Air conditioning control method and system based on carbon emission

Abstract

The present application relates to the technical field of air conditioning energy consumption control, and specifically to an air conditioning control method and system based on carbon emissions, the method comprising: collecting the temperature sequence of the air conditioning return air outlet and the power sequence of the compressor; determining the temperature characteristic factor based on the trend and volatility characteristics of the temperature sequence; determining the real-time temperature feedback parameter of the air conditioning compressor power by combining the local correlation and difference between the temperature sequence and the power sequence, as well as the temperature and power characteristic factors; controlling the output power of the compressor by combining the real-time temperature data with the preset indoor target temperature, obtaining the controlled temperature feedback sequence, determining whether the current acquisition moment is a similar point with its previous adjacent element; and controlling the compressor output power in real time based on the judgment of similar points and non-similar points. The present application aims to improve the real-time adjustment of the output power of the air conditioning compressor and reduce carbon emissions under the operation state of the air conditioning.

Description

Technical Field

[0001] The present application relates to the technical field of air conditioning energy consumption regulation, and specifically to an air conditioning control method and system based on carbon emissions. Background Art

[0002] Low-carbon economy is an economic model that focuses on energy conservation and emission reduction, and seeks to reduce energy consumption, environmental pollution and greenhouse gas emissions in the production and consumption process. The key lies in improving energy efficiency and achieving coordinated development of economic growth and environmental protection by optimizing resource allocation and adopting clean energy technologies. In daily life, although air-conditioning systems do not directly emit greenhouse gases, the electricity consumed during their operation usually comes from power generation methods that may produce carbon emissions. Therefore, energy-saving control of air-conditioning systems is crucial to reducing indirect carbon emissions. The air-conditioning industry faces the challenge of reducing carbon emissions, but also ushers in opportunities for technological innovation and system optimization.

[0003] With the development of frequency conversion technology for air conditioners, frequency conversion air conditioners have the ability to automatically adjust the speed of the compressor according to the indoor temperature changes to maintain the set indoor temperature. After reaching the set temperature, the frequency conversion air conditioner will reduce the speed of the compressor to maintain the constant indoor temperature with low power, avoiding frequent start and stop, which not only ensures the comfort of the indoor temperature, but also improves energy efficiency and reduces energy consumption. However, due to indoor temperature fluctuations, changes in indoor heat sources, unreasonable indoor space layout and other problems, the indoor temperature distribution will be uneven. The temperature detected by the temperature sensor at the return air outlet of the frequency conversion air conditioner is different from the set temperature, thereby changing the operating frequency of the compressor to improve the cooling or heating capacity to make the indoor temperature uniform. The existing technology usually only reduces energy consumption by adding an energy-saving mode that affects the temperature control effect, so that the temperature control energy efficiency of the air conditioner is poor when reducing energy consumption, and the energy consumption increases when ensuring the temperature control energy efficiency of the air conditioner. It is impossible to balance the problem of increased power consumption and temperature control effect, which results in more carbon emissions when the air conditioner is in operation. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides an air conditioning control method and system based on carbon emissions, and the technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides an air conditioning control method based on carbon emissions, the method comprising the following steps:

[0006] Collect the temperature of the air return outlet of the air conditioner and the operating power of the compressor to obtain the temperature sequence and power sequence at each collection moment;

[0007] Based on the trend and volatility characteristics of the temperature series, the temperature characteristic factor is determined; accordingly, the power characteristic factor of the power series is obtained;

[0008] Based on the local correlation and local change rate difference between the temperature series and the power series, the influence factor of temperature on power change is determined;

[0009] Combining the difference between the temperature characteristic factor and the power characteristic factor, as well as the influence factor of temperature on power change, the real-time temperature feedback parameter of the air-conditioning compressor power is determined;

[0010] The output power of the compressor is controlled by combining the real-time measured temperature data with the preset indoor target temperature, and a temperature feedback sequence consisting of the reference time after control and the reference time up to the current acquisition time is obtained;

[0011] Based on the difference in temperature feedback parameters between the current acquisition moment and its previous adjacent moment in the temperature feedback sequence, it is determined whether the current acquisition moment and its previous adjacent element are of the same type; based on the judgment of similar points and non-similar points, the compressor output power is controlled in real time.

