Risk monitoring system based on environmental health

Abstract

The invention discloses a risk monitoring system based on environmental health, and the system comprises an environmental data collection module, a collected data processing module, a cloud computing platform, a data comprehensive analysis module, and a risk early warning response module. Grades are divided based on the proportion of risk factors, dynamic risk grading is achieved, the severity degrees of different risks can be visually distinguished, long-term environmental health risk changes in a monitoring area are monitored and analyzed through periodic data analysis, and long-term trend analysis is achieved. The risk early warning response module can quickly identify risk types through warning lamp colors through a grading early warning mechanism for setting color grades, and meanwhile, the higher the risk grade is, the more the warning lamps are, so that the visual impact of early warning is enhanced, the warning effect of early warning is improved, dynamic lamp number change is achieved to enhance early warning, and the risk early warning effect is improved. And risk quantification and response landing are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to a risk monitoring system based on environmental health. Background Art

[0002] Environmental monitoring now refers to the regular, continuous or specific monitoring of environmental quality to assess environmental pollution conditions and the health of ecosystems, involving multiple environmental factors such as air, water, soil, and noise, providing a scientific basis for environmental protection and management. With the development of science and technology, monitoring technology is constantly innovating. For example, the application of remote sensing technology and automated monitoring systems has improved monitoring efficiency and accuracy. Many regions have established environmental monitoring networks including ground monitoring stations and satellite monitoring systems, which can provide real-time or quasi-real-time environmental data. By analyzing environmental monitoring data, the impact of environmental pollution on human health can be identified, potential health risks can be assessed, and a basis can be provided for the formulation of environmental policies and health protection measures. A Chinese patent discloses an intelligent dust monitoring and early warning system based on the working environment and human occupational health. The application number is: CN202211144836.X. This patent can accurately and effectively provide a reliable data basis for subsequent construction site dust analysis results, greatly improving the representativeness of the analysis results and improving the accuracy of the analysis results.

[0003] Currently, when monitoring risks, there are many factors that affect health risks in different environments, and it is impossible to fully obtain environmental influencing factors, resulting in low accuracy in health risk monitoring. Different types of influencing factors cause different health risk results, and it is impossible to classify and warn health risks. As a result, when actually warning and alerting, the environmental influencing factors of health risks cannot be judged in the first time, thereby reducing the effectiveness of the warning. Summary of the Invention

[0004] The present invention provides a risk monitoring system based on environmental health, which can effectively solve the problem raised in the above background technology that there are many risk factors affecting health caused by different environments during risk monitoring, and it is impossible to fully obtain environmental influencing factors, resulting in low accuracy in health risk monitoring. Different types of influencing factors cause different health risk results, and it is impossible to perform graded warnings for health risks. As a result, when actually warning and alerting, the environmental influencing factors of health risks cannot be judged in the first time, thereby reducing the effectiveness of the warning.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: a risk monitoring system based on environmental health, which uses sensing devices to monitor and collect data on environmental parameters in real time, identifies and analyzes environmental risks based on the monitoring data, and issues early warnings for risks to human health;

[0006] It includes environmental data collection module, collected data processing module, cloud computing platform, data comprehensive analysis module and risk warning response module;

[0007] The environmental data collection module acquires environmental pollutants, health-related parameters and external environmental dynamic data in real time. The collected data processing module performs pre-processing operations on the collected data to improve data quality and transmission efficiency. The cloud computing platform provides elastic and scalable computing resources and services, and supports the storage and processing of massive data. The data comprehensive analysis module uses data analysis technology to conduct in-depth analysis of monitoring data to discover potential environmental risks and problems. The risk warning response module dynamically triggers warnings and links emergency measures based on the identification results of environmental risk factors.

