Multi-sensor fusion real-time monitoring disinfection system and method

Abstract

The application relates to the field of disinfection monitoring, and discloses a multi-sensor fusion real-time monitoring disinfection system and method.The system comprises a type matching module, which is used for selecting an adaptive target sensor group from a plurality of types of preset sensors based on the spatial characteristics of a place to be disinfected; a position matching module, which is used for determining a deployment position for each target sensor based on the layout planning of the place to be disinfected, forming a deployment position set, matching the target sensor group with the deployment position set, and constructing a plurality of perception monitoring units, each perception monitoring unit comprising a deployment position and a corresponding target sensor.Through the type matching and position matching modules, the system can select a suitable sensor according to the spatial characteristics of the place to be disinfected and determine the deployment position of the sensor, so that targeted environmental monitoring is realized, and the generation of real-time environmental characteristic data is more reliable due to the precise monitoring capability.

Description

Technical Field

[0001] This application relates to the field of disinfection monitoring, and in particular to a multi-sensor fusion real-time monitoring system and method for disinfection. Background Technology

[0002] Currently, traditional systems often employ fixed sensor layouts and standardized disinfection procedures, failing to make targeted adjustments based on the specific spatial characteristics and usage of each location. This limits the accuracy and reliability of monitoring data, making it easy to overlook certain potential risk areas. Furthermore, they typically rely on periodic inspections and manual assessments, making it impossible to obtain information on environmental changes in real time. This delayed response mechanism means that high-risk areas may not be identified and addressed in a timely manner for an extended period, thereby increasing the risk of infection or contamination.

[0003] Furthermore, traditional systems often lack comprehensive consideration of historical data, personnel activity patterns, and external environmental factors. Without comprehensive information integration, risk assessment cannot be all-rounded, which may lead to incorrect judgments and unnecessary waste of resources. Moreover, in traditional disinfection solutions, resource allocation is usually based on experience or simple rules, rather than being optimized according to actual risk assessment. This may result in insufficient disinfection in high-risk areas and over-disinfection in low-risk areas, causing unnecessary waste of resources. Summary of the Invention

[0004] This application provides a multi-sensor fusion real-time monitoring disinfection method to at least partially solve the above-mentioned technical problems.

[0005] To achieve the above objectives, according to a first aspect of this application, a multi-sensor fusion real-time monitoring disinfection method is provided, comprising:

[0006] The type matching module is used to select a suitable target sensor group from a variety of preset sensor types based on the spatial characteristics of the place to be disinfected.

[0007] The location matching module is used to determine the deployment location of each target sensor based on the layout planning of the place to be disinfected, forming a set of deployment locations. The target sensor group is matched with the set of deployment locations to construct multiple sensing and monitoring units. Each sensing and monitoring unit includes a deployment location and a corresponding target sensor.

[0008] The real-time monitoring module is used to deploy the target sensors in each sensing and monitoring unit to their respective deployment locations, receive the monitoring data streams transmitted back by each target sensor in real time, generate real-time environmental characteristic data of the area monitored by the sensing and monitoring unit based on the monitoring data streams of each target sensor in each sensing and monitoring unit, and assess the current pollution risk level of each area of ​​the place to be disinfected by combining the real-time environmental characteristic data of each sensing and monitoring unit.

[0009] The risk assessment module is used to obtain historical disinfection information and future usage plan data for the site to be disinfected; based on the historical disinfection information and future usage plan data, it calculates the potential contamination risk level of the site to be disinfected in each future time interval.

[0010] The key monitoring module is used to determine whether the potential contamination risk level of the place to be disinfected exceeds a preset first risk threshold for each time interval. If it exceeds the first risk threshold, the usage area corresponding to the time interval is identified as a key monitoring area. For potential areas of concern with a potential contamination risk level lower than the first risk threshold, the historical contamination records of each potential area of ​​concern are obtained.

[0011] The enhanced monitoring module is used to determine whether each potential area of ​​concern meets the preset enhanced monitoring requirements by combining the historical pollution records of the potential area of ​​concern and the potential pollution risk level of the site to be disinfected in the corresponding time interval of the potential area of ​​concern. If it does, the potential area of ​​concern is identified as a key monitoring area.

[0012] Optionally, the historical disinfection information includes disinfection time points, disinfection methods and disinfection results, and the future use arrangement data includes the use time interval, user categories and use frequency;

[0013] Based on historical disinfection information and future usage plan data, calculate the potential contamination risk level of the site to be disinfected for each future time interval, including:

[0014] For each future time interval, the activity intensity of the user category and the degree of personnel gathering corresponding to the frequency of use for the time interval are input into the pre-constructed pollution risk assessment system for analysis, so as to obtain the human factor pollution risk value for the time interval.

[0015] Obtain disinfection effectiveness data from historical disinfection information, assess the basic hygiene conditions of the place to be disinfected based on the disinfection effectiveness data, and obtain the basic hygiene risk value;

[0016] The external environmental information corresponding to the time interval is obtained, including weather conditions and the distribution of surrounding pollution sources. The external environmental information is then input into a preset external pollution impact assessment system to obtain the external pollution risk value for the time interval.

[0017] For each time interval, the potential contamination risk level of the site to be disinfected is calculated based on the human factor contamination risk value, basic hygiene risk value, and external contamination risk value of the time interval.

[0018] Optionally, for each potential area of ​​concern, based on the historical contamination records of the potential area of ​​concern and the potential contamination risk level of the site to be disinfected within the corresponding time interval of the potential area of ​​concern, it is determined whether the potential area of ​​concern meets the preset enhanced monitoring requirements, including:

[0019] For each potential area of ​​concern, the historical pollution probability of the potential area of ​​concern is assessed based on its historical pollution record, which includes the number of historical pollution occurrences, the severity of historical pollution, and / or the frequency of historical pollution occurrence.

[0020] Determine whether the historical contamination probability of the potential concern area reaches or exceeds the preset contamination probability and whether the potential contamination risk level of the place to be disinfected in the time interval corresponding to the potential concern area reaches or exceeds the preset second risk threshold, wherein the second risk threshold is less than the first risk threshold.

[0021] When it is determined that the historical contamination probability of the potential area of ​​concern reaches or exceeds the preset contamination probability and the potential contamination risk level of the site to be disinfected reaches or exceeds the second risk threshold in the time interval corresponding to the potential area of ​​concern, the potential area of ​​concern is determined to meet the preset enhanced monitoring requirements.

[0022] When it is determined that the historical contamination probability of the potential area of ​​concern is lower than the preset contamination probability, or the potential contamination risk level of the site to be disinfected in the corresponding time interval of the potential area of ​​concern is lower than the second risk threshold, it is determined that the potential area of ​​concern does not meet the preset enhanced monitoring requirements.

[0023] Optionally, for each potential area of ​​concern, based on its historical pollution record, the historical pollution probability of the potential area of ​​concern is assessed, including:

[0024] For each potential area of ​​concern, when the historical pollution record of the potential area of ​​concern includes the number of historical pollution occurrences, the first pollution probability of the potential area of ​​concern is assessed based on the number of historical pollution occurrences of the potential area of ​​concern, and the first pollution probability of the potential area of ​​concern is determined as the historical pollution probability of the potential area of ​​concern.

[0025] When the historical pollution record of the potential area of ​​concern includes the historical pollution severity, the second pollution probability of the potential area of ​​concern is assessed based on the historical pollution severity of the potential area of ​​concern, and the second pollution probability of the potential area of ​​concern is determined as the historical pollution probability of the potential area of ​​concern.

[0026] When the historical pollution record of the potential area of ​​concern includes the number of historical pollution occurrences and the severity of historical pollution, the first pollution probability and the second pollution probability of the potential area of ​​concern are comprehensively processed to obtain the historical pollution probability of the potential area of ​​concern.

