Cooperative management method, device and system for space health and program product

Abstract

The invention relates to the field of space health management, in particular to a collaborative management method, device and system for space health and a program product. The method comprises the following steps: constructing a local network including monitoring equipment for communication based on position information of the monitoring equipment of a to-be-managed space; acquiring monitoring data of the monitoring equipment according to the local network; performing cross checking on the space medium data, the space environment data and the personnel state data to obtain checked monitoring data; and determining a space health score according to the verified monitoring data, or determining a space management strategy according to the verified monitoring data, and sending the space management strategy to a response device of the space management strategy through a local network. According to the method, cross verification is carried out on the monitoring data, the accuracy of the space health score and the space management strategy can be improved, data collection and strategy transmission are carried out through the constructed local network, and the response efficiency of the space management strategy can be effectively improved.

Description

Technical Field

[0001] This application relates to the field of space health management, and particularly to a collaborative management method, device, system and program product for space health. Background Art

[0002] Space health refers to the degree of influence of the environmental information of a space on human health. By evaluating a healthy space, problems of adverse space environment can be discovered and adjusted in a timely manner, the probability of health problems such as respiratory diseases or psychological stress can be reduced, and the quality of life of people living in the space can be improved.

[0003] However, the current space evaluation methods mainly rely on the way of single-point monitoring. For example, environmental data is collected through independent devices, and evaluation results are generated based on the data collected by the independent devices. The accuracy of the evaluation results is not high, and the efficiency of responding to the evaluation results is not high, which is not conducive to further improving the health of people in the space. Summary of the Invention

[0004] In view of this, embodiments of this application provide a collaborative management method, device, equipment and program product for space health, so as to solve the problems in the prior art that the accuracy of the evaluation results is not high, the efficiency of responding to the evaluation results is not high, and it is not conducive to improving the health of people in the space.

[0005] The first aspect of the embodiments of this application provides a collaborative management method for space health, and the method includes: Based on the location information of the monitoring devices in the space to be managed, a local network for communication between the monitoring devices is constructed. The monitoring devices include space medium monitoring devices, space environment monitoring devices and space personnel status monitoring devices; According to the local network, the monitoring data of the monitoring devices is obtained. The monitoring data includes space medium data collected by the space medium monitoring devices, space environment data collected by the space environment monitoring devices and personnel status data collected by the personnel status monitoring devices; Cross-check the space medium data, the space environment data and the personnel status data to obtain the cross-checked monitoring data; Determine a space health score according to the cross-checked monitoring data, or determine a space management strategy according to the cross-checked monitoring data, and send the space management strategy to the response device of the space management strategy through the local network.

[0006] Combined with the first aspect, in the first possible implementation manner of the first aspect, the space to be managed is an urban space, and the monitoring devices include fixed monitoring devices and smart wearable devices; Based on the location information of the monitoring devices in the space to be managed, a local network for communication between the monitoring devices is constructed, including: Based on the location information of the intelligent wearable devices and fixed monitoring devices in the space to be managed, the intelligent wearable devices establish a Bluetooth connection network with the nearest fixed monitoring devices; Based on the location information of the fixed monitoring devices in the space to be managed, the fixed monitoring devices establish an ad-hoc network with other fixed monitoring devices.

[0007] Combined with the first possible implementation manner of the first aspect, in the second possible implementation manner of the first aspect, according to the verified monitoring data, a space management strategy is determined, and the space management strategy is sent to the response device of the space management strategy through the local network, including: Compare the verified monitoring data with a preset threshold, and determine the key influencing factors affecting the space to be managed; Determine the response device corresponding to the key influencing factor, and trigger the response device to perform space optimization through the local network.