[0008] According to the above technical solution, the environmental data collection module collects various environmental parameter data related to environmental health by arranging detection sensors, providing accurate data support for environmental health risk monitoring and early warning, specifically including the collection and acquisition of health risk influencing factors data in the atmospheric environment, water environment and soil environment;

[0009] Risk factors in the atmospheric environment include particulate matter, gaseous pollutants, and greenhouse gases;

[0010] Polluting particulate matter includes PM2.5 and PM10, which are harmful to the human respiratory and cardiovascular systems;

[0011] Gaseous pollutants include sulfur dioxide, nitrogen dioxide, and carbon monoxide, which have negative impacts on the environment and human health;

[0012] Greenhouse gases include carbon dioxide and methane, which cause global climate change, trigger extreme weather events, and affect human health;

[0013] Risk factors for the water environment include water pollution, water shortage, and soil erosion;

[0014] Water pollution includes industrial wastewater and domestic sewage, which pollute water bodies and affect aquatic life and human water safety;

[0015] Water scarcity includes water shortages caused by uneven distribution and overexploitation of water resources;

[0016] Soil loss includes soil erosion and land degradation, which causes damage to agricultural production and the ecological environment;

[0017] Risk factors of soil environment include soil pollution, soil erosion, and land desertification;

[0018] Soil pollution includes soil contamination caused by industrial waste, pesticides, and fertilizers, which affects the quality of agricultural products and ecological health;

[0019] Soil erosion includes soil erosion caused by external forces such as wind and water;

[0020] Land desertification includes land desertification caused by overgrazing and overcultivation, which threatens the ecological environment.

[0021] According to the above technical solution, after obtaining various environmental parameter data, the environmental data collection module needs to convert the analog or digital signal output by the sensor into a data format that can be processed by the computer to ensure that multi-source heterogeneous data has a high degree of consistency.

[0022] According to the above technical solution, the data collection processing module receives the environmental parameter data related to environmental health collected by the environmental data collection module, and improves the data quality and transmission efficiency by cleaning, denoising and compressing the collected data;

[0023] After preprocessing the data, the data of different health risk influencing factors are separately classified and integrated. During the separate classification and integration, data outliers are deleted through detection and correction to ensure the accuracy and completeness of the data, and enable different types of influencing factor data to be effectively integrated to form a separate data set.

[0024] According to the above technical solution, after the data is preliminarily processed and compressed, the data acquisition processing module establishes a communication link for data processing through a built-in communication unit, and uses wireless network communication technology to enable the data to be accurately transmitted subsequently.

[0025] According to the above technical solution, the cloud computing platform receives the processed data transmitted by the data collection and processing module, realizes the storage of massive data, and uses the powerful data processing capabilities of the cloud computing platform to realize further distributed processing of the data, and stores the data on health risk factors in the atmospheric environment, water environment and soil environment in a distributed storage manner;

[0026] At the same time, the cloud computing platform also includes data mining when processing data, specifically using statistical techniques and machine learning methods to extract useful information related to environmental health risk assessment from massive data;

[0027] Based on data mining, association analysis technology is used to discover the potential connections and patterns between various environmental health data, providing data support for subsequent risk warnings.

[0028] According to the above technical solution, the data comprehensive analysis module uses statistical analysis technology and machine learning technology to conduct in-depth analysis of the processed data to analyze the impact of environmental factors on human health. Specifically, by extracting characteristics that affect health risks, it quantifies the correlation between environmental factors and health diseases. Health risk assessment is to identify environmental impacts by combining monitoring data and epidemiological studies.

[0029] Statistical analysis techniques use descriptive statistics and exploratory data analysis methods to understand the distribution characteristics and development trends of environmental data and identify potential environmental health risk factors;

[0030] Machine learning technology establishes multiple machine learning models to predict possible health risk trends in the future environment based on historical and current data. At the same time, it can also analyze long-term environmental health risk changes in the monitoring area based on periodic monitoring data to achieve long-term trend analysis.

