristics of each area; in each area, the temperature sensor will be installed horizontally at different heights (such as bottom, height and top) to capture the temperature changes at different heights. The airflow and temperature distribution at different heights are different, which can provide a more comprehensive understanding of the environmental conditions. The significance achieved: By reasonably arranging various types of sensors, different indoor areas and heights can be covered more comprehensively, so as to obtain more accurate ambient temperature data; setting different sensors for different functional areas can better adapt to the usage habits and needs of each area, realize personalized adjustment on the working effect of the heat pump, and improve the overall comfort. Each temperature sensor of the equipment operation module collects the current temperature data within a predetermined time interval to ensure real-time monitoring of the indoor temperature; the collected temperature data is smoothed to reduce data jitter caused by environmental fluctuations or sensor errors to ensure the reliability and accuracy of the data. The significance achieved: Ensure that the system can continuously monitor the temperature changes in each area and provide the latest data basis for the next step of intelligent analysis; the smoothed data can more objectively reflect the real temperature in the room, reduce the interference caused by short-term temperature fluctuations during the use of users, and thus improve the user experience. The weighted processing module sets the weight coefficient of each sensor according to the location information of the temperature sensor and different environmental factors, and performs weighted processing on each temperature reading; all weighted temperature data are weighted averaged to obtain the final indoor real-time temperature. Significance achieved: Through weighted processing, the relative positions of various sensors and their sensitivity to heat sources (such as sunlight, radiators, etc.) can be taken into account, so as to more accurately estimate the indoor temperature; the final real-time temperature data will become an important goal for the heat pump control system to make decisions, making its operation more intelligent and efficient, thereby achieving the management goal of balancing energy saving and comfort.

[0079] In summary, the modules of this embodiment jointly realize an efficient and intelligent indoor temperature collection and monitoring system, which not only improves the accuracy and reliability of temperature monitoring, but also provides a solid foundation for the intelligent control of the system, and ultimately creates a more comfortable and energy-saving living environment for users.

[0080] Example 3: Figure 3 As shown, based on Example 2, the equipment deployment module provided in this embodiment of the present invention includes:

[0081] The grid division submodule is responsible for gridding the indoor space to form a grid matrix, where each grid represents a certain area and volume; under the preset monitoring path, the number of times the temperature sensor covers each grid unit is recorded to form a grid matrix of coverage numbers;

[0082] The coverage statistics submodule is responsible for assigning the temperature value of the current grid unit to indicate the temperature characteristics of the current grid when the distance between the center position of the temperature sensor and the center of the grid is less than the effective temperature measurement width of the temperature sensor during the traversal process. After the traversal is completed, the temperature value of each grid unit is counted, the number of coverages is recorded, and the coverage statistics are completed.

[0083] The spacing confirmation submodule is responsible for performing spatial clustering processing through a preset neighborhood range according to the coverage number grid matrix to obtain a cluster area map; in the cluster area map, the maximum temperature measurement width of each cluster area is determined according to the temperature sensor specifications; the measurement line spacing of each cluster area is determined according to the ratio of the measurement path spacing to the maximum temperature measurement width;

[0084] The result output submodule is responsible for determining the direction and distribution number of the measurement line based on the shape of the cluster area and the total number of times it is covered; the measurement lines are evenly laid out according to the direction, distribution number and spacing of the measurement lines in the cluster area to form coverage of the temperature monitoring signal, and infrared sensors, digital temperature sensors and temperature and humidity sensors are laid out according to low, medium and high positions respectively, and the layout results of temperature sensors in different functional areas are determined, including the position, height and type of stable sensors;

[0085] Among them, according to the measuring range of the infrared sensor, the digital temperature sensor and the temperature and humidity sensor, (the position of the first temperature sensor is arbitrarily determined on the measuring line) the position on the measuring line is determined, and the positions of other types of temperature sensors at the same position are determined according to the low position, the middle position and the high position, and the adjacent distance of the same type of temperature sensors is obtained through the measuring line spacing.

[0086] The working principle and beneficial effects of the above technical solution are as follows: the grid division submodule of this embodiment divides the indoor space into grids to form a grid matrix, where each grid represents a certain area and volume; under the preset monitoring path, the number of times the temperature sensor covers each grid unit is recorded, and a coverage number grid matrix is ​​formed; during the traversal process, when the distance between the center position of the temperature sensor and the center of the grid is less than the effective temperature measurement width of the temperature sensor, the coverage statistics submodule assigns the current grid unit temperature value to represent the temperature characteristics of the current grid; after the traversal is completed, the temperature value of each grid unit is counted, the number of coverages is recorded, and the coverage statistics are completed; the spacing confirmation submodule calculates the coverage number grid matrix through the preset The neighborhood range is spatially clustered to obtain a cluster area map; in the cluster area map, the maximum temperature measurement width of each cluster area is determined according to the temperature sensor specifications; the measurement line spacing of each cluster area is determined according to the ratio of the measurement path spacing to the maximum temperature measurement width; the result output submodule determines the direction and distribution number of the measurement line based on the shape of the cluster area and the total number of times it is covered; according to the measurement line direction, distribution number and measurement line spacing of the cluster area, the measurement lines are evenly laid out to form the coverage of the temperature monitoring signal; infrared sensors, digital temperature sensors and temperature and humidity sensors are laid out according to low, medium and high positions; the temperature sensor layout results of different functional areas are determined, including the location, height and type of stable sensors. The grid division submodule of the above scheme realizes accurate grid division of indoor space and generates a grid matrix; it provides a basis for subsequent monitoring and ensures that each grid can independently perform temperature monitoring. Under the preset monitoring path, the temperature sensor coverage is tracked to form a grid matrix of coverage numbers. Significance: Through grid division, the indoor temperature distribution can be systematically recorded and analyzed, providing detailed spatial temperature characteristics; it helps to detect and identify temperature differences in the space and support the formulation of intelligent temperature control strategies. During the traversal process, when the distance between the sensor center and the grid center is less than the effective temperature measurement width, the coverage statistics submodule automatically assigns a value to the current grid unit; it provides temperature values ​​and coverage times for each grid to form comprehensive coverage statistics. Significance: It realizes the precision of temperature measurement and ensures that the temperature characteristics can truly reflect the indoor environment; by recording the coverage times, it helps to evaluate the effectiveness of sensor deployment and whether the position needs to be adjusted. The spacing confirmation submodule combines the coverage number grid matrix, performs spatial clustering processing on the data through the neighborhood range, and generates a cluster area map; determines the maximum temperature measurement width of each cluster area, and calculates the measurement line spacing of each cluster area. Significance: Through clustering processing, the optimal configuration of the temperature monitoring area is achieved to ensure that each area is fully supported by temperature data; it helps to formulate a reasonable measurement strategy so that the deployment of sensors is both efficient and practical.The result output submodule determines the direction and distribution strategy of the measurement line, and evenly arranges the measurement lines to achieve temperature monitoring signal coverage; different types of temperature sensors are arranged according to the preset height classification (low, medium, high) to ensure that they meet different measurement requirements. Significance: The final sensor layout results provide a basis for the effective operation of the indoor temperature monitoring system, ensuring the temperature monitoring coverage of different functional areas; it can improve the temperature control effect in a targeted manner according to the direction of the measurement line and the type of sensor, thereby optimizing the indoor environment and improving energy efficiency.

