Energy-saving adjustment method, device and system for building environment

Abstract

The present application relates to the field of building environment regulation technology, and specifically to an energy-saving regulation method, device and system for building environment, the method comprising: obtaining outdoor wind speed, outdoor temperature, indoor temperature, CO2 concentration and VOCs concentration at each time in each area inside the building; dividing all time into multiple time periods; determining the potential impact coefficient of each time period in each area; determining the regional difference of each time period in each area; determining the short-term impact index of each time period in each area; determining the air conditioning intensity of each area; obtaining the duty cycle of the PWM controller in the air conditioning equipment of each area, and regulating the air of the building environment. The present application can use different regulation strengths for air conditioning in different areas to reduce energy consumption, achieve energy-saving regulation of the building environment, and improve the efficiency of air conditioning in the building environment.

Description

Technical Field

[0001] The present application relates to the technical field of building environment regulation, and in particular to an energy-saving regulation method, device and system for a building environment. Background Art

[0002] With the acceleration of urbanization and the continuous expansion of building scale, energy consumption continues to rise, and building environmental issues have gradually become the focus of attention. These problems are mainly reflected in the low efficiency of energy utilization and the need to improve the quality of indoor and outdoor environments. Especially during the use of buildings, it is particularly important to adjust indoor temperature and humidity, as well as maintain air quality.

[0003] Large buildings usually have larger spaces and volumes, which makes air circulation and temperature distribution more complicated. Traditional building environment air conditioning methods mainly perform single adjustments based on set parameters such as temperature, without considering the mutual influence between different areas and the air conditions in different areas, so they cannot be adjusted according to actual needs, which may lead to unnecessary energy consumption. Secondly, affected by the heat load of the building environment, the uneven distribution of various pollutants in the air, and the complex air flow state, the air conditioning efficiency of the building environment is not high. Summary of the invention

[0004] In order to solve the above technical problems, an energy-saving adjustment method, device and system for a building environment are provided to solve the existing problems.

[0005] The solution to the technical problem of this application is to provide an energy-saving adjustment method, device and system for a building environment, including the following steps:

[0006] In a first aspect, an embodiment of the present application provides an energy-saving adjustment method for a building environment, the method comprising the following steps:

[0007] Obtain the outdoor wind speed, outdoor temperature, indoor temperature, CO2 concentration and VOCs concentration of each area inside the building at each time;

[0008] Divide all time into multiple time periods; determine the potential impact coefficient of each time period in each area based on the indoor and outdoor temperature difference and outdoor wind speed distribution between different times in each time period of each area;

[0009] According to the fluctuation differences of indoor temperature, CO2 concentration and VOCs concentration between each area and other adjacent areas in the same time period, as well as the differences of the potential impact coefficients between adjacent areas in the same time period, the regional differences of each area in each time period are determined;

[0010] According to the similarity of the changes in indoor temperature, CO2 concentration and VOCs concentration between each area and the other adjacent areas in the same time period, combined with the regional differences, the short-term impact index of each area in each time period is determined;

[0011] According to the difference in indoor temperature at all times between different areas, combined with the short-term impact index, the air conditioning intensity of each area is determined; based on the air conditioning intensity, the duty cycle of the PWM controller in the air conditioning equipment of each area is obtained to adjust the air of the building environment.

[0012] Preferably, determining the potential impact coefficient of each time period in each area includes:

[0013] The difference between the indoor temperature and the outdoor temperature at each time in each time period of each area is taken as the temperature difference at each time in each time period of each area;

[0014] The temperature difference at each time in each time period of each area and the outdoor wind speed at the corresponding time are combined into a two-dimensional array;

[0015] Using cluster analysis algorithm, all two-dimensional arrays in each time period of each region are clustered to obtain multiple clusters;

[0016] Analyze the distance relationship between each element in each cluster and the other elements in the corresponding cluster and the elements in other clusters respectively, and determine the intra-cluster difference and inter-cluster difference of each element in each cluster;

[0017] The ratio of the inter-cluster difference to the intra-cluster difference is recorded as a relative ratio;

[0018] All the relative ratios in each time period of each region are merged to determine the potential impact coefficient of each time period of each region.

[0019] Preferably, determining the intra-cluster differences and inter-cluster differences of each element in each cluster includes:

[0020] The mean of the distances between each element in each cluster and all other elements in the corresponding cluster is recorded as the intra-cluster difference of each element in each cluster;

[0021] The mean of the distances between each element in each cluster and all elements in the remaining clusters is recorded as the inter-cluster difference of each element in each cluster.

