Method, device and computer device for determining environmental risk early warning factors

Abstract

The application relates to a method and device for determining an environmental risk early warning factor, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining enterprise chemical substance information and general chemical substance information, and determining an early warning factor preliminary screening list, wherein the early warning factor preliminary screening list comprises first enterprise chemical substance information of each target enterprise chemical substance, the first enterprise chemical substance information comprises enterprise chemical substance identification, enterprise chemical substance production data and enterprise chemical substance storage data, and the enterprise chemical substance information comprises the first enterprise chemical substance information; performing physical property parameter analysis and human health parameter analysis on the target enterprise chemical substance, and determining physical property parameters and human health hazard data of the target enterprise chemical substance; determining hazard degree data of each target enterprise chemical substance based on the enterprise chemical substance production data, the enterprise chemical substance storage data, the physical property parameters and the human health hazard data; and determining a target environmental risk early warning factor according to the hazard degree data. The method can improve the accuracy of determining the environmental risk early warning factor.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of industrial environment, and in particular to a method and device for determining an environmental risk early warning factor, a computer device, a storage medium, and a computer program product. BACKGROUND

[0002] With the development of economy and technology, industrial enterprises have also developed rapidly. In the production process, industrial enterprises release substances (such as toxic and harmful gases, atmospheric pollutants, etc.), which not only affect the health of people around the enterprises, but also pollute the air quality and ecological environment of the enterprise location.

[0003] Therefore, it is necessary to monitor, warn, and control the toxic and harmful atmospheric pollutants generated by industrial enterprises. At present, some chemical industrial parks in China have established an environmental risk early warning system for toxic and harmful atmospheric pollutants. However, the current environmental risk early warning system mainly focuses on environmental air pollutants, and has not formed a system of key indicators such as physical property parameters, human health hazard parameters, and actual existence amount, which may lead to inaccurate risk factors and ultimately inaccurate early warning and prediction or incorrect control focus, affecting the environmental risk management and early warning and prediction of industrial enterprises. SUMMARY

[0004] Therefore, it is necessary to provide a method and device for determining an environmental risk early warning factor that can improve the screening accuracy of the environmental risk early warning factor, a computer device, a computer readable storage medium, and a computer program product.

[0005] In a first aspect, the present application provides a method for determining an environmental risk early warning factor, the method comprising:

[0006] obtaining enterprise chemical substance information and common chemical substance information, the enterprise chemical substance information being information of chemical substances involved in enterprise production and environment, and the common chemical substance information being information of chemical substances involved in public data;

[0007] determining an early warning factor preliminary screening list according to the enterprise chemical substance information and the common chemical substance information, the early warning factor preliminary screening list including first enterprise chemical substance information of each target enterprise chemical substance, the first enterprise chemical substance information including enterprise chemical substance identification, enterprise chemical substance production data, and enterprise chemical substance storage data, and the enterprise chemical substance information including the first enterprise chemical substance information;

[0008] performing physical property parameter analysis on each target enterprise chemical substance to determine corresponding physical property parameters of each target enterprise chemical substance, and performing human health parameter analysis on each target enterprise chemical substance to determine corresponding human health hazard data of each target enterprise chemical substance;

[0009] Based on the production data of each of the enterprise chemical substances, the storage data of the enterprise chemical substances, and the physical property parameters and the human health hazard data, determine the hazard degree data of each of the target enterprise chemical substances;

[0010] According to each of the hazard degree data, determine the target environmental risk early warning factor.

[0011] In one of the embodiments, the obtaining of the enterprise chemical substance information and the general chemical substance information comprises:

[0012] Obtain the attribute data of the enterprise chemical substances, the enterprise emergency environmental event risk data, the historical production data of the enterprise, the environmental impact data, and the environmental risk data in the chemical professional database;

[0013] Statistically analyze the attribute data of the enterprise chemical substances, the enterprise emergency environmental event risk classification data, the historical production data, the environmental impact data, and the environmental risk data, to obtain the enterprise chemical substance information.

[0014] Obtain the general chemical substance information from the enterprise emergency environmental event risk classification data, policy consultation and materials, and emergency accident information and news.

[0015] In one of the embodiments, the enterprise chemical substance information further comprises second enterprise chemical substance information, the second enterprise chemical substance information comprises enterprise chemical substance critical quantity parameters and enterprise chemical substance attribute data, and the general chemical substance information carries a general chemical substance identifier; according to the enterprise chemical substance information and the general chemical substance information, determine a preliminary screening list of early warning factors, which comprises: extract enterprise chemical substances whose enterprise chemical substance critical quantity parameters meet a preset critical quantity parameter range and enterprise chemical substances whose enterprise chemical substance identifiers are the same as the general chemical substance identifier, to form a first early warning factor list; based on the attribute data of each of the enterprise chemical substances, determine the substance state and the substance property of each of the enterprise chemical substances in the first early warning factor list; according to each of the substance state and each of the substance property, screen the enterprise chemical substances in the first early warning factor list to determine a second early warning factor list; analyze the physical hazard, the health hazard, and the environmental hazard of each of the enterprise chemical substances in the second early warning factor list respectively, and screen the enterprise chemical substances in the second early warning factor list according to the analysis results to determine a third early warning factor list; based on the air-related risk property, screen out enterprise chemical substances in the third early warning factor list that meet the atmospheric environmental risk substance judgment condition, to obtain the preliminary screening list of early warning factors.

[0016] In one of the embodiments, the physical property parameter analysis on each of the target enterprise material determines the corresponding physical property parameter of each of the target enterprise material, including: obtaining the saturated vapor pressure and the relative molecular mass of each of the target enterprise material; determining the corresponding physical property parameter of each of the target enterprise material based on the quotient of the corresponding saturated vapor pressure and the relative molecular mass of each of the target enterprise material.

[0017] In one of the embodiments, the human health hazard data includes at least one of a first acute toxicity parameter, a cancer risk parameter, a second acute toxicity parameter, a first health risk parameter, and a second health risk parameter; the human health parameter analysis on each of the target enterprise material determines the corresponding human health hazard data of each of the target enterprise material, including: querying a chemical professional database to obtain the test object, the test time, and the first test data corresponding to each of the target enterprise material; determining the first acute toxicity parameter corresponding to each of the target enterprise material according to the test object, the test time, and the first test data.

[0018] In one of the embodiments, the determination of the human health hazard data corresponding to each of the target enterprise material includes: querying a comprehensive risk information database to obtain the second test data corresponding to each of the target enterprise material, and determining the cancer risk parameter corresponding to each of the target enterprise material according to the second test data.

[0019] In one of the embodiments, the determination of the human health hazard data corresponding to each of the target enterprise material includes: querying an occupational health exposure standard file to obtain the occupational exposure limit value corresponding to each of the target enterprise material, and determining the second acute toxicity parameter corresponding to each of the target enterprise material according to the occupational exposure limit value.

[0020] In one of the embodiments, the determination of the human health hazard data corresponding to each of the target enterprise material includes: querying a comprehensive risk information database to obtain the health risk reference data corresponding to each of the target enterprise material, and determining the first health risk parameter corresponding to each of the target enterprise material according to the health risk reference data.

[0021] In one of the embodiments, the determination of the human health hazard data corresponding to each of the target enterprise material includes: querying an atmospheric pollutant concentration limit value related standard to obtain the atmospheric pollutant concentration limit value corresponding to each of the target enterprise material, and determining the second health risk parameter corresponding to each of the target enterprise material according to the atmospheric pollutant concentration limit value.

[0022] In one of the embodiments, the determining of the hazard degree data of each of the target industrial substance based on the industrial substance production data, the industrial substance storage data, the physical property parameter, and the human health hazard data comprises: performing correlation analysis on each of the human health hazard data to determine associated human health hazard data and non-associated human health hazard data in the human health hazard data; and determining the hazard degree data of each of the target industrial substance based on the industrial substance production data, the industrial substance storage data, the physical property parameter, the non-associated human health hazard data, and target associated human health hazard data, the target associated human health hazard data being one of the associated human health hazard data.