[0008] Combined with the second possible implementation manner of the first aspect, in the third possible implementation manner of the first aspect, the response device includes at least one of a sterilization device, a dust reduction device, a poisonous gas purification device, a temperature adjustment device, a humidity adjustment device, a noise interference device, an illuminance adjustment device, and a space design optimization system, and the key influencing factors include at least one of a space microorganism factor, a space dust factor, a space poisonous gas factor, a space temperature factor, a space humidity factor, a space noise factor, a space illuminance factor, and a space design factor; Determine the response device corresponding to the key influencing factor, and trigger the response device to perform space optimization through the local network, including at least one of the following methods: Determine the sterilization device corresponding to the space microorganism factor, and trigger the sterilization device to perform germ killing on the space through the local network; Determine the dust reduction device corresponding to the space dust factor, and trigger the dust reduction device to perform dust reduction treatment on the space through the local network; Determine the poisonous gas purification device corresponding to the space poisonous gas factor, and trigger the poisonous gas purification device to perform poisonous gas decomposition on the space through the local network; Determine the temperature adjustment device corresponding to the space temperature factor, and trigger the temperature adjustment device to adjust the temperature of the space through the local network; Determine the humidity adjustment device corresponding to the space humidity factor, and trigger the humidity adjustment device to adjust the humidity of the space through the local network; Determine the noise interference device corresponding to the spatial noise factor, and trigger the noise interference device to interfere with the noise in the space through the local network; Determine the illuminance adjustment device corresponding to the spatial illuminance factor, and trigger the illuminance adjustment device to adjust the illuminance in the space through the local network; Determine the spatial design optimization system corresponding to the spatial design factor, and trigger the spatial design optimization system to optimize the spatial design through the local network.

[0009] Combined with the first possible implementation manner of the first aspect, in the fourth possible implementation manner of the first aspect, determining a space management strategy according to the verified monitoring data, and sending the space management strategy to the response device of the space management strategy through the local network, includes: Determine a first space health score according to the monitoring data, and obtain a second space health score of other locations within a preset range through the local network; Obtain the locations with the second space health score higher than the first space health score, and send the locations to the user terminal through the local network.

[0010] Combined with the first aspect, in the fifth possible implementation manner of the first aspect, the space to be managed includes the interior space of a vehicle, and the monitoring devices include in-vehicle devices and smart wearable devices; Based on the location information of the monitoring devices in the space to be managed, constructing a local network for communication between the monitoring devices, includes: Based on the location information of the in-vehicle devices and smart wearable devices in the space to be managed, establish a Bluetooth connection network between the in-vehicle devices and the smart wearable devices in the vehicle; Based on the location information of the in-vehicle devices in the space to be managed, establish an ad hoc network between the in-vehicle devices and other in-vehicle devices.

[0011] Combined with any one of the first aspect to the fifth possible implementation manner of the first aspect, in the sixth possible implementation manner of the first aspect, the personnel status data includes personnel activity trajectories and personnel physiological data; Determining the space health score according to the verified monitoring data, includes: Determine the exercise intensity of the personnel according to the personnel physiological data in the verified personnel status data; Determine the physical fitness value score of the space according to the exercise intensity of the personnel and the verified personnel activity trajectories; Input the verified space medium data and space environment data into a preset calculation model to obtain the comfort score of the space to be managed; Determine the space health score according to the physical fitness value score and the comfort score.

[0012] In a second aspect of the embodiments of the present application, a collaborative management device for space health is provided. The device includes: A local network construction unit, configured to construct a local network including communication with the monitoring devices based on the location information of the monitoring devices in the space to be managed. The monitoring devices include space medium monitoring devices, space environment monitoring devices, and space personnel status monitoring devices; A monitoring data acquisition unit, configured to acquire the monitoring data of the monitoring devices according to the local network. The monitoring data includes space medium data collected by the space medium monitoring device, space environment data collected by the space environment monitoring device, and personnel status data collected by the personnel status monitoring device; A cross-check unit, configured to perform cross-check on the space medium data, the space environment data, and the personnel status data to obtain the cross-checked monitoring data; A scoring response unit, configured to determine a space health score according to the cross-checked monitoring data, or determine a space management strategy according to the cross-checked monitoring data, and send the space management strategy to the response device of the space management strategy through the local network.

[0013] In a third aspect of the embodiments of the present application, a collaborative management system for space health is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the collaborative management system for space health implements the method according to any one of the first aspects.

[0014] In a fourth aspect of the embodiments of the present application, a computer program product is provided, which, when running on a computer, causes the computer to execute the method according to the first aspect or its various implementation manners.

[0015] In a fifth aspect of the embodiments of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of the first aspects are implemented.

[0016] In a sixth aspect of the embodiments of the present application, a chip is provided for implementing the methods according to the various implementation manners in the first aspect. Specifically, the chip includes: a processor, configured to call and run a computer program from a memory, so that a device installed with the chip executes the method according to the first aspect or its various implementation manners.