[0087] In summary, the design and mutual cooperation of the various submodules of this embodiment ensure accurate and comprehensive temperature monitoring in complex indoor environments. Through layered design, the system can meet the functional requirements of different rooms while improving user experience and environmental comfort. Overall, this equipment layout module not only provides a clear direction for project implementation, but also provides a practical reference for subsequent data analysis and application, which is conducive to the precise control and management of smart homes and buildings.

[0088] Example 4: Figure 4 As shown, based on Example 2, the device operation module provided in this embodiment of the present invention includes:

[0089] The coefficient acquisition submodule is responsible for acquiring the historical temperature data sequence and the real-time temperature data sequence; obtaining the smoothing adjustment coefficient according to the variance of the temperature data in the historical temperature data sequence, obtaining several windows of the historical temperature data sequence, obtaining the benchmark applicable range of the smoothing adjustment coefficient according to the data variance in the windows of the historical temperature data sequence, and obtaining the applicable range correction factor of the smoothing adjustment coefficient under the first real-time temperature data according to the temperature data in the historical temperature data sequence and the real-time temperature data in the real-time temperature data sequence;

[0090] The range confirmation submodule is responsible for adjusting the reference applicable range of the smoothing adjustment coefficient using the applicable range correction factor of the smoothing adjustment coefficient under the real-time temperature data to obtain the applicable range of the smoothing adjustment coefficient under the real-time temperature data;

[0091] The data prediction submodule is responsible for obtaining the applicable time interval of the smoothing adjustment coefficient according to the applicable range of the smoothing adjustment coefficient under the real-time temperature data, and predicting the temperature data at each moment within the applicable time interval of the smoothing coefficient according to the smoothing coefficient.

[0092] The working principle and beneficial effects of the above technical solution are as follows: the coefficient acquisition submodule of this embodiment acquires a historical temperature data sequence and a real-time temperature data sequence; obtains a smoothing adjustment coefficient according to the variance of the temperature data in the historical temperature data sequence, obtains several windows of the historical temperature data sequence, obtains a benchmark applicable range of the smoothing adjustment coefficient according to the data variance in the windows of the historical temperature data sequence, obtains an applicable range correction factor of the smoothing adjustment coefficient under the first real-time temperature data according to the temperature data in the historical temperature data sequence and the real-time temperature data in the real-time temperature data sequence; the range confirmation submodule adjusts the benchmark applicable range of the smoothing adjustment coefficient using the applicable range correction factor of the smoothing adjustment coefficient under the real-time temperature data to obtain the applicable range of the smoothing adjustment coefficient under the real-time temperature data; the data prediction submodule obtains an applicable time interval of the smoothing adjustment coefficient according to the applicable range of the smoothing adjustment coefficient under the real-time temperature data, and predicts the temperature data at each moment within the applicable time interval of the smoothing coefficient according to the smoothing coefficient. The coefficient acquisition submodule of the above scheme acquires the historical temperature data sequence and the real-time temperature data sequence, which can provide background information for temperature monitoring and help understand the trend of temperature change; by calculating the variance of the historical temperature data, the smoothing adjustment coefficient is obtained, which is used to evaluate and adjust the volatility of the temperature data, which can help reduce the noise caused by instantaneous changes; the historical data consists of multiple windows, and the benchmark application range of the smoothing adjustment coefficient is determined by variance analysis, which provides a basis for subsequent adjustment and correction. Significance: It ensures the accuracy and credibility of the real-time monitoring data, reflects the real changes of the temperature data through the smoothing adjustment coefficient, and helps the stable analysis and decision-making of future data. The range confirmation submodule uses the correction factor of the smoothing adjustment coefficient application range calculated under the real-time temperature data to dynamically adjust the benchmark application range of the previously calculated smoothing coefficient; it can adaptively adjust the smoothing adjustment coefficient according to the changes in real-time data, and provide an adjustment range that is more in line with the current environment. Significance: By calibrating the smoothing adjustment coefficient in real time, it ensures that the data processing can reflect the latest temperature changes, reduces the information deviation that may be caused by lag, and thus improves the overall responsiveness and stability of the system. The data prediction submodule predicts the temperature data at future moments according to the applicable range of the smooth adjustment coefficient under the real-time temperature data. The prediction can make reasonable inferences based on the trend of past data and the current environmental status; it clarifies the applicable time interval of the smooth adjustment coefficient to ensure that the predicted data is within a reasonable range and enhance the reliability of the data. Significance: By predicting temperature data, it provides a basis for intelligent control or intervention, and can respond in advance to peak demand or abnormal climate conditions, which is crucial for energy management, environmental control, and comfort maintenance.

[0093] In summary, the various submodules of this embodiment form a dynamic temperature monitoring and adjustment system through the early historical data collection and analysis, real-time data adjustment and prediction of future temperature data. Its technical effects are mainly reflected in improving the accuracy of temperature monitoring, enhancing the responsiveness of the system, and providing reliable data prediction, which provides a basis and guarantee for subsequent temperature control and management, thereby achieving environmental optimization and efficient use of resources. It helps to improve the accuracy and efficiency of temperature control in smart homes, smart buildings or industrial environments, and at the same time, enhances the system's adaptive ability, enabling it to better cope with the ever-changing internal and external environmental conditions.

