Intelligent air conditioner group control method and system based on cloud computing

Abstract

The invention discloses an intelligent air conditioner group control method and system based on cloud computing, and the method comprises the steps: dividing air conditioners in a hotel hall into a plurality of regions according to the distribution positions of air supply outlets, setting heat isolation layers after customers enter a hotel gate, dividing the plurality of regions into the levels of the heat isolation layers, the different levels of the heat isolation layer are controlled to be within the set temperature value when the customers pass by the corresponding areas, the real-time temperature of the different areas in the hall after the customers enter the hotel hall is monitored and analyzed, and the influence condition of the external temperature on the different areas in the hall can be accurately predicted; different areas are divided and screened according to heat isolation layers, the control and adjustment capacity of air conditioner group control on the temperatures of different positions is improved, finally, an air supply outlet is controlled to adjust the temperature based on the division result, and the possibility that customers feel uncomfortable due to the temperature difference is reduced. The system has the characteristics of high monitoring precision and high humanization degree.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent group control, and in particular to an intelligent air-conditioning group control method and system based on cloud computing. Background Art

[0002] The intelligent air conditioning group control system is a system that controls and adjusts the central air conditioning system through automatic control technology. The system is composed of advanced sensors, actuators, controllers, communication equipment, etc. Its main functions include: monitoring and adjusting parameters such as temperature, humidity, pressure, comparative adjustment of indoor and outdoor temperatures, system troubleshooting and maintenance, etc.

[0003] Since the intelligent air conditioning group control system can comprehensively, accurately and efficiently control the regional temperature, it is widely used in hotels. In the prior art, the air conditioning group control system regularly monitors the guests in the hotel, predicts the guests' physical needs and adjusts the indoor temperature. However, when the guests enter the hotel, the temperature difference between indoor and outdoor is too large, and it is difficult for the body to adapt quickly, which may easily lead to physical discomfort for the guests. In particular, when the guests sweat outdoors and enter the hotel's air-conditioned environment, the evaporation of sweat takes away the heat and causes the body temperature to drop. Therefore, it is very necessary to design a cloud computing-based intelligent air conditioning group control method and system with high monitoring accuracy and high humanization. Summary of the invention

[0004] The object of the present invention is to provide a cloud computing-based intelligent air conditioning group control method and system to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a cloud computing-based intelligent air conditioning group control method and system, comprising: The air conditioner in the hotel lobby is divided into multiple areas according to the distribution positions of the air outlets, and the environmental data of the multiple areas are collected respectively, and the environmental data is used to monitor the influence of the external heat on the areas; Predicting temperature values ​​of the plurality of areas, setting a thermal isolation layer after the customer enters the hotel door based on the temperature values ​​of the plurality of areas, and sequentially dividing the plurality of areas into levels of the thermal isolation layer according to the environmental data of the plurality of areas; The different levels of the thermal insulation layer are controlled to be within the set temperature value when the customer passes through the corresponding area.

[0006] According to the above technical solution, the air conditioners in the hotel lobby are divided into multiple areas according to the distribution positions of the air outlets, including: Obtain the position points of different air supply outlets in the hotel lobby and the effective coverage area of the air supply outlets. The effective coverage area of the air supply outlet is used to divide the area value where the cold air is transported by the current air supply outlet at the current position in the hotel lobby floor plan so that the temperature value is within the normal standard. Connect the position points of the different air supply outlets to the hotel entrance in the hotel lobby floor plan. Arrange the position points of the different air supply outlets in descending order according to the connection line length, obtain the length value of the connection line in the effective coverage area, and select A of the adjacent length values among the position points arranged in descending order in sequence, where i is a variable value, and the specific value of A i is affected by the width of the hotel entrance entering the hotel lobby and the width of the effective coverage area of the air supply outlet in the same direction as the width of the hotel lobby. i Mark the A position points of the selected adjacent length values as the areas, and mark the multiple areas in sequence. Mark the A position points of the selected adjacent length values as the areas, and mark the multiple areas in sequence. i Mark the A position points of the selected adjacent length values as the areas, and mark the multiple areas in sequence.

[0007] According to the above technical solution, respectively collect the environmental data of the multiple areas, including: Collect the environmental data of the hotel entrance area. The environmental data includes the air supply distance and the direct solar temperature data in the hotel entrance area. The direct solar temperature data is used to detect the heat diffusion speed within the average opening time under the temperature difference condition.

