A method and device for classifying a risk level of an environment in which a target object is located

Abstract

The application discloses a risk grade division method and device for an environment where a target object is located, and comprises the following steps: determining a comprehensive damage result of an environmental risk substance involved in a life cycle of the target object on health and an ecosystem; quantifying a plurality of sensitivity index data involved in the target object, and determining a comprehensive sensitivity coefficient according to the quantified plurality of sensitivity index data; determining a hazard value of the environmental risk substance on the environment where the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient; obtaining an occurrence probability of an environmental risk event of the target object, and dividing a risk grade of the environment where the target object is located according to the occurrence probability and the hazard value. The application can accurately and comprehensively divide the risk grade of the environment where the target object is located, thereby improving the effectiveness of accident prevention and emergency response, and providing a scientific basis for environmental safety management.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of environmental risk grading, and particularly relates to a method and device for grading the risk level of an environment in which a target object is located. BACKGROUND

[0002] This section is intended to provide background information to facilitate a better understanding of embodiments of the present application described in the claims. The description herein does not constitute admission of prior art.

[0003] The environment in which the target object is located can be understood as an enterprise environment. Enterprise environmental risk refers to various risks and challenges that may be caused by environmental factors during the production and operation of an enterprise. Accurate and comprehensive grading of enterprise environmental risk levels can improve the effectiveness of accident prevention and emergency response, and provide a scientific basis for enterprise environmental safety management.

[0004] However, the prior art often only focuses on a single factor, such as pollutant discharge or accident probability, when grading enterprise environmental risk levels, ignoring the overall and complex nature of enterprise environmental risk, lacking consideration of the impact of enterprise activities on the environment from a life cycle perspective, and being difficult to fully reflect the actual environmental risk level of the enterprise. In addition, the prior art does not fully consider sensitive indicator data, making it difficult to reflect the actual impact range and degree of enterprise environmental risk. Furthermore, the prior art lacks quantitative standards, resulting in insufficient objectivity and comparability of the results of enterprise environmental risk level grading. In summary, the prior art has the problem of being unable to accurately and comprehensively grade the risk level of the environment in which the target object is located.

[0005] At present, there is no effective solution to the above problems. SUMMARY

[0006] The embodiments of the present application provide a method and device for grading the risk level of the environment in which a target object is located, to solve the problem that the prior art cannot accurately and comprehensively grade the risk level of the environment in which the target object is located.

[0007] In a first aspect, the embodiments of the present application provide a method for grading the risk level of the environment in which a target object is located, which comprises:

[0008] determining a comprehensive damage result of environmental risk substances involved in the life cycle of the target object on health and ecosystems;

[0009] quantifying a plurality of sensitive indicator data involved in the target object, and determining a comprehensive sensitivity coefficient according to the quantified plurality of sensitive indicator data;

[0010] determining a hazard value of the environmental risk substances to the environment in which the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient;

[0011] obtaining an occurrence probability of the environmental risk event of the target object, and dividing a risk level of an environment where the target object is located according to the occurrence probability and the harm value.

[0012] In some embodiments, the environmental risk substance involved in the life cycle of the target object includes at least one of the following: a pollution substance, a resource consumption substance, a chemical substance, a waste or a byproduct in production, processing, use, storage or release of the target object.

[0013] In some embodiments, the determining of the comprehensive damage result of the environmental risk substance involved in the life cycle of the target object to health and an ecosystem includes:

[0014] obtaining a first damage coefficient of the environmental risk substance to health, a second damage coefficient of the environmental risk substance to the ecosystem, and a usage amount of the environmental risk substance;

[0015] determining a first damage result of the environmental risk substance to health according to the first damage coefficient and the usage amount;

[0016] determining a second damage result of the environmental risk substance to the ecosystem according to the second damage coefficient and the usage amount;

[0017] determining a comprehensive damage result of the environmental risk substance to health and the ecosystem according to the first damage result and the second damage result.

[0018] In some embodiments, the quantifying of the plurality of sensitivity index data involved in the target object includes:

[0019] determining an attribute value corresponding to each sensitivity index data according to a sensitivity classification standard of the plurality of sensitivity index data;

[0020] performing normalization processing on the corresponding sensitivity index data according to the attribute value to obtain quantified plurality of sensitivity index data;

[0021] Correspondingly, the determining of the comprehensive sensitivity coefficient according to the quantified plurality of sensitivity index data includes:

[0022] determining a first weight corresponding to each sensitivity index data;

[0023] performing weighted summation on the first weight and the corresponding quantified each sensitivity index data to obtain the comprehensive sensitivity coefficient.

[0024] In some embodiments, the method further includes:

[0025] determining a first score corresponding to each passive protection measure according to a passive protection measure classification standard of the target object.

[0026] According to the first score, a corresponding passive protection measure is normalized to obtain a quantized passive protection value of each passive protection measure;

[0027] A second weight corresponding to each passive protection measure is determined, and the second weight and the corresponding quantized passive protection value of each passive protection measure are weighted and summed to obtain a comprehensive passive protection value;

[0028] An inverse proportional value of the comprehensive passive protection value is calculated to obtain a reduction coefficient of the comprehensive passive protection value.

[0029] In some embodiments, the determination of the hazard value of the environmental risk substance to the environment where the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient comprises:

[0030] The hazard value of the environmental risk substance to the environment where the target object is located is determined according to the product of the comprehensive damage result, the comprehensive sensitivity coefficient, and the reduction coefficient.

[0031] In some embodiments, the obtaining of the occurrence probability of the environmental risk event of the target object comprises:

[0032] According to the management factor grading standard, a second score corresponding to each management factor is determined;

[0033] According to the second score, a corresponding management factor is normalized to obtain a quantized management value of each management factor;

[0034] A third weight corresponding to each management factor is determined, and the third weight and the corresponding quantized management value of each management factor are weighted and summed to obtain a comprehensive management value;

[0035] The comprehensive active protection value is obtained, and an inverse proportional value of the product of the comprehensive management value and the comprehensive active protection value is calculated to obtain the occurrence probability of the environmental risk event of the target object.

[0036] In some embodiments, the division of the risk level of the environment where the target object is located according to the occurrence probability and the hazard value comprises:

[0037] The risk value of the environment where the target object is located is determined according to the product of the occurrence probability and the hazard value;

[0038] The risk level of the environment where the target object is located is divided according to the risk value.

[0039] In a second aspect, the embodiments of the present specification also provide a risk level division device for an environment where a target object is located, and the device comprises:

[0040] a comprehensive damage result determination module configured to determine a comprehensive damage result of the environmental risk substance involved in the life cycle of the target object on health and an ecosystem;

[0041] a comprehensive sensitivity coefficient determination module configured to quantify a plurality of sensitivity index data involved in the target object, and determine a comprehensive sensitivity coefficient according to the quantified plurality of sensitivity index data;

[0042] a hazard value determination module configured to determine a hazard value of the environmental risk substance to the environment where the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient;

[0043] a risk grade division module configured to obtain an occurrence probability of an environmental risk event of the target object, and divide a risk grade of the environment where the target object is located according to the occurrence probability and the hazard value.

[0044] In a third aspect, a computer readable storage medium is provided, which stores computer program instructions. When the computer program instructions are executed by a processor, the steps of the method for dividing the risk grade of the environment where the target object is located are implemented.

[0045] The method and device for dividing the risk grade of the environment where the target object is located provided by the embodiments of the present specification first determine a comprehensive damage result of the environmental risk substance involved in the life cycle of the target object on health and an ecosystem. Then, a plurality of sensitivity index data involved in the target object is quantified, and a comprehensive sensitivity coefficient is determined according to the quantified plurality of sensitivity index data. Then, a hazard value of the environmental risk substance to the environment where the target object is located is determined according to the comprehensive damage result and the comprehensive sensitivity coefficient. Finally, an occurrence probability of an environmental risk event of the target object is obtained, and a risk grade of the environment where the target object is located is divided according to the occurrence probability and the hazard value. In the embodiments of the present specification, by determining the comprehensive damage result of the environmental risk substance involved in the life cycle of the target object on health and an ecosystem, all types of environmental risk substances can be considered, the environmental risk of the enterprise can be more comprehensively and scientifically evaluated, and the influence of the enterprise activities on the environment is considered from the perspective of the life cycle, which can accurately and comprehensively reflect the actual environmental risk level of the enterprise. By quantifying the plurality of sensitivity index data involved in the target object, combining the comprehensive damage result to determine the hazard value of the environmental risk substance to the environment where the target object is located, and combining the hazard value with the occurrence probability, the risk grade of the enterprise environment can be reasonably determined, and the risk exposure degree of the enterprise in the complex environment can be more systematically and scientifically evaluated. Thus, the effectiveness of accident prevention and emergency response can be improved, and a scientific basis for environmental safety management is provided. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to make the technical solutions in the specification or prior art clearer, the drawings needed in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some of the embodiments of the specification, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings. In the drawings:

[0047] Figure 1 is a flow diagram of a risk level classification method of an environment in which a target object is located provided by an embodiment of the specification;

[0048] Figure 2 is a structural composition diagram of a risk level classification device of an environment in which a target object is located provided by an embodiment of the specification;

[0049] Figure 3 is a structural composition diagram of an electronic device provided by an embodiment of the specification. DETAILED DESCRIPTION

[0050] In order to make those skilled in the art better understand the technical solutions in the specification, the technical solutions in the specification will be described clearly and completely below in combination with the drawings in the embodiments of the specification. Obviously, the described embodiments are only some of the embodiments of the specification, not all the embodiments. Based on the embodiments in the specification, all other embodiments obtained by those skilled in the art without creative labor should be within the protection scope of the specification.

[0051] As described above, the prior art often only focuses on a single factor such as pollutant emission or accident probability when classifying the risk level of the enterprise environment, ignores the integrity and complexity of the enterprise environmental risk, lacks consideration of the impact of enterprise activities on the environment from the perspective of life cycle, and thus cannot comprehensively evaluate the performance of the enterprise in different environmental impact categories (such as climate change, ecological toxicity, resource consumption, etc.), making it difficult to fully reflect the actual environmental risk level of the enterprise. And the prior art often lacks sufficient consideration of sensitive index data (receptor conditions) involved by the enterprise, making it difficult to reflect the actual impact range and degree of the environmental risk of the enterprise. In addition, the prior art lacks quantitative standards, resulting in insufficient objectivity and comparability of the classification results of the environmental risk level of the enterprise.

[0052] To solve the above problems, the embodiment of the present specification provides a risk level division method and device of an environment where a target object is located. First, a comprehensive damage result of an environmental risk substance involved by the target object in a life cycle to health and an ecosystem is determined. Then, a plurality of sensitivity index data involved by the target object is quantified, and a comprehensive sensitivity coefficient is determined according to the quantified plurality of sensitivity index data. Then, a hazard value of the environmental risk substance to the environment where the target object is located is determined according to the comprehensive damage result and the comprehensive sensitivity coefficient. Finally, an occurrence probability of an environmental risk event of the target object is obtained, and a risk level of the environment where the target object is located is divided according to the occurrence probability and the hazard value.

[0053] In the embodiment of the present specification, the comprehensive damage result of the environmental risk substance involved by the target object to health and the ecosystem is considered from the perspective of the life cycle by the above method, which can more comprehensively and scientifically divide the risk level of the environment where the target object is located, and solve the problem that the prior art cannot comprehensively reflect the actual environmental risk level of the target object. By quantifying the sensitivity index data involved by the target object, combining the comprehensive damage result to determine the hazard value, and combining the hazard value with the occurrence probability, the risk level can be reasonably divided, and the risk exposure degree of the enterprise in the complex environment can be more systematically and scientifically evaluated. Therefore, the effectiveness of accident prevention and emergency response can be improved, and a scientific basis for environmental safety management is provided.

[0054] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein.

[0055] It can be understood that the above method provided by the embodiment of the present specification can be applied to an electronic device, which can refer to an electronic device with data calculation, processing and storage capabilities. The electronic device can be a terminal such as a PC (Personal Computer), a tablet computer, a smart phone, a wearable device, a smart robot, etc.; or a server. The server can be a standalone physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0056] The risk level division method of the environment where the target object is located provided by the embodiment of the present specification will be described below with reference to the accompanying drawings.

[0057] Figure 1is a flowchart of a method for classifying a risk level of an environment in which a target object is located, provided by an embodiment of the present specification. Although the present specification provides method operation steps or device structures as described in the following embodiments or drawings, more or some of the operation steps or module units can be included in the method or device based on conventional or non-creative labor. In steps or structures that do not have essential causal relationships in logic, the execution order of these steps or the module structure of the device is not limited to the execution order or module structure shown in the embodiments or drawings of the present specification. When the method or module structure is applied in actual devices, servers or terminal products, it can be sequentially executed or executed in parallel according to the method or module structure shown in the embodiments or drawings (for example, in parallel processor or multi-thread processing environment, even including distributed processing, server cluster implementation environment). For specific implementation, refer to Figure 1 As shown, the method can include the following.

[0058] S101: Determine the comprehensive damage result of the environmental risk substances involved in the life cycle of the target object to health and ecosystems.

[0059] In some embodiments, the above-mentioned target object can be an enterprise or industry, and the above-mentioned environmental risk substances have a certain degree of damage to health (human health) and ecosystems. The comprehensive influence of the environmental risk substances on health (human health) and ecosystems can be considered to determine the comprehensive damage result. Based on this, the hazard value of the environmental risk substances to the environment in which the target object is located can be accurately determined, and the hazard value can be used as one of the key factors for classifying the risk level of the environment in which the target object is located. How to determine the hazard value will be described later, and the present specification will not be described here.

[0060] In some embodiments, the environmental risk substances involved in the life cycle of the target object in S101 can include at least one of the following: pollutants, resource consumption substances, chemical substances, waste or by-products of the production, processing, use, storage or release of the target object.

[0061] The contaminant substances can include contaminants in the form of gas, liquid and solid, mainly from emission or leakage processes, such as carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur oxides (SOx), nitrogen oxides (NOx), heavy metals (such as mercury, cadmium) and organic pollutants (such as volatile organic compounds VOCs) and the like. The resource consumption substances can be resources used in the production or operation process, such as oil, natural gas, coal, water resources, rare metals (such as lithium, cobalt) and the like. The harm of resource consumption to health mainly reflects the environmental burden in the process of resource development and use, including air, water, soil pollution, and health risks to communities and workers. The damage to the ecosystem is reflected in its direct impact on species habitat, biodiversity and ecological function, etc. Chemical substances can produce emissions in the processing process, such as ammonia, sulfuric acid, chlorine and the like. The impact of waste or by-products on health usually occurs through direct contact, inhalation, drinking contaminated water sources or eating contaminated food. The damage to the ecosystem is mainly reflected in the migration, accumulation of pollutants and the decline of biodiversity, such as wastewater, industrial waste residue and the like.

[0062] In some embodiments, the determination of the comprehensive damage result of the environmental risk substance to health and the ecosystem in the life cycle of the target object in S101 can include, in specific implementation:

[0063] S11: obtaining a first damage coefficient of the environmental risk substance to health, a second damage coefficient of the environmental risk substance to the ecosystem, and a use amount of the environmental risk substance;

[0064] S12: determining a first damage result of the environmental risk substance to health according to the first damage coefficient and the use amount;

[0065] S13: determining a second damage result of the environmental risk substance to the ecosystem according to the second damage coefficient and the use amount;

[0066] S14: determining a comprehensive damage result of the environmental risk substance to health and the ecosystem according to the first damage result and the second damage result.