[0012] Preferably, the method for determining the temperature characteristic factor includes:

[0013] The autocorrelation coefficient is used to obtain the mean autocorrelation coefficient of the temperature series within the preset order value range as a trend change factor;

[0014] The mean difference between the fitted straight line after the temperature series is fitted and the values ​​of all corresponding acquisition moments of the temperature series is recorded as the fluctuation change factor;

[0015] The trend change factor and the fluctuation change factor are combined to determine the temperature characteristic factor.

[0016] Preferably, the method for determining the influence factor of temperature on power change includes:

[0017] Determining a local correlation factor based on the local correlation between the temperature series and the power series;

[0018] Determining a local change factor based on a difference in local change rates between the temperature series and the power series;

[0019] The local correlation factor and the local variation factor are combined to determine the influence factor of temperature on power variation.

[0020] Preferably, the method for determining the local correlation factor includes:

[0021] Construct a window of preset size with the element at any acquisition moment in the temperature series and the power series as the center;

[0022] For two windows corresponding to any acquisition time in the temperature series and the power series, the correlation between the two windows is calculated;

[0023] The mean of the correlation between the two windows corresponding to all acquisition moments in the temperature series and the power series is taken as the local correlation factor.

[0024] Preferably, the method for determining the local variation factor includes:

[0025] Calculate the mean difference between all adjacent elements in the two windows respectively;

[0026] The difference mean of the window at any acquisition time in the temperature series is used as the numerator, and the difference mean of the window at the corresponding acquisition time in the power series is used as the denominator;

[0027] The ratio of the numerator to the denominator is calculated, and the average of the ratios corresponding to all acquisition moments in the temperature series and the power series is taken as the local change factor.

[0028] Preferably, the method for determining the real-time temperature feedback parameter of the air-conditioning compressor power includes:

[0029] Calculate the difference between the temperature characteristic factor and the power characteristic factor, and record it as the difference degree factor between temperature and power;

[0030] Determining the temperature feedback parameter based on the difference degree factor and the change influence factor;

[0031] The temperature feedback parameter is negatively correlated with the difference degree factor and positively correlated with the change influencing factor.

[0032] Preferably, the control of the output power of the compressor by combining the real-time measured temperature data with the preset indoor target temperature, and obtaining a temperature feedback sequence consisting of a reference time after control and a reference time to the current acquisition time, includes:

[0033] The temperature data measured in real time from the return air outlet of the air conditioner and the preset indoor target temperature are used as the input of the sliding mode control algorithm to output a control signal; the control signal is used to guide the compressor to adjust the output power;

[0034] The time when the temperature of the return air outlet of the air conditioner collected after adjusting the output power is the same as the preset indoor target temperature for the first time is recorded as the reference time;

[0035] The temperature feedback parameters of all acquisition moments between the reference moment and the current acquisition moment are combined into a temperature feedback sequence at the current acquisition moment.

[0036] Preferably, the method for determining whether the current acquisition moment is a point of the same type as its previous adjacent element comprises:

[0037] When the difference in temperature feedback parameters between the current acquisition moment and the previous adjacent acquisition moment is less than the preset similarity judgment threshold, the current acquisition moment and the previous adjacent acquisition moment are regarded as similar points;

[0038] Otherwise, the current acquisition moment and its previous adjacent acquisition moment are not of the same type.

[0039] Preferably, the real-time control of the compressor output power based on the judgment of similar points and non-similar points includes:

[0040] When the current collection time and its previous adjacent collection time are of the same type, the output power of the air-conditioning compressor is not adjusted;

[0041] Otherwise, the current collection time is used as the new reference time, and the temperature data of the air-conditioning return air outlet collected at the new reference time is combined with the preset indoor standard temperature and input into the sliding mode control algorithm to output a control signal to guide the compressor to adjust its output power; at the same time, the temperature feedback parameters of the new reference time and all the collection times from the new reference time to the new current collection time form a new current collection time temperature feedback sequence.