[0023] In one of the embodiments, the performing of the correlation analysis on each of the human health hazard data to determine associated human health hazard data and non-associated human health hazard data in the human health hazard data comprises: obtaining each of the human health hazard data corresponding to each of the target industrial substance; performing correlation analysis on each of the human health hazard data to calculate a correlation coefficient between each of the human health hazard data; and determining the associated human health hazard data and the non-associated human health hazard data in the human health hazard data based on the correlation coefficient between each of the human health hazard data.

[0024] In one of the embodiments, the determining of the hazard degree data of each of the target industrial substance based on the industrial substance production data, the industrial substance storage data, the physical property parameter, the non-associated human health hazard data, and the target associated human health hazard data comprises: determining first hazard degree data based on a sum of a product of the non-associated human health hazard data and a corresponding attribute weight and a product of the target associated human health hazard data and a corresponding attribute weight; and determining the hazard degree data of each of the target industrial substance based on a product of the first hazard degree data and the industrial substance production data and the industrial substance storage data.

[0025] In one of the embodiments, the determining of the target environmental risk early warning factor based on each of the hazard degree data comprises: sorting each of the target industrial substance based on the hazard degree data of each of the target industrial substance to obtain sorted target industrial substance; and determining the target environmental risk early warning factor from the sorted target industrial substance based on a preset screening ratio.

[0026] In a second aspect, the present application further provides a device for determining an environmental risk early warning factor, the device comprising:

[0027] An information acquisition module is configured to acquire enterprise chemical substance information and common chemical substance information, the enterprise chemical substance information being information of chemical substances involved in enterprise production and environment, and the common chemical substance information being information of chemical substances involved in public data.

[0028] A preliminary screening list determination module is configured to determine a preliminary screening list of early warning factors based on the enterprise chemical substance information and the common chemical substance information, the preliminary screening list of early warning factors including first enterprise chemical substance information of each target enterprise chemical substance, the first enterprise chemical substance information including enterprise chemical substance identification, enterprise chemical substance production data, and enterprise chemical substance storage data, and the enterprise chemical substance information including the first enterprise chemical substance information.

[0029] A first data analysis module is configured to perform physical property parameter analysis on each target enterprise chemical substance to determine corresponding physical property parameter of each target enterprise chemical substance, and perform human health parameter analysis on each target enterprise chemical substance to determine human health hazard data corresponding to each target enterprise chemical substance.

[0030] A second data analysis module is configured to determine hazard degree data of each target enterprise chemical substance based on the enterprise chemical substance production data, the enterprise chemical substance storage data, and the physical property parameter and the human health hazard data.

[0031] An environmental risk early warning factor determination module is configured to determine a target environmental risk early warning factor based on each hazard degree data.

[0032] In a third aspect, the present application further provides a computer device, including a memory and a processor, the memory storing a computer program, and the processor implementing steps of the method for determining an environmental risk early warning factor when executing the computer program.

[0033] In a fourth aspect, the present application further provides a computer readable storage medium, storing a computer program, and the computer program implementing steps of the method for determining an environmental risk early warning factor when executed by a processor.

[0034] In a fifth aspect, the present application further provides a computer program product, including a computer program, and the computer program implementing steps of the method for determining an environmental risk early warning factor when executed by a processor.

[0035] The method, device, computer device, storage medium and computer program product for determining an environmental risk early warning factor, by obtaining enterprise chemical substance information and common chemical substance information, screening chemical substances related to enterprise production and the environment according to the enterprise chemical substance information and the common chemical substance information, screening out target enterprise chemical substances, can to some extent more accurately screen out representative chemical substances, and further perform physical property parameter analysis and human health parameter analysis on the target enterprise chemical substances, obtain physical property parameters and human health hazard data, so that when calculating hazard degree data, the enterprise chemical substance production data, enterprise chemical substance storage data, and physical property parameters and human health hazard data can be comprehensively analyzed. Since the data involved is more comprehensive, the hazard degree data calculated is more accurate, and the target environmental risk early warning factor determined finally is more accurate. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 A flowchart of a method for determining an environmental risk early warning factor in an embodiment;

[0037] Figure 2 A flowchart of a method for determining an environmental risk early warning factor in another embodiment;

[0038] Figure 3 A flowchart of a method for determining an environmental risk early warning factor in another embodiment;

[0039] Figure 4 A flowchart of a method for determining an environmental risk early warning factor in an embodiment;

[0040] Figure 5 A flowchart of a method for determining an environmental risk early warning factor in an embodiment;

[0041] Figure 6 A structural block diagram of a device for determining an environmental risk early warning factor in an embodiment;

[0042] Figure 7 An internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0043] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0044] The method for determining an environmental risk early warning factor provided in the embodiments of the present application can be applied to a terminal. Specifically, the terminal acquires enterprise chemical substance information and public chemical substance information, the enterprise chemical substance information being information of chemical substances involved in enterprise production and the environment, and the public chemical substance information being information of chemical substances involved in public data; an early warning factor preliminary screening list is determined according to the enterprise chemical substance information and the public chemical substance information, the early warning factor preliminary screening list including first enterprise chemical substance information of each target enterprise chemical substance, the first enterprise chemical substance information including enterprise chemical substance identification, enterprise chemical substance production data, and enterprise chemical substance storage data, and the enterprise chemical substance information including the first enterprise chemical substance information; physical property parameter analysis is performed on each target enterprise chemical substance to determine corresponding physical property parameters of each target enterprise chemical substance, and human health parameter analysis is performed on each target enterprise chemical substance to determine human health hazard data corresponding to each target enterprise chemical substance; hazard degree data of each target enterprise chemical substance is determined based on the enterprise chemical substance production data, the enterprise chemical substance storage data, and the physical property parameters and the human health hazard data; and a target environmental risk early warning factor is determined according to the hazard degree data. Optionally, the above method for determining an environmental risk early warning factor can also be applied to a server. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things device can be a smart speaker, a smart television, a smart air conditioner, a smart vehicle-mounted device, etc. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The server can be implemented by an independent server or a server cluster composed of multiple servers.

[0045] In one embodiment, as shown in Figure 1 A method for determining an environmental risk early warning factor is provided. The method is applied to a terminal, and includes the following steps:

[0046] In step S102, enterprise chemical substance information and public chemical substance information are acquired, the enterprise chemical substance information being information of chemical substances involved in enterprise production and the environment, and the public chemical substance information being information of chemical substances involved in public data.

[0047] The enterprise chemical substance information can refer to information of chemical substances released by an industrial enterprise in a production process, which can affect the health of people around the enterprise, pollute the air quality and the ecological environment of the location of the enterprise, etc. For ease of understanding, the enterprise chemical substances referred to in the subsequent embodiments refer to chemical substances involved in an industrial enterprise.

[0048] The industrial enterprises can be classified into large-scale industrial enterprises, medium-scale industrial enterprises and small-scale industrial enterprises according to the scale of the industrial enterprises, and the industrial enterprises can be classified into mining industry (such as oil and natural gas exploitation industry, coal development and washing industry, etc.), manufacturing industry (such as chemical raw material and chemical product manufacturing industry, pharmaceutical manufacturing industry, chemical fiber manufacturing industry, etc.), ecological environment protection and environmental governance industry, etc. according to the classification of national economic industry. When obtaining the enterprise and chemical substance information, the enterprise and chemical substance information of one industrial enterprise can be obtained, or the enterprise and chemical substance information of multiple industrial enterprises can be obtained.

[0049] The common chemical substance information in the public data can be referred to as common chemical substance information.

[0050] In one embodiment, the enterprise and chemical substance information and the common chemical substance information are obtained by: obtaining attribute data of the enterprise and chemical substance, enterprise emergency environmental event risk data, historical production data of the enterprise, environmental impact data and environmental risk data in a chemical professional database; and performing statistical analysis on the attribute data of the enterprise and chemical substance, the enterprise emergency environmental event risk classification data, the historical production data, the environmental impact data and the environmental risk data to obtain the enterprise and chemical substance information.