[0022] Preferably, the determining of the regional difference of each time period in each region includes:

[0023] Analyze the fluctuations of indoor temperature, CO2 concentration and VOCs concentration in adjacent areas during the same time period, and determine the abnormality of changes in each area during each time period;

[0024] The difference in the potential impact coefficient between each region and the other adjacent regions in the same time period is recorded as the first difference;

[0025] The difference in the abnormality of each region and the other adjacent regions in the same time period is recorded as the second difference;

[0026] The product of the first difference and the second difference is calculated and recorded as the difference product; the average of the difference products between each region and all its adjacent regions in each time period is taken as the regional difference degree of each region in each time period.

[0027] Preferably, determining the abnormality of changes in each time period of each area includes:

[0028] The fractal dimensions of indoor temperature, CO2 concentration and VOCs concentration at all times in each time period of each area are calculated respectively;

[0029] The sum of the fractal dimensions of the indoor temperature, CO2 concentration and VOCs concentration in each time period of each area is taken as the abnormality of the change in each time period of each area.

[0030] Preferably, determining the short-term impact index of each time period in each region includes:

[0031] Analyze the similarity of indoor temperature, CO2 concentration, and VOCs concentration changes in each area and its adjacent areas in the same time period, and determine the first similarity, second similarity, and third similarity of each time period in each area;

[0032] Taking the first similarity, the second similarity and the average of the second similarity as the short-term similarity coefficient of each time period of each region;

[0033] The ratio of the regional difference to the short-term similarity coefficient is used as the short-term impact index of each region in each time period.

[0034] Preferably, the determining of the first similarity, the second similarity and the third similarity of each time period of each area includes:

[0035] Determine the first similarity of each time period of each area according to the average of the similarity between the indoor temperatures of each area and all its adjacent areas at all times in the same time period;

[0036] For the CO2 concentration and VOCs concentration at all times in each time period of each region, the same method as the first similarity is used to obtain the second similarity and the third similarity in each time period of each region.

[0037] Preferably, the determining of the air conditioning intensity of each area; and obtaining the duty cycle of the PWM controller in the air conditioning equipment of each area based on the air conditioning intensity include:

[0038] The mean of the difference between the indoor temperature of each area and all other areas at all times is recorded as the first mean;

[0039] The mean of the short-term impact index of all time periods in each region is recorded as the second mean;

[0040] The product of the first mean and the second mean is used as the air conditioning intensity of each area;

[0041] The air conditioning intensity of all areas in each acquisition period is normalized and determined as the duty cycle of the PWM controller in the air conditioning equipment of each area.

[0042] In a second aspect, the embodiment of the present application further provides an energy-saving adjustment device for a building environment, the device comprising:

[0043] The data acquisition module is used to obtain the outdoor wind speed, outdoor temperature, indoor temperature, CO2 concentration and VOCs concentration of each area inside the building at each time;

[0044] The environmental analysis module is used to divide all time periods into multiple time periods; determine the potential impact coefficient of each time period in each area according to the difference in the temperature difference between the inside and outside of each area at different times and the distribution difference of the outdoor wind speed in each time period; determine the regional difference of each time period in each area according to the difference in the potential impact coefficient between the same time periods in adjacent areas and the difference in the fluctuation of the indoor temperature, CO2 concentration and VOCs concentration between the same time periods in adjacent areas; determine the short-term impact index of each time period in each area according to the similarity of the changes in the indoor temperature, CO2 concentration and VOCs concentration between the same time periods in adjacent areas, combined with the regional difference; determine the air conditioning intensity of each area according to the difference in indoor temperature at all times between different areas, combined with the short-term impact index; obtain the duty cycle of the PWM controller in the air conditioning equipment of each area;

[0045] The equipment adjustment control module is used to adjust the speed of the fan motor through the PWM controller of the air conditioning equipment according to the duty cycle of the PWM controller in the air conditioning equipment, so as to adjust the temperature and purify the air in each area.

[0046] In a third aspect, an embodiment of the present application further provides an energy-saving adjustment system for a building environment, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of any one of the above-mentioned energy-saving adjustment methods for the building environment are implemented.

