Government affair information sharing method and system based on big data

Abstract

The invention relates to the technical field of government affair data sharing processing, and particularly discloses a government affair information sharing method and system based on big data, and the method comprises the steps: monitoring data receiving, quality index evaluation, accuracy degree judgment, and information sharing display: receiving ecological environment monitoring data of an information sharing region through a big data sharing cloud platform, quality indexes are evaluated through a processor, comprehensive analysis is carried out on the quality indexes and reference ecological environment data, the information sharing accuracy degree value of an information sharing area is judged, the data are shared through an ecological environment information disclosure platform, and therefore sharing display of ecological environment monitoring data in government affair information is completed. The transparency of ecological environment information can be improved, and the current environment condition can be known more clearly, so that measures can be taken in a targeted manner for protection and treatment.

Description

Technical Field

[0001] The present invention relates to the technical field of government data sharing and processing, and specifically to a government information sharing method and system based on big data. Background Art

[0002] Although the current technical solutions for government data sharing and processing can improve the efficiency of environmental data utilization and promote cross-departmental collaboration among governments, some environmental data sharing solutions still lack a complete sharing mechanism, resulting in the existence of data islands and difficulty in effectively circulating and integrating data between different departments or systems. In addition, while government information is shared, if the public does not have easier access to environmental data and understand the environmental conditions around them, it means that government information may be hindered in the process of dissemination, making it difficult for the public to timely and comprehensively understand the ecological environment of their region, and reducing the public's trust in information release platforms.

[0003] For example, the invention patent with announcement number CN111400749B, the above application provides a blockchain-based government financial data sharing platform, including a management application layer, a blockchain network, an access layer, a decryption center and business departments. The management application layer includes a platform management module, a directory system and permission management module, and a query application module. The blockchain network is connected to the management application layer, the decryption center and the access layer. The blockchain network includes chain code and public ledger, smart contracts, node servers and basic programs, and a node management module. The node management module is used to manage information center nodes, bank and microfinance company nodes, blockchain consensus networking, public ledgers, investigation companies and guarantee company nodes; the access layer includes several software packages, and the business departments access the node servers and basic programs through the software packages. The decryption center decrypts the encrypted data of each department according to authorization.

[0004] Combining the above-mentioned technical solutions, it is found that with the efficient development of interconnection and interoperability of data resources, it is necessary to organize more technical solutions for sharing government data that are sufficient, accurate and convenient. However, most of the technical solutions for sharing government data have a relatively single analysis dimension for government information application scenarios, making it difficult to achieve the expected results in sharing government information, resulting in deviations in the shared public information on the public platform, which ultimately affects the accuracy of sharing government information. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a government information sharing method and system based on big data, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect, the present invention provides a government information sharing method based on big data, including: monitoring data reception: a big data sharing cloud platform responds to and receives the ecological environment monitoring data of the information sharing area uploaded by the data transmission port of the ecological environment monitoring device connected to the Internet; quality index evaluation: a processor receives the ecological environment monitoring data sent by the big data sharing cloud platform, and evaluates the air quality index, drinking water quality index and soil quality index of the information sharing area respectively through the processor according to the ecological environment monitoring data; accuracy determination: the processor synchronously collects the reference ecological environment data of the information sharing area, and comprehensively analyzes it with the air quality index, drinking water quality index and soil quality index of the information sharing area to determine the information sharing accuracy value of the information sharing area; information sharing display: the information sharing accuracy value of the information sharing area is compared with a preset accuracy reference value. If the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area is shared through the ecological environment information disclosure platform, thereby completing the shared display of the ecological environment monitoring data in the government information.

[0007] As a further method, the shared display of ecological environment monitoring data in government information is completed, and the specific analysis process is: compare the information sharing accuracy value of the information sharing area with the accuracy reference value preset in the government data sharing database; if the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area will be shared through the ecological environment information disclosure platform, thereby completing the shared display of ecological environment monitoring data in government information.

[0008] As a further method, the information sharing accuracy value of the information sharing area is specifically analyzed by comprehensively analyzing the reference ecological environment data of the information sharing area with the air quality index, drinking water quality index and soil quality index of the information sharing area to determine the information sharing accuracy value of the information sharing area. The specific expression is:

[0009] β=A1 |KQ-KQ′|+|YS-YS′|+|TR-TR′| ;

[0010] Where β is the information sharing accuracy value of the information sharing area, KQ is the air quality index of the information sharing area, YS is the drinking water quality index of the information sharing area, TR is the soil quality index of the information sharing area, KQ′ is the reference air quality index of the information sharing area, YS′ is the reference drinking water quality index of the information sharing area, TR′ is the reference soil quality index of the information sharing area, and A1 is the correction factor corresponding to the information sharing accuracy value predefined in the government data sharing database.