[0042] In the second aspect, an embodiment of the present application also provides an air-conditioning control system based on carbon emissions, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, it implements the steps of any one of the above-mentioned carbon-emission-based air-conditioning control methods.

[0043] This application has at least the following beneficial effects:

[0044] The present invention proposes an air-conditioning control method and system based on carbon emissions. To address the problem of uneven indoor temperature distribution, the temperature characteristic factor is determined based on the trend and volatility characteristics of the temperature sequence. The beneficial effect is that the trend and volatility characteristics of the temperature data are analyzed, and the cumulative effect of temperature changes is identified, so that the air-conditioning system is more effectively adjusted to adapt to environmental changes. To address the problem of increased energy consumption of the air-conditioning system under different indoor and outdoor conditions, the influence factor of temperature on power change is determined based on the local correlation and local change rate difference between the temperature sequence and the power sequence. The beneficial effect is that the correlation and change rate difference characteristics of the temperature and power data are analyzed, and the direct impact of temperature changes on the compressor power is measured, which provides key parameters for energy optimization for the intelligent adjustment of the air-conditioning system. To address the problem of inconsistent response of the air-conditioning system to temperature changes under different operating conditions , combined with the difference between the temperature characteristic factor and the power characteristic factor, as well as the temperature influence factor on the power change, the real-time temperature feedback parameter of the air-conditioning compressor power is determined, and its beneficial effect is to combine the above-mentioned analyzed characteristics to solve the real-time and accuracy problems of compressor power adjustment; for the problem of reducing energy consumption while ensuring temperature control efficiency of the air-conditioning system, the real-time measured temperature data and the preset indoor target temperature are combined, and based on the temperature feedback parameter difference between the current collection moment and its previous adjacent moment in the temperature feedback sequence, the compressor output power is controlled in real time. Its beneficial effect is to analyze the stability of the temperature of the air-conditioning return air outlet at the current collection moment, so as to explore whether the demand for the output power adjusted by the compressor at this time is consistent with that at the previous adjacent moment, so that it can be adjusted in combination with the specific working state of the air-conditioning, thereby effectively reducing carbon emissions under the operation state of the air-conditioning. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 A flowchart of an air conditioning control method based on carbon emissions provided in one embodiment of the present application;

[0047] Figure 2 A flowchart of a construction process for evaluating the feedback performance of a compressor to temperature changes provided by one embodiment of the present application;

[0048] Figure 3 A flow chart of a method for determining a temperature characteristic factor provided in one embodiment of the present application;

[0049] Figure 4A flow chart of a method for determining a temperature-to-power change influence factor provided in one embodiment of the present application;

[0050] Figure 5 A process flow chart for real-time adjustment of the output power of an air-conditioning compressor provided in accordance with an embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the carbon emission-based air conditioning control method and system proposed in the present application, its specific implementation, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0052] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0053] The following is a detailed description of a carbon emission-based air conditioning control method and system provided by the present application in conjunction with the accompanying drawings.

[0054] An embodiment of the present application provides an air conditioning control method and system based on carbon emissions.

[0055] Specifically, the following air conditioning control method based on carbon emissions is provided, please refer to Figure 1 , the method comprises the following steps:

[0056] The first step is to collect the temperature of the air return outlet of the air conditioner and the operating power of the compressor to obtain the temperature sequence and power sequence at each collection moment.

[0057] In order to realize the carbon emission energy-saving mode of the air conditioner to reduce energy consumption, in this embodiment, a temperature sensor is set at the return air outlet of the air conditioner, and a motor power sensor is set on the output line of the air conditioner outdoor unit compressor. The temperature probe at the return air outlet measures the temperature near the return air outlet, and the motor power sensor measures the operating power of the compressor.

[0058] In this embodiment, the data collection interval is set to 0.1s, and in other embodiments, it can be set according to actual conditions. The two sensors in the air conditioning operation data collection module collect data simultaneously when the air conditioning is running, so that the collection frequency of the two types of data is consistent, and the collected data is normalized to form a temperature sequence and a power sequence at each collection moment. Among them, the temperature sequence and power sequence at each collection moment are composed of the data at the current collection moment and all previous collection moments.

