A method and system for controlling public area air conditioning based on usage of rented area air conditioning

Abstract

The present invention relates to the technical field of air conditioning control, and provides a method and system for controlling air conditioning in a public area based on the usage of air conditioning in a rental area. The method comprises: processing air conditioning temperature data of public areas and rental areas on each floor, dividing multiple groups of temperature fluctuation rate data, thereby constructing a relationship model that reflects the relationship between the temperature rise rate of the public area and the temperature rise rate of each rental area on the same floor; substituting real-time air conditioning data of each rental area into the relationship model, predicting the temperature rise rate of the public area, reflecting the air conditioning usage demand of the public area, and controlling the temperature of the air conditioning in the public area, so that the air conditioning refrigeration of the public area meets the usage demand at this time, reducing energy consumption and reducing property electricity costs.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning control, and in particular to a method and system for controlling air conditioning in a public area based on the usage of air conditioning in a rented area. Background Art

[0002] The central air conditioning in office buildings is divided into tenant areas and public areas. The electricity charges in the tenant areas are borne by the tenants themselves, while the electricity charges in the public areas need to be shared by each tenant. Users in the tenant areas will control the air conditioning in the tenant areas according to their own needs, but the air conditioning in the public areas needs to be adjusted by the property management. It is difficult for the property to know the air conditioning needs in the public areas, and generally a fixed temperature setting value is directly adopted, resulting in a large waste of electricity resources and increased electricity costs for tenants. Summary of the invention

[0003] The present invention provides a method for controlling public area air conditioning based on the usage of rented area air conditioning, which is used to solve the problem of waste of electric power resources caused by unclear public area air conditioning demand in the prior art.

[0004] A first aspect of the present invention provides a method for controlling a public area air conditioner based on the usage of a rented area air conditioner, comprising:

[0005] Obtain the historical data of the air conditioning panels in the public area and the air conditioning panels in the rental area on each floor, and obtain the temperature change curves of the public area and the temperature change curves of the rental area; identify the temperature fluctuation intervals and corresponding fluctuation time periods in the temperature change curves of the public area and the rental area respectively, and calculate the temperature fluctuation rate, and obtain the temperature fluctuation trend of the public area and the temperature fluctuation rate of the rental area under different fluctuation time periods on each floor; divide the temperature fluctuation rates corresponding to the closest fluctuation time periods on the same floor into one group;

[0006] Substitute multiple groups of temperature fluctuation rate parameters on the same floor into the preset relationship model respectively, calculate the relationship coefficient of each tenant's room, and then construct a complete preset relationship model. The preset relationship model is specifically:

[0007]

[0008] Where a is the number of tenant rooms on the mth floor, v mn is the air conditioning temperature rise rate of the nth room in the mth floor, v m总 is the total temperature rise rate of the rental area on the mth floor, is the relationship coefficient of the nth room in the mth floor, V m is the temperature rise rate of the public area on the mth floor, f(v m总 ) is the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area on the mth floor;

[0009] Monitor the air conditioning panel data of each rental area on the floor, substitute it into the relationship model of the corresponding floor, and predict the air conditioning temperature rise rate of the public area; when the predicted air conditioning temperature rise rate of the public area is less than the preset rate threshold, increase the air conditioning temperature of the public area.

[0010] Optionally, after predicting the air conditioning temperature rise rate of the public area, the method further includes:

[0011] The predicted public area air conditioning temperature rise rate of each floor is obtained and substituted into the lobby air conditioning temperature rise rate prediction model to obtain the lobby air conditioning temperature rise rate. The lobby air conditioning temperature rise rate prediction model is specifically:

[0012]

[0013] Among them, V m0 is the lobby air conditioning temperature rise rate, b is the number of floors, θ is the cumulative coefficient of floor temperature rise to the lobby, and η is the lobby air exchange constant; when the predicted lobby air conditioning temperature rise rate is less than the preset rate threshold, the lobby air conditioning temperature is increased.

