Method, device, sensor and control system for microenvironment regulation

Abstract

The invention relates to the technical field of environment monitoring, and discloses a microenvironment adjustment method and device, a sensor and a control system. The method comprises the following steps: determining a plurality of active point locations of an organism in an initial environment detection area; determining a target point location in the plurality of active point locations, and delimiting a microenvironment area needing environment detection according to the target point location; environment detection parameters of the microenvironment detection area are obtained; and adjusting the microenvironment according to the environment detection parameters. According to the method for microenvironment regulation, the environmental parameter detection precision can be improved, so that the environmental regulation and control precision is improved.

Description

Technical Field

[0001] The present application relates to the field of environmental monitoring technology, for example, to a method, device, sensor and control system for microenvironment regulation. Background Art

[0002] An environmental monitoring system utilizes modern technology to monitor, collect, transmit, process, and evaluate environmental quality in real time. It consists of multiple components, including sensors, data acquisition equipment, data transmission equipment, data processing equipment, and a user interface. Sensors monitor various environmental parameters, such as temperature, humidity, light, and air pollutants; data acquisition equipment collects sensor data; data transmission equipment transmits the collected data to data processing equipment; data processing equipment processes and analyzes the data to generate environmental quality reports; and the user interface provides an intuitive platform for users to easily view and understand environmental data. An environmental monitoring system can help users understand the current state of their surroundings and make timely adjustments to their surroundings.

[0003] However, the existing monitoring system roughly detects the environmental parameters within a certain range and then feeds back the detected environmental parameters to the user, who then adjusts the surrounding environment according to the fed-back environmental parameters. This environmental adjustment method has low control accuracy.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to ordinary technicians in this field. Summary of the Invention

[0005] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical elements or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0006] The embodiments of the present disclosure provide a method, device, sensor, and control system for microenvironment regulation, which can improve the accuracy of environmental parameter detection and thus improve the accuracy of environmental regulation.

[0007] In some embodiments, a method for microenvironment regulation is provided, comprising: determining multiple activity points of an organism located in an initial environmental detection area; determining a target point among the multiple activity points, and demarcating a microenvironment area where environmental detection is required based on the target point; using the microenvironment area where environmental detection is required as a microenvironment detection area; and obtaining environmental detection parameters of the microenvironment detection area to regulate the microenvironment based on the environmental detection parameters.

[0008] Optionally, determining multiple activity points of organisms located in the initial environmental detection area includes: determining a target organism that is active among the organisms located in the initial environmental detection area; determining a target collection period based on the activity frequency of the target organism; and collecting and determining multiple activity points of the target organism according to the target collection period.

[0009] Optionally, determining a target point among multiple activity points includes: determining the activity trajectory of each organism based on the activity point of each organism; taking the overlapping activity points in multiple activity trajectories as target points; or, establishing an initial three-dimensional stereo model corresponding to the initial environmental detection area, and splitting the initial three-dimensional stereo model into multiple three-dimensional sub-modules according to a preset ratio; obtaining a point density value of the active point in each three-dimensional sub-module; and taking the active point in the three-dimensional sub-module whose point density value is greater than the set point density value as the target point.

[0010] Optionally, the microenvironment area requiring environmental detection is delineated based on the target points, including: using the target points with the largest number located on the same plane among the target points to construct a basic plane for the delineated range; determining a vertical plane perpendicular to the basic plane, and determining the delineated height of the vertical plane based on the target point located farthest from the basic plane on the vertical plane; and determining the microenvironment area using the basic plane for the delineated range and the vertical plane at the delineated height.

[0011] Optionally, the basic plane for demarcating the range is constructed using the target points with the largest number located in the same plane among the target points, including: constructing the basic plane using the target points with the largest number located in the same plane among the target points; determining the area range of the basic plane using the target points farthest from the center point in the basic plane to construct the basic plane for demarcating the range.

[0012] Optionally, the environmental detection parameters include pathogen virulence; obtaining the environmental detection parameters of the microenvironment detection area includes: obtaining the genetic material of the pathogen in the microenvironment detection area, and determining multiple gene sequence fragments of the genetic material; determining the pathogen virulence based on the pathogenic properties of the multiple gene sequence fragments.

[0013] Optionally, the microenvironment is adjusted according to the environmental detection parameters, including: establishing an initial three-dimensional model corresponding to the initial environmental detection area; associating the environmental detection parameters to the positions corresponding to the environmental detection parameters of the initial three-dimensional model to obtain a microenvironment three-dimensional model; and using the microenvironment three-dimensional model to adjust the microenvironment.

[0014] In some embodiments, a device for microenvironment regulation is provided, comprising a processor and a memory storing program instructions, wherein the processor is configured to execute the method for microenvironment regulation as described in the above embodiments when running the program instructions.

[0015] In some embodiments, a sensor for microenvironment regulation is provided, comprising: a sensor body; and a device for microenvironment regulation as described in the above embodiments, mounted on the sensor body.

[0016] In some embodiments, a control system for microenvironment regulation is provided, comprising: a sensor for microenvironment regulation as described in the above embodiments; an environmental regulation device, electrically connected to the sensor, and configured to perform microenvironment regulation according to environmental detection parameters of the microenvironment detection area detected by the sensor.