[0059] The second step is to evaluate the feedback performance of the compressor to temperature changes by analyzing the temperature series and power series.

[0060] Due to factors such as indoor and outdoor temperature and wind speed, such as strong direct sunlight or wind speed changes, and changes in indoor heat sources, such as cooking and the use of high-power electrical appliances, the indoor temperature distribution will be uneven, causing the temperature measured by the air-conditioning return air outlet temperature probe to change, further causing changes in the compressor power. The air-conditioning system requires more energy to maintain the set indoor temperature, which increases the energy consumption of the air-conditioning system and generates more carbon emissions during the power generation process, which is inconsistent with the goal of achieving carbon peak and carbon neutrality.

[0061] Based on this, the present application analyzes the temperature sequence and the power sequence to evaluate the feedback performance of the compressor to the temperature change. The construction process flow chart of evaluating the feedback performance of the compressor to the temperature change is shown in the attached figure. Figure 2 As shown, specifically:

[0062] A1, based on the trend and volatility characteristics of the temperature series, determine the temperature characteristic factor; accordingly, obtain the power characteristic factor of the power series.

[0063] In order to more accurately understand the changing trend and pattern of indoor temperature and analyze the heat load demand of air conditioning, the temperature series is analyzed as follows:

[0064] First, the temperature sequence is taken as input, and the autocorrelation coefficient is used to analyze the autocorrelation coefficient of the temperature sequence at each order. In this embodiment, the minimum value of the order is set to 2, and the maximum value is half of the length of the temperature sequence and then rounded down to the value obtained. The minimum value and the maximum value are respectively used as the two boundaries of the value range of the order to form the value range of the order.

[0065] Then, the temperature sequence is input, and a straight line fitting algorithm is used to output the straight line equation to which the temperature sequence is fitted, and the difference between the actual temperature value at each acquisition moment and the corresponding acquisition moment in the straight line equation is calculated, and recorded as the temperature fitting difference at the corresponding acquisition moment. Among them, this embodiment uses the least squares method to fit the straight line. The least squares method is a well-known technology and will not be described in detail. Other embodiments of the present application may also use a suitable straight line fitting algorithm such as robust regression to fit the straight line.

[0066] The present application calculates the temperature characteristic factor of the air conditioner return air outlet temperature based on the trend change of the air conditioner return air outlet temperature and the fluctuation of the air conditioner return air outlet temperature, wherein the trend change and the fluctuation are positively correlated with the temperature fluctuation factor.

[0067] It can be understood that a positive correlation means that the dependent variable will increase as the independent variable increases, and the dependent variable will decrease as the independent variable decreases. The positive correlation is determined by actual application and is not particularly limited in this application.

[0068] Specifically, the trend change of the return air outlet temperature of the air conditioner is obtained by calculating the mean of the autocorrelation coefficients of the temperature series at all orders within the order value range. The mean of the autocorrelation coefficients of the temperature series at all orders within the order value range is recorded as the trend change factor. The trend change factor represents the overall trend of the temperature series over time and reflects the stability of the temperature over time. The larger the value, the stronger the influence of the past temperature value on the current temperature, and the temperature characteristic factor increases accordingly, thereby reflecting the cumulative effect of temperature change.

[0069] Specifically, the fluctuation of the return air outlet temperature of the air conditioner is obtained by calculating the mean of the temperature fitting differences at all acquisition moments. The mean of the temperature fitting differences at all acquisition moments is recorded as the fluctuation change factor. The fluctuation change factor reflects the fluctuation degree of the temperature series around the trend line, that is, the average deviation between the actual temperature value and the trend prediction value. The larger the value, the more drastic the temperature change, which may be affected by multiple indoor and outdoor factors. The temperature characteristic factor becomes larger accordingly, indicating the contribution of the volatility of temperature change to the cumulative effect of the overall temperature change.

[0070] In one embodiment of the present application, the trend change factor and the fluctuation change factor are merged to determine the temperature characteristic factor, wherein the sum of the normalized values ​​of the trend change factor and the fluctuation change factor is used as the temperature characteristic factor.