[0014] Optionally, the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area on the mth floor in the preset relationship model is specifically:

[0015]

[0016] Among them, A is the relationship proportional coefficient, B is the relationship translation coefficient, δ is the preset constant value of the temperature rise in the common area, α is the minimum threshold, and β is the maximum threshold.

[0017] The second aspect of the present application provides a public area air conditioning control system based on the usage of air conditioning in the rental area, including:

[0018] The data processing module is used to obtain the historical data of the air conditioning panels in the public area and the air conditioning panels in the rental area on each floor, and obtain the temperature change curves of the public area and the temperature change curves of the rental area; respectively identify the temperature fluctuation intervals and corresponding fluctuation time periods in the temperature change curves of the public area and the rental area, and calculate the temperature fluctuation rate, and obtain the temperature fluctuation trend of the public area and the temperature fluctuation rate of the rental area under different fluctuation time periods on each floor; divide the temperature fluctuation rates corresponding to the closest fluctuation time periods on the same floor into one group;

[0019] The model building module is used to substitute multiple groups of temperature fluctuation rate parameters on the same floor into the preset relationship model, calculate the relationship coefficient of each tenant's room, and then build a complete preset relationship model. The preset relationship model is specifically:

[0020]

[0021] Where a is the number of tenant rooms on the mth floor, v mnis the air conditioning temperature rise rate of the nth room in the mth floor, v m总 is the total temperature rise rate of the rental area on the mth floor, is the relationship coefficient of the nth room in the mth floor, V m is the temperature rise rate of the public area on the mth floor, f(v m总 ) is the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area on the mth floor;

[0022] The public area air conditioning control module is used to monitor the air conditioning panel data of each rental area on the floor, and substitute it into the relationship model of the corresponding floor to predict the air conditioning temperature rise rate of the public area; when the predicted public area air conditioning temperature rise rate is less than the preset rate threshold, the public area air conditioning temperature is increased.

[0023] Optionally, in the public area air conditioning control module, after predicting the air conditioning temperature rise rate of the public area, the following further comprises:

[0024] The predicted public area air conditioning temperature rise rate of each floor is obtained and substituted into the lobby air conditioning temperature rise rate prediction model to obtain the lobby air conditioning temperature rise rate. The lobby air conditioning temperature rise rate prediction model is specifically:

[0025]

[0026] Among them, V m0 is the lobby air conditioning temperature rise rate, b is the number of floors, θ is the cumulative coefficient of floor temperature rise to the lobby, and η is the lobby air exchange constant; when the predicted lobby air conditioning temperature rise rate is less than the preset rate threshold, the lobby air conditioning temperature is increased.

[0027] Optionally, in the model building module, a relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area in the m-th floor in the preset relationship model is specifically:

[0028]

[0029] Among them, A is the relationship proportional coefficient, B is the relationship translation coefficient, δ is the preset constant value of the temperature rise in the common area, α is the minimum threshold, and β is the maximum threshold.

[0030] The third aspect of the present application provides a method and device for controlling a public area air conditioner based on the usage of a rented area air conditioner, the device comprising a processor and a memory:

[0031] The memory is used to store program code and transmit the program code to the processor;

[0032] The processor is used to execute a public area air conditioning control method based on the usage of the rented area air conditioning according to any one of the first aspects of the present invention according to the instructions in the program code.

[0033] The fourth aspect of the present application provides a computer-readable storage medium, characterized in that the computer-readable storage medium is used to store program code, and the program code is used to execute a public area air conditioning control method based on the usage of rented area air conditioning as described in any one of the first aspects of the present invention.

