Office environment regulation and control method and system for multi-modal intelligent perception

Abstract

The application provides an office environment regulation and control method and system for multi-modal intelligent sensing, and belongs to the technical field of regulation and management, and specifically comprises the following steps: determining a temperature regulation and control area in a monitoring target sub-area according to a human flow stable period in the monitoring target sub-area and a coincidence degree of the human flow stable period; determining a temperature regulation and control strategy of the temperature regulation and control area based on temperature regulation and control area data and in combination with shortage period data of different time periods in different dates; performing temperature regulation processing in different temperature regulation and control areas by using the temperature regulation and control strategy; and determining an optimization processing target of the temperature regulation and control strategy of the temperature regulation and control area according to a change of a shortage risk period in different dates and the temperature regulation and control strategy, so that the reliability of the temperature regulation processing is improved.

Description

Technical Field

[0001] This invention belongs to the field of regulation and management technology, and in particular relates to a method and system for regulating and controlling office environment based on multimodal intelligent sensing. Background Technology

[0002] In modern office environments, employees have increasingly higher demands for work comfort, encompassing multiple dimensions such as temperature, humidity, air quality (CO2 concentration, PM2.5), light intensity, and noise levels. Meanwhile, energy management of office spaces (air conditioning, lighting, and ventilation systems) is also a crucial aspect of controlling enterprise operating costs.

[0003] In existing technical solutions for adjusting the office environment, the start and stop times of air conditioning and lighting, as well as temperature / illuminance setpoints, are often preset and executed automatically according to a schedule. This solution is simple to implement and is the basic control method for most office buildings. However, it has the following technical drawbacks: When regulating the temperature in an office environment, if the central air conditioning system simultaneously regulates the temperature in multiple sub-areas, there may be a load shortage, making it difficult to meet the reliability requirements of temperature regulation. Therefore, how to monitor the flow of people in different sub-areas and adjust the temperature in some areas in advance based on the monitoring results, thereby improving the reliability of temperature regulation, has become an urgent technical problem to be solved.

[0004] In summary, to address the aforementioned technical issues, this application provides a method and system for regulating and controlling the office environment based on multimodal intelligent sensing. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, in the first aspect, this application provides a method for regulating and controlling the office environment based on multimodal intelligent sensing, which specifically includes: S1 uses monitoring data of the air conditioning system to determine the shortage of air conditioning load at different times, and uses the distribution data of the shortage of air conditioning load at different dates to determine the monitoring and management method of people flow in different sub-areas of the office area. S2 determines the monitoring target sub-region in the sub-region based on the monitoring and management method, determines the stable period of pedestrian flow in the monitoring target sub-region based on the change data of pedestrian flow in different monitoring target sub-regions, and determines the temperature regulation and control area in the monitoring target sub-region based on the stable period of pedestrian flow in different monitoring target sub-regions and the degree of overlap of the stable period of pedestrian flow. S3 uses the temperature regulation control area data as a basis, and combines it with the shortage period data of different time periods on different dates, to determine the temperature regulation control strategy of the temperature regulation control area. S4 utilizes the temperature regulation control strategy to perform temperature regulation processing in different temperature regulation control areas. Based on the changes in the shortage risk period on different dates and the temperature regulation control strategy, the optimization processing target of the temperature regulation control strategy for the temperature regulation control area is determined.

[0006] The beneficial effects of this invention are as follows: By analyzing the distribution data of air conditioning load shortage periods on different dates, the risk of air conditioning load shortage on different dates can be determined. Based on the risk of air conditioning load shortage on different dates, the monitoring and management methods for pedestrian flow in sub-regions can be determined, i.e., which sub-regions should be monitored and analyzed for pedestrian flow. This lays the foundation for targeted optimization and adjustment of air conditioning based on changes in pedestrian flow.

[0007] By analyzing the variations in shortage risk periods across different dates, the severity of shortage risk periods after implementing temperature regulation control measures is determined. Furthermore, considering the temperature regulation control strategy, the stringency of current temperature regulation control measures is determined. Using the severity of shortage risk periods after implementing temperature regulation control measures and the stringency of current temperature regulation control measures, the optimization target of the temperature regulation control strategy for the temperature regulation control area is determined, thereby further reducing shortage risk periods. At the same time, a balanced optimization process is achieved that reduces shortage risk periods while maintaining the stability of temperature control.

[0008] Furthermore, the shortage of air conditioning load is determined based on the time period during which the air conditioner is at its rated load.

[0009] Furthermore, the method for determining the monitoring and management method for pedestrian flow in the sub-region is as follows: S11 uses the distribution data of the shortage period of air conditioning load on different dates to determine the duration proportion of the shortage period on different dates; S12 determines the shortage risk weight value of the time period based on the proportion of the shortage period in different dates; S13 determines the monitoring and management method for pedestrian flow in the sub-area based on the shortage risk weight values ​​at different time periods.

[0010] Furthermore, the method for determining the optimization target of the temperature regulation control strategy in the temperature regulation control area is as follows: S41 determines the percentage of the total duration of the shortage risk period on the stated date based on the variation of the shortage risk period on different dates; S42 uses the total duration percentage to determine the dates affected by the shortage among the dates; S43 uses the shortage-affected dates in the stated dates, the total duration of shortage-risk periods in different dates, and the stated temperature regulation control strategy to determine the optimization target of the temperature regulation control strategy for the temperature regulation control area.

[0011] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for regulating and controlling an office environment oriented towards multimodal intelligent perception when running the computer program.