[0011] As a further method, the ecological environment monitoring data of the information sharing area specifically include air quality data, drinking water quality data and soil quality data of the information sharing area; the air quality data of the information sharing area specifically include the temperature value of the information sharing area at each monitoring time point, the humidity value of the information sharing area at each monitoring time point, and the particle diffusion rate of the information sharing area at each monitoring time point; the drinking water quality data of the information sharing area specifically include the calcium ion content of the drinking water in the information sharing area during the monitoring period, and the pH value of the drinking water in the information sharing area during the monitoring period; the soil quality data of the information sharing area specifically include the pH value of the soil in the information sharing area, and the soil humidity value of the information sharing area at each monitoring time point.

[0012] As a further method, the specific analysis process of the air quality index of the information sharing area is as follows: the temperature values ​​of the information sharing area at each monitoring time point are arranged in order from large to small, and the temperature value ranked first is recorded as the maximum temperature of the information sharing area during the monitoring period; according to the humidity value of the information sharing area at each monitoring time point, a humidity change curve of the information sharing area is constructed, and the humidity change angle between the maximum humidity value and the minimum humidity value is extracted, which is recorded as the maximum humidity change angle value of the information sharing area during the monitoring period; the particle diffusion rate of the information sharing area at each monitoring time point is averaged to obtain the average particle diffusion rate of the information sharing area during the monitoring period; the adaptation temperature, humidity change adaptation angle value and particle definition diffusion rate are collected from the government data sharing database, and the air quality index of the information sharing area is comprehensively analyzed.

[0013] As a further method, the specific analysis process of the drinking water quality indicators in the information sharing area is: the calcium ion content of the drinking water in the information sharing area during the monitoring period and the pH value of the drinking water in the information sharing area during the monitoring period are processed with the calcium ion reference content and drinking water pH reference value predefined in the government data sharing database to comprehensively analyze the drinking water quality indicators in the information sharing area.

[0014] As a further method, the soil quality indicators of the information sharing area are specifically analyzed as follows: the pH values ​​in the soil of the information sharing area and the soil moisture values ​​in the information sharing area at each monitoring time point are processed with the soil pH reference values ​​and soil moisture reference values ​​predefined in the government data sharing database to comprehensively analyze the soil quality indicators of the information sharing area.

[0015] The second aspect of the present invention provides a government information sharing system based on big data, including: a monitoring data receiving module, which is used for the big data sharing cloud platform to respond to and receive the ecological environment monitoring data of the information sharing area uploaded by the data transmission port of the ecological environment monitoring equipment connected to the Internet; a quality index evaluation module, which is used for the processor to receive the ecological environment monitoring data sent by the big data sharing cloud platform, and evaluate the air quality index, drinking water quality index and soil quality index of the information sharing area respectively according to the ecological environment monitoring data; an accuracy determination module, which is used for the processor to synchronously collect the reference ecological environment data of the information sharing area, and comprehensively analyze it with the air quality index, drinking water quality index and soil quality index of the information sharing area to determine the information sharing accuracy value of the information sharing area; an information sharing display module, which is used to compare the information sharing accuracy value of the information sharing area with a preset accuracy reference value. If the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area is shared through the ecological environment information disclosure platform, thereby completing the shared display of the ecological environment monitoring data in the government information.

[0016] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0017] (1) The present invention provides a government information sharing method and system based on big data, receives ecological environment monitoring data of the information sharing area through a big data sharing cloud platform, and evaluates the quality indicators respectively through a processor. The evaluation of air quality can help identify parameters such as pollutant concentration and temperature in the air, thereby reducing potential air pollution risks; the evaluation of drinking water quality can ensure that harmful substances in drinking water do not exceed the standard, thereby ensuring the quality and safety of drinking water; the evaluation of soil quality can detect pollutants in the soil, etc., thereby reducing the risk of soil deterioration; and a comprehensive analysis is performed with reference to ecological environment data to determine the accuracy value of information sharing in the information sharing area, and the data is shared through the ecological environment information disclosure platform, thereby completing the sharing and display of ecological environment monitoring data in government information, which can improve the transparency of ecological environment information and provide a clearer understanding of the current environmental conditions, thereby taking targeted measures to protect and govern.

[0018] (2) The present invention responds to and receives the ecological environment monitoring data of the information sharing area uploaded by the data transmission port of the ecological environment monitoring equipment connected to the Internet through the big data sharing cloud platform. The big data sharing cloud platform can quickly respond to the data uploaded by the monitoring equipment, update the monitoring status of the ecological environment in real time, and ensure the timeliness and accuracy of the monitoring information, thereby realizing the integration and interconnected sharing of the ecological environment monitoring data through the big data sharing cloud platform.

[0019] (3) The present invention receives the ecological environment monitoring data sent by the big data sharing cloud platform through the processor, and evaluates the air quality index, drinking water quality index and soil quality index of the information sharing area according to the ecological environment monitoring data through the processor. The processor can process and analyze the large amount of data uploaded by the big data sharing cloud platform in real time, thereby providing more accurate air quality, drinking water quality and soil quality indicators, and the processor can quickly respond to data changes and update the evaluation results in real time to ensure the timeliness and accuracy of the monitored environmental information. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0021] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0022] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0023] Figure 3 It is the humidity change curve involved in the present invention.

