Intelligent temperature control system, intelligent temperature self-adaptive adjusting method, equipment and medium

Abstract

The invention provides an intelligent temperature control system, an intelligent temperature self-adaptive adjusting method, equipment and a medium. The method comprises the following steps: determining a return air temperature adjusting factor according to a characteristic difference trend between a rising edge return air temperature difference characteristic and a falling edge return air temperature difference characteristic; feature time extraction is conducted on the rising edge return air temperature difference features and the falling edge return air temperature difference features, and multiple fresh air temperature rising times and fresh air temperature falling times are obtained; based on the compressor frequency peak value in the self-adaptive temperature adjusting mode, all the fresh air temperature rising time and fresh air temperature falling time are subjected to related judgment, and the return air temperature influence degree is obtained; frequency control parameters of a compressor in the intelligent temperature control system are corrected through the return air temperature adjusting factors; the return air quantity of the intelligent temperature control system is adjusted according to the return air temperature influence degree, when the outdoor fresh air temperature changes greatly, dynamic temperature self-adaptive adjustment can be conducted according to the indoor return air temperature characteristics when the frequency of the compressor changes, and the stability of the indoor temperature is improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent temperature regulation technology, and more specifically, to an intelligent temperature control system, an intelligent temperature adaptive regulation method, a device and a medium. Background Art

[0002] The fresh air fan is an effective air purification device that can circulate indoor air. On the one hand, it discharges the polluted indoor air to the outside, and on the other hand, it inputs the fresh outdoor air into the room after sterilization and other measures to keep the indoor air fresh. That is, through autonomous air supply and air intake, the indoor air can achieve convection, thereby maximizing the indoor air replacement, and in conjunction with the air-conditioning system, the indoor temperature can be regulated.

[0003] In the prior art, outdoor fresh air and indoor return air are often cross-flowed in a heat exchanger to achieve partial cooling and dehumidification of the fresh air in summer and partial heating in winter, thereby reducing the load of introducing fresh air into the room. This type of system has been recommended for use in ultra-low energy consumption buildings in various places. However, when the fresh air system introduces outside air, if the outside temperature changes greatly, it will make it difficult for the intelligent temperature control system to accurately adjust the indoor temperature, which can easily cause large fluctuations in the indoor temperature. Summary of the invention

[0004] The present application provides an intelligent temperature control system, an intelligent temperature adaptive adjustment method, a device and a medium, which can dynamically perform temperature adaptive adjustment according to the indoor return air temperature characteristics when the compressor frequency changes when the outdoor fresh air temperature changes greatly, thereby improving the stability of the indoor temperature.

[0005] In a first aspect, the present application provides an intelligent temperature adaptive adjustment method for use in an intelligent temperature control system to perform temperature adjustment. The method may be executed by a network device, or may be executed by a chip configured in the network device, and the present application does not limit this.

[0006] Specifically, the method comprises the following steps: Collecting the return air temperature, and when the volatility of the return air temperature is higher than a preset threshold, controlling the intelligent temperature control system to enter an adaptive temperature adjustment mode; In the adaptive temperature control mode, the compressor is controlled to enter the temperature control frequency, and the return air temperature difference characteristics at the rising edge are collected during the frequency rising period, and the return air temperature difference characteristics at the falling edge are collected during the frequency falling period; Determine the return air temperature adjustment factor according to the characteristic difference trend between the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; perform characteristic time extraction on the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge to obtain multiple return air temperature rising times and return air temperature falling times; Based on the compressor frequency peak value in the adaptive temperature control mode, a correlation determination is made on all return air temperature rise times and return air temperature drop times to obtain a return air temperature influence degree; The frequency control parameter of the compressor in the intelligent temperature control system is corrected by the return air temperature adjustment factor; the return air volume of the intelligent temperature control system is adjusted according to the return air temperature influence to complete the temperature adaptive adjustment.

[0007] In combination with the first aspect, in certain implementations of the first aspect, when the volatility of the return air temperature is higher than a preset threshold, controlling the intelligent temperature control system to enter the adaptive temperature adjustment mode specifically includes: Get the preset volatility comparison period; Record the return air temperature at the current moment according to the preset volatility comparison cycle, and compare it with the return air temperature recorded in the previous volatility comparison cycle; If it is determined that the fluctuation deviation between the return air temperature at the current moment and the return air temperature recorded in the previous fluctuation comparison period is higher than a preset threshold, the intelligent temperature control system is controlled to enter an adaptive temperature control mode.

[0008] In combination with the first aspect, in certain implementations of the first aspect, controlling the compressor to enter the temperature adjustment frequency in the adaptive temperature adjustment mode specifically includes: Obtaining a preset temperature adjustment cycle, wherein the temperature adjustment cycle includes a frequency increase cycle and a frequency decrease cycle; A preset compressor frequency operating range is obtained, and the compressor frequency is controlled to increase to an upper limit of the compressor frequency operating range during the frequency increase period, and the compressor frequency is controlled to decrease to a lower limit of the compressor frequency operating range during the frequency decrease period.