[0051] Specifically, taking the enterprise and chemical substance information of one industrial enterprise as an example, the attribute data of each enterprise and chemical substance can be obtained by querying the chemical professional database. The attribute data can include the physical state and substance properties of each enterprise and chemical substance. The enterprise and chemical substance critical quantity parameter can be determined by the enterprise emergency environmental event risk classification data. The enterprise and chemical substance critical quantity parameter refers to the quantity of each enterprise and chemical substance according to the substance toxicity, environmental hazard and easy diffusion characteristics. The historical production data, the environmental impact data and the environmental risk data of the industrial enterprise can be obtained by investigating the industrial enterprise. The environmental impact data can be the environmental impact assessment report of the industrial enterprise, and the environmental risk data can be the environmental risk assessment report of the industrial enterprise.

[0052] The historical production data and the environmental impact data can be inversely calculated according to the process description and the material balance diagram, and the maximum use quantity or the maximum production quantity of the enterprise and chemical substance can be determined by using the mole balance and mass balance principles, and the unit is ton / year. The maximum use quantity or the maximum production quantity of the enterprise and chemical substance can be collectively referred to as enterprise and chemical substance production data, which can be used as enterprise and chemical substance information.

[0053] Further, the maximum existing amount of the enterprise chemical substance can also be determined according to the environmental risk data, and the risk hidden danger checking work is implemented on site to determine whether the production raw materials, products, intermediate products, by-products, catalysts, auxiliary production materials, fuels, and "three wastes" pollutants of the enterprise involve the enterprise chemical substance (mixed or diluted chemical substance is converted into pure substance according to the component proportion), if yes, the maximum existing amount of the enterprise chemical substance involved in the industrial enterprise is calculated (if the maximum existing amount is dynamically changed, the maximum existing amount in the year is calculated), and the maximum existing amount of the enterprise chemical substance is obtained as the enterprise chemical substance information.

[0054] The common chemical substance information is obtained from the enterprise emergency environmental event risk classification data, policy consultation and data, and emergency accident information and news.

[0055] Specifically, the enterprise emergency environmental event risk classification data can be the Enterprise Emergency Environmental Event Risk Classification Method (HJ941), and the policy consultation and data can be the policy documents related to the chemical control list. On the one hand, the chemical substance name, CAS (Chemical Abstracts Service) number, and critical amount of the chemical substance involved in HJ941 can be obtained, and on the other hand, the chemical substance name, CAS number, and substance characteristics of the chemical substance involved can be extracted from the policy documents related to the chemical control list, and the chemical substance name, CAS number, and other information of the chemical substance involved in the historical emergency leakage poisoning accident can be counted from the emergency accident information and news.

[0056] In step S104, the early warning factor preliminary screening list is determined according to the enterprise chemical substance information and the common chemical substance information. The early warning factor preliminary screening list includes the first enterprise chemical substance information of each target enterprise chemical substance, the first enterprise chemical substance information includes the enterprise chemical substance identifier, the enterprise chemical substance production data, and the enterprise chemical substance storage data, and the enterprise chemical substance information includes the first enterprise chemical substance information.

[0057] The target enterprise chemical substance determined after screening the enterprise chemical substance can be included in the early warning factor preliminary screening list, that is, the target enterprise chemical substance is obtained by screening the enterprise chemical substance, and the first enterprise chemical substance information included in the enterprise chemical substance information can be extracted from the enterprise chemical substance information.

[0058] The enterprise chemical substance identifier can be used to identify the corresponding enterprise chemical substance. Specifically, letters, numbers, feature codes, and CAS numbers of the enterprise chemical substance can be used as the enterprise chemical substance identifier, as long as different enterprise chemical substances can be distinguished. In one embodiment, the CAS number can be used as the enterprise chemical substance identifier.

[0059] The production data of the industrial substance can be the maximum usage or the maximum production of the target industrial substance in the industrial enterprise, and the storage data of the industrial substance can be the maximum amount of the target industrial substance in the industrial enterprise.

[0060] In step S106, the physical property parameter analysis is performed on each target industrial substance to determine the corresponding physical property parameters of each target industrial substance, and the human health parameter analysis is performed on each target industrial substance to determine the human health hazard data corresponding to each target industrial substance.

[0061] The physical property parameter analysis can be an analysis of the physical property parameter index data of the target industrial substance, so that the corresponding physical property parameters of the target industrial substance can be obtained. The physical property parameters can be parameters related to the volatility, diffusion speed, etc. of the target industrial substance itself.

[0062] The human health parameter analysis is an analysis of the human health hazard parameter index related to the target industrial substance, so that the human health hazard data can be obtained. The human health hazard data can be parameters that can reflect the health risks of each population.

[0063] In one embodiment, the physical property parameter analysis is performed on each target industrial substance to determine the corresponding physical property parameters of each target industrial substance, including: obtaining the saturated vapor pressure and the relative molecular mass of each target industrial substance; and determining the corresponding physical property parameters of each target industrial substance based on the quotient of the saturated vapor pressure and the relative molecular mass corresponding to each target industrial substance.

[0064] As shown in FIG. 1, the physical property parameter analysis is performed on each target industrial substance to determine the corresponding physical property parameters of each target industrial substance, including: obtaining the saturated vapor pressure and the relative molecular mass of each target industrial substance; and determining the corresponding physical property parameters of each target industrial substance based on the quotient of the saturated vapor pressure and the relative molecular mass corresponding to each target industrial substance. Figure 2 As shown in FIG. 1, the physical property parameter analysis is performed on each target industrial substance to determine the corresponding physical property parameters of each target industrial substance, including: obtaining the saturated vapor pressure and the relative molecular mass of each target industrial substance; and determining the corresponding physical property parameters of each target industrial substance based on the quotient of the saturated vapor pressure and the relative molecular mass corresponding to each target industrial substance.

[0065] In the physical property parameter analysis of the target substance, the Antoine parameter equation can be used for the target substance to calculate the saturated vapor pressure P in any state (such as normal temperature and pressure (25℃, 1 atm)) in kPa, and the relative molecular mass Mr of the target substance can be calculated by combining the standard atomic weight and the chemical formula in the chemical substance in the IUPAC (International Union of Pure and Applied Chemistry) published standard. The saturated vapor pressure and the relative molecular mass of each target substance can be calculated. After obtaining the saturated vapor pressure and the relative molecular mass of each target substance, the saturated vapor pressure of each target substance is divided by the relative molecular mass to obtain the physical property parameter of each target substance.

[0066] The human health hazard data can include at least one of a first acute toxicity parameter, a cancer risk parameter, a second acute toxicity parameter, a first health risk parameter, and a second health risk parameter. The first acute toxicity parameter can be an LC50 (half lethal concentration) parameter for all populations. The cancer risk parameter can be an IUR (inhalation unit risk) parameter for all populations. The second acute toxicity parameter is an OELs (occupational exposure limit) parameter for occupational populations. The first health risk parameter is an RfC (health risk reference exposure concentration) parameter for all populations. The second health risk parameter is an atmospheric pollutant concentration limit for general populations and sensitive populations.

[0067] In one embodiment, the human health parameter analysis of each target substance determines the human health hazard data corresponding to the target substance, including: querying a chemical professional database to obtain test subjects, test times, and first test data corresponding to each target substance; and determining a first acute toxicity parameter corresponding to each target substance according to the test subjects, test times, and first test data.

[0068] Specifically, the test subject can be a rat, and the first test data can include the concentration value and unit of LC50. By determining the test subject, the test time of the target substance on the test subject, and the concentration and concentration unit of LC50 generated in the test time, the test time and concentration unit are unified, such as test time in units of / h (per hour) and concentration unit in mg / m 3 (milligrams per cubic meter), to determine the first acute toxicity parameter.

[0069] In one embodiment, human health parameters are analyzed for each target chemical substance to determine the human health hazard data corresponding to the target chemical substance. This includes: querying a comprehensive risk information database to obtain second experimental data corresponding to each target chemical substance, and determining the cancer risk parameters corresponding to each target chemical substance based on the second experimental data.

[0070] Specifically, the integrated risk information database can refer to the EPA IRIS (Integrated Risk Information System) database, and the second experimental data can refer to the concentration values ​​and units of IUR, which are standardized by converting the concentration values ​​and units, such as to ug / m³. 3 (micrograms per cubic meter) to determine cancer risk parameters.

[0071] In one embodiment, human health parameter analysis is performed on each target chemical substance to determine the human health hazard data corresponding to the target chemical substance, including: querying occupational health exposure standard documents, obtaining occupational exposure limits corresponding to each target chemical substance, and determining the second acute toxicity parameter corresponding to each target chemical substance based on each occupational exposure limit.