[0024] As shown in the attached figure: 1. Humidity change straight line; 2. First horizontal straight line. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] Reference Figure 1 As shown, the first aspect of the present invention provides a government information sharing method based on big data, including: monitoring data reception: the big data sharing cloud platform responds to and receives the ecological environment monitoring data of the information sharing area uploaded by the data transmission port of the ecological environment monitoring equipment connected to the Internet.

[0027] It should be explained that government information refers to information related to all aspects of government work, including industry, agriculture, commerce, education, military, agriculture, forestry, animal husbandry, sideline production, fishery, commerce, grain supply, and finance, etc. In the embodiment of the present invention, only ecological environment data is studied and analyzed.

[0028] The above-mentioned big data sharing cloud platform is a network management platform that provides services through content sharing, resource sharing, and data sharing. It uses cloud storage technology to provide safe and reliable data storage services for ecological environment monitoring data, which can automatically process large amounts of data, improve the efficiency of data processing and analysis, and ensure the integrity and consistency of the data.

[0029] The above-mentioned ecological environment monitoring equipment data transmission port refers to the equipment used in ecological environment monitoring, which is an important interface for exchanging data with the outside world through the Internet, and its port supports multiple communication protocols and transmission methods to achieve real-time and accurate data transmission; ecological environment monitoring equipment includes but is not limited to: temperature sensors, humidity sensors, acid-base monitors.

[0030] Quality indicator evaluation: The processor receives the ecological environment monitoring data sent by the big data sharing cloud platform. Based on the ecological environment monitoring data, the processor evaluates the air quality indicators, drinking water quality indicators and soil quality indicators of the information sharing area.

[0031] The above-mentioned processor is a device for data analysis and processing. It can receive ecological environment monitoring data sent by the big data sharing cloud platform, and convert it into useful information or results, namely various ecological environment quality indicators, through various algorithms and processing steps.

[0032] Specifically, the ecological environment monitoring data of the information sharing area includes air quality data, drinking water quality data and soil quality data of the information sharing area.

[0033] The air quality data of the information sharing area specifically includes the temperature value of the information sharing area at each monitoring time point, the humidity value of the information sharing area at each monitoring time point, and the particle diffusion rate of the information sharing area at each monitoring time point, wherein the monitoring time point is obtained by dividing the monitoring period into various detection time points, and the determination of the monitoring period is obtained by comprehensive analysis by environmental monitoring personnel based on actual needs, the status of monitoring equipment, the actual conditions of the information sharing area and other factors.

[0034] The above temperature and humidity values ​​can be monitored by temperature sensors and humidity sensors in ecological environment monitoring equipment.

[0035] The particle diffusion rate can be measured by a particle diffusion tester.

[0036] The drinking water quality data of the information sharing area specifically includes the calcium ion content of the drinking water in the information sharing area during the monitoring period and the pH value of the drinking water in the information sharing area during the monitoring period.

[0037] The above calcium ion content can be determined by complexometric titration, wherein the complexometric titration uses a reagent that can form a complex with calcium ions, such as ethylenediaminetetraacetic acid, and calculates the concentration of calcium ions in the water sample by calculating the volume of ethylenediaminetetraacetic acid solution consumed.

[0038] The above-mentioned pH values ​​can be obtained by monitoring the acid-base monitor in the ecological environment monitoring equipment.

[0039] The soil quality data of the information sharing area specifically includes the pH value of the soil in the information sharing area and the soil moisture value of the information sharing area at each monitoring time point.

[0040] The above-mentioned pH values ​​can be obtained by monitoring the acid-base monitor in the ecological environment monitoring equipment.

[0041] The above soil moisture value can be monitored by a humidity sensor in an ecological environment monitoring device.

[0042] Furthermore, the specific analysis process of the air quality index of the information sharing area is as follows:

[0043] The temperature values ​​of the information sharing area at each monitoring time point are arranged in order from large to small, and the temperature value ranked first is recorded as the maximum temperature of the information sharing area during the monitoring period.

[0044] According to the humidity value of the information sharing area at each monitoring time point, a humidity change curve of the information sharing area is constructed, and the humidity change angle between the maximum humidity value and the minimum humidity value is extracted from it, which is recorded as the maximum humidity change angle value of the information sharing area during the monitoring period.

[0045] According to the humidity value of the information sharing area at each monitoring time point, the humidity change line of the information sharing area is constructed, such as Figure 3 As shown, the horizontal axis of the humidity change line is the monitoring time point, the unit is second, and the vertical axis is the humidity, the unit is percentage.

[0046] According to the humidity change line, a humidity change straight line 1 between the maximum humidity value and the minimum humidity value, and a first horizontal straight line 2 are located, and the minimum angle formed between the humidity change straight line 1 and the first horizontal straight line 2 is recorded as the maximum humidity change angle value of the information sharing area.

