Temperature and humidity optimization control method and device based on sensor adaptive calibration

Abstract

The invention provides a temperature and humidity optimization control method and device based on sensor adaptive calibration. The method comprises the steps that reading sets corresponding to all temperature and humidity sensors in an air conditioning system are obtained in real time; a to-be-calibrated reading in the reading set is determined through a preset calibration strategy, and the temperature and humidity sensor corresponding to the to-be-calibrated reading is calibrated; judging whether the temperature and humidity of the current environment of the target area indicated by the calibrated reading set are within a preset temperature and humidity allowable deviation range or not; if yes, the preset temperature and humidity are in a change following state, and variable reset of the proportional-integral-differential controller is triggered; if not, a corresponding temperature and humidity adjusting strategy is executed according to the deviation between the actual temperature and humidity and the preset temperature and humidity. The air conditioning system can accurately sense the environment temperature and humidity change, accurate calibration and effective adjustment are achieved, and a stable and appropriate temperature and humidity environment is provided for a target area.

Description

Technical Field

[0001] The invention belongs to the technical field of central air-conditioning automatic control, and in particular relates to a temperature and humidity optimization control method and device based on sensor adaptive calibration. Background Art

[0002] The current temperature and humidity control method of the air-conditioning system is mainly based on preset fixed temperature and humidity values, and the environmental data is monitored by temperature and humidity sensors. When the actual temperature and humidity deviate from the preset values, the controller is used to adjust the cooling, heating, dehumidification or humidification functions of the air-conditioning system to make corrections. However, in the research and practice of this prior art, the inventor of this application found that the preset fixed temperature and humidity values ​​in the air-conditioning system cannot flexibly adapt to environmental changes and user demand changes, and cannot be dynamically adjusted according to different time periods and different scenes. In addition, the sensor is susceptible to environmental interference and its own aging. Once a deviation occurs, it is difficult to detect and correct it in time, and it is impossible to ensure that the air-conditioning system accurately perceives changes in environmental temperature and humidity, resulting in unsatisfactory temperature and humidity regulation of the air-conditioning system.

[0003] Based on this, how to solve the above-mentioned technical problems in the existing technology, ensure that the air-conditioning system accurately senses changes in ambient temperature and humidity, and achieves precise calibration and effective adjustment has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] In view of this, the present application provides a temperature and humidity optimization control method, device and medium based on sensor adaptive calibration, which can ensure that the air-conditioning system accurately perceives changes in ambient temperature and humidity, achieves precise calibration and effective adjustment, and provides a stable and suitable temperature and humidity environment for the target area.

[0005] In a first aspect, the present application provides a temperature and humidity optimization control method based on sensor adaptive calibration, the method comprising at least the following steps: Obtain the readings corresponding to all temperature and humidity sensors in the air conditioning system in real time; Determine the readings to be calibrated in the reading set by a preset calibration strategy, and calibrate the temperature and humidity sensors corresponding to the readings to be calibrated; wherein the calibration strategy includes at least two of a multi-sensor cross-validation method, a correlation analysis method of different sensor measurement parameters, and a historical reading analysis method; Determine whether the temperature and humidity of the current environment of the target area indicated by the calibrated reading set is within the preset temperature and humidity allowable deviation range; if so, the preset temperature and humidity are in a change following state, and trigger the proportional-integral-differential controller variable reset; if not, execute the corresponding temperature and humidity adjustment strategy according to the deviation between the actual temperature and humidity and the preset temperature and humidity.

[0006] In a possible implementation, executing a corresponding temperature and humidity adjustment strategy according to a deviation between the actual temperature and humidity and the preset temperature and humidity includes: When the actual temperature and / or humidity is higher than the upper limit of the allowable deviation, the preset temperature and / or humidity is set as the upper limit value, and a cooling operation and / or a dehumidification operation is performed; When the actual temperature and / or humidity is lower than the allowable deviation lower limit, the preset temperature and / or humidity is set as the lower limit value, and the heating operation and / or the humidification operation is performed.

[0007] In a possible implementation, determining the to-be-calibrated readings in the reading set by using a preset calibration strategy includes: A multi-sensor cross-validation method is adopted. If it is determined that the reading difference between a certain temperature and humidity sensor and other temperature and humidity sensors continuously exceeds the set threshold, it is judged as a single sensor deviation, and the reading of the temperature and humidity sensor is determined to be the reading to be calibrated; if it is determined that the readings of all temperature and humidity sensors are higher or lower than the expected theoretical value, it is judged as an overall deviation, and it is determined that the actual operation of the air-conditioning system has changed.