[0031] According to the above technical solution, after analyzing the potential impact of different environmental factors on human health, the data comprehensive analysis module also needs to determine the risk level. When determining the risk level, the level is divided according to the proportion of risk influencing factors. The higher the proportion, the more warning colors and the number, and the higher the risk level.

[0032] The specific grading rules are as follows:

[0033] When the particulate matter, gaseous pollutants and greenhouse gases in the atmospheric environment risk factors all affect human health, the system will issue a first-level alarm response when warning of atmospheric environment risk factors;

[0034] When any two of the risk factors in the atmospheric environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the atmospheric environment;

[0035] When any of the risk factors in the atmospheric environment have an impact on human health, the system will respond with a three-level alarm when warning of the risk factors in the atmospheric environment;

[0036] When water pollution, water shortage, and soil erosion among the risk factors of the water environment have an impact on human health, the system will issue a first-level alarm response when warning of the risk factors of the water environment;

[0037] When any two of the risk factors in the water environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the water environment;

[0038] When any of the risk factors in the water environment have an impact on human health, the system will respond with a three-level alarm when warning of the risk factors in the water environment;

[0039] When soil pollution, soil erosion, and land desertification, among the risk factors of the soil environment, affect human health, the system will issue a first-level alarm response when warning of the risk factors of the soil environment;

[0040] When any two of the risk factors in the soil environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the soil environment;

[0041] When any of the risk factors in the soil environment have an impact on human health, the system will issue a secondary alarm response when warning of the risk factors in the soil environment.

[0042] According to the above technical solution, after analyzing and discovering potential environmental risks, the risk warning response module promptly issues environmental risk warning information based on the analysis results, helping to take corresponding measures to prevent environmental risks. When issuing environmental risk warning information, it mainly provides targeted warnings based on the influencing factors and the level of environmental risks.

[0043] Specifically, when risk factors in the atmospheric environment have an impact on human health, the system will issue a red warning; when risk factors in the water environment have an impact on human health, the system will issue a yellow warning; when risk factors in the soil environment have an impact on human health, the system will issue a blue warning.

[0044] According to the above technical solution, when the risk warning response module issues a targeted warning for risk factors of the atmospheric environment:

[0045] When the risk level of the atmospheric environment risk factors is level one, the system will respond with a level one alarm. In addition to the big red warning light, three small red warning lights will be added for a combined warning.

[0046] When the risk level of the atmospheric environment risk factor is level 2, the system will respond with a level 2 alarm. In addition to the big red warning light, two small red warning lights will be added for a combined warning.

[0047] When the risk level of the atmospheric environment risk factors is level three, the system will respond with a level three alarm. In addition to the big red warning light, a small red warning light will be added for warning.

[0048] When providing targeted early warnings for risk factors in the water environment:

[0049] When the risk level of the risk factors of the water environment is level one, the system will respond with a level one alarm. In addition to the warning light of the large yellow warning light, three small yellow warning lights will be added for a combined warning.

[0050] When the risk level of the risk factor of the water environment is level 2, the system will respond with a level 2 alarm. In addition to the warning light of the large yellow warning light, two small yellow warning lights will be added for a combined warning.

[0051] When the risk level of the risk factors of the water environment is level three, the system will respond with a level three alarm. On the basis of the large yellow warning light, a small yellow warning light will be added to the warning light.

[0052] When providing targeted early warnings on risk factors in the soil environment:

[0053] When the risk level of the soil environment risk factor is level one, the system will respond with a level one alarm. In addition to the large blue warning light, three small blue warning lights will be added for a combined warning.

[0054] When the risk level of the soil environment risk factor is level 2, the system will respond with a level 2 alarm. In addition to the large blue warning light, two small blue warning lights will be added for a combined warning.