[0009] In combination with the first aspect, in certain implementations of the first aspect, acquiring the rising edge return air temperature difference characteristic in the frequency rising period specifically includes: In the frequency rising period, fresh air temperature data and return air temperature data are collected at equal intervals; The rising edge return air temperature difference characteristic is acquired according to the fresh air temperature data and the return air temperature data, wherein the rising edge return air temperature difference characteristic includes a plurality of rising edge return air temperature differences and corresponding characteristic moments.

[0010] In combination with the first aspect, in certain implementations of the first aspect, determining the return air temperature adjustment factor according to the characteristic difference trend between the rising edge return air temperature difference characteristic and the falling edge return air temperature difference characteristic specifically includes: Acquire the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; Normalizing the rising edge return air temperature difference characteristic and the falling edge return air temperature difference characteristic, and performing reverse end alignment difference to obtain a plurality of return air temperature difference trend values; The return air temperature differential trend is interpolated and fitted according to the time series to obtain the return air temperature differential trend, the return air temperature differential trend is modally decomposed, and the return air temperature adjustment factor is determined according to the return air temperature eigenmode function obtained by the decomposition.

[0011] In combination with the first aspect, in certain implementations of the first aspect, feature time extraction is performed on the rising edge return air temperature difference feature and the falling edge return air temperature difference feature to obtain multiple return air temperature rise times and return air temperature drop times, specifically including: Obtain characteristic moments corresponding to the respective rising edge return air temperature differences in the rising edge return air temperature difference characteristics; Determine the compressor rising frequency value corresponding to each characteristic moment; Perform forward differentiation on the return air temperature difference at each rising edge to obtain multiple return air temperature difference rising values; For any return air temperature difference rise value, the return air temperature difference rise value is scaled based on the corresponding compressor rise frequency value at its characteristic moment to obtain the rising edge frequency influence feature, and all rising edge frequency influence features are determined in the same way; The characteristic moments corresponding to all rising edge frequency influence characteristics above the frequency influence threshold are taken as the return air temperature rising time; Determine the compressor drop frequency value corresponding to each characteristic moment; Perform forward differentiation on the return air temperature difference at each falling edge to obtain multiple return air temperature difference falling values; For any return air temperature difference drop value, the return air temperature difference drop value is scaled based on the corresponding compressor drop frequency value at its characteristic moment to obtain the drop edge frequency influence feature, and all drop edge frequency influence features are determined in the same way; The characteristic moments corresponding to all falling edge frequency influence characteristics that are higher than the frequency influence threshold are taken as the return air temperature drop time.

[0012] In combination with the first aspect, in certain implementations of the first aspect, the return air temperature is collected by a temperature sensor in the intelligent temperature control system.

[0013] In a second aspect, the present application provides an intelligent temperature control system, which includes an adaptive temperature adjustment unit, wherein the adaptive temperature adjustment unit includes: A data acquisition module, used for collecting return air temperature, and when the volatility of the return air temperature is higher than a preset threshold, controlling the intelligent temperature control system to enter an adaptive temperature adjustment mode; A data processing module, used for controlling the compressor to enter the temperature adjustment frequency in the adaptive temperature adjustment mode, and collecting the return air temperature difference characteristics at the rising edge in the frequency rising period, and collecting the return air temperature difference characteristics at the falling edge in the frequency falling period; The data processing module is further used to determine the return air temperature adjustment factor according to the characteristic difference trend between the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; perform characteristic time extraction on the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge to obtain multiple return air temperature rising times and return air temperature falling times; The data processing module is further used to make a correlation determination on all return air temperature rise times and return air temperature drop times based on the compressor frequency peak value in the adaptive temperature adjustment mode to obtain the return air temperature influence degree; The temperature adjustment module is used to correct the frequency control parameter of the compressor in the intelligent temperature control system through the return air temperature adjustment factor; adjust the return air volume of the intelligent temperature control system according to the return air temperature influence, and complete temperature adaptive adjustment.

[0014] In a third aspect, the present application provides a computer terminal device, which includes a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned intelligent temperature adaptive adjustment method.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores at least one computer program, and the computer program is loaded and executed by a processor to implement the operations performed by the above-mentioned intelligent temperature adaptive adjustment method.

[0016] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In an intelligent temperature control system, intelligent temperature adaptive adjustment method, device and medium provided by the present application, first, by collecting the return air temperature, when the volatility of the return air temperature is higher than a preset threshold, the intelligent temperature control system is controlled to enter the adaptive temperature adjustment mode; in the adaptive temperature adjustment mode, the compressor is controlled to enter the temperature adjustment frequency, and the rising edge return air temperature difference characteristics are collected in the frequency rising period, and the falling edge return air temperature difference characteristics are collected in the frequency falling period; the return air temperature adjustment factor is determined according to the characteristic difference trend between the rising edge return air temperature difference characteristics and the falling edge return air temperature difference characteristics; the characteristic time is extracted for the rising edge return air temperature difference characteristics and the falling edge return air temperature difference characteristics to obtain multiple fresh air temperature rise times and fresh air temperature drop times; based on the compressor frequency peak value in the adaptive temperature adjustment mode, the correlation judgment is made on all the fresh air temperature rise times and the fresh air temperature drop times to obtain the return air temperature influence; the frequency control parameters of the compressor in the intelligent temperature control system are corrected by the return air temperature adjustment factor; the return air volume of the intelligent temperature control system is adjusted according to the return air temperature influence to complete the temperature adaptive control.