[0012] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0013] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0014] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0015] Figure 1 It is a flowchart of a data processing method; Figure 2 This is a flowchart illustrating the method for determining the monitoring and management of pedestrian traffic in a sub-region; Figure 3 This is a flowchart illustrating the method for determining the temperature regulation and control area within the monitoring target sub-region; Figure 4 This is a flowchart illustrating the method for determining the temperature control strategy for a temperature regulation control zone. Detailed Implementation

[0016] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0017] Example 1 The core objective of this embodiment is to analyze the distribution data of air conditioning load shortage periods to determine the monitoring and management methods for pedestrian traffic in sub-regions, thereby identifying sub-regions requiring key monitoring. Then, based on stable pedestrian traffic periods and their overlap, it determines temperature regulation control areas. Next, based on the number of control areas and shortage risk period data, it determines temperature regulation control strategies. Finally, based on the changes in shortage risk periods and the control strategies, it determines optimization targets. Its core logic uses air conditioning monitoring data as input. First, it determines the monitoring and management methods through shortage risk weight values. Then, it determines the temperature regulation control areas through stable pedestrian traffic periods and their overlap. Next, it determines the temperature regulation control strategies through adjustment adaptation coefficients and the proportion of control areas. Finally, it determines the optimization targets through shortage impact values ​​and control strategy types. The overall logic follows the process of "determining monitoring and management methods → determining temperature regulation control areas → determining temperature regulation control strategies → determining optimization targets."

[0018] like Figure 1 As shown, this application provides a method for regulating and controlling the office environment based on multimodal intelligent sensing, specifically including: S1 uses monitoring data of the air conditioning system to determine the shortage of air conditioning load at different times, and uses the distribution data of the shortage of air conditioning load at different dates to determine the monitoring and management method of people flow in different sub-areas of the office area. Furthermore, the shortage of air conditioning load is determined based on the time period during which the air conditioner is at its rated load.

[0019] Specifically, such as Figure 2 As shown, the method for determining the monitoring and management method for pedestrian flow in the sub-region is as follows: In this application, the distribution data of air conditioning load shortage periods on different dates is used to determine the air conditioning load shortage risk on different dates. Based on the air conditioning load shortage risk on different dates, the monitoring and management method of pedestrian flow in sub-regions is determined, that is, which sub-regions will be monitored and analyzed for pedestrian flow. This lays the foundation for targeted optimization and adjustment of air conditioning based on changes in pedestrian flow.

[0020] The aforementioned shortage risk situation refers to the degree of risk that air conditioners may be unable to meet additional load demands due to full load at different times; the aforementioned monitoring and management method refers to the decision-making rules for determining which sub-areas to monitor and analyze pedestrian traffic.

[0021] If air conditioners are at full capacity on multiple dates during a certain period, it indicates a high risk of shortage during that period. In such cases, it is necessary to monitor pedestrian traffic in the relevant sub-areas to implement load control in advance in areas with stable pedestrian traffic.

[0022] S11, using the distribution data of the shortage period of air conditioning load on different dates, determine the duration proportion of the shortage period on different dates for the time period; The percentage of time spent in shortage = the length of time a certain period is fully booked on a certain date / the total length of that period, reflecting the degree of shortage in that period on that date.

[0023] If a certain time period is 2 hours, and the air conditioner is fully loaded for 1.5 hours, then the proportion of the time period with shortages on that date is 1.5 / 2 = 0.75.

[0024] By calculating the percentage of time periods with shortages, the degree of shortage in each period is quantified into a comparable ratio, providing basic data for the subsequent calculation of shortage risk weight values.

[0025] S12, Based on the proportion of the duration of the shortage period in different dates, determine the shortage risk weight value of the period; It is understood that the shortage risk weight value of the time period is determined based on the average of the duration of the shortage period on different dates.

[0026] The shortage risk weight value is the average percentage of the duration of shortage periods on different dates within a certain time period, reflecting the overall shortage risk level during that period.

[0027] Assuming that the proportion of the shortage period in the five dates is 0.75, 0.60, 0.50, 0.80, and 0.65 respectively, then the shortage risk weight is (0.75+0.60+0.50+0.80+0.65) / 5=0.66.

[0028] By calculating the average of the duration proportions, the shortage risk weight value is quantified into a comparable weight value for each time period, providing a quantitative basis for determining the classification of subsequent monitoring and management methods.

[0029] S13, Based on the shortage risk weight values ​​at different time periods, determine the monitoring and management method for pedestrian flow in the sub-area.

[0030] It is understandable that the method for monitoring and managing pedestrian flow in the sub-area is determined based on the shortage risk weight values ​​at different time periods, specifically including: Case 1: If the average value of the shortage risk weight value in different time periods is greater than the preset weight threshold, then the monitoring and management method for pedestrian flow in the sub-region is determined to be to monitor and process pedestrian flow in the sub-region of the target type. The preset weight threshold refers to the critical value used to determine whether the average weight value of the shortage risk is high. When the average value is high, the overall shortage risk is high, and pedestrian flow monitoring is performed in the sub-regions of the target type.

[0031] The target type of sub-region is a sub-region where the deviation rate of the air conditioner load is less than a preset deviation rate threshold between different dates and different time periods, that is, a sub-region where the air conditioner load is relatively stable.

[0032] If the average weight value of the shortage risk in each time period exceeds the preset weight threshold, it indicates that the overall shortage risk is high. In this case, traffic flow monitoring is carried out in the sub-area where the air conditioning load is relatively stable, thereby laying the foundation for targeted temperature adjustment in the above-mentioned areas in advance.

[0033] Scenario 2: If the average value of the shortage risk weight value in different time periods is not greater than the preset weight threshold, the time period with the shortage risk weight value greater than the preset weight threshold is taken as the shortage risk time period. It is then determined whether the total duration of the shortage risk time period meets the requirements. If yes, it indicates that the total duration of the shortage risk time period is low and there is a shortage risk time period. Therefore, the monitoring and management method for the flow of people in the sub-region is determined to be to monitor and process the flow of people in the sub-region of the second target type. If not, the monitoring and management method for the flow of people in the sub-region is determined to be to monitor and process the flow of people in the sub-region of the target type.

