A method and system for public data open sharing based on blockchain

Abstract

The present invention discloses a method and system for public data openness and sharing based on blockchain, and relates to the technical field of data openness and sharing. The public data openness and sharing method based on blockchain obtains the number of residents in the urban area and stores environmental data in the blockchain database, calculates the health impact index and health risk index of air pollution and noise pollution through smart contracts, integrates data of each age range to obtain a comprehensive health risk index, divides the risk level according to the risk index and marks it, and finally opens query and access functions through public ports to realize data sharing and utilization. The present invention stores data such as the number of residents in the area and the amount of polluted gas emissions in the blockchain database in the form of timestamps, and realizes automatic processing through smart contracts, thereby avoiding errors caused by human intervention, providing full-process tracking capabilities, and significantly improving the credibility of data management compared to centralized storage.

Description

Technical Field

[0001] The present invention relates to the technical field of data openness and sharing, and specifically to a method and system for public data openness and sharing based on blockchain. Background Art

[0002] With the development of big data and information technology, the importance of public data in social governance, scientific research and public services has become increasingly prominent. Public data includes environmental monitoring data, demographic data, traffic flow data, etc. These data are of great significance for analyzing the current status of regional development, formulating policies and optimizing resource allocation. However, the existing public data management and sharing mechanisms have many shortcomings and cannot meet the needs of modern governance. These shortcomings mainly include data silos, lack of credibility, weak privacy protection and low utilization. These problems make it difficult to efficiently integrate and share data between different departments and fields. At the same time, since the authenticity of data is difficult to guarantee, the research value and decision-making support capabilities of public data are greatly reduced. In addition, the security of traditional systems is insufficient, and sensitive data faces the risk of leakage, which further hinders the open sharing of data.

[0003] Blockchain technology, with its characteristics of decentralization, immutability and transparency, provides new ideas for solving problems in public data management. Through distributed storage, smart contracts and traceability mechanisms, blockchain technology can significantly improve the reliability, credibility and transparency of data storage, while realizing the automated execution of data sharing rules. Introducing blockchain technology into the open sharing of public data can not only enhance data security and privacy protection, but also promote the efficient use of multi-level data, providing strong support for smart city construction, environmental governance and public services.

[0004] The limitations of the existing technology include at least the following problems. First, in the existing technology, most public health and environmental monitoring data management methods are limited to independent regional statistics and simple parameter analysis, lacking a comprehensive analysis of the specific environmental factors and residents' health impacts in urban areas. In particular, for dynamically changing data such as pollutant gas emissions and noise levels, they often only stay at the evaluation of a single indicator, and do not conduct in-depth research on the health risks of residents in different age groups, which can easily lead to deviations between the calculation results of the health risk index and the actual health status of residents, and thus it is difficult to accurately reflect the health risk level of urban areas. Secondly, in the existing technology, data sharing and transparency are insufficient, usually relying on centralized data storage and management methods, which can easily lead to data tampering or omissions, thereby affecting the credibility of the results. This limitation restricts the extensive use of data by research institutions and the public, and it is difficult to provide sufficiently reliable data support for public policy making. In addition, the existing technology fails to make full use of the absorption and mitigation effects of existing green areas for pollutant analysis, and ignores the differential evaluation of the health impacts of air pollution and noise pollution in different regional greening levels. As a result, it is easy to lead to an overly one-sided health impact analysis and fail to accurately reflect the potential value of green space in improving environmental quality and reducing health risks. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a method and system for public data openness and sharing based on blockchain, which solves the problem that most public health and environmental monitoring data management methods in the prior art are limited to independent regional statistics and simple parameter analysis, and lack a comprehensive analysis of the impact of specific environmental factors and residents' health in urban areas. In particular, for dynamically changing data such as pollutant gas emissions and noise levels, they often only stay at the evaluation of a single indicator, and do not conduct in-depth research on the health risks of residents in different age groups, which easily leads to deviations between the calculation results of the health risk index and the actual health status of residents, making it difficult to accurately reflect the health risk level of urban areas, thereby Secondly, existing technologies lack data sharing and transparency, and usually rely on centralized data storage and management methods, which can easily lead to data tampering or omissions, thereby affecting the credibility of the results. This limitation restricts the extensive use of data by research institutions and the public, and it is difficult to provide sufficiently reliable data support for public policy making. In addition, existing technologies fail to fully utilize the absorption and mitigation effects of existing green areas for pollutant analysis, and ignore the differential assessment of the health effects of air pollution and noise pollution in different regions due to greening levels. As a result, the health impact analysis is easily overly one-sided and fails to accurately reflect the potential value of green space in improving environmental quality and reducing health risks.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for open sharing of public data based on blockchain, comprising the following steps: obtaining the total number of regional residents in each urban area, and dividing the number of people according to preset age ranges, obtaining the number of regional residents in each age range of each urban area, and storing them in the blockchain database; continuously obtaining public environmental data of several time periods of each urban area, and storing them in the blockchain database, the public environmental data including the emission of each pollutant gas and each noise level value; in the blockchain database, based on a preset smart contract, comprehensively analyzing the public environmental data of several time periods of each urban area in combination with each age range, obtaining the air pollution resident health impact index and the noise pollution resident health impact index for each age range of each urban area, and combining them with the number of regional residents in each age range. A comprehensive analysis is performed to obtain an interval health risk index for each age range in each urban area, and the air pollution resident health impact index, noise pollution resident health impact index, and interval health risk index for each age range in each urban area are stored separately; a comprehensive analysis is performed on the interval health risk index for each age range in each urban area in the blockchain database to obtain a comprehensive health risk index for each urban area, and the index is stored; in the blockchain database, the comprehensive health risk index of each urban area is compared and divided with a preset health risk assessment interval to obtain a health risk level for each urban area, and the health risk assessment intervals are marked and stored separately, wherein the health risk assessment intervals include a first health risk assessment interval and a second health risk assessment interval; the data stored in the blockchain database is marked as open data, and users are allowed to query and access the data through a preset public port.

[0007] Furthermore, the specific formula for calculating the comprehensive health risk index of each urban area is as follows: ;in, For the The comprehensive health risk index of the urban area, For the The city area The health risk index for each age range is For the The city area The health risk factor for each age range is =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, is a natural constant.