[0017] The beneficial effects of the embodiments of the present application compared with the prior art are as follows: The embodiments of the present application construct a local network for communication with monitoring devices based on the location information of the monitoring devices in the space to be managed, obtain space medium data, space environment data, and personnel status data according to the local network, perform cross-checking based on the space medium data, space environment data, and personnel status data, determine the space health score according to the verified monitoring data, or determine the space management strategy according to the verified monitoring data, and send it to the response device through the local network. Since this method can perform cross-checking based on the space medium data, space environment data, and personnel status data, it is beneficial to improve the accuracy of the space health score and the space management strategy. Moreover, data collection is carried out through the constructed local network, the generation of the space management strategy is completed through the terminal and sent to the response device through the local network, which can effectively improve the response efficiency of the space management strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 FIG. is a schematic diagram of an application scenario of a collaborative management method for space health provided by an embodiment of the present application; Figure 2 FIG. is a schematic diagram of an implementation process of a collaborative management method for space health provided by an embodiment of the present application; Figure 3 FIG. is a schematic diagram of a monitoring data structure provided by an embodiment of the present application; Figure 4 FIG. is a schematic diagram of an implementation process of a method for determining a space health score provided by an embodiment of the present application; Figure 5 FIG. is a schematic diagram of a collaborative management device for space health provided by an embodiment of the present application; Figure 6 FIG. is a schematic diagram of a collaborative management system for space health provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, the detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0021] To illustrate the technical solution described in this application, specific embodiments are used for illustration below.

[0022] Spatial health refers to the impact of various factors in the environment where humans are located on human health. By scientifically evaluating the spatial health status, adverse environmental factors can be detected and improved in a timely manner, thereby effectively reducing health risks such as respiratory diseases and psychological stress, and significantly improving the quality of life of residents.

[0023] The current spatial health assessment system has obvious limitations: mainly adopting a single-point monitoring mode, that is, relying on independent devices to collect local environmental data and generate assessment reports. This traditional method has two major defects: one is that the representativeness of the monitoring data is insufficient, resulting in limited assessment accuracy; the other is that the response mechanism is sluggish, affecting the timeliness of intervention. These technical bottlenecks seriously restrict the improvement of the spatial health management level and are difficult to meet the development needs of modern healthy living environments.

[0024] Based on the above problems, the embodiment of this application proposes a collaborative management method for spatial health. Figure 1 It is a schematic diagram of the implementation scenario of this method. As Figure 1 shown, in the implementation scenario of the collaborative management method for spatial health, it includes a response device 1, multiple first monitoring devices 2, and multiple second monitoring devices 3. The first monitoring devices 2 can include devices such as spatial environment monitoring devices 21 and spatial medium monitoring devices 22. The second monitoring devices 3 can include devices such as smart wearable devices 31. Among them, the first monitoring devices 2 can be used to obtain spatial medium data and spatial environment data. The second monitoring devices 3 can be used to obtain personnel status data. The second monitoring devices 3 can establish a communication connection with the nearest first monitoring device 2, such as establishing a Bluetooth communication connection, a Wifi connection, etc. Multiple first monitoring devices 2 can build an ad hoc network, including, for example, a Mesh network, a Zigbee network, etc. The first monitoring devices 2 can also access the Internet wirelessly or by wire, and obtain monitoring data related to the space to be managed through the Internet. The first monitoring devices 2 can perform cross-checking based on the obtained spatial medium data, spatial environment data, and personnel status data. The monitored data after verification can determine the spatial health score through the first monitoring devices 2, or determine the spatial management strategy according to the verified monitored data, and send the spatial management strategy to the response device 1 through the local network to quickly respond to the spatial management strategy.

[0025] Figure 2 It is a schematic diagram of the implementation process of a collaborative management method for spatial health provided by the embodiment of this application, which is described in detail as follows: In S201, based on the location information of the monitoring devices in the space to be managed, a local network for communication among the monitoring devices is constructed. The monitoring devices include a space medium monitoring device, a space environment monitoring device, and a space personnel status monitoring device.

[0026] The monitoring devices in the embodiments of this application can adopt different settings according to different spaces to be managed. For example, when the space to be managed is an urban space, the space medium monitoring device and the space environment monitoring device can be fixed monitoring devices. The space medium monitoring device and the space environment monitoring device can be set at specific locations in the urban space to be managed.

[0027] In a possible implementation, the space medium monitoring device and the space environment monitoring device can be integrated into the same device.

[0028] The space personnel status monitoring device can include intelligent wearable devices, such as intelligent bracelets, etc. Users can wear the intelligent wearable devices and move freely in the space.

