CN117646984A - Air conditioner control method and device, electronic equipment and storage medium - Google Patents

Air conditioner control method and device, electronic equipment and storage medium Download PDF

Info

Publication number
CN117646984A
CN117646984A CN202311811886.3A CN202311811886A CN117646984A CN 117646984 A CN117646984 A CN 117646984A CN 202311811886 A CN202311811886 A CN 202311811886A CN 117646984 A CN117646984 A CN 117646984A
Authority
CN
China
Prior art keywords
air outlet
area
parameter
personnel
air conditioner
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311811886.3A
Other languages
Chinese (zh)
Inventor
黄荣伟
李绍斌
唐杰
王沅召
刘洋
刘玉玺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Gree Electric Appliances Inc of Zhuhai
Original Assignee
Gree Electric Appliances Inc of Zhuhai
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Gree Electric Appliances Inc of Zhuhai filed Critical Gree Electric Appliances Inc of Zhuhai
Priority to CN202311811886.3A priority Critical patent/CN117646984A/en
Publication of CN117646984A publication Critical patent/CN117646984A/en
Pending legal-status Critical Current

Links

Landscapes

  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses an air conditioner control method, an air conditioner control device, electronic equipment and a storage medium. The analysis result of each area is obtained by analyzing the obtained real-time people stream data, and the first parameters of each air outlet of the central air conditioner can be generated according to people stream conditions of different areas, so that the accurate air conditioner control of each area is realized. And generating a first control instruction based on the first parameter, and sending the first control instruction to a corresponding air outlet, so that the air outlet operates according to the indicated first parameter, and automatic control is realized. The manual intervention is reduced, and the automation degree and the operation efficiency of the air conditioning system are improved. Through accurate air conditioner control, intelligent adjustment is carried out according to people stream data in each area, and unnecessary energy consumption is reduced.