[0047] The particle diffusion velocity in the information sharing area at each monitoring time point is averaged to obtain the average particle diffusion velocity in the information sharing area during the monitoring period.

[0048] The adapted temperature, humidity change adapted angle values ​​and particle definition diffusion speed are collected from the government data sharing database, and the air quality indicators of the information sharing area are comprehensively analyzed.

[0049] The data stored in the above-mentioned government data sharing database is fitted based on the statistics of historical ecological environment monitoring data of multiple information sharing areas. For example, the adaptation temperature is obtained by obtaining multiple historical ecological environment monitoring data, and the monitoring personnel determine the temperature values ​​that meet the optimal air quality at different temperatures, and then average them as the adaptation temperature. In this way, the value in the government data sharing database is obtained, and the value may change due to different regional environments, actual needs, and the status of monitoring equipment. This embodiment does not make any special limitations on this.

[0050] Specifically, the air quality index of the information sharing area, in this embodiment, is obtained by comprehensive analysis of the maximum temperature of the information sharing area during the monitoring period, the maximum humidity change angle value of the information sharing area during the monitoring period, and the particle diffusion rate of the information sharing area at each monitoring time point, so as to determine the air quality index of the information sharing area. In this embodiment, a more accurate calculation method is used to obtain the air quality index, and the specific expression is:

[0051]

[0052] Wherein KQ is the air quality index of the information sharing area. In this embodiment, if the air quality of the information sharing area is to be ensured to be at a high level, it is necessary to analyze the temperature, humidity, and particle diffusion rate of the information sharing area. When the temperature is at a high level, the humidity in the air will decrease accordingly. When the temperature is at a low level, the corresponding humidity may increase accordingly. Therefore, when the temperature is within a reasonable range and close to the adaptation temperature, the air quality of the information sharing area will increase in a timely manner; if there is a large humidity change in the information sharing area, the air comfort level will decrease, and it is also very likely to aggravate the problem of air pollution. Therefore, the humidity change in the information sharing area should also be within a reasonable range; temperature will also affect the particle diffusion rate. When the temperature is within a reasonable range and close to the adaptation temperature, the particle diffusion rate is faster, which is conducive to reducing the particle concentration in the monitored information sharing area and improving the air quality of the information sharing area.

[0053] ΔW is the maximum temperature of the information sharing area during the monitoring period, which refers to the maximum value that the temperature of the information sharing area can reach during the monitoring period.

[0054] W' is the adaptation temperature, which refers to the standard temperature value specified when discussing temperature.

[0055] ΔS is the maximum humidity change angle value of the information sharing area during the monitoring period, which refers to the angle formed between the humidity change straight line and the first horizontal straight line.

[0056] S' is the humidity change adaptation angle value, which refers to the reference angle value allowed when discussing humidity changes.

[0057] V i is the particle diffusion rate in the information sharing area at the i-th monitoring time point.

[0058] i is the number of each monitoring time point, i = 1, 2, 3, ..., m, and m is the total number of monitoring time points.

[0059] y1 is the correction factor corresponding to the air quality index predefined in the government data sharing database.

[0060] In a specific embodiment, a fitting curve is obtained by fitting the historical temperature, historical humidity, historical particle diffusion rate and air quality index of the information sharing area, and the real-time temperature, humidity and particle diffusion rate are introduced into the fitting curve to obtain the correction factor corresponding to the air quality index in this embodiment. At the same time, the value range in this embodiment is (0, 1).

[0061] Furthermore, the specific analysis process of the drinking water quality index in the information sharing area is as follows:

[0062] Comprehensively analyze the drinking water quality index of the information sharing area. In this embodiment, the drinking water quality index is obtained by comprehensive analysis of the calcium ion content of the drinking water in the information sharing area during the monitoring period, the pH value of the drinking water in the information sharing area during the monitoring period, the calcium ion reference content predefined in the government data sharing database, and the drinking water pH reference value. This is used to determine the drinking water quality index of the information sharing area. In this embodiment, a more accurate calculation method is used to obtain it. The specific expression is:

[0063]

[0064] Wherein YS is the drinking water quality index of the information sharing area. In this embodiment, if the quality of drinking water in the information sharing area is to be improved, it is necessary to ensure that the calcium ion content and the pH value of the drinking water in the information sharing area are within a reasonable range and are close to the reference value. When the calcium ion content is too high and deviates from the reference value, it means that the hardness of the drinking water in the information sharing area is too high, and when the calcium ion content is too low and deviates from the reference value, it means that the hardness of the drinking water in the information sharing area is too low, both of which will affect the quality and safety of the drinking water, so as to greatly reduce the quality of drinking water in the information sharing area; and when the calcium ion content is too high and the hardness of the drinking water in the information sharing area is too high, the drinking water will be alkaline, that is, the pH value of the drinking water is high, which will also have a negative impact on the quality and safety of the drinking water and reduce the quality of drinking water in the information sharing area. If the pH value of the drinking water is low, that is, the drinking water is acidic and deviates from the reference value, it will also reduce the quality of drinking water in the information sharing area.