[0017] It can be seen that the present application can enter the adaptive temperature control mode when the outdoor fresh air temperature fluctuates violently, and deal with its impact on the indoor temperature. The influence characteristics of the frequency change on the temperature are analyzed through the rising edge and the falling edge return air temperature difference characteristics, and the return air temperature adjustment factor is determined. The return air temperature adjustment factor reflects the degree of influence of the frequency change on the return air temperature. The control parameters of the compressor frequency can be corrected through this factor, so that the system can be adaptively adjusted under different loads and ambient temperatures; this adaptive adjustment method can adjust the compressor frequency in real time when the outdoor fresh air temperature suddenly changes, balance the return air temperature change, and thus reduce the impact of the external temperature fluctuation on the indoor temperature; the return air temperature influence is determined by correlation judgment, and the overall influence of the compressor frequency on the return air temperature change is quantified. When the fresh air temperature changes greatly, it helps the system to dynamically select appropriate frequency and air volume adjustment strategies, thereby improving the stability of temperature control, and when the outdoor temperature changes greatly, reasonably adjusting the opening of the return air valve (i.e., adjusting the return air volume) can effectively balance the mixed temperature of the fresh air and the return air, and can further eliminate the impact of the fresh air temperature fluctuation, and avoid its direct transmission to the indoor environment, thereby ensuring the stability and stability of the indoor temperature.

[0018] In summary, the present application can perform dynamic temperature adaptive adjustment according to the indoor return air temperature characteristics when the compressor frequency changes when the outdoor fresh air temperature changes greatly, thereby improving the stability of the indoor temperature. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is an exemplary flow chart of an intelligent temperature adaptive adjustment method according to some embodiments of the present application; Figure 2is an exemplary flow chart for determining the return air temperature difference characteristics at the rising edge in some embodiments of the present application; Figure 3 is a schematic diagram of the structure of an adaptive temperature adjustment unit according to some embodiments of the present application; Figure 4 It is a structural schematic diagram of a computer terminal device for implementing an intelligent temperature adaptive adjustment method according to some embodiments of the present application. DETAILED DESCRIPTION

[0020] The present application collects the return air temperature, and when the volatility of the return air temperature is higher than a preset threshold, controls the intelligent temperature control system to enter the adaptive temperature control mode; in the adaptive temperature control mode, controls the compressor to enter the temperature control frequency, and collects the return air temperature difference characteristics at the rising edge during the frequency rising period, and collects the return air temperature difference characteristics at the falling edge during the frequency falling period; determines the return air temperature adjustment factor based on the characteristic difference trend between the return air temperature difference characteristics at the rising edge and the return air temperature difference characteristics at the falling edge; extracts the characteristic time of the return air temperature difference characteristics at the rising edge and the return air temperature difference characteristics at the falling edge, and obtains multiple fresh air temperature rising times and fresh air temperature falling times; makes a correlation judgment on all fresh air temperature rising times and fresh air temperature falling times based on the compressor frequency peak in the adaptive temperature control mode, and obtains the return air temperature influence; corrects the frequency control parameters of the compressor in the intelligent temperature control system through the return air temperature adjustment factor; adjusts the return air volume of the intelligent temperature control system according to the return air temperature influence, and completes the temperature adaptive control, so that when the outdoor fresh air temperature changes greatly, the temperature adaptive adjustment can be performed dynamically according to the indoor return air temperature characteristics when the compressor frequency changes, thereby improving the stability of the indoor temperature.

[0021] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 , which is an exemplary flow chart of an intelligent temperature adaptive adjustment method according to some embodiments of the present application. The intelligent temperature adaptive adjustment method 100 is used for temperature adjustment in an intelligent temperature control system. When implemented specifically, the method mainly includes the following steps: In step S101, the return air temperature is collected, and when the volatility of the return air temperature is higher than a preset threshold, the intelligent temperature control system is controlled to enter an adaptive temperature control mode.

[0022] Optionally, in some embodiments, the return air temperature can be collected by a temperature sensor located in the return air duct. The return air temperature refers to the temperature of the air returning from the air-conditioned area or room to the air-conditioning system. Normally, the return air temperature can be used to reflect the actual ambient temperature in the room. The return air temperature data can provide the system with key environmental feedback, helping the air conditioner and fresh air unit to accurately adjust the temperature and humidity, thereby improving the overall control effect and energy efficiency.

[0023] Optionally, in some embodiments, when the volatility of the return air temperature is higher than a preset threshold, controlling the intelligent temperature control system to enter the adaptive temperature adjustment mode specifically includes: Get the preset volatility comparison period; Record the return air temperature at the current moment according to the preset volatility comparison cycle, and compare it with the return air temperature recorded in the previous volatility comparison cycle; If it is determined that the fluctuation deviation between the return air temperature at the current moment and the return air temperature recorded in the previous fluctuation comparison period is higher than a preset threshold, the intelligent temperature control system is controlled to enter an adaptive temperature control mode.