[0027] When the historical pollution record of the potential area of ​​concern includes the frequency of historical pollution occurrence, the third pollution probability of the potential area of ​​concern is assessed based on the historical pollution occurrence frequency of the potential area of ​​concern, and is used as the historical pollution probability of the potential area of ​​concern.

[0028] Optionally, the target sensor group includes at least a temperature sensor, a humidity sensor, a germ detection device, and a chemical substance concentration sensor;

[0029] Select a suitable target sensor group from a variety of preset sensor types, including:

[0030] Acquire spatial characteristic data of the area to be disinfected, including the area size, spatial structure and ventilation conditions of the area to be disinfected;

[0031] Based on the spatial characteristics data of the area to be disinfected, a target sensor group that is compatible with the area to be disinfected is selected from a variety of preset sensor types.

[0032] Optionally, a target sensor group suitable for the area to be disinfected is selected from a preset variety of sensor types, including:

[0033] Acquire device performance data for each of the preset types of sensors. The device performance data includes one or more combinations of device detection range, device detection accuracy, and device applicable environment type.

[0034] Calculate the fit between the device performance data of each sensor and the spatial characteristic data of the area to be disinfected;

[0035] Select at least one sensor from all sensors whose fit reaches or exceeds the preset fit as the target sensor group that is adapted to the place to be disinfected.

[0036] Optionally, after identifying key monitoring areas, the following may also be included:

[0037] Based on the real-time environmental feature data of each sensing and monitoring unit and the division results of key monitoring areas, multiple disinfection sub-region feature information is generated using a preset regional division model. Each disinfection sub-region feature information includes the environmental parameters and spatial location identifier of the corresponding disinfection sub-region.

[0038] Based on the feature information of multiple disinfection sub-regions and combined with the preset disinfection strategy database, multiple disinfection strategy parameter sets are generated. Each disinfection strategy parameter set includes disinfection method, disinfection duration and disinfectant usage.

[0039] Determine the execution priority parameters for multiple disinfection strategy parameter sets. The execution priority parameters shall include at least a time urgency coefficient and an importance coefficient. The time urgency coefficient is determined based on the time requirements of the disinfection task, and the importance coefficient is determined based on the importance of the disinfection sub-area.

[0040] Based on the execution priority parameters of the target disinfection strategy parameter set that meets the preset screening conditions from multiple disinfection strategy parameter sets, the disinfection execution plan for the target disinfection area is determined.

[0041] Optionally, based on the execution priority parameters of the target disinfection strategy parameter set that meets preset screening conditions from multiple disinfection strategy parameter sets, a disinfection execution plan for the target disinfection area is determined, including:

[0042] Obtain the target location identifier, which is determined based on the user's input of the disinfection area selection command in response to the front end;

[0043] In ascending order of distance between spatial location markers and target location markers, multiple disinfection strategy parameter sets are sequentially matched with target location markers until a target disinfection strategy parameter set is determined, at which point the matching between the disinfection strategy parameter sets and target location markers ends. If the spatial location marker of the disinfection sub-region corresponding to any disinfection strategy parameter set coincides with the target location marker, then that disinfection strategy parameter set is determined as a target disinfection strategy parameter set that meets the preset screening conditions. The preset screening conditions are that the identifier area of ​​the disinfection sub-region corresponding to the target disinfection strategy parameter set displayed on the front end includes the target location marker.

[0044] If the importance coefficient of the target disinfection strategy parameter set is high, the type of the target disinfection area is determined to be a key disinfection area, and the target disinfection area is the area to be disinfected specified by the user on the front end.

[0045] For key disinfection areas, determine at least one associated strategy parameter set of the target disinfection strategy parameter set;

[0046] Calculate the total disinfection duration and total disinfectant usage corresponding to at least one set of associated strategy parameters;

[0047] The disinfection time for the target disinfection area is determined based on the difference between the disinfection time corresponding to the parameter set of the target disinfection strategy and the total disinfection time.

[0048] Based on the sum of the disinfectant usage amount and the total disinfectant usage amount corresponding to the target disinfection strategy parameter set, the disinfectant usage amount for the target disinfection area is determined.

[0049] Based on the disinfection duration and disinfectant usage of the target disinfection area, a disinfection implementation plan for the target disinfection area is generated.

[0050] Optionally, based on the real-time environmental characteristic data of each sensing and monitoring unit and the division results of key monitoring areas, multiple disinfection sub-region feature information are generated using a preset regional division model, including:

[0051] Determine the preset region division model in the front end;

[0052] The real-time environmental characteristic data of each sensing and monitoring unit are input into the regional division model to obtain multiple preliminary disinfection sub-regions;

[0053] Environmental parameters were extracted from each initially defined disinfection sub-region to obtain the corresponding environmental parameters;

[0054] Generate a unique spatial location identifier for each initially defined disinfection sub-region;

[0055] By combining environmental parameters and spatial location identifiers, multiple disinfection sub-region feature information are generated.

[0056] According to a second aspect of this application, a multi-sensor fusion real-time monitoring disinfection system is provided, comprising:

[0057] Based on the spatial characteristics of the place to be disinfected, a suitable target sensor group is selected from a variety of preset sensor types.

[0058] Based on the layout planning of the area to be disinfected, the deployment location of each target sensor is determined to form a set of deployment locations. The target sensor group is matched with the set of deployment locations to construct multiple sensing and monitoring units. Each sensing and monitoring unit includes a deployment location and a corresponding target sensor.

[0059] The target sensors in each sensing and monitoring unit are deployed to their respective locations, and the monitoring data streams transmitted by each target sensor are received in real time. Based on the monitoring data streams of each target sensor in each sensing and monitoring unit, real-time environmental characteristic data of the area monitored by the sensing and monitoring unit is generated. The current pollution risk level of each area of ​​the place to be disinfected is assessed by combining the real-time environmental characteristic data of each sensing and monitoring unit.

[0060] Obtain historical disinfection information and future usage plan data for the site to be disinfected; calculate the potential contamination risk level of the site to be disinfected in each future time interval based on the historical disinfection information and future usage plan data;

[0061] For each time interval, determine whether the potential contamination risk level of the place to be disinfected exceeds a preset first risk threshold. If it exceeds the first risk threshold, the usage area corresponding to the time interval is identified as a key monitoring area. For potential areas of concern with a potential contamination risk level lower than the first risk threshold, obtain the historical contamination records of each potential area of ​​concern.

[0062] For each potential area of ​​concern, based on the historical pollution records of the potential area of ​​concern and the potential pollution risk level of the site to be disinfected in the corresponding time interval of the potential area of ​​concern, it is determined whether the potential area of ​​concern meets the preset enhanced monitoring requirements. If it does, the potential area of ​​concern is identified as a key monitoring area.

[0063] In summary, this embodiment of the application, through type matching and location matching modules, enables the system to select suitable sensors and determine their deployment locations based on the spatial characteristics of the area to be disinfected, thereby achieving targeted environmental monitoring. This precise monitoring capability makes the generation of real-time environmental characteristic data more reliable, providing a solid data foundation for risk assessment. Moreover, by combining historical disinfection information and future usage arrangement data, in-depth pollution risk assessment can be conducted. This assessment not only considers factors such as the intensity of personnel activity and the degree of gathering, but also integrates external environmental information, thus providing a comprehensive analysis of the potential pollution risk level.

[0064] In this embodiment, by setting up a key monitoring module and an enhanced monitoring module, the system can dynamically adjust the monitoring strategy. When the potential pollution risk of certain areas exceeds a preset threshold, the system will automatically mark them as key monitoring areas, thereby ensuring that high-risk areas receive priority attention and improving disinfection efficiency. Moreover, by generating multiple disinfection sub-area feature information and corresponding disinfection strategy parameter sets, an effective disinfection execution plan can be formed. These plans are prioritized according to factors such as the importance of the area and the pollution risk, which helps to rationally allocate resources and improve the efficiency and effectiveness of disinfection operations.