[0094] Example 5: Figure 5 As shown, based on Example 1, the device adjustment component provided in this embodiment of the present invention includes:

[0095] The difference calculation module is responsible for receiving the real-time room temperature and the target room temperature, and calculating the difference between the real-time room temperature and the target room temperature;

[0096] The threshold setting module is responsible for setting the upper and lower thresholds of the adjustment strategy. The upper threshold is set to when the real-time room temperature reaches or exceeds the target room temperature (+1°C), the heat pump unit stops working, and the lower threshold is set to when the real-time room temperature is lower than the target room temperature (-1°C), the heat pump unit starts and heats;

[0097] The relationship judgment module is responsible for judging the relationship between the real-time room temperature and the target room temperature based on the difference; if the real-time room temperature ≥ the target room temperature, the heat pump unit stops running; if the real-time room temperature < the target room temperature, the real-time inlet water temperature, the real-time outlet water temperature and the ambient temperature are used to adjust the operating frequency of the heat pump unit;

[0098] The target value calculation expression of the operating frequency is:

[0099] text 运行频率 (f) = k1·text 差值 + k2 (real-time water inlet temperature - real-time water outlet temperature) + k3 (ambient temperature - real-time water outlet temperature);

[0100] Where k1, k2 and k3 represent the experience adjustment coefficients.

[0101] The working principle and beneficial effects of the above technical solution are as follows: the difference calculation module of this embodiment receives the real-time room temperature and the target room temperature, and calculates the difference between the real-time room temperature and the target room temperature; the threshold setting module sets the upper and lower thresholds of the adjustment strategy, the upper threshold is set to when the real-time room temperature reaches or exceeds the target room temperature (+1°C), the heat pump unit stops working, and the lower threshold is set to when the real-time room temperature is lower than the target room temperature (-1°C), the heat pump unit starts and heats; the relationship judgment module judges the relationship between the real-time room temperature and the target room temperature according to the difference; if the real-time room temperature ≥ the target room temperature, the heat pump unit stops running; if the real-time room temperature < the target room temperature, the real-time water inlet temperature, the real-time water outlet temperature and the ambient temperature are used to adjust the operating frequency of the heat pump unit; the difference calculation module of the above solution continuously receives the real-time room temperature and the target room temperature, and calculates the difference between the two, and quickly provides the key information required for temperature control through simple mathematical operations. Significance: The calculation of the difference is the basis of all subsequent adjustment strategies, and it provides a quantitative basis for judging whether the indoor temperature meets the preset target; accurate difference calculation can help the system flexibly adjust the operating state of the heat pump unit and improve environmental comfort. The threshold setting module specifies the upper and lower thresholds according to the set rules. When the real-time room temperature reaches the upper limit of the target room temperature (+1°C), the system will stop the heat pump; conversely, if the room temperature is lower than the lower limit of the target room temperature (-1°C), the heat pump will be started for heating. This module refines and standardizes the temperature control strategy in the system. Significance: The setting of upper and lower thresholds effectively avoids the frequent start and stop of the heat pump, reducing equipment wear and energy consumption. In addition, by preventing the temperature from being too high or too low, the comfort and safety of the indoor environment are ensured, and the user experience is improved. Relationship judgment module This module uses the difference and the set threshold to judge the relationship between the real-time room temperature and the target room temperature; through logical judgment, it determines the start and stop status of the heat pump unit. Significance: Real-time relationship judgment allows the system to respond quickly at inappropriate temperatures, avoiding waste of resources and user discomfort. It effectively coordinates the operating status of the equipment to ensure energy efficiency and user comfort; the target value calculation optimizes the operating efficiency of the heat pump to ensure that heating or cooling is based on actual needs rather than a fixed pattern; through adaptive adjustment, the system can maintain the target room temperature more accurately according to the current environmental conditions, greatly improving energy efficiency and comfort.

[0102] In summary, this embodiment achieves efficient and intelligent control of the heat pump unit through real-time monitoring, intelligent judgment and precise calculation; avoids resource waste by achieving real-time feedback and intelligent adjustment; ensures that the indoor environment is always maintained within the comfort range set by the user; extends the life of the equipment: reduces wear by reducing frequent start and stop of the equipment; achieves automatic control, reduces manual intervention by the user, and improves the intelligence level of the system. This makes environmental control more intelligent, efficient and flexible to meet the dual needs of comfort and energy efficiency in modern home or commercial environments.

[0103] Example 6: Figure 6 As shown, based on Example 5, the threshold setting module provided in this embodiment of the present invention includes:

[0104] The initial threshold setting submodule is responsible for setting the initial upper and lower thresholds according to the room temperature and target temperature of the same period in history, and associating the upper and lower thresholds with the adjustment strategy; the difference between the real-time room temperature and the target room temperature is determined according to the initial upper and lower thresholds to confirm whether the heat pump unit needs to be started;

[0105] The threshold adjustment setting submodule is responsible for setting the initial upper threshold and the lower threshold of the dynamic adjustment threshold. The dynamic adjustment threshold includes the start-up frequency of the heat pump unit. When the dynamic adjustment threshold is reached, the start-up interval of the heat pump unit becomes shorter.

[0106] The threshold range adjustment submodule is responsible for receiving the outdoor ambient temperature and comparing it with the historical outdoor ambient temperature, evaluating the similarity (Euclidean distance) between the current ambient conditions and the historical ambient conditions to determine the adjustment range of the target temperature; adjusting the dynamic adjustment threshold based on the similarity and the adjustment range of the target temperature, and using a fuzzy logic controller to determine the adjustment range of the initial upper and lower thresholds according to the dynamic adjustment threshold.