[0024] In specific implementation, the volatility comparison period is a data sampling period for judging the volatility of the return air temperature. The volatility comparison period is set according to the indoor room area and the power of the fresh air fan. In each comparison period, the return air temperature at the current moment is compared with the return air temperature of the previous comparison period, and the temperature difference between the two is calculated as the fluctuation deviation. When the fluctuation deviation is greater than the preset threshold, it is considered that the return air temperature volatility is high, and the control system will automatically switch to the adaptive temperature control mode. If the fluctuation deviation is less than or equal to the preset threshold, the system remains in the original temperature control mode and continues to monitor the next comparison period.

[0025] In step S102, the compressor is controlled to enter the temperature adjustment frequency in the adaptive temperature adjustment mode, and the return air temperature difference characteristics at the rising edge are collected in the frequency rising period, and the return air temperature difference characteristics at the falling edge are collected in the frequency falling period.

[0026] It should be noted that the compressor is an air conditioning refrigeration compressor in the intelligent temperature control system, which is used for the intelligent temperature control system to perform indoor refrigeration and heating cycles, that is, by compressing the refrigerant and circulating the refrigerant, heat transfer in the room is achieved to achieve a cooling or heating effect. Optionally, in some embodiments, controlling the compressor to enter the temperature adjustment frequency in the adaptive temperature adjustment mode specifically includes: Obtaining a preset temperature adjustment cycle, wherein the temperature adjustment cycle includes a frequency increase cycle and a frequency decrease cycle; A preset compressor frequency operating range is obtained, and the compressor frequency is controlled to increase to an upper limit of the compressor frequency operating range during the frequency increase period, and the compressor frequency is controlled to decrease to a lower limit of the compressor frequency operating range during the frequency decrease period.

[0027] In a specific implementation, the temperature adjustment period is set to 10 minutes through a built-in chip, wherein the frequency increase period and the frequency decrease period are 5 minutes respectively, and the compressor frequency operating range is preset to 60 Hz to 120 Hz.

[0028] Optionally, in some embodiments, reference Figure 2 As shown, this figure is an exemplary flow chart for determining the return air temperature difference characteristics at the rising edge in some embodiments of the present application. The return air temperature difference characteristics at the rising edge collected during the frequency rising period specifically include: In step S1021, during the frequency increase period, fresh air temperature data and return air temperature data are collected at equal intervals; In step S1022, a rising edge return air temperature difference characteristic is obtained according to the fresh air temperature data and the return air temperature data, wherein the rising edge return air temperature difference characteristic includes a plurality of rising edge return air temperature differences and corresponding characteristic moments.

[0029] In specific implementation, after determining the collection interval (for example, every minute or every second) within the frequency rise cycle, the data of fresh air temperature and return air temperature are collected at the set time interval within the frequency rise cycle, and the current fresh air temperature data and return air temperature data are recorded respectively at each collection to form a pair of temperature values. At the same time, a timestamp is attached to each collected data, which is called a characteristic moment, indicating the time point of data collection. At each collection time point, the rising edge return air temperature difference is calculated, that is, the difference between the return air temperature and the fresh air temperature at the current moment: then each calculated temperature difference is recorded and paired with the corresponding characteristic moment to form a rising edge return air temperature difference pair, and finally all collected rising edge return air temperature differences and characteristic moments are arranged in a matrix form to form a characteristic matrix, which is the rising edge return air temperature difference feature. In some embodiments, the characteristic matrix can be expressed as a two-dimensional matrix, in which each row represents a collection point, wherein the collection point includes the rising edge return air temperature difference and the characteristic moment, the rising edge return air temperature difference: the temperature difference value calculated at each collection, the characteristic moment: the collection time point corresponding to the temperature difference value.

[0030] Optionally, in some embodiments, the falling edge return air temperature difference characteristic may be determined by obtaining the same method as the rising edge return air temperature difference characteristic. In specific implementation, the falling edge return air temperature difference characteristic is obtained by collecting in the frequency decreasing period and specifically includes: In the frequency reduction period, fresh air temperature data and return air temperature data are collected at equal intervals; The falling edge return air temperature difference characteristic is acquired according to the fresh air temperature data and the return air temperature data, wherein the falling edge return air temperature difference characteristic includes a plurality of falling edge return air temperature differences and corresponding characteristic moments.

[0031] In step S103, the return air temperature adjustment factor is determined according to the characteristic difference trend between the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; characteristic time extraction is performed on the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge to obtain multiple return air temperature rising times and return air temperature falling times; It should be noted that the return air temperature adjustment factor is the sensitivity of the return air temperature to changes when the compressor frequency changes. Indoor temperature adjustment based on the return air temperature adjustment factor can increase the accuracy of temperature adaptive adjustment. The introduction of the return air temperature adjustment factor can help the system adjust to a new operating point in time, shorten the time for temperature adjustment to reach a steady state, and enhance the response speed to environmental changes.

[0032] Optionally, in some embodiments, determining the return air temperature adjustment factor according to the characteristic difference trend between the rising edge return air temperature difference characteristic and the falling edge return air temperature difference characteristic specifically includes: Acquire the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; Normalizing the rising edge return air temperature difference characteristic and the falling edge return air temperature difference characteristic, and performing reverse end alignment difference to obtain a plurality of return air temperature difference trend values; The return air temperature differential trend is interpolated and fitted according to the time series to obtain the return air temperature differential trend, the return air temperature differential trend is modally decomposed, and the return air temperature adjustment factor is determined according to the return air temperature eigenmode function obtained by the decomposition.