[0072] Specifically, occupational health exposure standards can refer to GBZ 2.1. Occupational exposure limits can include MAC (Maximum Allowable Concentration), PC-STEL (Short-Term Exposure Limit), PC-TWA (Time-Weighted Average Allowable Concentration), PE (Peak Exposure Concentration), etc. When finalizing the values, the priority is determined as MAC > PC-STEL > PE, and the concentration values ​​and units can be standardized and converted to mg / m³. 3 Ultimately, the second acute toxicity parameter for the occupational population was determined.

[0073] In one embodiment, human health parameters are analyzed for each target chemical substance to determine the human health hazard data corresponding to the target chemical substance. This includes: querying a comprehensive risk information database to obtain health risk reference data corresponding to each target chemical substance, and determining the first health risk parameter corresponding to each target chemical substance based on the health risk reference data.

[0074] Specifically, the comprehensive risk information database can refer to the EPA IRIS database, which can obtain the concentration and unit of RfC corresponding to the target substance of the enterprise, and unify the concentration value and unit to mg / m³. 3 To determine the primary health risk parameter.

[0075] In one of the embodiments, the human health parameter analysis is performed on each target industrial substance, and human health hazard data corresponding to the target industrial substance is determined, including: querying the atmospheric pollutant concentration limit value related standard, obtaining the atmospheric pollutant concentration limit value corresponding to each target industrial substance, and determining the second health risk parameter corresponding to each target industrial substance according to each atmospheric pollutant concentration limit value.

[0076] Specifically, the atmospheric pollutant concentration limit value related standard can refer to a standard specification related to the atmospheric pollutant concentration limit value, the concentration and unit of the atmospheric pollutant corresponding to the industrial target substance can be obtained, and the concentration value and unit are unified and converted into mg / m 3 , and the second health risk parameter is determined.

[0077] After obtaining the human health hazard data, the human health hazard data of each target industrial substance can be classified, so that the degree of harm of each target industrial substance can be roughly determined according to the level of the human health hazard data.

[0078] Specifically, when classifying, a certain classification rule can be followed, and the first acute toxicity parameter is classified, which is essentially classified according to the concentration of LC50, wherein the unit of the data involved is (mg / m3), and LC50 浓度 ≤100 is determined as level 1, 100<LC50 浓度 ≤300 is level 2, 300<LC50 浓度 ≤2000 is level 3, 2000<LC50 浓度 ≤5000 is level 4, and LC50 浓度 >5000 is level 5.

[0079] For the cancer risk parameter, it is essentially classified according to the concentration of IUR, wherein the unit of the data involved is (μg / m 3 ), and IUR 浓度 ≤5.00E-06 is level 1, 5.00E-06<IUR 浓度 ≤1.00E-04 is level 2, 1.00E-04<IUR 浓度 ≤1.00E-03 is level 3, 1.00E-03<IUR 浓度 ≤1.00E-02 is level 4, and IUR 浓度 >1.00E-02 is level 5.

[0080] For the second acute toxicity parameter, it is classified according to the concentration of OELs, wherein the unit of the data involved is (mg / m 3 ), and OELs 浓度 ≤0.1 is level 1, 0.1<OELs 浓度≤1 is level 2, 1 < OELs 浓度 ≤10 is level 3, 10 < OELs 浓度 ≤50 is level 4, OELs 浓度 >50 is level 5.

[0081] For the first health risk parameter, the concentration of RfC can be graded, wherein the data involved are all in (mg / m 3 ), RfC 浓度 ≤1.00E-03 is level 1, 1.00E-03 < RfC 浓度 ≤1.00E-02 is level 2, 1.00E-02 < RfC 浓度 ≤1.00E-01 is level 3, 1.00E-01 < RfC 浓度 ≤1.00E+00 is level 4, RfC 浓度 >1.00E+00 is level 5.

[0082] For the second health risk parameter, the concentration of atmospheric pollutants can be graded, wherein the data involved are all in (mg / m 3 ), the concentration of atmospheric pollutants ≤0.10 is level 1, 0.10 < the concentration of atmospheric pollutants ≤1.00 is level 2, 1.00 < the concentration of atmospheric pollutants ≤10 is level 3, 10 < the concentration of atmospheric pollutants ≤50 is level 4, the concentration of atmospheric pollutants >50 is level 5.

[0083] In one of the embodiments, after obtaining the human health hazard data, the target chemical substances can also be sorted, specifically, the target chemical substances can be sorted according to the numerical values of the first acute toxicity parameter, the cancer risk parameter, the second acute toxicity parameter, the first health risk parameter, and the second health risk parameter corresponding to the target chemical substances. For the target chemical substances, the sorting can be carried out according to the priority: the first acute toxicity parameter is greater than the cancer risk parameter, the cancer risk parameter is greater than the second acute toxicity parameter, the second acute toxicity parameter is greater than the first health risk parameter, and the first health risk parameter is greater than the second health risk parameter. Specifically, in the first sorting according to the first acute toxicity parameter, if there is a target chemical substance whose first acute toxicity parameter is missing, the target chemical substance does not participate in the first sorting. After the sorting according to the first acute toxicity parameter is completed, the first sorting result is obtained, and it is determined whether the second acute toxicity parameter exists for the target chemical substances that do not participate in the first sorting. If it exists, the target chemical substances that do not complete the sorting in the first sorting and have the second acute toxicity parameter are sorted for the second time to obtain the second sorting result, and the second sorting result is placed behind the first sorting result. In this way, all target chemical substances are sorted.

[0084] In step S108, the hazard degree data of each target hazardous substance is determined based on the hazardous substance production data, the hazardous substance storage data, and the physical property parameter and human health hazard data.

[0085] The hazard degree data can be data for reflecting the hazard degree of each target hazardous substance to the environment and the human body. The hazard degree data of each target hazardous substance can be determined based on the hazardous substance production data, the hazardous substance storage data, and the physical property parameter and human health hazard data.

[0086] In one embodiment, the hazard degree data of each target hazardous substance is determined based on the hazardous substance production data, the hazardous substance storage data, the physical property parameter, and the human health hazard data, including: performing correlation analysis on the human health hazard data to determine associated human health hazard data and non-associated human health hazard data in the human health hazard data; and determining the hazard degree data of each target hazardous substance based on the hazardous substance production data, the hazardous substance storage data, the physical property parameter, the non-associated human health hazard data, and target associated human health hazard data which is one of the associated human health hazard data.

[0087] The associated human health hazard data refers to each type of data with relatively strong correlation in various human health hazard data, and the non-associated human health hazard data refers to each type of data with relatively weak correlation in various human health hazard data. Since each target hazardous substance corresponds to human health hazard data and the types of human health hazard data are relatively large, the data processing difficulty is increased. Therefore, the correlation analysis can be performed on the human health hazard data to determine the associated human health hazard data and the non-associated human health hazard data. The target associated human health hazard data can be selected from the associated human health hazard data for subsequent data analysis.

[0088] In one embodiment, before the correlation analysis, the correlation strength can be roughly evaluated. Specifically, the correlation strength can be evaluated according to the classification results of the human health hazard data of the target hazardous substance. Specifically, the data belonging to the same level in the human health hazard data can be determined as a positive correlation, and the data belonging to different levels in the human health hazard data can be determined as a negative correlation.

[0089] In one of the embodiments, the correlation analysis is performed on the human health hazard data to determine the associated human health hazard data and the non-associated human health hazard data in the human health hazard data, including: obtaining the human health hazard data corresponding to each target chemical substance; performing correlation analysis on each pair of human health hazard data to calculate the correlation coefficient between each pair of human health hazard data; and determining the associated human health hazard data and the non-associated human health hazard data in the human health hazard data based on the correlation coefficient between each pair of human health hazard data.