[0017] The methods, devices, sensors, and control systems for microenvironment regulation provided by the embodiments of the present disclosure can achieve the following technical effects:

[0018] The method provided by the embodiment of the present disclosure can determine the target point from multiple activity points of the organism in the initial environment detection area, and delineate the microenvironment area that needs to be tested for environment according to the target point, as the microenvironment detection area, and obtain the environmental detection parameters in the microenvironment detection area to adjust the microenvironment according to the environmental detection parameters. Compared with the related art, which roughly detects environmental parameters within an approximate range, the present application improves the detection accuracy of environmental parameters by dividing the environmental area and performing microenvironment area detection. Then, when the environmental detection parameters are used to adjust the microenvironment, the accuracy of environmental regulation is improved. In addition, the microenvironment detection area in this method is determined by the activity point of the organism. By understanding the activities and needs of the organism, a reasonable microenvironment detection area is set to facilitate more effective adjustment of the microenvironment and improve the comfort and adaptability of the environment.

[0019] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] One or more embodiments are exemplarily described by corresponding drawings. These exemplary descriptions and drawings do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings do not constitute a scale limitation. In addition,

[0021] Figure 1 is a schematic diagram of a control system for microenvironment regulation provided by an embodiment of the present disclosure;

[0022] Figure 2 Schematic diagram of a sensor for microenvironment regulation provided by an embodiment of the present disclosure;

[0023] Figure 3 is a schematic diagram of a method for microenvironment regulation provided by an embodiment of the present disclosure;

[0024] Figure 4 is a schematic diagram of another method for microenvironment regulation provided by an embodiment of the present disclosure;

[0025] Figure 5 is a schematic diagram of another method for microenvironment regulation provided by an embodiment of the present disclosure;

[0026] Figure 6 is a schematic diagram of another method for microenvironment regulation provided by an embodiment of the present disclosure;

[0027] Figure 7 is a schematic diagram of another method for microenvironment regulation provided by an embodiment of the present disclosure;

[0028] Figure 8 is a schematic diagram of another method for microenvironment regulation provided by an embodiment of the present disclosure;

[0029] Figure 9 Schematic diagram of a device for microenvironment regulation provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0030] In order to be able to understand the features and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The accompanying drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0031] In the description and claims of the embodiments of the present disclosure, as well as in the accompanying drawings, the terms "first," "second," and the like are used to distinguish similar items and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate to describe the embodiments of the present disclosure herein. In addition, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions.

[0032] Unless otherwise stated, the term "plurality" means two or more.

[0033] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0034] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means the following three relationships: A, B, and A and B.

[0035] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0036] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0037] In the embodiments of the present disclosure, an environmental conditioning device refers to an intelligent electronic device with intelligent control, intelligent perception, and intelligent application features. The operation of an environmental conditioning device often relies on the application and processing of modern technologies such as the Internet of Things, the Internet, and electronic chips. The environmental conditioning device can communicate with other electronic devices to adjust the surrounding environment. For example, environmental conditioning devices include smart air conditioners, smart curtains, smart fresh air devices, smart air purification devices, smart sterilization purifiers, smart dehumidifiers, smart humidifiers, smart lighting devices, etc.

[0038] In the disclosed embodiments, the sensor for microenvironment regulation can communicate with the above-mentioned environmental regulation device by connecting to the Internet, or can directly communicate with the above-mentioned environmental regulation device through Bluetooth, Wi-Fi, etc.

[0039] Combine Figure 1 The control system 1 for microenvironment regulation provided by the embodiment of the present disclosure includes the sensor 20 for microenvironment regulation and the environment regulation device 10. The environment regulation device 10 is electrically connected to the sensor 20 and is configured to perform environmental regulation according to the environmental detection parameters of the microenvironment detection area detected by the sensor 20.

[0040] Optionally, combined Figure 2 As shown, the sensor 20 for microenvironment regulation provided by the embodiment of the present disclosure includes a sensor body 210 and a device 90 for microenvironment regulation. The device 90 for microenvironment regulation is installed on the sensor body 210.

[0041] Optionally, the device 90 for adjusting the microenvironment includes a processor. The processor can determine multiple activity points of the organism within the initial environmental detection area; can determine a target point among the multiple activity points, and delineate a microenvironment area requiring environmental detection based on the target point; can use the microenvironment area requiring environmental detection as the microenvironment detection area; and can obtain environmental detection parameters of the microenvironment detection area to adjust the microenvironment based on the environmental detection parameters.

[0042] Combine Figure 1 and Figure 2 As shown, the embodiment of the present disclosure provides a method for microenvironment regulation, such as Figure 3 As shown, the method includes:

[0043] S301: The processor determines multiple activity points of a living organism within an initial environment detection area.

[0044] The initial environmental monitoring area refers to the initial range or area where environmental monitoring is to be performed. For example, the initial range or area is a room, a building, a campus, or other enclosed space. Organisms refer to people or other organisms living or working within the microenvironment.

[0045] By determining multiple activity points of organisms within the initial environmental detection area, we can more accurately grasp the needs and behaviors of organisms in the microenvironment and make targeted environmental adjustments.

[0046] Optionally, determining multiple activity points of organisms located in the initial environmental detection area includes: determining a target organism that is active among the organisms located in the initial environmental detection area; determining a target collection period based on the activity frequency of the target organism; and collecting and determining multiple activity points of the target organism according to the target collection period.

[0047] In this embodiment, the target organism is first identified, and then a target collection period is determined based on the target organism's activity frequency. Multiple activity points of the target organism are then collected to achieve the determination of multiple activity points of the organism within the initial environmental detection area. By first determining the target organism and the target collection period, and then collecting the target organism's activity points, the type of organism, its activity patterns, and the accuracy and real-time nature of the collected data are comprehensively considered, thereby more effectively and accurately adjusting the microenvironment, meeting the needs of the organism and improving the environmental comfort.