[0047] This application has at least the following beneficial effects:

[0048] The present application determines the potential impact coefficient of each time period of each area according to the indoor and outdoor temperature difference and the distribution of outdoor wind speed at different times in each time period of each area. The beneficial effect lies in that the impact of outdoor temperature and outdoor wind speed on indoor environment is taken into account. The regional difference of each time period of each area is determined according to the fluctuation difference of indoor temperature, CO2 concentration and VOCs concentration in the same time period between each area and other adjacent areas, and the difference of the potential impact coefficient between adjacent areas in the same time period. The short-term impact index of each time period of each area is determined according to the similarity of the changes of indoor temperature, CO2 concentration and VOCs concentration in the same time period between each area and other adjacent areas, combined with the regional difference. The beneficial effect lies in that the short-term impact index of each time period of each area is determined according to the fluctuation difference of indoor temperature, CO2 concentration and VOCs concentration in the same time period between each area and other adjacent areas, combined with the regional difference. The beneficial effect lies in that the short-term impact index of each time period of each area is analyzed according to the fluctuation difference of indoor temperature, CO2 concentration and VOCs concentration in the same time period between each area and other adjacent areas. The difference in the degree of influence of outdoor temperature and outdoor wind speed, as well as the inconsistent fluctuations of indoor temperature and the content of pollutants in the air, can reflect the mutual influence of air conditions between adjacent areas, so as to clarify the degree to which the air quality of different areas in the building is affected by other factors; according to the difference in indoor temperature at all times between different areas, combined with the short-term impact index, the air conditioning intensity of each area is determined; based on the air conditioning intensity, the duty cycle of the PWM controller in the air conditioning equipment in each area is obtained, and the air of the building environment is adjusted. The beneficial effect is to analyze the difference in air conditions in different areas and the affected conditions, so as to adopt different adjustment intensities for air conditioning in different areas, so as to reduce energy consumption, realize energy-saving adjustment of the building environment, and improve the efficiency of air conditioning in the building environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The energy-saving adjustment method for the building environment of the present application is further described in detail below with reference to the accompanying drawings.

[0050] Figure 1 A flowchart of the steps of the energy-saving adjustment method for the building environment provided in the embodiment of the present application;

[0051] Figure 2 A flowchart of the steps of the method for obtaining the potential impact coefficient of each time period of each area provided in an embodiment of the present application;

[0052] Figure 3A flowchart of the steps of a method for obtaining the regional difference degree of each time period of each region provided in an embodiment of the present application;

[0053] Figure 4 A flowchart of the steps of the energy-saving adjustment device for the building environment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the energy-saving adjustment method, device and system for the building environment proposed in the present application are further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] 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.

[0056] See also Figure 1 , which shows a flowchart of a method for energy-saving adjustment of a building environment provided by an embodiment of the present application, the method comprising the following steps:

[0057] Step 1: Obtain the outdoor wind speed, outdoor temperature, indoor temperature, CO2 concentration and VOCs concentration of each area inside the building at each time.

[0058] In large buildings, air conditioning equipment is generally used to adjust the indoor air in real time to ensure the improvement of the building environment quality. Therefore, in large buildings, air conditioning equipment will be installed in every other area to ensure that the building environment of each local area can be quickly adjusted.

[0059] The spatial area with a neighborhood radius of R, centered on each air conditioning device in a large building, is regarded as a region. The indoor temperature, CO2 concentration, and VOCs concentration data in each region are collected using an air quality detector.

[0060] Secondly, the outdoor environment will be different in different areas of the building. For example, there may be a large temperature difference outside some building areas due to direct sunlight, or there may be a building area in the shade, and there may be a certain pressure difference outside some building areas due to being at the wind outlet and the wind speed is high. Since the indoor and outdoor temperature difference and outdoor wind speed will affect the indoor air quality and regulation rate, anemometers and temperature sensors are placed at the vents of each area to collect the outdoor wind speed and outdoor temperature of each area respectively; the collection time interval is t, and the collection time is T. The collected data is normalized to obtain the indoor temperature, CO2 concentration and VOCs concentration of each area at each time, as well as the outdoor wind speed and outdoor temperature of each area at each time.

[0061] Preferably, a spatial area with a neighborhood radius of 8 meters, with each air-conditioning device in a large building as the center, is regarded as an area; the collection time interval is 1s, the collection time is 15min, and all the collected data are normalized using the maximum and minimum method. As other implementation methods, the implementer can adopt other methods of the prior art, such as Z-Score standardization, etc. This embodiment does not impose any special restrictions on this.