[0008] Furthermore, in the blockchain database, based on the preset smart contract, the public environmental data of several time periods of each urban area are comprehensively analyzed in combination with each age range, and the specific steps for obtaining the air pollution resident health impact index for each age range in each urban area are as follows: obtain the pollutant gas absorption rate value per unit green area for each pollutant gas, the resident pollutant gas absorption rate for each pollutant gas in each age range, the green area value of each urban area, and the average outdoor time value of residents in each age range; comprehensively analyze the pollutant gas absorption rate value per unit green area for each pollutant gas, the green area value of each urban area, and the emission of each pollutant gas in each time period to obtain the actual emission of each pollutant gas in each time period of each urban area; and comprehensively analyze the actual emission of each pollutant gas in each time period of each urban area with the resident pollutant gas absorption rate for each pollutant gas in each age range and the average outdoor time value of residents in each age range of each urban area to obtain the air pollution resident health impact index for each age range in each urban area.

[0009] Furthermore, the specific formula for calculating the actual emission of each pollutant gas in each period of each urban area and the health impact index of air pollution residents in each age range is as follows: ;in, For the The city area The first The actual emission of polluting gases, For the The city area The first The amount of polluting gas emissions, For the The green area value of the urban area, For the The pollutant gas absorption rate per unit green area of ​​each pollutant gas is For the The city area Air pollution health impact index for residents in different age groups, For the The age range The residential pollution gas absorption rate of the pollutant gas, For the The city area The average time spent outside by residents in each age group is For the The city area The number of people living in the area in each age range, =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, =1, 2, 3, ..., , is the number of time periods, =1, 2, 3, ..., , Types of polluting gases.

[0010] Furthermore, in the blockchain database, based on the preset smart contract, the public environmental data of several time periods of each urban area are comprehensively analyzed in combination with each age range to obtain the noise pollution resident health impact index for each age range in each urban area. The specific steps are as follows: respectively obtain the sound absorption coefficient per unit green area for each noise and the resident noise absorption rate for each noise in each age range; comprehensively analyze the sound absorption coefficient per unit green area for each noise, the green area value of each urban area and the value of each noise level in each time period to obtain the noise attenuation index of each urban area; comprehensively analyze the noise attenuation index of each urban area, the number of residents in each age range and the value of each noise level in each time period to obtain the noise pollution resident health impact index for each age range in each urban area.

[0011] Furthermore, the specific formulas for calculating the noise attenuation index of each urban area and the health impact index of noise pollution residents in each age range are as follows: ;in, For the The noise attenuation index of the urban area, For the The city area The first The noise level value, For the The city area The first The noise level value, For the The green area value of the urban area, For the The sound absorption coefficient per unit green area of ​​this noise is For the The city area Noise pollution health impact index for residents in different age groups, For the The city area The age range The noise absorption rate of residents of this type of noise, For the The city area The number of people living in the area in each age range, =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, =1, 2, 3, ..., , is the number of time periods, =1, 2, 3, ..., , The noise type.

[0012] Furthermore, the specific steps for obtaining the interval health risk index for each age range in each urban area are as follows: read the air pollution resident health impact index and the noise pollution resident health impact index for each age range in each urban area, and normalize them; comprehensively analyze the normalized air pollution resident health impact index and the noise pollution resident health impact index for each age range in each urban area to obtain the interval health risk index for each age range in each urban area.

[0013] Furthermore, the specific formula for calculating the interval health risk index for each age range in each urban area is as follows: ;in, For the The city area The health risk index of each age range, After normalization The city area Air pollution health impact index for residents in different age groups, For the The city area The air pollution coefficient for each age group, After normalization The city area Noise pollution health impact index for residents in different age groups, For the The city area The air noise coefficient for each age range is =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, is a natural constant.

[0014] Furthermore, the specific steps of obtaining the health risk level of each urban area and marking them separately are as follows: comparing and analyzing the comprehensive health risk index of each urban area with the preset first health risk assessment interval and the second health risk assessment interval; marking the urban areas whose comprehensive health risk index is lower than the first health risk assessment interval as low-risk environmental areas; marking the urban areas whose comprehensive health risk index is within the first health risk assessment interval as low- and low-risk environmental areas; marking the urban areas whose comprehensive health risk index is higher than the first health risk assessment interval and lower than the second health risk assessment interval as medium-risk environmental areas; marking the urban areas whose comprehensive health risk index is within the second health risk assessment interval as high-risk environmental areas; marking the urban areas whose comprehensive health risk index is higher than the second health risk assessment interval as high-risk environmental areas.

[0015] A public data open sharing system based on blockchain, comprising: an interval division module, a data acquisition module, a data analysis module, a comprehensive analysis module, a risk marking module, and an open sharing module; the interval division module is used to obtain the total number of regional residents in each urban area, and divide the number of people according to preset age intervals, obtain the number of regional residents in each age interval of each urban area, and store it in a blockchain database; the data acquisition module is used to continuously obtain public environmental data of several time periods in each urban area, and store it in the blockchain database, the public environmental data includes each type of pollutant gas emission and each type of noise level value; the data analysis module is used to perform a comprehensive analysis on the public environmental data of several time periods in each urban area in combination with each age interval based on a preset smart contract in the blockchain database, obtain the air pollution resident health impact index and the noise pollution resident health impact index for each age interval of each urban area, and combine the regional The number of residents in the domain is comprehensively analyzed to obtain the interval health risk index of each age range in each urban area, and the air pollution resident health impact index, noise pollution resident health impact index and interval health risk index of each age range in each urban area are stored respectively; the comprehensive analysis module is used to comprehensively analyze the interval health risk index of each age range in each urban area in the blockchain database to obtain the comprehensive health risk index of each urban area and store it; the risk marking module is used to compare and divide the comprehensive health risk index of each urban area with the preset health risk assessment interval in the blockchain database to obtain the health risk level of each urban area, and mark and store them respectively, and the health risk assessment interval includes a first health risk assessment interval and a second health risk assessment interval; the open sharing module is used to mark the data stored in the blockchain database as open data, and allow users to query and access through a preset public port.