[0090] In the calculation of the correlation coefficient between each pair of human health hazard data, the human health hazard data is taken as the first acute toxicity parameter and the cancer risk parameter, and specifically, the first acute toxicity parameter of each target chemical substance and the cancer risk parameter of each target chemical substance are obtained, and the correlation coefficient R between the first acute toxicity parameter and the cancer risk parameter is calculated according to the following formula:

[0091]

[0092] wherein R is the correlation coefficient between the first acute toxicity parameter and the cancer risk parameter, X i is the first acute parameter of any one target chemical substance, is the mean value of the first acute parameters of the target chemical substances, Y j is the cancer risk parameter of any one target chemical substance, is the mean value of the cancer risk parameters of the target chemical substances.

[0093] After the correlation coefficient is calculated, if the correlation coefficient between the first acute toxicity parameter and the cancer risk parameter meets the preset correlation coefficient condition (the preset correlation coefficient condition can be greater than or equal to 0.85), it is determined that the first acute toxicity parameter and the cancer risk parameter have strong correlation, and the two are taken as the associated human health hazard data, otherwise, it is determined that the first acute toxicity parameter and the cancer risk parameter have weak correlation, and the two are taken as the non-associated human health hazard data, wherein the preset correlation coefficient condition can be adjusted according to the actual situation.

[0094] As shown in Table 1, the correlation coefficients between each pair of human health hazard parameters are calculated:

[0095] Table 1

[0096]

[0097] In one of the embodiments, based on the industrialization substance production data, the industrialization substance storage data, the physical property parameters, the non-correlation human health hazard data and the target correlation human health hazard data, the hazard degree data of each industrialization substance is determined, including: based on the sum of the product of the non-correlation human health hazard data and the corresponding attribute weight and the product of the target correlation human health hazard data and the corresponding attribute weight, the first hazard degree data is determined; according to the product of the first hazard degree data and the industrialization substance production data and the industrialization substance storage data, the hazard degree data of the target industrialization substance is determined.

[0098] The size of the attribute weight can be set according to the attribute of the human health hazard data. The corresponding product is obtained by multiplying the non-correlation human health hazard data and the corresponding attribute weight, and multiplying the target correlation human health hazard data and the corresponding attribute weight. The first hazard degree data is obtained by adding the corresponding products. Since the hazard degree of the industrialization substance to the human body is related to the production and storage amount, the hazard degree data is obtained by multiplying the first hazard degree data by the industrialization substance production data and the industrialization substance storage data.

[0099] In step S110, the target environmental risk early warning factor is determined according to the hazard degree data.

[0100] The target environmental risk early warning factor refers to the target industrialization substance that meets the demand and is screened from the target industrialization substance. After determining the hazard degree data of each target industrialization substance, the target environmental risk early warning factor can be determined according to the hazard degree data.

[0101] In one of the embodiments, the target environmental risk early warning factor is determined according to the hazard degree data, including: the target industrialization substance is sorted according to the hazard degree data of each target industrialization substance, and the sorted target industrialization substance is obtained; based on the preset screening ratio, the target environmental risk early warning factor is determined from the sorted target industrialization substance.

[0102] Specifically, the preset screening ratio can refer to the ratio of screening the target environmental risk early warning factor from the industrialization target substance. The preset screening ratio can be adaptively adjusted according to the actual situation of each industrial enterprise. First, the target industrialization substance can be sorted according to the numerical value of the hazard degree data in descending order, and the sorted target industrialization substance is obtained. Then, according to the preset screening ratio (such as 30%), the top 30% of the target industrialization substance is screened from the sorted target industrialization substance as the target environmental risk early warning factor.

[0103] In the method for determining the environmental risk early warning factor, the enterprise chemical substance information and the common chemical substance information are acquired, the chemical substances involved in enterprise production and the environment are screened according to the enterprise chemical substance information and the common chemical substance information, the target enterprise chemical substance is screened out, so that the representative chemical substances can be more accurately screened out to a certain extent, and the physical property parameter analysis and the human health parameter analysis are further performed on the target enterprise chemical substance, the physical property parameter and the human health hazard data are obtained, so that when the hazard degree data is calculated, the enterprise chemical substance production data, the enterprise chemical substance storage data, and the physical property parameter and the human health hazard data can be comprehensively analyzed, the hazard degree data is more accurate due to the more comprehensive data, and the finally determined target environmental risk early warning factor is more accurate.

[0104] In one of the embodiments, the enterprise chemical substance information further includes second enterprise chemical substance information, the second enterprise chemical substance information includes enterprise chemical substance critical quantity parameters and enterprise chemical substance attribute data, and the common chemical substance information carries common chemical substance identifiers; and the early warning factor preliminary screening list is determined according to the enterprise chemical substance information and the common chemical substance information, including: extracting enterprise chemical substances with enterprise chemical substance critical quantity parameters meeting a preset critical quantity parameter range and enterprise chemical substances with enterprise chemical substance identifiers same as common chemical substance identifiers, to form a first early warning factor list.

[0105] The second enterprise chemical substance information can be extracted from the enterprise chemical substance information.

[0106] The enterprise chemical substance critical quantity parameters refer to quantities of each enterprise chemical substance defined according to substance toxicity, environmental hazard, and easy diffusion characteristics, the enterprise chemical substance attribute data can include physical states and substance properties of each enterprise chemical substance, and the common chemical substance identifiers can be used to identify corresponding common chemical substances, specifically, letters, numbers, feature codes, and CAS (Chemical Abstracts Service) numbers of common chemical substances can be used as common chemical substance identifiers, as long as different common chemical substances can be distinguished. In one embodiment, the CAS number can be used as the common chemical substance identifier.

[0107] The first early warning factor list can be determined according to the enterprise chemical substance information and the common chemical substance information, when the first early warning factor list is determined, the first early warning factor list can be formed according to enterprise chemical substances with enterprise chemical substance critical quantity parameters greater than a preset value (the preset value can be 1, and the specific value of the preset value can be adaptively modified according to actual conditions), and the first early warning factor list can be formed according to enterprise chemical substances with enterprise chemical substance identifiers same as common chemical substance identifiers by comparing the enterprise chemical substance identifiers and the common chemical substance identifiers. Thus, the above method can be used to select enterprise chemical substances that preliminarily meet the requirements.

[0108] On the basis of obtaining the first early warning factor list, the enterprise and chemical substances in the first early warning factor list can be screened according to the chemical substance property data, and the early warning factor preliminary screening list is determined. Thus, by comprehensively considering various key indicators, the effective target enterprise and chemical substances are screened out.

[0109] On the basis of the above embodiment, after obtaining the first early warning factor list, the enterprise and chemical substances in the first early warning factor list are screened, as shown in Figure 3 The chemical substance property screening of the enterprise and chemical substances in the first early warning factor list is performed based on the attribute data of each enterprise and chemical substance, and the early warning factor preliminary screening list is determined, including:

[0110] Step S302, based on the attribute data of each enterprise and chemical substance, the substance state and substance property of each enterprise and chemical substance in the first early warning factor list are determined.

[0111] The substance state can refer to the state of the enterprise and chemical substance in any state (such as normal temperature and pressure state), for example, the substance state can be gaseous, liquid, solid, etc. The substance property can refer to the characteristics of the enterprise and chemical substance. Specifically, the substance property can include the flash point of the enterprise and chemical substance, whether it will decompose and release heat after encountering water, whether it will emit toxic and corrosive smoke, whether it will produce highly toxic smoke after thermal decomposition, etc.

[0112] Step S304, according to the substance state and the substance property, the enterprise and chemical substances in the first early warning factor list are screened, and the second early warning factor list is determined.

[0113] When screening the enterprise and chemical substances in the first early warning factor list according to the substance state and the substance property, the enterprise and chemical substances with low flash point, decomposition and heat release after encountering water, emission of toxic and corrosive smoke, and production of highly toxic smoke after thermal decomposition can be screened to form the second early warning factor list. At the same time, the enterprise and chemical substances with flash point between -218℃ and 196℃, boiling point between -252.8℃ and 392℃, and molecular weight between 2.02 and 262.3 can be added to the second early warning factor list. The enterprise and chemical substances can also be divided into low flash point liquid, medium flash point liquid, and high flash point liquid, and the enterprise and chemical substances with boiling point between 101.2℃ and 180℃, and saturated vapor pressure greater than 0.172kPa at room temperature can be added to the second early warning factor list.

[0114] Step S306, the physical harm, health harm and environmental harm of each enterprise and chemical substance in the second early warning factor list are analyzed, and the enterprise and chemical substances in the second early warning list are screened according to the analysis results, and the third early warning factor list is determined.

[0115] After obtaining the second warning factor list, physical hazards, health hazards, and environmental hazards can be analyzed separately. Specifically, physical hazard analysis can be performed first. Based on chemical substances in the second warning factor list that meet any one of the following conditions: flammable gas (solid), flammable liquid, spontaneously combustible solid, pressurized gas, substances and mixtures that release flammable gas upon contact with water, a third warning factor list can be formed. Then, health hazard analysis can be performed. Based on chemical substances in the second warning factor list that meet any one of the following conditions: skin corrosion / irritation, severe eye damage / eye irritation, specific target organ toxicity, acute toxicity - oral, acute toxicity - dermal, acute toxicity - inhalation, severe eye damage / eye irritation, skin sensitizer, carcinogenicity, reproductive toxicity, inhalation hazard, etc., a third warning factor list can be formed. Finally, environmental hazard analysis can be performed. Based on chemical substances in the second warning factor list that meet any one of the following conditions: harm to the aquatic environment - acute hazard, harm to the aquatic environment - long-term hazard, a third warning factor list can be formed.

[0116] Step S308: Based on the nature of air pollution risks, select chemical substances from the third warning factor list that meet the criteria for judging atmospheric environmental risk substances, and obtain the preliminary list of warning factors.

[0117] After obtaining the list of third warning factors, it is necessary to conduct an environmental risk assessment on the chemical substances listed in the list. Specifically, it can be determined whether the raw materials, products, intermediate products, by-products, catalysts, auxiliary production materials, fuels, and "three wastes" pollutants involved in the chemical substances listed in the third warning factor list involve substances posing atmospheric environmental risks. The chemical substances that meet the criteria are screened out according to the categories of toxic gaseous substances, flammable and explosive gaseous substances, toxic liquid substances, flammable liquid substances, substances that produce toxic gaseous substances upon contact with water, substances with acute health hazards (Category 2 and Category 3), substances that endanger the aquatic environment (Acute toxicity category: Acute 1, Chronic toxicity categories: Chronic 1 and Chronic 2), and oily substances.

[0118] In the above embodiments, the effectiveness of the screened chemical substances can be improved by screening the chemical substances in the first warning factor list layer by layer.

[0119] In one embodiment, reference Figure 4 The diagram shown is a flowchart illustrating the process of obtaining a list of first warning factors based on information about chemical substances involved in the company's production and environment, as well as information about chemical substances involved in public data, in a specific embodiment.

[0120] Firstly, the historical production data, environmental impact data and environmental risk data of the industrial enterprise can be acquired, wherein the environmental impact data can be the environmental impact assessment report of the industrial enterprise, and the environmental risk data can be the environmental risk assessment report of the industrial enterprise. For the historical production data and the environmental impact data, the maximum use amount or the maximum production amount of the enterprise-use substance can be determined according to the process description and the material balance diagram, and the unit is unified as ton / year. According to the environmental risk data, the maximum existing amount of the enterprise-use substance can be determined, and the production raw materials, products, intermediate products, by-products, catalysts, auxiliary production materials, fuels and "three wastes" pollutants of the enterprise are combined with the on-site implementation of risk hidden danger investigation to determine whether they involve the enterprise-use substance (mixed or diluted chemical substance is converted into pure substance according to its component proportion), if yes, the maximum existing amount of the enterprise-use substance involved in the industrial enterprise is calculated (if the maximum existing amount is dynamically changed, the maximum existing amount in the year is calculated), and the unit is unified as ton / year, and a certain industrial enterprise chemical substance database is established.

[0121] Secondly, the enterprise-use substance information can be acquired from the enterprise sudden environmental event risk classification data, policy consultation and data, and sudden accident information and news. Specifically, the substance name, CAS (Chemical Abstracts Service) number and critical amount of the chemical substance involved in HJ941 can be acquired. On the other hand, the substance name, CAS number and substance characteristics of the chemical substance involved in the policy file related to the chemical control list can be extracted, and the substance name, CAS number and other information of the chemical substance involved in the history sudden release poisoning accident in the sudden accident information and news can be counted, and a preliminary screening general database is established.

[0122] According to the certain industrial enterprise chemical substance database and the preliminary screening general database, the first early warning factor list is determined.

[0123] In one embodiment, as shown in FIG. 1, a flowchart of the data processing process of the target enterprise-use substance in the early warning factor preliminary screening list in a specific embodiment is shown. Figure 5

[0124] In this embodiment, the analysis of the physical property parameters and the human health hazard parameters is carried out. Since the volatility of the target enterprise-use substance is proportional to the saturated vapor pressure, the diffusion speed of the target enterprise-use substance is inversely proportional to the relative molecular mass, and the harm characteristics of the target enterprise-use substance to the human body after emission are related to the volatility and diffusion speed of the chemical substance itself, therefore, in the analysis of the physical property parameters, the harm characteristics of the target enterprise-use substance to the human body can be more accurately determined by combining the factors of the saturated vapor pressure and the relative molecular mass.

[0125] ​In the analysis of the physical property parameters of the target substance, for the target substance, the Antoine parameter equation can be used to calculate the saturated vapor pressure P in any state (such as normal temperature and pressure (25℃, 1 atm)) in kPa, and the relative molecular mass Mr of the target substance can be calculated by combining the standard atomic weight and the chemical formula of the chemical substance in the standard handbook of chemical substances published by IUPAC (International Union of Pure and Applied Chemistry). For each target substance, the corresponding saturated vapor pressure and relative molecular mass of the target substance can be calculated. After obtaining the saturated vapor pressure and relative molecular mass of each target substance, the saturated vapor pressure of each target substance is divided by the relative molecular mass to obtain the comprehensive parameter of the physical and chemical properties of each target substance.

[0126] In the analysis of human health hazard data, LC50 (half lethal concentration) parameters for all populations, IUR (inhalation unit risk) parameters for all populations, OELs (occupational exposure limit) parameters for occupational populations, RfC (health risk reference exposure concentration) parameters for all populations, and atmospheric pollutant concentration limits for general population and sensitive population are analyzed to determine the level of human health hazard data of each target substance, and the correlation coefficient between each human health hazard data, and to determine the relevance of human health hazard data and non-relevance of human health hazard data according to the correlation coefficient.

[0127] Finally, according to the comprehensive parameter of the physical and chemical properties of each target substance, the relevance of human health hazard data and the non-relevance of human health hazard data, the final target early warning factor is determined, and the environmental risk early warning factor list of toxic and harmful atmospheric pollutants is determined according to the target early warning factor.

[0128] It should be understood that although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the direction of the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0129] Based on the same inventive concept, the embodiment of the present application further provides a device for determining environmental risk early warning factors, which is used to implement the method for determining environmental risk early warning factors. The device provides a solution similar to the implementation solution described in the above method, and therefore the specific limitations in one or more device embodiments for determining environmental risk early warning factors provided below can refer to the limitations of the method for determining environmental risk early warning factors described above, which will not be repeated here.

[0130] In one embodiment, as shown in Figure 6 An apparatus for determining environmental risk early warning factors is provided, comprising: an information acquisition module, an early warning factor preliminary screening list determination module, a first data analysis module, a second data analysis module, and an environmental risk early warning factor determination module, wherein:

[0131] The information acquisition module 602 is configured to acquire enterprise chemical substance information and common chemical substance information. The enterprise chemical substance information is information of chemical substances involved in enterprise production and the environment. The common chemical substance information is information of chemical substances involved in public data. The common chemical substance information is acquired from enterprise environmental emergency event risk classification data, policy consultation and data, and sudden accident information and news.

[0132] The early warning factor preliminary screening list determination module 604 is configured to determine an early warning factor preliminary screening list according to the enterprise chemical substance information and the common chemical substance information. The early warning factor preliminary screening list includes first enterprise chemical substance information of each target enterprise chemical substance. The first enterprise chemical substance information includes enterprise chemical substance identification, enterprise chemical substance production data, and enterprise chemical substance storage data. The enterprise chemical substance information includes the first enterprise chemical substance information.