[0107] The working principle and beneficial effects of the above technical solution are as follows: the initial threshold setting submodule of this embodiment sets the initial upper and lower thresholds according to the room temperature and target temperature of the same period in history, and associates the upper and lower thresholds with the adjustment strategy; the difference between the real-time room temperature and the target room temperature is determined according to the initial upper and lower thresholds to confirm whether the heat pump unit needs to be started; the threshold adjustment setting submodule sets the dynamic adjustment threshold of the initial upper and lower thresholds, and the dynamic adjustment threshold includes the start-up frequency of the heat pump unit. When the dynamic adjustment threshold is reached, the start-up interval of the heat pump unit becomes shorter; the threshold range adjustment submodule receives the outdoor ambient temperature and compares it with the historical outdoor ambient temperature, evaluates the similarity between the current ambient conditions and the historical ambient conditions, and determines the adjustment range of the target temperature; the dynamic adjustment threshold is adjusted based on the similarity and the adjustment range of the target temperature, and a fuzzy logic controller is used to determine the adjustment amplitude of the initial upper and lower thresholds according to the dynamic adjustment threshold. The initial threshold setting submodule of the above scheme automatically calculates and sets the initial upper and lower thresholds based on the historical room temperature and target temperature data of the same period; associates these initial thresholds with the corresponding adjustment strategies to ensure that the system can respond appropriately under different environmental conditions; monitors the difference between the room temperature and the target room temperature in real time to determine whether the difference exceeds the set initial threshold, thereby deciding whether the heat pump unit needs to be started. Significance: By setting thresholds based on historical data, the uncertainty caused by human intervention can be reduced and a stable foundation can be provided; ensure that the heat pump unit is started only when necessary, thereby saving energy and improving the overall efficiency of the system; by closely monitoring the difference between the indoor temperature and the target temperature, the user's comfort experience is improved and the temperature fluctuation is reduced. The threshold adjustment setting submodule provides the function of adjusting the start-up frequency of the heat pump unit. When the dynamic adjustment threshold is reached, the system can shorten the start-up interval of the heat pump unit; adjust the threshold to maintain the indoor comfortable temperature according to the response speed to changes in the external environment and user needs. Significance: By shortening the startup interval, the system can adapt to sudden temperature changes more quickly, improve response speed, and avoid user discomfort; the startup mechanism based on dynamic adjustment thresholds can use energy more efficiently, reduce system energy consumption and extend the service life of the equipment; enable the system to automatically optimize the operation strategy according to real-time conditions and gradually form adaptive control capabilities. The threshold range adjustment submodule receives and analyzes the outdoor ambient temperature and evaluates the similarity between the current ambient conditions and historical conditions; according to the similarity evaluation results, adjust the dynamic adjustment threshold of the target temperature to achieve more flexible control through the fuzzy logic controller; based on the similarity, determine the adjustment range of the initial upper and lower thresholds to ensure that the system remains within a suitable operating range.Significance: By comparing the similarity between the real-time environment and the historical environment, the system can more accurately determine when the target temperature or operating strategy needs to be adjusted, thereby enhancing the system's ability to adapt to changing environments. The fuzzy logic controller can process imprecise or ambiguous information to achieve smoother temperature control and avoid mutations caused by traditional control methods. With the assistance of intelligent algorithms, the system can provide users with a more detailed and personalized temperature control experience, optimize comfort, and enhance user satisfaction.

[0108] In summary, the threshold setting module of this embodiment can achieve precise control of indoor temperature by integrating the functions of various sub-modules. The synergy between the various sub-modules will bring the following effects: the energy efficiency of the entire system is improved, reducing energy consumption and operating costs; through intelligent adjustment, the user's comfort experience is continuously optimized to avoid sudden discomfort caused by environmental changes; the entire system can effectively respond to environmental changes and flexibly adjust to form an intelligent and automated temperature control solution. The threshold setting module not only improves the operating efficiency of the system, but also finds a good balance between user comfort and resource conservation, which has important practical application significance.

[0109] Example 7: Figure 7 As shown, based on Example 6, the threshold range adjustment submodule provided in this embodiment of the present invention includes:

[0110] The fuzzy set making unit is responsible for processing the similarity using the fuzzy logic controller, mapping it to the corresponding dynamically adjusted threshold, and dividing the similarity interval into fuzzy sets including high similarity, medium similarity and low similarity;

[0111] The fuzzy rule processing unit is responsible for setting the fuzzy rules. If the similarity is high, the dynamic adjustment threshold is increased; if the similarity is low, the dynamic adjustment threshold is reduced. According to the output of the fuzzy rules, a specific dynamic threshold is generated accordingly; the specific increase and decrease standards can be pre-set;

[0112] The threshold adjustment execution unit is responsible for adjusting the initial upper threshold and lower threshold according to the calculated dynamic adjustment threshold. The initial upper threshold is increased by the dynamic adjustment threshold, and the initial lower threshold is subtracted from the dynamic adjustment threshold to obtain the adjusted upper threshold and lower threshold.

[0113] The working principle and beneficial effects of the above technical solution are as follows: the fuzzy set making unit of this embodiment processes the similarity by using a fuzzy logic controller, maps it to the corresponding dynamic adjustment threshold, and divides the similarity interval into fuzzy sets including high similarity, medium similarity and low similarity; the fuzzy rule processing unit sets the fuzzy rule, if the similarity is high similarity, the dynamic adjustment threshold is increased; if the similarity is low similarity, the dynamic adjustment threshold is reduced; according to the output of the fuzzy rule, a specific dynamic threshold is generated correspondingly; the specific increase and decrease standards can be pre-set; the threshold adjustment execution unit adjusts the initial upper and lower thresholds according to the calculated dynamic adjustment threshold, the initial upper threshold increases the dynamic adjustment threshold, and the initial lower threshold subtracts the dynamic adjustment threshold to obtain the adjusted upper and lower thresholds. The fuzzy set making unit of the above scheme processes the similarity by a fuzzy logic controller, and divides the similarity into multiple fuzzy sets. These sets usually include three situations of "high similarity", "medium similarity" and "low similarity". This division can handle ambiguity and uncertainty, and facilitates the system to respond more flexibly according to environmental changes. Significance: It provides a basic data structure for fuzzy control, so that the system can make reasonable judgments when facing uncertain environmental variables; in this way, the system can maintain adaptability in a complex and changing environment, reduce temperature control errors caused by environmental fluctuations, and ensure that users continue to feel a comfortable indoor environment. The fuzzy rule processing unit processes the fuzzy set and sets the corresponding fuzzy rules. For example, if the similarity is "high similarity", the dynamic adjustment threshold is increased; if it is "low similarity", the dynamic adjustment threshold is reduced; according to the output of the fuzzy rule, a specific dynamic adjustment threshold is generated for different similarity situations. Significance: The design of this unit realizes the intelligence of the algorithm, so that the system can not only respond according to the data, but also automatically adjust the reaction strategy based on the preset rules; fuzzy rule processing helps to ensure that the system can adapt to changes and reduce the negative impact caused by sensor errors or external interference, thereby enhancing the overall stability and accuracy of the system. The threshold adjustment execution unit adjusts the initial upper and lower thresholds according to the calculated dynamic adjustment threshold. Specifically, the initial upper threshold increases the dynamic adjustment threshold, while the initial lower threshold reduces the dynamic adjustment threshold, thereby obtaining new upper and lower thresholds. Significance: It realizes flexible dynamic adjustment of the temperature control system, enabling the system to respond to environmental changes in a timely manner, maintain the first feedback, and ensure that the temperature is within a comfortable range; it improves the adaptive ability of the entire system, thereby achieving the best energy utilization efficiency and ensuring the user's comfortable experience. This not only helps to improve user satisfaction, but also achieves energy conservation and emission reduction to a certain extent, and promotes environmental protection.

[0114] In summary, this embodiment forms a closed-loop control system and realizes intelligent temperature control based on fuzzy logic. By measuring and processing environmental changes, the system can self-adjust under complex and uncertain conditions to achieve the ultimate goal of optimizing energy consumption, improving user experience and environmental comfort. At the same time, this modular design makes the system highly scalable and can flexibly respond to possible future technological developments and business needs.