[0065] G is the calcium ion content of drinking water in the information sharing area during the monitoring period, which refers to the average calcium ion concentration obtained by sampling and monitoring drinking water in the information sharing area during the monitoring period.

[0066] It should be explained that the drinking water involved in the embodiments of the present invention is domestic drinking water.

[0067] In this embodiment, the drinking water in the information sharing area is sampled and monitored, wherein the calcium ion concentration value in each sample is shown in Table 1.

[0068] Table 1 Numerical changes of calcium ion concentration

[0069] Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 276 mg / L 250 mg / L 300 mg / L 280 mg / L 275 mg / L

[0070] In this embodiment, according to the table of calcium ion concentration values ​​in the above samples, for the drinking water in the information sharing area, the calcium ion concentration values ​​in different samples may not be the same. Therefore, the calcium ion content of the drinking water in the information sharing area during the monitoring period refers to the average value of its calcium ion concentration. In this embodiment, the specific value of the calcium ion content of the drinking water in the information sharing area during the monitoring period is 276.2 mg / L.

[0071] P is the pH value of drinking water in the information sharing area during the monitoring period, which refers to the average pH value obtained from sampling monitoring of drinking water in the information sharing area during the monitoring period.

[0072] G' is the reference calcium ion content, which refers to the standard value specified for the calcium ion content.

[0073] P′ is the reference value of the pH level of drinking water, which refers to the standard value of the pH level of drinking water.

[0074] y2 is the correction factor corresponding to the drinking water quality index predefined in the government data sharing database.

[0075] In a specific embodiment, a fitting curve is obtained by fitting the historical calcium ion content, historical pH value and drinking water quality index of the information sharing area, and the real-time calcium ion content and pH value are brought into the fitting curve to obtain the correction factor corresponding to the drinking water quality index in this embodiment. At the same time, the value range in this embodiment is (0, 1).

[0076] Specifically, the soil quality indicators of the information sharing area are analyzed in the following steps:

[0077] The soil quality index of the information sharing area is comprehensively analyzed. In this embodiment, the soil quality index is obtained by comprehensively analyzing the pH value of the soil in the information sharing area, the soil moisture value of the information sharing area at each monitoring time point, the soil pH reference value and the soil moisture reference value predefined in the government data sharing database, so as to determine the soil quality index of the information sharing area. In this embodiment, a more accurate calculation method is used to obtain the soil quality index. The specific expression is:

[0078]

[0079] Wherein TR is the soil quality index of the information sharing area. In this embodiment, if the soil quality of the information sharing area is to be improved, it is necessary to ensure that the pH value and the soil moisture value in the soil of the information sharing area are within a reasonable range and are relatively close to the preset reference value. If the pH value of the soil in the information sharing area is too large, that is, the soil is alkaline, or the pH value is too small, that is, the soil is acidic, the quality of the soil will be affected. At the same time, the aluminum ions in the acidic soil may combine with the water molecules in the soil to form hydrates, thereby reducing the moisture value of the soil, while the cations such as calcium and magnesium in the alkaline soil may contribute to the coagulation of soil particles and the stability of the structure, improve the water retention capacity of the soil, and increase the moisture value of the soil.

[0080] In this embodiment, there is a mutual influence between the pH value in the above-mentioned soil and the pH value in the above-mentioned drinking water. Drinking water is obtained from the moisture in the soil and is processed. If the pH value in the soil changes greatly, then the pH value in the drinking water will also change relatively greatly; the above-mentioned soil moisture value will be affected by the humidity value of the above-mentioned information sharing area at each monitoring time point. If the humidity value of the information sharing area at each monitoring time point is large and the water molecule content in the air is large, then when the water molecules penetrate into the soil, it will affect the soil moisture value and increase accordingly.

[0081] H is the pH value of the soil in the information sharing area, which refers to the average pH value obtained from sampling monitoring of the soil in the information sharing area during the monitoring period.

[0082] H′ is the reference value of soil acidity and alkalinity, which refers to the preset standard value of soil acidity and alkalinity.

[0083] TS i is the soil moisture value of the information sharing area at the i-th monitoring time point, which refers to the soil moisture value obtained by sampling and monitoring the soil in the information sharing area at different monitoring time points.

[0084] i is the number of each monitoring time point, i = 1, 2, 3, ..., m, and m is the total number of monitoring time points.

[0085] TS′ is the soil moisture reference value, which refers to the preset soil moisture standard value.

[0086] y3 is the correction factor corresponding to the soil quality index predefined in the government data sharing database.

