Food safety risk assessment system and method

Abstract

The invention discloses a food safety risk assessment system and method, and relates to the technical field of food safety, the system comprises the following components: an environmental data collection and analysis module, a food safety risk monitoring and assessment module, a health influence assessment module and a comprehensive assessment and decision support module; by integrating environment monitoring and food safety detection technologies, environment factors are incorporated into a food safety risk assessment system, comprehensive and dynamic assessment of food safety risks is realized, the deep fusion assessment mode can more accurately identify the indirect influence of environment transition on the whole chain of food production, processing, storage, transportation and the like, and the food safety risk assessment method is more accurate. Therefore, food safety problems caused by environmental factors are effectively prevented and controlled, more accurate data support is provided for government supervision departments, and making of more reasonable food safety policies and supervision measures is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of food safety, and in particular to a food safety risk assessment system and method. Background Art

[0002] With the rapid advancement of industrialization and urbanization, climate change and environmental pollution issues are becoming increasingly prominent around the world, posing severe challenges to natural ecosystems and human health. Food, as the basis of human survival, is directly related to public health and well-being. Therefore, food safety assessment and management has become an important global issue. With the advancement of science and technology, the methods and means of food safety risk assessment are also constantly being updated and improved to meet the increasingly complex food safety challenges.

[0003] The traditional food safety risk assessment system mainly focuses on the contamination of food itself, such as direct factors such as microbial contamination and chemical residues, and evaluates the potential hazards of these factors through laboratory testing and analysis. However, this assessment method often ignores the full-chain impact of environmental factors on food safety. Extreme weather events, deteriorating air quality, and water pollution caused by climate change may indirectly affect the production, processing, storage and transportation of food, thereby increasing food safety risks. In addition, the traditional assessment system is also insufficient in predicting the long-term and short-term impacts of food safety risks on human health, making it difficult to provide comprehensive and scientific decision-making support for government regulatory agencies, food production companies and consumers.

[0004] In response to the above problems, it is necessary to optimize the existing food safety risk assessment system and methods. By integrating environmental monitoring, food safety testing, health impact assessment and big data analysis technology, a deep integration and comprehensive assessment of environmental factors and food safety risks can be achieved. Therefore, it is of great significance to develop a food safety risk assessment system and method that can comprehensively realize the above characteristics. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the existing technology and provide a food safety risk assessment system and method, which can realize the deep integration and comprehensive assessment of environmental factors and food safety risks by integrating advanced technologies such as environmental monitoring, food safety testing, health impact assessment and big data analysis. By dynamically monitoring environmental changes and accurately assessing food safety risks and their potential impact on human health, the present invention provides a more scientific basis for policy formulation for government regulatory authorities and risk prevention and control guidance for food production companies, while also enhancing consumers' self-protection awareness. This innovative assessment system and method are of great significance for improving the level of food safety management, protecting the health of the people, and promoting the sustainable development of the food industry.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: On the one hand, a food safety risk assessment system comprises the following components: an environmental data collection and analysis module, a food safety risk monitoring and assessment module, a health impact assessment module and a comprehensive assessment and decision support module;

[0007] The environmental data collection and analysis module designs and deploys an environmental sensor network to monitor environmental indicators of climate change, air quality and water pollution in real time, integrates data from different sources to form a unified data set, and uses algorithms to identify environmental risk factors that affect food safety;

[0008] The food safety risk monitoring and assessment module combines environmental risk factors to dynamically monitor the entire chain of food from farmland to table, and uses rapid detection technology to detect the content of harmful substances in food and assess its potential hazards. At the same time, a food safety risk early warning model is established to predict the food safety risk level based on environmental data and food safety test results. If the risk level reaches the preset threshold, the early warning mechanism is immediately triggered and early warning information is sent to relevant departments or personnel;

[0009] The health impact assessment module collects and analyzes historical cases of actual impacts of food safety incidents on human health, and constructs a health impact assessment model based on physiology and toxicology to simulate the long-term and short-term impacts of different food safety risk factors on human health. Based on the assessment results, it provides customized health risk warnings and suggestions for different groups of people.