[0055] When the risk level of the risk factors in the soil environment is level three, the system will respond with a level three alarm. In addition to the warning of the large blue warning light, a small blue warning light will be added for combined warning.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] 1. The comprehensive data analysis module can combine epidemiological data with monitoring data, quantify the impact of environmental factors on health through machine learning models, and achieve quantitative assessment of environmental health risks. It also divides risk factors into three levels based on their proportion, two levels for two factors, and one level for all factors, achieving dynamic risk grading and making it possible to intuitively distinguish the severity of different risks. Through periodic data analysis, it monitors and analyzes long-term changes in environmental health risks within the monitoring area, achieving long-term trend analysis.

[0058] The risk warning response module uses a graded warning mechanism with color levels to quickly identify risk types through the color of warning lights. At the same time, the higher the risk level, the more warning lights there are, thereby strengthening the visual impact of the warning, enhancing the warning effect, and realizing dynamic changes in the number of lights to enhance warnings, thereby achieving risk quantification and response implementation.

[0059] 2. Comprehensive data collection is achieved through the environmental data collection module. By fully deploying the sensor network, real-time data on health-related health risk factors in the atmosphere, water, and soil environments are obtained, and comprehensive multi-source acquisition of environmental parameter data in different forms of gaseous atmosphere, liquid sewage, and solid soil in the environment is achieved, ensuring the spatiotemporal accuracy of data collection, providing a multi-dimensional data foundation for subsequent health risk monitoring, supporting unified data format conversion between different types of sensors, achieving multi-source heterogeneous compatibility, and providing standardized input for subsequent processing.

[0060] 3. The data collection and processing module can improve data quality through pre-processing and improve data reliability. By classifying and integrating scattered environmental parameters into independent data sets according to the categories of atmosphere, water, and soil, it is convenient to support subsequent targeted analysis and ensure the efficiency of subsequent analysis of different data. Combined with the massive storage and computing power of the cloud computing platform, it is convenient to carry out distributed storage of atmospheric, water, and soil environmental data, and facilitate the efficient management of multi-source data. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0062] In the attached figure:

[0063] Figure 1 It is a structural block diagram of the risk monitoring system of the present invention. DETAILED DESCRIPTION

[0064] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0065] Example: Figure 1 As shown, the present invention provides a technical solution, a risk monitoring system based on environmental health, which uses sensing equipment to monitor environmental parameters in real time and collect data, identifies and analyzes environmental risks based on the monitoring data, and issues early warnings for risks to human health;

[0066] It includes environmental data collection module, collected data processing module, cloud computing platform, data comprehensive analysis module and risk warning response module;

[0067] The environmental data collection module acquires environmental pollutants, health-related parameters and dynamic data of the external environment in real time. The data collection and processing module performs pre-processing operations on the collected data to improve data quality and transmission efficiency. The cloud computing platform provides elastic and scalable computing resources and services, and supports the storage and processing of massive data. The data comprehensive analysis module uses data analysis technology to conduct in-depth analysis of monitoring data to discover potential environmental risks and problems. The risk warning response module dynamically triggers warnings and links emergency measures based on the identification results of environmental risk factors.

[0068] Based on the above technical solution, the environmental data collection module collects various environmental parameter data related to environmental health by arranging detection sensors, providing accurate data support for environmental health risk monitoring and early warning. Specifically, it collects and obtains data on health risk factors in the atmospheric environment, water environment, and soil environment.

[0069] Risk factors in the atmospheric environment include particulate matter, gaseous pollutants, and greenhouse gases;

[0070] Polluting particulate matter includes PM2.5 and PM10, which are harmful to the human respiratory and cardiovascular systems;

[0071] Gaseous pollutants include sulfur dioxide, nitrogen dioxide, and carbon monoxide, which have negative impacts on the environment and human health;

[0072] Greenhouse gases include carbon dioxide and methane, which cause global climate change, trigger extreme weather events, and affect human health;

[0073] Risk factors for the water environment include water pollution, water shortage, and soil erosion;

[0074] Water pollution includes industrial wastewater and domestic sewage, which pollute water bodies and affect aquatic life and human water safety;