Description

Air conditioner control method and device, electronic equipment and storage medium
Technical Field
The invention relates to the field of intelligent control of equipment, in particular to an air conditioner control method, an air conditioner control device, electronic equipment and a storage medium.
Background
Central air conditioning systems are widely used in commercial and residential buildings to provide a comfortable indoor environment. However, the conventional central air conditioning system generally adopts a mode of uniformly distributing the air conditioner and the air conditioner cannot be accurately regulated according to the personnel distribution or activity condition of the indoor space. Therefore, the requirement of personnel change in different areas can not be met while the whole indoor temperature requirement is met, so that the temperature of partial areas is uneven and the comfort level is not high.
For example, a region may have a large concentration of people, and conventional central air conditioning systems may still provide uniform cooling or heating to the region, resulting in regions with too low or too high a temperature, which may affect comfort. In addition, for areas where people are dense, the central air conditioning system may supply excessive cooling/heating, resulting in energy waste.
Disclosure of Invention
In view of the above, the embodiments of the present invention provide an air conditioner control method, an apparatus, an electronic device, and a storage medium, so as to solve the problem that the existing central air conditioner cannot perform accurate regulation and control according to personnel distribution or activity conditions in an indoor space.
In a first aspect, an embodiment of the present invention provides an air conditioner control method, where the method is applied to a server, and the method includes:
acquiring real-time people stream data of each region in an indoor space, and analyzing the real-time people stream data to obtain analysis results corresponding to each region;
generating a first parameter corresponding to each air outlet of the central air conditioner by using the analysis result, wherein each air outlet of the central air conditioner corresponds to each area of the indoor space;
generating a first control instruction based on the first parameter;
and sending the first control instruction to a corresponding air outlet, wherein the air outlet is used for running according to a first parameter indicated by the first control instruction.
Further, the analyzing the real-time people stream data to obtain an analysis result corresponding to each region includes:
analyzing the real-time people stream data to obtain people stream conditions corresponding to the areas;
sequencing the people stream conditions corresponding to each region to obtain a region ranking corresponding to each region;
and generating the analysis result based on the people stream condition and the regional rank.
Further, the analyzing the real-time people stream data to obtain people stream conditions corresponding to the area includes:
extracting personnel behavior data, personnel positions and personnel moving directions from the real-time people stream data;
determining a person density within the area using the person location;
determining a person flow trend within the area using the person position and the person movement direction;
determining a person activity type within the area using the person behavior data;
the people stream condition is generated based on the people density, people flow trend, and people activity type.
Further, the generating, by using the analysis result, a first parameter corresponding to each air outlet of the central air conditioner includes:
determining a wind direction according to the regional rank and the personnel flow trend;
determining the wind size according to the personnel activity type and the personnel density;
and generating the first parameter based on the air outlet direction and the air outlet size.
Further, the determining the wind direction according to the regional rank and the people flow trend includes:
taking the region with the region rank larger than a preset rank as a target region;
acquiring azimuth information of the target area in the indoor space, and generating an initial air outlet direction according to the azimuth information;
and adjusting the initial wind outlet direction by utilizing the personnel flow trend to obtain the wind outlet direction.
Further, the determining the wind size according to the personnel activity type and the personnel density includes:
acquiring an initial air outlet size corresponding to the personnel activity type based on a mapping relation between a preset activity type and the air outlet size;
and adjusting the initial air outlet size by using the personnel density to obtain the air outlet size.
Further, after sending the first control instruction to the corresponding air outlet, the method further includes:
acquiring the use information corresponding to each area at the next moment;
updating the first parameter by using the use information to obtain a second parameter;
generating a second control instruction based on the second parameter;
and sending the second control instruction to a corresponding air outlet, wherein the air outlet is used for running according to a second parameter indicated by the second control instruction.
In a second aspect, an embodiment of the present invention provides an air conditioner control device, including:
the acquisition module is used for acquiring real-time people stream data of each area in the indoor space and analyzing the real-time people stream data to obtain analysis results corresponding to each area;
the processing module is used for generating first parameters corresponding to all air outlets of the central air conditioner by utilizing the analysis result, wherein all the air outlets of the central air conditioner correspond to all the areas of the indoor space;
the generation module is used for generating a first control instruction based on the first parameter;
the sending module is used for sending the first control instruction to a corresponding air outlet, wherein the air outlet is used for running according to a first parameter indicated by the first control instruction.
In a third aspect, an embodiment of the present invention provides an electronic device, including: the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions to perform the method of the first aspect or any implementation manner corresponding to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of the first aspect or any of its corresponding embodiments.
According to the method provided by the embodiment of the application, the distribution situation of personnel in the area can be known in real time by acquiring and analyzing the real-time people stream data of each area in the indoor space. The analysis results of all the areas are obtained by analyzing the obtained real-time people stream data, and the first parameters of all the air outlets of the central air conditioner can be generated according to the people stream conditions of different areas, so that the accurate air conditioner control of each area is realized, and the comfort level and the energy-saving effect of indoor air are improved. And generating a first control instruction based on the first parameter, and sending the first control instruction to a corresponding air outlet, so that the air outlet operates according to the indicated first parameter, and automatic control is realized. The manual intervention is reduced, and the automation degree and the operation efficiency of the air conditioning system are improved. Through accurate air conditioner control, intelligent adjustment is carried out according to people stream data in each area, so that the air conditioner can be prevented from being fully started, and unnecessary energy consumption is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an air conditioner control method according to some embodiments of the present invention;