[0029] If the space to be managed is an urban space, when constructing a local network for communication among the monitoring devices based on the location information of the monitoring devices in the space to be managed, a Bluetooth connection network can be established between the intelligent wearable device and the nearest fixed monitoring device based on the location information of the intelligent wearable device and the fixed monitoring devices in the space to be managed; a self-organizing network can be established between the fixed monitoring devices based on the location information of the fixed monitoring devices in the space to be managed.

[0030] In a specific implementation process, the fixed monitoring device can send connection requests according to a preset broadcast period. For example, the fixed monitoring device can send Bluetooth connection requests or Wifi connection requests according to a preset broadcast period. When the intelligent wearable device detects the request, it can automatically establish a network connection with the fixed monitoring device.

[0031] The fixed monitoring device can automatically construct a self-organizing network according to the pre-installed location, including, for example, a Mesh network or a Zigbee network. In addition to collecting monitoring data by itself, each fixed monitoring device can obtain the monitoring data obtained by the intelligent wearable device and can also obtain the monitoring data obtained by other fixed monitoring devices. In addition, the fixed monitoring device can also access the Internet through wired or wireless connection methods and obtain monitoring data from the data platform of the Internet, including, for example, air data in different regions, including air PM2.5 data, temperature, humidity, or illuminance data.

[0032] The response device can be a device that is fixedly set in advance and can be connected to the fixed monitoring device through a self-organizing network, or can also be connected to the fixed monitoring device through a network such as Wifi to construct a local network.

[0033] If the space to be managed is the in-vehicle space, the monitoring devices include in-vehicle devices, smart wearable devices, and response devices, and the response device can be integrated with the in-vehicle device into the same device. The in-vehicle device can include a space medium monitoring device and a space environment monitoring device. The smart wearable device can be a personnel status monitoring device.

[0034] The smart wearable device can establish a Bluetooth network connection or a Wifi network connection with the in-vehicle device, and the response device can establish a wired connection with the in-vehicle device. Based on the location information of the in-vehicle device and the smart wearable device, when the smart wearable device enters the vehicle, a connection request sent by the in-vehicle device can be received, and a network connection with the in-vehicle device can be automatically established. The in-vehicle device can establish a network connection with other in-vehicle devices through the V2X communication protocol, or access the Internet through V2X, or access the Internet through a mobile communication module, or establish a network connection with other in-vehicle devices through an ad-hoc network.

[0035] In a possible implementation, the space to be managed can also be a room. Fixed monitoring devices, routing devices, and response devices can be set in the room, and personnel can wear smart wearable devices, such as smart bracelets, etc. The smart wearable device or the response device can be connected to the fixed monitoring device through Bluetooth, and the fixed monitoring device can access the Internet through a Wifi network. The fixed monitoring device can determine a space health score or determine a space management strategy based on the acquired data, and send the response strategy to the response device through a local network. Alternatively, the smart wearable device or the response device can also be connected to the access device through a Wifi network. The fixed monitoring device can include a space medium monitoring device and a space environment monitoring device.

[0036] By constructing a local network including monitoring devices, it is convenient to quickly obtain the monitoring data of the location where the personnel are located, efficiently generate a space management strategy, and send the space management strategy to the response device through the local network efficiently.

[0037] In S202, according to the local network, the monitoring data of the monitoring devices is acquired, and the monitoring data includes space medium data collected by the space medium monitoring device, space environment data collected by the space environment monitoring device, and personnel status data collected by the personnel status monitoring device.

[0038] In order to be able to more comprehensively evaluate the space health, the embodiments of the present application can comprehensively collect monitoring data, such as Figure 3 As shown, the collected monitoring data includes space medium data, space environment data, and personnel status data.

[0039] Among them, the spatial medium data includes data such as spatial biological medium, spatial dust medium, and spatial gas medium. The spatial biological medium includes at least one of spatial virus data, spatial mosquito data, spatial fungus data, and spatial bacteria data. The spatial dust medium includes at least one of spatial inorganic dust data and spatial organic dust data. The spatial gas medium includes at least one of spatial toxic gas data, spatial radioactive gas, spatial odor gas, and spatial carbon dioxide concentration. If the spatial carbon dioxide concentration is too high, it will affect human health and work efficiency, and it is necessary to control the carbon dioxide concentration within the set range, such as less than 600 ppm. The spatial medium data can be determined by sampling.