[0016] The present invention has the following beneficial effects:

[0017] (1) This blockchain-based public data open sharing method solves the problems of easy tampering and lack of transparency in traditional data management through blockchain technology. All data (such as the number of residents in a region, pollutant emissions, and noise levels) are stored in the blockchain database in the form of timestamps and automated processing is achieved through smart contracts. This data storage method not only avoids errors caused by human intervention, but also allows full tracking of data. Compared with traditional centralized data storage methods, the distributed storage model of blockchain significantly improves the credibility of data management and provides research institutions with a more reliable basis for decision-making.

[0018] (2) This blockchain-based public data open sharing method refines the assessment scope to each age range, and dynamically calculates the specific impact of air pollution and noise pollution on residents' health by combining parameters such as the absorption capacity of the regional green area, the residents' pollution gas absorption rate, and the average time spent outdoors. It further combines normalization processing with interval health risk index calculation to achieve a scientific assessment of the overall health risk of the region. This meticulous risk assessment method can more accurately reflect the health status of various populations in the region and provide a more accurate basis for the optimization of public health policies.

[0019] (3) This blockchain-based public data open sharing method realizes transparent sharing of health risk data through blockchain database and public ports. Users can query data by conditions (such as region, time period, risk level) through public ports and download them in multiple formats (such as JSON or CSV). The openness of data sharing improves the utilization efficiency of public data. In addition, the risk level marking function can intuitively display the health risk situation of the region, making it easier for relevant departments to quickly identify high-risk areas and take governance measures. This open sharing model breaks the limitations of traditional data silos and promotes the efficient and coordinated use of social resources.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flow chart of a method for open sharing of public data based on blockchain in the present invention.

[0022] Figure 2 The present invention is a blockchain-based public data open sharing method, in which a comprehensive analysis is performed on the public environmental data of several time periods in each urban area in combination with each age range in the blockchain database based on a preset smart contract to obtain the specific steps of the air pollution resident health impact index for each age range in each urban area.

[0023] Figure 3 This is a block diagram of a public data open sharing system based on blockchain in the present invention. DETAILED DESCRIPTION

[0024] The embodiment of the present application solves the problem that most public health and environmental monitoring data management methods in the prior art are limited to independent regional statistics and simple parameter analysis, and lack a comprehensive analysis of the impact of specific environmental factors and residents' health in urban areas. In particular, for dynamically changing data such as pollutant emissions and noise levels, they often only stay at the evaluation of a single indicator, and do not conduct in-depth research on the health risks of residents in different age groups, which easily leads to deviations between the calculation results of the health risk index and the actual health status of residents, making it difficult to accurately reflect the health risk level of urban areas. In existing technologies, data sharing and transparency are insufficient, and they usually rely on centralized data storage and management methods, which can easily lead to data tampering or omissions, thereby affecting the credibility of the results. This limitation restricts the extensive use of data by research institutions and the public, and it is difficult to provide sufficiently reliable data support for public policy making. In addition, existing technologies fail to fully utilize the absorption and mitigation effects of existing green areas for pollutant analysis, and ignore the differential assessment of the health effects of air pollution and noise pollution in different regions due to greening levels. As a result, the health impact analysis is easily overly one-sided and fails to accurately reflect the potential value of green space in improving environmental quality and reducing health risks.

[0025] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0026] First, the basic data of each urban area is obtained, including the total number of residents in the area (divided by age range) and continuous public environmental data (polluting gas emissions, noise level values), and these data are stored in the blockchain database to ensure their security, immutability and traceability. Then, the stored data is comprehensively analyzed through the preset smart contract to calculate the air pollution resident health impact index, noise pollution resident health impact index and interval health risk index for each age range in each urban area. At the same time, the risk index of all age ranges is integrated to calculate the comprehensive health risk index of each urban area and store it in the blockchain database. Finally, according to the comprehensive health risk index and the preset health risk assessment range, each urban area is divided into risk levels and marked (such as low risk, medium-low risk, medium risk, etc.), and the marked data is used as open data, and query and access functions are provided through public ports, allowing users to obtain and use relevant data.

[0027] See also Figure 1The embodiment of the present invention provides a technical solution: a method for opening and sharing public data based on blockchain, comprising the following steps: obtaining the total number of residents in each urban area, dividing the number of residents according to preset age ranges, obtaining the number of residents in each age range of each urban area, and storing the number of residents in each age range in a preset blockchain database; continuously obtaining the public environmental data of several time periods of each urban area, and storing the public environmental data in a preset blockchain database, wherein the public environmental data includes the emission of each pollutant gas and the value of each noise level; in the preset blockchain database, based on a preset smart contract, comprehensively analyzing the public environmental data of several time periods of each urban area in combination with each age range, obtaining the air pollution resident health impact index and the noise pollution resident health impact index for each age range of each urban area, and comprehensively analyzing the number of residents in each age range, Obtain the interval health risk index of each age range in each urban area, and store the air pollution resident health impact index, noise pollution resident health impact index, and interval health risk index of each age range in each urban area respectively; comprehensively analyze the interval health risk index of each age range in each urban area in the preset blockchain database to obtain the comprehensive health risk index of each urban area and store it; compare and divide the comprehensive health risk index of each urban area with the preset health risk assessment interval in the preset blockchain database to obtain the health risk level of each urban area, and mark and store them respectively, the health risk assessment interval includes the first health risk assessment interval and the second health risk assessment interval; mark the data stored in the blockchain database as open data, and allow users to query and access through the preset public port, specifically including:

[0028] Users can select the following conditions for query:

[0029] Region: By city, district or specific monitoring point.

[0030] Time period: supports query by day, month, quarter, year or specified time period.

[0031] Risk Level: Filter by health risk level (such as low, medium, high risk).

[0032] In addition, query conditions can be used in combination to support precise queries and fuzzy queries. Users can query open data through the RESTful API and user-friendly front-end interface provided by the blockchain database.

[0033] When users query, the blockchain database supports paginated queries to avoid performance issues caused by returning too much data. It also supports ascending / descending sorting by time or risk index, and the query results are presented in the blockchain database in the form of tables or charts to display the data intuitively.

[0034] At the same time, users can download open data through the JSON and CSV download formats provided by blockchain data. In order to prevent the system from being overloaded, the amount of data that users can download at a time is limited (such as no more than 10,000 records). For larger data sets, batch download function can be provided, and the user, time, query conditions and downloaded data volume of each download are recorded for auditing and security tracking.