FIG. 2 is a flow chart of an air conditioner control method according to some embodiments of the present invention;
FIG. 3 is a flow chart of an air conditioner control method according to some embodiments of the present invention;
FIG. 4 is a schematic illustration of a scenario of air conditioning control according to some embodiments of the present invention;
fig. 5 is a block diagram of an air conditioner control device according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
According to the embodiments of the present invention, there are provided an air conditioner control method, apparatus, electronic device, and storage medium, it should be noted that the steps illustrated in the flowcharts of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different from that herein.
In this embodiment, an air conditioner control method is provided, fig. 1 is a flowchart of an air conditioner control method according to an embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
and S11, acquiring real-time people stream data of each area in the indoor space, and analyzing the real-time people stream data to obtain analysis results corresponding to each area.
The method provided by the embodiment of the application is applied to the server, the server is in communication connection with the sensors deployed in all areas of the indoor space, and the sensors are used for detecting the positions, the distribution and the activities of the personnel. The sensor may be an infrared sensor, a camera, a sound sensor, etc. The sensor transmits the acquired information to the server, and the server analyzes the acquired information to obtain real-time people stream data.
As an example, the collected information may be a continuous multi-frame area image, the sensor transmits the area image to the server, and the server may perform image recognition on the area image to obtain real-time people stream data. Specifically, after receiving the image data, the server processes and analyzes the image using an image recognition technique. Image recognition techniques may include computer vision, machine learning, and deep learning methods.
On the basis of image recognition, the server can extract characteristics of people, such as faces, bodies and the like, so as to judge the behavior data of the people. For example, person behavior data such as walking, standing, sitting, etc. is determined by recognizing actions of a person. The location of the person may be determined by analyzing the character features and the location information. May be implemented using techniques such as target detection, target tracking, etc. For example, a person's face or body is identified and its position in the image is tracked. By comparing the person position information between successive frames, the moving direction of the person can be calculated. And finally, generating real-time people stream data according to the image recognition result, and storing the data into a database for subsequent analysis and application.
In the embodiment of the application, the analysis results corresponding to each region are obtained by analyzing the real-time people stream data, as shown in fig. 2, including the following steps A1-A3:
and A1, analyzing real-time people stream data to obtain people stream conditions corresponding to the areas.
In the embodiment of the present application, analyzing real-time people stream data to obtain people stream conditions corresponding to an area includes: extracting personnel behavior data, personnel positions and personnel moving directions from real-time people stream data; determining a person density within the area using the person location; determining a personnel flow trend in the area by utilizing the personnel position and the personnel movement direction; determining a person activity type in the area by using the person behavior data; people stream conditions are generated based on people density, people flow trends, and people activity types.
In an embodiment of the present application, a process for determining a person density in an area using a person position includes: first, the position information of the person identified in the image is converted into specific coordinate values. Then, coordinate values in the image are mapped to the actual area. That is, it is necessary to convert the image coordinate values into coordinate values of the actual area, for example, by using a camera calibration method or the like. Next, the actual area is divided into several small areas. The actual area may be divided into small areas in a grid shape. For each small area, the number of people in that area is counted. It may be determined whether the person is located within the small area based on the coordinate values of the person's position compared with the boundary of the small area. The person density is calculated from the number of persons in each cell, for example: the person number is divided by the area of the small area to obtain the person density.
In an embodiment of the present application, a process for determining a person flow trend in an area by using a person position and a person moving direction includes: the position coordinates of each person at different points in time are first determined. From the continuous position coordinates, the moving direction of each person can be calculated. For example: the moving direction of the person is determined by calculating the difference between the current position and the position at the previous time. And associating the moving direction of the personnel with the area. The whole area is divided into a plurality of small areas, and the position of each person is matched with the small areas. For each small area, the number of people entering the area and the number of people leaving the area are counted, and corresponding time points and personnel IDs are recorded. By comparing the position information between the front and rear time points, it can be judged whether the person enters or leaves the area. Finally, the flow trend of the personnel is analyzed according to the number of people entering and leaving and the sequence of time points. I.e. the flow direction of the person is judged by counting the difference of the number of people entering and exiting each small area. For example, if the number of people entering the small area is greater than the number of people leaving the small area within a certain period of time, it is indicated that the direction of the flow of people is toward the small area.
In an embodiment of the present application, the process of determining a type of personal activity within an area using personal behavior data includes: and associating the personnel behavior data with the area. Dividing the whole area into a plurality of small areas, and matching the position and behavior information of each person with the small areas. For each small area, the number of people for the corresponding activity type is counted. Based on the classification result of the person behavior data, the number of persons who perform a specific activity in each small area can be counted. And determining the personnel activity type in the area according to the statistical result. For example, if more person behavior data is present in a small area, indicating dancing, the type of activity performed in that area may be determined to be a type of movement.