[0040] The spatial environment data can include at least one of spatial temperature, spatial humidity, spatial noise, and spatial illuminance. Among them, the spatial temperature can include the outdoor temperature in urban space, the in-vehicle temperature in the vehicle space, or the room temperature in the personal living space, etc. Different recommended temperature ranges can be set in different spaces. For example, the recommended temperature range in offices or residences is 20 - 26 °C, the recommended temperature range in industrial workshops is 16 - 24 °C, and the recommended temperature range in hospitals or laboratories is 22 - 25 °C. The spatial temperature can be obtained through a digital thermometer.

[0041] The spatial humidity is related to the climatic conditions of the space. For indoor spaces, the humidity is also related to building materials, human activities, and ventilation. If the humidity is too low, it is easy to cause dry skin and increased static electricity. If the humidity is too high, it is easy to breed mold and cause the risk of respiratory diseases. Therefore, a comfort range can be set, such as setting a humidity range of 40% - 60%. Exceeding this range indicates that the spatial humidity factor is abnormal. The spatial humidity of the space to be managed can be collected through a humidity sensor.

[0042] Spatial noise includes traffic noise, building equipment noise, and human activity noise. Traffic noise includes vehicle noise, subway noise, aircraft noise, etc. Building equipment noise includes air conditioner noise, elevator noise, etc. Human activity noise includes speech noise, footsteps noise, etc. The spatial noise of the space to be managed can be collected through a microphone.

[0043] The personnel status data can include personnel activity trajectories and personnel physiological data. The personnel physiological data can include heart rate data, blood oxygen data, body temperature data, etc. The personnel activity trajectories in the space to be managed can be determined through the positioning information of the intelligent wearable devices worn by the personnel. The personnel activity trajectories include the personnel activity locations and the residence duration at different locations. The heart rate data of the personnel is obtained through the heart rate detection module of the intelligent wearable device, and the body temperature data of the personnel is detected by the temperature detection module. The heart rate data can reflect the exercise intensity of the personnel in real time. According to the exercise intensity and residence duration, the physical fitness value scores of different spatial positions can be obtained. The physical fitness value scores can be calculated through statistical analysis of a large amount of personnel data.

[0044] In S203, cross-check the space medium data, the space environment data, and the personnel status data to obtain the verified monitoring data.

[0045] After obtaining the space medium data, the space environment data, and the personnel status data, multi-source data comparison and logical verification can be performed on the monitoring data to eliminate errors and identify anomalies, so as to generate highly reliable monitoring data.

[0046] Among them, the cross-check may include at least one of data consistency check, spatio-temporal correlation check, and physiological logic check.

[0047] The data consistency check includes the measurement of the same parameter by different sensors. For example, if the temperature sensor does not match the personnel's body sensation feedback data, abnormal data can be eliminated through the degree of deviation from the mean value. The greater the degree of deviation from the mean value, the higher the priority of elimination.

[0048] The spatio-temporal correlation check is performed through parameters of time synchronization or space alignment. For example, the concentration of carbon dioxide can be aligned with the personnel density for verification. If the carbon dioxide concentration in the meeting room suddenly rises to a large value during the period when there is no one, it may be a sensor failure or an abnormal ventilation system.

[0049] The physiological logic check includes the physiological correlation check between the personnel status and the environmental parameters. For example, the correlation check between the heart rate and the humidity. When the temperature increases, the heart rate will increase accordingly. If the heart rate remains unchanged, it may be that the heart rate detection device is distorted, or the temperature detection is distorted.

[0050] In S204, determine the space health score according to the verified monitoring data, or determine the space management strategy according to the verified monitoring data, and send the space management strategy to the response device of the space management strategy through the local network.

[0051] The embodiment of the present application can determine the space health score based on the verified monitoring data. As Figure 4 shown, the process of determining the space health score may include: In S401, determine the exercise intensity of the personnel according to the personnel physiological data in the verified personnel status data.

[0052] The personnel status data includes personnel physiological data, which can be based on blood oxygen data, heart rate data, body temperature data, etc. in the personnel physiological data. The exercise intensity of the personnel at different times can be determined according to the corresponding relationship between the preset exercise intensity value and the personnel physiological data.

[0053] In S402, determine the physical fitness value score of the space according to the exercise intensity of the personnel and the verified personnel activity trajectory.