[0048] Specifically, first, active target organisms are identified and determined from organisms within the initial environmental detection area. These target organisms include people, animals, or other organisms working, living, or active within the initial environmental detection area. Target organisms are the active entities within the initial environmental detection area. For example, if the initial environmental detection area is an office, the target organisms are the people working within the office; if the initial environmental detection area is a zoo, the target organisms are the animals working within the zoo. After identifying the target organisms, their activity patterns and frequencies need to be understood. By analyzing the activity patterns and frequencies of the target organisms, an appropriate target collection cycle is set to ensure accurate recording and monitoring of the activity points of these target organisms. The target collection cycle is matched to the activity patterns of the organisms to ensure data integrity and accuracy. Finally, according to the set target collection cycle, information on the activity points of the target organisms is collected periodically or in real time. The collection of the activity points of the target organisms can be achieved using technologies such as sensors, tracking devices, or video surveillance. By collecting activity point data, a more accurate understanding of the behavior and activity patterns of the organisms within the microenvironment is achieved, providing a basis for subsequent environmental adjustments.

[0049] Optionally, the target acquisition period is positively correlated with the activity frequency of the target organism.

[0050] Organisms with higher activity frequencies require more frequent data collection. In this embodiment, by limiting the target collection period to a positive correlation with the activity frequency of the target organism, the activity points of these target organisms can be more accurately recorded and monitored, improving the real-time and accuracy of the collected activity point information. This allows for more effective and precise microenvironmental adjustments to meet the needs of the organisms and enhance environmental comfort.

[0051] S302: The processor determines a target point among a plurality of active points, and demarcates a microenvironment area requiring environmental detection according to the target point.

[0052] By further identifying target points from multiple activity points, locations that have a significant impact on the activity of organisms, such as workbenches, rest areas, or meeting areas, can be determined. By identifying these target points, key areas requiring environmental testing, namely microenvironmental areas requiring environmental testing, can be delineated to ensure accurate monitoring and regulation of these areas.

[0053] S303: The processor uses the microenvironment area that needs to be tested as the microenvironment testing area.

[0054] S304: The processor obtains environmental detection parameters of the microenvironment detection area to adjust the microenvironment according to the environmental detection parameters.

[0055] Sensors and / or detection equipment are used to collect environmental parameters within the microenvironment, including temperature, humidity, light, CO2 concentration, bacterial concentration, pathogen concentration, pathogen morbidity, etc. The obtained environmental detection parameters are analyzed to determine whether the current microenvironment conditions meet the needs of the organism and to make adjustments as needed.

[0056] The method for microenvironment detection provided by the embodiment of the present disclosure can determine the target point from the multiple activity points of the organism in the initial environmental detection area, and delineate the microenvironment area that needs to be detected according to the target point as the microenvironment detection area, and obtain the environmental detection parameters within the microenvironment detection area to adjust the microenvironment according to the environmental detection parameters. Compared with the related art, which roughly detects environmental parameters within an approximate range, the present application improves the detection accuracy of environmental parameters by dividing the environmental area and performing microenvironment area detection. Then, when the environmental detection parameters are used to adjust the microenvironment, the accuracy of environmental control is improved. In addition, the microenvironment detection area in this method is determined by the activity point of the organism. By understanding the activities and needs of the organism, a reasonable microenvironment detection area is set to facilitate more effective adjustment of the microenvironment and improve the comfort and adaptability of the environment.

[0057] Combine Figure 4 As shown, the embodiment of the present disclosure provides another method for microenvironment regulation, comprising:

[0058] S401: The processor determines multiple activity points of a living organism within an initial environment detection area.

[0059] S402: The processor determines the activity trajectory of each organism according to the activity point of each organism.

[0060] S403: The processor takes the overlapping activity points in the multiple activity trajectories as target points.

[0061] S404: The processor defines a micro-environment area that requires environmental detection according to the target point.

[0062] S405: The processor uses the microenvironment area that needs to be tested as the microenvironment testing area.

[0063] S406: The processor obtains environmental detection parameters of the microenvironment detection area to adjust the microenvironment according to the environmental detection parameters.

[0064] By adopting the method for microenvironment detection provided by the embodiment of the present disclosure, it is possible to determine the activity trajectory of each organism, that is, the movement path of each organism in the environment, after determining multiple activity points of organisms in the initial environmental detection area. The activity trajectory can be determined by tracking technology or data analysis of the activity points. The activity points that overlap in multiple activity trajectories are then used as target points to determine the common activity area of multiple organisms. After determining the target points, the microenvironment area where environmental detection is required can be delineated based on the position and range of the target points. By identifying these overlapping activity points, it is possible to more accurately determine the area where environmental adjustment is required. By understanding the activity trajectories and common activity areas of the organisms, the area where environmental adjustment is required can be more accurately determined, thereby improving the efficiency and effectiveness of the adjustment.

[0065] Combine Figure 5 As shown, the embodiment of the present disclosure provides another method for microenvironment regulation, comprising:

[0066] S501: The processor determines multiple activity points of a living organism within an initial environment detection area.

[0067] S502: The processor creates an initial three-dimensional model corresponding to the initial environment detection area, and splits the initial three-dimensional model into a plurality of three-dimensional sub-modules according to a preset ratio.

[0068] The spatial structure of the initial environmental detection area is simulated by establishing an initial three-dimensional stereo model corresponding to the initial environmental detection area, and then the initial three-dimensional stereo model is divided into multiple small three-dimensional sub-modules according to a preset ratio, so as to facilitate more accurate and rapid analysis of the active points in each sub-module.