And step A2, sequencing the people stream conditions corresponding to each region to obtain the region ranking corresponding to each region.
In the embodiment of the application, the people flow of each area is counted according to the collected people flow conditions of each area in the indoor space. The flow of people may be expressed as the number of people passing or staying in each zone. The areas are ranked based on the traffic, and ranking is performed in order of the traffic from high to low. Areas with higher traffic are ranked higher and areas with lower traffic are ranked lower. And then, determining parameters of the air outlets of the central air conditioners in the area according to the regional ranking. For example: according to the principle that the area with larger people flow is ranked higher, the air outlet can be considered to be adjusted to the area so as to meet the comfort level requirement of the area with dense people flow.
And A3, generating an analysis result based on the people stream condition and the regional ranking.
The method provided by the embodiment of the application can clearly know the people flow in each area through sequencing, identify the peak period and the valley period of people flow, and help optimize the running efficiency of the central air conditioner. The air outlet parameters of the central air conditioner can be adjusted based on the analysis result, so that the temperature and comfort requirements of each area are met to the greatest extent, and the energy utilization efficiency is improved. Meanwhile, the waste of energy sources and the increase of cost can be reduced, the energy source utilization efficiency is improved, and the cost is saved.
And step S12, generating a first parameter corresponding to each air outlet of the central air conditioner by using the analysis result, wherein each air outlet of the central air conditioner corresponds to each area of the indoor space.
In the embodiment of the present application, first, a correspondence relationship between each air outlet of a central air conditioner and each area of an indoor space is determined. This may be determined based on the building plan, sensor layout, or other identification of the air conditioning system design. Each air outlet is ensured to correspond to a specific area of the indoor space. And generating a first parameter applicable to each region according to the analysis result. This relates to the direction of the air out, the size of the air out or other relevant adjustment parameters. Each region generates a corresponding first parameter according to the characteristics and requirements of the region.
Specifically, the first parameters corresponding to the air outlets of the central air conditioner are generated by using the analysis result, as shown in fig. 3, and the method comprises the following steps B1-B3:
and B1, determining the wind direction according to the regional ranking and the personnel flow trend.
In the embodiment of the application, determining the wind direction according to the regional rank and the personnel flow trend comprises the following steps: taking the region with the region rank larger than the preset rank as a target region; acquiring azimuth information of a target area in an indoor space, and generating an initial air outlet direction according to the azimuth information; and adjusting the initial wind outlet direction by using the personnel flow trend to obtain the wind outlet direction.
Specifically, by sequencing the people flow conditions of each area, the area with higher people flow is determined as the target area. These target areas are typically areas where it is desirable to prioritize adjustment of the central air conditioner outlet parameters. The position and orientation of the target area in the indoor space can be determined by means of building plan, sensor arrangement, etc. And then generating initial wind outlet direction according to the position and the orientation of the target area relative to the central air conditioner. And then, through real-time people stream data analysis, trend information of personnel flow, such as flow direction, density and the like of people stream, can be obtained. According to the trend information, the initial wind outlet direction can be adjusted, so that the wind energy can be obtained to better meet the people flow demand. For example, if the flow of people tends to a certain direction, the direction of the wind may be adjusted toward that direction to provide better comfort and air circulation.
According to the method provided by the embodiment of the application, the air outlet direction can be adjusted according to the regional ranking and the personnel flowing trend, so that the requirements of different regions can be better met, and personalized temperature and comfort level are provided. By adjusting the air outlet direction, the cold/hot air of the air conditioner can be sent to a required area more accurately, so that the waste of resources is avoided, and the utilization efficiency of energy sources is improved. By precisely adjusting the air outlet direction, unnecessary energy consumption and equipment operation time can be reduced, thereby reducing operation cost. In addition, the air outlet direction can be timely adjusted to adapt to continuously changing people flow conditions, and the response speed and flexibility are improved.
And B2, determining the wind size according to the personnel activity type and the personnel density.
In this application embodiment, confirm wind size according to personnel activity type and personnel density, include: acquiring an initial air outlet size corresponding to the personnel activity type based on a mapping relation between the preset activity type and the air outlet size; and adjusting the initial air outlet size by using the personnel density to obtain the air outlet size.
In particular, different personnel activity types have different requirements for the size of the outlet air. For example, conference rooms require a larger amount of air output to meet the high concentration of people and ventilation requirements, while office areas may require a smaller amount of air output. And determining the initial air outlet size corresponding to each activity type according to the mapping relation between the preset activity type and the air outlet size. Personnel density refers to the degree of personal number density within an area or location. Areas of high personnel density require greater air output to maintain comfort and air circulation. The initial air outlet size can be dynamically adjusted by monitoring the density condition of personnel in real time. For example, when the person density is high, the air output can be increased to provide sufficient fresh air and comfort; when the personnel density is smaller, the air output can be reduced to save energy.
According to the method provided by the embodiment of the application, the initial air outlet size is determined according to the personnel activity types, personalized comfort level can be provided according to the characteristics of different areas, and the requirements of different activity types are met. The air outlet size is adjusted according to the personnel density, so that the ventilation and the freshness of indoor air are ensured, and good indoor environment quality is provided. Meanwhile, the air outlet size can be timely adjusted according to the change of the number of people, the air outlet device is suitable for the change of demands in different time periods or activity stages, and the flexibility and the adaptability are improved.
And B3, generating a first parameter based on the air outlet direction and the air outlet size.