[0008] In a possible implementation, determining the to-be-calibrated readings in the reading set by using a preset calibration strategy includes: By using the correlation analysis method of different sensor measurement parameters, according to the changes in the inlet and outlet water temperatures of the air-conditioning system and the heat transfer relationship, it is calculated whether the input and output heat of the refrigerant, coolant, air or water are deviated, thereby determining whether the readings of the temperature and humidity sensors are deviated.

[0009] In a possible implementation, determining the to-be-calibrated readings in the reading set by using a preset calibration strategy includes: A historical reading analysis method is used to determine whether the temperature and humidity of the current environment of the target area indicated by the reading set is greater than the alarm threshold. If so, it is determined whether the readings of the temperature and humidity sensors are deviated; wherein the alarm threshold is in a change following state and is set according to a preset temperature and humidity setting to indicate that the current reading exceeds the normal range of the current environment.

[0010] In a possible implementation manner, calibrating the temperature and humidity sensor corresponding to the reading to be calibrated includes: The temperature and humidity sensor corresponding to the reading to be calibrated is calibrated through a preset calibration model; wherein the calibration model is one or more of a linear regression model, a Kalman filter model, and a multi-layer perceptron model.

[0011] In a second aspect, the present application provides a temperature and humidity optimization control device based on sensor adaptive calibration, the device comprising at least: The acquisition module is used to obtain the reading sets corresponding to all temperature and humidity sensors in the air-conditioning system in real time; A calibration module, used to determine the readings to be calibrated in the reading set through a preset calibration strategy, and calibrate the temperature and humidity sensors corresponding to the readings to be calibrated; wherein the calibration strategy includes at least two of a multi-sensor cross-validation method, a correlation analysis method of measurement parameters of different sensors, and a historical reading analysis method; The control module is used to determine whether the temperature and humidity of the current environment of the target area indicated by the calibrated reading set are within the preset temperature and humidity allowable deviation range; if so, the preset temperature and humidity are in a change following state and trigger the proportional-integral-differential controller variable reset; if not, the corresponding temperature and humidity adjustment strategy is executed according to the deviation between the actual temperature and humidity and the preset temperature and humidity.

[0012] In one possible embodiment, the control module is used to set the preset temperature and / or humidity as the upper limit value and perform a cooling operation and / or a dehumidification operation when the actual temperature and / or humidity is higher than the upper limit of the allowable deviation; when the actual temperature and / or humidity is lower than the lower limit of the allowable deviation, set the preset temperature and / or humidity as the lower limit value and perform a heating operation and / or a humidification operation.

[0013] In one possible implementation, the calibration module is used to adopt a multi-sensor cross-validation method. If it is determined that the reading difference between a certain temperature and humidity sensor and other temperature and humidity sensors continuously exceeds a set threshold, it is determined to be a single sensor deviation, and the reading of the temperature and humidity sensor is determined to be the reading to be calibrated; if it is determined that the readings of all temperature and humidity sensors are higher or lower than the expected theoretical value, it is determined to be an overall deviation, and it is determined that the actual operation of the air-conditioning system has changed.

[0014] In one possible implementation, the calibration module is used to adopt a correlation analysis method of different sensor measurement parameters to calculate whether the input heat and output heat of the refrigerant, coolant, air or water are deviated according to the changes in the inlet and outlet water temperatures of the air-conditioning system and the heat transfer relationship, thereby determining whether the readings of the temperature and humidity sensor are deviated.

[0015] In one possible implementation, the calibration module is used to use a historical reading analysis method to determine whether the temperature and humidity of the current environment of the target area indicated by the reading set is greater than an alarm threshold, and if so, to determine whether the readings of the temperature and humidity sensor are deviated; wherein the alarm threshold is in a change following state and is set according to a preset temperature and humidity to indicate that the current reading exceeds a normal range of the current environment.

[0016] In a possible implementation, the calibration module is used to calibrate the temperature and humidity sensor corresponding to the reading to be calibrated through a preset calibration model; wherein the calibration model is one or more of a linear regression model, a Kalman filter model, and a multi-layer perceptron model.

[0017] In the third aspect, the present application provides a terminal, which includes a touch screen, a memory, a transceiver, one or more processors, multiple applications, and one or more programs; wherein the one or more programs are stored in the memory, and the transceiver is used to transmit or receive wireless signals; when the one or more processors execute the one or more programs, the terminal implements the temperature and humidity optimization control method based on sensor adaptive calibration as mentioned above.