[0069] S503: The processor obtains a point density value of active points in each 3D sub-module.

[0070] By counting the number of active points in each 3D submodule, the point density value of each 3D submodule, that is, the concentration degree of active points, can be calculated.

[0071] S504: The processor uses the active points in the three-dimensional sub-module whose point density value is greater than the set point density value as target points.

[0072] By setting a threshold as the set point density value, we can filter out areas with low point density, thereby screening out areas with more concentrated activity points. These areas are places with higher demand and more intensive activities in the microenvironment.

[0073] S505: The processor defines a micro-environment area that requires environmental detection according to the target point.

[0074] Optionally, the microenvironment area requiring environmental detection is delineated based on the target points, including: using the target points with the largest number located on the same plane among the target points to construct a basic plane for the delineated range; determining a vertical plane perpendicular to the basic plane, and determining the delineated height of the vertical plane based on the target point located farthest from the basic plane on the vertical plane; and determining the microenvironment area using the basic plane for the delineated range and the vertical plane at the delineated height.

[0075] In this embodiment, the selection of the base plane is based on the distribution of the target points in space. First, the target point set with the largest number located in the same plane among the target points is identified, and then a base plane (the base plane of the demarcation range) is constructed based on these target points to determine a representative horizontal plane as a benchmark for demarcating the microenvironment area. A vertical plane perpendicular to the base plane is then determined to determine the boundary perpendicular to the base plane and to limit the upper limit of the microenvironment area. The target point farthest from the base plane on this vertical plane is then determined to determine the demarcation height of the vertical plane. By combining the base plane of the demarcation range and the vertical plane of the demarcation height to form a closed spatial area, i.e., the microenvironment area where environmental detection is required, this area will be used as the target area for environmental detection and adjustment, thereby achieving a comprehensive and three-dimensional demarcation of the microenvironment and ensuring the accuracy of environmental detection.

[0076] Furthermore, the demarcation height of the vertical plane can be adjusted according to actual needs to ensure the effectiveness and adaptability of the microenvironment area.

[0077] Optionally, the basic plane for demarcating the range is constructed using the target points with the largest number located in the same plane among the target points, including: constructing the basic plane using the target points with the largest number located in the same plane among the target points; determining the area range of the basic plane using the target points farthest from the center point in the basic plane to construct the basic plane for demarcating the range.

[0078] In this embodiment, a suitable basic plane can be determined based on the actual target point data, and its area range can be determined to construct a basic plane with a delimited range. Specifically, the number of target points located in the same plane among all target points is determined, a plane with the largest number is selected, and a point is selected from the target points of the plane as the center point of the basic plane. The basic plane is constructed using the center point and other target points related to the plane, so that the basic plane is constructed by the target points with the largest number located in the same plane among the target points. The distance from all target points on the basic plane to the center point is determined, the target point farthest from the center point is determined, and the area range of the basic plane is determined using the farthest target point and the center point, so that the area range of the basic plane is determined using the target point farthest from the center point in the basic plane. Then, based on the constructed basic plane and the determined area range, the area range is delimited in the basic plane to construct a basic plane with a delimited range as the basis for subsequent operations or analysis.

[0079] Optionally, the target points with the largest number located in the same plane among the target points are used to construct a basic plane for demarcating the range, including: using a binary particle swarm algorithm to demarcate the regional range of the target points with the largest number located in the same plane among the target points; and according to the determined regional range, demarcating the regional range in the basic plane with the largest number of target points to construct the basic plane for demarcating the range.

[0080] The binary particle swarm algorithm is an optimization algorithm that can search for the optimal solution based on given conditions. In this embodiment, the binary particle swarm algorithm is used to accurately delineate the area range of the target points with the largest number of target points located on the same plane. The binary particle swarm algorithm focuses on the target points on the same plane by simulating group behavior and information transmission, thereby improving the accuracy of target point determination. In this embodiment, the binary particle swarm algorithm is used to find the area range of the target points with the largest number of target points located on the same plane. Through iterative calculation, the regional boundaries (regional range) of the target points located on the same plane are determined, and then the base plane is constructed based on the regional range.

[0081] S506: The processor uses the microenvironment area that needs to be tested as the microenvironment testing area.

[0082] S507: The processor obtains environmental detection parameters of the microenvironment detection area to adjust the microenvironment according to the environmental detection parameters.

[0083] Optionally, the environmental detection parameters include pathogen virulence; obtaining the environmental detection parameters of the microenvironment detection area includes: obtaining the genetic material of the pathogen in the microenvironment detection area, and determining multiple gene sequence fragments of the genetic material; determining the pathogen virulence based on the pathogenic properties of the multiple gene sequence fragments.

[0084] In this embodiment, the genetic material of the pathogen in the microenvironment detection area can be obtained by using appropriate detection techniques, such as PCR (Polymerase Chain Reaction), gene sequencing, etc., to obtain the genetic material of the pathogen, i.e., DNA or RNA. The obtained genetic material is then subjected to gene sequencing to decompose it into multiple gene sequence fragments. Each gene sequence fragment corresponds to a gene of the pathogen. By analyzing the gene sequence fragments, combined with the type of pathogen and known genetic information, the function and pathogenicity of each gene are determined, and the pathogenicity rate of the pathogen is then evaluated. After obtaining the pathogenicity rate in the microenvironment detection area, it is possible to adjust the environment in a timely manner to prevent the spread of diseases caused by the pathogen. In this embodiment, by monitoring the pathogenicity rate in real time in the microenvironment, the sanitary condition of the microenvironment can be continuously evaluated, and potential dangerous situations can be discovered and responded to in a timely manner to enhance the health and safety of the organism.