[0065] Other features and advantages of this application will be described in detail in the following detailed description section. Attached Figure Description

[0066] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0067] Figure 1This is a schematic diagram of a multi-sensor fusion real-time monitoring disinfection system provided in an exemplary embodiment of this application;

[0068] Figure 2 This is a flowchart illustrating the steps of a multi-sensor fusion real-time monitoring disinfection method provided in an exemplary embodiment of this application;

[0069] Explanation of the attached diagram labels: 1. Type matching module; 2. Location matching module; 3. Real-time monitoring module; 4. Risk assessment module; 5. Key monitoring module; 6. Enhanced monitoring module. Detailed Implementation

[0070] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the protection scope of this application.

[0071] This application provides a multi-sensor fusion real-time monitoring and disinfection system. Please refer to [link / reference]. Figure 1 This application provides a multi-sensor fusion real-time monitoring and disinfection system, comprising:

[0072] Type matching module 1 is used to select a suitable target sensor group from a variety of preset sensor types based on the spatial characteristics of the place to be disinfected.

[0073] Location matching module 2 is used to determine the deployment location of each target sensor based on the layout planning of the place to be disinfected, form a set of deployment locations, match the target sensor group with the set of deployment locations, and construct multiple sensing and monitoring units. Each sensing and monitoring unit includes a deployment location and a corresponding target sensor.

[0074] The real-time monitoring module 3 is used to deploy the target sensors in each sensing and monitoring unit to the corresponding deployment locations, receive the monitoring data streams transmitted by each target sensor in real time, generate real-time environmental characteristic data of the area monitored by the sensing and monitoring unit based on the monitoring data streams of each target sensor in each sensing and monitoring unit, and assess the current pollution risk level of each area of ​​the place to be disinfected by combining the real-time environmental characteristic data of each sensing and monitoring unit.

[0075] Risk assessment module 4 is used to obtain historical disinfection information and future usage plan data of the place to be disinfected; based on the historical disinfection information and future usage plan data, it calculates the potential contamination risk level of the place to be disinfected in each future time interval.

[0076] The key monitoring module 5 is used to determine whether the potential pollution risk level of the place to be disinfected exceeds the preset first risk threshold for each time interval. If it exceeds the first risk threshold, the usage area corresponding to the time interval is identified as the key monitoring area. For potential areas of concern with a potential pollution risk level lower than the first risk threshold, the historical pollution records of each potential area of ​​concern are obtained.

[0077] The enhanced monitoring module 6 is used to determine whether each potential area of ​​concern meets the preset enhanced monitoring requirements by combining the historical pollution records of the potential area of ​​concern and the potential pollution risk level of the place to be disinfected in the corresponding time interval of the potential area of ​​concern. If it does, the potential area of ​​concern is identified as a key monitoring area.

[0078] It should be noted that, based on the spatial characteristics of the place to be disinfected (such as area, layout, etc.), a suitable target sensor group should be selected from a variety of sensor types; for example, in a hospital operating room, temperature sensors, humidity sensors and germ detection equipment may be needed to ensure that the environmental conditions are suitable for surgery and to monitor potential sources of contamination.

[0079] Determine the optimal deployment location for each target sensor to form a sensing and monitoring unit; for example, in the operating room of the aforementioned hospital, the temperature sensor can be placed near the air conditioning vent, while the humidity sensor can be placed in the center of the floor to comprehensively monitor the environmental parameters of the entire room.

[0080] Deploy sensors and receive data streams in real time to generate environmental characteristic data of the monitored area; for example, the system receives temperature, humidity and germ concentration data in the operating room in real time and calculates the current environmental characteristics, such as "temperature 24°C, humidity 50%, germ concentration below the threshold";

[0081] Based on historical disinfection information and future usage arrangements, the system assesses the potential level of contamination risk. For example, if the operating room has performed multiple surgeries in the past week and there are a large number of cases, the system will assess the contamination risk level for that period as high.

[0082] The importance of the monitoring area is determined based on the potential pollution risk, and areas that need to be monitored in a key manner are identified. For example, if the system assesses that the pollution risk level during the upcoming surgery period exceeds a preset threshold, then the operating room will be marked as a key monitoring area.

[0083] Enhanced monitoring and assessment of each potential area of ​​concern; for example, if the operating room has experienced several serious infection events in the past, the system will assess it as an area requiring special attention and increase the frequency of monitoring.

[0084] The system generates a set of disinfection strategy parameters based on monitoring data. For example, if the operating room is confirmed to require disinfection, the system may recommend high-intensity ultraviolet disinfection for 30 minutes, using a specific dose of disinfectant.

[0085] The system determines the target disinfection area and plan based on priority; for example, if the disinfection strategy for the operating room is assessed as "high importance", then the system will prioritize disinfection of that area.

[0086] The system generates environmental parameters and spatial location identifiers for disinfection sub-areas based on real-time data. For example, in an operating room, the system can generate feature information for multiple disinfection sub-areas, recording the temperature, humidity, and spatial location of each area to ensure that disinfection measures cover all critical areas.

[0087] In some embodiments, historical disinfection information includes disinfection time points, disinfection methods and disinfection effectiveness, while future usage arrangement data includes usage time intervals, user categories and usage frequency;

[0088] Based on historical disinfection information and future usage plan data, calculate the potential contamination risk level of the site to be disinfected for each future time interval, including:

[0089] For each future time interval, the activity intensity of personnel of the user category corresponding to the time interval and the degree of personnel gathering corresponding to the frequency of use are input into the pre-constructed pollution risk assessment system for analysis, so as to obtain the pollution risk value of personnel factors for the time interval;

[0090] Obtain disinfection effectiveness data from historical disinfection information, assess the basic hygiene conditions of the place to be disinfected based on the disinfection effectiveness data, and obtain the basic hygiene risk value;

[0091] Obtain external environmental information corresponding to the time interval, including weather conditions and the distribution of surrounding pollution sources. Input the external environmental information into the preset external pollution impact assessment system to obtain the external pollution risk value for the time interval.

[0092] For each time interval, the potential contamination risk level of the site to be disinfected is calculated based on the human factor contamination risk value, basic hygiene risk value, and external contamination risk value within that time interval.

[0093] It should be noted that historical disinfection information includes the disinfection timeline, methods, and effectiveness. For example, in a school classroom, disinfection was carried out three times in the past week: First disinfection: December 1st, using ultraviolet lamps, with good results (90% reduction in bacteria detected); Second disinfection: December 3rd, using chemical disinfectants, with moderate results (70% reduction in bacteria); Third disinfection: December 5th, using air purifiers, with good results (85% reduction in bacteria). Future usage plan data includes the usage time range, user categories, and frequency. For example, the classroom is planned to be used daily for the next two weeks, with the following student numbers and activities: December 10th to December 14th, 8:00-17:00 daily, 30 students, once daily; December 15th to December 21st, 8:00-17:00 daily, with the number of students increasing to 50, while the frequency remains unchanged.

[0094] For each future time interval, the pre-built pollution risk assessment system is input based on the activity intensity (e.g., high, medium, low) and the degree of personnel gathering (e.g., frequent, occasional, sparse) of the user categories. For example, from December 10th to December 14th, 30 students are active in the classroom, which is considered a medium-intensity and frequent gathering, so the personnel factor pollution risk value for this period is medium (assumed value 5); from December 15th to December 21st, 50 students are active in the classroom, which is considered a high-intensity and frequent gathering, so the personnel factor pollution risk value for this period is high (assumed value 8).

[0095] The basic hygiene status is assessed based on the disinfection effectiveness data in historical disinfection information; for example, in the historical disinfection effectiveness of the classroom, the last disinfection (December 5) showed an 85% reduction in bacteria, therefore, the basic hygiene risk value is assessed as moderate (assumed value of 6).