[0075] Water scarcity includes water shortages caused by uneven distribution and overexploitation of water resources;

[0076] Soil loss includes soil erosion and land degradation, which causes damage to agricultural production and the ecological environment;

[0077] Risk factors of soil environment include soil pollution, soil erosion, and land desertification;

[0078] Soil pollution includes soil contamination caused by industrial waste, pesticides, and fertilizers, which affects the quality of agricultural products and ecological health;

[0079] Soil erosion includes soil erosion caused by external forces such as wind and water;

[0080] Land desertification includes land desertification caused by overgrazing and overcultivation, which threatens the ecological environment.

[0081] Based on the above technical solution, after obtaining the data of various environmental parameters, the environmental data collection module needs to convert the analog or digital signals output by the sensor into a data format that can be processed by the computer to ensure that the multi-source heterogeneous data are highly consistent.

[0082] Based on the above technical solution, the data collection and processing module receives the environmental parameter data related to environmental health collected by the environmental data collection module, and improves the data quality and transmission efficiency by cleaning, denoising and compressing the collected data;

[0083] After preprocessing the data, the data of different health risk influencing factors are separately classified and integrated. During the separate classification and integration, data outliers are deleted through detection and correction to ensure the accuracy and completeness of the data, and enable different types of influencing factor data to be effectively integrated to form a separate data set.

[0084] Based on the above technical solution, after the data is preliminarily processed and compressed, the data collection and processing module establishes a communication link for data processing through the built-in communication unit, and uses wireless network communication technology to enable the data to be accurately transmitted subsequently.

[0085] Based on the above technical solution, the cloud computing platform receives the processed data transmitted by the data collection and processing module, realizes the storage of massive data, and uses the powerful data processing capabilities of the cloud computing platform to achieve further distributed processing of data, and stores the data on health risk factors in the atmospheric environment, water environment and soil environment in a distributed storage manner;

[0086] At the same time, the cloud computing platform also includes data mining when processing data, specifically using statistical techniques and machine learning methods to extract useful information related to environmental health risk assessment from massive data;

[0087] Based on data mining, association analysis technology is used to discover the potential connections and patterns between various environmental health data, providing data support for subsequent risk warnings.

[0088] Based on the above technical solutions, the data comprehensive analysis module uses statistical analysis and machine learning techniques to conduct in-depth analysis of the processed data and analyze the impact of environmental factors on human health. Specifically, it quantifies the correlation between environmental factors and health diseases by extracting characteristics that affect health risks. Health risk assessment identifies environmental impacts by combining monitoring data and epidemiological studies.

[0089] Statistical analysis techniques use descriptive statistics and exploratory data analysis methods to understand the distribution characteristics and development trends of environmental data and identify potential environmental health risk factors;

[0090] Machine learning technology establishes multiple machine learning models to predict possible health risk trends in the future environment based on historical and current data. At the same time, it can also analyze long-term environmental health risk changes in the monitoring area based on periodic monitoring data to achieve long-term trend analysis.

[0091] Based on the above technical solution, after analyzing the potential impact of different environmental factors on human health, the data comprehensive analysis module also needs to determine the risk level. When determining the risk level, the level is divided according to the proportion of risk influencing factors. The higher the proportion, the more warning colors and the number, and the higher the risk level.

[0092] The specific grading rules are as follows:

[0093] When the particulate matter, gaseous pollutants and greenhouse gases in the atmospheric environment risk factors all affect human health, the system will issue a first-level alarm response when warning of atmospheric environment risk factors;

[0094] When any two of the risk factors in the atmospheric environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the atmospheric environment;

[0095] When any of the risk factors in the atmospheric environment have an impact on human health, the system will respond with a three-level alarm when warning of the risk factors in the atmospheric environment;

[0096] When water pollution, water shortage, and soil erosion among the risk factors of the water environment have an impact on human health, the system will issue a first-level alarm response when warning of the risk factors of the water environment;