In the embodiment of the present application, the air outlet direction of each area is determined according to the analysis result. According to the setting of the air outlet direction, the air outlet direction can be converted into a numerical parameter, such as a use angle or an orientation. This numerical parameter may be used as a basis for generating the first parameter. And simultaneously, determining the air outlet size of each area. The air outlet size can be represented by specific numerical values, such as wind speed or air outlet quantity. And according to the setting of the size of the air outlet, converting the air outlet into a numerical parameter serving as a basis for generating the first parameter. And then combining the numerical parameters of the air outlet direction and the air outlet size to generate a first parameter. The manner in which the first parameter is generated may be determined according to particular needs, for example using a weighted average or other correlation algorithm. The generated first parameter may be a weight value or index comprehensively considering the air outlet direction and the air outlet size, and is used for adjusting the related parameters of the central air conditioner.
Step S13, generating a first control instruction based on the first parameter.
In the embodiment of the application, the first parameter is converted into a specific control instruction. The control instructions may include adjusting a temperature setting, a wind speed setting, a wind direction setting, etc. of the central air conditioner. And generating a corresponding control instruction according to the value of the first parameter and the setting logic, and sending the control instruction to the central air conditioner for execution.
Step S14, a first control instruction is sent to a corresponding air outlet, wherein the air outlet is used for running according to a first parameter indicated by the first control instruction.
The method provided by the embodiment of the application can accurately regulate and control according to personnel distribution or activity conditions of different areas on the premise of comprehensively meeting the whole indoor temperature requirement. By acquiring real-time people stream data of each area and generating corresponding control instructions according to the data, the air-conditioning system can be preferentially supplied to the area with dense people, or the supply quantity can be timely adjusted according to the change of the people density, so that the temperature balance and the comfort level of the area are improved.
Specifically, first, a specific air outlet that needs to be adjusted is determined. The air outlet can be identified or coded according to the layout and design of the air conditioning system so as to accurately identify and position the target air outlet. And conveying the generated first control instruction to the corresponding air outlet through a proper communication mode. This may be achieved by wired or wireless communication techniques, e.g. using a sensor network, a wireless control system, etc. The air outlet receiving the first control instruction can be correspondingly adjusted according to the instruction. According to the content of the control instruction, the air outlet can adjust parameters such as temperature, air speed, air direction and the like so as to adapt to the required air outlet direction and air outlet size. Therefore, the first control instruction is sent to the corresponding air outlet, and the air outlet can be accurately instructed to be correspondingly adjusted according to the first parameter so as to meet regional requirements. Real-time response and adjustment are realized to adapt to the time variability of personnel activity demands.
In the process of executing the first control instruction through the air outlet, the state and effect of the air outlet can be monitored through means such as a sensor, so that adjustment is ensured to meet expectations. The feedback mechanism can transmit the adjusted air outlet parameter data back to the control system for further analysis and optimization.
According to the method provided by the embodiment of the application, the distribution situation of personnel in the area can be known in real time by acquiring and analyzing the real-time people stream data of each area in the indoor space. The analysis results of all the areas are obtained by analyzing the obtained real-time people stream data, and the first parameters of all the air outlets of the central air conditioner can be generated according to the people stream conditions of different areas, so that the accurate air conditioner control of each area is realized, and the comfort level and the energy-saving effect of indoor air are improved. And generating a first control instruction based on the first parameter, and sending the first control instruction to a corresponding air outlet, so that the air outlet operates according to the indicated first parameter, and automatic control is realized. The manual intervention is reduced, and the automation degree and the operation efficiency of the air conditioning system are improved. Through accurate air conditioner control, intelligent adjustment is carried out according to people's stream data in each region, can avoid opening the air conditioner comprehensively, reduces unnecessary energy consumption, improves indoor air's quality and comfort level.
As an example, as shown in fig. 4, the person group is located in a first area, the first area is named 1 st, and the person flow trend of the person group is from the first area to the second area. The type of activity of the population of people is tour. At this time, the air outlet direction of the air outlet of the first area is: the direction of the outlet of the first area, the size of the air outlet is determined according to the type of tour and the density of the personnel group. The air outlet direction of the second area is as follows: the direction of the entrance of the second area, the size of the air outlet is determined according to the type of the tour and the density of the personnel group.
In an embodiment of the present application, after sending the first control instruction to the corresponding air outlet, the method further includes: acquiring the use information corresponding to each area at the next moment; updating the first parameter by using the use information to obtain a second parameter; generating a second control instruction based on the second parameter; and sending a second control instruction to the corresponding air outlet, wherein the air outlet is used for running according to a second parameter indicated by the second control instruction.
Specifically, the usage information of the next moment corresponding to each area, such as the number of people, the activity type, the temperature requirement, etc., is obtained through various sensors or monitoring devices. Such information may be obtained by means of people flow statistics, temperature sensors, access control systems, etc. And updating the original first parameter by using the acquired use information. And adjusting the value of the first parameter through an algorithm or a rule according to the change trend and the actual demand of the use information to obtain an updated second parameter. For example, the air supply amount or the temperature setting of the air outlet is adjusted according to the increase or decrease of the number of people in the area.