[0115] Example 8: Figure 8 As shown, based on Example 5, the relationship judgment module provided in this embodiment of the present invention includes:

[0116] The positive and negative judgment submodule is responsible for judging the positive and negative of the difference. When the difference is positive or zero, the real-time room temperature ≥ the target room temperature. When the difference is negative, the real-time room temperature < the target room temperature.

[0117] The strategy adjustment submodule is responsible for triggering the operation mode of the heat pump unit according to the difference result. When the difference is positive or zero, the heat pump unit stops running; when the difference is negative, the real-time inlet water temperature, real-time outlet water temperature and ambient temperature are obtained, and the operation frequency of the heat pump unit is adjusted according to the preset strategy;

[0118] The frequency monitoring submodule is responsible for monitoring the operating frequency. When the difference is positive or zero, the heat pump unit stops running.

[0119] The working principle and beneficial effects of the above technical solution are as follows: the positive and negative judgment submodule of this embodiment judges the positive and negative of the difference. When the difference is positive or zero, the real-time room temperature ≥ the target room temperature, and when the difference is negative, the real-time room temperature < the target room temperature; the strategy adjustment submodule triggers the operation mode of the heat pump unit according to the result of the difference. When the difference is positive or zero, the heat pump unit stops running; when the difference is negative, the real-time inlet water temperature, the real-time outlet water temperature and the ambient temperature are obtained, and the operation frequency of the heat pump unit is adjusted according to the preset strategy; the frequency monitoring submodule monitors the operation frequency, and when the difference is positive or zero, the heat pump unit stops running. The positive and negative judgment submodule of the above scheme analyzes and judges the positive and negative of the difference, providing a clear judgment standard and laying the foundation for subsequent decision-making and execution; by accurately judging the temperature difference, the system can effectively identify the current temperature state, thereby taking corresponding control measures to ensure a comfortable indoor environment; correct temperature judgment can help the system reduce misoperation, avoid unnecessary energy consumption and equipment friction, and thus improve the overall operation efficiency of the heat pump. When the difference is positive or zero, the heat pump unit stops running to avoid indoor overheating. When the difference is negative, the real-time inlet water temperature, outlet water temperature and ambient temperature are used as input data to determine the operating frequency of the heat pump unit according to the preset adjustment strategy. Significance: By dynamically adjusting the operating status of the heat pump unit, this submodule can indirectly optimize energy consumption according to environmental conditions and user needs, achieve effective response to the real-time environment, ensure that the heat pump heats in time when needed, and prevent energy waste. In addition, it also improves the user experience and ensures that heating can be provided in time when the temperature is lower than the set value to maintain indoor comfort. When the difference is positive or zero, the system detects that the heat pump unit has stopped running to ensure that the system is in an energy-saving state. It can also provide real-time feedback on changes in the operating frequency so that the system can respond immediately. Significance: The frequency monitoring submodule provides real-time feedback on the operating status of the heat pump unit, allowing the system to promptly identify whether the equipment is working as expected; by effectively monitoring the frequency, equipment failures caused by overload or improper frequency can be prevented, the service life of the equipment can be extended, and operation and maintenance costs can be reduced; in addition, ensuring that the heat pump unit stops operating when not necessary helps save electricity and supports environmental protection goals.

[0120] In summary, this embodiment together constitutes a relationship judgment module, which realizes intelligent and automated management of the heat pump unit through clear judgment and effective control strategy. Its comprehensive effect is reflected in: being able to adjust the operation strategy according to the temperature difference between indoor and outdoor, improving adaptability to environmental changes; avoiding unnecessary energy consumption, ensuring efficient operation of the heat pump unit; starting the heat pump in time when heating is needed, and stopping after reaching the set temperature to provide a comfortable living environment; through reasonable configuration and linkage, the settings of each submodule will help achieve the goal of the intelligent temperature control system, making it not only efficient but also having a good user experience.

[0121] Example 9: Fig. 9 As shown, based on Example 1, the heat pump wire controller for controlling room temperature provided by the embodiment of the present invention further includes:

[0122] The display component is responsible for displaying the current room temperature, target room temperature, inlet and outlet water temperatures, and ambient temperature, etc.; the target temperature can be adjusted through the interactive interface;

[0123] The power supply component is responsible for providing a stable power supply for the heat pump wire controller. At the same time, a status detection module is set to monitor the temperature, voltage and current of the power supply. When the corresponding threshold is exceeded, a fault alarm is issued.

[0124] The storage component is responsible for storing the set target temperature, historical temperature data, operating time and other information.

[0125] The working principle and beneficial effects of the above technical solution are as follows: the display component of this embodiment displays the current room temperature, target room temperature, inlet and outlet water temperature and ambient temperature; the target temperature is adjusted through the interactive interface; the power supply component provides a stable power supply for the heat pump wire controller; a state detection module is provided to monitor the temperature, voltage and current of the power supply, and a fault alarm is issued when the corresponding threshold is exceeded; the storage component stores the set target temperature, historical temperature data and operation time and other information. The display component visualization of the above solution helps users understand the current working status of the system; in addition, through the interactive interface, users can easily adjust the target temperature. Significance: Provide intuitive information feedback, improve users' understanding of the system status, and enable users to reasonably adjust the target room temperature according to actual needs; simplify the interaction process between users and the system through the interactive interface, and improve user experience. Real-time monitoring and adjustment of temperature enable users to better control the indoor environment and maintain comfort. The power supply component provides a stable power supply for the heat pump wire controller and all its associated components to ensure the continuous normal operation of the system; at the same time, the component also has a state detection function, which can monitor the temperature, voltage and current of the power supply in real time; when the monitoring value exceeds the preset threshold, the system will generate a fault alarm to remind the user or perform a safe shutdown. Significance: Stable power supply is the basis for ensuring the safe and efficient operation of heat pump wire controllers and related equipment. Any power fluctuation may affect the working efficiency and safety of the system; the fault detection and alarm function enhances the safety of the system, helps to discover potential problems in time, thereby avoiding equipment damage and safety accidents, reducing maintenance costs, and improving system reliability. The storage component provides data support for the operating status of the system. The stored data can provide a basis for subsequent analysis and optimization, and support intelligent decision-making or system learning. Significance: By recording historical data, the storage component can help users understand the use history and operation mode of the equipment, so as to make more appropriate setting adjustments and optimize the use efficiency of the heat pump; in addition, storing historical temperatures and operating hours is helpful for system maintenance and fault diagnosis, making it easier for technicians to retrieve data for analysis when needed, and improving the maintenance efficiency of the equipment; long-term data accumulation and analysis can provide a basis for the optimization of intelligent control strategies, support more advanced learning algorithms and prediction models, and ultimately improve the overall intelligence level of the system.