[0097] When any two of the risk factors in the water environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the water environment;

[0098] When any of the risk factors in the water environment have an impact on human health, the system will respond with a three-level alarm when warning of the risk factors in the water environment;

[0099] When soil pollution, soil erosion, and land desertification, among the risk factors of the soil environment, affect human health, the system will issue a first-level alarm response when warning of the risk factors of the soil environment;

[0100] When any two of the risk factors in the soil environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the soil environment;

[0101] When any of the risk factors in the soil environment have an impact on human health, the system will issue a secondary alarm response when warning of the risk factors in the soil environment.

[0102] Based on the above technical solution, after analyzing and discovering potential environmental risks, the risk warning response module will promptly issue environmental risk warning information based on the analysis results, helping people take appropriate measures to prevent environmental risks. When issuing environmental risk warning information, it will mainly provide targeted warnings based on the influencing factors and the level of environmental risks.

[0103] Specifically, when risk factors in the atmospheric environment have an impact on human health, the system will issue a red warning; when risk factors in the water environment have an impact on human health, the system will issue a yellow warning; when risk factors in the soil environment have an impact on human health, the system will issue a blue warning.

[0104] Based on the above technical solution, when the risk warning response module issues targeted warnings for atmospheric environmental risk factors:

[0105] When the risk level of the atmospheric environment risk factors is level one, the system will respond with a level one alarm. In addition to the big red warning light, three small red warning lights will be added for a combined warning.

[0106] When the risk level of the atmospheric environment risk factor is level 2, the system will respond with a level 2 alarm. In addition to the big red warning light, two small red warning lights will be added for a combined warning.

[0107] When the risk level of the atmospheric environment risk factors is level three, the system will respond with a level three alarm. In addition to the big red warning light, a small red warning light will be added for warning.

[0108] When providing targeted early warnings for risk factors in the water environment:

[0109] When the risk level of the risk factors of the water environment is level one, the system will respond with a level one alarm. In addition to the warning light of the large yellow warning light, three small yellow warning lights will be added for a combined warning.

[0110] When the risk level of the risk factor of the water environment is level 2, the system will respond with a level 2 alarm. In addition to the warning light of the large yellow warning light, two small yellow warning lights will be added for a combined warning.

[0111] When the risk level of the risk factors of the water environment is level three, the system will respond with a level three alarm. On the basis of the large yellow warning light, a small yellow warning light will be added to the warning light.

[0112] When providing targeted early warnings on risk factors in the soil environment:

[0113] When the risk level of the soil environment risk factor is level one, the system will respond with a level one alarm. In addition to the large blue warning light, three small blue warning lights will be added for a combined warning.

[0114] When the risk level of the soil environment risk factor is level 2, the system will respond with a level 2 alarm. In addition to the large blue warning light, two small blue warning lights will be added for a combined warning.

[0115] When the risk level of the risk factors in the soil environment is level three, the system will respond with a level three alarm. In addition to the warning of the large blue warning light, a small blue warning light will be added for combined warning.

[0116] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A risk monitoring system based on environmental health, characterized by: Real-time monitoring and data collection of environmental parameters are carried out through sensing equipment. Environmental risks are identified and analyzed based on the monitoring data, and early warnings are issued for risks to human health. It includes environmental data collection module, collected data processing module, cloud computing platform, data comprehensive analysis module and risk warning response module; The environmental data collection module acquires environmental pollutants, health-related parameters and external environmental dynamic data in real time. The collected data processing module performs pre-processing operations on the collected data to improve data quality and transmission efficiency. The cloud computing platform provides elastic and scalable computing resources and services, and supports the storage and processing of massive data. The data comprehensive analysis module uses data analysis technology to conduct in-depth analysis of monitoring data to discover potential environmental risks and problems. The risk warning response module dynamically triggers warnings and links emergency measures based on the identification results of environmental risk factors.