[0035] When users query, the blockchain database uses distributed cache (such as Redis or Memcached) to store commonly used query results, that is, data in hot areas and data in the most recent time period are cached first. The query results can be cached for 5-30 minutes and dynamically adjusted according to the access frequency.

[0036] The specific tiered storage strategy is to store data in the blockchain database in layers according to data access frequency and importance, including the following:

[0037] Real-time layer: The data of the last month is stored in a high-performance database.

[0038] Historical layer: Earlier data is stored in cold storage (such as distributed storage systems or blockchain database archives).

[0039] When querying, priority is given to obtaining data from the real-time layer in the blockchain database, and historical data is retrieved on demand.

[0040] For complex queries or large data volume queries, the blockchain database uses an asynchronous processing mechanism to return the query results to the user through a queue.

[0041] Users can download the results after receiving the "task completed" notification on the blockchain database front-end interface.

[0042] In addition, when users query, real-time monitoring is performed simultaneously, alarms are triggered for frequent query or download behaviors, and access rate limits (Rate Limiting) are set to prevent malicious crawling of data.

[0043] The specific formula for calculating the comprehensive health risk index of each urban area is as follows: ;in, For the The comprehensive health risk index of the urban area, For the The city area The health risk index for each age range is For the The city area The health risk factor for each age range is =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, is a natural constant and in this embodiment has a value of 2.71.

[0044] What needs to be explained is: The specific acquisition process is: read the The city area The number of residents in the area in the age range is compared with the The proportion analysis of the total number of residents in each urban area is carried out, and the result of the proportion analysis is the corresponding coefficient.

[0045] Among them, specific implementation examples of the preset age range are as follows:

[0046] The first age range: 0-2 years old.

[0047] The second age range: 3-5 years old.

[0048] The third age range: 6-8 years old.

[0049] The fourth age range: 9-12 years old.

[0050] The fifth age range: 13-15 years old.

[0051] The sixth age range: 16-18 years old.

[0052] The seventh age range: 19-21 years old.

[0053] The eighth age range: 22-25 years old.

[0054] The ninth age range: 26-30 years old.

[0055] The tenth age range: 31-40 years old.

[0056] The eleventh age range: 41-50 years old.

[0057] The twelfth age range: 51-60 years old.

[0058] The thirteenth age range: 61-70 years old.

[0059] The fourteenth age range: 71 years old and above.

[0060] Among them, the types of pollutant gases include but are not limited to the following pollutants: sulfur dioxide, nitric oxide, nitrogen dioxide, ammonia, PM10 and 8PM2.5, ozone, etc.

[0061] Noise types include but are not limited to the following: traffic noise, industrial noise, entertainment noise, community noise, etc.

[0062] Specifically, Figure 2 As shown, in the blockchain database, based on the preset smart contract, the public environmental data of several time periods of each urban area are comprehensively analyzed in combination with each age range, and the specific steps of obtaining the air pollution resident health impact index for each age range in each urban area are as follows: obtain the pollutant gas absorption rate value per unit green area for each pollutant gas, the resident pollutant gas absorption rate for each pollutant gas in each age range, the green area value of each urban area, and the average outdoor time value of residents in each age range; comprehensively analyze the pollutant gas absorption rate value per unit green area for each pollutant gas, the green area value of each urban area, and the emission of each pollutant gas in each time period to obtain the actual emission of each pollutant gas in each time period of each urban area; and comprehensively analyze the actual emission of each pollutant gas in each time period of each urban area with the resident pollutant gas absorption rate for each pollutant gas in each age range and the average outdoor time value of residents in each age range of each urban area to obtain the air pollution resident health impact index for each age range of each urban area.

[0063] The specific formula for calculating the actual emission of each pollutant gas in each period of each urban area and the health impact index of air pollution residents in each age range is as follows: ;in, For the The city area The first The actual emission of polluting gases, For the The city area The first The amount of polluting gas emissions, For the The green area value of the urban area, For the The pollutant gas absorption rate per unit green area of ​​each pollutant gas is For the The city area Air pollution health impact index for residents in different age groups, For the The age range The residential pollution gas absorption rate of the pollutant gas, For the The city area The average time spent outside by residents in each age group is For the The city area The number of people living in the area in each age range, =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, =1, 2, 3, ..., , is the number of time periods, =1, 2, 3, ..., , Types of polluting gases.

[0064] Among them, the polluted gas absorption rate value per unit green area is specifically the ability of plants to absorb polluted gases in the air, which can be obtained through sampling method, that is, collecting the concentration value of each gas in each time period within the unit green area, and the polluted gas absorption rate value = the concentration value of each gas in the current time period / the concentration value of each gas in the previous time period.

[0065] The residential pollution gas absorption rate refers to the absorption capacity of residents in different age ranges for polluted gases in the air. It can be obtained through the sampling method, that is, collecting the change (reduction) in pollutant concentration and living area within a set period of time, and the residential pollution gas absorption rate = pollutant concentration change / living area.

[0066] The average time residents spend outdoors is the average duration of outdoor activities. It can be recorded through existing mobile phone applications, and the user's geographic location and outdoor time are recorded. The average time residents spend outdoors = the total time residents spend outdoors / the number of residents.