[0034] The term "meeting the requirements" means that the total duration of the shortage risk period does not exceed a preset total duration threshold, i.e., the total duration is low. The second target type of sub-region is a sub-region in which the deviation rate of the air conditioner load between different time periods on different dates is less than a preset deviation rate threshold, and there is no time period in which the proportion of the air conditioner load in the total load is greater than a preset load proportion threshold, i.e., a sub-region with stable load and no single time period with a high proportion.

[0035] If the overall shortage risk is not high but there are periods of shortage risk with a low total duration, then traffic flow monitoring will be conducted in the sub-region of the second target type. If the total duration is high, then monitoring will be resumed in the sub-region of the target type.

[0036] When the overall shortage risk is not high, the monitoring scope is further refined based on the total duration of the shortage risk period. When the overall risk is not high but there are some risk periods, the monitoring scope is dynamically selected between the second target type and the target type sub-region based on the total duration of the risk period, so as to achieve a precise match between the monitoring method and the shortage risk.

[0037] It should be noted that when there is no period of shortage risk, there is no need to monitor and process the flow of people.

[0038] This embodiment realizes a complete process from calculating the proportion of shortage period duration to determining the shortage risk weight value and then determining the monitoring and management method. The overall shortage risk is assessed by the average of the shortage risk weight values. When the risk is high, monitoring is carried out in the target type sub-region. The monitoring scope is further refined when the overall risk is not high by judging the total duration of the shortage risk period. When the total duration is low, monitoring is carried out in the second target type sub-region. When there is no shortage risk period, no monitoring is required, thereby achieving a precise match between the monitoring method and the shortage risk.

[0039] An office area is divided into 5 sub-areas A1 to A5, and each day is divided into 4 time periods T1 (8:00-10:00), T2 (10:00-12:00), T3 (13:00-15:00), and T4 (15:00-17:00), for a total of N days.

[0040] Shortage risk weight values ​​for each time period: T1=0.66; T2=0.30; T3=0.66; T4=0.18, etc. for N dates; Step S13: Mean value of shortage risk weight = 0.45.

[0041] Determine if the mean value of 0.45 is greater than the preset weight threshold of 0.40: If 0.45 is greater than 0.40, it belongs to case 1, and the monitoring and management method is determined to be to monitor and process the flow of people in the sub-region of the target type.

[0042] The target type sub-regions are those where the air conditioning load deviation rate is less than 0.15 between different time periods on different dates. Statistically, A1 and A3 meet the target type criteria; therefore, pedestrian flow monitoring and processing will be carried out in A1 and A3.

[0043] S2 determines the monitoring target sub-region in the sub-region based on the monitoring and management method, determines the stable period of pedestrian flow in the monitoring target sub-region based on the change data of pedestrian flow in different monitoring target sub-regions, and determines the temperature regulation and control area in the monitoring target sub-region based on the stable period of pedestrian flow in different monitoring target sub-regions and the degree of overlap of the stable period of pedestrian flow. Furthermore, the data on changes in pedestrian traffic in the monitored target sub-area are determined based on the changes in pedestrian traffic in the monitored target sub-area at different times and on different dates.

[0044] It is understandable that, such as Figure 3 As shown, the method for determining the temperature regulation and control area within the monitored target sub-region is as follows: In this embodiment, the temperature regulation control area in the monitoring target sub-area is determined by using the change data of pedestrian flow in different monitoring target sub-areas and the degree of overlap of the stable pedestrian flow periods between the monitoring target sub-areas. This realizes the assessment of the stability of the operating load of the air conditioning unit from the perspective of the risk of changes in pedestrian flow in different monitoring target sub-areas. Based on the stability of the operating load of the air conditioning unit, the temperature regulation control area in the monitoring target sub-area is determined, thereby reducing the period of air conditioning unit shortage risk while ensuring the regulation reliability of the air conditioning unit.

[0045] If a certain monitoring target sub-area has relatively stable pedestrian traffic in multiple time periods, and the stable pedestrian traffic periods of other monitoring target sub-areas overlap significantly, then this sub-area can be used as a temperature regulation and control area for advance temperature regulation.

[0046] By assessing the stability of air conditioning load through data on changes in pedestrian traffic and the degree of overlap with stable time periods, and based on this, determining the temperature regulation control area, the risk of shortage periods can be reduced while ensuring the reliability of regulation.

[0047] S21, using the pedestrian flow change data in different monitoring target sub-areas, determine the pedestrian flow change in the monitoring target sub-area for each time period between different dates, and based on the pedestrian flow change, determine the stable pedestrian flow period in the monitoring target sub-area; Specifically, the stable period of pedestrian flow is the period in the monitored target sub-region where the changes in pedestrian flow between different dates meet the requirements, that is, the period in which the average deviation rate of pedestrian flow between different dates is less than a threshold.

[0048] The period of stable pedestrian flow refers to the period in which the average pedestrian flow deviation rate of a certain monitoring target sub-area is lower than the preset pedestrian flow deviation rate threshold during different days in a certain period, indicating that the pedestrian flow is relatively stable during this period.

[0049] Assuming that the average pedestrian flow deviation rate of a certain sub-region during the 5 days of time period T1 is 0.08, which is lower than the preset pedestrian flow deviation rate threshold of 0.15, then T1 is the stable period of pedestrian flow in that sub-region. By filtering the stable period of pedestrian flow through the average pedestrian flow deviation rate, the stability of pedestrian flow in each sub-region is quantified into a time period-level judgment result.

[0050] It is understood that if the number of stable periods of pedestrian traffic in the monitored target sub-area is less than the preset threshold for the number of stable periods, then the monitored target sub-area is determined not to belong to the temperature regulation and control area.

[0051] It is also understood that if the number of stable periods of pedestrian traffic in the monitored target sub-area is not less than the preset threshold for the number of stable periods, then proceed to step S22. For example, if a sub-area has only one period of stable traffic, which is less than the preset threshold of two stable periods, then the sub-area does not belong to the temperature regulation control area.