[0054] Based on the residence duration at different positions included in the personnel activity trajectory and combined with the exercise intensity at each moment, the physical fitness value score of different positions can be obtained. This physical fitness value score is used to represent the contribution degree of the current space conducive to physical exercise. The higher the score, the higher the contribution degree conducive to physical exercise.

[0055] In S403, the verified space medium data and space environment data are input into a preset calculation model to obtain the comfort score of the space to be managed.

[0056] Inputting the verified space medium data and space environment data into a preset calculation model, such as a comfort calculation model, the comfort score of the space to be managed can be obtained. This calculation model can be a neural network model that has been pre-trained. For example, the model can be trained by collecting a large amount of space medium data and space environment data, as well as the comfort levels feedback by a large number of people on this space medium data and space environment data.

[0057] In S404, the space health score is determined according to the physical fitness value score and the comfort score.

[0058] The weight coefficients of the physical fitness value score and the comfort score can be determined in advance, and the space health score is calculated by summing according to the determined weight coefficients. According to this space health score, space comparison can be carried out, and the space with a higher score can be recommended to users.

[0059] In the embodiments of the present application, the verified monitoring data can also be compared with the thresholds of each monitoring data to determine the key influencing factors affecting the space to be managed, find the response devices corresponding to the key influencing factors, and trigger the response devices through the local network for space optimization. When the monitoring data is significantly worse than the threshold, the parameter worse than the threshold is determined as the key influencing factor. For example, if the space dust concentration is higher than the dust concentration threshold, the space dust factor is determined as the key influencing factor.

[0060] The response devices in the embodiments of the present application include at least one of a sterilization device, a dust reduction device, a poisonous gas purification device, a temperature adjustment device, a humidity adjustment device, a noise interference device, an illuminance adjustment device, and a space design optimization system. The key influencing factors include at least one of a space microorganism factor, a space dust factor, a space poisonous gas factor, a space temperature factor, a space humidity factor, a space noise factor, a space illuminance factor, and a space design factor. Based on the response devices corresponding to the key influencing factors, triggering the response devices through the local network for space optimization can include at least one of the following optimization methods: Determine the sterilization device corresponding to the space microorganism factor, and trigger the sterilization device through the local network to disinfect the space.

[0061] Determine the dust reduction equipment corresponding to the spatial dust factor, and trigger the dust reduction equipment through the local network to perform dust reduction treatment on the space.

[0062] Determine the poisonous gas purification equipment corresponding to the spatial poisonous gas factor, and trigger the poisonous gas purification equipment through the local network to decompose the poisonous gas in the space.

[0063] Determine the temperature adjustment equipment corresponding to the spatial temperature factor, and trigger the temperature adjustment equipment through the local network to adjust the temperature of the space. For example, in urban spaces, cooling is achieved by spraying water, and in indoor spaces, cooling is achieved by air conditioners.

[0064] Determine the humidity adjustment equipment corresponding to the spatial humidity factor, and trigger the humidity adjustment equipment through the local network to adjust the humidity of the space. For example, dehumidifying equipment is used to reduce the humidity in indoor spaces.

[0065] Determine the noise interference equipment corresponding to the spatial noise factor, and trigger the noise interference equipment through the local network to interfere with the noise in the space. For example, an active noise reduction system generates reverse sound waves to reduce the noise level.

[0066] Determine the illuminance adjustment equipment corresponding to the spatial illuminance factor, and trigger the illuminance adjustment equipment through the local network to adjust the illuminance of the space.

[0067] Determine the spatial design optimization system corresponding to the spatial design factor, and trigger the spatial design optimization system through the local network to optimize the spatial design.

[0068] By connecting the response device to the monitoring device through the local network, such as a fixed monitoring device or a vehicle-mounted device, the space management strategy can be quickly sent to the response device for space optimization.

[0069] In the embodiments of the present application, the spatial design optimization system can obtain the physical fitness value score based on the design element information in the space to be optimized, combine the physical fitness value scores of the design elements in other spaces, input them into the physical fitness value evaluation model for training, and optimize the design elements in the space to be optimized according to the trained physical fitness value evaluation model, including optimizing the positional relationship of the design elements, changing the content of the design elements, etc. The design elements can include elements such as exercise equipment and the size of the activity space.