[0067] In this implementation plan, by calculating the actual emission of each pollutant gas, the pollutant gas absorption rate of residents in different age ranges, and the average outdoor time of residents, the specific impact of air pollution on the health of different groups of people is analyzed in detail. The absorption rate calculation per unit green area introduces the mitigating effect of regional greening on pollutant absorption. The pollutant gas absorption rate of residents is combined with the sensitivity of people of different ages to pollutants, and the average outdoor time of residents reflects the actual exposure time. Through multi-dimensional comprehensive analysis, not only the scientificity and accuracy of health risk assessment are improved, but also the health impacts of different groups of people can be distinguished, which provides an important basis for formulating accurate environmental governance and health protection measures. This part uses the changes in pollutant concentrations and residents' behavior data in continuous time periods to dynamically reflect the actual changing trends of environmental pollution. The calculation of the actual emissions of pollutant gases combined with the absorption effect of greening and the characteristics of residents' activities provides more comprehensive data support for understanding the actual impact of pollutants in different regions and time periods. This dynamic analysis method avoids the one-sidedness of traditional static evaluation, can track pollutant changes in real time, and provide environmental The system can provide timely and effective basis for regional environmental governance and health risk monitoring. The absorption rate per unit green area is obtained through the sampling method of pollutant concentration changes, and the absorption rate of pollutant gases by residents is calculated through concentration changes and living area. The average time residents go out is based on the geographical location and time records obtained by existing mobile phone applications. These data are obtained in a scientific and reliable way, and are easy to quantify and verify, ensuring the rigor of the data source. Through these precise data collection and calculation methods, this system can provide highly reliable data support for regional environmental governance, while ensuring the transparency and repeatability of the evaluation process. By combining the greening absorption rate to calculate the actual pollutant emissions, this part of the analysis reveals the key role of regional greening in environmental governance, and can guide urban planners to reasonably distribute green space, thereby minimizing the harm of pollutants to residents' health. At the same time, the evaluation results can help environmental governance departments identify key pollution sources, optimize governance measures, and improve the pertinence and effectiveness of governance. The inclusion of residents' time out can better help public health departments assess the exposure risks of specific populations and formulate more targeted protection policies.

[0068] Specifically, in the blockchain database, based on the preset smart contract, the public environmental data of several time periods in each urban area are comprehensively analyzed in combination with each age range to obtain the noise pollution resident health impact index for each age range in each urban area. The specific steps are as follows: respectively obtain the sound absorption coefficient per unit green area for each noise and the resident noise absorption rate for each noise in each age range; comprehensively analyze the sound absorption coefficient per unit green area for each noise, the green area value of each urban area and the value of each noise level in each time period to obtain the noise attenuation index of each urban area; comprehensively analyze the noise attenuation index of each urban area, the number of residents in each age range and the value of each noise level in each time period to obtain the noise pollution resident health impact index for each age range in each urban area.

[0069] The specific formulas for calculating the noise attenuation index for each urban area and the noise pollution health impact index for each age range are as follows: ;in, For the The noise attenuation index of the urban area, For the The city area The first The noise level value, For the The city area The first The noise level value, For the The green area value of the urban area, For the The sound absorption coefficient per unit green area of ​​this noise is For the The city area Noise pollution health impact index for residents in different age groups, For the The city area The age range The noise absorption rate of residents of this type of noise, For the The city area The number of people living in the area in each age range, =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, =1, 2, 3, ..., , is the number of time periods, =1, 2, 3, ..., , The noise type.

[0070] The sound absorption coefficient refers to the ability of plants in a unit green area to absorb sound waves. It can be obtained through the sampling method, that is, a microphone or sound energy meter is installed next to the plants in the unit green area to measure the incident sound energy emitted by the sound source, and the reflected sound energy after passing through the plants is measured. The sound absorption coefficient = (reflected sound energy-incident sound energy) / incident sound energy.

[0071] The noise absorption rate of residents refers to the absorption capacity of residents in different age groups to sound waves. It can be obtained through sampling method, that is, installing a microphone or sound energy meter next to the residents to measure the incident sound energy emitted by the sound source, and measuring the reflected sound energy after passing through the residents. The noise absorption rate of residents in each age group = the number of residents in each age group * [(reflected sound energy-incident sound energy) / incident sound energy].

[0072] In this implementation plan, the specific impact of noise on different regions and populations is dynamically evaluated by calculating the sound absorption coefficient of unit green area and the noise absorption rate of residents. The greening sound absorption coefficient introduces the important role of green area in noise reduction, and the noise absorption rate of residents of different age groups reflects the differences in the impact of noise on the population. This comprehensive analysis model based on multi-dimensional factors can provide a more accurate noise pollution resident health impact index, which is more scientific than traditional methods and provides reliable data support for noise pollution control. By sampling and calculating the noise attenuation index, the sound absorption effect of the greening area is combined with the noise level at different time periods to dynamically reflect the impact of regional noise changes on health. Further combined with the actual exposure of residents (such as the number of people in different age groups and the sound absorption rate), it can carefully portray the health impact of noise pollution on different populations. This dynamic analysis method avoids the one-sidedness of traditional static evaluation, and can provide more realistic and detailed regional noise impact assessment results in real time, which is beneficial to the city. Environmental management provides real-time decision-making basis. The sound absorption coefficient per unit green area and the noise absorption rate of residents are obtained through precise sampling methods. The incident sound energy and reflected sound energy are measured using a sound energy meter or microphone to quantify the noise attenuation effect from a physical level. This calculation method based on actual measurements is highly scientific and repeatable, avoiding the shortcomings of traditional data models that rely on subjective assumptions. Through precise data collection and calculation models, the credibility and application value of the noise pollution health impact index are ensured. By calculating the regional noise attenuation index, this part reveals the key role of green space in alleviating noise pollution and provides a scientific basis for urban greening planning. At the same time, the evaluation results of the noise absorption rate of residents of different age groups can help policymakers identify high-risk groups and areas, and take targeted noise reduction measures (such as greening layout optimization and noise isolation facility construction). This refined evaluation supports the precision of noise pollution control and provides a more efficient solution for urban environment and resident health protection.

[0073] Specifically, the specific steps for obtaining the interval health risk index for each age range in each urban area are as follows: read the air pollution resident health impact index and noise pollution resident health impact index for each age range in each urban area, and normalize them; comprehensively analyze the normalized air pollution resident health impact index and noise pollution resident health impact index for each age range in each urban area to obtain the interval health risk index for each age range in each urban area.

[0074] The specific formula for calculating the interval health risk index for each age range in each urban area is as follows: ;in, For the The city area The health risk index of each age range, After normalization The city area Air pollution health impact index for residents in different age groups, For the The city area The air pollution coefficient for each age group, After normalization The city area Noise pollution health impact index for residents in different age groups, For the The city area The air noise coefficient for each age range is =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, is a natural constant and in this embodiment has a value of 2.71.

[0075] What needs to be explained is: , The specific acquisition process is: read the The air pollution resident health impact index and noise pollution resident health impact index for each age range in the urban area are summed and analyzed to obtain the The correction and value of the urban area, and the The city area The air pollution health impact index and noise pollution health impact index of the age range are respectively The corrections and values ​​of each urban area are analyzed for proportion, and the proportion results are used as the corresponding coefficients.