[0018] In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions, and when the program instructions are executed by a processor of an electronic device, the processor executes the temperature and humidity optimization control method based on sensor adaptive calibration as described above.

[0019] In the temperature and humidity optimization control scheme based on sensor adaptive calibration provided in the embodiment of the present application, by acquiring the reading sets of all temperature and humidity sensors in the air-conditioning system in real time, the temperature and humidity conditions of the entire air-conditioning system are fully grasped, avoiding the limitations of single sensor data. Through the preset calibration strategy, the multi-sensor cross-validation, the correlation analysis of different sensor measurement parameters and the historical reading analysis are comprehensively used. At least two methods can be used to accurately determine the readings to be calibrated and calibrate, thereby improving the accuracy and reliability of the temperature and humidity sensor. It is determined whether the temperature and humidity of the target area indicated by the calibrated reading set are within the preset allowable deviation range. If within the range, the preset temperature and humidity are set to the change following state and the proportional-integral-differential controller variable is reset, so that the system can dynamically adjust the temperature and humidity settings according to environmental changes, and respond quickly and maintain stability at the same time, thereby improving the adaptability and control accuracy of the air-conditioning system. If it is not within the range, the corresponding temperature and humidity adjustment strategy is executed according to the deviation between the actual and preset temperature and humidity, ensuring that the system can adjust the temperature and humidity in a timely and effective manner, and provide a stable and suitable environment for the target area.

[0020] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0022] Figure 1 It is a flow chart of a temperature and humidity optimization control method based on sensor adaptive calibration provided in one embodiment of the present application; Figure 2 It is a structural schematic diagram of a temperature and humidity optimization control device based on sensor adaptive calibration provided in one embodiment of the present application; Figure 3 A schematic diagram of the hardware structure of a temperature and humidity optimization control device based on sensor adaptive calibration provided in one embodiment of the present application. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Where there are descriptions involving “first”, “second”, etc. in the specification and claims of this application and the above-mentioned drawings, the descriptions of “first”, “second”, etc. are only used for descriptive purposes to distinguish different objects, rather than for describing a specific order, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features.

[0025] The terms "including" and "having" and any variations thereof as used herein are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units or modules is not limited to the listed steps or units or modules, but may optionally include steps or units or modules not listed, or may optionally include other steps or units or modules inherent to these processes, methods, products or devices.

[0026] For "and / or" or "and / or" appearing in the text, its meaning includes three parallel solutions. Taking "A and / or B" as an example, it includes Solution A, or Solution B, or a solution in which both A and B are satisfied.

[0027] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0028] First, see Figure 1 , Figure 1 It is a flow chart of a temperature and humidity optimization control method based on sensor adaptive calibration provided in one embodiment of the present application.

[0029] S100, obtaining a reading set corresponding to all temperature and humidity sensors in the air-conditioning system in real time.

[0030] In this embodiment, the temperature and humidity sensors are distributed in various key areas covered by the air-conditioning system, including different locations of the building, vents, return air vents, etc., as well as the main unit, ducts, etc. of the air-conditioning system. According to the scale and application scenario of the air-conditioning system, determine the appropriate data collection frequency, such as once per second to once per minute. For example, for a laboratory environment that is sensitive to changes in temperature and humidity, a higher collection frequency can be selected, such as once per second; and for ordinary office spaces, once per minute. The temperature and humidity readings obtained in real time need to be processed and stored in a timely manner for subsequent analysis and use. Data processing can include operations such as data cleaning, denoising, and outlier detection to ensure the accuracy and reliability of the data. For example, readings that are significantly deviated from the normal range can be marked and further checked to determine whether they are caused by a temperature and humidity sensor failure or other abnormal conditions.

[0031] S200, determining the readings to be calibrated in the reading set by a preset calibration strategy, and calibrating the temperature and humidity sensors corresponding to the readings to be calibrated.

[0032] The calibration strategy includes at least two of a multi-sensor cross-validation method, a correlation analysis method of different sensor measurement parameters, and a historical reading analysis method.

[0033] It is understandable that multiple temperature and humidity sensors already in the air conditioning system can be used for cross-validation, and the accuracy of the temperature and humidity sensors can be determined by comparing the readings of different temperature and humidity sensors. For example, in a central air conditioning refrigeration station system, multiple temperature sensors on the chiller and pipeline can be cross-validated.

[0034] In a possible implementation, the determining of the readings to be calibrated in the reading set by a preset calibration strategy includes: using a multi-sensor cross-validation method, if it is determined that the reading difference between a certain temperature and humidity sensor and other temperature and humidity sensors continuously exceeds a set threshold, it is determined to be a single sensor deviation, and the reading of the temperature and humidity sensor is determined to be the reading to be calibrated; if it is determined that the readings of all temperature and humidity sensors are higher or lower than the expected theoretical value, it is determined to be an overall deviation, and it is determined that the actual operation of the air-conditioning system has changed.

[0035] Specifically, if the difference between the readings of a certain sensor and most of the other sensors continues to exceed the threshold, then the sensor may have an accuracy problem. For example, if three pipe temperature sensors have similar readings, all around 20°C, while another pipe temperature sensor has always read 25°C, and the difference exceeds the set threshold, then the sensor may be inaccurate. In addition to judging the deviation of a single sensor, it is also necessary to consider whether all sensors have deviations. If the readings of all sensors are higher or lower than the expected theoretical values, and the difference is close, then it may be that the actual operation of the air conditioning system has changed (such as an abnormal increase or decrease in refrigerant flow), rather than a sensor problem. At this time, it is necessary to further check other components of the air conditioning system.

[0036] In a possible implementation, the determination of the readings to be calibrated in the reading set by a preset calibration strategy includes: using a correlation analysis method for measuring parameters of different sensors, calculating whether the input heat and output heat of the refrigerant, coolant, air or water are deviated according to the changes in the inlet and outlet water temperatures of the air-conditioning system and the heat transfer relationship, thereby determining whether the readings of the temperature and humidity sensor are deviated.

[0037] In this embodiment, the accuracy of the sensor is determined by analyzing the relevant parameters measured by different sensors and using physical laws (such as energy conservation). For example, by analyzing the relationship between the change in the inlet and outlet water temperature and the heat transfer, it is determined whether the sensor reading is reasonable. In particular, the direction of heat transfer: heat is always transferred from high temperature to low temperature.

[0038] For example, if one medium enters at 40°C and leaves at 30°C after heat exchange, then the other medium enters at 30°C and leaves at a temperature between 28°C and 38°C after heat exchange. According to the law of conservation of energy, the heat input is equal to the heat output. Assume that the mass and specific heat capacity of the two media are and , and , and their temperature changes are and , then:

[0039] Due to the conservation of energy, heat Should be equal to the heat If the calculated and If they are not equal, there may be an error in the reading of a sensor.

[0040] In a possible implementation, the determination of the readings to be calibrated in the reading set by a preset calibration strategy includes: using a historical reading analysis method to determine whether the temperature and humidity of the current environment of the target area indicated by the reading set are greater than an alarm threshold, and if so, determining whether the readings of the temperature and humidity sensors are deviated; wherein the alarm threshold is in a change following state, and is set according to preset temperature and humidity to indicate that the current reading exceeds the normal range of the current environment.

[0041] For example, if the outdoor temperature sensor displays a temperature that is significantly outside the normal range (such as 60°C in Shenzhen summer), it is considered that the sensor may be faulty.

[0042] In a possible implementation manner, calibrating the temperature and humidity sensor corresponding to the reading to be calibrated includes: The temperature and humidity sensor corresponding to the reading to be calibrated is calibrated through a preset calibration model; wherein the calibration model is one or more of a linear regression model, a Kalman filter model, and a multi-layer perceptron model.

[0043] Among them, for temperature sensors, if their offset is a relatively stable linear offset, such as the temperature measurement value is always a fixed degree higher than the true value, or the deviation from the true value is a fixed proportion, the linear regression model can fit this relationship well. For example, in a temperature monitoring system of a cold storage, by regularly calibrating the temperature sensor with a high-precision thermometer, multiple sets of data are obtained, and linear regression is used to correct the sensor readings to improve the accuracy of temperature measurement.

[0044] In the real-time monitoring system of environmental temperature and humidity, the output of the temperature and humidity sensor may be affected by environmental interference and its own offset. Kalman filtering can dynamically correct the sensor offset based on the previous state estimation (such as the temperature and humidity estimation value at the last moment) and the current sensor measurement value. Especially when the sensor offset is dynamically changing, or there are other uncertain factors in the measurement process (such as performance degradation caused by sensor aging), Kalman filtering can effectively improve the measurement accuracy.

[0045] For complex sensors, their output may be interfered by many factors, resulting in complex nonlinear offsets. For example, in an air quality monitoring system, sensors used to detect harmful gas concentrations may produce nonlinear offsets due to other chemicals in the environment, temperature and humidity changes, etc. The multi-layer perceptron model can learn these complex relationships and effectively correct sensor offsets.

[0046] S300: Determine whether the temperature and humidity of the current environment of the target area indicated by the calibrated reading set is within a preset temperature and humidity allowable deviation range.

[0047] S310: If yes, the preset temperature and humidity are in a change following state, and trigger the proportional-integral-differential controller variable reset.

[0048] During the temperature and humidity control process, the preset temperature and humidity are set to a variable follow-up state, which means that the preset temperature and humidity values ​​are not fixed, but will change dynamically according to some external factors or changes in user needs. For example, the human comfort requirements may be different at different times of the day. During the day, people are more active and may need a relatively low temperature and suitable humidity to stay awake and comfortable, such as setting the temperature to 24°C and the humidity to 45%. At night, the human body's metabolism slows down and may need a slightly higher temperature, such as 26°C, and the humidity can be appropriately increased to 50%. This way of dynamically adjusting the preset temperature and humidity according to time changes is a variable follow-up state. Consider changes in outdoor climate. If the outdoor temperature is low, the indoor preset temperature can be appropriately lowered to reduce the heating load of the air conditioning system and reduce energy consumption. When the outdoor humidity is high, the indoor preset humidity can be lowered accordingly to enhance the dehumidification function. For example, in the humid rainy season, the indoor humidity preset value is reduced from the usual 50% to 40% to help keep the room dry. For crowded places, such as conference rooms and shopping malls, the heat and water vapor generated by human activities will have a greater impact on the indoor environment. When the conference room is full, the heat and moisture dissipation of the human body increase, and the preset temperature can be appropriately lowered, and the humidity preset value can also be appropriately lowered to maintain a comfortable indoor environment. Different users have different perceptions of comfort for temperature and humidity. Some users may prefer a slightly cooler and drier environment, while others prefer a warmer and humid environment. In the smart home system, the preset temperature and humidity can be dynamically changed according to the user's preferences based on the user's personalized settings. For example, users can set their own temperature and humidity comfort ranges in different scenarios (such as rest, work, exercise, etc.) through mobile phone applications, and the air conditioning system will dynamically adjust according to these settings. In some special places, such as museum cultural relics exhibition halls, drug storage warehouses, etc., the temperature and humidity requirements may change dynamically according to the characteristics of cultural relics or drugs. For paper cultural relics that are extremely sensitive to humidity, in different seasons or weather conditions, in order to prevent the cultural relics from getting damp or cracking, the temperature and humidity preset values ​​need to be flexibly adjusted according to environmental changes and cultural relics protection requirements. For example, in the dry winter, the humidity preset value of the exhibition hall should be appropriately increased, and in the humid summer, the humidity preset value should be reduced.

[0049] It is understandable that when the air conditioning system fails or has abnormal conditions, such as sensor failure, actuator failure, etc., which leads to abnormal input or output of the PID controller, in order to ensure the safety and stability of the air conditioning system, it is necessary to trigger the PID variable reset. This will stop the current control action of the PID controller, avoid further deterioration of the air conditioning system due to incorrect input or output, and also provide an initial state for troubleshooting and air conditioning system recovery.

[0050] S320: If not, executing a corresponding temperature and humidity adjustment strategy according to the deviation between the actual temperature and humidity and the preset temperature and humidity.

[0051] In a possible implementation, executing a corresponding temperature and humidity adjustment strategy according to a deviation between the actual temperature and humidity and the preset temperature and humidity includes: When the actual temperature and / or humidity is higher than the upper limit of the allowable deviation, the preset temperature and / or humidity is set as the upper limit value, and a cooling operation and / or a dehumidification operation is performed; When the actual temperature and / or humidity is lower than the allowable deviation lower limit, the preset temperature and / or humidity is set as the lower limit value, and the heating operation and / or the humidification operation is performed.

[0052] Cooling operation: If the actual temperature is higher than the set temperature, the cooling capacity needs to be increased. For traditional air conditioning systems, the indoor temperature can be lowered by lowering the chilled water supply temperature, increasing the fan frequency, etc.

[0053] Heating operation: If the actual temperature is lower than the set temperature, the cooling capacity can be reduced or the heating capacity can be increased. The indoor temperature can be increased by adjusting the opening of the hot water valve, increasing the hot water flow, increasing the heat exchange capacity of the heat exchanger, or starting the electric heating device. During the adjustment process, the hot water flow or electric heating power should be reasonably controlled according to the temperature deviation to avoid excessive temperature increase.

[0054] Dehumidification operation: When the actual humidity is higher than the set humidity, dehumidification operation is required. Common dehumidification methods include cooling dehumidification and adsorption dehumidification. Cooling dehumidification uses the principle that air will precipitate moisture when it is cooled below the dew point temperature. By lowering the air temperature, the moisture condenses into water droplets and is discharged, thereby reducing the humidity of the air. In this process, the cold temperature must be accurately controlled to ensure that the dehumidification effect can be achieved, while avoiding excessive cooling that causes the temperature to be too low.

[0055] Humidification operation: When the actual humidity is lower than the set humidity, humidification operation is required. Common humidification methods include steam humidification and spray humidification. Steam humidification is to heat water into steam and mix it into the air to increase the humidity of the air; spray humidification is to atomize water into tiny droplets and spray it into the air to increase the humidity of the air. During the humidification process, the humidification amount must be controlled to prevent the humidity from being too high.

[0056] In the above embodiment, the reading sets corresponding to all the temperature and humidity sensors in the air-conditioning system are obtained in real time; the readings to be calibrated in the reading set are determined by a preset calibration strategy, and the temperature and humidity sensors corresponding to the readings to be calibrated are calibrated; it is determined whether the temperature and humidity of the current environment of the target area indicated by the calibrated reading set are within the preset temperature and humidity allowable deviation range; if so, the preset temperature and humidity are in a change following state, and the proportional-integral-differential controller variable reset is triggered; if not, the corresponding temperature and humidity adjustment strategy is executed according to the deviation between the actual temperature and humidity and the preset temperature and humidity, so as to ensure that the air-conditioning system can accurately perceive the changes in environmental temperature and humidity, realize precise calibration and effective adjustment, and provide a stable and suitable temperature and humidity environment for the target area.

[0057] The method of the embodiment of the present application is described in detail above, and the device of the embodiment of the present application is provided below.

[0058] Second, see Figure 2 , Figure 2 It is a structural schematic diagram of a temperature and humidity optimization control device based on sensor adaptive calibration provided in one embodiment of the present application.

[0059] An acquisition module 100 is used to acquire the reading sets corresponding to all temperature and humidity sensors in the air-conditioning system in real time; A calibration module 200, for determining the readings to be calibrated in the reading set by a preset calibration strategy, and calibrating the temperature and humidity sensors corresponding to the readings to be calibrated; wherein the calibration strategy includes at least two of a multi-sensor cross-validation method, a correlation analysis method of different sensor measurement parameters, and a historical reading analysis method; The control module 300 is used to determine whether the temperature and humidity of the current environment of the target area indicated by the calibrated reading set are within the preset temperature and humidity allowable deviation range; if so, the preset temperature and humidity are in a change following state, and trigger the proportional-integral-differential controller variable reset; if not, the corresponding temperature and humidity adjustment strategy is executed according to the deviation between the actual temperature and humidity and the preset temperature and humidity.

[0060] In one possible implementation, the control module 300 is used to set the preset temperature and / or humidity as the upper limit value and perform a cooling operation and / or a dehumidification operation when the actual temperature and / or humidity is higher than the upper limit of the allowable deviation; and to set the preset temperature and / or humidity as the lower limit value and perform a heating operation and / or a humidification operation when the actual temperature and / or humidity is lower than the lower limit of the allowable deviation.

[0061] In one possible implementation, the calibration module 200 is used to adopt a multi-sensor cross-validation method. If it is determined that the reading difference between a certain temperature and humidity sensor and other temperature and humidity sensors continuously exceeds a set threshold, it is determined to be a single sensor deviation, and the reading of the temperature and humidity sensor is determined to be the reading to be calibrated; if it is determined that the readings of all temperature and humidity sensors are higher or lower than the expected theoretical value, it is determined to be an overall deviation, and it is determined that the actual operation of the air-conditioning system has changed.

[0062] In one possible implementation, the calibration module 200 is used to adopt a correlation analysis method of different sensor measurement parameters to calculate whether the input heat and output heat of the refrigerant, coolant, air or water are deviated according to the changes in the inlet and outlet water temperatures of the air-conditioning system and the heat transfer relationship, thereby determining whether the readings of the temperature and humidity sensor are deviated.

[0063] In one possible implementation, the calibration module 200 is used to use a historical reading analysis method to determine whether the temperature and humidity of the current environment of the target area indicated by the reading set is greater than an alarm threshold, and if so, to determine whether the readings of the temperature and humidity sensor are deviated; wherein the alarm threshold is in a change following state, and is set according to a preset temperature and humidity to indicate that the current reading exceeds the normal range of the current environment.

[0064] In a possible implementation, the calibration module 200 is used to calibrate the temperature and humidity sensor corresponding to the calibrated readings through a preset calibration model; wherein the calibration model is one or more of a linear regression model, a Kalman filter model, and a multi-layer perceptron model.

[0065] It should be noted that, in some embodiments, the functions or modules included in the device provided in the embodiments of the present application can be used to execute the method described in the above method embodiments. The specific implementation thereof can refer to the description of the above method embodiments. For the sake of brevity, it will not be repeated here.

[0066] Third, see Figure 3 , Figure 3 A schematic diagram of the hardware structure of a temperature and humidity optimization control device based on sensor adaptive calibration provided in one embodiment of the present application.

[0067] The device 2 includes a processor 21, a memory 24, an input device 22, and an output device 23. The processor 21, the memory 24, the input device 22, and the output device 23 are coupled via a connector, and the connector includes various interfaces, transmission lines, or buses, etc., which are not limited in the embodiments of the present application. It should be understood that in each embodiment of the present application, coupling refers to mutual connection in a specific manner, including direct connection or indirect connection through other devices, for example, through various interfaces, transmission lines, buses, etc.

[0068] The processor 21 may be one or more graphics processing units (GPUs). When the processor 21 is a GPU, the GPU may be a single-core GPU or a multi-core GPU. Optionally, the processor 21 may be a processor group consisting of multiple GPUs, and the multiple processors are coupled to each other via one or more buses. Optionally, the processor may also be other types of processors, etc., which are not limited in the embodiments of the present application.

[0069] The memory 24 can be used to store computer program instructions and various computer program codes including the program code for executing the program code of the present application. Optionally, the memory includes but is not limited to random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM), or portable read only memory (CD-ROM), which is used for related instructions and data.

[0070] The input device 22 is used to input data and / or signals, and the output device 23 is used to output data and / or signals. The output device 23 and the input device 22 may be independent devices or an integrated device.

[0071] It is understandable that in the embodiment of the present application, the memory 24 can not only be used to store related instructions, and the embodiment of the present application does not limit the specific data stored in the memory.

[0072] Understandably, Figure 3 Only a simplified design of a temperature and humidity optimization control device based on sensor adaptive calibration is shown. In practical applications, the device may also include other necessary components, including but not limited to any number of input / output devices, processors, memories, etc., and all devices that can implement the embodiments of the present application are within the scope of protection of the present application.

[0073] In a fourth aspect, the present application provides a terminal, which includes a touch screen, a memory, a transceiver, one or more processors, multiple applications, and one or more programs; wherein the one or more programs are stored in the memory, and the transceiver is used to transmit or receive wireless signals; when the one or more processors execute the one or more programs, the terminal implements the temperature and humidity optimization control method based on sensor adaptive calibration as described above.

[0074] In a fifth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions, and when the program instructions are executed by a processor of an electronic device, the processor executes the temperature and humidity optimization control method based on sensor adaptive calibration as described above.

[0075] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0076] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. Those skilled in the art can also clearly understand that the descriptions of the various embodiments of the present application have different focuses. For the convenience and brevity of description, the same or similar parts may not be repeated in different embodiments. Therefore, for parts not described or not described in detail in a certain embodiment, refer to the records of other embodiments.

[0077] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted via the computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital versatile disc (DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0078] A person skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by a computer program to instruct the relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned method embodiments. The aforementioned storage medium includes: a read-only memory (ROM) or a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

Claims

1. A temperature and humidity optimization control method based on sensor adaptive calibration, characterized in that: The method comprises at least the following steps: Obtain the readings corresponding to all temperature and humidity sensors in the air conditioning system in real time; Determine the readings to be calibrated in the reading set by a preset calibration strategy, and calibrate the temperature and humidity sensors corresponding to the readings to be calibrated; wherein the calibration strategy includes at least two of a multi-sensor cross-validation method, a correlation analysis method of different sensor measurement parameters, and a historical reading analysis method; Determine whether the temperature and humidity of the current environment of the target area indicated by the calibrated reading set is within the preset temperature and humidity allowable deviation range; if so, the preset temperature and humidity are in a change following state, and trigger the proportional-integral-differential controller variable reset; if not, execute the corresponding temperature and humidity adjustment strategy according to the deviation between the actual temperature and humidity and the preset temperature and humidity.

2. The temperature and humidity optimization control method based on sensor adaptive calibration according to claim 1 is characterized in that: The method of executing a corresponding temperature and humidity adjustment strategy according to the deviation between the actual temperature and humidity and the preset temperature and humidity includes: When the actual temperature and / or humidity is higher than the upper limit of the allowable deviation, the preset temperature and / or humidity is set as the upper limit value, and a cooling operation and / or a dehumidification operation is performed; When the actual temperature and / or humidity is lower than the allowable deviation lower limit, the preset temperature and / or humidity is set as the lower limit value, and the heating operation and / or the humidification operation is performed.

3. The temperature and humidity optimization control method based on sensor adaptive calibration according to claim 1 is characterized in that: Determining the to-be-calibrated readings in the reading set by a preset calibration strategy includes: A multi-sensor cross-validation method is adopted. If it is determined that the reading difference between a certain temperature and humidity sensor and other temperature and humidity sensors continuously exceeds the set threshold, it is judged as a single sensor deviation, and the reading of the temperature and humidity sensor is determined to be the reading to be calibrated; if it is determined that the readings of all temperature and humidity sensors are higher or lower than the expected theoretical values, it is judged as an overall deviation, and it is determined that the actual operation of the air-conditioning system has changed.

4. The temperature and humidity optimization control method based on sensor adaptive calibration according to claim 1 is characterized in that: Determining the to-be-calibrated readings in the reading set by a preset calibration strategy includes: By using the correlation analysis method of different sensor measurement parameters, according to the changes in the inlet and outlet water temperatures of the air-conditioning system and the heat transfer relationship, it is calculated whether the input and output heat of the refrigerant, coolant, air or water are deviated, thereby determining whether the readings of the temperature and humidity sensors are deviated.

5. The temperature and humidity optimization control method based on sensor adaptive calibration according to claim 1 is characterized in that: Determining the to-be-calibrated readings in the reading set by a preset calibration strategy includes: A historical reading analysis method is used to determine whether the temperature and humidity of the current environment of the target area indicated by the reading set is greater than the alarm threshold. If so, it is determined whether the readings of the temperature and humidity sensors are deviated; wherein the alarm threshold is in a change following state and is set according to a preset temperature and humidity setting to indicate that the current reading exceeds the normal range of the current environment.

6. The temperature and humidity optimization control method based on sensor adaptive calibration according to claim 1 is characterized in that: The step of calibrating the temperature and humidity sensor corresponding to the reading to be calibrated includes: The temperature and humidity sensor corresponding to the reading to be calibrated is calibrated through a preset calibration model; wherein the calibration model is one or more of a linear regression model, a Kalman filter model, and a multi-layer perceptron model.

7. A temperature and humidity optimization control device based on sensor adaptive calibration, characterized in that: The device at least comprises: The acquisition module is used to obtain the reading sets corresponding to all temperature and humidity sensors in the air-conditioning system in real time; A calibration module, used to determine the readings to be calibrated in the reading set through a preset calibration strategy, and calibrate the temperature and humidity sensors corresponding to the readings to be calibrated; wherein the calibration strategy includes at least two of a multi-sensor cross-validation method, a correlation analysis method of measurement parameters of different sensors, and a historical reading analysis method; The control module is used to determine whether the temperature and humidity of the current environment of the target area indicated by the calibrated reading set are within the preset temperature and humidity allowable deviation range; if so, the preset temperature and humidity are in a change following state and trigger the proportional-integral-differential controller variable reset; if not, the corresponding temperature and humidity adjustment strategy is executed according to the deviation between the actual temperature and humidity and the preset temperature and humidity.

8. The temperature and humidity optimization control device based on sensor adaptive calibration according to claim 7, characterized in that: The calibration module is used to adopt a multi-sensor cross-validation method. If it is determined that the reading difference between a certain temperature and humidity sensor and other temperature and humidity sensors continuously exceeds a set threshold, it is determined to be a single sensor deviation, and the reading of the temperature and humidity sensor is determined to be a reading to be calibrated; if it is determined that the readings of all temperature and humidity sensors are higher or lower than the expected theoretical value, it is determined to be an overall deviation, and it is determined that the actual operation of the air-conditioning system has changed.

9. The temperature and humidity optimization control device based on sensor adaptive calibration according to claim 7, characterized in that: The calibration module is used to adopt the correlation analysis method of different sensor measurement parameters, and calculate whether the input heat and output heat of the refrigerant, coolant, air or water are deviated according to the changes in the inlet and outlet water temperatures of the air-conditioning system and the heat transfer relationship, so as to determine whether the readings of the temperature and humidity sensor are deviated.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the temperature and humidity optimization control method based on sensor adaptive calibration as described in any one of claims 1 to 6.

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