[0062] It should be noted that the air between adjacent areas may affect each other. The areas in a large building that are spatially adjacent and where air can circulate are recorded as adjacent areas.

[0063] At this point, the indoor temperature, CO2 concentration and VOCs concentration of each area at each time in each collection cycle in the building environment, as well as the outdoor wind speed and outdoor temperature of each area at each time are obtained.

[0064] Step 2: Divide all time into multiple time periods; determine the potential impact coefficient of each time period in each area according to the indoor and outdoor temperature difference and the distribution of outdoor wind speed between different time periods in each area.

[0065] Normally, buildings are not completely closed, but are in a state of large or small ventilation, which results in air exchange and convection inside and outside the building. When the air circulation inside and outside the building increases significantly, it will affect the air conditioning strength of the building environment. For example, when the temperature difference between the inside and outside of the building is large, a large amount of air exchange will significantly reduce the temperature regulation efficiency inside the building.

[0066] When there is a significant temperature difference between the inside and outside of a building, the uneven air density causes the heat to transfer naturally and triggers convection between hot and cold air. At the same time, when the outdoor wind speed is high, a certain air pressure difference will be formed, which will cause the air inside and outside the building to circulate between each other. Therefore, one of the key factors affecting the building environment regulation is the change in the temperature difference between the inside and outside of the building and the outdoor wind speed. However, the outdoor environment will also be different in different areas of the building. Therefore, it is necessary to analyze the potential impact of the outdoor environment in each area on the indoor air conditioning.

[0067] Based on the above analysis, since the temperature difference or wind speed inside and outside the building may change rapidly in a short period of time, the data at all times are divided into time periods to better analyze their local change characteristics, specifically:

[0068] Divide all moments in each area into multiple time periods;

[0069] Preferably, in this embodiment, the data collected at all times are evenly divided into 5 time periods, that is, 3 minutes of data are collected every time as a time period. As for other implementation methods, the implementer can divide it according to the actual situation.

[0070] The difference between the indoor temperature and the outdoor temperature at each time in each time period of each area is taken as the temperature difference at each time in each time period of each area;

[0071] Preferably, in this embodiment, the absolute value of the difference between the indoor temperature and the outdoor temperature at each moment in each time period of each zone is taken as the temperature difference at each moment in each time period of each zone.

[0072] Furthermore, different wind speeds and temperature differences have different effects on the air state in the building area. The influence of wind speed and temperature difference on the air state under the combined effect is analyzed, and the potential influence coefficient is constructed, which is as follows:

[0073] The temperature difference at each time in each time period of each area and the outdoor wind speed at the corresponding time are combined into a two-dimensional array;

[0074] Using cluster analysis algorithm, all two-dimensional arrays in each time period of each region are clustered to obtain multiple clusters;

[0075] Preferably, in this embodiment, a local direction centrality clustering algorithm (Clustering by Measuring Local Direction Centrality, CDC) is used for cluster analysis, wherein the number of clusters is set to 2, and two cluster clusters are obtained; wherein, the local direction centrality clustering algorithm is a well-known technology and will not be described in detail here. As other implementation methods, implementers can adopt other methods of the prior art, such as hierarchical clustering algorithms, etc., and this embodiment does not impose any special restrictions on this.

[0076] The mean of the distances between each element in each cluster and all other elements in the corresponding cluster is recorded as the intra-cluster difference of each element in each cluster;

[0077] The mean of the distances between each element in each cluster and all elements in the remaining clusters is recorded as the inter-cluster difference of each element in each cluster;

[0078] Preferably, in this embodiment, the mean of the Manhattan distances between each element in each cluster and all other elements in the corresponding cluster is recorded as the intra-cluster difference of each element in each cluster; the mean of the Manhattan distances between each element in each cluster and all elements in other clusters is recorded as the inter-cluster difference of each element in each cluster; as other implementation methods, the implementer may adopt other methods of the prior art, such as Euclidean distance, etc., and this embodiment does not impose any special restrictions on this.

[0079] The ratio of the inter-cluster difference to the intra-cluster difference is recorded as a relative ratio;

[0080] All the relative ratios in each time period of each region are merged to determine the potential impact coefficient of each time period of each region;

[0081] It can be understood that the specific fusion relationship can be an addition relationship, a multiplication relationship, etc. The specific relationship is determined according to the actual scenario, and this embodiment does not impose any special restrictions on this.