[0052] S22, Based on the degree of overlap between the stable periods of pedestrian flow among the monitored target sub-regions, determine the monitored target sub-regions that belong to the stable periods of pedestrian flow in different time periods; The degree of overlap refers to the degree of temporal overlap between stable pedestrian flow periods in different monitoring target sub-areas. The more monitoring target sub-areas that fall within a stable pedestrian flow period in a given time period, the more stable the pedestrian flow in multiple sub-areas is during that time period.

[0053] Assuming that time period T1 is the period of stable pedestrian flow between A1 and A3, there are two monitoring target sub-regions in T1 that belong to the period of stable pedestrian flow. By determining the degree of overlap of stable pedestrian flow periods, stable sub-regions in each time period are identified, and a stable relationship network between time periods and sub-regions is constructed to provide structured data for the subsequent determination of temperature regulation and control areas.

[0054] S23, determine the temperature regulation and control area in the monitoring target sub-area based on the stable period of pedestrian flow in different monitoring target sub-areas and the monitoring target sub-areas that belong to the stable period of pedestrian flow in different time periods.

[0055] It is understood that the temperature regulation and control area within the monitoring target sub-areas is determined by the stable periods of pedestrian traffic in different monitoring target sub-areas and the monitoring target sub-areas that belong to the stable periods of pedestrian traffic in different time periods, specifically including: Scenario 1: If the average number of people in different monitoring target sub-areas during stable periods is less than the preset stable period number threshold, then the fluctuation of people in different monitoring target sub-areas is large and the risk of load fluctuation is high. Therefore, the temperature regulation and control area in the monitoring target sub-area is determined to be the monitoring target sub-area where the number of people in stable periods is above the preset number threshold and the proportion of the number of monitoring target sub-areas belonging to stable periods is above the preset stable area proportion threshold. Scenario 1 refers to the determination of temperature regulation and control areas when the average number of people during stable periods is not high. In this case, the flow of people fluctuates significantly, requiring the addition of a stable area percentage condition to filter the control areas. The preset quantity threshold refers to the critical value for judging whether the number of people during stable periods is relatively high. The preset stable area percentage threshold refers to the critical value for judging whether the proportion of people belonging to stable sub-areas within a certain sub-area during stable periods is relatively high.

[0056] If the average number of people during stable periods in each sub-area is lower than the preset threshold for the number of people during stable periods, it indicates that the flow of people is fluctuating significantly. In this case, the sub-area where the number of people during stable periods exceeds the preset threshold and the proportion of stable areas exceeds the preset threshold for the proportion of stable areas will be designated as temperature regulation and control areas.

[0057] When the average number of people is low during periods of stable traffic, the control area is selected by adding a stable area percentage condition. When the traffic fluctuates greatly, the area that truly needs to be controlled is accurately selected through dual conditions, thereby avoiding the situation where the air conditioning is poorly operated due to premature temperature adjustment when the air conditioning load fluctuates greatly.

[0058] Scenario 2: If the average number of people in different monitoring target sub-regions during stable periods is not less than the preset stable period number threshold, then the stable weight value of people flow is determined based on the average proportion of the number of monitoring target sub-regions belonging to stable periods of people flow in different periods. It is then determined whether the stable weight value of people flow is greater than the preset stable weight threshold. If so, the temperature regulation and control area in the monitoring target sub-region is determined to be a monitoring target sub-region where the number of stable periods of people flow is above the preset number threshold. If not, the temperature regulation and control area in the monitoring target sub-region is determined to be a monitoring target sub-region where the number of stable periods of people flow is above the preset number threshold, and there are multiple monitoring target sub-regions belonging to stable periods of people flow in different stable periods of people flow.

[0059] The stability weight value for pedestrian flow is the average percentage of the number of monitored target sub-areas belonging to stable pedestrian flow periods in different time periods. When the stability weight value is high, the pedestrian flow in multiple sub-areas is stable in most time periods, and only the number of stable pedestrian flow periods needs to be used as a filtering condition; when it is low, the condition that multiple stable sub-areas exist in each stable period is added.

[0060] If the stability weight value exceeds the preset stability weight threshold, it indicates that the flow of people in multiple sub-areas is stable for most periods of time. In this case, the sub-areas with a number of stable periods of people flow exceeding the preset number threshold are designated as temperature regulation and control areas.

[0061] When the average number of people is relatively high during periods of stable traffic flow, the screening criteria can be further refined by using stable weight values. The significance of this is that when the traffic flow does not change much, the selection can be made dynamically between single and additional conditions based on stable weight values. When the air conditioning load is relatively stable, adjustments can be made in advance as much as possible to reduce the risk of shortages.

[0062] This embodiment realizes a complete process from determining stable periods of pedestrian flow to assessing the degree of overlap and then determining temperature regulation and control areas. It filters out sub-areas with insufficient stable periods by using the number of stable periods of pedestrian flow; it judges the overall risk of pedestrian flow changes by using the average number of stable periods of pedestrian flow, and adds the stable area proportion condition to accurately filter control areas when the risk is high; it further refines the screening conditions by using stable weight values, and dynamically adjusts the screening strictness according to the stable weight values ​​when the risk is not high.

[0063] Continuing with the calculation results of S1, the target sub-regions to be monitored are A1 and A3.

[0064] Stable periods of pedestrian traffic in each monitored target sub-area (periods with mean deviation rate <0.15): A1: T1 (mean deviation rate 0.08) and T3 (mean deviation rate 0.10) are stable periods. The mean deviation rates for T2 and T4 are 0.22 and 0.18 respectively, which do not meet the requirements. The stable periods for pedestrian flow in A1 are T1 and T3, a total of 2.

[0065] A3: T1 (mean deviation rate 0.06) and T3 (mean deviation rate 0.09) are stable periods. The mean deviation rates for T2 and T4 are 0.25 and 0.20 respectively, which do not meet the requirements. The stable periods for pedestrian flow in A3 are T1 and T3, a total of 2.

[0066] S21 Step: The stable periods for pedestrian flow in A1 are T1 and T3 (2 periods), and the stable periods for pedestrian flow in A3 are T1 and T3 (2 periods).