[0085] The method for microenvironment monitoring provided by the disclosed embodiments allows for microenvironmental adjustments by comprehensively considering the activity of organisms, the spatial structure of the environment, and actual needs. Specifically, by establishing an initial three-dimensional model and splitting it into multiple three-dimensional submodules, the distribution and density of activity points can be more accurately analyzed, thereby identifying areas requiring focused adjustments and improving the efficiency and effectiveness of environmental adjustments.

[0086] Combine Figure 6 As shown, the embodiment of the present disclosure provides another method for microenvironment regulation, comprising:

[0087] S601: The processor determines multiple activity points of a living organism within an initial environment detection area.

[0088] S602: The processor determines a target point among a plurality of active points, and demarcates a microenvironment area requiring environmental detection according to the target point.

[0089] S603: The processor uses the microenvironment area that needs to be tested as the microenvironment testing area.

[0090] S604: The processor obtains environmental detection parameters of the micro-environment detection area.

[0091] S605: The processor creates an initial three-dimensional model corresponding to the initial environment detection area.

[0092] By using 3D modeling software or technology, such as Rhino or FormZ, an initial 3D model corresponding to the initial environment detection area is constructed based on the layout and structure of the initial environment detection area. This model is used to simulate and visualize the environmental structure of the initial environment detection area.

[0093] S606: The processor associates the environmental detection parameters with the positions corresponding to the environmental detection parameters of the initial three-dimensional model to obtain a three-dimensional model of the microenvironment, so as to adjust the microenvironment using the three-dimensional model of the microenvironment.

[0094] By associating actual environmental monitoring parameters with corresponding locations in the initial 3D model, the collected environmental parameters are mapped to the corresponding locations in the initial 3D model, achieving a fusion of virtual and real life. The resulting 3D microenvironmental model not only reflects the environmental structure of the initial environmental monitoring area but also includes real-time environmental status information. Based on the 3D microenvironmental model, microenvironmental adjustments such as temperature, humidity, and lighting are made to meet the needs of organisms and maintain a comfortable state.

[0095] The method for microenvironment monitoring provided by the disclosed embodiments allows for microenvironmental adjustments to be made by comprehensively considering the activities of organisms, the spatial structure of the environment, and actual needs. By establishing a three-dimensional model of the microenvironment and updating the environmental parameters within the model in real time, the microenvironment's conditions and needs can be more accurately analyzed, allowing for targeted adjustments and improving the accuracy and efficiency of microenvironmental adjustments.

[0096] Combine Figure 7 As shown, the embodiment of the present disclosure provides another method for microenvironment regulation, comprising:

[0097] S701: The processor obtains environmental detection parameters of a microenvironment detection area.

[0098] Specifically, the specific method for obtaining the environmental detection parameters of the micro-environment detection area is referred to the above embodiment and will not be repeated here.

[0099] S702: The processor determines a target environment adjustment device in the initial environment adjustment area that affects the environment of the micro-environment adjustment area, and determines a target environment adjustment parameter associated with the target environment adjustment device in the environment adjustment parameters.

[0100] Within the initial environmental detection area, first identify the smart devices or systems that can affect the environment of the microenvironment detection area. These smart devices or systems are usually used for environmental regulation, such as air conditioning systems, ventilation equipment, smart curtains, smart air purification equipment, smart sterilization purifiers, smart dehumidification equipment, smart humidification equipment, smart lighting equipment, etc. For the identified target environmental regulation equipment, analyze which environmental detection parameters it is associated with or affects to determine the target environmental detection parameters associated with the target environmental regulation equipment. For example, air conditioning systems are related to temperature, smart lighting equipment is related to light intensity, and smart humidification equipment and smart dehumidification equipment are related to humidity.

[0101] Optionally, determining the target environment adjustment device in the initial environment detection area that affects the environment of the microenvironment detection area includes: establishing an initial three-dimensional model corresponding to the initial environment detection area; associating the environment detection parameters to the positions corresponding to the environment detection parameters of the initial three-dimensional model to obtain the microenvironment three-dimensional model; determining the environment parameters to be adjusted based on the microenvironment three-dimensional model, and determining the target environment adjustment device based on the environment parameters to be adjusted.

[0102] In this embodiment, the spatial relationship between the environment and the environmental conditioning equipment can be comprehensively considered, so as to more accurately determine the equipment and parameters that need to be adjusted. By establishing an initial micro-environment three-dimensional model and associating the environmental detection parameters, the mutual influence between the environment and the environmental conditioning equipment can be better understood, providing strong support for subsequent environmental adjustment. Specifically, by using three-dimensional modeling software or technology, such as Rhino or FormZ, an initial three-dimensional model corresponding to the initial environmental detection area is constructed according to the layout and structure of the initial environmental detection area. This model is used to simulate and visualize the environmental structure of the initial environmental detection area. The actual environmental detection parameters are then associated with the corresponding positions in the initial three-dimensional model to map the collected environmental detection parameters to the corresponding positions in the initial three-dimensional model, realizing the combination of virtual and reality, so that the obtained micro-environment three-dimensional model can not only reflect the environmental structure of the initial environmental detection area, but also contain real-time environmental status information. In the micro-environment three-dimensional model, according to actual needs and goals, the environmental parameters to be adjusted are determined, and then which smart devices or systems in the initial environmental detection area can adjust the environmental parameters to be adjusted are analyzed, thereby determining the target environmental conditioning equipment in the initial environmental detection area. For example, if the temperature needs to be adjusted, the air conditioning system is the target environment conditioning device; if the humidity needs to be increased, the intelligent humidification device is the target environment conditioning device; if the humidity needs to be lowered, the intelligent dehumidification device is the target environment conditioning device.