[0082] Preferably, in this embodiment, the calculation method of the potential impact coefficient of each time period in each area is: ,in, For the Region The potential impact coefficient of the time period, , Respectively Region The time period The first The inter-cluster differences and intra-cluster differences of the elements; For the Region The time period The number of elements in a cluster, For the Region The number of clusters in a time period. In this embodiment, K=2. Is a relative ratio.

[0083] It should be noted that the smaller the intra-cluster difference, the closer the impact of the temperature difference and wind speed at the corresponding moment on the air state in the area is to that at other moments in the same cluster; the larger the inter-cluster difference, the greater the difference between the temperature difference and wind speed at the corresponding moment on the air state and that at the corresponding moment in other clusters; the larger the potential influence coefficient, the more likely the air state in the corresponding area of ​​the building is to be potentially affected by the external temperature and wind speed.

[0084] Further, the step flow chart of the method for obtaining the potential impact coefficient of each time period of each area provided in the embodiment of the present application is as follows: Figure 2 shown.

[0085] At this point, the potential impact coefficient of each region in each time period is obtained.

[0086] Step 3, according to the fluctuation differences of indoor temperature, CO2 concentration and VOCs concentration between each area and other adjacent areas in the same time period, and the differences of the potential influence coefficients between adjacent areas in the same time period, determine the regional differences of each area in each time period.

[0087] Due to the diversity of building layouts, the degree of air circulation varies, and the distribution of people in different areas is different. The more densely populated the area, the higher the content of CO2 and VOCs pollutants in the air. Therefore, the degree of change of air conditions in different areas of the building is inconsistent. Secondly, there may be mutual influence between adjacent areas, which leads to different air adjustment strengths in different areas.

[0088] Based on the above analysis, the change anomaly degree is constructed through the changes in indoor temperature, CO2 and VOCs concentrations in the air of each area to reflect the random fluctuation degree of indoor temperature, CO2 and VOCs concentrations in each period, specifically:

[0089] The fractal dimensions of indoor temperature, CO2 concentration and VOCs concentration at all times in each time period of each area are calculated respectively;

[0090] Preferably, in this embodiment, the Higuchi algorithm is used to obtain the fractal dimension of the indoor temperature, the fractal dimension of the CO2 concentration, and the fractal dimension of the VOCs concentration in each time period of each area, wherein the Higuchi algorithm is a well-known technology and will not be repeated here. As other implementation methods, the implementer can adopt other methods of the prior art, for example, the Hurst algorithm, the Detrended fluctuation analysis (DFA) algorithm, etc., and this embodiment does not impose any special restrictions on this.

[0091] The sum of the fractal dimensions of the indoor temperature, CO2 concentration and VOCs concentration in each time period of each area is taken as the abnormality of the change in each time period of each area;

[0092] It should be noted that the fractal dimension reflects the self-similarity of indoor temperature, CO2 concentration and VOCs concentration in each time period, as well as the randomness and irregularity of changes. For example, the larger the fractal dimension of VOCs concentration, the weaker the self-similarity of VOCs concentration in each time period, and the more random and irregular its changes, indicating that there are large random fluctuations in the VOCs pollutant content in the air in the corresponding area; the greater the abnormality of the change, the greater the degree of random change in the pollutant content in the air in the corresponding area in a short period of time.

[0093] Furthermore, the difference in air conditions between adjacent areas in space where air can circulate is analyzed to construct the regional difference degree, which is:

[0094] The difference in the potential impact coefficient between each region and the other adjacent regions in the same time period is recorded as the first difference;

[0095] The difference in the abnormality of each region and the other adjacent regions in the same time period is recorded as the second difference;

[0096] In this embodiment, the absolute value of the difference between the potential impact coefficient of each region and the remaining adjacent regions in the same time period is recorded as the first difference; the absolute value of the difference between the abnormality of the change of each region and the remaining adjacent regions in the same time period is recorded as the second difference.

[0097] Calculate the product of the first difference and the second difference, and record it as a difference product; calculate the average of the difference products between each region and all its adjacent regions in each time period as the regional difference degree of each region in each time period;

[0098] Preferably, in this embodiment, the absolute value of the difference between the potential impact coefficient of each region and its adjacent regions in the same time period is recorded as the first difference; the absolute value of the difference between the change abnormality degree of each region and its adjacent regions in the same time period is recorded as the second difference.