[0096] Obtain external environmental information corresponding to the time interval, including weather conditions and the distribution of surrounding pollution sources, and input it into the external pollution impact assessment system; for example: from December 10 to December 14, the weather is sunny and there are no obvious pollution sources in the surrounding area, so the external pollution risk value is low (assumed value is 2); from December 15 to December 21, haze is predicted, and emissions from surrounding factories will increase, so the external pollution risk value is assessed as moderate (assumed value is 5).

[0097] Based on the human factor pollution risk value, basic health risk value and external pollution risk value for each time interval, a comprehensive calculation is performed to obtain the potential pollution risk level; for example: from December 10 to December 14: human factor pollution risk value (5) + basic health risk value (6) + external pollution risk value (2) = 13, which is assessed as medium risk; from December 15 to December 21: human factor pollution risk value (8) + basic health risk value (6) + external pollution risk value (5) = 19, which is assessed as high risk.

[0098] In some embodiments, for each potential area of ​​concern, based on the historical contamination records of the potential area of ​​concern and the potential contamination risk level of the site to be disinfected within the corresponding time interval of the potential area of ​​concern, it is determined whether the potential area of ​​concern meets the preset enhanced monitoring requirements, including:

[0099] For each potential area of ​​concern, the historical pollution probability of the potential area of ​​concern is assessed based on its historical pollution record, which includes the number of historical pollution occurrences, the severity of historical pollution, and / or the frequency of historical pollution occurrence.

[0100] Determine whether the historical contamination probability of the potential concern area reaches or exceeds the preset contamination probability and whether the potential contamination risk level of the place to be disinfected in the corresponding time interval of the potential concern area reaches or exceeds the preset second risk threshold, where the second risk threshold is less than the first risk threshold.

[0101] When it is determined that the historical contamination probability of a potential area of ​​concern reaches or exceeds the preset contamination probability and the potential contamination risk level of the site to be disinfected in the corresponding time interval of the potential area of ​​concern reaches or exceeds the second risk threshold, the potential area of ​​concern is determined to meet the preset enhanced monitoring requirements.

[0102] When it is determined that the historical contamination probability of a potential area of ​​concern is lower than the preset contamination probability, or the potential contamination risk level of the site to be disinfected in the corresponding time interval of the potential area of ​​concern is lower than the second risk threshold, it is determined that the potential area of ​​concern does not meet the preset enhanced monitoring requirements.

[0103] It should be noted that historical pollution records include the number of times, severity, and frequency of historical pollution occurrences. The formula for calculating the probability of historical pollution can be: Historical pollution probability = Number of historical pollution occurrences / Total number of observation periods. A preset pollution probability (e.g., 0.2, or 20%) and two risk thresholds are set: a first risk threshold (e.g., 8) and a second risk threshold (e.g., 5), where the second risk threshold is less than the first risk threshold. Assuming that the potential pollution risk level of the site to be disinfected is 6 within a specific time interval, it is necessary to determine whether this potential pollution risk level reaches or exceeds the second risk threshold.

[0104] If the historical contamination probability reaches or exceeds the preset contamination probability, and the potential contamination risk level of the place to be disinfected reaches or exceeds the second risk threshold, then the enhanced monitoring requirements are met; the above conditions are analyzed as follows: historical contamination probability: 0.25 (25%), which meets the preset contamination probability (0.2); potential contamination risk level: 6, which meets the second risk threshold (5).

[0105] Based on the above analysis results, it is confirmed that the potential area of ​​concern meets the preset enhanced monitoring requirements. Specific example: Assume there is an office as a potential area of ​​concern. The following are the specific data: Historical pollution records: Number of historical pollution occurrences: 3 times; Total observation period: 12 months; Calculation: Historical pollution probability = 3 / 12 = 0.25 (25%), which meets the preset pollution probability (0.2); Potential pollution risk level of the place to be disinfected: Potential pollution risk level of the current time interval: 6, which meets the second risk threshold (5); Judgment: Historical pollution probability ≥ preset pollution probability: Yes; Potential pollution risk level ≥ second risk threshold: Yes; Therefore, the office meets the preset enhanced monitoring requirements.

[0106] Other examples: Cases where the requirements are not met: Suppose that the same office has only experienced one pollution event in the past 6 months (historical pollution occurrences = 1), and the total observation period is still 12 months; the historical pollution probability = 1 / 12 = 0.083 (8.3%), which does not meet the preset pollution probability (0.2); the potential pollution risk level is still 6, which meets the second risk threshold (5); In this case, although the potential pollution risk level is met, the potential area of ​​concern does not meet the preset enhanced monitoring requirements because the historical pollution probability is not met.

[0107] In some embodiments, for each potential area of ​​concern, the historical contamination probability of the potential area of ​​concern is assessed based on its historical contamination record, including:

[0108] For each potential area of ​​concern, when the historical pollution record of the potential area of ​​concern includes the number of historical pollution occurrences, the first pollution probability of the potential area of ​​concern is assessed based on the number of historical pollution occurrences of the potential area of ​​concern, and the first pollution probability of the potential area of ​​concern is determined as the historical pollution probability of the potential area of ​​concern.

[0109] When the historical pollution record of a potential area of ​​concern includes the severity of historical pollution, the probability of secondary pollution of the potential area of ​​concern is assessed based on the severity of historical pollution of the potential area of ​​concern, and the probability of secondary pollution of the potential area of ​​concern is determined as the historical pollution probability of the potential area of ​​concern.

[0110] When the historical pollution record of a potential area of ​​concern includes the number of historical pollution occurrences and the severity of historical pollution, the first pollution probability and the second pollution probability of the potential area of ​​concern are combined to obtain the historical pollution probability of the potential area of ​​concern.

[0111] When the historical pollution record of a potential area of ​​concern includes the frequency of historical pollution occurrences, the third pollution probability of the potential area of ​​concern is assessed based on the frequency of historical pollution occurrences, and this is used as the historical pollution probability of the potential area of ​​concern.

[0112] In some embodiments, the target sensor group includes at least a temperature sensor, a humidity sensor, a pathogen detection device, and a chemical concentration sensor;

[0113] Select a suitable target sensor group from a variety of preset sensor types, including:

[0114] Acquire spatial characteristic data of the area to be disinfected, including the area size, spatial structure and ventilation conditions of the area to be disinfected;

[0115] Based on the spatial characteristics data of the area to be disinfected, a target sensor group that is compatible with the area to be disinfected is selected from a variety of preset sensor types.

[0116] It should be noted that the target sensor group should include at least the following types of sensors: temperature sensor: used to monitor the temperature of the area to be disinfected to ensure that the temperature requirements are met during the disinfection process; humidity sensor: humidity levels affect the effectiveness of disinfectants, so humidity needs to be monitored; germ detection device: used to monitor the concentration of germs in the air or on surfaces in real time to evaluate the disinfection effect; chemical substance concentration sensor: monitors the concentration of chemical substances released during the disinfection process to ensure that they are within a safe range.