[0034] It can be seen from the above technical scheme that the present invention has the following advantages: by processing the air-conditioning temperature data of the public areas and rental areas on each floor, a plurality of groups of temperature fluctuation rate data are divided, thereby constructing a relationship model reflecting the relationship between the temperature rise rate of the public area and the temperature rise rate of each rental area on the same floor; by substituting the real-time air-conditioning data of each rental area into the relationship model, the temperature rise rate of the public area is predicted, reflecting the air-conditioning usage demand of the public area, and thereby controlling the temperature of the air-conditioning in the public area, so that the air-conditioning refrigeration in the public area meets the usage demand at this time, thereby reducing energy consumption and reducing property electricity costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0036] Figure 1 A first flow chart of a method for controlling air conditioning in a public area based on the usage of air conditioning in a rental area;

[0037] Figure 2 It is a curve diagram of the total temperature rise rate of the leased area and the temperature rise rate of the public area changing with time;

[0038] Figure 3 The structure diagram of a public area air conditioning control system based on the usage of air conditioning in the rental area. DETAILED DESCRIPTION

[0039] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] The present invention provides a method for controlling public area air conditioning based on the usage of rented area air conditioning, which is used to solve the problem of waste of electric power resources caused by unclear public area air conditioning demand in the prior art.

[0041] See also Figure 1 , Figure 1 The present invention provides a first flow chart of a method for controlling public area air conditioning based on the usage of rented area air conditioning.

[0042] S100, obtaining historical data of the air conditioning panels in the public area and the air conditioning panels in the rental area of ​​each floor, and obtaining the temperature change curves of the public area and the temperature change curves of the rental area; respectively identifying the temperature fluctuation intervals and corresponding fluctuation time periods in the temperature change curves of the public area and the rental area, and calculating the temperature fluctuation rate, and obtaining the temperature fluctuation trend of the public area and the temperature fluctuation rate of the rental area in different fluctuation time periods of each floor; and dividing the temperature fluctuation rates corresponding to the closest fluctuation time periods on the same floor into one group;

[0043] It should be noted that central air conditioning will be used in office buildings to control the temperature of each area, and separate temperature adjustment can be performed in each room through split units. The air conditioning control information of each area of ​​the office building will be sent to the remote terminal, and the remote terminal will have staff to monitor the air conditioning data or remotely control the central air conditioning; an air conditioning control panel will be provided in each rental area for users to control the temperature, and the panel will display the current temperature and set temperature of the rental area in real time. At the same time, the data will also be displayed synchronously in the remote terminal. The remote terminal can record the temperature data, and then obtain the historical data of the public area air conditioning panel and the rental area air conditioning panel. Each floor can be divided into rental areas and public areas. The rental areas are various office compartments, and the public areas are spaces connecting the rental areas such as corridors, hallways, and toilets. In this embodiment, data groups are divided by floor, and the air conditioning temperature data of the rental areas and public areas on the same floor are processed.

[0044] The temperature change curve records the temperature change over time. In the control mode of the central air conditioner, there will be a set temperature. The central air conditioner supplies air to cool the rental area or public area while detecting the indoor temperature. When the indoor temperature reaches the set temperature, the air supply and cooling are stopped. Due to the heat exchange and the heat generated by people, the indoor temperature will rise again after the air supply is stopped. After detecting that the difference between the indoor temperature and the set temperature reaches a certain threshold, the air supply and cooling are started again. This is repeated to maintain the indoor temperature fluctuating around the set temperature and reduce energy consumption; therefore, the temperature in the temperature change curve will fluctuate between the set temperature and a temperature within a certain threshold difference from the set temperature. In the temperature change curve of the public area or the rental area, each time a minimum temperature value and an adjacent and time-lagged maximum temperature value are identified, a temperature fluctuation interval is divided, and the time corresponding to the minimum temperature value and the most adjacent temperature maximum value with a time lag constitutes a temperature fluctuation time period; this embodiment only considers the cooling situation. In the heating situation, the fluctuation interval identification method needs to be modified to a maximum temperature value and an adjacent and time-lagged minimum temperature value.

[0045] The more people there are in a limited space, the greater the heat generation, and the faster the temperature rises per unit time. Therefore, the shorter the fluctuation time period in the identified fluctuation interval, the more people there are in the limited space during this time period. The difference between the maximum temperature and the minimum temperature is divided by the length of the fluctuation time period to obtain the average temperature rise rate of the temperature fluctuation interval. The temperature rise rate of each rental area and public area reflects the number of people in this time period. The public areas of each floor and each tenant area have air-conditioning panels, so multiple temperature fluctuation rates can be obtained. Because the time period for the temperature of a rental area to rise after it is reduced to the set temperature is not necessarily consistent with the time periods of other rental areas and public areas, the correlation between the fluctuation time periods of the rental areas and public areas can be determined based on the connection of the time periods. It can be judged based on the recent situation. For example, each rental area has several fluctuation time periods within a day, and the public area also has several fluctuation time periods accordingly. The lengths and start and end time nodes of these time periods are not necessarily the same. Therefore, the association can be judged based on the overlap between the time periods. For example, a fluctuation time period in rental area A overlaps with a fluctuation time period in the public area by 50%, and the overlap is the largest among the fluctuation time periods in rental area A. Then, the fluctuation time period in rental area A and the fluctuation time period in the public area can be regarded as the closest fluctuation time periods and divided into the same group of data, that is, this group of data is associated with each other. If there is no overlap between the time periods, the closest time period can be identified based on the time difference between the start and end times of the two time periods.

[0046] S200, substituting multiple groups of temperature fluctuation rate parameters of the same floor into the preset relationship model respectively, calculating the relationship coefficient of each tenant's room, and constructing a complete preset relationship model, wherein the preset relationship model is specifically:

[0047]

[0048] Where a is the number of tenant rooms on the mth floor, v mn is the air conditioning temperature rise rate of the nth room in the mth floor, v m总 is the total temperature rise rate of the rental area on the mth floor, is the relationship coefficient of the nth room in the mth floor, V m is the temperature rise rate of the public area on the mth floor, f(v m总 ) is the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area on the mth floor;

[0049] It should be noted that there is a certain correlation between the number of people in each space in the office building. The total number of people in each tenant's office in the office building is stable. There will be a large change in the number of people in the tenant area and the public area during the daily working hours and off-get off work hours. All people must pass through the public area before entering the tenant area, and people must also pass through the public area to leave the office building from the tenant area. Therefore, there is a correlation between the number of people in the public area and the number of people in the tenant area, and the number of people in each area can be reflected by the central air-conditioning temperature rise rate; please refer to Figure 2 The total temperature rise rate of the leased area and the temperature rise rate of the public area vary with time. The solid line is the temperature rise rate of the public area, and the dotted line is the total temperature rise rate of the leased area. The curve is obtained by fitting the value points under multiple time intervals. Figure 2 It reflects the changes during the working hours. For example, the working hours of tenants in office buildings are between 8:30 and 10:00. At about 8:30, some employees have entered the office building, entered their tenant areas through the public areas, turned on the air conditioners in the tenant areas, and stayed in the tenant areas. As time goes by, more and more people are going to work. At this time, the air conditioner in the public area cools down to the preset temperature, but because there are many people in the public area, it quickly rises to the threshold temperature. At this time, the temperature rise rate of the public area increases with the increase in the number of people. After arriving at the rental area through the public area, the employees stay and start working. The number of people in the tenant area also begins to gradually increase, that is, the tenant temperature rise rate also increases with the increase in the number of people. At the end of the working hours, most of the employees have arrived at the rental area office. At this time, the number of people going to work through the public area gradually decreases, and the temperature rise rate of the public area also decreases. Although the number of people who have arrived at the office in the rental area is increasing, the rate of increase is decreasing. At this time, the temperature rise rate of the rental area is still increasing, but the increase is slowing down. The curve of the total temperature rise rate of the rental area and the temperature rise rate of the public area at the end of the working hours is the same as that of the public area. Figure 2 The middle curve is a mirror image, and the temperature rise rate of the public area is the lowest during working hours outside the commuting time and during rest time, the total temperature rise rate of the rented area is the highest during working hours, and the total temperature rise rate of the rented area is the lowest during rest time;

[0050] The area of ​​each tenant area is different, and the number of users accommodated is different. Therefore, the tenant areas on each floor will have their own relationship coefficients, which reflect the ratio of the maximum number of employees in each rental area to the total number of people on the floor. After substituting multiple groups of temperature fluctuation rate parameters into the relationship model, it is necessary to find the relationship coefficients corresponding to each tenant room. Therefore, the number of temperature fluctuation rate parameter groups identified in the aforementioned step S100 is related to the number of rooms on the floor. In this embodiment, the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area on the m floor can be applied to the sine function within a certain range of the total temperature rise rate of the rental area, that is, f(v m总 )=V m It can be written as Asin(v m总 )+B=V m, the AB values ​​in the function are set according to the relationship curve of the specific floor. When the total temperature rise rate of the rental area is less than a minimum threshold and greater than a maximum threshold, it corresponds to the arrival of the rest time and the working time respectively. At this time, the temperature rise rate of the public area can be set to a preset value, which is the minimum temperature rise rate of the public area. The minimum threshold, the maximum threshold and the preset value can be set according to the empirical value. After substituting each group of temperature fluctuation rate parameters respectively, the relationship coefficient of each tenant room is obtained, and a complete preset relationship model is constructed. Each floor has its own corresponding preset relationship model.

[0051] S300, monitoring the air conditioning panel data of each rental area on the floor, and substituting it into the relationship model of the corresponding floor to predict the air conditioning temperature rise rate of the public area; when the predicted air conditioning temperature rise rate of the public area is less than the preset rate threshold, raising the air conditioning temperature of the public area;

[0052] It should be noted that the complete relationship model constructed in the above steps can predict the air-conditioning conditions of the public areas according to the real-time air-conditioning usage of each rental area. In the actual use of central air-conditioning in office buildings, the air-conditioning usage of each rental area is generally regulated by the tenants themselves, while the air-conditioning in the public areas needs to be controlled by the property. When the predicted temperature rise rate of the public area air-conditioning is less than the preset rate threshold, it means that there are very few people staying in the public area, and the air-conditioning demand in the public area is low. There is no need to maintain the current low temperature. The temperature can be appropriately raised to room temperature, or a certain set maximum public area air-conditioning temperature. Furthermore, the number of host starts and stops can be controlled based on the public area air-conditioning usage demand identified by the predicted public area air-conditioning temperature rise rate.

[0053] In this embodiment, by processing the air-conditioning temperature data of the public areas and rental areas on each floor, multiple groups of temperature fluctuation rate data are divided to construct a relationship model that reflects the relationship between the temperature rise rate of the public area and the temperature rise rate of each rental area on the same floor; by substituting the real-time air-conditioning data of each rental area into the relationship model, the temperature rise rate of the public area is predicted to reflect the air-conditioning usage demand in the public area, and the temperature of the air-conditioning in the public area is controlled accordingly, so that the air-conditioning refrigeration in the public area meets the usage demand at this time, thereby reducing energy consumption and reducing property electricity costs.

[0054] The above is a detailed description of the first embodiment of a public area air conditioning control method based on the usage of the rental area air conditioning provided by the present application. The following is a detailed description of the second embodiment of a public area air conditioning control method based on the usage of the rental area air conditioning provided by the present application.

[0055] In this embodiment, a method for controlling public area air conditioning based on the usage of air conditioning in the rental area is further provided. In the aforementioned step S300, after predicting the air conditioning temperature rise rate of the public area, the method further includes: obtaining the predicted public area air conditioning temperature rise rate of each floor, and substituting it into the lobby air conditioning temperature rise rate prediction model to obtain the lobby air conditioning temperature rise rate. The lobby air conditioning temperature rise rate prediction model is specifically:

[0056]

[0057] Among them, V m0 is the lobby air conditioning temperature rise rate, b is the number of floors, θ is the cumulative coefficient of floor temperature rise to the lobby, and η is the lobby air exchange constant; when the predicted lobby air conditioning temperature rise rate is less than the preset rate threshold, the lobby air conditioning temperature is increased;

[0058] It should be noted that the public area lobby is also the entrance floor of the office building, which needs to carry people entering and leaving the public areas of all floors. To reach any floor or to leave the office building from any floor, you need to pass through the public area lobby. The lobby air conditioner can generally be regarded as the air conditioner on the first floor of the office building. Therefore, the public area of ​​each floor is calculated in the above steps, and the first floor generally does not have a rental office, so the calculation of the lobby air conditioner temperature rise rate is not suitable for the above relationship model; when considering the lobby air conditioner temperature rise rate, in addition to cumulatively considering the factors of the public areas of each floor coming to the public area on the first floor, it is also necessary to consider that the lobby on the first floor is generally the only floor that can be ventilated to the outside, and the temperature of the lobby on the first floor is lower than the outside temperature, so there is also a need for an air exchange constant, which is set according to the experience value. The constant value is larger when the lobby is open for ventilation for a long time, and the constant value is smaller when the lobby occasionally opens the door to enter; the cumulative coefficient of the floor temperature rise to the lobby can also be set according to the experience value, for example, the coefficient can be adjusted according to the circulation speed of the public area personnel or the carrying capacity of the elevator;

[0059] Furthermore, the relationship function between the total temperature rise rate of the leased area and the temperature rise rate of the public area in the preset relationship model is specifically:

[0060]

[0061] Among them, A is the relationship proportional coefficient, B is the relationship translation coefficient, δ is the preset constant value of the temperature rise in the public area, α is the minimum threshold, and β is the maximum threshold; the values ​​of the relationship proportional coefficient and the relationship translation coefficient in the function are set according to the relationship curve of the specific floor, so that the temperature rise in the rental area and the temperature rise in the public area fit the trigonometric function curve as much as possible, and when the total temperature rise rate in the rental area is less than a minimum threshold and greater than a maximum threshold, corresponding to the arrival of the rest time and the working time respectively, at this time, the temperature rise rate in the public area can be taken as a preset value, which is the minimum value of the temperature rise rate in the public area; the minimum threshold, the maximum threshold and the preset value can be set according to the empirical value.

[0062] Furthermore, for example, if the air conditioner has the function of maintaining a stable temperature through low-frequency refrigeration, there is no need to start repeatedly to cool down, and there will be no temperature fluctuations. The temperature rise rate in this embodiment can be replaced by the power of the central air-conditioning split unit to maintain the temperature in each rental area and public area. The larger the low-frequency power, the more people there are and the more heat is generated, which is proportional to the temperature rise rate. After scaling processing, the low-frequency power can be used as the temperature rise rate.

[0063] The above is a detailed description of a public area air conditioning control method based on the usage of the rental area air conditioning provided in the first aspect of the present application. The following is a detailed description of an embodiment of a public area air conditioning control system based on the usage of the rental area air conditioning provided in the second aspect of the present application.

[0064] See also Figure 3 , Figure 3 This embodiment provides a public area air conditioning control system based on the usage of the air conditioning in the rental area, including:

[0065] The data processing module 10 is used to obtain the historical data of the air conditioning panels in the public area and the air conditioning panels in the rental area of ​​each floor, and obtain the temperature change curves of the public area and the temperature change curves of the rental area; respectively identify the temperature fluctuation intervals and corresponding fluctuation time periods in the temperature change curves of the public area and the rental area, and calculate the temperature fluctuation rate, and obtain the temperature fluctuation trend of the public area and the temperature fluctuation rate of the rental area under different fluctuation time periods of each floor; divide the temperature fluctuation rates corresponding to the closest fluctuation time periods on the same floor into one group;

[0066] The model building module 20 is used to substitute multiple groups of temperature fluctuation rate parameters of the same floor into the preset relationship model, calculate the relationship coefficient of each tenant's room, and then build a complete preset relationship model. The preset relationship model is specifically:

[0067]

[0068] Where a is the number of tenant rooms on the mth floor, v mn is the air conditioning temperature rise rate of the nth room in the mth floor, v m总 is the total temperature rise rate of the rental area on the mth floor, is the relationship coefficient of the nth room in the mth floor, V m is the temperature rise rate of the public area on the mth floor, f(v m总 ) is the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area on the mth floor;

[0069] The public area air conditioning control module 30 is used to monitor the air conditioning panel data of each rental area on the floor, and substitute it into the relationship model of the corresponding floor to predict the air conditioning temperature rise rate of the public area; when the predicted public area air conditioning temperature rise rate is less than the preset rate threshold, the public area air conditioning temperature is increased.

[0070] Furthermore, in the public area air conditioning control module 30, after predicting the air conditioning temperature rise rate of the public area, the following steps are specifically included:

[0071] The predicted public area air conditioning temperature rise rate of each floor is obtained and substituted into the lobby air conditioning temperature rise rate prediction model to obtain the lobby air conditioning temperature rise rate. The lobby air conditioning temperature rise rate prediction model is specifically:

[0072]

[0073] Among them, V m0 is the lobby air conditioning temperature rise rate, b is the number of floors, θ is the cumulative coefficient of floor temperature rise to the lobby, and η is the lobby air exchange constant; when the predicted lobby air conditioning temperature rise rate is less than the preset rate threshold, the lobby air conditioning temperature is increased.

[0074] Furthermore, in the model building module 20, a relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area in the preset relationship model on the mth floor is specifically:

[0075]

[0076] Among them, A is the relationship proportional coefficient, B is the relationship translation coefficient, δ is the preset constant value of the temperature rise in the common area, α is the minimum threshold, and β is the maximum threshold.

[0077] The third aspect of the present application also provides a method and device for controlling public area air conditioning based on the usage of the air conditioning in the rental area, including a processor and a memory: wherein the memory is used to store program code and transfer the program code to the processor; the processor is used to execute the above-mentioned method for controlling public area air conditioning based on the usage of the air conditioning in the rental area according to the instructions in the program code.

[0078] A fourth aspect of the present application provides a computer-readable storage medium, characterized in that the computer-readable storage medium is used to store program code, and the program code is used to execute the above-mentioned public area air conditioning control method based on the usage of the rented area air conditioning.

[0079] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0080] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0081] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0082] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0083] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0084] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling air conditioning in public areas based on the usage of air conditioning in rented areas, characterized in that include: Obtain the historical data of the air conditioning panels in the public area and the air conditioning panels in the rental area on each floor, and obtain the temperature change curves of the public area and the temperature change curves of the rental area; identify the temperature fluctuation intervals and corresponding fluctuation time periods in the temperature change curves of the public area and the rental area respectively, and calculate the temperature fluctuation rate, and obtain the temperature fluctuation trend of the public area and the temperature fluctuation rate of the rental area under different fluctuation time periods on each floor; divide the temperature fluctuation rates corresponding to the closest fluctuation time periods on the same floor into one group; Substitute multiple groups of temperature fluctuation rate parameters on the same floor into the preset relationship model respectively, calculate the relationship coefficient of each tenant's room, and then construct a complete preset relationship model. The preset relationship model is specifically: Where a is the number of tenant rooms on the m floor, v mn is the air conditioning temperature rise rate of the nth room in the mth floor, v m总 is the total temperature rise rate of the rental area on the mth floor, is the relationship coefficient of the nth room in the mth floor, V m is the temperature rise rate of the public area on the mth floor, f(v m总 ) is the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area on the mth floor; The air conditioning panel data of each rental area on the monitoring floor is substituted into the relationship model of the corresponding floor, the air conditioning temperature rise rate of the public area is predicted, the predicted public area air conditioning temperature rise rate of each floor is obtained, and the temperature rise rate of the air conditioning in the lobby is obtained by substituting it into the lobby air conditioning temperature rise rate prediction model. The lobby air conditioning temperature rise rate prediction model is specifically as follows: Among them, V m0 is the lobby air conditioning temperature rise rate, b is the number of floors, θ is the cumulative coefficient of floor temperature rise on the lobby, and η is the lobby air exchange constant; when the predicted lobby air conditioning temperature rise rate is less than the preset rate threshold, the lobby air conditioning temperature is increased; when the predicted public area air conditioning temperature rise rate is less than the preset rate threshold, the public area air conditioning temperature is increased.

2. A method for controlling public area air conditioning based on usage of rented area air conditioning according to claim 1, characterized in that: The relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area in the preset relationship model on the mth floor is specifically: Among them, A is the relationship proportional coefficient, B is the relationship translation coefficient, δ is the preset constant value of the temperature rise in the common area, α is the minimum threshold, and β is the maximum threshold.

3. A public area air conditioning control system based on the usage of air conditioning in the rental area, characterized in that: include: The data processing module is used to obtain the historical data of the air conditioning panels in the public area and the air conditioning panels in the rental area on each floor, and obtain the temperature change curves of the public area and the temperature change curves of the rental area; respectively identify the temperature fluctuation intervals and corresponding fluctuation time periods in the temperature change curves of the public area and the rental area, and calculate the temperature fluctuation rate, and obtain the temperature fluctuation trend of the public area and the temperature fluctuation rate of the rental area under different fluctuation time periods on each floor; divide the temperature fluctuation rates corresponding to the closest fluctuation time periods on the same floor into one group; The model building module is used to substitute multiple groups of temperature fluctuation rate parameters on the same floor into the preset relationship model, calculate the relationship coefficient of each tenant's room, and then build a complete preset relationship model. The preset relationship model is specifically: Where a is the number of tenant rooms on the m floor, v mn is the air conditioning temperature rise rate of the nth room in the mth floor, v m总 is the total temperature rise rate of the rental area on the mth floor, is the relationship coefficient of the nth room in the mth floor, V m is the temperature rise rate of the public area on the mth floor, f(v m总 ) is the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area on the mth floor; The public area air conditioning control module is used to monitor the air conditioning panel data of each rental area on the floor, and substitute it into the relationship model of the corresponding floor, predict the air conditioning temperature rise rate of the public area, obtain the predicted public area air conditioning temperature rise rate of each floor, and substitute it into the lobby air conditioning temperature rise rate prediction model to obtain the lobby air conditioning temperature rise rate. The lobby air conditioning temperature rise rate prediction model is specifically: Among them, V m0 is the lobby air conditioning temperature rise rate, b is the number of floors, θ is the cumulative coefficient of floor temperature rise on the lobby, and η is the lobby air exchange constant; when the predicted lobby air conditioning temperature rise rate is less than the preset rate threshold, the lobby air conditioning temperature is increased; when the predicted public area air conditioning temperature rise rate is less than the preset rate threshold, the public area air conditioning temperature is increased.

4. A public area air conditioning control system based on the usage of air conditioning in the rental area according to claim 3, characterized in that: In the model building module, the relationship function between the total temperature rise rate of the rental area and the temperature rise rate of the public area in the preset relationship model on the mth floor is specifically: Among them, A is the relationship proportional coefficient, B is the relationship translation coefficient, δ is the preset constant value of the temperature rise in the common area, α is the minimum threshold, and β is the maximum threshold.

5. A public area air conditioning control device based on the usage of air conditioning in the rented area, characterized in that: The device comprises a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute a public area air conditioning control method based on the usage of the rented area air conditioning as described in any one of claims 1-2 according to the instructions in the program code.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store program codes, and the program codes are used to execute a method for controlling public area air conditioning based on usage of rented area air conditioning as described in any one of claims 1-2.

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