Multi-source allergen efficient removal dynamic monitoring system and method thereof

Abstract

This invention discloses a dynamic monitoring system and method for efficient removal of multi-source allergens, belonging to the field of intelligent environmental monitoring technology. It includes a dynamic monitoring module for establishing a dynamic monitoring mechanism for allergens in a target location. The steps include: selecting monitoring points at the target location; monitoring airborne allergens, including animal allergens, at each selected monitoring point; acquiring relevant data from the selected monitoring points, including the monitoring point corresponding to the first detected animal allergen; designating the monitoring point as monitoring point I; and acquiring the monitoring results of other monitoring points based on monitoring point I, where other monitoring points are those surrounding monitoring point I. This invention achieves an upgrade from passive response to proactive prediction, covering multiple types of allergens with a single system, significantly improving removal efficiency and reducing deployment and maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of intelligent environmental monitoring technology, and in particular to a dynamic monitoring system and method for efficient removal of multi-source allergens. Background Technology

[0002] With the increasing complexity of food processing techniques and the diversification of indoor environments, the sources of allergens have expanded from single foods to multiple sources, including air, contact surfaces (animal allergens), and water. Among animal allergens, cats are one of the most significant indoor allergens causing allergic diseases in humans. Cat allergens rank third among all indoor allergens, with approximately 10% to 30% of adults and an even higher proportion of children worldwide experiencing varying degrees of allergic reactions to cats. This is mainly due to specific allergenic proteins secreted by cats, such as Fel d1.

[0003] Fel d1 is a small glycoprotein, approximately 35–39 kDa in size, mainly produced by the salivary and sebaceous glands of cats, and is found in high concentrations in saliva.

[0004] When cats groom themselves, Fel d1 from their saliva distributes onto the fur and then sheds with the hair and dander. This d1 can easily and persistently remain suspended in the air for extended periods, making it one of the most readily inhaled allergens. Over 90% of cat allergy sufferers react to it, and approximately 75% of allergy symptoms are directly triggered by it. Cat allergy has become a significant issue affecting public health and quality of life. To ensure a healthy environment, monitoring and removal of animal allergens are necessary. Feeding cats food that reduces the concentration of allergens in their saliva (cat food) can help block the spread of allergens.

[0005] Regarding this research, application CN202511365419.1 provides an active removal and intelligent control system and method for indoor allergens. This technical solution uses multiple sensor nodes to monitor the concentration of allergens and environmental parameters in the air in real time. The source inhibition module utilizes an IgY polyclonal antibody preparation derived from avian egg yolk, which acts on the allergen source through a delivery device. The environmental removal module includes an air purification device and an allergen elimination device for cleaning the air and object surfaces. The control module analyzes the detection results based on a dynamic mathematical model and feedback regulation logic, generates control commands, and coordinates the above modules to achieve synergistic effects. This technical solution can improve air quality and reduce health risks for sensitive populations.

[0006] Another application, CN202311008952.3, provides a cleanroom environmental control method and system. This technical solution includes acquiring target unit data for different areas within the cleanroom, where the target unit data includes at least one of target unit type, location data, and displacement data; determining target activity data based on the target unit data, where the target activity data includes movement frequency and movement distance; determining an environmental pollution index based on the area data and the target activity data; and determining an execution strategy based on the environmental pollution index. The execution strategy includes a first cleanliness strategy and a second cleanliness strategy. This technical solution improves the accuracy of intelligent control of cleanrooms.

[0007] However, the above-mentioned technical solutions are all passive modes of "from concentration exceeding the standard to initiating removal". The monitoring and removal of such technical solutions are relatively disconnected, and it is impossible to predict the concentration change trend of animal allergens in advance. This leads to the inability to accurately identify multiple allergens, making the removal strategy static and unable to adapt. Summary of the Invention

[0008] In view of the problems existing in the field of intelligent environmental monitoring technology, the present invention is proposed.

[0009] Therefore, one objective of this invention is to provide a dynamic monitoring system and method for efficient removal of multi-source allergens. This system transforms the propagation speed from qualitative to quantitative analysis through a computational unit, introducing concentration weighting and velocity direction decomposition to make propagation analysis more accurate and reliable. A processing unit presets safety thresholds to automatically trigger removal when limits are exceeded, avoiding over- or under-processing. A fusion prediction module analyzes changes in concentration characteristics and formulates priority removal strategies based on propagation directionality, achieving an upgrade from passive response to proactive prediction. Overall, a single system covers multiple types of allergens, significantly improving removal efficiency and reducing deployment and maintenance costs.

[0010] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0011] On one hand, the present invention provides a dynamic monitoring system for efficient removal of multi-source allergens, comprising:

[0012] The dynamic monitoring module is used to establish a dynamic monitoring mechanism for allergens in the target location. The steps include:

[0013] Monitoring points are selected at the target location, and airborne allergens, including animal allergens, are monitored at each selected monitoring point.

[0014] Relevant data is obtained from the selected monitoring points, including the monitoring point corresponding to the first animal allergen detected. The monitoring point is regarded as monitoring point I, and the monitoring results of other monitoring points are obtained based on monitoring point I. The other monitoring points are monitoring points surrounding monitoring point I.

[0015] The monitoring points surrounding monitoring point I are considered as a monitoring group. The monitoring point that first detects the animal allergen in the monitoring group is obtained, and the time difference between this monitoring point and monitoring point I detecting the animal allergen is calculated.

[0016] The time difference is regarded as a reference time difference, and the reference time difference is divided into at least 6 time periods of equal length.

[0017] The monitoring point that first detects the animal allergen in the monitoring group is marked as the reference monitoring point. Relevant information is obtained according to the segmented time period. The relevant information includes the monitoring points in the monitoring group that detect the animal allergen after the reference monitoring point. If the time taken for this monitoring point to detect the animal allergen is shorter than the reference time difference, the system determines that the animal allergen in the target location is in a state of transmission and issues an early warning.

[0018] The data processing module includes a computing unit and a processing unit;

[0019] The computing unit is used to perform relevant calculations, the steps of which include:

[0020] The monitoring point where animal allergens are detected after the reference monitoring point is regarded as the II monitoring point, and the distance between the reference monitoring point and the II monitoring point is obtained;

[0021] Based on the time taken for the animal allergen to be detected at monitoring point II, the propagation distance of the animal allergen from the reference monitoring point to monitoring point II per second is calculated within the interval.

[0022] The processing unit responds to the calculation unit by setting a safety threshold for the transmission distance. If the calculated transmission distance exceeds the safety threshold, the animal allergen is removed.

[0023] A fusion prediction module, comprising an acquisition unit and an analysis unit;

[0024] The acquisition unit is used to acquire the concentration of animal allergens when the transmission distance exceeds a safety threshold;

[0025] The analysis unit is used to analyze characteristic changes in concentration.

[0026] In a preferred embodiment of the present invention, the calculation unit calculates the distance per second that the animal allergen travels from the reference monitoring point to monitoring point II, based on the following formula:

[0027] ;

[0028] In the formula, This indicates the average rate of transmission of animal allergens from the reference monitoring point to the II monitoring point;

[0029] This represents the straight-line spatial distance between the reference monitoring point and monitoring point II;

[0030] This indicates the timestamp when the reference monitoring site first detected an animal allergen;

[0031] This indicates the time stamp indicating the first detection of animal allergens at monitoring site II;

[0032] This indicates the time difference in the transmission of an animal allergen from the reference monitoring point to monitoring point II.

[0033] In a preferred embodiment of the present invention, the following formula is also included:

[0034] ;

[0035] In the formula, This represents the relative propagation speed based on the reference time difference;

[0036] This represents the straight-line spatial distance between the reference monitoring point and monitoring point II;

[0037] This indicates the reference time difference between the reference monitoring point and monitoring point I;

[0038] This represents the segmentation coefficient for a time period.

[0039] In a preferred embodiment of the present invention, the analysis unit analyzes characteristic changes in concentration, including the correlation between concentration and propagation distance, which are calculated based on the following formula:

[0040] ;

[0041] In the formula, Indicates the concentration-weighted propagation speed;

[0042] Indicates the first The concentration of animal allergens detected at each of the two monitoring points;

[0043] Indicates the reference monitoring point to the number The distance between each monitoring point II;

[0044] Indicates the time difference in transmission;

[0045] This indicates the total number of monitoring points in the monitoring group that were identified as Class II monitoring points.

[0046] In a preferred embodiment of the present invention, correlation processing is performed based on the reference monitoring point, and the correlation processing includes correlation processing based on the entire monitoring group, the steps of which are as follows:

[0047] When an animal allergen is detected at the reference monitoring point, relevant settings are made, including relevant statistics at corresponding time intervals, and the relevant statistics include counting the number of monitoring points II.

[0048] The distance of animal allergen transmission within the entire monitoring group was determined based on the number of monitoring sites II.

[0049] In a preferred embodiment of the present invention, the propagation distance is calculated according to the following formula:

[0050] ;

[0051] In the formula, This represents the weighted average propagation velocity of all monitoring points II in the monitoring group;

[0052] This indicates the total number of monitoring points in the monitoring group that were classified as Class II.

[0053] Indicates the first The time stamp of the first detection of animal allergens at each monitoring site II;

[0054] This indicates the time stamp when the reference monitoring point first detected an animal allergen.

[0055] In a preferred embodiment of the present invention, the correlation processing further includes velocity decomposition based on propagation directionality, as shown in the following calculation formula:

[0056] ;

[0057] ;

[0058] ;

[0059] In the formula, Indicates animal allergens in The propagation velocity component along the axial direction;

[0060] Indicates animal allergens in The propagation velocity component along the axial direction;

[0061] , Represents the two-dimensional coordinates of the reference monitoring point;

[0062] , Represents the two-dimensional coordinates of monitoring point II;

[0063] This indicates the rate of spread of animal allergens.

[0064] In a preferred embodiment of the present invention, the following steps are included: Based on the calculation results, a strategy for removing animal allergens is set, comprising:

[0065] The concentration trends of animal allergens were acquired at least five time intervals, each defined as a set period. These trends included changes in the concentration of animal allergens at different times. shaft and Diffusion concentration along the axial direction;

[0066] The direction with higher diffusion concentration is identified and considered as the main direction for removing animal allergens.

[0067] When removing animal allergens, the area corresponding to the main direction is given priority for removal.

[0068] On the other hand, the present invention provides a method for use in a dynamic monitoring system for efficient removal of multi-source allergens as described above, comprising the following steps:

[0069] Establishing a dynamic monitoring mechanism for allergens in target locations involves the following steps:

[0070] Monitoring points are selected at the target location, and airborne allergens, including animal allergens, are monitored at each selected monitoring point.

[0071] Relevant data is obtained from the selected monitoring points, including the monitoring point corresponding to the first animal allergen detected. The monitoring point is regarded as monitoring point I, and the monitoring results of other monitoring points are obtained based on monitoring point I. The other monitoring points are monitoring points surrounding monitoring point I.

[0072] The monitoring points surrounding monitoring point I are considered as a monitoring group. The monitoring point that first detects the animal allergen in the monitoring group is obtained, and the time difference between this monitoring point and monitoring point I detecting the animal allergen is calculated.

[0073] The time difference is regarded as a reference time difference, and the reference time difference is divided into at least 6 time periods of equal length.

[0074] The monitoring point that first detects the animal allergen in the monitoring group is marked as the reference monitoring point. Relevant information is obtained according to the segmented time period. The relevant information includes the monitoring points in the monitoring group that detect the animal allergen after the reference monitoring point. If the time taken for this monitoring point to detect the animal allergen is shorter than the reference time difference, the system determines that the animal allergen in the target location is in a state of transmission and issues an early warning.

[0075] The relevant calculations include the following steps:

[0076] The monitoring point where animal allergens are detected after the reference monitoring point is regarded as the II monitoring point, and the distance between the reference monitoring point and the II monitoring point is obtained;

[0077] Based on the time taken for the animal allergen to be detected at monitoring point II, the propagation distance of the animal allergen from the reference monitoring point to monitoring point II per second is calculated within the interval.

[0078] A preset safety threshold for transmission distance is established. If the calculated transmission distance exceeds the safety threshold, the animal allergen will be removed.

[0079] The concentration of animal allergens was obtained when the transmission distance exceeded the safety threshold;

[0080] Analyze the characteristic changes in concentration.

[0081] Beneficial effects:

[0082] 1. The system selects monitoring point I (the point where the allergen is detected first) instead of passively waiting for all points to alarm, and forms a monitoring group around monitoring point I to track the complete path of the allergen spreading from the source. At the same time, the reference time difference is divided into at least 6 equal time periods. By comparing whether the time taken by monitoring point II is shorter than the reference time difference, the system can accurately determine whether it is in the process of spreading and issue an early warning, thus gaining the golden time for removal and treatment.

[0083] 2. The system calculates the propagation distance per second, providing a digital standard for how fast the propagation is, which is beneficial for quantifying the propagation speed. By using the reference time difference as a benchmark, the interference of absolute time in different scenarios is eliminated, making it easier to compare across scenarios. At the same time, the system gives greater weight to high-concentration areas in the results, avoiding the "dilution" of the true propagation speed by low-concentration points, making the concentration-weighted speed more accurate.

[0084] 3. The system decomposes the propagation speed into two axial components, and automatically acquires the concentration and analyzes its characteristic changes when the propagation distance exceeds the safety threshold, to determine whether the allergen is increasing or decreasing. At the same time, it acquires the concentration change trend at least 5 time intervals as a set period. This upgrades the monitoring of animal allergens in target locations from passive response to active prediction, greatly improving the removal efficiency of animal allergens. Attached Figure Description

[0085] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a schematic diagram of the modular structure of the dynamic monitoring system for efficient removal of multi-source allergens according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the method flow according to an embodiment of the present invention; The diagram is labeled as follows: 110 - Dynamic monitoring module; 120 - Data processing module; 1201 - Calculation unit; 1202 - Processing unit; 130 - Fusion prediction module; 1301 - Acquisition unit; 1302 - Analysis unit. Detailed Implementation

[0086] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0087] Because existing technical solutions are all passive, operating on a "from concentration exceeding the standard to initiating removal" model, they cannot accurately identify multiple allergens, making the removal strategy static and unable to adapt.

[0088] Based on this, the present invention proposes a dynamic monitoring system and method for efficient removal of multi-source allergens. It analyzes the changes in concentration characteristics through a computing unit, a processing unit and a fusion prediction module, and formulates a priority removal strategy based on the direction of propagation, thereby upgrading from passive response to active prediction. Overall, it covers multiple types of allergens with one system, which greatly improves the removal efficiency and reduces the deployment and maintenance costs.

[0089] The present solution will be further described in detail below through embodiments and in conjunction with the accompanying drawings.

[0090] Reference Figures 1 to 2 As one embodiment of the present invention, this embodiment provides a dynamic monitoring system for efficient removal of multi-source allergens, comprising:

[0091] Dynamic monitoring module 110 is used to establish a dynamic monitoring mechanism for allergens in a target location, the steps of which include:

[0092] The selection of monitoring points at the target site (including the selection of monitoring points based on the characteristics of the building layout of the target site, such as airflow lines (fresh air inlet → corridor → room → exhaust vent), pollution source lines (cat habitat, garden entrance, humid area), personnel exposure lines (office workstation, dining area) etc.) is carried out, and air allergens, including animal allergens, are monitored at each of the selected monitoring points.

[0093] Relevant data are obtained from the selected monitoring points, including the monitoring point corresponding to the first animal allergen detected. The monitoring point is regarded as monitoring point I (source), and the monitoring results of other monitoring points are obtained based on monitoring point I. The other monitoring points are the monitoring points surrounding monitoring point I.

[0094] The monitoring points surrounding monitoring point I are considered as the monitoring group. The monitoring point that first detects the animal allergen in the monitoring group is selected, and the time difference between this monitoring point and monitoring point I when the animal allergen is detected is calculated.

[0095] The time difference is regarded as a reference time difference, and the reference time difference is divided into at least 6 equal time periods.

[0096] The monitoring point where animal allergens are first detected in the monitoring group will be marked as the reference monitoring point. Relevant information will be obtained according to the segmented time period. The relevant information includes monitoring points in the monitoring group that detect animal allergens after the reference monitoring point. If the time taken for this monitoring point to detect animal allergens is shorter than the reference time difference, the system will determine that animal allergens in the target location are in a state of transmission and issue an early warning.

[0097] Data processing module 120, which includes a computing unit 1201 and a processing unit 1202;

[0098] The calculation unit 1201 is used to perform relevant calculations, the steps of which include:

[0099] The monitoring point where animal allergens are detected after the reference monitoring point is regarded as the II monitoring point, and the distance between the reference monitoring point and the II monitoring point is obtained;

[0100] Based on the time taken for animal allergens to be detected at monitoring point II, calculate the propagation distance (propagation speed) of animal allergens from the reference monitoring point to monitoring point II within the interval.

[0101] The processing unit 1202 is a response calculation unit used to preset a safety threshold for the transmission distance (e.g., >5m / s). If the calculated transmission distance exceeds the safety threshold (then it is considered to be a fast transmission speed), the animal allergen is removed.

[0102] For example, feed the baby egg yolk powder or tablets containing Anti-Fel d1 (available from Jiangsu Jiyu Biomedical Technology Co., Ltd.).

[0103] Feeding cats can reduce the concentration of allergens in their saliva, thereby blocking the spread of allergens.

[0104] The fusion prediction module 130 includes an acquisition unit 1301 and an analysis unit 1302.

[0105] The acquisition unit 1301 is used to acquire the concentration of animal allergens when the transmission distance exceeds a safety threshold;

[0106] The concentration of animal allergens can be obtained using a double-antibody sandwich enzyme-linked immunosorbent assay (ELISA) device, a fully automated fluorescence immunoassay analyzer, or a high-throughput protein chip detection device; it can also be obtained using a matching detection kit. This is obviously well known to those skilled in the art, therefore the applicant will not elaborate on the methods used here.

[0107] Analysis unit 1302 is used to analyze characteristic changes in concentration.

[0108] In summary, by achieving a closed-loop chain of "first discovering the source → tracing the transmission path → determining the transmission status → automatically triggering removal," allergen management is upgraded from a passive response to a proactive early warning, thus gaining valuable time for treatment.

[0109] The distance per second from the reference monitoring point to monitoring point II for the animal allergen is calculated using the following formula:

[0110] ;

[0111] In the formula, This indicates the average speed at which an animal allergen spreads from the reference monitoring point to monitoring point II;

[0112] This represents the straight-line spatial distance between the reference monitoring point and monitoring point II;

[0113] This indicates the timestamp when the reference monitoring site first detected an animal allergen;

[0114] This indicates the time stamp indicating the first detection of animal allergens at monitoring site II;

[0115] This indicates the time difference in which an animal allergen spreads from the reference monitoring point to the II monitoring point.

[0116] Quantifying the vague phenomenon of "allergens spreading" into precise numerical speed provides an objective mathematical standard for determining whether the threshold has been exceeded and how to remove them, thus avoiding errors from subjective human judgment.

[0117] In addition to the above, it also includes calculations based on the following formula:

[0118] ;

[0119] In the formula, This represents the relative propagation speed relative to a reference time difference.

[0120] This represents the straight-line spatial distance between the reference monitoring point and monitoring point II;

[0121] This indicates the reference time difference between the reference monitoring point and monitoring point I;

[0122] This represents the segmentation coefficient for a time period.

[0123] It should be noted that, This indicates the proportion of the reference time difference taken by monitoring point II (e.g., if divided into 6 segments, if monitoring point II is triggered in the 2nd segment, then...). =2 / 6).

[0124] when =1, meaning the time taken for monitoring point II to detect the animal allergen is equal to the reference time difference. = The two are the same;

[0125] Compared to the previous calculation formula, this formula introduces a "reference time difference" as a normalization benchmark, eliminating the dimensional differences in absolute time differences under different scenarios. This allows for horizontal comparison of propagation speeds in different locations and at different times, facilitating the establishment of a unified safety assessment standard and improving the system's versatility and portability.

[0126] In the analysis unit, the characteristic changes in concentration are analyzed, including the relationship between concentration and propagation distance, which are calculated based on the following formula:

[0127] ;

[0128] In the formula, Indicates the concentration-weighted propagation speed;

[0129] Indicates the first The concentration of animal allergens detected at each of the two monitoring points;

[0130] Indicates the reference monitoring point to the number The distance between each monitoring point II;

[0131] Indicates the time difference in transmission;

[0132] This indicates the total number of monitoring sites classified as Class II in the monitoring group (within the monitoring group, those monitoring sites located after the reference monitoring site and whose animal allergens have been confirmed by the system to be detected; how many in total). (That is, several).

[0133] It should be noted that the higher the concentration of a monitoring point, the greater the weight given to the calculation of the propagation speed, and the more the result reflects the true propagation situation in the "high concentration area".

[0134] This embodiment avoids the problem of low-concentration monitoring points "diluting" the actual propagation speed, making the calculation results more reflective of the actual propagation situation in high-concentration areas, making the formulation of removal strategies more accurate, and prioritizing the treatment of high-risk areas.

[0135] Correlation processing is performed based on reference monitoring points, including correlation processing based on the entire monitoring group. The steps are as follows:

[0136] When animal allergens are detected at the reference monitoring point, relevant settings are made. These settings include statistical analysis at corresponding time intervals (e.g., every 1 to 3 seconds). The statistical analysis includes counting the number of monitoring points II.

[0137] The distance (speed) of animal allergen transmission within the entire monitoring group was obtained based on the number of monitoring sites II.

[0138] In this embodiment, after an allergen is detected at a reference monitoring point, the number of monitoring points II is counted at fixed time intervals. Based on the counted number of monitoring points II, the transmission distance in the entire monitoring group is obtained, thus achieving an upgrade from "single-point analysis" to "overall assessment".

[0139] Because a single II monitoring point may have random errors, while the results based on multi-point statistics of the entire monitoring group are more stable and reliable; the more II monitoring points there are, the wider the spread, and the system can dynamically adjust the removal intensity accordingly.

[0140] The propagation distance (propagation speed) is calculated using the following formula:

[0141] ;

[0142] In the formula, This represents the weighted average propagation velocity of all monitoring points II in the monitoring group;

[0143] This indicates the total number of monitoring points in the monitoring group that were classified as Class II.

[0144] Indicates the first The time stamp of the first detection of animal allergens at each monitoring site II;

[0145] This indicates the time stamp when the reference monitoring point first detected an animal allergen.

[0146] In this embodiment, the data from all II monitoring points within the monitoring group are merged into a representative velocity value, which preserves the individual differences of each point (through weighting) and provides an overall trend, thus providing a basis for decision-making on whether large-scale removal is necessary.

[0147] Related processing also includes velocity decomposition based on propagation directionality (two-dimensional plane), as shown in the following calculation formula:

[0148] ;

[0149] ;

[0150] ;

[0151] In the formula, Indicates animal allergens in The propagation velocity component along the axial direction;

[0152] Indicates animal allergens in The propagation velocity component along the axial direction;

[0153] , Represents the two-dimensional coordinates of the reference monitoring point;

[0154] , Represents the two-dimensional coordinates of monitoring point II;

[0155] This represents the combined velocity (vector magnitude) of animal allergen transmission.

[0156] In this embodiment, not only is it known that the allergen is spreading, but it is also known precisely in which direction it is spreading. This provides precise coordinate-level guidance for the subsequent formulation of directional removal strategies, avoiding the waste of resources caused by blindly removing all areas.

[0157] Based on the calculation results, a strategy for removing animal allergens is established, including the following steps:

[0158] The concentration trends of animal allergens were obtained over at least five time intervals, each defined as a set period. These trends included changes in the concentration of animal allergens at different times. shaft and Diffusion concentration along the axial direction;

[0159] The direction with higher diffusion concentration is identified, and this direction is considered the main direction for removing animal allergens.

[0160] When removing animal allergens, prioritize areas that correspond to the main direction of travel for removal.

[0161] In this embodiment, "precision strike" removal is achieved—instead of uniform netting, resources are concentrated to prioritize the direction of the most severe spread, which greatly improves removal efficiency and reduces energy consumption. At the same time, intelligent upgrade from "current response" to "trend prediction" is achieved through multi-time period trend analysis.

[0162] Based on the above, this application analyzes the changes in concentration characteristics through a calculation unit, a processing unit, and a fusion prediction module, and formulates a priority removal strategy based on the directionality of propagation, thereby upgrading from passive response to proactive prediction. Overall, it covers multiple types of allergens with a single system, significantly improving removal efficiency and reducing deployment and maintenance costs.

[0163] This embodiment, in conjunction with the aforementioned dynamic monitoring system for efficient removal of multi-source allergens, also proposes the following working method for the system:

[0164] S10: Establish a dynamic monitoring mechanism for allergens at the target location, including the following steps:

[0165] S101: Select monitoring points at the target location, and monitor air allergens at each selected monitoring point, including animal allergens;

[0166] S102: Obtain relevant data from the selected monitoring points, including the monitoring point corresponding to the first animal allergen detected. The monitoring point is regarded as monitoring point I, and the monitoring results of other monitoring points are obtained based on monitoring point I. Other monitoring points are monitoring points surrounding monitoring point I.

[0167] S103: Consider the monitoring points surrounding monitoring point I as a monitoring group, obtain the monitoring point in the monitoring group that first detects the animal allergen, and calculate the time difference between this monitoring point and monitoring point I when the animal allergen is detected;

[0168] S104: Treat the time difference as a reference time difference and divide the reference time difference into at least 6 equal time periods;

[0169] S105: The monitoring point in the monitoring group that first detects animal allergens will be marked as the reference monitoring point. Relevant information will be obtained according to the segmented time period. The relevant information includes the monitoring points in the monitoring group that detect animal allergens after the reference monitoring point. If the time taken for this monitoring point to detect animal allergens is shorter than the reference time difference, the system will determine that the animal allergens in the target location are in a state of transmission and issue an early warning.

[0170] S20: Perform relevant calculations, including the following steps:

[0171] The monitoring point where animal allergens are detected after the reference monitoring point is regarded as the II monitoring point, and the distance between the reference monitoring point and the II monitoring point is obtained;

[0172] Based on the time taken for animal allergens to be detected at monitoring point II, calculate the distance per second that the animal allergens travel from the reference monitoring point to monitoring point II within the interval.

[0173] S30: Preset a safety threshold for transmission distance. If the calculated transmission distance exceeds the safety threshold, remove the animal allergen.

[0174] S40: Obtain the concentration of animal allergens when the transmission distance exceeds the safety threshold;

[0175] S50: Analyze characteristic changes in concentration.

[0176] In summary, this invention analyzes concentration characteristic changes through a computing unit, a processing unit, and a fusion prediction module, and formulates a priority removal strategy based on the directionality of propagation, thereby upgrading from passive response to proactive prediction. Overall, it covers multiple types of allergens with a single system, significantly improving removal efficiency and reducing deployment and maintenance costs.

[0177] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A dynamic monitoring system for efficient removal of multi-source allergens, characterized in that, include: The dynamic monitoring module is used to establish a dynamic monitoring mechanism for allergens in the target location. The steps include: Monitoring points are selected at the target location, and airborne allergens, including animal allergens, are monitored at each selected monitoring point. Relevant data is obtained from the selected monitoring points, including the monitoring point corresponding to the first animal allergen detected. The monitoring point is regarded as monitoring point I, and the monitoring results of other monitoring points are obtained based on monitoring point I. The other monitoring points are monitoring points surrounding monitoring point I. The monitoring points surrounding monitoring point I are considered as a monitoring group. The monitoring point that first detects the animal allergen in the monitoring group is obtained, and the time difference between this monitoring point and monitoring point I detecting the animal allergen is calculated. The time difference is regarded as a reference time difference, and the reference time difference is divided into at least 6 time periods of equal length. The monitoring point that first detects the animal allergen in the monitoring group is marked as the reference monitoring point. Relevant information is obtained according to the segmented time period. The relevant information includes the monitoring points in the monitoring group that detect the animal allergen after the reference monitoring point. If the time taken for this monitoring point to detect the animal allergen is shorter than the reference time difference, the system determines that the animal allergen in the target location is in a state of transmission and issues an early warning. The data processing module includes a computing unit and a processing unit; The computing unit is used to perform relevant calculations, the steps of which include: The monitoring point where animal allergens are detected after the reference monitoring point is regarded as the II monitoring point, and the distance between the reference monitoring point and the II monitoring point is obtained; Based on the time taken for the animal allergen to be detected at monitoring point II, the propagation distance of the animal allergen from the reference monitoring point to monitoring point II per second is calculated within the interval. The processing unit responds to the calculation unit by setting a safety threshold for the transmission distance. If the calculated transmission distance exceeds the safety threshold, the animal allergen is removed. A fusion prediction module, comprising an acquisition unit and an analysis unit; The acquisition unit is used to acquire the concentration of animal allergens when the transmission distance exceeds a safety threshold; The analysis unit is used to analyze characteristic changes in concentration.

2. The multi-source allergen high-efficiency removal dynamic monitoring system as described in claim 1, characterized in that, In the calculation unit, the propagation distance per second of the animal allergen from the reference monitoring point to monitoring point II is calculated according to the following formula: ； In the formula, This indicates the average rate of transmission of animal allergens from the reference monitoring point to the II monitoring point; This represents the straight-line spatial distance between the reference monitoring point and monitoring point II; This indicates the timestamp when the reference monitoring site first detected an animal allergen; This indicates the time stamp indicating the first detection of animal allergens at monitoring site II; This indicates the time difference in the transmission of an animal allergen from the reference monitoring point to monitoring point II.

3. The multi-source allergen high-efficiency removal dynamic monitoring system as described in claim 2, characterized in that, It also includes calculations based on the following formula: ； In the formula, This represents the relative propagation speed based on the reference time difference; This represents the straight-line spatial distance between the reference monitoring point and monitoring point II; This indicates the reference time difference between the reference monitoring point and monitoring point I; This represents the segmentation coefficient for a time period.

4. The multi-source allergen high-efficiency removal dynamic monitoring system as described in claim 1, characterized in that, In the analysis unit, characteristic changes in concentration are analyzed, including the correlation between concentration and propagation distance, which are calculated based on the following formula: ； In the formula, Indicates the concentration-weighted propagation speed; Indicates the first The concentration of animal allergens detected at each of the two monitoring points; Indicates the reference monitoring point to the number The distance between each monitoring point II; Indicates the time difference in transmission; This indicates the total number of monitoring points in the monitoring group that were identified as Class II monitoring points.

5. The multi-source allergen high-efficiency removal dynamic monitoring system as described in claim 1, characterized in that, Correlation processing is performed based on the reference monitoring points, including correlation processing based on the entire monitoring group, as follows: When an animal allergen is detected at the reference monitoring point, relevant settings are made, including relevant statistics at corresponding time intervals, and the relevant statistics include counting the number of monitoring points II. The distance of animal allergen transmission within the entire monitoring group was determined based on the number of monitoring sites II.

6. The multi-source allergen high-efficiency removal dynamic monitoring system as described in claim 5, characterized in that, The propagation distance is calculated according to the following formula: ； In the formula, This represents the weighted average propagation velocity of all monitoring points II in the monitoring group; This indicates the total number of monitoring points in the monitoring group that were classified as Class II. Indicates the first The time stamp of the first detection of animal allergens at each monitoring site II; This indicates the time stamp when the reference monitoring point first detected an animal allergen.

7. The multi-source allergen high-efficiency removal dynamic monitoring system as described in claim 5, characterized in that, The related processing also includes velocity decomposition based on propagation directionality, as shown in the following calculation formula: ； ； ； In the formula, Indicates animal allergens in The propagation velocity component along the axial direction; Indicates animal allergens in The propagation velocity component along the axial direction; , Represents the two-dimensional coordinates of the reference monitoring point; , Represents the two-dimensional coordinates of monitoring point II; This indicates the rate of spread of animal allergens.

8. The multi-source allergen high-efficiency removal dynamic monitoring system as described in claim 7, characterized in that, Based on the calculation results, a strategy for removing animal allergens is established, including the following steps: The concentration trends of animal allergens were acquired at least five time intervals, each defined as a set period. These trends included changes in the concentration of animal allergens at different times. shaft and Diffusion concentration along the axial direction; The direction with higher diffusion concentration is identified and considered as the main direction for removing animal allergens. When removing animal allergens, the area corresponding to the main direction is given priority for removal.

9. A method applied to a dynamic monitoring system for efficient removal of multi-source allergens as described in claim 1, characterized in that, Includes the following steps: Establishing a dynamic monitoring mechanism for allergens in target locations involves the following steps: Monitoring points are selected at the target location, and airborne allergens, including animal allergens, are monitored at each selected monitoring point. Relevant data is obtained from the selected monitoring points, including the monitoring point corresponding to the first animal allergen detected. The monitoring point is regarded as monitoring point I, and the monitoring results of other monitoring points are obtained based on monitoring point I. The other monitoring points are monitoring points surrounding monitoring point I. The monitoring points surrounding monitoring point I are considered as a monitoring group. The monitoring point that first detects the animal allergen in the monitoring group is obtained, and the time difference between this monitoring point and monitoring point I detecting the animal allergen is calculated. The time difference is regarded as a reference time difference, and the reference time difference is divided into at least 6 time periods of equal length. The monitoring point that first detects the animal allergen in the monitoring group is marked as the reference monitoring point. Relevant information is obtained according to the segmented time period. The relevant information includes the monitoring points in the monitoring group that detect the animal allergen after the reference monitoring point. If the time taken for this monitoring point to detect the animal allergen is shorter than the reference time difference, the system determines that the animal allergen in the target location is in a state of transmission and issues an early warning. The relevant calculations include the following steps: The monitoring point where animal allergens are detected after the reference monitoring point is regarded as the II monitoring point, and the distance between the reference monitoring point and the II monitoring point is obtained; Based on the time taken for the animal allergen to be detected at monitoring point II, the propagation distance of the animal allergen from the reference monitoring point to monitoring point II per second is calculated within the interval. A preset safety threshold for transmission distance is established. If the calculated transmission distance exceeds the safety threshold, the animal allergen will be removed. The concentration of animal allergens was obtained when the transmission distance exceeded the safety threshold; Analyze the characteristic changes in concentration.

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