[0010] The comprehensive assessment and decision support module integrates environmental data, food safety risk monitoring results and health impact assessment results, uses algorithms to calculate the overall level of food safety risk, and forms a comprehensive food safety risk assessment report. Based on the assessment report, it provides policy-making recommendations to government regulatory authorities.

[0011] The food safety risk monitoring and assessment module establishes a food safety risk early warning model to predict the food safety risk level based on environmental data and food safety test results. The algorithm formula of the model is: Among them, E i Represents different specific environmental factor index values, Represents the weight of the corresponding environmental factor index, F j Represents different food safety test result index values, Represents the weight of the corresponding food safety test result indicator;

[0012] The health impact assessment module constructs a health impact assessment model based on physiology and toxicology to simulate the long-term and short-term effects of different food safety risk factors on human health. The algorithm formula of the model is: Among them, R i Represents the exposure to different food safety risk factors, P i represents the toxicity parameter of the risk factor, T i Represents exposure time factors, including short-term and long-term, I ij represents the interaction coefficient between different risk factors;

[0013] The comprehensive assessment and decision support module integrates environmental data, food safety risk monitoring results and health impact assessment results, and uses an algorithm to calculate the overall level of food safety risk. The algorithm formula is: R total =w E ×R E +w F ×R F +w H ×R H , where R E is the comprehensive risk value of environmental data, R F is the comprehensive risk value of food safety risk monitoring results, R H It is the comprehensive risk value of the health impact assessment results.

[0014] Furthermore, the climate change indicators include temperature, humidity and extreme weather, the air quality indicators include PM2.5 and SO2 pollutant concentrations, and the water pollution indicators include heavy metals and pesticide residues.

[0015] Furthermore, the environmental data collection and analysis module uses an algorithm to identify environmental risk factors that affect food safety, and the algorithm formula is: Among them, P i Represents specific environmental indicator values, including environmental parameter measurements of temperature, humidity, and pollutant concentration, S i Represents the sensitivity coefficient of the environmental indicator, reflecting the sensitivity of different environmental indicators to food safety. i represents the interaction coefficient of the environmental indicator, and n is the number of environmental indicators considered.

[0016] Furthermore, the food safety risk monitoring and assessment module combines environmental risk factors to dynamically monitor the entire chain of food from farmland to table, including planting, breeding, processing, packaging, transportation and sales.

[0017] Furthermore, the food safety risk monitoring and assessment module uses rapid detection technology to detect harmful substances in food, and the harmful substances include: microorganisms, chemical substances and heavy metal substances.

[0018] Furthermore, the food safety risk monitoring and assessment module uses rapid detection technology to detect the content of microorganisms, chemicals and heavy metals in food, and the specific steps of assessing their potential hazards are:

[0019] (1) Select enzyme-linked immunosorbent assay (ELISA) to extract, amplify, and detect processed samples according to testing requirements to quickly identify and quantify the microbial content in food;

[0020] (2) Use spectral analysis to conduct qualitative and quantitative analysis of chemical substances in food, place the processed samples in the testing instrument, perform the test according to the instrument's operating instructions, and record and analyze the test results;

[0021] (3) Use inductively coupled plasma mass spectrometry to accurately measure the heavy metal content in food. Similarly, place the treated sample in the detection instrument, perform the test according to the instrument's operating procedures, and record the test results;

[0022] (4) Compare and analyze the data on microbial, chemical and heavy metal content obtained from the test with the food safety standards to determine the compliance of each indicator and identify potential hazards in food based on the test results and the food safety knowledge base.

[0023] Furthermore, the comprehensive assessment and decision support module integrates environmental data, food safety risk monitoring results and health impact assessment results, and uses an algorithm to calculate the overall level of food safety risk. In the algorithm formula, the comprehensive risk value of environmental data Among them, E i,std is environmental data, is the environmental data weight, the comprehensive risk value of food safety risk monitoring results Among them, F j,std is the result of food safety risk monitoring. is the weight of the monitoring results and the comprehensive risk value of the health impact assessment results Among them, H k,std is the result of the health impact assessment, is the weight of the evaluation result.

[0024] In another aspect, a food safety risk assessment method is provided, the method comprising the following specific steps:

[0025] Environmental data collection and risk identification: Design and deploy environmental sensor networks to monitor key environmental indicators in real time, including climate change, air quality, and water pollution. Use algorithms to process the collected environmental data and identify environmental risk factors that may have potential impacts on food safety.

[0026] Food safety risk monitoring: Dynamically monitor the entire food production chain, use rapid testing technology to detect the content of microorganisms, chemicals and heavy metals in food, and combine environmental risk factors to assess the potential safety risks of food at different production stages;

[0027] Health impact assessment: Build a database on the association between food safety risks and health effects, collect and analyze historical cases of actual impacts of food safety incidents on human health, use bioinformatics methods to assess the long-term and short-term impacts of different food safety risks on human health, and conduct differentiated health impact assessments taking into account the physiological characteristics and sensitivity of different populations;

[0028] Comprehensive risk assessment and early warning: Comprehensively analyze environmental data, food safety risk monitoring results and health impact assessment results, build a food safety risk assessment model, use the model to predict the food safety risk level, and set early warning thresholds. When the risk exceeds the threshold, the early warning mechanism is automatically triggered;

[0029] Decision support and information release: Provide policy-making recommendations to government regulatory authorities based on comprehensive risk assessment results.

[0030] Compared with the prior art, this food safety risk assessment system and method has the following beneficial effects:

[0031] 1. The present invention integrates environmental monitoring and food safety testing technologies, incorporates environmental factors into the food safety risk assessment system, and realizes a comprehensive and dynamic assessment of food safety risks. This deeply integrated assessment method can more accurately identify the indirect impact of environmental changes on the entire chain of food production, processing, storage and transportation, thereby effectively preventing and controlling food safety problems caused by environmental factors, providing more accurate data support for government regulatory authorities, and helping to formulate more reasonable food safety policies and regulatory measures.

[0032] 2. The present invention uses bioinformatics methods to evaluate the long-term and short-term impacts of food safety risks on human health. It can not only provide customized health risk warnings and suggestions for different groups of people, but also establish a food safety risk early warning model based on environmental data and food safety test results to predict and warn of potential safety risks in advance. This early warning mechanism helps food production companies take timely measures, optimize production processes, and improve quality control systems, thereby reducing food safety risks.

[0033] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 is a schematic diagram of a food safety risk assessment system;

[0036] Figure 2 The figure is a flow chart of a food safety risk assessment method. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Embodiment 1

[0039] This embodiment describes in detail the specific application of a food safety risk assessment system and method in an agricultural product production base, aiming to achieve a comprehensive, dynamic and accurate assessment of food safety risks by integrating advanced technologies such as environmental monitoring, food safety testing, health impact assessment and big data analysis.

[0040] First, various environmental sensors are installed in the farmland, processing plants, warehouses, transport vehicles and surrounding areas of the production base, including but not limited to temperature and humidity sensors, weather stations, air quality monitoring stations, water quality monitoring stations, etc. These sensors collect key environmental indicator data such as temperature, humidity, wind speed, rainfall, PM2.5 concentration, SO2 concentration, heavy metal content, etc. in real time, and transmit the data collected by the sensors to the data center through wireless communication technology (such as LoRa, NB-IoT, etc.). In the data center, the big data processing platform (such as Hadoop, Spark) is used to clean, remove duplicates, convert formats and other pre-processing work to ensure the accuracy and consistency of the data, and the algorithm is used to conduct in-depth analysis of the pre-processed environmental data to identify environmental risk factors that may affect the safety of agricultural products. The algorithm formula is: Among them, P i Represents specific environmental indicator values, including environmental parameter measurements of temperature, humidity, and pollutant concentration, S i Represents the sensitivity coefficient of the environmental indicator, reflecting the sensitivity of different environmental indicators to food safety. i represents the interaction coefficient of the environmental indicator, and n is the number of environmental indicators considered.

[0041] Secondly, from the beginning of farmland planting to processing, packaging, transportation, sales and other links, corresponding food safety monitoring equipment is deployed. For example, drones are used in farmland to monitor pests and diseases and check the use of pesticides. Rapid testing laboratories are set up in processing plants to test raw materials and finished products for microorganisms, chemicals and heavy metals. The Internet of Things technology is used to track vehicle location, temperature and humidity and other parameters during transportation. Sampling points are set up at the sales end to ensure the safety of the final product. Based on environmental data and food safety test results, a food safety risk warning model is established through algorithms. The model can comprehensively consider multiple factors (such as environmental changes, crop growth cycle, processing technology, etc.), predict the food safety risk level, and issue a warning signal when the risk reaches the preset threshold. The algorithm formula of the model is: Among them, E i Represents different specific environmental factor index values, Represents the weight of the corresponding environmental factor index, F j Represents different food safety test result index values, Represents the weight of the corresponding food safety test result indicator.

[0042] Then, we collect and analyze historical cases of actual impacts of food safety incidents on human health, and build a database associating food safety risks and health effects. The database includes basic information of the affected population (such as age, gender, health status), exposure routes, exposure doses, symptoms, treatment conditions, and long-term follow-up results. We use bioinformatics, epidemiology and other methods to conduct a health risk assessment of this or similar food safety incidents. The assessment content includes but is not limited to: short-term health risks (such as the incidence and severity of food poisoning), long-term health risks (such as the incidence of cancer and chronic diseases), sensitivity of specific populations (such as children, the elderly, and pregnant women), etc. Based on the assessment results, we provide customized health risk warnings and suggestions for government regulatory departments, food production companies, and consumers. For example, we recommend that the government strengthen the supervision of relevant foods, that companies improve production processes and reduce harmful substance residues, and that consumers avoid eating high-risk foods or take appropriate preventive measures.

[0043] Finally, the environmental data, food safety risk monitoring results and health impact assessment results are integrated, and the overall level of food safety risk is calculated using an algorithm. The algorithm formula is: R total =w E ×R E +w F ×R F +w H ×R H In the algorithm formula, the comprehensive risk value of environmental data is Among them, E i,std is environmental data, is the environmental data weight, the comprehensive risk value of food safety risk monitoring results Among them, F j,std is the result of food safety risk monitoring. is the weight of the monitoring results and the comprehensive risk value of the health impact assessment results Among them, H k,std is the result of the health impact assessment, It is the weight of the evaluation results. Based on the overall level, a comprehensive food safety risk assessment report is formed, which comprehensively reflects the food safety status and its potential impact on human health. Based on the evaluation report, it provides policy-making recommendations for government regulatory departments, such as formulating stricter food safety standards, strengthening environmental supervision, etc. It also provides risk prevention and control guidance for food production companies, helps them optimize production processes, improve quality control systems, release food safety information to the public, and enhance consumers' self-protection awareness.

[0044] In summary, this embodiment achieves a comprehensive, dynamic and accurate assessment of food safety risks, and provides a strong scientific basis and decision-making support for governments, enterprises and consumers.

[0045] Embodiment 2

[0046] Based on the first embodiment, this embodiment describes in detail a specific application of a health impact assessment module in a food safety risk assessment system and method when a video is detected to contain harmful substances.

[0047] First, the health impact assessment module quickly retrieved and retrieved all historical case data on health problems caused by heavy metal contaminated food through its built-in food safety risk and health effect association database. These data cover the basic information of the affected population (such as age, gender), health status, specific symptoms, treatment process and subsequent health tracking results, etc., providing valuable reference for this assessment. The targeted assessment model is constructed. Combined with the specific circumstances of this incident, such as the type of heavy metals, degree of pollution, type of vegetables and consumption patterns, as well as the specific characteristics of the affected population (such as age distribution, gender ratio, basic disease status, etc.), the assessment module uses advanced algorithms and model building techniques to construct a highly targeted health impact assessment model. The algorithm formula of the model is: Among them, R i Represents the exposure to different food safety risk factors, P i represents the toxicity parameter of the risk factor, T i Represents exposure time factors, including short-term and long-term, I ij Represents the interaction coefficient between different risk factors. The model aims to accurately predict the potential impact of heavy metal pollution on human health.

[0048] Secondly, using bioinformatics tools and methods, the evaluation module deeply analyzes the absorption, distribution, metabolism and excretion mechanisms of heavy metals in the human body. By simulating the behavioral pathways of heavy metals in various organ systems of the human body, it predicts their potential toxic effects on different tissues and organs and the pathological changes that may be caused. For short-term impact assessment: combined with epidemiological survey data, the evaluation module conducts a comprehensive analysis of the acute poisoning symptoms caused by heavy metal pollution, including key indicators such as the incidence, onset time, duration, severity and recovery of poisoning symptoms. Through statistical analysis and model prediction, it provides the government and medical institutions with a scientific basis for emergency treatment and intervention. For long-term impact prediction: in response to the risk of chronic diseases that may be caused by heavy metal pollution, the evaluation module simulates the long-term accumulation of heavy metals in the human body and its chronic damage to various systems of the human body by constructing a long-term exposure model, predicts possible types of chronic diseases such as kidney damage and nervous system diseases, and evaluates the incidence, mortality and development trends of these diseases in different populations.

[0049] Finally, based on the above in-depth analysis and prediction results, the health impact assessment module provides government regulatory authorities with a detailed health risk warning report, which includes health monitoring priorities for the affected population, emergency treatment measures, long-term follow-up plans, and public health policy adjustment recommendations, etc., aiming to minimize the negative impact of the incident on public health. At the same time, the assessment module also releases targeted health warning information to the public through official channels, reminding consumers to pay attention to food safety information, avoid purchasing and eating potentially contaminated vegetables, pay attention to personal health monitoring and seek medical treatment in a timely manner, etc., aiming to enhance the public's awareness of food safety and reduce the risk of similar incidents occurring again.

[0050] In summary, this embodiment demonstrates in detail the specific application process of the health impact assessment module. By retrieving historical case data, building a targeted assessment model, and using bioinformatics methods and epidemiological survey data for in-depth analysis and prediction, it not only accurately assesses the short-term and long-term impact of this incident on human health, but also provides comprehensive and scientific health risk warnings and response suggestions for government regulatory agencies, the public and food production companies.

[0051] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A food safety risk assessment system, characterized in that: The system includes the following components: environmental data collection and analysis module, food safety risk monitoring and assessment module, health impact assessment module and comprehensive assessment and decision support module; The environmental data collection and analysis module designs and deploys an environmental sensor network to monitor environmental indicators of climate change, air quality and water pollution in real time, integrates data from different sources to form a unified data set, and uses algorithms to identify environmental risk factors that affect food safety; The food safety risk monitoring and assessment module combines environmental risk factors to dynamically monitor the entire chain of food from farmland to table, and uses rapid detection technology to detect the content of harmful substances in food and assess its potential hazards. At the same time, a food safety risk early warning model is established to predict the food safety risk level based on environmental data and food safety test results. If the risk level reaches the preset threshold, the early warning mechanism is immediately triggered and early warning information is sent to relevant departments or personnel; The health impact assessment module collects and analyzes historical cases of actual impacts of food safety incidents on human health, and constructs a health impact assessment model based on physiology and toxicology to simulate the long-term and short-term impacts of different food safety risk factors on human health. Based on the assessment results, it provides customized health risk warnings and suggestions for different groups of people. The comprehensive assessment and decision support module integrates environmental data, food safety risk monitoring results and health impact assessment results, uses algorithms to calculate the overall level of food safety risk, and forms a comprehensive food safety risk assessment report. Based on the assessment report, it provides policy-making recommendations to government regulatory authorities.

2. A food safety risk assessment system according to claim 1, characterized in that: The climate change indicators include temperature, humidity and extreme weather; the air quality indicators include PM2.5 and SO2 pollutant concentrations; and the water pollution indicators include heavy metals and pesticide residues.

3. A food safety risk assessment system according to claim 1, characterized in that: The environmental data collection and analysis module uses an algorithm to identify environmental risk factors that affect food safety. The algorithm formula is: Among them, P i Represents specific environmental indicator values, including environmental parameter measurements of temperature, humidity, and pollutant concentration, S i Represents the sensitivity coefficient of the environmental indicator, reflecting the sensitivity of different environmental indicators to food safety. i represents the interaction coefficient of the environmental indicator, and n is the number of environmental indicators considered.

4. A food safety risk assessment system according to claim 1, characterized in that: The food safety risk monitoring and assessment module combines environmental risk factors to dynamically monitor the entire food chain from farmland to table, including planting, breeding, processing, packaging, transportation and sales, and uses rapid detection technology to detect harmful substances in food, including microorganisms, chemicals and heavy metals.

5. A food safety risk assessment system according to claim 4, characterized in that: The food safety risk monitoring and assessment module uses rapid detection technology to detect the content of microorganisms, chemicals and heavy metals in food. The specific steps for assessing their potential hazards are as follows: (1) Select enzyme-linked immunosorbent assay (ELISA) to extract, amplify, and detect processed samples according to testing requirements to quickly identify and quantify the microbial content in food; (2) Use spectral analysis to conduct qualitative and quantitative analysis of chemical substances in food, place the processed samples in the testing instrument, perform the test according to the instrument's operating instructions, and record and analyze the test results; (3) Use inductively coupled plasma mass spectrometry to accurately measure the heavy metal content in food. Similarly, place the treated sample in the detection instrument, perform the test according to the instrument's operating procedures, and record the test results; (4) Compare and analyze the data on microbial, chemical and heavy metal content obtained from the test with the food safety standards to determine the compliance of each indicator and identify potential hazards in food based on the test results and the food safety knowledge base.

6. A food safety risk assessment system according to claim 1, characterized in that: The food safety risk monitoring and assessment module establishes a food safety risk early warning model to predict the food safety risk level based on environmental data and food safety test results. The algorithm formula of the model is: R = Among them, E i Represents different specific environmental factor index values, Represents the weight of the corresponding environmental factor index, F j Represents different food safety test result index values, Represents the weight of the corresponding food safety test result indicator.

7. A food safety risk assessment system according to claim 1, characterized in that: The health impact assessment module constructs a health impact assessment model based on physiology and toxicology to simulate the long-term and short-term effects of different food safety risk factors on human health. The algorithm formula of the model is: Among them, R i Represents the exposure to different food safety risk factors, P i represents the toxicity parameter of the risk factor, T i Represents exposure time factors, including short-term and long-term, I ij Represents the interaction coefficient between different risk factors.

8. A food safety risk assessment system according to claim 1, characterized in that: The comprehensive assessment and decision support module integrates environmental data, food safety risk monitoring results and health impact assessment results, and uses an algorithm to calculate the overall level of food safety risk. The algorithm formula is: R total =w E ×R E +w F ×R F +w H ×R H , where R E is the comprehensive risk value of environmental data, R F is the comprehensive risk value of food safety risk monitoring results, R H It is the comprehensive risk value of the health impact assessment results.

9. A food safety risk assessment system according to claim 1, characterized in that: The comprehensive assessment and decision support module integrates environmental data, food safety risk monitoring results and health impact assessment results, and uses an algorithm to calculate the overall level of food safety risk. In the algorithm formula, the comprehensive risk value of environmental data Among them, E i,std is environmental data, is the environmental data weight, the comprehensive risk value of food safety risk monitoring results Among them, F j,std is the result of food safety risk monitoring. is the weight of the monitoring results and the comprehensive risk value of the health impact assessment results Among them, H k,std is the result of the health impact assessment, is the weight of the evaluation result.

10. A food safety risk assessment method, which is applicable to a food safety risk assessment system according to any one of claims 1 to 9, characterized in that: The method comprises the following specific steps: Environmental data collection and risk identification: Design and deploy environmental sensor networks to monitor key environmental indicators in real time, including climate change, air quality, and water pollution. Use algorithms to process the collected environmental data and identify environmental risk factors that may have potential impacts on food safety. Food safety risk monitoring: Dynamically monitor the entire food production chain, use rapid testing technology to detect the content of microorganisms, chemicals and heavy metals in food, and combine environmental risk factors to assess the potential safety risks of food at different production stages; Health impact assessment: Build a database on the association between food safety risks and health effects, collect and analyze historical cases of actual impacts of food safety incidents on human health, use bioinformatics methods to assess the long-term and short-term impacts of different food safety risks on human health, and conduct differentiated health impact assessments taking into account the physiological characteristics and sensitivity of different populations; Comprehensive risk assessment and early warning: Comprehensively analyze environmental data, food safety risk monitoring results and health impact assessment results, build a food safety risk assessment model, use the model to predict the food safety risk level, and set early warning thresholds. When the risk exceeds the threshold, the early warning mechanism is automatically triggered; Decision support and information release: Provide policy-making recommendations to government regulatory authorities based on comprehensive risk assessment results.

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