[0117] Obtain spatial characteristic data of the area to be disinfected: Area size: For example, a classroom to be disinfected has an area of ​​50 square meters; Spatial structure: The classroom has a rectangular layout with windows and doors, and good air circulation; Ventilation: The classroom has two windows, allowing for natural ventilation, but no mechanical ventilation system; Select suitable target sensor groups based on spatial characteristic data: Based on the above spatial characteristic data, select appropriate sensor groups; For example: Temperature sensor: A high-precision temperature sensor is needed to monitor the temperature in the classroom to ensure the effectiveness of the disinfectant; Humidity sensor: Select a humidity sensor that can operate within a humidity range of 30% to 70% to adapt to the natural humidity changes in the classroom; Germ detection equipment: Considering the usage of the classroom, select a highly sensitive germ detection device that can quickly report changes in germ concentration; Chemical substance concentration sensor: Select a sensor that can monitor the concentration of commonly used disinfectants (such as chlorine, alcohol, etc.) to ensure that no harmful concentrations are generated during the disinfection process;

[0118] Specific Example: Suppose there is a school classroom to be disinfected, with the following main characteristics: Area: 50 square meters; Structure: Rectangular, with two windows and one door; Ventilation: Good, natural ventilation; Sensor Selection: Based on the above characteristics, select a suitable sensor group: Temperature Sensor: Select model "XYZ-Temperature-100", measurement range -10℃ to 50℃, accuracy ±0.5℃, suitable for temperature monitoring in the classroom; Humidity Sensor: Select model "ABC-Humidity-50", measurement range 0% to 100%RH (relative humidity), accuracy ±3%, suitable for monitoring humidity changes in the classroom; Germ Detection Device: Select model "GermSensor-A1", capable of detecting the concentration of germs in the air, range 0-1000 CFU / m³, fast response time, suitable for the school environment; Chemical Concentration Sensor: Select model "ChemMonitor-B2", capable of monitoring the concentration of chemicals such as chlorine and alcohol, range 0-10 ppm, suitable for use in the disinfection process;

[0119] Comprehensive application: In actual operation: Before disinfection, temperature and humidity sensors are used to ensure that the indoor environment is suitable for disinfection; during the disinfection process, the concentration of pathogens is continuously monitored to evaluate the disinfection effect; at the same time, the concentration of disinfectant is monitored through chemical substance concentration sensors to ensure that it will not cause harm to the health of teachers and students.

[0120] In some embodiments, based on spatial characteristic data of the area to be disinfected, a target sensor group adapted to the area to be disinfected is selected from a preset set of various types of sensors, including:

[0121] Acquire device performance data for each of the preset types of sensors. The device performance data includes one or more combinations of device detection range, device detection accuracy, and device applicable environment type.

[0122] Calculate the fit between the device performance data of each sensor and the spatial characteristic data of the area to be disinfected;

[0123] Select at least one sensor from all sensors whose fit reaches or exceeds the preset fit as the target sensor group that is adapted to the place to be disinfected.

[0124] It should be noted that the performance data for each sensor includes: Device detection range: refers to the physical range (such as area or volume) that the sensor can effectively monitor; Device detection accuracy: refers to the accuracy of the sensor's measurement results, usually expressed as an error range; Device applicable environment type: refers to the environmental conditions under which the sensor can work normally (such as temperature, humidity, whether it is waterproof, etc.).

[0125] The performance data of each sensor is compared with the spatial characteristic data of the area to be disinfected to assess the degree of fit between them. The degree of fit can be calculated based on a variety of factors, such as whether the detection range of the equipment covers the area to be disinfected and whether the detection accuracy meets the requirements.

[0126] Select sensors from all sensors whose adaptation meets or exceeds the preset standard as the target sensor group, which can be used for monitoring the area to be disinfected;

[0127] Specific example: Suppose disinfection is needed in a hospital emergency room, and you want to monitor air quality and environmental parameters in real time using sensors; the following are the detailed steps and examples:

[0128] Assume the following sensors are available: Sensor A: Detection range: 50 square meters; Detection accuracy: ±5%; Applicable environment: Temperature 0-40℃, Humidity 20%-80%; Sensor B: Detection range: 30 square meters; Detection accuracy: ±3%; Applicable environment: Temperature 10-35℃, Humidity 30%-70%; Sensor C: Detection range: 60 square meters; Detection accuracy: ±4%; Applicable environment: Temperature -10-50℃, Humidity 10%-90%.

[0129] Emergency room characteristics: Area: 40 square meters; Current temperature: 22℃; Current humidity: 50%;

[0130] Fit Assessment: Sensor A: Detection range (50 square meters) > Emergency room area (40 square meters) → Fit; Detection accuracy (±5%) meets requirements → Fit; Applicable environment (22℃, 50% humidity) meets requirements → Fit; Fit: 100%; Sensor B: Detection range (30 square meters) < Emergency room area (40 square meters) → Not Fit; Even if other conditions are met, it is rejected due to insufficient range; Fit: 0%; Sensor C: Detection range (60 square meters) > Emergency room area (40 square meters) → Fit; Detection accuracy (±4%) meets requirements → Fit; Applicable environment (22℃, 50% humidity) meets requirements → Fit; Fit: 100%; In the above assessment, the fit of Sensor A and Sensor C both meet or exceed the preset fit standard (e.g., 85%); Therefore, they will be selected as the target sensor group for environmental monitoring in the emergency room.

[0131] In some embodiments, after determining the key monitoring areas, the method further includes:

[0132] Based on the real-time environmental feature data of each sensing and monitoring unit and the division results of key monitoring areas, multiple disinfection sub-region feature information is generated using a preset regional division model. Each disinfection sub-region feature information includes the environmental parameters and spatial location identifier of the corresponding disinfection sub-region.

[0133] Based on the feature information of multiple disinfection sub-regions and combined with the preset disinfection strategy database, multiple disinfection strategy parameter sets are generated. Each disinfection strategy parameter set includes disinfection method, disinfection duration and disinfectant usage.

[0134] Determine the execution priority parameters for multiple disinfection strategy parameter sets. The execution priority parameters shall include at least a time urgency coefficient and an importance coefficient. The time urgency coefficient is determined based on the time requirements of the disinfection task, and the importance coefficient is determined based on the importance of the disinfection sub-area.

[0135] Based on the execution priority parameters of the target disinfection strategy parameter set that meets the preset screening conditions from multiple disinfection strategy parameter sets, the disinfection execution plan for the target disinfection area is determined.

[0136] It should be noted that, based on environmental monitoring data, areas requiring priority disinfection are identified, such as an emergency room, ward, or classroom in a hospital. Using real-time environmental characteristic data (such as temperature, humidity, and germ concentration) and the results of the key monitoring area division, a preset area division model is used to subdivide the key areas into several disinfection sub-areas. The characteristic information of each disinfection sub-area includes environmental parameters (such as air quality, temperature, and humidity) and spatial location identifiers (such as "Classroom A-1").

[0137] Based on the characteristic information of the disinfection sub-regions and combined with a pre-set disinfection strategy database (such as the usage methods and durations of different disinfectants), a disinfection strategy is formulated for each disinfection sub-region. The set of disinfection strategy parameters may include: disinfection method: such as spray disinfection, wiping disinfection, or ultraviolet disinfection; disinfection duration: such as 30 minutes or 1 hour; disinfectant usage: such as 100 ml of disinfectant per square meter; determine the execution priority parameters for multiple disinfection strategy parameter sets: the execution priority parameters should include at least: time urgency coefficient: determined according to the time requirements of the disinfection task, such as a higher time urgency coefficient if disinfection needs to be completed before a high-flow period; importance coefficient: assessed according to the importance of the disinfection sub-region, such as the importance of disinfection in the intensive care unit being higher than that in general wards; determine the disinfection execution plan for the target disinfection area: based on the target disinfection strategy parameter set that meets the pre-set screening conditions and combined with the execution priority parameters, formulate the final disinfection execution plan to ensure optimal resource allocation and maximum disinfection effect;

[0138] Specific Example: Suppose a large hospital requires disinfection management. The following are the specific implementation steps and examples: Key Areas: The hospital's emergency room, wards, and operating rooms; The emergency room is divided into three disinfection sub-areas: Sub-area A (Reception Area): 20 square meters; Sub-area B (Treatment Room): 15 square meters; Sub-area C (Observation Area): 10 square meters; Corresponding environmental parameters are as follows: Sub-area A: Temperature 22℃, Humidity 45%, Bacterial concentration 500 CFU / m³; Sub-area B: Temperature 21℃, Humidity 50%, Bacterial concentration 800 CFU / m³; Sub-area C: Temperature 23℃, Humidity 40%, Bacterial concentration 300 CFU / m³;

[0139] For each sub-area, the following parameter set is generated based on the preset disinfection strategy database: Sub-area A: Disinfection method: Spray disinfection; Disinfection duration: 30 minutes; Disinfectant usage: 200 ml; Sub-area B: Disinfection method: Wipe disinfection; Disinfection duration: 45 minutes; Disinfectant usage: 150 ml; Sub-area C: Disinfection method: Ultraviolet disinfection; Disinfection duration: 1 hour; Disinfectant usage: None (not applicable);

[0140] Assume the time urgency coefficient and importance coefficient are as follows: Sub-region A: Time urgency coefficient 3, importance coefficient 2 (high); Sub-region B: Time urgency coefficient 2, importance coefficient 3 (very high); Sub-region C: Time urgency coefficient 1, importance coefficient 1 (low).