And generating a second control instruction based on the updated second parameter. Sending a second control instruction to the corresponding air outlet: and sending the generated first control instruction to the corresponding air outlet. Each air outlet corresponds to a specific area, and the running state and parameters of the air outlet can be controlled by sending instructions to the corresponding air outlet. The air outlet operates according to a second parameter indicated by the second control instruction, such as adjusting the wind speed, the temperature and the like.
The method provided by the embodiment of the application can dynamically acquire the use information, and update and adjust the parameters and the control instructions of the air conditioning system according to the use information, so that accurate, intelligent and energy-saving air conditioning control is realized, and the comfort level and the energy efficiency are improved. Meanwhile, the scheme also reduces manual intervention and improves user experience.
The present embodiment also provides an air conditioner control device, which is used to implement the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The present embodiment provides an air conditioner control device, as shown in fig. 5, including:
the acquiring module 21 is configured to acquire real-time people stream data of each area in the indoor space, and analyze the real-time people stream data to obtain an analysis result corresponding to each area;
the processing module 22 is configured to generate a first parameter corresponding to each air outlet of the central air conditioner according to the analysis result, where each air outlet of the central air conditioner corresponds to each area of the indoor space;
a generating module 23, configured to generate a first control instruction based on the first parameter;
and the sending module 24 is configured to send the first control instruction to a corresponding air outlet, where the air outlet is configured to operate according to the first parameter indicated by the first control instruction.
In the embodiment of the present application, the acquiring module 21 includes:
the analysis unit is used for analyzing the real-time people stream data to obtain the people stream condition corresponding to the area;
the sequencing unit is used for sequencing the people stream conditions corresponding to each region to obtain the region ranking corresponding to each region;
and the generating unit is used for generating an analysis result based on the people stream condition and the regional ranking.
In the embodiment of the application, the analysis unit is used for extracting personnel behavior data, personnel positions and personnel moving directions from the real-time personnel flow data; determining a person density within the area using the person location; determining a personnel flow trend in the area by utilizing the personnel position and the personnel movement direction; determining a person activity type in the area by using the person behavior data; people stream conditions are generated based on people density, people flow trends, and people activity types.
In the present embodiment, the processing module 22 includes:
the first processing unit is used for determining the wind direction according to the regional ranking and the personnel flow trend;
the second processing unit is used for determining the wind size according to the personnel activity type and the personnel density;
and the construction unit is used for generating a first parameter based on the air outlet direction and the air outlet size.
In the embodiment of the application, the first processing unit is used for taking the area with the area rank larger than the preset rank as the target area; acquiring azimuth information of a target area in an indoor space, and generating an initial air outlet direction according to the azimuth information; and adjusting the initial wind outlet direction by using the personnel flow trend to obtain the wind outlet direction.
In this embodiment of the present application, the second processing unit is configured to obtain an initial air-out size corresponding to a personnel activity type based on a mapping relationship between a preset activity type and the air-out size; and adjusting the initial air outlet size by using the personnel density to obtain the air outlet size.
In an embodiment of the present application, the apparatus further includes: an updating unit, configured to obtain usage information corresponding to each area at a next moment; updating the first parameter by using the use information to obtain a second parameter; generating a second control instruction based on the second parameter; and sending a second control instruction to the corresponding air outlet, wherein the air outlet is used for running according to a second parameter indicated by the second control instruction.
According to the embodiment of the application, the distribution situation of the personnel in the area can be known in real time by acquiring and analyzing the real-time people stream data of each area in the indoor space. The analysis results of all the areas are obtained by analyzing the obtained real-time people stream data, and the first parameters of all the air outlets of the central air conditioner can be generated according to the people stream conditions of different areas, so that the accurate air conditioner control of each area is realized, and the comfort level and the energy-saving effect of indoor air are improved. And generating a first control instruction based on the first parameter, and sending the first control instruction to a corresponding air outlet, so that the air outlet operates according to the indicated first parameter, and automatic control is realized. The manual intervention is reduced, and the automation degree and the operation efficiency of the air conditioning system are improved. Through accurate air conditioner control, intelligent adjustment is carried out according to people stream data in each area, so that the air conditioner can be prevented from being fully started, and unnecessary energy consumption is reduced.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an alternative embodiment of the present invention, as shown in fig. 6, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system).
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform the methods shown in implementing the above embodiments.
According to the embodiment of the application, the distribution situation of the personnel in the area can be known in real time by acquiring and analyzing the real-time people stream data of each area in the indoor space. The analysis results of all the areas are obtained by analyzing the obtained real-time people stream data, and the first parameters of all the air outlets of the central air conditioner can be generated according to the people stream conditions of different areas, so that the accurate air conditioner control of each area is realized, and the comfort level and the energy-saving effect of indoor air are improved. And generating a first control instruction based on the first parameter, and sending the first control instruction to a corresponding air outlet, so that the air outlet operates according to the indicated first parameter, and automatic control is realized. The manual intervention is reduced, and the automation degree and the operation efficiency of the air conditioning system are improved. Through accurate air conditioner control, intelligent adjustment is carried out according to people stream data in each area, so that the air conditioner can be prevented from being fully started, and unnecessary energy consumption is reduced.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created from the use of the computer device of the presentation of a sort of applet landing page, and the like. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.