[0033] In specific implementation, after normalizing the rising edge return air temperature difference characteristics and the falling edge return air temperature difference characteristics, the falling edge data are arranged in reverse order and aligned with the rising edge data, and the difference between the rising edge and the falling edge is calculated one by one to obtain a return air temperature differential trend value sequence, which reflects the difference in the degree of influence of the compressor frequency change on the return air temperature at the rising edge and the falling edge.

[0034] Optionally, in some embodiments, the Lagrange interpolation method can be used to interpolate and fit multiple return air temperature differential trend values ​​to obtain the return air temperature differential trend, which is a trend function that reflects the return air temperature change trend. The empirical mode decomposition method is then used to perform modal decomposition on the trend function to obtain multiple eigenmode functions. In specific implementation, the function mean of the eigenmode function with the smallest variance can be selected as the return air temperature adjustment factor.

[0035] Optionally, in some embodiments, feature time extraction is performed on the rising edge return air temperature difference feature and the falling edge return air temperature difference feature to obtain a plurality of return air temperature rising times and return air temperature falling times, specifically including: Obtain characteristic moments corresponding to the respective rising edge return air temperature differences in the rising edge return air temperature difference characteristics; Determine the compressor rising frequency value corresponding to each characteristic moment; Perform forward differentiation on the return air temperature difference at each rising edge to obtain multiple return air temperature difference rising values; For any return air temperature difference rise value, the return air temperature difference rise value is scaled based on the corresponding compressor rise frequency value at its characteristic moment to obtain the rising edge frequency influence feature, and all rising edge frequency influence features are determined in the same way; The characteristic moments corresponding to all rising edge frequency influence characteristics above the frequency influence threshold are taken as the return air temperature rising time; Determine the compressor drop frequency value corresponding to each characteristic moment; Perform forward differentiation on the return air temperature difference at each falling edge to obtain multiple return air temperature difference falling values; For any return air temperature difference drop value, the return air temperature difference drop value is scaled based on the corresponding compressor drop frequency value at its characteristic moment to obtain the drop edge frequency influence feature, and all drop edge frequency influence features are determined in the same way; The characteristic moments corresponding to all falling edge frequency influence characteristics that are higher than the frequency influence threshold are taken as the return air temperature drop time.

[0036] It should be noted that the compressor rising frequency value is the compressor frequency corresponding to the compressor in the frequency rising period at the corresponding characteristic moment, and the compressor falling frequency value is the compressor frequency corresponding to the compressor in the frequency falling period at the corresponding characteristic moment. When scaling the return air temperature difference rising value according to the compressor rising frequency value, the ratio of the compressor rising frequency value to the average of all compressor rising frequency values ​​can be used as the scaling coefficient, and the scaling can be multiplied by the corresponding return air temperature difference rising value to achieve scaling.

[0037] Optionally, in some embodiments, the frequency impact threshold is calibrated as a constant based on experience. In some other embodiments, the characteristic mean of the falling edge frequency impact characteristic and the rising edge frequency impact characteristic may also be used as the frequency impact threshold. This application does not limit this.

[0038] In step S104, a correlation determination is performed on all return air temperature rise times and return air temperature drop times based on the compressor frequency peak value in the adaptive temperature adjustment mode to obtain the return air temperature influence.

[0039] It should be noted that the return air temperature influence degree described in the present application is a quantitative value of the overall influence of the compressor frequency on the return air temperature change, which is determined based on the change regularity of the return air temperature when the frequency rises and falls. In some embodiments, the return air temperature influence degree is obtained by making a relevant judgment on the total return air temperature rise time and the return air temperature fall time based on the compressor frequency peak value in the adaptive temperature control mode, and specifically includes: Obtaining a frequency increase period and a frequency decrease period of the adaptive temperature adjustment mode; Determine a plurality of frequency rise time windows based on the frequency rise period and the return air temperature rise time quantity, obtain the frequency peak value of the compressor in each frequency rise time window, and obtain a first frequency peak value sequence; Acquire the time intervals of each return air temperature rise time to obtain a time interval rise sequence, and determine the first return air temperature influence degree based on the correlation between the time interval rise sequence and the first frequency peak sequence; Determine a plurality of frequency drop time windows based on the frequency drop period and the return air temperature drop time quantity, obtain the frequency peak value of the compressor in each frequency drop time window, and obtain a second frequency peak value sequence; Acquire the time intervals of each return air temperature drop time to obtain a time interval drop sequence, and determine the second return air temperature influence based on the correlation between the time interval drop sequence and the second frequency peak sequence; A final return air temperature influence degree is determined according to an average value of the first return air temperature influence degree and the second return air temperature influence degree.

[0040] Optionally, in some embodiments, the frequency rising cycle is divided into multiple time windows according to the number of frequency rising cycles and return air temperature rising time; similarly, the frequency decreasing cycle is divided, and within each frequency rising time window, the frequency peak value of the compressor is collected and recorded as a first frequency peak sequence; within each frequency decreasing time window, the frequency peak value of the compressor is collected and recorded as a second frequency peak sequence.