[0076] The specific implementation example of calculating a certain age range (i.e., 19-21 years old) in a certain urban area is as follows:

[0077] Table 1 Example of calculation data of interval health risk index for a certain age range in a certain urban area

[0078] 1 2 3 4 5 0.852 0.788 0.696 0.747 0.818 0.592 0.646 0.521 0.612 0.564 0.624 0.835 0.724 0.694 0.782 0.408 0.354 0.479 0.388 0.436 0.398 0.439 0.397 0.395 0.442

[0079] In the table, is the normalized air pollution health impact index for residents in a certain age range in a certain urban area. is the air pollution coefficient for a certain age range in a certain urban area, is the normalized noise pollution health impact index for residents in a certain age range in a certain urban area. is the air noise coefficient for a certain age range in a certain urban area, It is the interval health risk index of a certain age range in a certain urban area.

[0080] The first set of data: The air pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.852; the air pollution coefficient of a certain age range in a certain urban area is approximately: 0.592; the noise pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.624; the air noise coefficient of a certain age range in a certain urban area is approximately: 0.408; the interval health risk index of a certain age range in a certain urban area is approximately: 0.398.

[0081] The second set of data: The air pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.788; the air pollution coefficient of a certain age range in a certain urban area is approximately: 0.646; the noise pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.835; the air noise coefficient of a certain age range in a certain urban area is approximately: 0.354; the interval health risk index of a certain age range in a certain urban area is approximately: 0.439.

[0082] The third set of data: The air pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.696; the air pollution coefficient of a certain age range in a certain urban area is approximately: 0.521; the noise pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.724; the air noise coefficient of a certain age range in a certain urban area is approximately: 0.479; the interval health risk index of a certain age range in a certain urban area is approximately: 0.397.

[0083] The fourth set of data: The air pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.747; the air pollution coefficient of a certain age range in a certain urban area is approximately: 0.612; the noise pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.694; the air noise coefficient of a certain age range in a certain urban area is approximately: 0.388; the interval health risk index of a certain age range in a certain urban area is approximately: 0.395.

[0084] The fifth set of data: The air pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.818; the air pollution coefficient of a certain age range in a certain urban area is approximately: 0.564; the noise pollution health impact index of a certain age range in a certain urban area after normalization is approximately: 0.782; the air noise coefficient of a certain age range in a certain urban area is approximately: 0.436; the interval health risk index of a certain age range in a certain urban area is approximately: 0.422.

[0085] In this implementation plan, by normalizing the resident health impact index of air pollution and noise pollution, a unified assessment of health risks caused by different types of pollution can be achieved, thereby more comprehensively reflecting the health risk situation of each urban area, and helping managers to clearly understand the comprehensive impact of different pollution sources on residents of different age groups, providing a scientific basis for formulating more effective public health strategies, and the normalization process makes the health risk index of each urban area and age range comparable, thereby making the health risk assessment between age ranges more objective and fair. Finally, by using specific calculation formulas, managers can dynamically monitor and evaluate the health risk index of each region, so that managers can respond to potential health risks in a timely manner and take corresponding measures, such as improving urban greening, reducing emissions from pollution sources, or increasing public publicity efforts, thereby improving residents' quality of life and health level, which helps to enhance the public's trust and support for managers' environmental protection measures.

[0086] Specifically, the specific steps for obtaining the health risk level of each urban area and marking them separately are as follows: compare and analyze the comprehensive health risk index of each urban area with the preset first health risk assessment interval and the second health risk assessment interval respectively; for urban areas with a comprehensive health risk index lower than the first health risk assessment interval (i.e., lower than the lower limit of the first health risk assessment interval), mark (the urban area) as an environmental low-risk area, and provide health promotion suggestions (i.e., carry out health education and promotion activities, enhance residents' health awareness, and encourage a healthy lifestyle); for urban areas with a comprehensive health risk index within the first health risk assessment interval, mark (the urban area) as an environmental low-risk area, and provide community activity suggestions (organize health promotion activities, such as sports games and fitness classes, to enhance the health atmosphere of the community); for urban areas with a comprehensive health risk index higher than the first health risk assessment interval and lower than the second health risk assessment interval (i.e., higher than the upper limit of the first health risk assessment interval and lower than the second health risk assessment interval), mark (the urban area) as an environmental low-risk area If the comprehensive health risk index of an urban area is within the lower limit of the health risk assessment interval, it will be marked as an environmental risk area, and targeted intervention (i.e., implementing targeted intervention measures, such as reducing noise pollution, strengthening traffic management, and limiting industrial emissions) and medical resources (i.e., increasing support for medical services, setting up health consultation and inspection sites, and raising residents' attention to and prevention of health problems) suggestions will be provided; if the comprehensive health risk index of an urban area is within the second health risk assessment interval, it will be marked as an environmental high-risk area, and health monitoring (i.e., conducting health risk assessment and monitoring regularly to identify problems in a timely manner) suggestions will be provided; if the comprehensive health risk index of an urban area is higher than the second health risk assessment interval (i.e., higher than the upper limit of the second health risk assessment interval), it will be marked as an environmental high-risk area, and emergency response (i.e., establishing an emergency response mechanism to ensure a rapid response when a pollution incident or health crisis occurs) and comprehensive governance (launching comprehensive governance actions, focusing on rectifying environmental problems, improving air, water quality and noise, etc.) suggestions will be provided.

[0087] The specific implementation examples are as follows: the preset first health risk assessment interval is (0.300, 0.500), and the second health risk assessment interval is (0.700, 0.900). The comprehensive health risk indexes of 5 urban areas are taken as 0.315, 0.264, 0.784, and 0.802 respectively.

[0088] Then the comprehensive health risk index of the first urban area is within the first health risk assessment interval, that is, the urban area is marked as a low-risk area in the environment;

[0089] The comprehensive health risk index of the second urban area is lower than the lower limit of the first health risk assessment interval, which means that the urban area is marked as a low environmental risk area;

[0090] The comprehensive health risk index of the third urban area is within the second health risk assessment interval, which marks the urban area as a high-risk area in the environment;

[0091] The comprehensive health risk index of the fourth urban area is within the first health risk assessment range, which marks the urban area as a high-risk area in the environment.