2. The environmental health risk monitoring system according to claim 1, characterized in that: The environmental data collection module collects various environmental parameter data related to environmental health by arranging detection sensors, providing accurate data support for environmental health risk monitoring and early warning, specifically including the collection and acquisition of health risk influencing factors data in the atmospheric environment, water environment and soil environment; Risk factors in the atmospheric environment include particulate matter, gaseous pollutants, and greenhouse gases; Polluting particulate matter includes PM2.5 and PM10, which are harmful to the human respiratory and cardiovascular systems; Gaseous pollutants include sulfur dioxide, nitrogen dioxide, and carbon monoxide, which have negative impacts on the environment and human health; Greenhouse gases include carbon dioxide and methane, which cause global climate change, trigger extreme weather events, and affect human health; Risk factors for the water environment include water pollution, water shortage, and soil erosion; Water pollution includes industrial wastewater and domestic sewage, which pollute water bodies and affect aquatic life and human water safety; Water scarcity includes water shortages caused by uneven distribution and overexploitation of water resources; Soil loss includes soil erosion and land degradation, which causes damage to agricultural production and the ecological environment; Risk factors of soil environment include soil pollution, soil erosion, and land desertification; Soil pollution includes soil contamination caused by industrial waste, pesticides, and fertilizers, which affects the quality of agricultural products and ecological health; Soil erosion includes soil erosion caused by external forces such as wind and water; Land desertification includes land desertification caused by overgrazing and overcultivation, which threatens the ecological environment.

3. The environmental health risk monitoring system according to claim 2, characterized in that: After acquiring various environmental parameter data, the environmental data collection module needs to convert the analog or digital signals output by the sensor into a data format that can be processed by the computer to ensure that multi-source heterogeneous data have a high degree of consistency.

4. The environmental health risk monitoring system according to claim 1, characterized in that: The data collection processing module receives the environmental parameter data related to environmental health collected by the environmental data collection module, and improves the data quality and transmission efficiency by cleaning, denoising and compressing the collected data; After preprocessing the data, the data of different health risk influencing factors are separately classified and integrated. During the separate classification and integration, data outliers are deleted through detection and correction to ensure the accuracy and completeness of the data, and enable different types of influencing factor data to be effectively integrated to form a separate data set.

5. The environmental health risk monitoring system according to claim 4, characterized in that: After the data is preliminarily processed and compressed, the data acquisition processing module establishes a communication link for data processing through a built-in communication unit, and uses wireless network communication technology to enable the data to be accurately transmitted subsequently.

6. The environmental health risk monitoring system according to claim 1, characterized in that: The cloud computing platform receives the processed data transmitted by the data collection and processing module, realizes the storage of massive data, and uses the powerful data processing capabilities of the cloud computing platform to realize further distributed processing of the data, and stores the data of health risk factors in the atmospheric environment, water environment and soil environment in a distributed storage manner; At the same time, the cloud computing platform also includes data mining when processing data, specifically using statistical techniques and machine learning methods to extract useful information related to environmental health risk assessment from massive data; Based on data mining, association analysis technology is used to discover the potential connections and patterns between various environmental health data, providing data support for subsequent risk warnings.

7. The environmental health risk monitoring system according to claim 1, characterized in that: The data comprehensive analysis module uses statistical analysis and machine learning techniques to conduct in-depth analysis of the processed data and analyze the impact of environmental factors on human health. Specifically, it quantifies the correlation between environmental factors and health diseases by extracting characteristics that affect health risks. Health risk assessment identifies environmental impacts by combining monitoring data and epidemiological studies. Statistical analysis techniques use descriptive statistics and exploratory data analysis methods to understand the distribution characteristics and development trends of environmental data and identify potential environmental health risk factors; Machine learning technology establishes multiple machine learning models to predict possible health risk trends in the future environment based on historical and current data. At the same time, it can also analyze long-term environmental health risk changes in the monitoring area based on periodic monitoring data to achieve long-term trend analysis.