[0070] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0071] Figure 5Schematic diagram of a collaborative management device for space health provided by an embodiment of the present application. The device includes: A local network construction unit 501, configured to construct a local network for communication with the monitoring devices based on the location information of the monitoring devices in the space to be managed. The monitoring devices include space medium monitoring devices, space environment monitoring devices, and space personnel status monitoring devices; A monitoring data acquisition unit 502, configured to acquire the monitoring data of the monitoring devices according to the local network. The monitoring data includes space medium data collected by the space medium monitoring devices, space environment data collected by the space environment monitoring devices, and personnel status data collected by the personnel status monitoring devices; A cross-check unit 503, configured to perform cross-check on the space medium data, the space environment data, and the personnel status data to obtain the cross-checked monitoring data; A scoring response unit 504, configured to determine a space health score according to the cross-checked monitoring data, or determine a space management strategy according to the cross-checked monitoring data, and send the space management strategy to the response device of the space management strategy through the local network.

[0072] Figure 5 The collaborative management device for space health shown corresponds to Figure 2 The collaborative management method for space health shown.

[0073] Figure 6 Is a schematic diagram of a collaborative management system for space health provided by an embodiment of the present application. As Figure 6 Shown, the collaborative management system 6 for space health of this embodiment includes: a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60, such as a collaborative management program for space health. When the processor 60 executes the computer program 62, the steps in the above-mentioned various embodiments of the collaborative management method for space health are implemented. Alternatively, when the processor 60 executes the computer program 62, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0074] Exemplarily, the computer program 62 can be divided into one or more modules / units. The one or more modules / units are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 62 in the collaborative management system 6 for space health.

[0075] The collaborative management system for spatial health may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 6 This is merely an example of the collaborative management system 6 for spatial health and does not constitute a limitation on the collaborative management system 6 for spatial health. It may include more or fewer components than those shown in the figure, or combine certain components, or have different components. For example, the collaborative management system for spatial health may also include input / output devices, network access devices, a bus, etc.

[0076] The so-called processor 60 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0077] The memory 61 may be an internal storage unit of the collaborative management system 6 for spatial health, such as the hard disk or memory of the collaborative management system 6 for spatial health. The memory 61 may also be an external storage device of the collaborative management system 6 for spatial health, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the collaborative management system 6 for spatial health. Further, the memory 61 may also include both the internal storage unit and the external storage device of the collaborative management system 6 for spatial health. The memory 61 is used to store the computer program and other programs and data required by the collaborative management system for spatial health. The memory 61 may also be used to temporarily store the data that has been output or is to be output.

[0078] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be assigned to different functional units and modules according to needs, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiments can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0079] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0080] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in the form of hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0081] In the embodiments provided in this application, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are only illustrative. For example, the division of the module or unit is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0082] The unit described as a separated component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] In addition, in each embodiment of the present application, each functional unit may be integrated into a processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional unit.

[0084] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on such an understanding, all or part of the processes in the above-mentioned embodiment methods of the present application can also be completed by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0085] In addition, the embodiment of the present application also provides a computer program product, which when running on a computer, enables the computer to execute the methods in the above-mentioned implementation manners.

[0086] The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A collaborative management method for spatial health, characterized in that, The method includes: Based on the location information of the monitoring devices in the space to be managed, a local network for communication among the monitoring devices is constructed. The monitoring devices include a space medium monitoring device, a space environment monitoring device, and a space personnel status monitoring device; According to the local network, the monitoring data of the monitoring devices is obtained. The monitoring data includes space medium data collected by the space medium monitoring device, space environment data collected by the space environment monitoring device, and personnel status data collected by the personnel status monitoring device; The space medium data, the space environment data, and the personnel status data are cross-checked to obtain the cross-checked monitoring data; Based on the cross-checked monitoring data, a space health score is determined, or based on the cross-checked monitoring data, a space management strategy is determined, and the space management strategy is sent to the response device of the space management strategy through the local network.

2. The method according to claim 1, wherein The space to be managed is an urban space, and the monitoring devices include fixed monitoring devices and smart wearable devices; Based on the location information of the monitoring devices in the space to be managed, constructing a local network for communication among the monitoring devices includes: Based on the location information of the smart wearable devices and fixed monitoring devices in the space to be managed, the smart wearable devices establish a Bluetooth connection network with the nearest fixed monitoring device; Based on the location information of the fixed monitoring devices in the space to be managed, the fixed monitoring devices establish an ad-hoc network with other fixed monitoring devices.