[0008] According to the above technical solution, dividing the air conditioners in the hotel lobby into multiple areas according to the distribution position of the air supply outlets further includes: Obtain the average opening time and average opening area of the hotel entrance when a customer enters the hotel entrance. Based on obtaining the heat diffusion speed within the average opening time under the temperature difference condition, multiply the diffusion speed by the average opening time to obtain the diffusion distance as f; Compare the corresponding connection line length in the area with the diffusion distance f, mark the corresponding area where the connection line length is greater than the diffusion distance, and analyze the extension situation of the diffusion distance f in different directions in the corresponding area; Obtain the temperature difference between the average temperature of each module in the hotel and the average temperature outside the hotel in real time. Input the temperature difference information into the preset heat transfer model of the hotel glass curtain wall material in the database. After receiving the temperature difference information, the heat transfer model outputs the heat consumption value of each area in the hotel at intervals. Obtain the additional heat value generated after reaching the corresponding area after the diffusion distance f within the interval time period, add the additional heat value to the heat consumption value of the corresponding area within the interval time period to obtain the total heat value, input the total heat value, the current temperature value, and the interval time period value into the temperature prediction database, and obtain the temperature value of the corresponding area after the interval time period.

[0009] According to the above technical solution, a heat insulation layer is provided after the customer enters the target door, and the multiple areas are sequentially divided into levels of the heat insulation layer based on the environmental data of the multiple areas, including: Obtain the action model when the customer enters the hotel door, predict the movement trajectory of the customer when entering the hotel, predict the movement trajectory of the customer and mark it on the hotel lobby floor plan, and mark the entry points and exit points of the customer's movement trajectory and the multiple areas as X1, X2... X k , Y1, Y2... Y k , where k is the number of areas of the multiple areas, and the specific value of k is determined according to the number value A of the position points selected for each area i ; Based on the air supply distance, statistically obtain the distance value data between the entry point x1 and the exit point Y1 of the customer in the area and the air supply outlet, set the data higher than the air supply outlet limit data as the first isolation layer, and set the data lower than the air supply outlet limit data as the second isolation layer; Sequentially obtain the first isolation layer and the second isolation layer of the multiple areas.

[0010] According to the above technical solution, controlling different levels of the heat insulation layer to be within a set temperature value when the customer passes through the corresponding area includes: Sequentially extract the temperature values of the target area after the interval time period, reduce the wind force when the customer passes through the first isolation layer, increase the wind force when the customer passes through the second isolation layer, and control the temperature value of the customer when passing through the multiple areas to decrease from high to low.

[0011] According to the above technical solution, an intelligent air conditioner group control system based on cloud computing includes: A collection module, which is used to divide the air conditioners in the hotel lobby into multiple areas according to the distribution positions of the air supply outlets, and respectively collect the environmental data of the multiple areas. The environmental data is used to monitor the influence of the outside heat on the area; A division module, which is used to predict the temperature values of the multiple areas, set a heat insulation layer after the customer enters the hotel door based on the temperature values of the multiple areas, and sequentially divide the multiple areas into levels of the heat insulation layer through the environmental data of the multiple areas; A control module, which is used to control different levels of the heat insulation layer to be within a set temperature value when the customer passes through the corresponding area.

[0012] According to the above technical solution, the acquisition module includes: A first acquisition module, which is used to obtain the position points of different air supply outlets in the hotel lobby and the effective coverage area of the air supply outlets. The effective coverage area of the air supply outlet is used to divide the area value where the cold air is transported by the current air supply outlet at the current position so that the temperature value is within the normal standard in the hotel lobby floor plan; connect the position points of different air supply outlets to the hotel entrance in the hotel lobby floor plan, and sort the position points of different air supply outlets in descending order according to the connection length, obtain the length value of the connection in the effective coverage area, and select A of the adjacent length values in the position points arranged in descending order. i The number of position points, where i is a variable value, and the specific value of A i is affected by the width of the hotel entrance entering the hotel lobby and the width of the effective coverage area of the air supply outlet in the same direction as the width of the hotel lobby; mark the A i position points of the selected adjacent length values as the area, and mark the multiple areas in sequence; An analysis module, which is used to obtain the average opening time and average opening area of the hotel entrance when the customer enters the hotel entrance, and based on the diffusion speed of heat within the average opening time under the obtained temperature difference, multiply the diffusion speed by the average opening time to obtain a diffusion distance of f; Compare the corresponding connection length in the area with the diffusion distance f, mark the corresponding area where the connection length is greater than the diffusion distance, and analyze the extension of the diffusion distance f in different directions within the corresponding area; Obtain the temperature difference between the average temperature of each module of the hotel and the average temperature outside the hotel in real time, input the temperature difference information into a preset heat transfer model of the hotel glass curtain wall material in the database. After receiving the temperature difference information, the heat transfer model outputs the heat consumption value of each area of the hotel within an interval period; Obtain the additional heat value generated after reaching the corresponding area after passing through the diffusion distance f within the interval period, add the additional heat value to the heat consumption value of the corresponding area within the interval period to obtain the total heat value, and input the total heat value, the current temperature value, and the time value of the interval period into the temperature prediction database to obtain the temperature value of the corresponding area after the interval period.