[0133] The first data analysis module 606 is configured to perform physical property parameter analysis on each target enterprise chemical substance to determine corresponding physical property parameter of each target enterprise chemical substance, and perform human health parameter analysis on each target enterprise chemical substance to determine corresponding human health hazard data of each target enterprise chemical substance.

[0134] The second data analysis module 608 is configured to determine hazard degree data of each target enterprise chemical substance based on the enterprise chemical substance production data, the enterprise chemical substance storage data, and the physical property parameter and the human health hazard data.

[0135] The environmental risk early warning factor determination module 610 is configured to determine a target environmental risk early warning factor according to each hazard degree data.

[0136] In one embodiment, the information acquisition module comprises an enterprise chemical information acquisition module.

[0137] The enterprise and chemical information acquisition module is configured to acquire attribute data of enterprise and chemical substances, enterprise environmental event risk data, historical production data of enterprises, environmental impact data, and environmental risk data in a chemical database; and perform statistical analysis on the attribute data of enterprise and chemical substances, enterprise environmental event risk classification data, historical production data, environmental impact data, and environmental risk data to obtain enterprise and chemical substance information.

[0138] In one of the embodiments, the early warning factor preliminary screening list determination module is configured to extract enterprise and chemical substances whose enterprise and chemical critical quantity parameters meet preset critical quantity parameter ranges and enterprise and chemical substances whose enterprise and chemical substance identifiers are the same as general chemical substance identifiers to form a first early warning factor list; perform chemical substance property screening on the enterprise and chemical substances in the first early warning factor list based on attribute data of the enterprise and chemical substances to determine an early warning factor preliminary screening list; and the enterprise and chemical substance information further includes second enterprise and chemical substance information, which includes enterprise and chemical critical quantity parameters and attribute data of enterprise and chemical substances.

[0139] In one of the embodiments, the early warning factor preliminary screening list determination module is configured to determine substance states and substance properties of the enterprise and chemical substances in the first early warning factor list based on attribute data of the enterprise and chemical substances; perform screening on the enterprise and chemical substances in the first early warning factor list according to the substance states and the substance properties to determine a second early warning factor list; perform analysis on physical hazards, health hazards, and environmental hazards of the enterprise and chemical substances in the second early warning factor list respectively, and perform screening on the enterprise and chemical substances in the second early warning factor list according to the analysis results to determine a third early warning factor list; and screen out enterprise and chemical substances in the third early warning factor list that meet atmospheric environmental risk substance judgment conditions based on air-related risk properties to obtain the early warning factor preliminary screening list.

[0140] In one of the embodiments, the first data analysis module includes a physical property parameter analysis module.

[0141] The physical property parameter analysis module is configured to acquire saturated vapor pressures and relative molecular masses of the target enterprise and chemical substances; and determine physical property parameters of the target enterprise and chemical substances based on quotients of the saturated vapor pressures and the relative molecular masses of the target enterprise and chemical substances.

[0142] In one of the embodiments, the first data analysis module includes a human health hazard analysis module.

[0143] The human health hazard analysis module is configured to query a chemical database to acquire test objects, test times, and first test data corresponding to the target enterprise and chemical substances; and determine first acute toxicity parameters of the target enterprise and chemical substances according to the test objects, the test times, and the first test data, wherein the human health hazard data includes the first acute toxicity parameters.

[0144] The human health hazard analysis module is configured to query the comprehensive risk information database to obtain second experimental data corresponding to each target industrial chemical substance, and determine a cancer risk parameter corresponding to each target industrial chemical substance according to each second experimental data, and the human health hazard data includes the cancer risk parameter.

[0145] The human health hazard analysis module is configured to query the occupational health exposure standard file to obtain an occupational exposure limit value corresponding to each target industrial chemical substance, and determine a second acute toxicity parameter corresponding to each target industrial chemical substance according to each occupational exposure limit value, and the human health hazard data includes the second acute toxicity parameter.

[0146] The human health hazard analysis module is configured to query the comprehensive risk information database to obtain health risk reference data corresponding to each target industrial chemical substance, and determine a first health risk parameter corresponding to each target industrial chemical substance according to each health risk reference data, and the human health hazard data includes the first health risk parameter.

[0147] The human health hazard analysis module is configured to query the atmospheric pollutant concentration limit value related standard to obtain an atmospheric pollutant concentration limit value corresponding to each target industrial chemical substance, and determine a second health risk parameter corresponding to each target industrial chemical substance according to each atmospheric pollutant concentration limit value, and the human health hazard data includes the second health risk parameter.

[0148] In one of the embodiments, the second data analysis module is configured to perform correlation analysis on each human health hazard data to determine associated human health hazard data and non-associated human health hazard data in the human health hazard data; and determine the hazard degree data of each target industrial chemical substance based on the industrial chemical substance production data, the industrial chemical substance storage data, the physical property parameter, the non-associated human health hazard data and the target associated human health hazard data, the target associated human health hazard data being one of the associated human health hazard data.

[0149] In one of the embodiments, the second data analysis module is configured to obtain each human health hazard data corresponding to each target industrial chemical substance; perform correlation analysis on each type of human health hazard data to calculate a correlation coefficient between each type of human health hazard data; and determine associated human health hazard data and non-associated human health hazard data in the human health hazard data based on the correlation coefficient between each type of human health hazard data.

[0150] In one of the embodiments, the second data analysis module is configured to determine the first hazard degree data based on a sum of a product of the non-correlation human health hazard data and the corresponding attribute weight and a product of the target correlation human health hazard data and the corresponding attribute weight; and determine the hazard degree data of the target industrialization substance based on a product of the first hazard degree data and the industrialization substance production data and the industrialization substance storage data.

[0151] In one of the embodiments, the environmental risk early warning factor determination module is configured to sort the target industrialization substances according to the hazard degree data of the target industrialization substances to obtain the sorted target industrialization substances; and determine the target environmental risk early warning factor from the sorted target industrialization substances based on a preset screening ratio.

[0152] The modules in the device for determining the environmental risk early warning factor can be all or partially implemented by software, hardware and combinations thereof. The modules can be embedded in or independent of a processor in a computer device in a hardware form, or stored in a memory in the computer device in a software form, so as to be called and executed by the processor to perform the operations corresponding to the modules.

[0153] In one embodiment, a computer device is provided, which can be a terminal, and an internal structure diagram thereof can be as shown in Figure 7 The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The communication interface of the computer device is configured to perform wired or wireless communication with an external terminal. The wireless communication can be achieved through WIFI, mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement a method for determining an environmental risk early warning factor. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0154] Those skilled in the art can understand that Figure 7 the structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0155] In one embodiment, a computer device is provided, comprising a memory and a processor, the memory has stored therein a computer program, the processor implements the steps of the method for determining the environmental risk early warning factor when executing the computer program.

[0156] In one embodiment, a computer readable storage medium is provided, having stored thereon a computer program, the computer program implements the steps of the method for determining the environmental risk early warning factor when executed by a processor.

[0157] In one embodiment, a computer program product is provided, comprising a computer program, the computer program implements the steps of the method for determining the environmental risk early warning factor when executed by a processor.

[0158] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties.