Claims (10)

1. An air conditioner control method, wherein the method is applied to a server, the method comprising:
acquiring real-time people stream data of each region in an indoor space, and analyzing the real-time people stream data to obtain analysis results corresponding to each region;
generating a first parameter corresponding to each air outlet of the central air conditioner by using the analysis result, wherein each air outlet of the central air conditioner corresponds to each area of the indoor space;
generating a first control instruction based on the first parameter;
and sending the first control instruction to a corresponding air outlet, wherein the air outlet is used for running according to a first parameter indicated by the first control instruction.
2. The method according to claim 1, wherein analyzing the real-time people stream data to obtain the analysis result corresponding to each region comprises:
analyzing the real-time people stream data to obtain people stream conditions corresponding to the areas;
sequencing the people stream conditions corresponding to each region to obtain a region ranking corresponding to each region;
and generating the analysis result based on the people stream condition and the regional rank.
3. The method according to claim 2, wherein the analyzing the real-time people stream data to obtain people stream conditions corresponding to the region comprises:
extracting personnel behavior data, personnel positions and personnel moving directions from the real-time people stream data;
determining a person density within the area using the person location;
determining a person flow trend within the area using the person position and the person movement direction;
determining a person activity type within the area using the person behavior data;
the people stream condition is generated based on the people density, people flow trend, and people activity type.
4. The method of claim 3, wherein generating the first parameter corresponding to each outlet of the central air conditioner using the analysis result comprises:
determining a wind direction according to the regional rank and the personnel flow trend;
determining the wind size according to the personnel activity type and the personnel density;
and generating the first parameter based on the air outlet direction and the air outlet size.
5. The method of claim 4, wherein said determining a wind direction from said regional rank and said person flow trend comprises:
taking the region with the region rank larger than a preset rank as a target region;
acquiring azimuth information of the target area in the indoor space, and generating an initial air outlet direction according to the azimuth information;
and adjusting the initial wind outlet direction by utilizing the personnel flow trend to obtain the wind outlet direction.
6. The method of claim 4, wherein said determining a wind magnitude based on said personnel activity type and said personnel density comprises:
acquiring an initial air outlet size corresponding to the personnel activity type based on a mapping relation between a preset activity type and the air outlet size;
and adjusting the initial air outlet size by using the personnel density to obtain the air outlet size.
7. The method of claim 1, wherein after sending the first control instruction to the corresponding air outlet, the method further comprises:
acquiring the use information corresponding to each area at the next moment;
updating the first parameter by using the use information to obtain a second parameter;
generating a second control instruction based on the second parameter, and sending the second control instruction to a corresponding air outlet, wherein the air outlet is used for running according to the second parameter indicated by the second control instruction.
8. An air conditioner control device, characterized in that the device comprises:
the acquisition module is used for acquiring real-time people stream data of each area in the indoor space and analyzing the real-time people stream data to obtain analysis results corresponding to each area;
the processing module is used for generating first parameters corresponding to all air outlets of the central air conditioner by utilizing the analysis result, wherein all the air outlets of the central air conditioner correspond to all the areas of the indoor space;
the generation module is used for generating a first control instruction based on the first parameter;
the sending module is used for sending the first control instruction to a corresponding air outlet, wherein the air outlet is used for running according to a first parameter indicated by the first control instruction.
9. An electronic device, comprising:
a memory and a processor in communication with each other, the memory having stored therein computer instructions which, upon execution, cause the processor to perform the method of any of claims 1 to 7.
10. A computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1 to 7.
CN202311811886.3A 2023-12-26 2023-12-26 Air conditioner control method and device, electronic equipment and storage medium Pending CN117646984A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311811886.3A CN117646984A (en) 2023-12-26 2023-12-26 Air conditioner control method and device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311811886.3A CN117646984A (en) 2023-12-26 2023-12-26 Air conditioner control method and device, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN117646984A true CN117646984A (en) 2024-03-05