[0071] In another embodiment of the present application, the product of the normalized value of the trend change factor and the fluctuation change factor is used as the temperature characteristic factor.

[0072] In other embodiments of the present application, the fluctuation change factor can also be used as the exponent of an exponential function with a natural constant as the base, and the product of the calculation result of the exponential function and the trend change factor can be used as the temperature characteristic factor.

[0073] It should be understood that the magnitude of the temperature characteristic factor of the temperature sequence reflects the overall characteristics of the indoor temperature change. The larger the value, the greater the fluctuation of the indoor temperature change and the greater the impact of the historical temperature. The power characteristic factor of the compressor power is then calculated using the same method.

[0074] In one embodiment of the present application, a flow chart of a method for determining a temperature characteristic factor is shown in the attached Figure 3 shown.

[0075] A2, based on the local correlation and local change rate difference between the temperature series and the power series, determine the influence factor of temperature on power change.

[0076] In addition to temperature, many factors such as the type and amount of refrigerant, usage mode, and air quality can cause changes in the inverter air conditioner compressor. In order to more intuitively analyze the impact of temperature on compressor power, the collected data is analyzed as follows:

[0077] A window of size 1×15 is constructed with each element in the temperature sequence as the center. The window size can be set by the implementer according to the actual situation. It should be noted that if the center of the window is near the sequence boundary and the window exceeds the sequence boundary, the part of the window that exceeds the sequence boundary is mean-filled to keep the window size unchanged. The same method is then used to construct a window with each element in the power sequence as the center.

[0078] Taking the two windows corresponding to each same acquisition time in the temperature sequence and the power sequence as an example, the correlation between the two windows is calculated. In this embodiment, Pearson correlation analysis is used to calculate the correlation between the two windows. Pearson correlation analysis is a well-known technology and will not be described in detail. In other embodiments, the reciprocal of the DTW distance between the two windows can also be used to calculate the correlation between the two windows.

[0079] Then, the mean difference between all adjacent elements in the window of each acquisition moment in the temperature series or power series is calculated, and recorded as the local gradient of each acquisition moment window in the temperature series or power series.

[0080] Based on the local correlation between temperature change and power change and the difference in local change rate between temperature and power, the influence factor of temperature on power change is calculated. The specific analysis process is as follows:

[0081] Specifically, the local correlation between temperature change and power change is obtained by calculating the average correlation between all two windows at the same acquisition time. The average correlation between all two windows at the same acquisition time is recorded as the local correlation factor. The local correlation factor represents the strength of the linear relationship between temperature change and power change, and reflects the synchronization between temperature change and power change in the window at the same acquisition time. The larger the value, the greater the direct impact of temperature change on power, and the influence factor of temperature on power change increases accordingly.

[0082] Specifically, the local change rate difference between temperature and power is calculated by calculating the ratio of the local gradients of the windows at the same acquisition time in the temperature sequence and the power sequence, which is recorded as the first ratio. The average of the first ratios between the two windows at all the same acquisition times of the temperature sequence and the power sequence is calculated as the local change factor. The local change factor is the local change rate difference between temperature and power. The local change factor represents the difference in the rate of change of elements in the window in the temperature sequence or the power sequence, and reflects the local influence of temperature on power change in the time window at the same acquisition time. The larger the value, the greater the influence of temperature on power, and the influence factor of temperature on power change increases accordingly.

[0083] The local correlation factor and the local variation factor are combined to determine the influence factor of temperature on power variation.

[0084] In one embodiment of the present application, the product of the local correlation factor and the local variation factor is used as the temperature-to-power variation influence factor.

[0085] In another embodiment of the present application, the sum of the local correlation factor and the local variation factor is used as the temperature-to-power variation influence factor.

[0086] In other embodiments of the present application, the product of the ratio and the correlation at each acquisition moment may be calculated, and the average of the product results at all acquisition moments may be used as the influence factor of temperature on power change.

[0087] It should be understood that the temperature-to-power change impact factor reflects the comprehensive impact of temperature change on the power of the air-conditioning system under the condition of temperature change. The larger the value, the more significant the change in power consumption will be caused by the temperature change.