[0087] In a specific embodiment, a fitting curve is obtained by fitting the historical soil pH, historical soil moisture values ​​and soil quality indicators of the information sharing area, and the real-time soil pH and soil moisture values ​​are brought into the fitting curve to obtain the correction factor corresponding to the soil quality indicator in this embodiment. At the same time, the value range in this embodiment is (0, 1).

[0088] Accuracy determination: The processor synchronously collects reference ecological environment data of the information sharing area, and conducts comprehensive analysis with the air quality indicators, drinking water quality indicators and soil quality indicators of the information sharing area to determine the accuracy value of information sharing in the information sharing area.

[0089] Furthermore, the reference ecological environment data of the information sharing area specifically include reference air quality indicators, reference drinking water quality indicators and reference soil quality indicators of the information sharing area.

[0090] Specifically, the information sharing accuracy value of the information sharing area is analyzed in the following process:

[0091] In this embodiment, the information sharing accuracy value of the information sharing area is obtained by comprehensive analysis of the reference ecological environment data of the information sharing area and the air quality index, drinking water quality index and soil quality index of the information sharing area. This is used to determine the information sharing accuracy value of the information sharing area. In this embodiment, a more accurate calculation method is used to obtain it. The specific expression is:

[0092] β=A1 |KQ-KQ′|+|YS-YS′|+|TR-TR′| ;

[0093] Wherein β is the accuracy value of information sharing in the information sharing area. In this embodiment, if the accuracy of information sharing is to be ensured to be high, it is necessary to ensure that the air quality index, drinking water quality index and soil quality index of the information sharing area are relatively close to the actual quality index. The smaller the difference between the air quality index and the actual quality index, the higher the accuracy. Assessing the air quality in the information sharing area can help identify parameters such as the concentration of pollutants and temperature in the air, and reduce potential air pollution risks. Assessing the drinking water quality in the information sharing area can ensure that the content of harmful substances in the water is within a safe range and ensure the quality and safety of drinking water. Assessing the soil quality in the information sharing area, high-quality soil can maintain ecological balance such as soil and water loss and rich biodiversity. In summary, assessing the ecological environment quality index in the information sharing area can give a quantitative standard for the ecological environment quality, so as to understand the current status and problems of the ecological environment more scientifically. Therefore, accurate assessment of the ecological environment quality index can ensure the accuracy of information and improve the execution efficiency of government information sharing.

[0094] KQ is the air quality index of the information sharing area, which means that the air quality index of the information sharing area is obtained through comprehensive analysis of the maximum temperature of the information sharing area during the monitoring period, the maximum humidity change angle value of the information sharing area during the monitoring period, and the particle diffusion rate of the information sharing area at each monitoring time point.

[0095] YS is the drinking water quality index of the information sharing area, which means that the drinking water quality index of the information sharing area is obtained through comprehensive analysis of the calcium ion content of drinking water in the information sharing area during the monitoring period, the pH value of drinking water in the information sharing area during the monitoring period, the calcium ion reference content predefined in the government data sharing database, and the drinking water pH reference value.

[0096] TR is the soil quality index of the information sharing area, which means that the soil quality index of the information sharing area is obtained through comprehensive analysis of the pH value of the soil in the information sharing area, the soil moisture value of the information sharing area at each monitoring time point, and the soil pH reference value and soil moisture reference value predefined in the government data sharing database.

[0097] The reference air quality index of the KQ′ information sharing area refers to the air quality index pre-set in the information sharing area.

[0098] YS′ is the reference drinking water quality index of the information sharing area, which refers to the drinking water quality index pre-set in the information sharing area.

[0099] TR′ is the reference soil quality index of the information sharing area, which refers to the soil quality index pre-set in the information sharing area.

[0100] A1 is the correction factor corresponding to the information sharing accuracy value predefined in the government data sharing database.

[0101] In a specific embodiment, a fitting curve is obtained by fitting the historical air quality indicators, historical drinking water quality indicators, historical soil quality indicators and the information sharing accuracy value of the information sharing area, and the real-time air quality indicators, drinking water quality indicators and soil quality indicators are introduced into the fitting curve to obtain the correction factor corresponding to the information sharing accuracy value in this embodiment. At the same time, the value range in this embodiment is (0, 1).

[0102] In this embodiment, the reference air quality index is set to 80 percent, the reference drinking water quality index is set to 95 percent, the reference soil quality index is set to 75 percent, and the correction factor corresponding to the information sharing accuracy value is set to 0.52.

[0103] In this embodiment, the information sharing accuracy values ​​of the above information sharing areas are as shown in Table 2:

[0104] Table 2 Data changes between information sharing accuracy values ​​and their parameters

[0105]

[0106] In this embodiment, according to the table of information sharing accuracy values ​​of the above-mentioned information sharing areas, when the air quality index, drinking water quality index and soil quality index of the information sharing area are all at a high level and close to the real-time quality index, the information sharing accuracy value of the information sharing area is relatively large. Therefore, if the information sharing accuracy value of the information sharing area is to be at a high level, corresponding measures need to be taken to reduce the difference between the quality index and the real-time quality index.