3. The method according to claim 2, characterized in that, According to the cross-checked monitoring data, determining a space management strategy and sending the space management strategy to the response device of the space management strategy through the local network includes: Comparing the cross-checked monitoring data with a preset threshold to determine the key influencing factors affecting the space to be managed; Determining the response device corresponding to the key influencing factors, and triggering the response device to perform space optimization through the local network.

4. The method according to claim 3, characterized in that, The response device includes at least one of a sterilization device, a dust reduction device, a poisonous gas purification device, a temperature regulation device, a humidity regulation device, a noise interference device, an illuminance regulation device, and a space design optimization system. The key influencing factors include at least one of a space microorganism factor, a space dust factor, a space poisonous gas factor, a space temperature factor, a space humidity factor, a space noise factor, a space illuminance factor, and a space design factor; Determining the response device corresponding to the key influencing factors and triggering the response device to perform space optimization through the local network includes at least one of the following methods: Determining the sterilization device corresponding to the space microorganism factor, and triggering the sterilization device to perform germ killing on the space through the local network; Determining the dust reduction device corresponding to the space dust factor, and triggering the dust reduction device to perform dust reduction treatment on the space through the local network; Determining the poisonous gas purification device corresponding to the space poisonous gas factor, and triggering the poisonous gas purification device to perform poisonous gas decomposition on the space through the local network; Determining the temperature regulation device corresponding to the space temperature factor, and triggering the temperature regulation device to regulate the temperature of the space through the local network; Determine the humidity adjustment device corresponding to the spatial humidity factor, and trigger the humidity adjustment device to adjust the humidity of the space through the local network; Determine the noise interference device corresponding to the spatial noise factor, and trigger the noise interference device to interfere with the noise of the space through the local network; Determine the illuminance adjustment device corresponding to the spatial illuminance factor, and trigger the illuminance adjustment device to adjust the illuminance of the space through the local network; Determine the spatial design optimization system corresponding to the spatial design factor, and trigger the spatial design optimization system to optimize the spatial design through the local network.

5. The method according to claim 2, wherein Determine the space management strategy according to the verified monitoring data, and send the space management strategy to the response device of the space management strategy through the local network, including: Determine the first space health score according to the monitoring data, and obtain the second space health score of other locations within a preset range through the local network; Obtain the locations with the second space health score higher than the first space health score, and send the locations to the user terminal through the local network.

6. The method according to claim 1, characterized in that The space to be managed includes the in-vehicle space, and the monitoring devices include in-vehicle devices and intelligent wearable devices; Based on the location information of the monitoring devices in the space to be managed, construct a local network including the communication of the monitoring devices, including: Based on the location information of the in-vehicle devices and intelligent wearable devices in the space to be managed, the in-vehicle devices establish a Bluetooth connection network with the intelligent wearable devices in the vehicle; Based on the location information of the in-vehicle devices in the space to be managed, the in-vehicle devices establish an ad hoc network with other in-vehicle devices.

7. The method according to any one of claims 1-6, characterized in that, The personnel status data includes personnel activity trajectories and personnel physiological data; Determine the space health score according to the verified monitoring data, including: Determine the exercise intensity of the personnel according to the personnel physiological data of the verified personnel status data; Determine the physical fitness value score of the space according to the exercise intensity of the personnel and the verified personnel activity trajectories; Input the verified space medium data and space environment data into a preset calculation model to obtain the comfort score of the space to be managed; Determine the space health score according to the physical fitness value score and the comfort score.

8. A collaborative management device for spatial health, characterized in that, The device includes: A local network construction unit, configured to construct a local network including the communication of the monitoring devices based on the location information of the monitoring devices in the space to be managed, where the monitoring devices include a space medium monitoring device, a space environment monitoring device, and a space personnel status monitoring device; A monitoring data acquisition unit, configured to acquire the monitoring data of the monitoring devices according to the local network, where the monitoring data includes space medium data collected by the space medium monitoring device, space environment data collected by the space environment monitoring device, and personnel status data collected by the personnel status monitoring device; A cross-check unit, configured to perform cross-check on the space medium data, the space environment data, and the personnel status data to obtain the verified monitoring data; A scoring response unit, configured to determine a space health score according to the verified monitoring data, or determine a space management strategy according to the verified monitoring data, and send the space management strategy to a response device of the space management strategy through the local network.

9. A collaborative management system for spatial health, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the collaborative management system for space health implements the method according to any one of claims 1-7.

10. A computer program product, comprising computer program instructions, characterized in that, When the computer program is running, the method according to any one of claims 1-7 is executed.

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