[0159] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0160] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0161] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method of determining an environmental risk early warning factor, characterized by, The method comprises: Obtaining enterprise chemical substance information and common chemical substance information, the enterprise chemical substance information being information of chemical substances involved in enterprise production and environment, including enterprise chemical substance identification, enterprise chemical substance production data, enterprise chemical substance storage data, enterprise critical quantity parameters and substance attribute data, and the common chemical substance information being information of chemical substances involved in public data, including common chemical substance identification; According to the enterprise chemical substance information and the common chemical substance information, determining a preliminary screening list of early warning factors, the preliminary screening list of early warning factors including first enterprise chemical substance information of each target enterprise chemical substance, the first enterprise chemical substance information including enterprise chemical substance identification, enterprise chemical substance production data and enterprise chemical substance storage data, and the enterprise chemical substance information including the first enterprise chemical substance information; extracting enterprise chemical substances with enterprise critical quantity parameters greater than 1 and enterprise chemical substances with the same enterprise chemical substance identification and common chemical substance identification as the enterprise chemical substances to form a first early warning factor list; Based on the substance attribute data, determining the substance state and substance property of each enterprise chemical substance in the first early warning factor list, and screening enterprise chemical substances meeting the following conditions to form a second early warning factor list: Screening enterprise chemical substances with low flash point, water decomposition, toxic and corrosive smoke emission, and toxic smoke emission under heat decomposition to form the second early warning factor list; Or adding enterprise chemical substances with flash point between -218℃ and 196℃, boiling point between -252.8℃ and 392℃, and molecular weight between 2.02 and 262.3 into the second early warning factor list; Or classifying enterprise chemical substances into low flash point liquid, medium flash point liquid and high flash point liquid, and adding enterprise chemical substances with boiling point between 101.2℃ and 180℃ and saturated vapor pressure greater than 0.172kPa at room temperature into the second early warning factor list; Physical hazard, health hazard, and environmental hazard analyses were conducted on the chemical substances in the second warning factor list. Chemical substances meeting the air pollution risk criteria were screened to form a preliminary warning factor list. This preliminary list includes target chemical substances and their production and storage data. Physical property parameters were analyzed for each target chemical substance to obtain its saturated vapor pressure. P and relative molecular mass Mr According to the formula H = P / Mr Calculate physical property parameters H ; The physical property parameters of each of the target industrial substance are determined H The physical property parameters of each of the target industrial substance are determined H The physical property parameters of each of the target industrial substance are determined mg / m 3 the first acute toxicity parameter, i.e. LC 50 the concentration LC 50浓度 , the cancer risk parameter, i.e. IUR, in ug / m 3 the concentration IUR 浓度 , the second acute toxicity parameter OELs, the first health risk parameter RfC, the second health risk parameter, i.e. the concentration limit of atmospheric pollutants, and the grading of each parameter: LC 50浓度 ≤ 100 is Grade 1, 100 < LC 50浓度 ≤ 300 is Grade 2, 300 < LC 50浓度 ≤ 2000 is Grade 3, 2000 < LC50 浓度 ≤ 5000 is Grade 4, LC50 浓度 > 5000 is Grade 5; IUR 浓度 ≤ 5.00E-06 is Grade 1, 5.00E-06 < IUR 浓度 ≤ 1.00E-04 is Grade 2, 1.00E-04 < IUR 浓度 ≤ 1.00E-03 is Grade 3, 1.00E-03 < IUR 浓度 ≤ 1.00E-02 is Grade 4, IUR 浓度 > 1.00E-02 is Grade 5; Based on the hierarchical assignment result, performing correlation analysis on each pair of human health hazard data, calculating the correlation coefficient, and screening the correlation coefficient of the associated human health hazard data and the non-associated human health hazard data with a correlation coefficient greater than or equal to 0.85; Based on the production data of the enterprise material, the storage data of the enterprise material, the physical property parameters H , the non-correlation human health hazard data and the target correlation human health hazard data, the hazard degree data of each target enterprise material is calculated. According to the hazard degree data sorting, determining the target environmental risk early warning factor according to a preset screening ratio.

2. The method of claim 1, wherein, The method comprises: Obtaining attribute data of enterprise chemical substances, enterprise sudden environmental event risk data, historical production data of enterprises, environmental impact data and environmental risk data in a chemical professional database; Statistically analyzing the attribute data of enterprise chemical substances, enterprise sudden environmental event risk classification data, historical production data, environmental impact data and environmental risk data to obtain the enterprise chemical substance information; Obtaining the common chemical substance information from enterprise sudden environmental event risk classification data, policy consultation and data, and sudden accident information and news.

3. The method of claim 1, wherein, The enterprise chemical substance information further includes second enterprise chemical substance information, the second enterprise chemical substance information including enterprise chemical substance critical quantity parameters and enterprise chemical substance attribute data, and the common chemical substance information carrying common chemical substance identification; According to the enterprise chemical substance information and the common chemical substance information, determining a preliminary screening list of early warning factors, the preliminary screening list of early warning factors including: extracting enterprise and health critical material that meets preset critical parameter range and the enterprise and health critical material identification is the same as the enterprise and health critical material identification, forming a first early warning factor list; determining the material state and material property of each enterprise and health critical material in the first early warning factor list based on the attribute data of each enterprise and health critical material; screening the enterprise and health critical material in the first early warning factor list according to the material state and material property of each enterprise and health critical material, and determining a second early warning factor list; analyzing the physical harm, health harm and environmental harm of each enterprise and health critical material in the second early warning factor list, and screening the enterprise and health critical material in the second early warning factor list according to the analysis result, and determining a third early warning factor list; screening the enterprise and health critical material in the third early warning factor list that meets the atmospheric environmental risk material judgment condition based on the gas-related risk property, and obtaining a preliminary screening list of early warning factors.

4. The method of claim 1, wherein, The property parameter analysis of each target enterprise and health critical material includes: obtaining the saturated vapor pressure and relative molecular mass of each target enterprise and health critical material; determining the property parameter of each target enterprise and health critical material based on the quotient of the saturated vapor pressure and relative molecular mass corresponding to each target enterprise and health critical material.

5. The method of claim 1, wherein, The human health hazard data includes at least one of a first acute toxicity parameter, a cancer risk parameter, a second acute toxicity parameter, a first health risk parameter, and a second health risk parameter; The human health parameter analysis of each target enterprise and health critical material includes at least one of the following: the first item, querying a chemical professional database to obtain test objects, test times, and first test data corresponding to each target enterprise and health critical material; determining the first acute toxicity parameter corresponding to each target enterprise and health critical material according to the test objects, test times, and first test data; the second item, querying a comprehensive risk information database to obtain second test data corresponding to each target enterprise and health critical material, and determining the cancer risk parameter corresponding to each target enterprise and health critical material according to the second test data; the third item, querying an occupational health exposure standard file to obtain occupational exposure limits corresponding to each target enterprise and health critical material, and determining the second acute toxicity parameter corresponding to each target enterprise and health critical material according to the occupational exposure limits; the fourth item, querying a comprehensive risk information database to obtain health risk reference data corresponding to each target enterprise and health critical material, and determining the first health risk parameter corresponding to each target enterprise and health critical material according to the health risk reference data; the fifth item, querying an atmospheric pollutant concentration limit related standard to obtain atmospheric pollutant concentration limits corresponding to each target enterprise and health critical material, and determining the second health risk parameter corresponding to each target enterprise and health critical material according to the atmospheric pollutant concentration limits.

6. The method of claim 1, wherein, The hazard degree data of each target industrialization substance is determined based on the industrialization substance production data, the industrialization substance storage data, the physical property parameter, and the human health hazard data. Correlation analysis is performed on each human health hazard data to determine the associated human health hazard data and the non-associated human health hazard data in the human health hazard data. The hazard degree data of each target industrialization substance is determined based on the industrialization substance production data, the industrialization substance storage data, the physical property parameter, the non-associated human health hazard data, and the target associated human health hazard data.

7. The method of claim 6, wherein, The correlation analysis is performed on each human health hazard data to determine the associated human health hazard data and the non-associated human health hazard data in the human health hazard data, including: Each target industrialization substance corresponds to each human health hazard data. Correlation analysis is performed on each human health hazard data to determine the associated human health hazard data and the non-associated human health hazard data in the human health hazard data. The hazard degree data of each target industrialization substance is determined based on the industrialization substance production data, the industrialization substance storage data, the physical property parameter, the non-associated human health hazard data, and the target associated human health hazard data.

8. The method of claim 7, wherein, The first hazard degree data is determined based on the sum of the product of the non-associated human health hazard data and the corresponding attribute weight and the product of the target associated human health hazard data and the corresponding attribute weight. The hazard degree data of the target industrialization substance is determined according to the product of the first hazard degree data and the industrialization substance production data and the industrialization substance storage data. The target environmental risk early warning factor is determined according to the hazard degree data of each target industrialization substance, including:

9. The method of claim 1, wherein, The target industrialization substances are sorted according to the hazard degree data of each target industrialization substance to obtain sorted target industrialization substances. The target environmental risk early warning factor is determined from the sorted target industrialization substances based on a preset screening ratio. The processor executes the computer program to implement the steps of the method of any one of claims 1 to 9. 10.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-9. ​

Images