[0107] Information sharing and display: Compare the information sharing accuracy value of the information sharing area with the preset accuracy reference value. If the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area will be shared through the ecological environment information disclosure platform, thereby completing the shared display of ecological environment monitoring data in government information.

[0108] Furthermore, the shared display of ecological environment monitoring data in government information is completed, and the specific analysis process is as follows:

[0109] The information sharing accuracy value of the information sharing area shall be compared with the accuracy reference value preset in the government data sharing database. If the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area shall be shared through the ecological environment information disclosure platform, thereby completing the shared display of ecological environment monitoring data in government information.

[0110] The above-mentioned sharing of ecological environment monitoring data in the information sharing area is carried out through the ecological environment information disclosure platform. Specifically, if the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment information disclosure platform will automatically upload the ecological environment monitoring data of the information sharing area to the front-end display interface of the disclosure platform, so as to realize the sharing of ecological environment monitoring data among all levels and departments and the general public, which will help break down information silos and improve the utilization efficiency of data resources.

[0111] If the information sharing accuracy value of the information sharing area is lower than the accuracy reference value, it means that when monitoring the ecological environment of the information sharing area, the data acquisition and analysis are not accurate, and there may be operational deviations in the monitoring process. Therefore, the data to be shared should be verified by data verification code, hash verification and other methods to improve the accuracy and completeness of the information, so as to ensure that the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value.

[0112] Reference Figure 2 As shown, the second aspect of the present invention provides a government information sharing system based on big data, including: a monitoring data receiving module, a quality indicator evaluation module, an accuracy determination module, and an information sharing and display module.

[0113] The second aspect of the present invention provides a government information sharing system based on big data, which also includes: a government data sharing database, which is used to store accuracy reference values, adaptation temperatures, humidity change adaptation angle values, particle diffusion speeds, calcium ion reference content, drinking water pH reference values, soil pH reference values, soil moisture reference values ​​and preset values ​​of various factors.

[0114] The monitoring data receiving module is connected to the quality index evaluation module, the quality index evaluation module is connected to the accuracy determination module, the accuracy determination module is connected to the information sharing display module, and the quality index evaluation module, the accuracy determination module and the information sharing display module are all connected to the government data sharing database.

[0115] The monitoring data receiving module is used for the big data sharing cloud platform to respond to and receive the ecological environment monitoring data of the information sharing area uploaded by the data transmission port of the ecological environment monitoring equipment connected to the Internet.

[0116] The quality index evaluation module is used for the processor to receive the ecological environment monitoring data sent by the big data sharing cloud platform, and based on the ecological environment monitoring data, the processor evaluates the air quality index, drinking water quality index and soil quality index of the information sharing area respectively.

[0117] The accuracy determination module is used for the processor to synchronously collect reference ecological environment data of the information sharing area, and comprehensively analyze it with the air quality indicators, drinking water quality indicators and soil quality indicators of the information sharing area to determine the information sharing accuracy value of the information sharing area.

[0118] The information sharing and display module is used to compare the information sharing accuracy value of the information sharing area with a preset accuracy reference value. If the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area will be shared through the ecological environment information disclosure platform, thereby completing the shared display of ecological environment monitoring data in government information.

[0119] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A government information sharing method based on big data, characterized in that: include: Monitoring data reception: The big data sharing cloud platform responds to and receives the ecological environment monitoring data of the information sharing area uploaded by the data transmission port of the ecological environment monitoring equipment connected to the Internet; Quality index evaluation: The processor receives the ecological environment monitoring data sent by the big data sharing cloud platform. Based on the ecological environment monitoring data, the processor evaluates the air quality index, drinking water quality index and soil quality index of the information sharing area respectively; Accuracy determination: The processor synchronously collects reference ecological environment data of the information sharing area, and comprehensively analyzes it with the air quality index, drinking water quality index and soil quality index of the information sharing area to determine the accuracy value of information sharing in the information sharing area; Information sharing and display: Compare the information sharing accuracy value of the information sharing area with the preset accuracy reference value. If the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area will be shared through the ecological environment information disclosure platform, thereby completing the shared display of ecological environment monitoring data in government information.

2. The government information sharing method based on big data according to claim 1 is characterized by: The specific analysis process of completing the shared display of ecological environment monitoring data in government information is as follows: The information sharing accuracy value of the information sharing area shall be compared with the accuracy reference value preset in the government data sharing database. If the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area shall be shared through the ecological environment information disclosure platform, thereby completing the shared display of ecological environment monitoring data in government information.