[0013] According to the above technical solution, the division module includes: A first partitioning module, which is configured to mark the entry points and exit points of the customer's movement trajectory and the multiple regions as X1, X2... X k , Y1, Y2... Y k , where k is the number of regions of the multiple regions, and the specific value of k is determined according to the number value A of the position points selected for each region i ; A second partitioning module, which is configured to statistically obtain, based on the air supply distance, the distance value data between the entry point x1 and the exit point Y1 of the customer in the region and the air supply outlet, set those higher than the air supply outlet boundary data as the first isolation layer, and set those lower than the air supply outlet boundary data as the second isolation layer; and sequentially obtain the first isolation layer and the second isolation layer of the multiple regions.

[0014] According to the above technical solution, the control module includes: An extraction module, which is configured to sequentially extract the temperature values of the target region after the interval time period; A wind force control module, which is configured to reduce the wind force when the customer passes through the first isolation layer, increase the wind force when the customer passes through the second isolation layer, and control the temperature values of the customer passing through the multiple regions to decrease from high to low.

[0015] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In the present invention, by monitoring and analyzing the real-time temperatures of different regions in the hotel lobby after the customer enters the lobby, it is possible to accurately predict the influence of the outside temperature on different regions in the lobby, providing a favorable basis for the intelligent air-conditioning group control of the hotel; at the same time, by partitioning different regions according to the heat isolation layer, screening out the temperature adjustment conditions of the air supply outlet at different positions of the heat isolation layer, increasing the control and adjustment ability of the air-conditioning group control for the temperatures at different positions, and finally controlling the air supply outlet to adjust the temperature based on the partitioning result, reducing the temperature difference after the customer enters the hotel, reducing the possibility of the customer feeling unwell due to the temperature difference, and improving the customer experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention, and do not constitute a limitation to the present invention. In the drawings: Figure 1 is a flowchart of an intelligent air-conditioning group control method based on cloud computing provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] Please refer to Figure 1 , which is a flowchart of an intelligent air-conditioning group control method based on cloud computing provided by an embodiment of the present invention. As Figure 1 can be seen, the intelligent air-conditioning group control method based on cloud computing includes: Step S1: Divide the air conditioners in the hotel lobby into multiple areas according to the distribution positions of the air supply outlets, and collect the environmental data of the multiple areas respectively. The environmental data is used to monitor the influence of the outside heat on the area; Step S2: Predict the temperature values of the multiple areas, set a heat isolation layer based on the temperature values of the multiple areas after the customers enter the hotel gate, and sequentially divide the multiple areas into levels of the heat isolation layer through the environmental data of the multiple areas; Step S3: Use the air supply outlet to adjust the wind direction and progressive wind force to control different levels of the heat isolation layer to be within the set temperature value when passing through the corresponding areas of the customers.

[0019] In the embodiments of the present invention, by monitoring and analyzing the real-time temperatures of different areas in the hotel lobby after the customers enter the hotel, it is possible to accurately predict the influence of the outside temperature on different areas in the lobby, providing a favorable basis for the intelligent air-conditioning group control of the hotel; at the same time, by dividing different areas according to the heat isolation layer, screening out the temperature adjustment of the air supply outlet to different positions of the heat isolation layer, increasing the control and adjustment ability of the air-conditioning group control for the temperatures of different positions, and finally controlling the air supply outlet to adjust the temperature based on the division result, reducing the temperature difference after the customers enter the hotel, reducing the possibility of the customers feeling unwell due to the temperature difference, and improving the customer experience.

[0020] In some preferred embodiments, the dividing the air conditioners in the hotel lobby into multiple areas according to the distribution positions of the air supply outlets includes: Step S101: Obtain the position points of different air supply outlets in the hotel lobby and the effective coverage area of the air supply outlets. The effective coverage area of the air supply outlet is used to divide the area value where the current air supply outlet conveys cold air and the temperature value at the current position is within the normal standard in the hotel lobby floor plan; Step S102: Connect the position points of the different air supply outlets to the hotel entrance in the floor plan of the hotel lobby. Arrange the position points of the different air supply outlets in descending order according to the connection length, obtain the length value of the connection within the effective coverage area, and select A adjacent length values among the position points arranged in descending order in sequence, where i is a variable value, and the specific value of A is affected by the width of the hotel entrance into the hotel lobby and the width of the effective coverage area of the air supply outlet in the same direction as the width of the hotel lobby; i i i The specific value of is affected by the width of the hotel entrance into the hotel lobby and the width of the effective coverage area of the air supply outlet in the same direction as the width of the hotel lobby; Step S103: Mark the A position points of the selected adjacent length values as the regions, and mark the multiple regions in sequence. i position points as the regions, and mark the multiple regions in sequence.

[0021] Assume that the hotel entrance is on the left and leads to the hotel lobby to the right. The hotel lobby is a 5*7 area, and the areas are represented by numbers respectively. The schematic diagram of the divided multiple area planes is as follows: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 As shown in the schematic diagram of the multiple area planes, the position of the hotel entrance is at 15. If the hotel air supply outlets are at the positions of 3, 16, 31, 12, 26, 14, 28, arrange the position points of the different air supply outlets in descending order according to the connection length as 28, 14, 26, 12, 3, 31, 16. The effective coverage area of the air supply outlets at 3, 31, 14, 28 is within a circle with adjacent digital unit lengths, and the effective coverage area of the air supply outlets at 16, 12, 26 is within a square with adjacent digital unit lengths. Obtain the length values of the connections within the effective coverage area as 1, 1, 、 、1, 1, , then select 3, 2, 2 position points of adjacent length values among the position points arranged in descending order, that is, mark the multiple regions as: Region 1: 1 2 3 8 9 10 15 16 17 22 23 24 29 30 31 Region 2: 4 5 6 11 12 13 18 19 20 25 26 27 32 33 34 Area Three: 7 14 21 28 35 In some preferred embodiments, the separately collecting the environmental data of the multiple regions includes: Step S11: Collect the environmental data of the area at the hotel entrance, where the environmental data includes the air supply distance and the direct solar temperature data of the area inside the hotel entrance. The direct solar temperature data is used to detect the heat diffusion speed within the average opening time under the temperature difference.

[0022] For the change in the direct solar temperature, under normal circumstances, the hotel entrance is composed of glass, so part of the sunlight will enter the hotel interior. The area directly irradiated by sunlight, i.e., the area close to the hotel window or glass curtain wall, may have a relatively high temperature due to the influence of sunlight irradiation. Based on the temperature difference between the temperature inside the module at the hotel entrance and the outside temperature, obtain the influence of direct solar radiation on the temperature inside the hall, and perform secondary adjustment on the area temperature when passing through the area. Door and window opening and closing: In the area near the entrance and exit, due to the frequent opening and closing of the door, cold air is lost, and the temperature may be relatively high.

[0023] In some preferred embodiments, the dividing the air conditioners in the hotel hall into multiple regions according to the distribution positions of the air supply outlets further includes: Step S111: Obtain the average opening time and average opening area of the hotel door when a customer enters the hotel door. Based on obtaining the heat diffusion speed within the average opening time under the temperature difference, multiply the diffusion speed by the average opening time to obtain the diffusion distance f. Step S112: Compare the corresponding connection line length in the area with the diffusion distance f, mark the corresponding area where the connection line length is greater than the diffusion distance, and analyze the extension conditions of the diffusion distance f in different directions within the corresponding area. The simulation results of the temperature in the two-dimensional geometric shape, when a single convection cell is filled and the air flows around the edge, at this time, the air flows faster where the temperature difference is the largest on the left and right sides.

[0024] Step S113: Real-time obtain the temperature difference between the average temperature of each module in the hotel and the average temperature outside the hotel, input the temperature difference information into the preset heat transfer model of the hotel glass curtain wall material in the database. After receiving the temperature difference information, the heat transfer model outputs the heat consumption values of each area in the hotel at intervals. Step S114: Obtain the additional heat value generated after reaching the corresponding area after the diffusion distance f within the interval time period, add the additional heat value to the heat consumption value of the corresponding area within the interval time period to obtain the total heat value, input the total heat value, the current temperature value, and the interval time period value into the temperature prediction database, and obtain the temperature value of the corresponding area after the interval time period.

[0025] The heat consumption of each module within the interval time period is fixed. After the customer enters the target door, the module closest to the target door will be affected by the heat leakage of the target door, resulting in a higher heat consumption.

[0026] In some preferred embodiments, a heat isolation layer is provided after the customer enters the target door. The multiple areas are sequentially divided into levels of the heat isolation layer according to the environmental data of the multiple areas, including: Step S21: Obtain the action model when the customer enters the hotel door, predict the movement trajectory of the customer when entering the hotel, predict the movement trajectory of the customer and mark it on the hotel lobby floor plan. The physical model includes a dynamic model and a kinematic model, which are used to describe the movement law of the target, and infer the real-time position point after entering the hotel lobby in the future according to the current action state of the customer; Step S22: Mark the movement trajectory of the customer and the entry points and exit points of the multiple areas as X1, X2... X k , Y1, Y2... Y k , where k is the number of areas of the multiple areas, and the specific value of k is determined according to the number value A of the position points selected for each area i ; Step S23: Based on the air supply distance, statistically obtain the distance value data between the entry point x1 and the exit point Y1 of the customer in the area and the air supply outlet, set the data higher than the air supply outlet limit data as the first isolation layer, and set the data lower than the air supply outlet limit data as the second isolation layer; Step S24: According to Step S23, sequentially obtain the first isolation layer and the second isolation layer of the multiple areas.

[0027] The air supply distance is related to the closest distance from the hotel entrance to the air outlet. The temperature of the area closer to the air supply outlet of the air supply distance is lower, and the temperature of the farther area is higher. The air supply distance is L, and the air supply distance is fixed, but the air outlet angle of the air supply distance can be adjusted. By adjusting the air outlet angle, the temperature around the customer entering the hotel door can be adjusted; The space pedestrian flow is related to the total number of people in the hotel lobby and the population distribution of each module. In areas with a large pedestrian flow, the population density is high, which will cause an increase in heat and a relatively high temperature. The population density is obtained as ρ. Based on the comparison between the predicted target module that the customer will go to and the module with the largest pedestrian flow, the temperature of the module when the customer passes through the module is adjusted.

[0028] In some preferred embodiments, controlling different levels of the heat insulation layer to be within a set temperature value when the customer passes through the corresponding area includes: Step S31: Sequentially extract the temperature values of the target area after the interval period. Reduce the wind force when the customer passes through the first insulation layer, increase the wind force when the customer passes through the second insulation layer, and control the temperature values of the customer passing through the multiple areas to decrease from high to low.

[0029] When the customer passes through a single area, first, the actual temperature value of the customer passing through the area within the single area is adjusted to a difference lower than the set temperature difference by the air supply outlet for the first insulation layer and the second insulation layer within the single area. The temperature of the insulation layer closer to the hotel entrance is higher, and the temperature of the insulation layer farther from the hotel entrance is lower; then, by adjusting the temperature when the customer passes through adjacent areas, the actual temperature values of the customer passing through adjacent areas are adjusted to a difference lower than the set temperature difference, and at the same time, the temperature of the area closer to the hotel entrance is higher, and the temperature of the area farther from the hotel entrance is lower.

[0030] In a preferred embodiment, the air supply outlet is used to adjust the wind direction and progressive wind force. According to the customer position information, the output position of the air supply outlet wind direction is controlled in real time. Based on the power data of the current progressive wind force of the air supply outlet, the position where the customer is located when the cold air reaches the ground after the air supply outlet outputs cold air is obtained. The position of the cold air is controlled in real time in front of the customer's movement route. The time when the customer reaches the position of the cold air is less than 1 / g of the interval period, where g is the set time limit value for the customer's perceived temperature, which is used to detect the time when the customer feels the ambient temperature under the current ambient temperature. When the time when the customer reaches the position of the cold air is less than 1 / g of the interval period, the customer can feel the set normal temperature when reaching the position, reducing the possibility of physical discomfort.

[0031] The devices that can be used for control in the hotel lobby are: the wind direction and wind force control device of the air supply outlet, the air conditioner group control power adjustment device, and the output position adjustment device.

[0032] Based on the same concept as the above embodiments, an embodiment of the present invention also provides an intelligent air conditioner group control system based on cloud computing, including: A collection module, which is used to divide the air conditioners in the hotel lobby into multiple areas according to the distribution positions of the air supply outlets, and respectively collect the environmental data of the multiple areas. The environmental data is used to monitor the influence of the outside heat on the area; A division module, which is used to predict the temperature values of the multiple areas, set a heat isolation layer based on the temperature values of the multiple areas after a customer enters the hotel gate, and sequentially divide the multiple areas into levels of the heat isolation layer through the environmental data of the multiple areas; A control module, which is used to control different levels of the heat isolation layer to be within a set temperature value when the customer passes through the corresponding area.

[0033] In this embodiment, the collection module includes: A first collection module, which is used to obtain the position points of different air supply outlets in the hotel lobby and the effective coverage area of the air supply outlets. The effective coverage area of the air supply outlet is used to divide the area value where the current air supply outlet conveys cold air and the temperature value at the current position is within the normal standard in the hotel lobby floor plan; connect the position points of different air supply outlets to the hotel gate in the hotel lobby floor plan, sort the position points of different air supply outlets in descending order according to the connection line length, obtain the length value of the connection line in the effective coverage area, and sequentially select A i position points with adjacent length values among the position points in the descending order, where i is a variable value, and the specific value of A i is affected by the width of the hotel gate entering the hotel lobby and the width of the effective coverage area of the air supply outlet in the same direction as the width of the hotel lobby; mark the A i position points with adjacent length values as the area, and sequentially mark the multiple areas; An analysis module, which is used to obtain the average opening time and average opening area of the hotel gate when a customer enters the hotel gate, and based on the heat diffusion speed within the average opening time under the condition of the temperature difference, multiply the diffusion speed by the average opening time to obtain a diffusion distance of f; Compare the corresponding connection line length in the area with the diffusion distance f, mark the corresponding area where the connection line length is greater than the diffusion distance, and analyze the extension situation of the diffusion distance f in different directions within the corresponding area; Real-time obtain the temperature difference between the average temperature of each module of the hotel and the average temperature outside the hotel, input the temperature difference information into a preset heat transfer model of the hotel glass curtain wall material in the database. After receiving the temperature difference information, the heat transfer model outputs the heat consumption value of each area of the hotel within an interval time period; Obtain the additional heat value generated after reaching the corresponding area after the diffusion distance f within the interval time period, add the additional heat value to the heat consumption value of the corresponding area within the interval time period to obtain the total heat value, input the total heat value, the current temperature value, and the interval time period value into the temperature prediction database, and obtain the temperature value of the corresponding area after the interval time period.

[0034] In this embodiment, the partitioning module includes: The first partitioning module is used to mark the entry points and exit points of the customer's movement trajectory and the multiple areas as X1, X2... X k , Y1, Y2... Y k , where k is the number of areas of the multiple areas, and the specific value of k is determined according to the number value A of the position points selected for each area i ; The second partitioning module is used to statistically obtain the distance value data between the customer's entry point x1 and exit point Y1 in the area and the air supply outlet based on the air supply distance, set the data higher than the air supply outlet limit data as the first isolation layer, and set the data lower than the air supply outlet limit data as the second isolation layer; sequentially obtain the first isolation layer and the second isolation layer of the multiple areas.

[0035] In this embodiment, the control module includes: The extraction module is used to sequentially extract the temperature values of the target area after the interval time period; The wind force control module is used to reduce the wind force when the customer passes through the first isolation layer, increase the wind force when the customer passes through the second isolation layer, and control the temperature value of the customer when passing through the multiple areas to decrease from high to low.

[0036] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprises", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not expressly listed, or elements inherent to such process, method, article or device.

[0037] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A cloud computing-based intelligent air conditioning group control method, characterized in that: include: The air conditioner in the hotel lobby is divided into multiple areas according to the distribution positions of the air outlets, and the environmental data of the multiple areas are collected respectively, and the environmental data is used to monitor the influence of the external heat on the areas; Predicting temperature values ​​of the plurality of areas, setting a thermal isolation layer after the customer enters the hotel door based on the temperature values ​​of the plurality of areas, and sequentially dividing the plurality of areas into levels of the thermal isolation layer according to the environmental data of the plurality of areas; The different levels of the thermal insulation layer are controlled to be within the set temperature value when the customer passes through the corresponding area.

2. According to the cloud computing-based intelligent air conditioning group control method of claim 1, it is characterized by: The air conditioners in the hotel lobby are divided into multiple areas according to the distribution of air outlets, including: Obtaining the location points of different air outlets in the hotel lobby and the effective coverage areas of the air outlets, wherein the effective coverage areas of the air outlets are used to divide the area value of the temperature value at the current location under normal standards when the current air outlet delivers cold air in the hotel lobby plan; Connect the location points of the different air outlets with the hotel gate in the hotel lobby plan, arrange the location points of the different air outlets in descending order according to the length of the connection line, obtain the length value of the connection line in the effective coverage area, and select the length values ​​of adjacent length values ​​in the location points arranged in descending order. i location points, where i is a variable value, A i The specific value of is affected by the width of the hotel entrance into the hotel lobby and the width of the effective coverage area of ​​the air supply outlet in the same direction of the width of the hotel lobby; The selected adjacent length value A i The plurality of locations are marked as the regions, and the plurality of regions are marked in sequence.

3. The intelligent air conditioning group control method based on cloud computing according to claim 1, characterized in that: The collecting of environmental data of the plurality of areas respectively comprises: Collect environmental data of the hotel entrance area, the environmental data including the air supply distance and direct sunlight temperature data of the hotel entrance area, the direct sunlight temperature data is used to detect the diffusion speed of heat within the average opening time under the condition of temperature difference.

4. The method for controlling a group of intelligent air conditioners based on cloud computing according to claim 3 is characterized in that: The method of dividing the air conditioner in the hotel lobby into a plurality of areas according to the distribution positions of the air outlets also includes: Obtain an average opening time and an average opening area of ​​the hotel door when a customer enters the hotel door, obtain a diffusion speed of heat within the average opening time under the temperature difference, and multiply the diffusion speed by the average opening time to obtain a diffusion distance f; Compare the corresponding line length in the region with the diffusion distance f, mark the corresponding region where the line length is greater than the diffusion distance, and analyze the extension of the diffusion distance f in the corresponding region in different directions in turn; The temperature difference between the average temperature of each module of the hotel and the average temperature outside the hotel is obtained in real time, and the temperature difference information is input into a preset heat transfer model of the hotel's glass curtain wall material in a database. After receiving the temperature difference information, the heat transfer model outputs the heat consumption value of each area of ​​the hotel in the interval time period; Obtain the additional heat value generated after reaching the corresponding area after passing the diffusion distance f in the interval time period, add the consumed heat value of the corresponding area in the interval time period to the additional heat value to obtain the total heat value, input the total heat value, the current temperature value and the interval time period value into the temperature prediction database, and obtain the temperature value of the corresponding area after the interval time period.

5. The method for intelligent air conditioning group control based on cloud computing according to claim 2, characterized in that: The step of setting a heat isolation layer after the customer enters the target door and sequentially dividing the multiple areas into levels of the heat isolation layer according to the environmental data of the multiple areas includes: Obtaining a motion model of a customer when entering a hotel door, and predicting the motion trajectory of the customer when entering the hotel, predicting the motion trajectory of the customer and marking it in the floor plan of the hotel lobby; Mark the customer's movement trajectory and the entry and exit points of the multiple areas as X1, X2, ..., X k , Y1, Y2...Y k , where k is the number of regions in the plurality of regions, and the specific value of k is selected according to the number of position points A in each region i The size of the Based on the air supply distance, the distance value data of the customer from the entry point x1 to the exit point Y1 in the area and the air supply outlet are counted, and the data above the air supply outlet boundary data is set as the first isolation layer, and the data below the air supply outlet boundary data is set as the second isolation layer; The first isolation layers and the second isolation layers of the multiple regions are acquired in sequence.

6. The method for group control of intelligent air conditioners based on cloud computing according to claim 5, characterized in that: The controlling the different levels of the thermal insulation layer to be within the set temperature value when the customer passes through the corresponding area includes: The temperature values ​​of the target area after the interval time period are extracted in sequence, the wind speed is reduced when the customer passes through the first isolation layer, and the wind speed is increased when the customer passes through the second isolation layer, so as to control the temperature values ​​of the customer passing through the multiple areas from high to low.

7. An intelligent air conditioning group control system based on cloud computing, characterized in that: include: A collection module, the collection module is used to divide the air conditioner in the hotel lobby into multiple areas according to the distribution positions of the air outlets, and collect environmental data of the multiple areas respectively, and the environmental data is used to monitor the influence of external heat on the areas; a division module, the division module being used to predict the temperature values ​​of the plurality of areas, to set a thermal isolation layer after the customer enters the hotel door based on the temperature values ​​of the plurality of areas, and to sequentially divide the plurality of areas into levels of the thermal isolation layer according to the environmental data of the plurality of areas; A control module is used to control the different levels of the thermal insulation layer to be within a set temperature value when the customer passes through the corresponding area.

8. The cloud computing-based intelligent air conditioning group control system according to claim 7, characterized in that: The acquisition module comprises: The first acquisition module is used to obtain the location points of different air outlets in the hotel lobby and the effective coverage area of ​​the air outlets, and the effective coverage area of ​​the air outlets is used to divide the area value of the temperature value at the current location under the normal standard when the current air outlet delivers cold air in the hotel lobby plan; the location points of the different air outlets are connected with the hotel gate in the hotel lobby plan, and the location points of the different air outlets are arranged in descending order according to the length of the connection line, and the length value of the connection line in the effective coverage area is obtained, and the length value is selected in sequence from the location points arranged in descending order. i location points, where i is a variable value, A i The specific value of is affected by the width of the hotel entrance into the hotel lobby and the width of the effective coverage area of ​​the air outlet in the same direction of the width of the hotel lobby; the selected adjacent length values ​​A i mark the location points as the areas, and mark the multiple areas in sequence; An analysis module, the analysis module is used to obtain the average opening time and average opening area of ​​the hotel door when the customer enters the hotel door, based on obtaining the diffusion speed of heat within the average opening time under the temperature difference, and multiplying the diffusion speed by the average opening time to obtain a diffusion distance f; Compare the corresponding line length in the region with the diffusion distance f, mark the corresponding region where the line length is greater than the diffusion distance, and analyze the extension of the diffusion distance f in the corresponding region in different directions in turn; The temperature difference between the average temperature of each module of the hotel and the average temperature outside the hotel is obtained in real time, and the temperature difference information is input into a preset heat transfer model of the hotel's glass curtain wall material in a database. After receiving the temperature difference information, the heat transfer model outputs the heat consumption value of each area of ​​the hotel in the interval time period; Obtain the additional heat value generated after reaching the corresponding area after passing the diffusion distance f in the interval time period, add the consumed heat value of the corresponding area in the interval time period to the additional heat value to obtain the total heat value, input the total heat value, the current temperature value and the interval time period value into the temperature prediction database, and obtain the temperature value of the corresponding area after the interval time period.

9. The cloud computing-based intelligent air conditioning group control system according to claim 8, characterized in that: The division module comprises: The first division module is used to mark the customer's movement trajectory and the entry and exit points of the multiple areas as X1, X2, ..., X k , Y1, Y2...Y k , where k is the number of regions in the plurality of regions, and the specific value of k is selected according to the number of position points A in each region i The size of the The second division module is used to count the distance value data of the customer from the entry point x1 to the exit point Y1 in the area and the air outlet based on the air supply distance, set the data above the air outlet boundary as the first isolation layer, and set the data below the air outlet boundary as the second isolation layer; and sequentially obtain the first isolation layer and the second isolation layer of the multiple areas.

10. The cloud computing-based intelligent air conditioning group control system according to claim 9, characterized in that: The control module comprises: An extraction module, the extraction module is used to sequentially extract the temperature value of the target area after the interval time period; A wind control module is used to reduce the wind force when the customer passes through the first isolation layer, increase the wind force when the customer passes through the second isolation layer, and control the temperature value from high to low when the customer passes through the multiple areas.

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