[0092] In this implementation plan, by marking the health risk levels of urban areas, more detailed and targeted health management strategies can be implemented. For example, low-risk areas can carry out health publicity to enhance residents' health awareness, while medium-risk and high-risk areas can implement targeted interventions and emergency responses, so that resources can be more effectively connected to actual needs, improving the efficiency and effectiveness of public health management. Secondly, marking health risk levels and providing corresponding suggestions not only provides residents with specific health guidance, but also encourages them to participate in community activities and health promotion. For example, organizing fitness classes and sports games in medium- and low-risk areas can not only enhance the physical fitness of residents, but also enhance community cohesion, promote interaction and cooperation among residents, and thus create a healthier living environment. Finally, comprehensive governance suggestions for high-risk areas can promote managers and enterprises to take practical and effective environmental protection measures and promote sustainable development. By establishing an emergency response mechanism and implementing comprehensive governance, it is possible to respond to pollution incidents and health crises in a timely manner, reduce potential health risks, and then protect the health of residents. It can also improve the overall environmental quality of the city and improve the quality of life of residents.

[0093] See also Figure 3The embodiment of the present invention provides a technical solution: a public data open sharing system based on blockchain, comprising: an interval division module, a data acquisition module, a data analysis module, a comprehensive analysis module, a risk marking module, and an open sharing module; the interval division module is used to obtain the total number of residents in each urban area, and divide the number of people according to preset age intervals, obtain the number of residents in each age interval of each urban area, and store it in the blockchain database; the data acquisition module is used to continuously obtain the public environmental data of several time periods of each urban area, and store it in the blockchain database, the public environmental data includes the emission of each pollutant gas and each noise level value; the data analysis module is used to perform a comprehensive analysis on the public environmental data of several time periods of each urban area in combination with each age interval based on a preset smart contract in the blockchain database, obtain the air pollution resident health impact index and the noise pollution resident health impact index of each age interval of each urban area, and combine A comprehensive analysis is conducted on the number of regional residents in each age range to obtain the interval health risk index of each age range in each urban area, and the air pollution resident health impact index, noise pollution resident health impact index and interval health risk index of each age range in each urban area are stored separately; a comprehensive analysis module is used to conduct a comprehensive analysis on the interval health risk index of each age range in each urban area in the blockchain database to obtain the comprehensive health risk index of each urban area and store it; a risk marking module is used to compare and divide the comprehensive health risk index of each urban area with the preset health risk assessment interval in the blockchain database to obtain the health risk level of each urban area, and mark and store them separately. The health risk assessment intervals include the first health risk assessment interval and the second health risk assessment interval; an open sharing module is used to mark the data stored in the blockchain database as open data, and allow users to query and access it through a preset public port.

[0094] This application has at least the following effects:

[0095] Blockchain technology solves the problems of easy tampering and lack of transparency in traditional data management. All data (such as the number of residents in a region, pollution gas emissions, and noise levels) are stored in the blockchain database in the form of timestamps and automated processing is achieved through smart contracts. This data storage method not only avoids errors caused by human intervention, but also tracks the data throughout the process. Compared with traditional centralized data storage methods, the distributed storage model of blockchain significantly improves the credibility of data management and provides research institutions with a more reliable basis for decision-making.

[0096] By refining the assessment scope to each age range, and combining parameters such as the absorption capacity of the regional green area, the residents' pollution gas absorption rate, and the average outdoor time, the specific impact of air pollution and noise pollution on residents' health is dynamically calculated. Further combined with normalization processing and interval health risk index calculation, a scientific assessment of the overall health risk of the region can be achieved. This meticulous risk assessment method can more accurately reflect the health status of various groups in the region and provide a more precise basis for the optimization of public health policies.

[0097] Through the blockchain database and public ports, transparent sharing of health risk data is achieved. Users can query data by conditions (such as region, time period, risk level) through the public port and download it in multiple formats (such as JSON or CSV). The openness of data sharing improves the utilization efficiency of public data. In addition, the risk level marking function can intuitively display the health risk situation of the region, making it easier for relevant departments to quickly identify high-risk areas and take governance measures. This open sharing model breaks the limitations of traditional data islands and promotes the efficient and coordinated use of social resources.

[0098] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0099] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for open sharing of public data based on blockchain, characterized in that: The following steps are involved: Obtain the total number of residents in each urban area, divide the number of residents according to the preset age range, obtain the number of residents in each age range in each urban area, and store them in the blockchain database; Continuously obtain public environmental data of each urban area for several time periods and store them in the blockchain database, wherein the public environmental data includes the emission of each pollutant gas and each noise level value; In the blockchain database, based on the preset smart contract, the public environmental data of several time periods in each urban area are comprehensively analyzed in combination with each age range to obtain the air pollution resident health impact index and noise pollution resident health impact index of each age range in each urban area, and the comprehensive analysis is performed in combination with the number of regional residents in each age range to obtain the interval health risk index of each age range in each urban area, and the air pollution resident health impact index, noise pollution resident health impact index and interval health risk index of each age range in each urban area are stored separately; Comprehensively analyze the interval health risk index of each age range in each urban area in the blockchain database to obtain the comprehensive health risk index of each urban area and store it; In the blockchain database, the comprehensive health risk index of each urban area is compared and divided with the preset health risk assessment interval to obtain the health risk level of each urban area, and the health risk assessment intervals are marked and stored respectively, wherein the health risk assessment intervals include a first health risk assessment interval and a second health risk assessment interval; Mark the data stored in the blockchain database as open data, and allow users to query and access it through the preset public port; The specific formula for calculating the comprehensive health risk index for each urban area is as follows: ； in, For the The comprehensive health risk index of the urban area, For the The city area The health risk index for each age range is For the The city area The health risk factor for each age range is =1, 2, 3, …, , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, is a natural constant; In the blockchain database, based on the preset smart contract, the public environmental data of several time periods in each urban area are comprehensively analyzed in combination with each age range. The specific steps to obtain the air pollution resident health impact index for each age range in each urban area are as follows: Obtain the pollutant gas absorption rate value per unit green area for each pollutant gas, the pollutant gas absorption rate of each pollutant gas by residents in each age range, the green area value of each urban area, and the average outdoor time value of residents in each age range; Comprehensively analyze the pollutant gas absorption rate per unit green area of ​​each pollutant gas, the green area value of each urban area, and the emission of each pollutant gas in each period to obtain the actual emission of each pollutant gas in each urban area in each period; The actual emissions of each pollutant gas in each time period in each urban area are comprehensively analyzed with the pollutant gas absorption rate of residents for each age group and the average outdoor time of residents in each age group in each urban area to obtain the air pollution health impact index for each age group in each urban area.