3. The government information sharing method based on big data according to claim 1 is characterized by: The information sharing accuracy value of the information sharing area is specifically analyzed as follows: The reference ecological environment data of the information sharing area is comprehensively analyzed with the air quality indicators, drinking water quality indicators and soil quality indicators of the information sharing area to determine the accuracy of information sharing in the information sharing area. The specific expression is: Where β is the accuracy of information sharing in the information sharing area, KQ is the air quality index in the information sharing area, YS is the drinking water quality index in the information sharing area, TR is the soil quality index in the information sharing area, KQ ′ Reference air quality indicators for information sharing areas, YS ′ is the reference drinking water quality indicator for the information sharing area, TR ′ is the reference soil quality index of the information sharing area, and A1 is the correction factor corresponding to the information sharing accuracy value predefined in the government data sharing database.

4. The government information sharing method based on big data according to claim 3 is characterized by: The reference ecological environment data of the information sharing area specifically include reference air quality indicators, reference drinking water quality indicators and reference soil quality indicators of the information sharing area.

5. The government information sharing method based on big data according to claim 1 is characterized by: The ecological environment monitoring data of the information sharing area specifically includes air quality data, drinking water quality data and soil quality data of the information sharing area; The air quality data of the information sharing area specifically includes the temperature value of the information sharing area at each monitoring time point, the humidity value of the information sharing area at each monitoring time point, and the particle diffusion speed of the information sharing area at each monitoring time point; The drinking water quality data of the information sharing area specifically includes the calcium ion content of the drinking water in the information sharing area during the monitoring period and the pH value of the drinking water in the information sharing area during the monitoring period; The soil quality data of the information sharing area specifically includes the pH value of the soil in the information sharing area and the soil moisture value of the information sharing area at each monitoring time point.

6. The government information sharing method based on big data according to claim 1 is characterized by: The specific analysis process of the air quality indicators in the information sharing area is as follows: Arrange the temperature values ​​of the information sharing area at each monitoring time point in order from large to small, and record the temperature value ranked first as the maximum temperature of the information sharing area during the monitoring period; According to the humidity values ​​of the information sharing area at each monitoring time point, a humidity change polyline of the information sharing area is constructed, from which the humidity change angle between the maximum humidity value and the minimum humidity value is extracted and recorded as the maximum humidity change angle value of the information sharing area during the monitoring period; The particle diffusion velocity in the information sharing area at each monitoring time point is averaged to obtain the average particle diffusion velocity in the information sharing area during the monitoring period; The adapted temperature, humidity change adapted angle values ​​and particle definition diffusion speed are collected from the government data sharing database, and the air quality indicators of the information sharing area are comprehensively analyzed.

7. The government information sharing method based on big data according to claim 6 is characterized by: The air quality index of the information sharing area is specifically expressed as: Where KQ is the air quality index of the information sharing area, ΔW is the maximum temperature of the information sharing area during the monitoring period, and W ′ is the adaptation temperature, ΔS is the maximum humidity change angle value in the information sharing area during the monitoring period, S ′ Adapt the angle value for humidity change, V i is the particle diffusion rate in the information sharing area at the i-th monitoring time point, i is the number of each monitoring time point, i=1,2,3,...,m, m is the total amount at the monitoring time point, and y1 is the correction factor corresponding to the air quality index predefined in the government data sharing database.

8. The government information sharing method based on big data according to claim 1 is characterized by: The specific analysis process of the drinking water quality indicators in the information sharing area is as follows: The calcium ion content of drinking water in the information sharing area during the monitoring period and the pH value of drinking water in the information sharing area during the monitoring period are processed with the calcium ion reference content and drinking water pH reference value predefined in the government data sharing database to comprehensively analyze the drinking water quality indicators in the information sharing area.

9. The government information sharing method based on big data according to claim 1 is characterized by: The specific analysis process of soil quality indicators in the information sharing area is as follows: The pH values ​​of the soil in the information sharing area and the soil moisture values ​​in the information sharing area at each monitoring time point are processed with the soil pH reference values ​​and soil moisture reference values ​​predefined in the government data sharing database to comprehensively analyze the soil quality indicators in the information sharing area.

10. A system using the government information sharing method based on big data as described in any one of claims 1 to 9, characterized in that: include: A monitoring data receiving module, used for the big data sharing cloud platform to respond to and receive the ecological environment monitoring data of the information sharing area uploaded by the data transmission port of the ecological environment monitoring equipment connected to the Internet; The quality index evaluation module is used for the processor to receive the ecological environment monitoring data sent by the big data sharing cloud platform, and evaluate the air quality index, drinking water quality index and soil quality index of the information sharing area through the processor according to the ecological environment monitoring data; An accuracy determination module is used for the processor to synchronously collect reference ecological environment data of the information sharing area, and comprehensively analyze it with the air quality index, drinking water quality index and soil quality index of the information sharing area to determine the accuracy value of information sharing in the information sharing area; The information sharing and display module is used to compare the information sharing accuracy value of the information sharing area with the preset accuracy reference value. If the information sharing accuracy value of the information sharing area is higher than or equal to the accuracy reference value, the ecological environment monitoring data of the information sharing area will be shared through the ecological environment information disclosure platform, thereby completing the shared display of ecological environment monitoring data in government information.

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