[0067] Step S22: Monitoring target sub-areas that belong to the period of stable traffic flow in each time period: A1 and A3 (2 areas) in T1, A1 and A3 (2 areas) in T3, and 0 areas in T2 and T4.

[0068] Step S23: Average number of people during a stable period of traffic flow = (2+2) / 2 = 2.0.

[0069] Determine if the average quantity of 2.0 is less than the preset stable period quantity threshold of 2: if 2.0 is not less than 2, it belongs to case 2.

[0070] Calculate the stable weight value of pedestrian flow: the percentage of monitoring target sub-areas belonging to the stable pedestrian flow period in each time period: T1=2 / 2=1.0, T2=0 / 2=0, T3=2 / 2=1.0, T4=0 / 2=0. Mean value = (1.0+0+1.0+0) / 4=0.50.

[0071] Determine whether the stable weight value of 0.50 is greater than the preset stable weight threshold of 0.50: If 0.50 is not greater than 0.50 (equal to not greater than), it is determined that the temperature regulation control area has more than one preset number threshold period for stable traffic flow, and there are multiple monitoring target sub-areas belonging to the monitoring target sub-areas of stable traffic flow in different stable traffic flow periods.

[0072] Therefore, the temperature regulation control zones are A1 and A3.

[0073] S3 uses the temperature regulation control area data as a basis, and combines it with the shortage period data of different time periods on different dates, to determine the temperature regulation control strategy of the temperature regulation control area. Specifically, such as Figure 4 As shown, the method for determining the temperature regulation control strategy of the temperature regulation control area is as follows: In this embodiment, using temperature regulation control area data and shortage period data for different time periods on different dates, the improvement effect of performing advance temperature regulation under the current temperature regulation control area on shortage risk periods is determined. Based on the difference in the improvement effect on shortage risk periods, the temperature regulation control strategy of the temperature regulation control area is determined, thereby avoiding excessive temperature regulation while minimizing shortage risk periods and ensuring the reliability of temperature regulation processing.

[0074] The temperature regulation control strategy refers to the decision rules that determine under what conditions to trigger temperature regulation processing in the temperature regulation control area, including advance regulation strategy, matching regulation strategy and relaxed matching regulation strategy; the shortage risk period refers to the period when the shortage risk weight value exceeds the preset weight threshold.

[0075] Assuming that the number of temperature regulation control areas is small and the total duration of shortage risk periods is long, an advance adjustment strategy is adopted to lower the temperature in advance when the air conditioning load is low in order to alleviate the subsequent shortage risk. The improvement effect is evaluated by temperature regulation control area data and shortage period data, and the temperature regulation control strategy is determined accordingly to minimize the shortage risk periods while avoiding excessive temperature regulation.

[0076] S31, Based on the temperature regulation and control area data, determine the number of temperature regulation and control areas; It is understood that if the number of temperature regulation control zones is less than the preset control zone number threshold, the temperature regulation control strategy of the temperature regulation control zone is determined to be the advance adjustment strategy. That is, as long as the air conditioner load rate is less than the preset load rate threshold for the shortage risk period, and there is a shortage risk period in the future period of the current date, the temperature regulation control zone will be processed to directly adjust the temperature to below the target temperature threshold. The preset control zone number threshold refers to a critical value used to determine whether the number of temperature regulation control zones is too large. When the number is small, an advance adjustment strategy is adopted, and temperature regulation is performed when the air conditioning load rate is below the threshold.

[0077] If the number of temperature control zones is lower than the preset control zone number threshold, an advance adjustment strategy is adopted, directly adjusting the temperature to below the target threshold when the air conditioner load rate is lower than the preset load rate threshold.

[0078] It is also understood that if the number of temperature regulation control areas is not less than the preset control area number threshold, then proceed to step S32. S32, Based on the shortage period data for different time periods on different dates, determine the shortage risk periods within the stated time period; Specifically, in the above steps, the total duration of the shortage risk period in the time period is determined to meet the requirements. If not, it means that the total duration of the shortage risk period is too long. Therefore, the temperature regulation control strategy of the temperature regulation control area is determined to be the advance adjustment strategy. That is, as long as the load rate of the air conditioner is less than the preset load rate threshold and there is a shortage risk period in the future time period of the current date, the temperature regulation processing of the temperature regulation control area is carried out, that is, directly to below the target temperature threshold. If so, proceed to step S33.

[0079] "Meeting the requirements" means that the total duration of the shortage risk period does not exceed a preset total duration threshold. When the total duration is too long (does not meet the requirements), an advance adjustment strategy is adopted and conditions for future shortage risk periods are added.

[0080] If the total duration of the shortage risk period exceeds the preset total duration threshold, it indicates that there is a large shortage risk. In this case, an advance adjustment strategy is adopted. Temperature is adjusted when the air conditioner load rate is below the threshold and there is a future shortage risk period. An advance adjustment strategy is adopted when the total duration of the shortage risk period is large. When there is a large shortage risk, advance adjustment is adopted and future risk conditions are added to ensure timely relief.

[0081] S33, determine the temperature regulation control strategy for the temperature regulation control area based on the number of temperature regulation control areas and the shortage risk period in the time period.

[0082] It is understood that, based on the number of temperature regulation control zones and the shortage risk periods within the specified time periods, the temperature regulation control strategy for each temperature regulation control zone is determined, specifically including: S331, based on the number of temperature regulation control zones and the number of shortage risk periods in the time period, determine the adjustment adaptation coefficient of the temperature regulation control zone, and determine whether the adjustment adaptation coefficient is greater than the preset adaptation coefficient threshold. If so, determine that the temperature regulation control strategy of the temperature regulation control zone is the matching adjustment strategy. As long as the load rate of the air conditioner is less than the preset load rate threshold and the interval between it and the shortage risk period is less than the preset interval duration threshold, then perform temperature regulation processing of the temperature regulation control zone, that is, directly to below the target temperature threshold. If not, proceed to step S332. The adjustment adaptation coefficient is calculated as follows: Adjustment adaptation coefficient = (Number of temperature regulation control areas / Total number of sub-areas) ÷ (Number of shortage risk periods / Total number of periods). When the coefficient is high, the coverage of the control area is relatively high compared to the shortage risk periods, and a matching adjustment strategy is adopted. The preset adaptation coefficient threshold is the critical value for judging whether the adjustment adaptation coefficient is high. The preset interval duration threshold is the critical value for judging whether the interval between the current period and the shortage risk period is short.