[0099] It should be noted that the larger the first difference, the more the air conditions between adjacent areas are potentially affected by external temperature and wind speed; the larger the second difference, the greater the random changes in the content of pollutants in the air between adjacent areas in a short period of time; the larger the resulting regional difference, the more inconsistent the degree of change in the air conditions in each area is with its adjacent areas.

[0100] Furthermore, the step flow chart of the method for obtaining the regional difference degree of each time period of each region provided in the embodiment of the present application is as follows: Figure 3 shown.

[0101] At this point, the regional differences of each region in each time period are obtained.

[0102] Step 4, according to the similarity of the changes in indoor temperature, CO2 concentration and VOCs concentration between each area and the remaining adjacent areas in the same time period, combined with the regional differences, determine the short-term impact index of each area in each time period.

[0103] Furthermore, the closeness of the temperature or concentration data in the air between different areas can reflect the direct correlation of the air state at this time, and thus affect the intensity of air regulation. Therefore, the similarity of the changes in the concentration content in the air between adjacent areas is analyzed, specifically:

[0104] Determine the first similarity of each time period of each area according to the average of the similarity between the indoor temperatures of each area and all its adjacent areas at all times in the same time period;

[0105] For the CO2 concentration and VOCs concentration at all times in each time period of each region, the same method as the first similarity is used to obtain the second similarity and the third similarity of each time period of each region;

[0106] Preferably, in this embodiment, the average of the absolute values ​​of the Pearson correlation coefficients of the indoor temperatures of each area and all its adjacent areas at all times in the same time period is determined as the first similarity of each time period of each area. As other implementation methods, the implementer can use other methods of the prior art to measure the degree of similarity, such as cosine similarity, etc. This embodiment does not impose any special restrictions on this.

[0107] Taking the first similarity, the second similarity and the average of the second similarity as the short-term similarity coefficient of each time period of each region;

[0108] The ratio of the regional difference to the short-term similarity coefficient is used as the short-term impact index of each region in each time period;

[0109] It should be noted that the greater the regional difference, the more inconsistent the degree of change in the air conditions between each region and its adjacent regions; the smaller the short-term similarity coefficient, the greater the difference in air quality between each region and its adjacent regions, and the larger the resulting short-term impact index, the more complex the air circulation conditions in the corresponding region, and the more likely it is to be affected by the differences in air quality in nearby adjacent regions.

[0110] At this point, the short-term impact index of each region in each time period is obtained.

[0111] Step 5, according to the difference of indoor temperature between different areas at all times, combined with the short-term impact index, determine the air conditioning intensity of each area; based on the air conditioning intensity, obtain the duty cycle of the PWM controller in the air conditioning equipment of each area to adjust the air of the building environment.

[0112] The internal air environment of large buildings is complex and changeable. The air between adjacent areas may gradually become consistent due to mutual influence, but there may still be large differences between areas at a longer distance. Air conditioning equipment is needed to maintain the stability and synchronization of the air state of the entire building. Therefore, the air conditioning intensity is determined based on the air state of all areas in the building and the differences in possible influences to reflect the intensity of air conditioning, specifically:

[0113] The mean of the difference between the indoor temperature of each area and all other areas at all times is recorded as the first mean;

[0114] The mean of the short-term impact index of all time periods in each region is recorded as the second mean;

[0115] Preferably, in this embodiment, the mean of the EMD edit distances of the indoor temperature between each area and all other areas at all times is recorded as the first mean, wherein the EMD edit distance is a well-known technology and will not be described in detail here. As other implementation methods, implementers can adopt other methods of the prior art, such as DTW distance, etc., and this embodiment does not impose any special restrictions on this.

[0116] The product of the first mean and the second mean is used as the air conditioning intensity of each area;

[0117] It should be noted that the larger the first mean, the greater the difference in air conditions between different areas; the larger the second mean, the greater the impact of environmental differences on the air in that area; the greater the resulting air conditioning intensity, the greater the difference in air conditions and change characteristics between the corresponding area and other areas; and the air conditioning intensity in that area should be increased.

[0118] Based on the air conditioning intensity, a duty cycle of a PWM (Pulse Width Modulation) controller of the air conditioning device is determined to adjust the speed of the fan motor, specifically:

[0119] Normalizing the air conditioning intensity of all areas, and using the normalized result as the duty cycle of the PWM controller in the air conditioning equipment of each area;

[0120] Preferably, in this embodiment, the maximum and minimum method is used for normalization processing. As other implementation methods, the implementer can adopt other methods in the prior art, such as Z-Score standardization, etc. This embodiment does not impose any special restrictions on this.

[0121] According to the duty cycle of the PWM controller in the air conditioning equipment in each area, the speed of the fan motor is adjusted by the PWM controller of the air conditioning equipment to adjust the temperature and purify the air in each area, thereby improving the ambient air quality in each area.

[0122] It should be noted that the larger the air conditioning intensity value, the greater the difference in air state and change characteristics, and the need to increase the air conditioning intensity. The higher the corresponding duty cycle, the faster the fan motor speed. It is a well-known technology to adjust the fan motor speed through the duty cycle of the PWM controller in the air conditioning equipment and will not be repeated here.

[0123] The present application also provides an energy-saving adjustment device for a building environment, the device comprising:

[0124] The data acquisition module is used to obtain the outdoor wind speed, outdoor temperature, indoor temperature, CO2 concentration and VOCs concentration of each area inside the building at each time;

[0125] The environmental analysis module is used to divide all time periods into multiple time periods; determine the potential impact coefficient of each time period in each area according to the difference in the temperature difference between the inside and outside of each area at different times and the distribution difference of the outdoor wind speed in each time period; determine the regional difference of each time period in each area according to the difference in the potential impact coefficient between the same time periods in adjacent areas and the difference in the fluctuation of the indoor temperature, CO2 concentration and VOCs concentration between the same time periods in adjacent areas; determine the short-term impact index of each time period in each area according to the similarity of the changes in the indoor temperature, CO2 concentration and VOCs concentration between the same time periods in adjacent areas, combined with the regional difference; determine the air conditioning intensity of each area according to the difference in indoor temperature at all times between different areas, combined with the short-term impact index; obtain the duty cycle of the PWM controller in the air conditioning equipment of each area;

[0126] The equipment adjustment control module is used to adjust the speed of the fan motor through the PWM controller of the air conditioning equipment according to the duty cycle of the PWM controller in the air conditioning equipment, so as to adjust the temperature and purify the air in each area.

[0127] Further, the step flow chart of the energy-saving adjustment device for the building environment provided by the embodiment of the present application is as follows: Figure 4 shown.

[0128] Based on the same inventive concept as the above method, an embodiment of the present application also provides an energy-saving adjustment system for a building environment, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above-mentioned energy-saving adjustment methods for the building environment when executing the computer program.

[0129] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0130] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0131] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the present application. It should be pointed out that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application without departing from the content of the technical solution of the present application, shall fall within the protection scope of the technical solution of the present application.

Claims

1. A method for energy-saving regulation of a building environment, characterized in that: The method comprises the following steps: Obtain the outdoor wind speed, outdoor temperature, indoor temperature, CO2 concentration and VOCs concentration of each area inside the building at each time; Divide all moments into time periods; The difference between the indoor temperature and the outdoor temperature at each time in each time period of each area is taken as the temperature difference at each time in each time period of each area; The temperature difference at each time in each time period of each area and the outdoor wind speed at the corresponding time are combined into a two-dimensional array; Using cluster analysis algorithm, all two-dimensional arrays in each time period of each region are clustered to obtain multiple clusters; Analyze the distance relationship between each element in each cluster and the other elements in the corresponding cluster and the elements in other clusters respectively, and determine the intra-cluster difference and inter-cluster difference of each element in each cluster; The ratio of the inter-cluster difference to the intra-cluster difference is recorded as a relative ratio; All the relative ratios in each time period of each region are merged to determine the potential impact coefficient of each time period of each region; Analyze the fluctuation differences of indoor temperature, CO2 concentration and VOCs concentration between each area and other adjacent areas in the same time period, and determine the abnormality of changes in each time period of each area; The difference in the potential impact coefficient between each region and the other adjacent regions in the same time period is recorded as the first difference; The difference in the abnormality of each region and the other adjacent regions in the same time period is recorded as the second difference; Calculate the product of the first difference and the second difference, and record it as a difference product; take the average of the difference products between each region and all its adjacent regions in each time period as the regional difference degree of each region in each time period; According to the similarity of the changes in indoor temperature, CO2 concentration and VOCs concentration between each area and the other adjacent areas in the same time period, combined with the regional differences, the short-term impact index of each area in each time period is determined; According to the difference in indoor temperature at all times between different areas, combined with the short-term impact index, the air conditioning intensity of each area is determined; based on the air conditioning intensity, the duty cycle of the PWM controller in the air conditioning equipment of each area is obtained to adjust the air of the building environment.

2. The energy-saving adjustment method for building environment according to claim 1, characterized in that: The determining of the intra-cluster difference and inter-cluster difference of each element in each cluster includes: The mean of the distances between each element in each cluster and all other elements in the corresponding cluster is recorded as the intra-cluster difference of each element in each cluster; The mean of the distances between each element in each cluster and all elements in the remaining clusters is recorded as the inter-cluster difference of each element in each cluster.

3. The energy-saving adjustment method for building environment according to claim 1, characterized in that: Determining the abnormality of changes in each time period of each area includes: The fractal dimensions of indoor temperature, CO2 concentration and VOCs concentration at all times in each time period of each area are calculated respectively; The sum of the fractal dimensions of the indoor temperature, CO2 concentration and VOCs concentration in each time period of each area is taken as the abnormality of the change in each time period of each area.

4. The energy-saving adjustment method for building environment according to claim 1, characterized in that: Determining the short-term impact index of each region in each time period includes: Analyze the similarity of indoor temperature, CO2 concentration, and VOCs concentration changes in each area and its adjacent areas in the same time period, and determine the first similarity, second similarity, and third similarity of each time period in each area; Taking the first similarity, the second similarity and the average of the second similarity as the short-term similarity coefficient of each time period of each region; The ratio of the regional difference to the short-term similarity coefficient is used as the short-term impact index of each region in each time period.

5. The energy-saving adjustment method for building environment according to claim 4, characterized in that: The determining of the first similarity, the second similarity, and the third similarity of each time period of each area includes: Determine the first similarity of each time period of each area according to the average of the similarity between the indoor temperatures of each area and all its adjacent areas at all times in the same time period; For the CO2 concentration and VOCs concentration at all times in each time period of each region, the same method as the first similarity is used to obtain the second similarity and the third similarity in each time period of each region.

6. The energy-saving adjustment method for building environment according to claim 1, characterized in that: Determining the air conditioning intensity of each area; Based on the air conditioning intensity, a duty cycle of a PWM controller in the air conditioning equipment of each area is obtained, including: The mean of the difference between the indoor temperature of each area and all other areas at all times is recorded as the first mean; The mean of the short-term impact index of all time periods in each region is recorded as the second mean; The product of the first mean and the second mean is used as the air conditioning intensity of each area; The air conditioning intensity of all areas in each acquisition period is normalized and determined as the duty cycle of the PWM controller in the air conditioning equipment of each area.

7. An energy-saving regulating device for a building environment, implementing the method as claimed in claim 1, characterized in that: The device comprises: The data acquisition module is used to obtain the outdoor wind speed, outdoor temperature, indoor temperature, CO2 concentration and VOCs concentration of each area inside the building at each time; The environmental analysis module is used to divide all time periods into multiple time periods; determine the potential impact coefficient of each time period in each area according to the difference in the temperature difference between the inside and outside of each area at different times and the distribution difference of the outdoor wind speed in each time period; determine the regional difference of each time period in each area according to the difference in the potential impact coefficient between the same time periods in adjacent areas and the difference in the fluctuation of the indoor temperature, CO2 concentration and VOCs concentration between the same time periods in adjacent areas; determine the short-term impact index of each time period in each area according to the similarity of the changes in the indoor temperature, CO2 concentration and VOCs concentration between the same time periods in adjacent areas, combined with the regional difference; determine the air conditioning intensity of each area according to the difference in indoor temperature at all times between different areas, combined with the short-term impact index; obtain the duty cycle of the PWM controller in the air conditioning equipment of each area; The equipment adjustment control module is used to adjust the speed of the fan motor through the PWM controller of the air conditioning equipment according to the duty cycle of the PWM controller in the air conditioning equipment, so as to adjust the temperature and purify the air in each area.

8. An energy-saving regulation system for a building environment, 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 energy-saving adjustment method for the building environment as described in any one of claims 1-6 are implemented.

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