[0088] In one embodiment of the present application, a flow chart of a method for determining a temperature-to-power change influence factor is shown in the attached figure. Figure 4 shown.

[0089] A3, combining the difference between the temperature characteristic factor and the power characteristic factor, as well as the influence factor of temperature on power change, determines the real-time temperature feedback parameter of the air-conditioning compressor power.

[0090] After analyzing the impact of temperature on the power of the air-conditioning compressor, the real-time temperature feedback parameter of the air-conditioning compressor power is calculated based on the temperature characteristic factor, the power characteristic factor and the temperature change impact factor on the power. Among them, the real-time temperature feedback parameter of the air-conditioning compressor power is negatively correlated with the difference between the temperature characteristic factor and the power characteristic factor, and is positively correlated with the temperature change impact factor on the power, specifically:

[0091] In one embodiment of the present application, the specific calculation relationship of the real-time temperature feedback parameter of the air-conditioning compressor power is: ,in, represents the temperature characteristic factor, represents the power characteristic factor, e is a natural constant, is the influence factor of temperature on power change, is the real-time temperature feedback parameter of the air-conditioning compressor power. It is recorded as the difference factor between the temperature characteristic factor and the power characteristic factor. , represents the difference in the degree of fluctuation between the temperature sequence and the power sequence, and quantifies the inconsistency between the indoor temperature change and the compressor power change. In this embodiment, a negative correlation mapping is performed on it through a negative exponential function, which can ensure that the value range after mapping is 0 to 1, so as to eliminate the large changes caused by the negative correlation mapping. The larger the value, the more unstable the response of the air-conditioning compressor to the temperature change, that is, the less stable the influence of temperature on the compressor power, the smaller the feedback of temperature on the compressor, and the smaller C; B reflects the comprehensive influence of temperature change on the power of the air-conditioning system under the condition of temperature change, and is a direct measure of the influence of temperature change on power change. The larger the value, the greater the direct influence of temperature change on power change, and the larger the value of C.

[0092] In summary, A reflects the instability of the compressor's feedback to temperature changes, while B reflects the direct impact of the compressor's feedback to temperature changes. C combines the two to quantify the compressor's overall feedback to temperature changes. The larger its value, the more sensitive and significant the compressor's feedback to temperature changes.

[0093] In another embodiment of the present application, the difference between the temperature characteristic factor and the power characteristic factor can be used as the denominator, and the temperature effect on power can be used as the numerator. The ratio of the numerator to the denominator is calculated as the real-time temperature feedback parameter of the air-conditioning compressor power.

[0094] In other embodiments of the present application, the difference between the temperature effect factor on power change and the temperature characteristic factor and the power characteristic factor can also be used as a real-time temperature feedback parameter of the air-conditioning compressor power.

[0095] The third step is to adjust the output power of the air-conditioning compressor in real time based on the temperature feedback parameters measured in real time.

[0096] In one embodiment of the present application, a process flow chart of real-time adjustment of the output power of the air-conditioning compressor is shown in the attached figure. Figure 5 shown.

[0097] S1, combining the real-time measured temperature data with the preset indoor target temperature to control the output power of the compressor, and obtaining a temperature feedback sequence consisting of a reference time after control and a reference time up to the current acquisition time.

[0098] The indoor target temperature set by the user and the temperature data measured by the temperature sensor of the air conditioner return air outlet in real time are used as inputs, and the sliding mode control algorithm is used to output a control signal, which instructs the compressor to adjust its output power to change the indoor temperature, so as to ensure that the temperature detected at the air conditioner return air outlet is the same as the temperature set by the air conditioner. The sliding mode control algorithm is a well-known technology and will not be described in detail.

[0099] Record the moment when the temperature detected at the return air outlet of the air conditioner is the same as the set indoor target temperature for the first time after the control signal instructs the compressor to adjust the power output to change the indoor temperature. Record it as the reference moment. The temperature feedback parameters of all collection moments within the range from the reference moment to the current collection moment constitute the temperature feedback sequence of the current collection moment.

[0100] S2, based on the difference in temperature feedback parameters between the current acquisition moment and its previous adjacent moment in the temperature feedback sequence, determine whether the current acquisition moment and its previous adjacent element are of the same type; based on the judgment of similar points and non-similar points, control the compressor output power in real time.

[0101] The temperature feedback sequence constituting the current collection moment is used to determine whether the current collection moment has the same temperature feedback situation as the previous adjacent collection moment. If they have the same temperature feedback situation, it means that the temperature of the air-conditioning return air outlet is relatively stable at the current collection moment without significant changes, that is, the demand for the output power adjusted by the compressor is the same as that of the previous adjacent moment, and there is no need to adjust the output power of the compressor; on the contrary, if they do not have the same temperature feedback situation, it means that the temperature of the air-conditioning return air outlet has changed, and the output power of the air-conditioning compressor needs to be adjusted in real time, so that it can be adjusted in combination with the specific working state of the air-conditioning, thereby effectively reducing carbon emissions under the operating state of the air-conditioning.

[0102] Based on this, a similar judgment threshold is set. In this embodiment, the similar judgment threshold is taken as the average difference of the temperature feedback parameters between all adjacent collection moments that have been collected. In other embodiments, the similar judgment threshold can be set according to actual conditions.

[0103] When the difference in temperature feedback parameters between the current acquisition moment and the previous adjacent acquisition moment is less than the same category judgment threshold, the current acquisition moment and the previous adjacent acquisition moment are regarded as the same category points; the output power of the air conditioner compressor is not adjusted;

[0104] Otherwise, the current collection moment and its previous adjacent collection moment are not of the same type. The current collection moment is used as the new reference moment. The temperature data of the air-conditioning return air outlet collected at the new reference moment and the indoor standard temperature are input into the sliding mode control algorithm. The output control signal is used to guide the compressor to adjust its output power to change the indoor temperature. At the same time, the temperature feedback parameters of the new reference moment and all the collection moments from the new reference moment to the new current collection moment form a new temperature feedback sequence for the current collection moment.

[0105] It should be noted that the current collection moment and the previous adjacent collection moment are of the same type, indicating that the return air outlet temperature of the air conditioner at the current collection moment has not changed significantly relative to the previous adjacent moment, and there is no need to adjust the power of the air-conditioning compressor; when the current collection moment and the previous adjacent collection moment are not of the same type, indicating that the return air outlet temperature of the air conditioner at the current collection moment has changed significantly relative to the previous adjacent moment, and the power of the air-conditioning compressor needs to be adjusted to ensure the temperature control efficiency while controlling the energy consumption of the compressor to the minimum, thereby reducing power consumption and making the greatest contribution to reducing carbon emissions.

[0106] Based on the same inventive concept as the above method, an embodiment of the present application also provides a carbon emission-based air-conditioning control system, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of a carbon emission-based air-conditioning control method described in any one of the above methods are implemented.

[0107] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0108] It should be noted that, unless otherwise specified and limited, terms such as "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such article or device. In the absence of further restrictions, an element defined by the sentence "including one..." does not exclude the existence of other identical elements in the article or device including the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items.

[0109] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not invented by the present application.

[0110] It should be understood that the present application is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof.