[0083] The matching adjustment strategy refers to the strategy of adjusting the temperature only when the air conditioning load rate is below the threshold and the interval between the time and the shortage risk period is short. It is more accurate than the advance adjustment strategy. Assuming that the calculated adjustment adaptation coefficient exceeds the preset adaptation coefficient threshold, it indicates that the coverage of the controlled area is high. In this case, the matching adjustment strategy is adopted, and the temperature is adjusted only when the interval is short.

[0084] S332, determine whether the ratio of the number of temperature regulation control areas to the number of all sub-areas is greater than a preset ratio threshold. If yes, determine that the temperature regulation control strategy of the temperature regulation control area is a relaxed matching regulation strategy. If no, determine that the temperature regulation control strategy of the temperature regulation control area is an advance regulation strategy. That is, as long as the load rate of the air conditioner is less than the preset load rate threshold, and there is a shortage risk period in the future period of the current date, then the temperature regulation processing of the temperature regulation control area is performed, that is, directly to below the target temperature threshold.

[0085] The preset ratio threshold refers to the critical value used to determine whether the proportion of the temperature regulation and control area in the sub-region is relatively high. When the proportion is high, a relaxed matching regulation strategy is adopted, adding a stable period of traffic flow condition in addition to the interval length condition; when the proportion is low, an advance regulation strategy is adopted.

[0086] The relaxed matching adjustment strategy refers to a strategy that, in addition to adjusting the temperature when the air conditioning load rate is below the threshold and the interval is short, can also adjust the temperature when there are multiple monitoring target sub-areas with stable traffic flow in the current period and there is a risk of shortage in the future.

[0087] If the proportion of temperature regulation control area exceeds the preset proportion threshold, it indicates that the control coverage is relatively wide. In this case, a relaxed matching regulation strategy is adopted, and the regulation trigger range is expanded by adding the condition of stable traffic flow period. The strategy is further refined by the proportion of control area. When the control coverage is different, the strategy can be dynamically selected between relaxed matching and early adjustment, so as to achieve precise matching between strategy and control coverage.

[0088] This embodiment realizes a complete process from counting the number of temperature regulation control areas to assessing the shortage risk period and determining the temperature regulation control strategy. The control scale is assessed by the number of temperature regulation control areas. When the number is small, an advance adjustment strategy is adopted to quickly alleviate the risk. The risk level is assessed by the total duration of the shortage risk period. When the total duration is large, an advance adjustment strategy is adopted and future risk conditions are added. By adjusting the adaptation coefficient and the proportion of control areas, the strategy level is dynamically selected when the matching degree and coverage are different, thereby achieving precise matching between the control strategy and the risk level and coverage.

[0089] Continuing with the calculation results from S2, the temperature regulation control areas are A1 and A3, a total of 2. The total number of sub-regions is 5. The shortage risk periods (the periods when the shortage risk weight value is greater than the preset weight threshold of 0.40) are T1 (0.66) and T3 (0.66), a total of 2.

[0090] Step S31: The number of temperature regulation control zones is 2.

[0091] If the quantity 2 is less than the preset control area quantity threshold 3: if 2 is less than 3, the temperature regulation control strategy is determined to be the advance adjustment strategy. That is, as long as the load rate of the air conditioner is less than the preset load rate threshold of 0.80, the temperature regulation control areas A1 and A3 will be adjusted directly to the target temperature threshold of 20°C or below.

[0092] S4 utilizes the temperature regulation control strategy to perform temperature regulation processing in different temperature regulation control areas. Based on the changes in the shortage risk period on different dates and the temperature regulation control strategy, the optimization processing target of the temperature regulation control strategy for the temperature regulation control area is determined.

[0093] It is understood that the method for determining the optimization target of the temperature regulation control strategy in the temperature regulation control area is as follows: It should be noted that by analyzing the changes in shortage risk periods on different dates, the severity of shortage risk periods after temperature regulation control is determined. Furthermore, considering the temperature regulation control strategy, the stringency of current temperature regulation control is determined. By utilizing the severity of shortage risk periods after temperature regulation control and the stringency of current temperature regulation control, the optimization target of the temperature regulation control strategy in the temperature regulation control area is determined, thereby further reducing shortage risk periods. At the same time, a balanced optimization process of reducing shortage risk periods and temperature control stability is achieved.

[0094] The optimization target refers to the decision rules for determining which temperature regulation control areas should be optimized, including areas that do not require optimization, all temperature regulation control areas, selected control areas, and secondary selected control areas.

[0095] If the shortage risk period remains significant after temperature adjustment and the current control strategy is a proactive (strict) adjustment strategy, then the optimization target needs to be expanded to all controlled areas.

[0096] By assessing the demand for optimization based on the changes in shortage risk periods and control strategies, and determining the optimization targets accordingly, a balanced optimization is achieved while reducing shortage risk periods and maintaining temperature control stability.

[0097] S41, determine the percentage of the total duration of the shortage risk period on the stated date based on the changes in the shortage risk period on different dates; The percentage of total time spent in a shortage risk period = total time spent in a shortage risk period on a certain date / total time spent on that date, reflecting the severity of the shortage risk on that date.

[0098] Suppose that on a certain date, T1 and T3 are both periods of shortage risk, with a total duration of 4 hours, and the total duration of the date is 8 hours. Then the proportion of the total duration is 4 / 8 = 0.50. By calculating the proportion of the total duration, the severity of the shortage risk on each date can be quantified into a comparable ratio.