8. The environmental health risk monitoring system according to claim 7, characterized in that: After analyzing the potential impact of different environmental factors on human health, the data comprehensive analysis module also needs to determine the risk level. When determining the risk level, the level is divided according to the proportion of risk influencing factors. The higher the proportion, the more warning colors and the number, and the higher the risk level. The specific grading rules are as follows: When the particulate matter, gaseous pollutants and greenhouse gases in the atmospheric environment risk factors all affect human health, the system will issue a first-level alarm response when warning of atmospheric environment risk factors; When any two of the risk factors in the atmospheric environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the atmospheric environment; When any of the risk factors in the atmospheric environment have an impact on human health, the system will respond with a three-level alarm when warning of the risk factors in the atmospheric environment; When water pollution, water shortage, and soil erosion among the risk factors of the water environment have an impact on human health, the system will issue a first-level alarm response when warning of the risk factors of the water environment; When any two of the risk factors in the water environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the water environment; When any of the risk factors in the water environment have an impact on human health, the system will respond with a three-level alarm when warning of the risk factors in the water environment; When soil pollution, soil erosion, and land desertification, among the risk factors of the soil environment, affect human health, the system will issue a first-level alarm response when warning of the risk factors of the soil environment; When any two of the risk factors in the soil environment have an impact on human health, the system will respond with a secondary alarm when warning of the risk factors in the soil environment; When any of the risk factors in the soil environment have an impact on human health, the system will issue a secondary alarm response when warning of the risk factors in the soil environment.

9. The environmental health risk monitoring system according to claim 8, characterized in that: After analyzing and discovering potential environmental risks, the risk warning response module will promptly issue environmental risk warning information based on the analysis results to help take corresponding measures to prevent environmental risks. When issuing environmental risk warning information, it will mainly provide targeted warnings based on the influencing factors and levels of environmental risks. Specifically, when risk factors in the atmospheric environment have an impact on human health, the system will issue a red warning; when risk factors in the water environment have an impact on human health, the system will issue a yellow warning; when risk factors in the soil environment have an impact on human health, the system will issue a blue warning.

10. The environmental health risk monitoring system according to claim 9, characterized in that: When the risk warning response module issues targeted warnings for risk factors in the atmospheric environment: When the risk level of the atmospheric environment risk factors is level one, the system will respond with a level one alarm. In addition to the big red warning light, three small red warning lights will be added for a combined warning. When the risk level of the atmospheric environment risk factor is level 2, the system will respond with a level 2 alarm. In addition to the big red warning light, two small red warning lights will be added for a combined warning. When the risk level of the atmospheric environment risk factors is level three, the system will respond with a level three alarm. In addition to the big red warning light, a small red warning light will be added for warning. When providing targeted early warnings for risk factors in the water environment: When the risk level of the risk factors of the water environment is level one, the system will respond with a level one alarm. In addition to the warning light of the large yellow warning light, three small yellow warning lights will be added for a combined warning. When the risk level of the risk factor of the water environment is level 2, the system will respond with a level 2 alarm. In addition to the warning light of the large yellow warning light, two small yellow warning lights will be added for a combined warning. When the risk level of the risk factors of the water environment is level three, the system will respond with a level three alarm. On the basis of the large yellow warning light, a small yellow warning light will be added to the warning light. When providing targeted early warnings on risk factors in the soil environment: When the risk level of the soil environment risk factor is level one, the system will respond with a level one alarm. In addition to the large blue warning light, three small blue warning lights will be added for a combined warning. When the risk level of the soil environment risk factor is level 2, the system will respond with a level 2 alarm. In addition to the large blue warning light, two small blue warning lights will be added for a combined warning. When the risk level of the risk factors in the soil environment is level three, the system will respond with a level three alarm. In addition to the warning of the large blue warning light, a small blue warning light will be added for combined warning.

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