[0141] Based on the priority assessment, the final implementation plan is as follows: First priority: Disinfect sub-area B (treatment room), due to its highest importance and time urgency, immediately deploy wipe disinfection; Second priority: Disinfect sub-area A (reception area), followed by spray disinfection; Third priority: Disinfect sub-area C (observation area), finally perform ultraviolet disinfection.

[0142] In some embodiments, a disinfection execution plan for a target disinfection area is determined based on the execution priority parameter of a target disinfection strategy parameter set that meets preset screening conditions from multiple disinfection strategy parameter sets, including:

[0143] Obtain the target location identifier, which is determined based on the user's input of the disinfection area selection command in response to the front end;

[0144] In ascending order of distance between spatial location markers and target location markers, multiple disinfection strategy parameter sets are matched with target location markers until a target disinfection strategy parameter set is determined, at which point the matching process ends. If the spatial location marker of the disinfection sub-area corresponding to any disinfection strategy parameter set coincides with the target location marker, that disinfection strategy parameter set is determined as a target disinfection strategy parameter set that meets the preset screening criteria. The preset screening criteria are that the marker area of ​​the disinfection sub-area corresponding to the target disinfection strategy parameter set displayed on the front end includes the target location marker.

[0145] If the importance coefficient of the target disinfection strategy parameter set is high, the type of the target disinfection area is determined to be a key disinfection area, and the target disinfection area is the area to be disinfected specified by the user on the front end.

[0146] For key disinfection areas, determine at least one associated strategy parameter set of the target disinfection strategy parameter set;

[0147] Calculate the total disinfection duration and total disinfectant usage corresponding to at least one set of associated strategy parameters;

[0148] The disinfection time for the target disinfection area is determined based on the difference between the disinfection time corresponding to the parameter set of the target disinfection strategy and the total disinfection time.

[0149] Based on the sum of the disinfectant usage amount and the total disinfectant usage amount corresponding to the target disinfection strategy parameter set, the disinfectant usage amount for the target disinfection area is determined.

[0150] Based on the disinfection duration and disinfectant usage of the target disinfection area, a disinfection implementation plan for the target disinfection area is generated.

[0151] It should be noted that users select the area to be disinfected through system input, and the system generates corresponding target location markers based on the input;

[0152] Based on spatial location identifiers, multiple disinfection strategy parameter sets are matched with target location identifiers by distance, prioritizing strategies that are closer, until a suitable target disinfection strategy parameter set is found;

[0153] If a sub-region of the disinfection strategy parameter set coincides with the target location identifier, then the set is determined to be a qualified target disinfection strategy parameter set.

[0154] If the importance coefficient of the target disinfection strategy parameter set is high, the area is considered a key disinfection area;

[0155] Select at least one set of associated strategy parameters for key disinfection areas;

[0156] The total disinfection duration and total disinfectant usage are statistically correlated with the set of strategy parameters.

[0157] The disinfection duration and disinfectant usage based on the target disinfection strategy parameter set are compared with the sum of the associated sets to determine the final value; the above data are combined to form a complete disinfection execution plan.

[0158] Specific example: Suppose disinfection is being carried out in a school classroom. Here are the detailed steps and examples:

[0159] Users select "Classroom 101" as the area to be disinfected through the front-end interface; at this time, the system generates a target location identifier, such as "Classroom 101";

[0160] Assume the system has the following sets of disinfection strategy parameters (each set corresponds to different disinfection methods, durations, and disinfectants used): Strategy Set 1: Disinfection sub-area: Classroom 101; Disinfection duration: 30 minutes; Disinfectant usage: 500 ml; Importance coefficient: High; Strategy Set 2: Disinfection sub-area: Classroom 102; Disinfection duration: 20 minutes; Disinfectant usage: 300 ml; Importance coefficient: Medium; Strategy Set 3: Disinfection sub-area: Classroom 101 (another part); Disinfection duration: 15 minutes; Disinfectant usage: 200 ml; Importance coefficient: Low; Through spatial location identifier matching, strategy set 1 and strategy... The disinfection sub-area of ​​strategy set 3 coincides with the target location marker "Classroom 101"; the importance coefficient of strategy set 1 is high, therefore classroom 101 is determined as the key disinfection area; strategy set 1 is selected as the main disinfection strategy, while strategy set 3 is also considered; the disinfection time of strategy set 1 is 30 minutes, and the disinfectant usage is 500 ml; the disinfection time of strategy set 3 is 15 minutes, and the disinfectant usage is 200 ml; the total disinfection time = 30 minutes (strategy set 1) + 15 minutes (strategy set 3) = 45 minutes; the total disinfectant usage = 500 ml (strategy set 1) + 200 ml (strategy set 3) = 700 ml;

[0161] The final disinfection time was the disinfection time of Strategy Set 1 (30 minutes), which was compared with the total (45 minutes), and it was finally confirmed that 30 minutes would be used for disinfection; the final disinfectant usage was the disinfectant usage of Strategy Set 1 (500 ml), which was compared with the total (700 ml), and it was finally confirmed that 500 ml would be used.

[0162] The final disinfection implementation plan is as follows: Disinfection area: Classroom 101; Disinfection duration: 30 minutes; Disinfectant usage: 500 ml; Disinfection strategy: Use the specified disinfectant and follow the preset disinfection steps.

[0163] In some embodiments, based on the real-time environmental feature data of each sensing and monitoring unit and the division results of key monitoring areas, multiple disinfection sub-region feature information are generated using a preset region division model, including:

[0164] Determine the preset region division model in the front end;

[0165] The real-time environmental characteristic data of each sensing and monitoring unit are input into the regional division model to obtain multiple preliminary disinfection sub-regions;

[0166] Environmental parameters were extracted from each initially defined disinfection sub-region to obtain the corresponding environmental parameters;

[0167] Generate a unique spatial location identifier for each initially defined disinfection sub-region;

[0168] By combining environmental parameters and spatial location identifiers, multiple disinfection sub-region feature information are generated.

[0169] It should be noted that the area division model used is explicitly defined, which may involve predefined algorithms or rules for subdividing the monitoring area into multiple disinfection sub-regions;

[0170] Real-time environmental characteristic data from various sensing and monitoring units, such as temperature, humidity, and air quality, are input into the regional division model to generate multiple initially divided disinfection sub-regions.

[0171] Environmental parameters were extracted from each initially defined disinfection sub-region to obtain their specific environmental characteristics (such as temperature and humidity), which is crucial for the formulation of subsequent disinfection strategies.

[0172] Generate a unique spatial location identifier for each initially divided disinfection sub-region, which can be a label such as "Region A1" or "Region B2" to clearly identify each disinfection sub-region in the system;

[0173] The extracted environmental parameters and corresponding spatial location identifiers are combined to form the final feature information of multiple disinfection sub-regions for subsequent disinfection decisions and execution.

[0174] Specific example: Suppose disinfection management is carried out in an office building. The following are the detailed steps and specific examples:

[0175] Using an area and function-based zoning model, the entire office building is pre-divided into several sub-zones, such as: open offices, meeting rooms, corridors, restrooms, etc.

[0176] The real-time data collected by each sensing and monitoring unit (such as temperature and humidity sensors and air quality sensors) is as follows: Open office: Temperature: 24°C; Humidity: 40%; PM2.5: 30µg / m³; Meeting room: Temperature: 22°C; Humidity: 45%; PM2.5: 15µg / m³; Corridor: Temperature: 23°C; Humidity: 50%; PM2.5: 20µg / m³; Restroom: Temperature: 25°C; Humidity: 60%; PM2.5: 10µg / m³. This data is input into the area division model to generate preliminary disinfection sub-areas.