Claims

1. An air conditioning control method based on carbon emissions, characterized in that: The method comprises the following steps: Collect the temperature of the air return outlet of the air conditioner and the operating power of the compressor to obtain the temperature sequence and power sequence at each collection moment; Based on the trend and volatility characteristics of the temperature series, the temperature characteristic factor is determined; accordingly, the power characteristic factor of the power series is obtained; Based on the local correlation and local change rate difference between the temperature series and the power series, the influence factor of temperature on power change is determined; Combining the difference between the temperature characteristic factor and the power characteristic factor, as well as the influence factor of temperature on power change, the real-time temperature feedback parameter of the air-conditioning compressor power is determined; The output power of the compressor is controlled by combining the real-time measured temperature data with the preset indoor target temperature, and a temperature feedback sequence consisting of the reference time after control and the reference time up to the current acquisition time is obtained; Based on the difference in temperature feedback parameters between the current acquisition moment and its previous adjacent moment in the temperature feedback sequence, determine whether the current acquisition moment is a similar point to its previous adjacent element; based on the judgment of similar points and non-similar points, control the compressor output power in real time; The method for determining the temperature characteristic factor includes: The autocorrelation coefficient is used to obtain the mean autocorrelation coefficient of the temperature series within the preset order value range as a trend change factor; The mean difference between the fitted straight line after the temperature series is fitted and the values ​​of all corresponding acquisition moments of the temperature series is recorded as the fluctuation change factor; The trend change factor and the fluctuation change factor are integrated to determine the temperature characteristic factor; The method for determining the influence factor of temperature on power change includes: Determining a local correlation factor based on the local correlation between the temperature series and the power series; Determining a local change factor based on a difference in local change rates between the temperature series and the power series; The local correlation factor and the local variation factor are combined to determine the influence factor of temperature on power variation; The method combines the real-time measured temperature data with the preset indoor target temperature to control the output power of the compressor, and obtains a temperature feedback sequence consisting of a reference time after control and a reference time to the current acquisition time, including: The temperature data measured in real time from the return air outlet of the air conditioner and the preset indoor target temperature are used as the input of the sliding mode control algorithm to output a control signal; the control signal is used to guide the compressor to adjust the output power; The time when the temperature of the return air outlet of the air conditioner collected after adjusting the output power is the same as the preset indoor target temperature for the first time is recorded as the reference time; The temperature feedback parameters of all acquisition moments between the reference moment and the current acquisition moment are combined into a temperature feedback sequence at the current acquisition moment; The method for determining whether the current acquisition moment is a point of the same type as its previous adjacent element comprises: When the difference in temperature feedback parameters between the current acquisition moment and the previous adjacent acquisition moment is less than the preset similarity judgment threshold, the current acquisition moment and the previous adjacent acquisition moment are regarded as similar points; Otherwise, the current acquisition moment and its previous adjacent acquisition moment are not of the same type.

2. The air conditioning control method based on carbon emissions according to claim 1, characterized in that: The method for determining the local correlation factor includes: Construct a window of preset size with the element at any acquisition moment in the temperature series and the power series as the center; For two windows corresponding to any acquisition time in the temperature series and the power series, the correlation between the two windows is calculated; The mean of the correlation between the two windows corresponding to all acquisition moments in the temperature series and the power series is taken as the local correlation factor.

3. The air conditioning control method based on carbon emissions according to claim 2, characterized in that: The method for determining the local variation factor includes: Calculate the mean difference between all adjacent elements in the two windows respectively; The difference mean of the window at any acquisition time in the temperature series is used as the numerator, and the difference mean of the window at the corresponding acquisition time in the power series is used as the denominator; The ratio of the numerator to the denominator is calculated, and the average of the ratios corresponding to all acquisition moments in the temperature series and the power series is taken as the local change factor.

4. The air conditioning control method based on carbon emissions according to claim 1, characterized in that: The method for determining the real-time temperature feedback parameter of the air-conditioning compressor power includes: Calculate the difference between the temperature characteristic factor and the power characteristic factor, and record it as the difference degree factor between temperature and power; Determining the temperature feedback parameter based on the difference degree factor and the change influence factor; The temperature feedback parameter is negatively correlated with the difference degree factor and positively correlated with the change influencing factor.

5. The air conditioning control method based on carbon emissions according to claim 1, characterized in that: The real-time control of the compressor output power based on the judgment of similar points and non-similar points includes: When the current collection time and its previous adjacent collection time are of the same type, the output power of the air-conditioning compressor is not adjusted; Otherwise, the current collection time is used as the new reference time, and the temperature data of the air-conditioning return air outlet collected at the new reference time is combined with the preset indoor standard temperature and input into the sliding mode control algorithm to output a control signal to guide the compressor to adjust its output power; at the same time, the temperature feedback parameters of the new reference time and all the collection times from the new reference time to the new current collection time form a new current collection time temperature feedback sequence.

6. An air conditioning control system based on carbon emissions, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the carbon emission-based air conditioning control method as described in any one of claims 1-5 are implemented.

Images