[0126] In summary, the present embodiments together constitute an important functional architecture of the heat pump wire controller, and work together to achieve the following comprehensive effects: through the real-time data display and interactive design of the display component, the user can easily monitor and adjust the indoor temperature to improve the living comfort; the power supply component ensures that the system operates under a stable and safe power supply, and can provide timely maintenance information through fault alarms; the storage component provides data support for subsequent system optimization and decision-making, enhances the intelligent characteristics of the system, ensures the efficient, stable and safe operation of the heat pump wire controller, and improves the user experience and system intelligence level.

[0127] Example 10: Fig.10 As shown, based on Embodiments 1 to 9, the control method of the heat pump wire controller for controlling the room temperature provided by the embodiment of the present invention comprises the following steps:

[0128] S100: monitors the indoor temperature in real time and feeds the indoor temperature back to the control component;

[0129] S200: receiving the real-time temperature, and comparing the real-time temperature with the target temperature to obtain a difference, and according to the adjustment strategy, allowing the heat pump unit to confirm the operating frequency according to the difference;

[0130] S300: Wireless communication with intelligent terminals via wireless network to achieve remote monitoring and control, access status and settings.

[0131] The working principle and beneficial effects of the above technical solution are as follows: the present embodiment first monitors the indoor temperature in real time and feeds back the indoor temperature to the control component; secondly, receives the real-time temperature, and compares the real-time temperature with the target temperature to obtain the difference, and according to the adjustment strategy, allows the heat pump unit to confirm the operating frequency according to the difference; finally, wirelessly communicates with the intelligent terminal through the wireless network to realize remote monitoring and control, access status and settings. Step S100 of the above scheme realizes real-time monitoring of the indoor temperature, ensuring that the system can obtain the latest environmental data; after the monitoring is completed, the system passes the detected indoor temperature data to the control component for subsequent processing. Significance: Real-time monitoring provides basic data support, ensuring that subsequent temperature judgments and control decisions are based on the latest status, so that the heat pump can respond quickly to environmental changes and improve the efficiency of room temperature regulation; the feedback mechanism makes the entire temperature control system more dynamic and intelligent, which helps to form a good interactive cycle between the user and the system, and provide users with a more comfortable indoor environment. Step S200 receives the real-time temperature and compares the real-time temperature with the target temperature to obtain the difference. According to the adjustment strategy, the heat pump unit confirms the operating frequency according to the difference. The control component receives the real-time room temperature feedback and compares it with the target temperature set by the user to calculate the temperature difference (difference); according to the preset adjustment strategy, the system will determine the required operating frequency of the heat pump unit and make corresponding adjustments. Significance: The calculation of the difference and the subsequent confirmation of the operating frequency are the key to achieving precise temperature control. Through this step, the heat pump can flexibly adjust the operating state according to actual needs to avoid excessive heating or cooling, thereby improving energy efficiency; determining the operating frequency can effectively prevent energy waste, ensure that the system provides sufficient power when the demand is highest, and reduce power output when the demand is low, thereby extending the life of the equipment. Step S300 wirelessly communicates with the smart terminal through the wireless network to achieve remote monitoring and control. The access status and settings allow the heat pump wire controller to communicate with the smart terminal (such as a smart phone, tablet computer, etc.) through the wireless network, providing users with remote monitoring and control functions; users can understand the working status of the system anytime and anywhere, and adjust settings such as the target temperature. Significance: Remote monitoring and control significantly improves user convenience and comfort. Users can not only adjust the temperature at home through a wired controller, but also operate it through smart devices at any location, breaking the limitations of physical space; the remote access function enables users to understand the current environmental status in real time and provides more control options, thereby enhancing user experience and satisfaction; this intelligent control method also makes management more efficient, and users can make dynamic adjustments based on actual needs.

[0132] In summary, this embodiment together constitutes the control logic of the heat pump wire controller, which effectively realizes the monitoring and adjustment of room temperature. The real-time monitoring and feedback mechanism enables the system to respond quickly to temperature changes and improve the accuracy of room temperature control; the difference calculation and corresponding operating frequency adjustment ensure that the heat pump operates in the best state and avoids unnecessary energy consumption; the remote monitoring and control function expands the user's control ability, enabling it to manage the indoor environment more conveniently; through the coordinated work of these steps, the entire control system has been comprehensively improved in the direction of online control, high efficiency and intelligence, providing users with a higher quality living environment.

[0133] Embodiment 11: Based on Embodiment 10, the process of real-time monitoring of indoor temperature provided by the embodiment of the present invention comprises the following steps:

[0134] S101: Divide the indoor space into several areas, and install different types of temperature sensors according to different functional areas such as the living room, bedroom and kitchen. In each area, install the temperature sensors horizontally at different heights to capture the temperature differences at different heights.

[0135] S102: Each temperature sensor collects current temperature data at a fixed time interval and performs smoothing on the temperature data; after the smoothing is completed, the temperature data is transmitted to the control component via a wired or wireless method;

[0136] S103: Based on the location of the temperature sensor and environmental factors, the reading of each temperature sensor is weighted, a weight coefficient is set, and the data of all temperature sensors are weighted averaged to obtain the final real-time indoor temperature.