[0177] Based on the regional division model, environmental parameters were extracted for each initially divided disinfection sub-region, yielding the following results: Open office: temperature 24°C, humidity 40%, PM2.5: 30µg / m³; Meeting room: temperature 22°C, humidity 45%, PM2.5: 15µg / m³; Corridor: temperature 23°C, humidity 50%, PM2.5: 20µg / m³; Restroom: temperature 25°C, humidity 60%, PM2.5: 10µg / m³.

[0178] A unique spatial location identifier is generated for each disinfection sub-zone: Open office - identified as "Area A"; Meeting room - identified as "Area B"; Corridor - identified as "Area C"; Restroom - identified as "Area D";

[0179] By combining environmental parameters and spatial location identifiers, the final disinfection sub-area characteristic information is formed: Area A (Open Office): Environmental parameters: {Temperature: 24°C, Humidity: 40%, PM2.5: 30µg / m³}; Area B (Meeting Room): Environmental parameters: {Temperature: 22°C, Humidity: 45%, PM2.5: 15µg / m³}; Area C (Corridor): Environmental parameters: {Temperature: 23°C, Humidity: 50%, PM2.5: 20µg / m³}; Area D (Restaurant): Environmental parameters: {Temperature: 25°C, Humidity: 60%, PM2.5: 10µg / m³}.

[0180] Reference Figure 2The second embodiment of the present invention provides a multi-sensor fusion real-time monitoring and disinfection method, including:

[0181] S1. Based on the spatial characteristics of the place to be disinfected, select the appropriate target sensor group from a variety of preset sensor types.

[0182] S2. Based on the layout planning of the place to be disinfected, determine the deployment location for each target sensor to form a set of deployment locations. Match the target sensor group with the set of deployment locations to build multiple sensing and monitoring units. Each sensing and monitoring unit includes a deployment location and a corresponding target sensor.

[0183] S3. Deploy the target sensors in each sensing and monitoring unit to their respective deployment locations, receive the monitoring data streams transmitted back by each target sensor in real time, and generate real-time environmental characteristic data of the area monitored by the sensing and monitoring unit based on the monitoring data streams of each target sensor in each sensing and monitoring unit; and assess the current level of pollution risk in each area of ​​the place to be disinfected by combining the real-time environmental characteristic data of each sensing and monitoring unit.

[0184] S4. Obtain historical disinfection information and future usage plan data for the area to be disinfected; calculate the potential contamination risk level of the area to be disinfected for each future time interval based on the historical disinfection information and future usage plan data.

[0185] S5. For each time interval, determine whether the potential contamination risk level of the place to be disinfected exceeds the preset first risk threshold. If it exceeds the first risk threshold, the usage area corresponding to the time interval is identified as a key monitoring area. For potential areas of concern with a potential contamination risk level lower than the first risk threshold, obtain the historical contamination records of each potential area of ​​concern.

[0186] S6. For each potential area of ​​concern, based on the historical pollution records of the potential area of ​​concern and the potential pollution risk level of the place to be disinfected in the corresponding time interval of the potential area of ​​concern, determine whether the potential area of ​​concern meets the preset enhanced monitoring requirements. If it does, the potential area of ​​concern will be identified as a key monitoring area.

[0187] It should be noted that the multi-sensor fusion real-time monitoring and disinfection method provided in this embodiment of the invention is used to implement all modules of the multi-sensor fusion real-time monitoring and disinfection system in the above embodiment. The working principles and beneficial effects of the two are one-to-one, so they will not be described in detail here.

[0188] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0189] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0190] The embodiments, implementation methods, and related technical features of this application can be combined and substituted for each other without conflict.

[0191] The above are merely preferred embodiments of this application and are not intended to limit this application in any way. Any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of this application without departing from the scope of the technical solution of this application shall still fall within the scope of the technical solution of this application.

Claims

1. A multi-sensor fusion real-time monitoring and disinfection system, characterized in that, include: The type matching module is used to select a suitable target sensor group from a variety of preset sensor types based on the spatial characteristics of the place to be disinfected. The location matching module is used to determine the deployment location of each target sensor based on the layout planning of the place to be disinfected, forming a set of deployment locations. The target sensor group is matched with the set of deployment locations to construct multiple sensing and monitoring units. Each sensing and monitoring unit includes a deployment location and a corresponding target sensor. The real-time monitoring module is used to deploy the target sensors in each sensing and monitoring unit to the corresponding deployment locations, receive the monitoring data streams transmitted back by each target sensor in real time, and generate real-time environmental feature data of the area monitored by the sensing and monitoring unit based on the monitoring data streams of each target sensor in each sensing and monitoring unit. By integrating real-time environmental characteristic data from various sensing and monitoring units, the current level of contamination risk in each area of ​​the site to be disinfected is assessed. The risk assessment module is used to obtain historical disinfection information and future usage plan data for the site to be disinfected; based on the historical disinfection information and future usage plan data, it calculates the potential contamination risk level of the site to be disinfected in each future time interval. The key monitoring module is used to determine whether the potential pollution risk level of the place to be disinfected exceeds a preset first risk threshold for each time interval. If it exceeds the first risk threshold, the usage area corresponding to the time interval is identified as a key monitoring area. For potential areas of concern with a potential pollution risk level below the first risk threshold, obtain the historical pollution records for each potential area of ​​concern. The enhanced monitoring module is used to determine whether each potential area of ​​concern meets the preset enhanced monitoring requirements by combining the historical pollution records of the potential area of ​​concern and the potential pollution risk level of the site to be disinfected in the corresponding time interval of the potential area of ​​concern. If it does, the potential area of ​​concern is identified as a key monitoring area.

2. The system according to claim 1, characterized in that, The historical disinfection information includes disinfection time points, disinfection methods, and disinfection effectiveness, while the future usage arrangement data includes usage time intervals, user categories, and usage frequency. Based on historical disinfection information and future usage plan data, calculate the potential contamination risk level of the site to be disinfected for each future time interval, including: For each future time interval, the activity intensity of the user category and the degree of personnel gathering corresponding to the frequency of use for the time interval are input into the pre-constructed pollution risk assessment system for analysis, so as to obtain the human factor pollution risk value for the time interval. Obtain disinfection effectiveness data from historical disinfection information, assess the basic hygiene conditions of the place to be disinfected based on the disinfection effectiveness data, and obtain the basic hygiene risk value; The external environmental information corresponding to the time interval is obtained, including weather conditions and the distribution of surrounding pollution sources. The external environmental information is then input into a preset external pollution impact assessment system to obtain the external pollution risk value for the time interval. For each time interval, the potential contamination risk level of the site to be disinfected is calculated based on the human factor contamination risk value, basic hygiene risk value, and external contamination risk value of the time interval.

3. The system according to claim 2, characterized in that, For each potential area of ​​concern, based on its historical contamination records and the potential contamination risk level of the site to be disinfected within the corresponding time interval of the potential area of ​​concern, it is determined whether the potential area of ​​concern meets the preset enhanced monitoring requirements, including: For each potential area of ​​concern, the historical pollution probability of the potential area of ​​concern is assessed based on its historical pollution record, which includes the number of historical pollution occurrences, the severity of historical pollution, and / or the frequency of historical pollution occurrence. Determine whether the historical contamination probability of the potential concern area reaches or exceeds the preset contamination probability and whether the potential contamination risk level of the place to be disinfected in the time interval corresponding to the potential concern area reaches or exceeds the preset second risk threshold, wherein the second risk threshold is less than the first risk threshold. When it is determined that the historical contamination probability of the potential area of ​​concern reaches or exceeds the preset contamination probability and the potential contamination risk level of the site to be disinfected reaches or exceeds the second risk threshold in the time interval corresponding to the potential area of ​​concern, the potential area of ​​concern is determined to meet the preset enhanced monitoring requirements. When it is determined that the historical contamination probability of the potential area of ​​concern is lower than the preset contamination probability, or the potential contamination risk level of the site to be disinfected in the corresponding time interval of the potential area of ​​concern is lower than the second risk threshold, it is determined that the potential area of ​​concern does not meet the preset enhanced monitoring requirements.