[0041] In specific implementation, the time interval rising sequence and the first frequency peak sequence can be normalized, and the Pearson correlation coefficient between the time interval rising sequence and the first frequency peak sequence can be used as the first return air temperature influence degree; the time interval falling sequence and the second frequency peak sequence can be normalized, and the Pearson correlation coefficient between the time interval falling sequence and the second frequency peak sequence can be used as the second return air temperature influence degree. It should be noted that the higher the return air temperature influence degree, the more regular the change in the return air temperature characteristics caused by the change in the frequency value, and the greater the influence of the compressor frequency value on the return air temperature.

[0042] In step S105, the frequency control parameter of the compressor in the intelligent temperature control system is corrected by the return air temperature adjustment factor; the return air volume of the intelligent temperature control system is adjusted according to the return air temperature influence, and the temperature adaptive adjustment is completed.

[0043] Optionally, in some embodiments, a proportional-integral-differential controller (PID) is used to perform feedback control on the compressor frequency in the intelligent temperature control system, and the frequency control parameters in the PID controller are adjusted based on the return air temperature adjustment factor, wherein the frequency control parameters include proportional control parameters, integral control parameters and differential control parameters, and the frequency control parameters determine the degree of direct response of the system to the return air temperature error. For example, when the return air temperature adjustment factor is low, it indicates that the return air temperature is more sensitive to the compressor frequency adjustment. At this time, the frequency control parameters can be increased to enhance the response speed of the system, thereby improving the accuracy of temperature adaptive control.

[0044] In specific implementation, in the process of adjusting the frequency control parameter in the PID controller based on the return air temperature adjustment factor, the corresponding frequency control parameter can be determined according to the threshold range of the return air temperature adjustment factor and a preset mapping table. In some other embodiments, the ratio between the return air temperature adjustment factor and the preset standard value can be used as a correction coefficient, and the product of the initial frequency control parameter and the correction coefficient can be used as the corrected frequency control parameter.

[0045] Optionally, in some embodiments, adjusting the return air volume of the intelligent temperature control system according to the return air temperature influence specifically includes: adjusting the return air valve opening according to the return air temperature influence, thereby controlling the return air volume of the intelligent temperature control system. It should be noted that the return air valve is a valve used to control the amount of air return, and the return air valve is installed in the return air duct of the air conditioner in the intelligent temperature control system. Its main function is to adjust the return air volume entering the system to balance the ratio of indoor and outdoor air, thereby regulating temperature, humidity and air quality; in the intelligent temperature control system, the opening of the return air valve can be automatically adjusted to meet different needs, such as adjusting the indoor air temperature or performing proportional control of the fresh air volume and return air volume; by controlling the opening of the return air valve, the system can increase or decrease the return air volume, thereby effectively managing the flow of indoor air and temperature regulation.

[0046] In specific implementation, mapping can be performed according to the threshold interval where the return air temperature influence degree is located to obtain the corresponding return air valve opening. For example, in specific implementation, when the return air temperature influence degree is greater than 0.7, the return air valve opening is set to 80%; when the return air temperature influence degree is between 0.4-0.7, the return air valve opening is set to 60%; when the return air temperature influence degree is less than 0.4, the return air valve opening is set to 40%. In some other embodiments, the return air temperature influence degree can also be used as a feedback parameter, and the return air valve opening is controlled by a feedback controller according to the feedback parameter.

[0047] In addition, in another aspect of the present application, in some embodiments, the present application provides an intelligent temperature control system, the system includes an adaptive temperature adjustment unit, reference Figure 3 , which is a schematic diagram of the structure of an adaptive temperature adjustment unit according to some embodiments of the present application, the adaptive temperature adjustment unit 200 includes: a data acquisition module 201, a data processing module 202 and a temperature adjustment module 203, which are described as follows: The data acquisition module 201 is used to collect the return air temperature. When the volatility of the return air temperature is higher than a preset threshold, the intelligent temperature control system is controlled to enter an adaptive temperature adjustment mode. The data processing module 202 is used to control the compressor to enter the temperature adjustment frequency in the adaptive temperature adjustment mode, and collect the return air temperature difference characteristics at the rising edge in the frequency rising period, and collect the return air temperature difference characteristics at the falling edge in the frequency falling period; The data processing module 202 is further used to determine the return air temperature adjustment factor according to the characteristic difference trend between the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; perform characteristic time extraction on the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge to obtain multiple return air temperature rising times and return air temperature falling times; The data processing module 202 is further used to make a correlation determination on all return air temperature rise times and return air temperature drop times based on the compressor frequency peak value in the adaptive temperature adjustment mode to obtain the return air temperature influence degree; The temperature adjustment module 203 is used to correct the frequency control parameter of the compressor in the intelligent temperature control system through the return air temperature adjustment factor; adjust the return air volume of the intelligent temperature control system according to the return air temperature influence, and complete temperature adaptive adjustment.

[0048] The above describes in detail an example of an intelligent temperature control system, an intelligent temperature adaptive adjustment method, a device and a medium provided in an embodiment of the present application. It can be understood that in order to realize the above functions, the corresponding device includes a hardware structure and / or software module corresponding to executing each function.

[0049] Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed in this document, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function in the application is executed in hardware or in a computer software-driven hardware manner depends on the specific application and design constraints of the technical solution. Therefore, 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.

[0050] In addition, the present application also provides a computer terminal device, which includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned intelligent temperature adaptive adjustment method.

[0051] In some embodiments, reference Figure 4 , which is a schematic diagram of the structure of a computer terminal device implementing an intelligent temperature adaptive adjustment method according to some embodiments of the present application. An intelligent temperature adaptive adjustment method in the above embodiment can be Figure 4 The computer terminal device 300 shown in the figure is implemented, and the computer terminal device 300 includes at least one communication bus 301, a communication interface 302, a processor 303 and a memory 304.

[0052] The processor 303 may be a general-purpose central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more processors for controlling the execution of an intelligent temperature adaptive adjustment method in the present application.

[0053] The communication bus 301 may include a path for transmitting information between the above-mentioned components.

[0054] The memory 304 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 304 may exist independently and be connected to the processor 303 via the communication bus 301. The memory 304 may also be integrated with the processor 303.

[0055] The memory 304 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 303. The processor 303 is used to execute the program code stored in the memory 304. The program code may include one or more software modules. The determination of the return air temperature influence in the above embodiment can be implemented by the processor 303 and one or more software modules in the program code in the memory 304.

[0056] The communication interface 302 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0057] Optionally, the computer terminal device 300 may further include a power supply 305 for providing power to various devices or circuits in the real-time computer terminal device.

[0058] In a specific implementation, as an embodiment, a computer terminal device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0059] The above-mentioned computer terminal device may be a general-purpose computer terminal device or a dedicated computer terminal device. In a specific implementation, the computer terminal device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer terminal device.

[0060] In addition, in other aspects of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores at least one computer program, and the computer program is loaded and executed by a processor to implement the operations performed by the above-mentioned intelligent temperature adaptive adjustment method.

[0061] In summary, in an intelligent temperature control system, an intelligent temperature adaptive adjustment method, a device and a medium disclosed in an embodiment of the present application, the return air temperature is first collected, and when the volatility of the return air temperature is higher than a preset threshold, the intelligent temperature control system is controlled to enter an adaptive temperature adjustment mode; in the adaptive temperature adjustment mode, the compressor is controlled to enter the temperature adjustment frequency, and the rising edge return air temperature difference characteristics are collected during the frequency rising period, and the falling edge return air temperature difference characteristics are collected during the frequency falling period; the return air temperature adjustment factor is determined based on the characteristic difference trend between the rising edge return air temperature difference characteristics and the falling edge return air temperature difference characteristics; the rising edge return air temperature difference characteristics and the falling edge return air temperature difference characteristics are calculated. The characteristic time is extracted based on the characteristics to obtain multiple fresh air temperature rise times and fresh air temperature drop times; the correlation judgment is made on all fresh air temperature rise times and fresh air temperature drop times based on the compressor frequency peak in the adaptive temperature control mode to obtain the return air temperature influence; the frequency control parameters of the compressor in the intelligent temperature control system are corrected by the return air temperature adjustment factor; the return air volume of the intelligent temperature control system is adjusted according to the return air temperature influence to complete the temperature adaptive control, so that when the outdoor fresh air temperature changes greatly, the temperature adaptive adjustment can be performed dynamically according to the indoor return air temperature characteristics when the compressor frequency changes, thereby improving the stability of the indoor temperature.

[0062] The above is only an embodiment of the present application, and the common knowledge such as the specific technical scheme or characteristics in the scheme is not described in detail here. It should be pointed out that for those skilled in the art, without departing from the technical scheme of the present application, several modifications and improvements can be made, which should also be regarded as the scope of protection of the present application, and these will not affect the effect of the implementation of the present application and the practicality of the patent.

[0063] The scope of protection claimed by this application shall be based on the content of its claims. The specific implementation methods and other records in the specification can be used to interpret the content of the claims. Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include these modifications and variations.

Claims

1. An intelligent temperature adaptive adjustment method, used for temperature adjustment in an intelligent temperature control system, characterized in that: The method comprises the following steps: Collecting the return air temperature, and when the volatility of the return air temperature is higher than a preset threshold, controlling the intelligent temperature control system to enter an adaptive temperature adjustment mode; In the adaptive temperature control mode, the compressor is controlled to enter the temperature control frequency, and the return air temperature difference characteristics at the rising edge are collected during the frequency rising period, and the return air temperature difference characteristics at the falling edge are collected during the frequency falling period; Determine the return air temperature adjustment factor according to the characteristic difference trend between the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; perform characteristic time extraction on the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge to obtain multiple return air temperature rising times and return air temperature falling times; Based on the compressor frequency peak value in the adaptive temperature control mode, a correlation determination is made on all return air temperature rise times and return air temperature drop times to obtain a return air temperature influence degree; The frequency control parameter of the compressor in the intelligent temperature control system is corrected by the return air temperature adjustment factor; the return air volume of the intelligent temperature control system is adjusted according to the return air temperature influence to complete the temperature adaptive adjustment.

2. The method according to claim 1, characterized in that When the fluctuation of the return air temperature is higher than a preset threshold, controlling the intelligent temperature control system to enter the adaptive temperature adjustment mode specifically includes: Get the preset volatility comparison period; Record the return air temperature at the current moment according to the preset volatility comparison cycle, and compare it with the return air temperature recorded in the previous volatility comparison cycle; If it is determined that the fluctuation deviation between the return air temperature at the current moment and the return air temperature recorded in the previous fluctuation comparison period is higher than a preset threshold, the intelligent temperature control system is controlled to enter an adaptive temperature control mode.

3. The method according to claim 1, characterized in that Controlling the compressor to enter the temperature adjustment frequency in the adaptive temperature adjustment mode specifically includes: Obtaining a preset temperature adjustment cycle, wherein the temperature adjustment cycle includes a frequency increase cycle and a frequency decrease cycle; A preset compressor frequency operating range is obtained, and the compressor frequency is controlled to increase to an upper limit of the compressor frequency operating range during the frequency increase period, and the compressor frequency is controlled to decrease to a lower limit of the compressor frequency operating range during the frequency decrease period.

4. The method according to claim 1, characterized in that The return air temperature difference characteristics collected during the frequency rising period include: In the frequency rising period, fresh air temperature data and return air temperature data are collected at equal intervals; The rising edge return air temperature difference characteristic is acquired according to the fresh air temperature data and the return air temperature data, wherein the rising edge return air temperature difference characteristic includes a plurality of rising edge return air temperature differences and corresponding characteristic moments.

5. The method according to claim 1, characterized in that Determining the return air temperature adjustment factor according to the characteristic difference trend between the rising edge return air temperature difference characteristic and the falling edge return air temperature difference characteristic specifically includes: Acquire the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; Normalizing the rising edge return air temperature difference characteristic and the falling edge return air temperature difference characteristic, and performing reverse end alignment difference to obtain a plurality of return air temperature difference trend values; The return air temperature differential trend is interpolated and fitted according to the time series to obtain the return air temperature differential trend, the return air temperature differential trend is modally decomposed, and the return air temperature adjustment factor is determined according to the return air temperature eigenmode function obtained by the decomposition.

6. The method according to claim 1, characterized in that The characteristic time extraction is performed on the rising edge return air temperature difference feature and the falling edge return air temperature difference feature to obtain a plurality of return air temperature rising times and return air temperature falling times, specifically including: Obtain characteristic moments corresponding to the respective rising edge return air temperature differences in the rising edge return air temperature difference characteristics; Determine the compressor rising frequency value corresponding to each characteristic moment; Perform forward differentiation on the return air temperature difference at each rising edge to obtain multiple return air temperature difference rising values; For any return air temperature difference rise value, the return air temperature difference rise value is scaled based on the corresponding compressor rise frequency value at its characteristic moment to obtain the rising edge frequency influence feature, and all rising edge frequency influence features are determined in the same way; The characteristic moments corresponding to all rising edge frequency influence characteristics above the frequency influence threshold are taken as the return air temperature rising time; Determine the compressor drop frequency value corresponding to each characteristic moment; Perform forward differentiation on the return air temperature difference at each falling edge to obtain multiple return air temperature difference falling values; For any return air temperature difference drop value, the return air temperature difference drop value is scaled based on the corresponding compressor drop frequency value at its characteristic moment to obtain the drop edge frequency influence feature, and all drop edge frequency influence features are determined in the same way; The characteristic moments corresponding to all falling edge frequency influence characteristics that are higher than the frequency influence threshold are taken as the return air temperature drop time.

7. The method according to claim 1, characterized in that The return air temperature is collected through the temperature sensor in the intelligent temperature control system.

8. An intelligent temperature control system, comprising an adaptive temperature adjustment unit, characterized in that: The adaptive temperature adjustment unit comprises: A data acquisition module, used for collecting return air temperature, and when the volatility of the return air temperature is higher than a preset threshold, controlling the intelligent temperature control system to enter an adaptive temperature adjustment mode; A data processing module, used for controlling the compressor to enter the temperature adjustment frequency in the adaptive temperature adjustment mode, and collecting the return air temperature difference characteristics at the rising edge in the frequency rising period, and collecting the return air temperature difference characteristics at the falling edge in the frequency falling period; The data processing module is further used to determine the return air temperature adjustment factor according to the characteristic difference trend between the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge; perform characteristic time extraction on the return air temperature difference characteristic at the rising edge and the return air temperature difference characteristic at the falling edge to obtain multiple return air temperature rising times and return air temperature falling times; The data processing module is further used to make a correlation determination on all return air temperature rise times and return air temperature drop times based on the compressor frequency peak value in the adaptive temperature adjustment mode to obtain the return air temperature influence degree; The temperature adjustment module is used to correct the frequency control parameter of the compressor in the intelligent temperature control system through the return air temperature adjustment factor; adjust the return air volume of the intelligent temperature control system according to the return air temperature influence, and complete temperature adaptive adjustment.

9. A computer terminal device, characterized in that: The computer terminal device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute an intelligent temperature adaptive adjustment method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing at least one computer program, characterized in that: The computer program is loaded and executed by a processor to implement the operations performed by the intelligent temperature adaptive adjustment method as described in any one of claims 1 to 7.

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