[0137] The working principle and beneficial effects of the above technical solution are as follows: the present embodiment first divides the indoor space into several areas, and sets different types of temperature sensors according to different functional areas such as the living room, bedroom and kitchen in the room; in each area, the temperature difference at different heights is captured by combining the method of installing the temperature sensor horizontally at different heights; secondly, each temperature sensor will collect the current temperature data at a fixed time interval, and smooth the temperature data; after the smoothing process is completed, the temperature data is transmitted to the control component by wired or wireless means; finally, based on the location of the temperature sensor and environmental factors, the reading of each temperature sensor is weighted, the weight coefficient is set, and the data of all temperature sensors are weighted averaged to obtain the final indoor real-time temperature. Step S101 of the above scheme divides the indoor space into zones and sets different types of temperature sensors, and reasonably selects the sensor type and installation location according to the specific functions of each area (living room, bedroom, kitchen, etc.). This strategy allows the system to capture temperature changes at different heights and different locations; by installing sensors horizontally at different heights, the temperature difference formed by the flow of hot air in the space can be obtained. Significance: The detailed area division and sensor arrangement improve the comprehensiveness and accuracy of room temperature monitoring, so that the system can better adapt to the different needs of each functional area and achieve more accurate temperature control; the heightened sensor can effectively capture the temperature changes caused by heat convection, ensuring that the system reflects the environment more realistically, so as to better cope with the diversified needs of indoor functions. Step S102 sets a timed temperature data collection mechanism to ensure that the latest indoor temperature information is obtained regularly; through smoothing, the instability of temperature readings caused by instantaneous fluctuations (such as people entering and exiting, equipment operation, etc.) can be reduced, such as by using algorithms such as moving average; the processed temperature data is efficiently transmitted to the control component via wired or wireless means to ensure fast and reliable data exchange. Significance: Regularly collected and stable temperature data improves the credibility of the data, enabling the system to more accurately judge indoor temperature changes and avoid misoperation or misjudgment caused by short-term fluctuations; through the optimized data transmission process, the efficiency of real-time monitoring is ensured, high-quality human-computer interaction is established, and a solid data foundation is provided for subsequent control decisions. Step S103 performs weighted processing on the readings of each sensor, taking into account the sensor location, regional characteristics and environmental factors (such as sunlight, door and window locations, etc.), and sets a suitable weight coefficient for each sensor; finally, the temperature data of different sensors are weighted averaged to obtain a more accurate real-time indoor temperature value. Significance: Weighted average processing can overcome the deviation of a single sensor reading, provide a comprehensive evaluation of the entire indoor environment, and help obtain more real and reliable indoor temperature information; support more intelligent temperature control decisions, by reflecting the ambient temperature in real scenes, so that the heat pump system can more effectively adapt to the temperature requirements of different regions, which helps to optimize system performance and user comfort experience.

[0138] In summary, this embodiment provides a strict data collection, processing and analysis mechanism for the real-time monitoring system, ensuring that: through regionalized sensor layout, smooth data processing and weighted averaging, the reliability and accuracy of temperature data are significantly improved; it can provide flexible and accurate temperature feedback according to the needs of different indoor environments, facilitating the heat pump system to respond quickly to meet the user's comfort needs; regular collection and efficient data transmission mechanism ensure the need for real-time regulation, so that room temperature adjustment can be carried out quickly and effectively. It constitutes an efficient and accurate real-time monitoring system, ensuring that the heat pump wire controller can accurately understand the current indoor environment and make appropriate responses to improve user comfort and system energy efficiency.

[0139] Embodiment 12: Based on Embodiment 10, the process of adjusting the strategy provided in the embodiment of the present invention includes the following steps:

[0140] S201: receiving a real-time room temperature and a target room temperature, and calculating a difference between the real-time room temperature and the target room temperature;

[0141] S202: setting an upper threshold and a lower threshold of the adjustment strategy, wherein the upper threshold is set such that when the real-time room temperature reaches or exceeds the target room temperature (+1°C), the heat pump unit stops working, and the lower threshold is set such that when the real-time room temperature is lower than the target room temperature (-1°C), the heat pump unit starts and performs heating;

[0142] S203: judging the relationship between the real-time room temperature and the target room temperature according to the difference; if the real-time room temperature ≥ the target room temperature, the heat pump unit stops running; if the real-time room temperature < the target room temperature, the operating frequency of the heat pump unit is adjusted according to the real-time water inlet temperature, the real-time water outlet temperature and the ambient temperature;

[0143] The target value calculation expression of the operating frequency is:

[0144] text 运行频率 (f) = k1·text 差值 + k2 (real-time water inlet temperature - real-time water outlet temperature) + k3 (ambient temperature - real-time water outlet temperature);

[0145] Where k1, k2 and k3 represent the experience adjustment coefficients.

[0146] The working principle and beneficial effects of the above technical solution are as follows: the present embodiment first receives the real-time room temperature and the target room temperature, and calculates the difference between the real-time room temperature and the target room temperature; secondly, sets the upper and lower thresholds of the adjustment strategy, the upper threshold is set to when the real-time room temperature reaches or exceeds the target room temperature (+1°C), the heat pump unit stops working, the lower threshold is set to when the real-time room temperature is lower than the target room temperature (-1°C), the heat pump unit starts and heats; finally, the relationship between the real-time room temperature and the target room temperature is judged according to the difference; if the real-time room temperature ≥ the target room temperature, the heat pump unit stops running; if the real-time room temperature < the target room temperature, the real-time water inlet temperature, the real-time water outlet temperature and the ambient temperature are applied to adjust the operating frequency of the heat pump unit. Step S201 of the above solution obtains the current indoor temperature (real-time room temperature) and the desired temperature (target room temperature) set by the user in real time, and calculates the difference between the two through simple arithmetic operations. Significance: By calculating the difference between the real-time room temperature and the target room temperature, the system can quickly determine whether the current environment has reached the user's expected comfort level, which is helpful for the system's automatic control and response; the acquisition of the difference provides an important basis for adjusting the operating state of the heat pump unit, thereby ensuring the precise control of the indoor temperature and improving the user's comfort. Step S202 defines the upper and lower temperature thresholds according to the standards set by the user. The upper threshold ensures that the heat pump stops working when it reaches or exceeds the target temperature to prevent overheating; the lower threshold ensures that the heat pump starts in time when the room temperature is lower than the target range to heat the indoor environment. Significance: Setting the threshold increases the flexibility and adaptability of the control, so that the heat pump system can automatically adapt to different environmental changes, maintain the indoor temperature within an acceptable range, reduce manual operations, and improve user convenience; the setting of the upper and lower thresholds not only helps to improve the user's living experience, but also effectively prevents energy waste and improves the system's operating efficiency and economy. Step S203 determines the current temperature state according to the real-time temperature difference and selects the corresponding operation strategy. If the real-time room temperature is greater than or equal to the target room temperature, the heat pump will stop; if it is less than the target temperature, the system will adjust the operating frequency according to the actual inlet water temperature, outlet water temperature and ambient temperature. Significance: The control strategy based on real-time feedback improves the response speed and accuracy of the system, ensuring that the equipment accurately reflects the user's temperature control needs, so that heating is quickly stopped when a comfortable room temperature is reached to avoid energy waste; by accurately adjusting the operating frequency of the heat pump when needed, the system can further refine the temperature control to ensure that the indoor temperature is stable and comfortable even when the external environment changes.

[0147] In summary, this embodiment converts real-time temperature data into corresponding system operation instructions, and realizes: through real-time monitoring and threshold setting, the system can achieve a high degree of automatic control, reduce the user operation frequency, and enhance the intelligence level of the system; difference calculation and corresponding operation strategy ensure accurate control of indoor temperature and improve the user's comfort experience; the setting of upper and lower thresholds and the adjustment of operation frequency according to environmental data ensure that the heat pump starts and stops efficiently at the necessary time, maximizes energy utilization efficiency, and reduces operating costs. It ensures that the heat pump system has good adaptability and efficiency, so that users can enjoy an ideal living environment.