2. The method for opening and sharing public data based on blockchain according to claim 1 is characterized in that: The specific formula for calculating the actual emission of each pollutant gas in each period of each urban area and the health impact index of air pollution residents in each age range is as follows: ； in, For the The city area The first The actual emission of polluting gases, For the The city area The first The amount of polluting gas emissions, For the The green area value of the urban area, For the The pollutant gas absorption rate per unit green area of ​​each pollutant gas is For the The city area Air pollution health impact index for residents in different age groups, For the The age range The residential pollution gas absorption rate of the pollutant gas, For the The city area The average time spent outside by residents in each age group is For the The city area The number of people living in the area in each age range, =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, =1, 2, 3, ..., , is the number of time periods, =1, 2, 3, ..., , Types of polluting gases.

3. The method for public data openness and sharing based on blockchain according to claim 1 is characterized in that: In the blockchain database, based on the preset smart contract, the public environmental data of several time periods in each urban area are comprehensively analyzed in combination with each age range. The specific steps to obtain the noise pollution resident health impact index of each age range in each urban area are as follows: Obtain the sound absorption coefficient per unit green area for each noise, and the resident noise absorption rate for each noise in each age range; The sound absorption coefficient per unit green area for each noise, the green area value of each urban area, and the noise level value of each period are comprehensively analyzed to obtain the noise attenuation index of each urban area; A comprehensive analysis is conducted on the noise attenuation index of each urban area, the number of residents in each age range, and the value of each noise level in each time period to obtain the noise pollution resident health impact index for each age range in each urban area.

4. The method for public data openness and sharing based on blockchain according to claim 3 is characterized in that: The specific formulas for calculating the noise attenuation index for each urban area and the noise pollution health impact index for each age range are as follows: ； in, For the The noise attenuation index of the urban area, For the The city area The first The noise level value, For the The city area The first The noise level value, For the The green area value of the urban area, For the The sound absorption coefficient of unit green area of ​​this noise, For the The city area Noise pollution health impact index for residents in different age groups, For the The city area The age range The noise absorption rate of residents of this type of noise, For the The city area The number of people living in the area in each age range, =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, =1, 2, 3, ..., , is the number of time periods, =1, 2, 3, ..., , The noise type.

5. The method for public data openness and sharing based on blockchain according to claim 1 is characterized in that: The specific steps to obtain the interval health risk index for each age range in each urban area are as follows: Read the health impact index of air pollution and noise pollution for each age group in each urban area and perform normalization; The normalized air pollution health impact index and noise pollution health impact index for each age range in each urban area are comprehensively analyzed to obtain the interval health risk index for each age range in each urban area.

6. The method for public data openness and sharing based on blockchain according to claim 5 is characterized in that: The specific formula for calculating the interval health risk index for each age range in each urban area is as follows: ; in, For the The city area The health risk index of each age range, After normalization The city area Air pollution health impact index for residents in different age groups, For the The city area The air pollution coefficient for each age group, After normalization The city area Noise pollution health impact index for residents in different age groups, For the The city area The air noise coefficient for each age range is =1, 2, 3, ..., , is the number of urban areas, =1, 2, 3, ..., , is the number of age intervals, is a natural constant.

7. The method for public data openness and sharing based on blockchain according to claim 1 is characterized in that: The specific steps to obtain the health risk level of each urban area and mark them separately are as follows: Compare and analyze the comprehensive health risk index of each urban area with the preset first health risk assessment interval and second health risk assessment interval respectively; Urban areas with a comprehensive health risk index below the first health risk assessment interval are marked as low-risk environmental areas; The urban areas whose comprehensive health risk index is within the first health risk assessment interval are marked as low-risk areas in the environment; Mark urban areas where the comprehensive health risk index is higher than the first health risk assessment interval and lower than the second health risk assessment interval as risk areas in the environmental risk area; Urban areas whose comprehensive health risk index falls within the second health risk assessment range are marked as high-risk areas in the environment; Urban areas with a comprehensive health risk index higher than the second health risk assessment range will be marked as high-risk environmental areas.

8. A public data open sharing system based on blockchain, applying the public data open sharing method based on blockchain according to any one of claims 1 to 7, characterized in that: include: Interval division module, data acquisition module, data analysis module, comprehensive analysis module, risk marking module, open sharing module; The interval division module is used to obtain the total number of residents in each urban area, and divide the number of people according to the preset age intervals, to obtain the number of residents in each age interval of each urban area, and store it in the blockchain database; The data acquisition module is used to continuously acquire the public environmental data of each urban area for several time periods and store them in the blockchain database, wherein the public environmental data includes the emission of each pollutant gas and the value of each noise level; The data analysis module is used to perform a comprehensive analysis on the public environmental data of several time periods of each urban area in combination with each age interval based on a preset smart contract in the blockchain database, to obtain the air pollution resident health impact index and the noise pollution resident health impact index of each age interval in each urban area, and to perform a comprehensive analysis on the number of regional residents in each age interval to obtain the interval health risk index of each age interval in each urban area, and to store the air pollution resident health impact index, the noise pollution resident health impact index, and the interval health risk index of each age interval in each urban area respectively; The comprehensive analysis module is used to comprehensively analyze the interval health risk index of each age interval in each urban area in the blockchain database, obtain the comprehensive health risk index of each urban area, and store it; The risk marking module is used to compare and divide the comprehensive health risk index of each urban area with the preset health risk assessment interval in the blockchain database, obtain the health risk level of each urban area, and mark and store them respectively, and the health risk assessment interval includes a first health risk assessment interval and a second health risk assessment interval; The open sharing module is used to mark the data stored in the blockchain database as open data and allow users to query and access it through a preset public port.

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