[0103] Optionally, determining the environmental parameters to be adjusted based on the three-dimensional model of the microenvironment includes: determining a target organism active among the organisms located in the initial environmental detection area; obtaining a target organism model corresponding to the target organism; wherein the organism model reflects the suitable environmental data of the organism; and determining the environmental parameters to be adjusted based on the three-dimensional model of the microenvironment and the target organism model.

[0104] In this embodiment, a three-dimensional modeling software or technology, such as Poser or 3D Studio Max, is used in advance to construct an organism model corresponding to each organism. The organism model may include data such as the organism's body shape and environmental demand parameters. The organism model is used to reflect the organism's suitable environment data. The target organism that is active among the organisms located in the initial environment detection area is determined. The target organism is the active subject of the initial environment detection area. The data of the target organism is matched with the organism model to determine the target organism model corresponding to the target organism. Combined with the microenvironment three-dimensional model and the target organism model, it is analyzed which environmental parameters affect the comfort or health of the target organism. These parameters are the environmental parameters to be adjusted. This embodiment can comprehensively consider the characteristics and needs of the organism, as well as the actual conditions of the environment, to determine the environmental parameters that need to be adjusted most (environmental parameters to be adjusted). Through the organism model and the microenvironment three-dimensional model, the mutual influence between the organism and the environment can be better understood, providing strong support for subsequent environmental adjustment.

[0105] Optionally, the environmental parameters to be adjusted are determined based on the three-dimensional model of the microenvironment and the target organism model, including: determining the average environmental parameters suitable for the target organism based on the target organism model; comparing the environmental detection parameters in the three-dimensional model of the microenvironment with the average environmental parameters to obtain a first comparison result; and determining the first environmental parameters to be adjusted based on the first comparison result.

[0106] In this embodiment, the difference between the actual environmental detection parameters and the average environmental parameters of the target organism can be accurately determined, thereby determining the environmental parameters that require adjustment. By comparing the environmental detection parameters in the three-dimensional microenvironment model with the average environmental parameters suitable for the target organism, a more intuitive understanding of the environmental conditions and needs can be achieved, providing accurate guidance for subsequent environmental adjustments. Specifically, based on the target organism model, multiple average environmental parameters suitable for the target organism are determined. These average environmental parameters are determined based on the physiological needs, comfort, or optimal health of the multiple target organisms. By comparing the actual environmental detection parameters in the three-dimensional microenvironment model with the average environmental parameters suitable for the target organism, the difference between the actual environmental detection parameters and the average environmental parameters is obtained, i.e., a first comparison result. Based on the first comparison result, i.e., the difference between the actual environmental detection parameters and the average environmental parameters, it is determined which environmental parameters require adjustment to meet the needs of the target organism. These environmental parameters that require adjustment are referred to as the first environmental parameters to be adjusted. For example, if the actual temperature is higher than the target organism's comfortable temperature, then the temperature is the first environmental parameter to be adjusted; if the actual light intensity is higher than the target organism's comfortable light intensity, then the light intensity is the first environmental parameter to be adjusted.

[0107] Optionally, the environmental parameters to be adjusted are determined based on the three-dimensional model of the microenvironment and the target organism model, including: constructing a three-dimensional model of an ideal environment corresponding to the target organism model; comparing the three-dimensional model of the microenvironment with the three-dimensional model of the ideal environment to obtain a second comparison result; and determining a second environmental parameter to be adjusted based on the second comparison result.

[0108] In this embodiment, a three-dimensional model of an ideal environment corresponding to the target organism can be constructed by comprehensively considering the physiological needs, comfort, or optimal health of the target organism. The three-dimensional microenvironment model is then compared with the three-dimensional model of the ideal environment to understand the gap between the current environment and the ideal environment, and a second environmental parameter to be adjusted is determined to meet the needs of the target organism. This embodiment can dynamically adjust and optimize environmental regulation based on real-time comparison of the actual environment and the ideal environment, thereby improving environmental comfort, meeting the needs of the organism, and achieving precise environmental regulation.

[0109] Furthermore, constructing an ideal environment three-dimensional model corresponding to the target organism model includes: determining the average environmental parameters of the target organism based on the target organism model; associating the average environmental parameters with the positions corresponding to the environmental detection parameters of the initial three-dimensional model to obtain the ideal environment three-dimensional model.

[0110] It can be understood that the environmental parameter to be adjusted is the first environmental parameter to be adjusted, the second environmental parameter to be adjusted, or the first environmental parameter to be adjusted and the second environmental parameter to be adjusted.

[0111] S703: The processor controls the target environment adjustment device to adjust the environment according to the target environment detection parameters.

[0112] Based on the environmental conditions and needs of the microenvironment detection area, the target environment conditioning device is controlled to adjust the environment according to the target environment detection parameters. For example, if the temperature in the microenvironment area is too high, the air conditioning system is controlled to turn on and adjust the temperature to a suitable level. If the light intensity is too low, the brightness and / or color temperature of the smart lighting device is adjusted to the target brightness and / or target color temperature to meet the user's lighting needs.

[0113] The method for microenvironment regulation provided by the embodiment of the present disclosure is used to more accurately control and adjust the conditions of the microenvironment by associating environmental detection parameters with corresponding environmental regulation equipment, thereby providing a more comfortable and suitable environment for the target organism.