Family

ID=90047919

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311811886.3A Pending CN117646984A (en) 2023-12-26 2023-12-26 Air conditioner control method and device, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN117646984A (en)

Similar Documents

Publication Publication Date Title
Tushar et al. Internet of things for green building management: disruptive innovations through low-cost sensor technology and artificial intelligence
KR102380397B1 (en) METHOD FOR MANAGING SMART BUILDING USING IoT SENSOR AND ARTIFICIAL INTELIGENCE
CN110836514B (en) Control method and device of air conditioning unit
EP3569942A1 (en) Energy saving heating, ventilation, air conditioning control system
CN110296506B (en) Building air conditioner control method and device
WO2019063079A1 (en) System, device and method for energy and comfort optimization in a building automation environment
KR102324424B1 (en) System and method for optimizing enenrgy for heating, ventilation, air conditioning
US20230083027A1 (en) Multi-area artificial fog pipe network intelligent control method and system based on yolov5 algorithm
CN110925968B (en) Air conditioner control method and device and air conditioner
CN117270611B (en) Intelligent environmental control system and method for intelligent sports stadium
US11734388B2 (en) Method and apparatus for predicting time-series data
CN113251610A (en) Method and device for air conditioner control and air conditioner
CN110377084A (en) A kind of Building Indoor Environment regulation method based on wisdom control strategy
CN115272675A (en) Energy management system and method based on multi-sensor information fusion
CN110848897A (en) Intelligent air conditioner adjusting method and computer readable storage medium
JP2020106153A (en) Air-conditioning control system and method
CN114838470A (en) Control method and system for heating, ventilating and air conditioning
CN116182321B (en) Automatic temperature regulating system of heating ventilation air conditioner based on machine learning
CN117646984A (en) Air conditioner control method and device, electronic equipment and storage medium
CN111240217A (en) State detection method and device, electronic equipment and storage medium
TW202009427A (en) Air conditioning system and control method for the air conditioning system
CN113405241B (en) Method and device for controlling air conditioning equipment and air conditioning equipment
CN114594692A (en) Intelligent household control system based on mobile phone terminal and Internet of things
CN111197838A (en) Air conditioner energy-saving control method and device and server
KR20200027079A (en) Apparatus and method for optimum control of air conditioner using artificial neural network

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination