An intelligent air pollutant monitoring system and a monitoring method

Abstract

The application provides an air pollutant intelligent monitoring system and a monitoring method, and relates to the field of environmental air quality detection.The system comprises a basic information module, which is used for acquiring basic user information of a user and a region category of a target monitoring region; a determination monitoring module, which is used for determining a monitoring pollutant according to the basic user information and the region category; a real-time monitoring module, which is used for acquiring a pollutant content of the monitoring pollutant of each target monitoring region; a real-time information module, which is used for acquiring real-time user information of the user; a pollution index module, which is used for determining an air pollution index of each target monitoring region according to the real-time user information and the pollutant content; a change index module, which is used for determining an air pollution change index according to the air pollution index; and a monitoring report module, which is used for generating a monitoring report according to the air pollution index and the air pollution change index.According to the application, the intelligentialization and accuracy of air pollutant monitoring can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of environmental air quality detection, and in particular to an air pollutant intelligent monitoring system and a monitoring method. BACKGROUND

[0002] In the related art, air pollutant monitoring mainly relies on sensor technology, which can provide real-time data of pollutant concentration. However, the related art cannot set corresponding monitoring thresholds according to the personal conditions of users, that is, cannot set corresponding pollutant monitoring thresholds according to the location conditions and physical conditions of users, to improve the accuracy of monitoring results.

[0003] The information disclosed in the background section of this application is only intended to deepen the understanding of the general background of the application and should not be regarded as acknowledging or implying in any form that this information constitutes prior art known to those skilled in the art. SUMMARY

[0004] The present application provides an air pollutant intelligent monitoring system and a monitoring method, which can solve the technical problem that the related art cannot set corresponding pollutant monitoring thresholds according to the location conditions and physical conditions of users, to improve the accuracy of monitoring results.

[0005] According to a first aspect of the present application, an air pollutant intelligent monitoring system is provided, comprising:

[0006] a basic information module configured to obtain basic user information of a user and a region category of a target monitoring region;

[0007] a determination monitoring module configured to determine a monitoring pollutant according to the basic user information and the region category;

[0008] a real-time monitoring module configured to obtain, at multiple time points in a monitoring period, pollutant content of the monitoring pollutant in each target monitoring region through a sensor combination arranged in the target monitoring region;

[0009] a real-time information module configured to obtain real-time user information of the user;

[0010] a pollution index module configured to determine an air pollution index of each target monitoring region according to the real-time user information and the pollutant content;

[0011] a change index module configured to determine an air pollution change index according to the air pollution index;

[0012] a monitoring report module configured to generate a monitoring report according to the air pollution index and the air pollution change index.

[0013] According to the basic user information and the area category, the monitoring pollutants are determined, including:

[0014] According to the basic user information, the user allergy history and the user respiratory disease history are determined;

[0015] According to the user allergy history and the user respiratory disease history, the user targeted pollutants are determined;

[0016] According to the area category, the area targeted pollutants are determined;

[0017] According to the user targeted pollutants and the area targeted pollutants, the monitoring pollutants are determined.

[0018] According to the real-time user information and the pollutant content, the air pollution index of each target monitoring area is determined, including:

[0019] According to the real-time user information, the real-time user location information and the real-time user health state information are determined;

[0020] According to the real-time user location information, the user location recognition result is determined;

[0021] According to the real-time user health state information, the user pollutant harm coefficient is determined;

[0022] According to the pollutant content, the area targeted pollutant content and the user targeted pollutant content are determined;

[0023] According to the user pollutant harm coefficient, the user location recognition result, the area targeted pollutant content and the user targeted pollutant content, the air pollution index of each target monitoring area is determined.

[0024] According to the real-time user location information, the user location recognition result is determined, including:

[0025] According to the real-time user location information, the real-time coordinate information of the user in a preset coordinate system is determined, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of a plurality of target monitoring areas;

[0026] The area coordinate range of each target monitoring area is determined;

[0027] According to the area coordinate range and the real-time coordinate information, the user location recognition result is determined.

[0028] According to the real-time user health state information, the user pollutant harm coefficient is determined, including:

[0029] According to the real-time user health state information, a user heart rate, a user body temperature and a user respiratory frequency are determined;

[0030] User historical health state information is acquired;

[0031] According to the user historical health state information, a normal user heart rate, a normal user body temperature and a normal user respiratory frequency are acquired;

[0032] According to the user heart rate, the user body temperature, the user respiratory frequency, the normal user heart rate, the normal user body temperature and the normal user respiratory frequency, a user pollutant harm coefficient is determined.

[0033] According to the present application, according to the user heart rate, the user body temperature, the user respiratory frequency, the normal user heart rate, the normal user body temperature and the normal user respiratory frequency, a user pollutant harm coefficient is determined, including:

[0034] According to the formula

[0035]

[0036] A user pollutant harm coefficient of the user at an i-th moment of a monitoring period is determined , wherein, is a user heart rate of the user at the i-th moment of the monitoring period, is a normal user heart rate, is a user body temperature of the user at the i-th moment of the monitoring period, is a normal user body temperature, is a user respiratory frequency of the user at the i-th moment of the monitoring period, is a normal user respiratory frequency.

[0037] According to the present application, according to the user pollutant harm coefficient, the user location recognition result, the regional targeted pollutant content and the user targeted pollutant content, an air pollution index of each target monitoring region is determined, including:

[0038] According to the formula

[0039]

[0040] An air pollution index of a k-th target monitoring region at an i-th moment of a monitoring period is determined , wherein min is a minimum value function, if is a conditional function, is a user location recognition result of the k-th target monitoring region at the i-th moment of the monitoring period, , a regional targeted pollutant content of the rth regional targeted pollutant of the kth target monitoring region at the ith moment of the monitoring period, a preset regional targeted pollutant content threshold of the rth regional targeted pollutant of the kth target monitoring region, a user pollutant harm coefficient of the user at the ith moment of the monitoring period, a preset user pollutant harm coefficient threshold, a user targeted pollutant content of the jth user targeted pollutant of the kth target monitoring region at the ith moment of the monitoring period, a preset user targeted pollutant content threshold of the jth user targeted pollutant, R is the number of regional targeted pollutants of the target monitoring region, r≤R, n is the number of user targeted pollutants, j≤n, and R, r, n and j are all positive integers.

[0041] According to the present application, an air pollution change index is determined according to the air pollution index, comprising:

[0042] The air pollution index and the moment in the monitoring period are fitted to obtain an air pollution index function in the current monitoring period;

[0043] According to the air pollution index function, an air pollution index change rate of multiple moments in the current monitoring period is determined;

[0044] According to the air pollution index change rate, an air pollution change index is determined.

[0045] According to the present application, a monitoring report is generated according to the air pollution index and the air pollution change index, comprising:

[0046] If the air pollution index is greater than a preset air pollution index threshold, air pollution alarm information is generated;

[0047] If the air pollution change index is greater than a preset air pollution change index threshold, air pollution early warning information is generated.

[0048] According to the second aspect of the present application, an air pollutant intelligent monitoring method is provided, comprising:

[0049] Basic user information of a user and a regional category of a target monitoring region are obtained;

[0050] According to the basic user information and the regional category, a monitoring pollutant is determined;

[0051] At multiple moments in a monitoring period, pollutant contents of the monitoring pollutant of each target monitoring region are obtained by a sensor combination arranged in the target monitoring region;

[0052] obtaining real-time user information of the user;

[0053] determining an air pollution index of each target monitoring area according to the real-time user information and the pollutant content;

[0054] determining an air pollution change index according to the air pollution index;

[0055] generating a monitoring report according to the air pollution index and the air pollution change index.

[0056] Technical effects: According to the present application, the monitoring pollutants are determined according to the personal information of the user and the area category of the target monitoring area, and the monitoring pollutants are monitored in real time. Further, the air pollution degree of each target monitoring area relative to the user can be determined according to the pollutant content and the real-time information of the user, and the air pollution change condition can be determined according to the air pollution degree, and a monitoring report is generated, which improves the intelligence and accuracy of air pollution monitoring. When determining the user pollutant harm coefficient, the user pollutant harm coefficient can be determined according to the user heart rate, the user body temperature, the user breathing frequency, the normal user heart rate, the normal user body temperature, and the normal user breathing frequency. The harm degree of the pollutants to the user can be evaluated from three aspects of the user heart rate condition, the user body temperature condition, and the user breathing frequency condition, which improves the comprehensiveness and accuracy of the user pollutant harm coefficient. When determining the air pollution index, the air pollution index of each target monitoring area can be determined according to the user pollutant harm coefficient, the user position recognition result, the regional target pollutant content, and the user target pollutant content. In the calculation process, whether the user is located in the target monitoring area can be determined according to the position of the user. When the user is located in the target monitoring area, the corresponding monitoring threshold can be set according to the user pollutant harm coefficient, and the air pollution degree can be evaluated according to the regional target pollutant content, the user target pollutant content, and the corresponding monitoring threshold, which improves the accuracy and objectivity of the air pollution index.

[0057] It should be understood that the above general description and the following detailed description are exemplary and explanatory, but not limiting the present application. Other features and aspects of the present application will be more clearly understood from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other embodiments from these drawings without creative labor;

[0059] Figure 1 a block diagram of an air pollutant intelligent monitoring system according to an embodiment of the present application is shown;

[0060] Figure 2 a flowchart of an air pollutant intelligent monitoring method according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described below clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0062] The technical solutions of the present application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and some embodiments may not be described again for the same or similar concepts or processes.

[0063] Figure 1 a block diagram of an air pollutant intelligent monitoring system according to an embodiment of the present application is shown, and the system comprises:

[0064] a basic information module configured to acquire basic user information of a user and a region category of a target monitoring region;

[0065] a determination monitoring module configured to determine a monitoring pollutant according to the basic user information and the region category;

[0066] a real-time monitoring module configured to acquire a pollutant content of the monitoring pollutant of each target monitoring region through a sensor combination arranged in the target monitoring region at multiple time points in a monitoring period;

[0067] a real-time information module configured to acquire real-time user information of the user;

[0068] a pollution index module configured to determine an air pollution index of each target monitoring region according to the real-time user information and the pollutant content;

[0069] a change index module configured to determine an air pollution change index according to the air pollution index;

[0070] a monitoring report module configured to generate a monitoring report according to the air pollution index and the air pollution change index.

[0071] According to the air pollutant intelligent monitoring system of the embodiment of the present application, the monitoring pollutants can be determined according to the personal information of the user and the area category of the target monitoring area, and the monitoring pollutants are monitored in real time. Further, the air pollution degree of each target monitoring area relative to the user can be determined according to the pollutant content and the real-time information of the user, the air pollution change condition can be determined according to the air pollution degree, and the monitoring report can be generated, thereby improving the intelligence and accuracy of air pollutant monitoring.

[0072] According to an embodiment of the present application, in the basic information module, the basic user information of the user and the area category of the target monitoring area are obtained.

[0073] For example, the basic user information of the user, such as the disease history of the user, is obtained, and the area category of the target area, such as the bathroom, toilet, bedroom and kitchen, is obtained according to the design information of the house.

[0074] According to an embodiment of the present application, in the determination module, the monitoring pollutants are determined according to the basic user information and the area category.

[0075] According to an embodiment of the present application, the monitoring pollutants are determined according to the basic user information and the area category, comprising:

[0076] According to the basic user information, the user allergy history and the user respiratory disease history are determined;

[0077] According to the user allergy history and the user respiratory disease history, the user targeted pollutants are determined;

[0078] According to the area category, the area targeted pollutants are determined;

[0079] According to the user targeted pollutants and the area targeted pollutants, the monitoring pollutants are determined.

[0080] For example, according to the basic user information, the user allergy history (such as allergy to pollen) and the user respiratory disease history (such as asthma) are determined; according to the user allergy history and the user respiratory disease history, the user targeted pollutants are determined, such as when the user is allergic to pollen, the user targeted pollutants include pollen, and when the user has asthma, the user targeted pollutants include volatile organic compounds (such as VOCs) and the like; according to the area category, the area targeted pollutants are determined, such as when the area category is the kitchen, the area targeted pollutants include the oil frying and stir-frying generated and acrolein, carbon monoxide and nitrogen dioxide released by incomplete combustion of gas stoves; according to the user targeted pollutants and the area targeted pollutants, the monitoring pollutants are determined.

[0081] According to one embodiment of the present application, in the real-time monitoring module, the pollutant content of the monitoring pollutant in each target monitoring area is obtained by the sensor combination arranged in the target monitoring area at multiple time points in the monitoring period.

[0082] For example, according to the regional targeted pollutant of each target monitoring area and the user targeted pollutant of the user, the corresponding sensor is arranged in each target monitoring area to obtain the pollutant content of the monitoring pollutant in each target monitoring area.

[0083] According to one embodiment of the present application, in the real-time information module, the real-time user information of the user is obtained.

[0084] For example, the real-time user information of the user is obtained by the smart bracelet worn by the user.

[0085] According to one embodiment of the present application, in the pollution index module, the air pollution index of each target monitoring area is determined according to the real-time user information and the pollutant content.

[0086] According to one embodiment of the present application, the air pollution index of each target monitoring area is determined according to the real-time user information and the pollutant content, comprising:

[0087] According to the real-time user information, the real-time user location information and the real-time user health state information are determined;

[0088] According to the real-time user location information, the user location recognition result is determined;

[0089] According to the real-time user health state information, the user pollutant harm coefficient is determined;

[0090] According to the pollutant content, the regional targeted pollutant content and the user targeted pollutant content are determined;

[0091] According to the user pollutant harm coefficient, the user location recognition result, the regional targeted pollutant content and the user targeted pollutant content, the air pollution index of each target monitoring area is determined.

[0092] For example, real-time user position information and real-time user health state information are acquired according to a smart bracelet worn by the user; whether the user is in a target monitoring area is judged according to the real-time user position information, and a user position recognition result is determined; a user pollution harm coefficient is determined by evaluating a harm degree of the pollution to the user according to the user health state information acquired by the smart bracelet; a regional target pollution content of each target monitoring area and a user target pollution content are determined according to the pollution content collected by the sensor combination; air pollution conditions of each target monitoring area are evaluated according to the user pollution harm coefficient, the user position recognition result, the regional target pollution content and the user target pollution content, and air pollution indexes of each target monitoring area are determined.

[0093] According to one embodiment of the present application, the user position recognition result is determined according to the real-time user position information, including:

[0094] Real-time coordinate information of the user in a preset coordinate system is determined according to the real-time user position information, wherein the preset coordinate system is a coordinate system established based on a preset origin in a range of the plurality of target monitoring areas;

[0095] A regional coordinate range of each target monitoring area is determined.

[0096] The user position recognition result is determined according to the regional coordinate range and the real-time coordinate information.

[0097] For example, a preset coordinate system is established based on a center of a range of the plurality of target monitoring areas as an origin, a vertically upward direction as a z-axis of the preset coordinate system, and a ground as an xoy plane of the preset coordinate system, real-time coordinate information of the user in the preset coordinate system is determined according to real-time position information provided by the smart bracelet, a regional coordinate range of each target area is determined through GIS software (such as QGIS), if the real-time coordinate information of the user at a first time of a monitoring period is located in the regional coordinate range of a first target monitoring area, it indicates that the user is located in the first target monitoring area at the first time of the monitoring period, and then the user position recognition result of the first target monitoring area at the first time of the monitoring period is 1, otherwise, the user position recognition result of the first target monitoring area at the first time of the monitoring period is 0.

[0098] According to one embodiment of the present application, the user pollution harm coefficient is determined according to the real-time user health state information, including:

[0099] The user heart rate, the user body temperature and the user breathing frequency are determined according to the real-time user health state information.

[0100] User historical health state information is acquired.

[0101] According to the user historical health state information, a normal user heart rate, a normal user body temperature and a normal user respiratory frequency are obtained;

[0102] According to the user heart rate, the user body temperature, the user respiratory frequency, the normal user heart rate, the normal user body temperature and the normal user respiratory frequency, a user pollution hazard coefficient is determined.

[0103] For example, according to real-time user health state information provided by a smart bracelet, a user heart rate, a user body temperature and a user respiratory frequency of a user in a monitoring period are determined; user historical health state information of the user monitored by the smart bracelet in historical dates is obtained; the normal user heart rate, the normal user body temperature and the normal user respiratory frequency of the user in a normal condition are determined by averaging data of multiple historical dates; the respiratory state of the user is evaluated according to the user heart rate, the user body temperature, the user respiratory frequency, the normal user heart rate, the normal user body temperature and the normal user respiratory frequency, and the user pollution hazard coefficient is determined; the greater the user pollution hazard coefficient is, the greater the harm of pollutants to the user through the respiratory route is.

[0104] According to one embodiment of the present application, according to the user heart rate, the user body temperature, the user respiratory frequency, the normal user heart rate, the normal user body temperature and the normal user respiratory frequency, the user pollution hazard coefficient is determined, including: determining the user pollution hazard coefficient of the user at the i th moment of the monitoring period according to formula (1) ,

[0105] (1)

[0106] wherein, is the user heart rate of the user at the i th moment of the monitoring period, is the normal user heart rate, is the user body temperature of the user at the i th moment of the monitoring period, is the normal user body temperature, is the user respiratory frequency of the user at the i th moment of the monitoring period, is the normal user respiratory frequency.

[0107] According to one embodiment of the present application, is the relative difference between the user heart rate of the user at the i th moment of the monitoring period and the normal user heart rate, the greater the ratio is, the greater the relative user heart rate is, the higher the metabolic level is, and the pollution toxicity (such as the reaction between ozone and lung cells) may be enhanced, a relative difference between the user's respiratory frequency at the i th moment of the monitoring period and the normal user's respiratory frequency, the greater the ratio, the faster the user's respiratory frequency, thereby increasing the amount of pollutants inhaled, a relative difference between the user's respiratory frequency at the i th moment of the monitoring period and the normal user's respiratory frequency, the greater the ratio, the faster the user's respiratory frequency, thereby increasing the amount of pollutants inhaled. indicates that the user's respiratory state is evaluated according to the user's heart rate condition, the user's body temperature condition and the user's respiratory frequency condition, the greater the user's pollution hazard coefficient, the greater the amount of pollutants inhaled by the user or the greater the toxicity of the pollutants, the greater the harm of the pollutants to the user through the respiratory route.

[0108] In this way, the user's pollution hazard coefficient can be determined according to the user's heart rate, the user's body temperature, the user's respiratory frequency, the normal user's heart rate, the normal user's body temperature and the normal user's respiratory frequency, the harm of the pollutants to the user can be evaluated from three aspects of the user's heart rate condition, the user's body temperature condition and the user's respiratory frequency condition, and the comprehensiveness and accuracy of the user's pollution hazard coefficient are improved.

[0109] According to one embodiment of the present application, the air pollution index of each target monitoring area is determined according to the user's pollution hazard coefficient, the user's location recognition result, the regional target pollution content and the user's target pollution content, comprising: determining the air pollution index of the k th target monitoring area at the i th moment of the monitoring period according to formula (2) ,

[0110] (2)

[0111] wherein min is a minimum function, if is a conditional function, is the user's location recognition result of the k th target monitoring area at the i th moment of the monitoring period, , is the regional target pollution content of the r th regional target pollution of the k th target monitoring area at the i th moment of the monitoring period, is the preset regional target pollution content threshold of the r th regional target pollution of the k th target monitoring area, is the user's pollution hazard coefficient of the user at the i th moment of the monitoring period, is a preset user's pollution hazard coefficient threshold, is the user's target pollution content of the j th user's target pollution of the k th target monitoring area at the i th moment of the monitoring period, R is the number of regional targeted pollutants of the target monitoring area, r≤R, n is the number of user targeted pollutants, j≤n, R, r, n and j are positive integers.

[0112] According to one embodiment of the present application, in formula (2), the value of the condition function includes the following two cases: when the condition is met, it indicates that the user is located outside the kth target monitoring area at the ith moment of the monitoring period, and therefore, when the air pollution index in the kth target monitoring area is evaluated at the ith moment of the monitoring period, the influence of the user factor does not need to be considered, and the value of the condition function is ; when the condition is not met, it indicates that the user is located in the kth target monitoring area at the ith moment of the monitoring period, and therefore, when the air pollution index in the kth target monitoring area is evaluated at the ith moment of the monitoring period, the influence of the user factor needs to be considered, and the value of the condition function is .

[0113] According to one embodiment of the present application, in formula (2), the value of the condition function includes the following two cases: when the condition is met, it indicates that the rth regional targeted pollutant of the kth target monitoring area exceeds the preset standard in terms of regional targeted pollutant content at the ith moment of the monitoring period, and the pollution is relatively serious, and the value of this condition function is , , where the greater the ratio, the more serious the over-standard of the pollutant content, and the more serious the pollution condition; when the condition is not met, it indicates that the rth regional targeted pollutant of the kth target monitoring area does not exceed the preset standard in terms of regional targeted pollutant content at the ith moment of the monitoring period, and the value of this condition function is 0. The preset regional targeted pollutant content threshold is determined according to the international or domestic air quality standard, for example, when the target monitoring area is a kitchen, the corresponding regional targeted pollutants of the kitchen are carbon monoxide and nitrogen dioxide, and the preset regional targeted pollutant content thresholds of carbon monoxide and nitrogen dioxide are 30 mg / m³ and 188 µg / m³, respectively. is summed according to the number of regional targeted pollutants of the target monitoring area, indicating the overall pollution degree of all regional targeted pollutants of the target monitoring area.

[0114] According to one embodiment of the present application, , a ratio of the user pollutant harm coefficient of the user at the i-th moment of the monitoring period to a preset user pollutant harm coefficient threshold, the greater the ratio, the greater the harm of the pollutant to the user, the preset user pollutant harm coefficient threshold can be set to 0.3, when the user pollutant harm coefficient is equal to 0.3, it can be considered that the user's heart rate, body temperature and respiratory rate are less different from normal conditions, and the harm degree of the pollutant to the user is lower, an intelligent preset regional targeted pollutant content threshold determined according to the user pollutant harm coefficient, the greater the value, the higher the harm degree of the regional targeted pollutant to the user, the smaller the intelligent preset regional targeted pollutant content threshold, representing taking the minimum value of the preset regional targeted pollutant content threshold and the intelligent preset regional targeted pollutant content threshold, the above minimum value processing can ensure that the user in a relatively low resting state (such as a sleep state) of heart rate, body temperature and respiratory rate can also maintain a relatively strict monitoring standard for the regional targeted pollutant content threshold.

[0115] According to one embodiment of the present application, in formula (2), the value of the condition function includes the following two cases, when the condition of is met, the regional targeted pollutant content of the r-th regional targeted pollutant of the k-th target monitoring region at the i-th moment of the monitoring period is greater than the minimum value of the preset regional targeted pollutant content threshold and the intelligent preset regional targeted pollutant content threshold, indicating that the pollution degree of the regional targeted pollutant exceeds the standard, and the value of the condition function is , the relative difference between the regional targeted pollutant content and the minimum value of the preset regional targeted pollutant content threshold and the intelligent preset regional targeted pollutant content threshold, the greater the ratio, the greater the regional targeted pollutant content, and the more serious the pollution degree, when the condition of is not met, it indicates that the pollution degree does not exceed the standard, and the value of the condition function is 0. is summed according to the number of regional targeted pollutants of the target monitoring region, indicating the overall pollution degree of all regional targeted pollutants of the target monitoring region.

[0116] According to one embodiment of the present application, , an intelligent preset user targeted pollutant content threshold determined according to the user pollutant harm coefficient, the greater the value, the higher the harm degree of the regional targeted pollutant to the user, the smaller the intelligent preset regional targeted pollutant content threshold, The minimum value of the preset user-targeting pollutant content threshold and the intelligent preset user-targeting pollutant content threshold is taken, and the minimum value taking processing ensures that the user-targeting pollutant content of the user can be monitored with a relatively strict monitoring standard when the user is in a relatively low heart rate, body temperature and breathing rate resting state (for example, a sleep state).

[0117] According to one embodiment of the present application, in formula (2), the value of the condition function includes the following two cases: when the condition of is met, the user-targeting pollutant content of the jth user-targeting pollutant in the kth target monitoring area at the ith moment of the monitoring period is greater than the minimum value of the preset user-targeting pollutant content threshold and the intelligent user-targeting pollutant content threshold, indicating that the pollution degree of the user-targeting pollutant exceeds the standard, and the value of the condition function is , The greater the relative difference between the user-targeting pollutant content and the minimum value of the preset user-targeting pollutant content threshold and the intelligent user-targeting pollutant content threshold, the greater the user-targeting pollutant content and the more serious the pollution degree. When the condition of is not met, it indicates that the pollution degree of the user-targeting pollutant does not exceed the standard, and the value of the condition function is 0. The preset user-targeting pollutant content threshold is determined according to the relevant standards of the World Health Organization. For example, when the user has asthma, the user-targeting pollutants of the user are volatile organic compounds (VOCs) and ozone, and the preset user-targeting pollutant content thresholds of volatile organic compounds (VOCs) and ozone are 0.6 mg / m³ and 100 μg / m³, respectively. is summed according to the number of user-targeting pollutants, indicating the overall pollution degree of all user-targeting pollutants in the target monitoring area.

[0118] According to one embodiment of the present application, is the air pollution index when the user is in the target monitoring area, which is determined according to the overall pollution degree of all area-targeting pollutants and the overall pollution degree of all user-targeting pollutants in the target monitoring area.

[0119] In this way, the air pollution index of each target monitoring area can be determined according to the user pollutant harm coefficient, the user location recognition result, the area-targeting pollutant content and the user-targeting pollutant content. In the calculation process, whether the user is in the target monitoring area can be determined according to the location of the user, and when the user is in the target monitoring area, the corresponding monitoring threshold can be set according to the user pollutant harm coefficient, and the air pollution degree can be evaluated according to the area-targeting pollutant content, the user-targeting pollutant content and the corresponding monitoring threshold, thereby improving the accuracy and objectivity of the air pollution index.

[0120] According to one embodiment of the present application, in the variation index module, the air pollution variation index is determined according to the air pollution index.

[0121] According to one embodiment of the present application, the air pollution variation index is determined according to the air pollution index, comprising:

[0122] fitting the air pollution index and the time in the monitoring period to obtain an air pollution index function of the current monitoring period;

[0123] determining the air pollution index variation rate of the plurality of times in the current monitoring period according to the air pollution index function;

[0124] determining the air pollution variation index according to the air pollution index variation rate.

[0125] For example, fitting the air pollution index and the time in the monitoring period of the kth target monitoring area to obtain an air pollution index function for describing the rule of the air pollution index of the kth target monitoring area changing over time in the monitoring period; deriving the air pollution index function to obtain an air pollution index derivative function, substituting the time in the monitoring period into the air pollution index derivative function to determine the air pollution index variation rate of the plurality of times in the current monitoring period; if the air pollution index variation rate is less than or equal to 0, the air pollution variation index is equal to 0, and if the air pollution index variation rate is greater than 0, the air pollution variation index is equal to the air pollution index variation rate.

[0126] According to one embodiment of the present application, in the monitoring report module, the monitoring report is generated according to the air pollution index and the air pollution variation index.

[0127] According to one embodiment of the present application, the monitoring report is generated according to the air pollution index and the air pollution variation index, comprising:

[0128] if the air pollution index is greater than a preset air pollution index threshold, generating air pollution alarm information;

[0129] if the air pollution variation index is greater than a preset air pollution variation index threshold, generating air pollution early warning information.

[0130] For example, the preset air pollution index threshold can be set as 0, when the air pollution index is equal to 0, it indicates that there is no situation of exceeding the standard of pollution in the target monitoring area, if the air pollution index of the kth target monitoring area is greater than the preset air pollution index threshold, it indicates that the air pollution of the target monitoring area is relatively serious, and the air pollution alarm information of the kth target monitoring area is generated; the preset air pollution change index threshold can be set as 0.1, when the air pollution change index is less than 0.1, it indicates that the air pollution aggravation condition of the target monitoring area is relatively slight, if the air pollution change index of the kth target monitoring area is greater than the preset air pollution change index threshold, it indicates that the air pollution aggravation condition of the target monitoring area is relatively serious, and the air pollution warning information of the kth target monitoring area is generated.

[0131] The air pollutant intelligent monitoring system according to the embodiment of the application can determine the monitored pollutants according to the personal information of the user and the area category of the target monitoring area, and monitor the monitored pollutants in real time, and further, can determine the air pollution degree of each target monitoring area relative to the user according to the pollutant content and the real-time information of the user, determine the air pollution change condition according to the air pollution degree, and generate a monitoring report, thereby improving the intelligence and accuracy of air pollutant monitoring. When determining the user pollutant harm coefficient, the user pollutant harm coefficient can be determined according to the user heart rate, the user body temperature, the user breathing frequency, the normal user heart rate, the normal user body temperature and the normal user breathing frequency, the harm degree of the pollutants to the user can be evaluated from three aspects of the user heart rate condition, the user body temperature condition and the user breathing frequency condition, thereby improving the comprehensiveness and accuracy of the user pollutant harm coefficient. When determining the air pollution index, the air pollution index of each target monitoring area can be determined according to the user pollutant harm coefficient, the user position recognition result, the area targeted pollutant content and the user targeted pollutant content, in the calculation process, whether the user is located in the target monitoring area or not can be determined according to the position of the user, when the user is located in the target monitoring area, the corresponding monitoring threshold can be set according to the user pollutant harm coefficient, and the air pollution degree can be evaluated according to the area targeted pollutant content, the user targeted pollutant content and the corresponding monitoring threshold, thereby improving the accuracy and objectivity of the air pollution index.

[0132] Figure 2 An exemplary flowchart of an air pollutant intelligent monitoring method according to an embodiment of the application is shown, the method comprises:

[0133] In step S1, the basic user information of the user and the area category of the target monitoring area are acquired.

[0134] In step S2, the monitored pollutants are determined according to the basic user information and the area category.

[0135] Step S3, at multiple time points in a monitoring period, obtaining the pollutant content of the monitoring pollutant of each target monitoring area through the sensor combination arranged in the target monitoring area;

[0136] Step S4, obtaining real-time user information of the user;

[0137] Step S5, determining the air pollution index of each target monitoring area according to the real-time user information and the pollutant content;

[0138] Step S6, determining the air pollution change index according to the air pollution index;

[0139] Step S7, generating a monitoring report according to the air pollution index and the air pollution change index.

[0140] The present application can be a method, device, system and / or computer program product. The computer program product can include a computer-readable storage medium having computer-readable program instructions loaded thereon for executing various aspects of the present application.

[0141] Those skilled in the art will understand that the above-described embodiments of the present application shown in the description and drawings are only examples and do not limit the present application. The purpose of the present application has been fully and effectively achieved. The functional and structural principles of the present application have been demonstrated and described in the embodiments, and the embodiments of the present application can be modified or changed in any way without departing from the principles.

Claims

1. An intelligent air pollutant monitoring system, characterized in that, The application relates to a system and method for monitoring air pollution, and belongs to the field of environmental monitoring. The system comprises: a basic information module for acquiring basic user information of a user and area categories of target monitoring areas; a determination monitoring module for determining monitoring pollutants according to the basic user information and the area categories; a real-time monitoring module for acquiring pollutant contents of the monitoring pollutants of each target monitoring area at multiple time points in a monitoring period through a sensor combination arranged in the target monitoring area; a real-time information module for acquiring real-time user information of the user; a pollution index module for determining air pollution indexes of each target monitoring area according to the real-time user information and the pollutant contents; a change index module for determining air pollution change indexes according to the air pollution indexes; a monitoring report module for generating a monitoring report according to the air pollution indexes and the air pollution change indexes. The method for determining the air pollution indexes of each target monitoring area according to the real-time user information and the pollutant contents comprises the following steps: determining real-time user position information and real-time user health state information according to the real-time user information; determining user position recognition results according to the real-time user position information; determining a user pollutant harm coefficient according to the real-time user health state information; determining area targeted pollutant contents and user targeted pollutant contents according to the pollutant contents; determining the air pollution indexes of each target monitoring area according to the user pollutant harm coefficient, the user position recognition results, the area targeted pollutant contents and the user targeted pollutant contents. The method for determining the air pollution indexes of each target monitoring area according to the user pollutant harm coefficient, the user position recognition results, the area targeted pollutant contents and the user targeted pollutant contents comprises the following steps: determining an air pollution index of the kth target monitoring area at the ith time point of the monitoring period wherein min is a minimum function, and if is a conditional function, is a user position recognition result of the kth target monitoring area at the ith time point of the monitoring period, , is a regional targeted pollutant content of the rth regional targeted pollutant of the kth target monitoring area at the ith time point of the monitoring period, is a preset regional targeted pollutant content threshold of the rth regional targeted pollutant of the kth target monitoring area, is a user pollutant harm coefficient of the user at the ith time point of the monitoring period, is a preset user pollutant harm coefficient threshold, is a user targeted pollutant content of the jth user targeted pollutant of the kth target monitoring area at the ith time point of the monitoring period, is a preset user targeted pollutant content threshold of the jth user targeted pollutant, R is a number of regional targeted pollutants of the target monitoring area, r≤R, n is a number of user targeted pollutants, j≤n, and R, r, n, and j are positive integers.

2. The air pollutant intelligent monitoring system of claim 1, wherein determining the air pollution indexes of each target monitoring area according to the formula The method for determining the monitoring pollutants according to the basic user information and the area categories comprises the following steps: determining user allergy history and user respiratory disease history according to the basic user information; determining user targeted pollutants according to the user allergy history and the user respiratory disease history; determining area targeted pollutants according to the area categories; 3. The air pollutant intelligent monitoring system of claim 1, wherein determining the monitoring pollutants according to the user targeted pollutants and the area targeted pollutants. The method for determining the user position recognition results according to the real-time user position information comprises the following steps: determining real-time coordinate information of the user in a preset coordinate system according to the real-time user position information, wherein the preset coordinate system is a coordinate system established based on a preset origin point in a range of multiple target monitoring areas; determining area coordinate ranges of each target monitoring area; 4. The air pollutant intelligent monitoring system of claim 1, wherein determining the user position recognition results according to the area coordinate ranges and the real-time coordinate information. The method for determining the user pollutant harm coefficient according to the real-time user health state information comprises the following steps: determining a user heart rate, a user body temperature and a user respiratory frequency according to the real-time user health state information; acquiring user historical health state information; acquiring normal user heart rates, normal user body temperatures and normal user respiratory frequencies according to the user historical health state information; According to the user heart rate, the user body temperature, the user respiratory frequency, the normal user heart rate, the normal user body temperature and the normal user respiratory frequency, a user pollution hazard coefficient is determined.

5. The air pollutant intelligent monitoring system of claim 4, wherein According to the user heart rate, the user body temperature, the user respiratory frequency, the normal user heart rate, the normal user body temperature and the normal user respiratory frequency, a user pollution hazard coefficient is determined, including: According to the formula determining a user pollution hazard coefficient of the user at the i-th time instant of the monitoring period wherein, is a user heart rate of the user at the i-th time instant of the monitoring period, is a normal user heart rate, is a user body temperature of the user at the i-th time instant of the monitoring period, is a normal user body temperature, is a user respiratory rate of the user at the i-th time instant of the monitoring period, is a normal user respiratory rate.

6. The air pollutant intelligent monitoring system of claim 1, wherein According to the air pollution index, an air pollution change index is determined, including: Fitting the air pollution index and the time in the monitoring period to obtain an air pollution index function in the current monitoring period; According to the air pollution index function, an air pollution index change rate of multiple times in the current monitoring period is determined; According to the air pollution index change rate, an air pollution change index is determined.

7. The air pollutant intelligent monitoring system of claim 1, wherein According to the air pollution index and the air pollution change index, a monitoring report is generated, including: If the air pollution index is greater than a preset air pollution index threshold, air pollution alarm information is generated; If the air pollution change index is greater than a preset air pollution change index threshold, air pollution early warning information is generated.

8. An intelligent air pollutant monitoring method, characterized in that, The method is used for the air pollution intelligent monitoring system in any one of claims 1-7, including: Obtaining basic user information of a user and a region category of a target monitoring region; According to the basic user information and the region category, a monitoring pollution is determined; At multiple times in a monitoring period, through a sensor combination arranged in the target monitoring region, a pollution content of the monitoring pollution of each target monitoring region is obtained; Obtaining real-time user information of a user; According to the real-time user information and the pollution content, an air pollution index of each target monitoring region is determined; According to the air pollution index, an air pollution change index is determined; According to the air pollution index and the air pollution change index, a monitoring report is generated.

Images