[0114] Combine Figure 8 As shown, the embodiment of the present disclosure provides another method for microenvironment regulation, the method comprising:

[0115] S801: The processor obtains environmental detection parameters of a microenvironment detection area.

[0116] Specifically, the specific method for obtaining the environmental detection parameters of the micro-environment detection area is referred to the above embodiment and will not be repeated here.

[0117] S802: The processor determines a target environment adjustment device in the initial environment adjustment area that affects the environment of the micro-environment adjustment area, and determines a target environment adjustment parameter associated with the target environment adjustment device in the environment adjustment parameters.

[0118] Optionally, determining the target environment detection parameters associated with the target environment adjustment device in the environment detection parameters includes: determining the first environment parameter corresponding to the environment adjustment function of the target environment adjustment device; and using the environment detection parameters corresponding to the first environment parameter in the environment detection parameters of the microenvironment detection area as the target environment detection parameters.

[0119] In this embodiment, the function and role of the target environment adjustment device are first analyzed to determine the environmental parameters that it can adjust, such as temperature, humidity, light intensity, etc. These parameters are the first environmental parameters. Among the environmental detection parameters of the microenvironment detection area, the parameters corresponding to the first environmental parameters are determined. The corresponding parameters are determined as the target environment detection parameters for subsequent environmental adjustment operations. By determining the first environmental parameter corresponding to the environmental adjustment function of the target environment adjustment device, and finding the corresponding parameters in the environmental detection parameters of the microenvironment detection area as the target environment detection parameters, it is ensured that the target environment adjustment device can be accurately adjusted to the ideal environmental state, thereby helping to improve the comfort of the environment and meet the needs of the organism, and improving the accuracy of environmental regulation.

[0120] Optionally, determining the target environment detection parameters associated with the target environment adjustment device in the environment detection parameters includes: determining the first environment parameter corresponding to the environment adjustment function of the target environment adjustment device; determining the second environment parameter that affects the first environment parameter; and using the environment detection parameters corresponding to the first environment parameter and the second environment parameter in the environment detection parameters of the microenvironment detection area as the target environment detection parameters.

[0121] In this embodiment, the functions and effects of the target environment conditioning device are first analyzed to determine the environmental parameters it can adjust, such as temperature, humidity, and light intensity. These parameters are referred to as first environmental parameters. In addition to the first environmental parameters that directly correspond to the functions of the target environment conditioning device, there are other environmental parameters that, although not directly regulated by the target environment conditioning device, have a significant impact on the first environmental parameters. These parameters are referred to as second environmental parameters. For example, when the target environment conditioning device is an intelligent dehumidifier or intelligent humidifier, the corresponding first environmental parameter is humidity. However, changes in temperature indirectly affect humidity, so the second environmental parameter corresponding to humidity is temperature. Among the environmental detection parameters in the microenvironment detection area, the parameters corresponding to the first and second environmental parameters are determined. These corresponding parameters are then determined as the target environment detection parameters for subsequent environmental adjustment operations. The method provided in this embodiment can more comprehensively consider various factors in the environment and ensure that the target environment conditioning device can be appropriately adjusted according to actual conditions, thereby helping to improve environmental comfort and meet the needs of organisms, thereby enhancing the accuracy of environmental regulation.

[0122] S803: The processor determines the target environment adjustment parameter corresponding to the target environment detection parameter.

[0123] The target environment adjustment parameters can be user-defined environmental parameters, average environmental parameters suitable for the target organism, or ideal environmental parameters corresponding to a three-dimensional model of an ideal environment. The specific settings for the target environment adjustment parameters are not limited herein, as long as the target environment detection parameters and the target environment adjustment parameters correspond. Examples include temperature versus temperature, humidity versus humidity, and light intensity versus light intensity.

[0124] S804: The processor controls the target environment adjustment device to adjust the environment according to the target environment adjustment parameters.

[0125] The method for microenvironment regulation provided by the embodiment of the present disclosure can determine the target environment regulation parameters corresponding to the target environment detection parameters, so that the target environment regulation device can perform environmental regulation according to the target environment regulation parameters to meet the needs of the organism and achieve precise environmental regulation.

[0126] Combine Figure 9As shown, an embodiment of the present disclosure provides a device 90 for microenvironment regulation, including a processor 900 and a memory 901. Optionally, the device 90 may further include a communication interface 902 and a bus 903. The processor 900, the communication interface 902, and the memory 901 may communicate with each other through the bus 903. The communication interface 902 may be used for information transmission. The processor 900 may call the logic instructions in the memory 901 to execute the method for microenvironment regulation of the above embodiment.

[0127] In addition, the logic instructions in the memory 901 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0128] Memory 901, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present disclosure. Processor 900 executes the program instructions / modules stored in memory 901 to perform functional applications and data processing, thereby implementing the methods for microenvironment regulation in the above-mentioned embodiments.

[0129] The memory 901 may include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the terminal device. Furthermore, the memory 901 may include high-speed random access memory and non-volatile memory.

[0130] Combine Figure 2 As shown, an embodiment of the present disclosure provides a sensor 20 for microenvironment regulation, comprising: a sensor body 210, and the above-mentioned device 90 for microenvironment regulation. The device 90 for microenvironment regulation is installed on the sensor body 210. The installation relationship described here is not limited to placement inside the sensor body 210, but also includes installation connections with other components of the sensor 20 for microenvironment regulation, including but not limited to physical connections, electrical connections or signal transmission connections, etc. It can be understood by those skilled in the art that the device 90 for microenvironment regulation can be adapted to a feasible sensor 20 for microenvironment regulation, thereby realizing other feasible embodiments.