[0099] S42, using the total duration percentage, determine the dates affected by the shortage among the dates; It is understood that if there are no dates affected by shortages among the stated dates, then the optimization target of the temperature regulation control strategy for the temperature regulation control area is determined to be no optimization required.

[0100] It is also understood that if there are dates affected by a shortage in the stated dates, then proceed to step S43; The dates affected by the shortage are those whose total duration percentage exceeds a preset duration percentage threshold. No optimization is needed when there are no dates affected by the shortage.

[0101] If the total duration of a certain date exceeds a preset duration percentage threshold, then that date is considered a shortage-affected date. Optimization needs are determined based on the shortage-affected dates. If there are no shortage-affected dates, the existing strategy remains unchanged.

[0102] S43, using the shortage-affected dates in the stated dates, the total duration of shortage-risk periods in different dates, and the stated temperature regulation control strategy, determine the optimization target of the temperature regulation control strategy for the temperature regulation control area.

[0103] Specifically, based on the dates affected by shortages, the total duration of shortage risk periods across different dates, and the temperature regulation control strategy, the optimization target for the temperature regulation control strategy in the temperature regulation control area is determined, including: S431, determine whether the average of the total duration of the shortage risk period in different dates is greater than the preset duration percentage threshold. If so, determine that the optimization target of the temperature regulation control strategy of the temperature regulation control area is all temperature regulation control areas. That is, as long as the load rate of the air conditioner is less than the preset load rate threshold, the temperature regulation control area will be processed directly to the target temperature threshold. If not, proceed to step S432. When the average percentage of total duration exceeds the preset percentage threshold, it indicates a high risk of overall shortage, and all temperature regulation and control areas are targeted for optimization.

[0104] If the average percentage of total duration for each date exceeds the preset percentage threshold, then all controlled areas A1 and A3 will be optimized. When the average percentage of total duration is high, a full optimization strategy will be adopted. When the overall shortage risk is high, the risk will be quickly reduced through full optimization.

[0105] S432, based on the proportion of the total duration of the shortage risk period in different dates and the proportion of the number of shortage-affected dates in the aforementioned dates, determine the shortage impact value, and determine whether the shortage impact value is greater than the preset impact threshold. If not, determine that the optimization processing target of the temperature regulation control strategy of the temperature regulation control area is to screen the control area, that is, as long as the load rate of the air conditioner is less than the preset load rate threshold, the temperature regulation processing of the temperature regulation control area is carried out, that is, directly to below the target temperature threshold. If so, proceed to step S433. The shortage impact value is calculated as the average of the total duration percentage and the percentage of dates affected by the shortage. The preset impact threshold is the critical value for determining whether the shortage impact value is high. The selected control area is the temperature regulation control area with the highest number of stable traffic periods in the preset proportion. Furthermore, within different stable traffic periods, there are multiple temperature regulation control areas belonging to the monitoring target sub-areas of stable traffic periods. When the shortage impact value is not high, only the selected control area is optimized.

[0106] Specifically, the screening and control area is the temperature regulation and control area with the largest number of stable traffic periods in a preset proportion, and there are multiple temperature regulation and control areas belonging to the monitoring target sub-areas of stable traffic periods in different stable traffic periods.

[0107] If the impact value of the shortage is not greater than the preset impact threshold, it indicates that the impact of the shortage is limited. In this case, only the screening and control area is optimized. The optimization range is further evaluated by the impact value of the shortage. When the overall risk is not high, only the screening and control area is optimized to save processing resources.

[0108] S433, determine whether the temperature regulation control strategy belongs to the advance adjustment strategy. If yes, then determine that the optimization processing target of the temperature regulation control strategy of the temperature regulation control area is the secondary screening control area. If no, then there are still many periods of shortage risk under the current relaxed control. Then determine that the optimization processing target of the temperature regulation control strategy of the temperature regulation control area is all temperature regulation control areas.

[0109] The secondary screening control area is the temperature regulation control area with the highest number of stable traffic periods according to a preset ratio. When the control strategy is an advance adjustment strategy (stricter), the impact is more severe under strict control. Therefore, it may be possible to effectively improve the situation by adjusting the temperature in only a portion of the temperature regulation control areas. Thus, a secondary screening control area (smaller range) is used. When the control strategy is not an advance adjustment strategy (relaxed), there are still many periods of shortage risk under a relaxed approach. Therefore, to reduce the shortage risk periods, all control areas are used.

[0110] If the control strategy is a pre-emptive adjustment strategy and the impact of shortage is high, then the optimization target is set as the secondary screening control area (the area with the largest number of people during the stable period of the preset proportion of traffic). If the control strategy is not a pre-emptive adjustment strategy, then all control areas are used as optimization targets.

[0111] The optimization target is ultimately determined by the control strategy type. When the shortage impact value is high, the selection is dynamically made between secondary screening and full screening based on the strictness of the control strategy, thereby achieving a precise match between the optimization target and the shortage impact and control strategy.

[0112] This embodiment realizes a complete process from calculating the proportion of total duration of shortage risk periods to assessing the date of shortage impact and determining the optimization target. The overall shortage risk is assessed by the average proportion of total duration. When the risk is high, a full optimization strategy is adopted to further assess the optimization scope by the shortage impact value. When the impact is limited, only the screened and controlled areas are optimized. The optimization target is finally determined by the control strategy type. When the impact is high, the system dynamically selects between secondary screening and full optimization based on the strictness of the strategy.

[0113] Continuing with the calculation results from S3, the temperature regulation control strategy is an advance adjustment strategy. The periods of shortage risk are T1 and T3.

[0114] The percentage of total time spent in the shortage risk period (T1 and T3) for each date: D1: T1 shortage time 1.5 hours + T3 shortage time 1.4 hours = 2.9 hours, total time 8 hours, percentage = 2.9 / 8 = 0.363; D2: T1 shortage of 1.2 hours + T3 shortage of 1.1 hours = 2.3 hours, percentage = 2.3 / 8 = 0.288; D3: T1 shortage of 1.0 hour + T3 shortage of 1.2 hours = 2.2 hours, percentage = 2.2 / 8 = 0.275; D4: T1 shortage of 1.6 hours + T3 shortage of 1.6 hours = 3.2 hours, accounting for 3.2 / 8 = 0.40; D5: T1 shortage of 1.3 hours + T3 shortage of 1.3 hours = 2.6 hours, percentage = 2.6 / 8 = 0.325; and so on for N dates; Step S41: The percentage of total duration for each date is as described above.

[0115] Step S42: Dates with shortage impacts accounting for more than 0.35% of the total duration: Dates with shortage impacts exist, proceed to S43.

[0116] Step S43: Step S431: The total duration percentage of N dates is 0.320. Determine if the average of 0.320 is greater than the preset duration percentage threshold of 0.35: If 0.320 is not greater than 0.35, proceed to S432.

[0117] Step S432: The percentage of dates affected by the shortage = 0.40. The total impact of the shortage = 0.330 + 0.40 = 0.365.

[0118] Determine whether the shortage impact value of 0.365 is greater than the preset impact threshold of 0.4, and determine that the optimization target is to screen and control the area.

[0119] The selected control area is the temperature regulation control area with the largest number of stable traffic periods at a preset ratio of 0.50, and there are multiple temperature regulation control areas belonging to the monitoring target sub-areas of stable traffic periods in different stable traffic periods.

[0120] The number of stable pedestrian flow periods for both A1 and A3 is 2 (T1 and T3), and both T1 and T3 contain two (multiple) monitoring target sub-regions belonging to stable sub-regions, A1 and A3. The preset ratio of 0.50 corresponds to 2 × 0.50 = 1.

[0121] The temperature control zone with the highest number of people during periods of stable traffic is A1 (tied with A3, so A1 is selected). Therefore, the optimization target is A1, that is, A1 is optimized. As long as the air conditioner load rate is less than the preset load rate threshold of 0.80, the temperature of A1 is adjusted directly to below the target temperature threshold of 20°C.

[0122] Example 2 Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for regulating and controlling an office environment oriented towards multimodal intelligent perception when running the computer program.

[0123] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0124] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0125] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for regulating and controlling the office environment based on multimodal intelligent sensing, characterized in that, Specifically, it includes: S1 uses monitoring data of the air conditioning system to determine the shortage of air conditioning load at different times, and uses the distribution data of the shortage of air conditioning load at different dates to determine the monitoring and management method of people flow in different sub-areas of the office area. S2 determines the monitoring target sub-region in the sub-region based on the monitoring and management method, determines the stable period of pedestrian flow in the monitoring target sub-region based on the change data of pedestrian flow in different monitoring target sub-regions, and determines the temperature regulation and control area in the monitoring target sub-region based on the stable period of pedestrian flow in different monitoring target sub-regions and the degree of overlap of the stable period of pedestrian flow. S3 uses the temperature regulation control area data as a basis, and combines it with the shortage period data of different time periods on different dates, to determine the temperature regulation control strategy of the temperature regulation control area. S4 utilizes the temperature regulation control strategy to perform temperature regulation processing in different temperature regulation control areas. Based on the changes in the shortage risk period on different dates and the temperature regulation control strategy, the optimization processing target of the temperature regulation control strategy for the temperature regulation control area is determined.

2. The office environment regulation and control method for multimodal intelligent sensing as described in claim 1, characterized in that, The shortage of air conditioning load is determined based on the time period during which the air conditioner is at its rated load.

3. The office environment regulation and control method for multimodal intelligent sensing as described in claim 1, characterized in that, The method for determining the monitoring and management method for pedestrian flow in the sub-region is as follows: Based on the distribution data of air conditioning load shortage periods on different dates, determine the duration percentage of the shortage period on different dates for the time period; Based on the proportion of the shortage period in different dates, the shortage risk weight value of the time period is determined; Based on the shortage risk weight values ​​at different time periods, a method for monitoring and managing pedestrian flow in the sub-region is determined.

4. The office environment regulation and control method for multimodal intelligent sensing as described in claim 3, characterized in that, The shortage risk weight value for the time period is determined based on the average duration of the shortage period on different dates.

5. The office environment regulation and control method for multimodal intelligent sensing as described in claim 3, characterized in that, Based on the shortage risk weight values ​​at different time periods, a method for monitoring and managing pedestrian flow in the sub-region is determined, specifically including: If the average value of the shortage risk weight value in different time periods is greater than the preset weight threshold, then the monitoring and management method for pedestrian flow in the sub-region is determined to be monitoring and processing pedestrian flow in the sub-region of the target type.

6. The office environment regulation and control method for multimodal intelligent sensing as described in claim 3, characterized in that, When there is no period of shortage risk, there is no need to monitor and manage pedestrian flow.

7. The office environment regulation and control method for multimodal intelligent sensing as described in claim 5, characterized in that, The target type of sub-region is a sub-region where the load deviation rate of the air conditioner is less than a preset deviation rate threshold between different dates and different time periods.

8. The office environment regulation and control method for multimodal intelligent sensing as described in claim 1, characterized in that, The data on changes in pedestrian traffic in the monitored target sub-region are determined based on the changes in pedestrian traffic in the monitored target sub-region at different times and on different dates.

9. The office environment regulation and control method for multimodal intelligent sensing as described in claim 1, characterized in that, The method for determining the temperature regulation control strategy of the temperature regulation control area is as follows: Based on the temperature regulation and control area data, determine the number of temperature regulation and control areas; Based on shortage period data for different time periods on different dates, the shortage risk periods within the stated time period are identified; The temperature regulation control strategy for each temperature regulation control area is determined based on the number of temperature regulation control areas and the shortage risk periods within the specified time periods.

10. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes the office environment regulation and control method for multimodal intelligent sensing as described in any one of claims 1-9.

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