[0148] 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 the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims

1. A heat pump wire controller for controlling room temperature, characterized in that: Include: The data acquisition component is installed indoors to monitor the indoor temperature in real time and feed the indoor temperature back to the control component; The equipment adjustment component is responsible for receiving the real-time temperature, comparing the real-time temperature with the target temperature to obtain the difference, and according to the adjustment strategy, allowing the heat pump unit to confirm the operating frequency according to the difference; The wireless communication component is responsible for wireless communication with the intelligent terminal through the wireless network to achieve remote monitoring and control, access status and settings.

2. The heat pump wire controller for controlling room temperature according to claim 1, characterized in that: The data acquisition component includes: the equipment layout module, which is responsible for dividing the indoor space into several areas and setting different types of temperature sensors according to the different functional areas of the living room, bedroom and kitchen; in each area, the temperature sensors are installed horizontally at different heights to capture the temperature differences at different heights.

3. The heat pump wire controller for controlling room temperature according to claim 1, characterized in that: The data acquisition component includes: the equipment operation module, which is responsible for collecting the current temperature data of each temperature sensor at a fixed time interval and smoothing the temperature data; after the smoothing is completed, the temperature data is transmitted to the control component via wired or wireless means.

4. The heat pump wire controller for controlling room temperature according to claim 1, characterized in that: The data acquisition component includes: a weighted processing module, which is responsible for weighting the readings of each temperature sensor based on the location of the temperature sensor and environmental factors, setting the weight coefficient, and weighted averaging the data of all temperature sensors to obtain the final real-time indoor temperature.

5. The heat pump wire controller for controlling room temperature according to claim 1, characterized in that: Equipment adjustment kit, including: The difference calculation module is responsible for receiving the real-time room temperature and the target room temperature, and calculating the difference between the real-time room temperature and the target room temperature; The threshold setting module is responsible for setting the upper and lower thresholds of the adjustment strategy. The upper threshold is set to stop the heat pump unit when the real-time room temperature reaches or exceeds the target room temperature, and the lower threshold is set to start the heat pump unit and heat when the real-time room temperature is lower than the target room temperature; The relationship judgment module is responsible for judging the relationship between the real-time room temperature and the target room temperature based on the difference; if the real-time room temperature ≥ the target room temperature, the heat pump unit stops running; if the real-time room temperature < the target room temperature, the real-time inlet water temperature, the real-time outlet water temperature and the ambient temperature are used to adjust the operating frequency of the heat pump unit.

6. The heat pump wire controller for controlling room temperature according to claim 5, characterized in that: Threshold setting module, including: The initial threshold setting submodule is responsible for setting the initial upper and lower thresholds according to the room temperature and target temperature of the same period in history, and associating the upper and lower thresholds with the adjustment strategy; the difference between the real-time room temperature and the target room temperature is determined according to the initial upper and lower thresholds to confirm whether the heat pump unit needs to be started; The threshold adjustment setting submodule is responsible for setting the initial upper threshold and the lower threshold of the dynamic adjustment threshold. The dynamic adjustment threshold includes the start-up frequency of the heat pump unit. When the dynamic adjustment threshold is reached, the start-up interval of the heat pump unit becomes shorter. The threshold range adjustment submodule is responsible for receiving the outdoor ambient temperature and comparing it with the historical outdoor ambient temperature, evaluating the similarity between the current ambient conditions and the historical ambient conditions to determine the adjustment range of the target temperature; adjusting the dynamic adjustment threshold based on the similarity and the adjustment range of the target temperature, and using a fuzzy logic controller to determine the adjustment range of the initial upper and lower thresholds according to the dynamic adjustment threshold.

7. The heat pump wire controller for controlling room temperature according to claim 6, characterized in that: The threshold range adjustment submodule includes: The fuzzy set making unit is responsible for processing the similarity using the fuzzy logic controller, mapping it to the corresponding dynamically adjusted threshold, and dividing the similarity interval into fuzzy sets including high similarity, medium similarity and low similarity; The fuzzy rule processing unit is responsible for setting the fuzzy rules. If the similarity is high, the dynamic adjustment threshold is increased; if the similarity is low, the dynamic adjustment threshold is reduced. According to the output of the fuzzy rules, a specific dynamic threshold is generated accordingly; the specific increase and decrease standards are pre-set; The threshold adjustment execution unit is responsible for adjusting the initial upper threshold and lower threshold according to the calculated dynamic adjustment threshold. The initial upper threshold is increased by the dynamic adjustment threshold, and the initial lower threshold is subtracted from the dynamic adjustment threshold to obtain the adjusted upper threshold and lower threshold.

8. The heat pump wire controller for controlling room temperature according to claim 5, characterized in that: Relationship judgment module, including: The positive and negative judgment submodule is responsible for judging the positive and negative of the difference. When the difference is positive or zero, the real-time room temperature ≥ the target room temperature. When the difference is negative, the real-time room temperature < the target room temperature. The strategy adjustment submodule is responsible for triggering the operation mode of the heat pump unit according to the difference result. When the difference is positive or zero, the heat pump unit stops running; when the difference is negative, the real-time inlet water temperature, real-time outlet water temperature and ambient temperature are obtained, and the operation frequency of the heat pump unit is adjusted according to the preset strategy; The frequency monitoring submodule is responsible for monitoring the operating frequency. When the difference is positive or zero, the heat pump unit stops running.

9. The heat pump wire controller for controlling room temperature according to claim 1, characterized in that: The heat pump wire controller for controlling the room temperature also includes: The display component is responsible for displaying the current room temperature, target room temperature, inlet and outlet water temperatures, and ambient temperature information; the target temperature can be adjusted through the interactive interface; The power supply component is responsible for providing a stable power supply for the heat pump wire controller. At the same time, a status detection module is set to monitor the temperature, voltage and current of the power supply. When the corresponding threshold is exceeded, a fault alarm is issued. The storage component is responsible for storing the set target temperature, historical temperature data and operating time information.

10. A method for controlling a heat pump wire controller for controlling room temperature, characterized in that: The following steps are involved: Monitor the indoor temperature in real time and feed back the indoor temperature to the control components; Receive the real-time temperature, compare the real-time temperature with the target temperature to obtain the difference, and according to the adjustment strategy, let the heat pump unit confirm the operating frequency according to the difference; Wireless communication with intelligent terminals through wireless networks enables remote monitoring and control, access status and settings.

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