4. The system according to claim 3, characterized in that, For each potential area of ​​concern, based on its historical pollution record, assess the historical pollution probability of the potential area of ​​concern, including: For each potential area of ​​concern, when the historical pollution record of the potential area of ​​concern includes the number of historical pollution occurrences, the first pollution probability of the potential area of ​​concern is assessed based on the number of historical pollution occurrences of the potential area of ​​concern, and the first pollution probability of the potential area of ​​concern is determined as the historical pollution probability of the potential area of ​​concern. When the historical pollution record of the potential area of ​​concern includes the historical pollution severity, the second pollution probability of the potential area of ​​concern is assessed based on the historical pollution severity of the potential area of ​​concern, and the second pollution probability of the potential area of ​​concern is determined as the historical pollution probability of the potential area of ​​concern. When the historical pollution record of the potential area of ​​concern includes the number of historical pollution occurrences and the severity of historical pollution, the first pollution probability and the second pollution probability of the potential area of ​​concern are comprehensively processed to obtain the historical pollution probability of the potential area of ​​concern. When the historical pollution record of the potential area of ​​concern includes the frequency of historical pollution occurrence, the third pollution probability of the potential area of ​​concern is assessed based on the historical pollution occurrence frequency of the potential area of ​​concern, and is used as the historical pollution probability of the potential area of ​​concern.

5. The system according to claim 4, characterized in that, Based on the spatial characteristics of the area to be disinfected, the target sensor group includes at least a temperature sensor, a humidity sensor, a germ detection device, and a chemical concentration sensor. Select a suitable target sensor group from a variety of preset sensor types, including: Acquire spatial characteristic data of the area to be disinfected, including the area size, spatial structure and ventilation conditions of the area to be disinfected; Based on the spatial characteristics data of the area to be disinfected, a target sensor group that is compatible with the area to be disinfected is selected from a variety of preset sensor types.

6. The system according to claim 5, characterized in that, Based on the spatial characteristic data of the area to be disinfected, a target sensor group suitable for the area is selected from a variety of preset sensor types, including: Acquire device performance data for each of the preset types of sensors. The device performance data includes one or more combinations of device detection range, device detection accuracy, and device applicable environment type. Calculate the fit between the device performance data of each sensor and the spatial characteristic data of the area to be disinfected; Select at least one sensor from all sensors whose fit reaches or exceeds the preset fit as the target sensor group that is adapted to the place to be disinfected.

7. The system according to claim 6, characterized in that, After identifying key monitoring areas, the following also applies: Based on the real-time environmental feature data of each sensing and monitoring unit and the division results of key monitoring areas, multiple disinfection sub-region feature information is generated using a preset regional division model. Each disinfection sub-region feature information includes the environmental parameters and spatial location identifier of the corresponding disinfection sub-region. Based on the feature information of multiple disinfection sub-regions and combined with the preset disinfection strategy database, multiple disinfection strategy parameter sets are generated. Each disinfection strategy parameter set includes disinfection method, disinfection duration and disinfectant usage. Determine the execution priority parameters for multiple disinfection strategy parameter sets. The execution priority parameters shall include at least a time urgency coefficient and an importance coefficient. The time urgency coefficient is determined based on the time requirements of the disinfection task, and the importance coefficient is determined based on the importance of the disinfection sub-area. Based on the execution priority parameters of the target disinfection strategy parameter set that meets the preset screening conditions from multiple disinfection strategy parameter sets, the disinfection execution plan for the target disinfection area is determined.

8. The system according to claim 7, characterized in that, Based on the execution priority parameters of the target disinfection strategy parameter set that meets the preset screening conditions from multiple disinfection strategy parameter sets, the disinfection execution plan for the target disinfection area is determined, including: Obtain the target location identifier, which is determined based on the user's input of the disinfection area selection command in response to the front end; In ascending order of distance between spatial location markers and target location markers, multiple disinfection strategy parameter sets are sequentially matched with target location markers until a target disinfection strategy parameter set is determined, at which point the matching between the disinfection strategy parameter sets and target location markers ends. If the spatial location marker of the disinfection sub-region corresponding to any disinfection strategy parameter set coincides with the target location marker, then that disinfection strategy parameter set is determined as a target disinfection strategy parameter set that meets the preset screening conditions. The preset screening conditions are that the identifier area of ​​the disinfection sub-region corresponding to the target disinfection strategy parameter set displayed on the front end includes the target location marker. If the importance coefficient of the target disinfection strategy parameter set is high, the type of the target disinfection area is determined to be a key disinfection area, and the target disinfection area is the area to be disinfected specified by the user on the front end. For key disinfection areas, determine at least one associated strategy parameter set of the target disinfection strategy parameter set; Calculate the total disinfection duration and total disinfectant usage corresponding to at least one set of associated strategy parameters; The disinfection time for the target disinfection area is determined based on the difference between the disinfection time corresponding to the parameter set of the target disinfection strategy and the total disinfection time. Based on the sum of the disinfectant usage amount and the total disinfectant usage amount corresponding to the target disinfection strategy parameter set, the disinfectant usage amount for the target disinfection area is determined. Based on the disinfection duration and disinfectant usage of the target disinfection area, a disinfection implementation plan for the target disinfection area is generated.

9. The system according to claim 8, characterized in that, Based on the real-time environmental characteristic data of each sensing and monitoring unit and the division results of key monitoring areas, multiple disinfection sub-region feature information are generated using a preset regional division model, including: Determine the preset region division model in the front end; Real-time environmental feature data from each sensing and monitoring unit are input into the regional division model to obtain multiple preliminary disinfection sub-regions. Environmental parameters were extracted from each initially defined disinfection sub-region to obtain the corresponding environmental parameters; Generate a unique spatial location identifier for each initially defined disinfection sub-region; By combining environmental parameters and spatial location identifiers, multiple disinfection sub-region feature information are generated.

10. A multi-sensor fusion real-time monitoring and disinfection method, characterized in that, include: Based on the spatial characteristics of the place to be disinfected, a suitable target sensor group is selected from a variety of preset sensor types. Based on the layout planning of the area to be disinfected, the deployment location of each target sensor is determined to form a set of deployment locations. The target sensor group is matched with the set of deployment locations to construct multiple sensing and monitoring units. Each sensing and monitoring unit includes a deployment location and a corresponding target sensor. The system receives monitoring data streams from each target sensor in real time and generates real-time environmental feature data of the area monitored by each target sensor within each sensing and monitoring unit based on the monitoring data streams from each target sensor within each sensing and monitoring unit. By integrating real-time environmental characteristic data from various sensing and monitoring units, the current level of contamination risk in each area of ​​the site to be disinfected is assessed. Obtain historical disinfection information and future usage plan data for the site to be disinfected; calculate the potential contamination risk level of the site to be disinfected in each future time interval based on the historical disinfection information and future usage plan data; For each time interval, determine whether the potential contamination risk level of the place to be disinfected in the time interval exceeds a preset first risk threshold. If it exceeds the first risk threshold, the usage area corresponding to the time interval is identified as a key monitoring area. For potential areas of concern with a potential pollution risk level below the first risk threshold, obtain the historical pollution records for each potential area of ​​concern. For each potential area of ​​concern, based on the historical pollution records of the potential area of ​​concern and the potential pollution risk level of the site to be disinfected in the corresponding time interval of the potential area of ​​concern, it is determined whether the potential area of ​​concern meets the preset enhanced monitoring requirements. If it does, the potential area of ​​concern is identified as a key monitoring area.

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