[0131] Combine Figure 1As shown, an embodiment of the present disclosure provides a control system 1 for microenvironment regulation, including the above-mentioned sensor 20 for microenvironment regulation and an environment regulation device 10. The environment regulation device 10 is electrically connected to the sensor 20, and the environment regulation device 10 is configured to perform environmental regulation according to environmental detection parameters of the microenvironment detection area detected by the sensor 20.

[0132] The environmental conditioning device 10 refers to an intelligent electronic device with intelligent control, intelligent sensing, and intelligent application features. The operation of the environmental conditioning device 10 often relies on the application and processing of modern technologies such as the Internet of Things, the Internet, and electronic chips. The environmental conditioning device 10 can communicate with other electronic devices to adjust the surrounding environment. For example, the environmental conditioning device 10 includes intelligent air conditioners, intelligent curtains, intelligent fresh air devices, intelligent air purification devices, intelligent sterilization purifiers, intelligent dehumidifiers, intelligent humidifiers, and intelligent lighting devices.

[0133] Among them, the sensor 20 for microenvironment adjustment can be connected to the above environmental adjustment device 10 by connecting to the Internet, or can be directly connected to the above environmental adjustment device 10 through Bluetooth, Wi-Fi, etc.

[0134] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned method for microenvironment regulation.

[0135] The technical solutions of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The aforementioned storage medium may be a non-transitory storage medium, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, among other media capable of storing program code.

[0136] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to also include plural forms. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of one or more associated listings. In addition, when used in this application, the term "comprise" and its variations "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups of these. In the absence of further restrictions, an element defined by the sentence "comprising a..." does not exclude the presence of other identical elements in the process, method or device that includes the element. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments can be referenced to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can be found in the description of the method part.

[0137] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. The technicians will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0138] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical functional division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, and can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. In addition, the functional units in the embodiments of the present disclosure may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0139] The flowcharts and block diagrams in the accompanying drawings show the possible implementation architectures, functions and operations of the systems, methods and computer program products according to the embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment or part of the code, and the module, program segment or part of the code contains one or more executable instructions for implementing the specified logical functions. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, which can depend on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified function or action, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for microenvironment regulation, characterized in that: include: Identify multiple activity points of organisms within the initial environmental monitoring area; Determine the target points among multiple active points, and delineate the microenvironmental areas that require environmental testing based on the target points; The microenvironmental area that needs to be tested is used as the microenvironmental testing area; Obtain environmental detection parameters of the microenvironment detection area to adjust the microenvironment according to the environmental detection parameters.

2. The method according to claim 1, characterized in that Identify multiple activity points of organisms within the initial environmental monitoring area, including: Identify target organisms active among organisms located within the initial environmental monitoring area; Determine the target acquisition period based on the activity frequency of the target organism; Multiple activity points of the target organism are collected and determined according to the target collection period.

3. The method according to claim 1 or 2, characterized in that Determine the target point among multiple active points, including: Determine the activity trajectory of each organism based on its activity point; The overlapping activity points in multiple activity trajectories are taken as target points; or, Establishing an initial three-dimensional model corresponding to the initial environmental detection area, and splitting the initial three-dimensional model into multiple three-dimensional sub-modules according to a preset ratio; Obtaining the point density value of the active points in each three-dimensional sub-module; The active points in the three-dimensional submodule whose point density value is greater than the set point density value are taken as target points.

4. The method according to claim 1 or 2, characterized in that Delineate the microenvironmental area that requires environmental testing based on the target points, including: The target points with the largest number located on the same plane are used to construct the basic plane for demarcating the range; Determine a vertical plane perpendicular to the base plane, and determine the demarcation height of the vertical plane based on the target point on the vertical plane that is farthest from the base plane; The microenvironmental area is determined using a base plane to define the range and a vertical plane to define the height.

5. The method according to claim 4, characterized in that The base plane for demarcating the range is constructed using the target points with the largest number of target points located on the same plane, including: The base plane is constructed by using the target points with the largest number of target points located in the same plane; The area range of the basic plane is determined by using the target point farthest from the center point in the basic plane to construct the basic plane with a defined range.

6. The method according to claim 1 or 2, characterized in that Environmental detection parameters include pathogen morbidity; environmental detection parameters of the microenvironment detection area include: Obtaining genetic material of pathogens in the microenvironmental detection area and determining multiple gene sequence fragments of the genetic material; The pathogenicity of the pathogen is determined based on the pathogenic properties of multiple gene sequence fragments.

7. The method according to claim 1 or 2, characterized in that Adjust the microenvironment according to environmental detection parameters, including: Establishing an initial three-dimensional model corresponding to the initial environmental detection area; Associating the environmental detection parameters with the positions corresponding to the environmental detection parameters of the initial three-dimensional model to obtain a three-dimensional model of the microenvironment; Use the three-dimensional model of the microenvironment to adjust the microenvironment.

8. A device for microenvironment regulation, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the method for microenvironment regulation according to any one of claims 1 to 7 when running the program instructions.

9. A sensor for microenvironment regulation, characterized in that: include: Sensor body; The device for microenvironment regulation as claimed in claim 8 is installed on the sensor body.

10. A control system for microenvironment regulation, characterized in that: include: The sensor for microenvironment regulation according to claim 9; The environment adjustment device is electrically connected to the sensor and is configured to adjust the microenvironment according to the environment detection parameters of the microenvironment detection area detected by the sensor.

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