[0067] Specifically, the environmental risk substances in S11 can be various types of environmental risk substances, and the specific values of the damage coefficients of human health and ecosystems of the various types of environmental risk substances can be different. The damage coefficients of human health and ecosystems are the ultimate effects of multiple environmental impact categories (such as climate change, toxicity, acidification, etc.) on human health and ecosystems. These coefficients quantify the damage of substance emissions or resource consumption to overall health and the ecological environment, providing intuitive and comprehensive analysis of different pollutants and environmental stressors. The first damage coefficient in S11 reflects the impact of each unit of environmental risk substance on human health, and the second damage coefficient reflects the impact of each unit of environmental risk substance on the ecosystem. The first damage coefficient of each environmental risk substance on human health and the second damage coefficient of each environmental risk substance on the ecosystem can be found in the LCA impact assessment database. Because the impact of an emergency event is usually measured in days, and the maximum usage can reflect the maximum possible harm, the usage of the environmental risk substance in S11 can be the daily maximum usage, with a unit of kg, which can be obtained by collecting the daily maximum usage of the environmental risk substance involved by the target object.

[0068] The damage results of the environmental risk substances on human health and ecosystems can be calculated according to the Impact Assessment (ReCiPe data or IMPACT World+ indicator system) in LCA to improve the calculation efficiency. Specifically, the first damage result of the environmental risk substances on health in S12 can be determined according to the following formula:

[0069]

[0070] wherein Q1 is the first damage result of the environmental risk substances on health; q i is the usage of the i-th environmental risk substance; h i is the first damage coefficient of the i-th environmental risk substance on health; and m is the total number of environmental risk substances.

[0071] The second damage result of the environmental risk substances on the ecosystem in S13 can be determined according to the following formula:

[0072]

[0073] wherein Q2 is the second damage result of the environmental risk substances on the ecosystem; q i is the usage of the i-th environmental risk substance; e i is the second damage coefficient of the i-th environmental risk substance on the ecosystem; and m is the total number of environmental risk substances.

[0074] The determination of the comprehensive damage result of the environmental risk substance on health and the ecosystem in S14 can be determined according to the following formula:

[0075]

[0076] Wherein, Q is the comprehensive damage result of the environmental risk substance on health and the ecosystem; Q1 is the first damage result of the environmental risk substance on health; Q2 is the second damage result of the environmental risk substance on the ecosystem; B1 is the health damage benchmark value; B2 is the ecosystem damage benchmark value; ω1 is the health impact weight; and ω2 is the ecosystem impact weight.

[0077] The formula (3) is equivalent to dividing the first damage result and the second damage result by the corresponding benchmark value (for example, the total environmental impact value in a specific year) to normalize the first damage result and the second damage result, and to normalize the two damage results into dimensionless relative values. Then, the normalized damage results are weighted to obtain the comprehensive damage result. The benchmark value generally represents the total environmental impact in a certain region, industry or specific time period, and is public data. The weights ω1 and ω2 can be set according to the environmental policy priority, the risk management goal, or the importance of each damage category to the decision, and the present specification does not specifically limit this. For example: the human health is given priority (health impact weight ω1> ecosystem impact weight ω2), at this time the policy focus is to protect human health (such as reducing the disease burden), and the human health impact weight should be increased, which can be set as ω1=0.7, ω2=0.3. The ecological protection is given priority (health impact weight ω1< ecosystem impact weight ω2), at this time the goal is to restore the ecosystem function or protect the biodiversity, and the ecosystem impact weight should be increased, which can be set as ω1=0.3, ω2=0.7. When there is no clear preference, the equal weight (health impact weight ω1= ecosystem impact weight ω2=0.5) is adopted.

[0078] The above embodiment fully utilizes the indexes and coefficients in the life cycle assessment (LCA) model when calculating the damage of the environmental risk substance on human health and the ecosystem, such as the first damage coefficient on human health and the second damage coefficient on the ecosystem, so that all types of environmental risk substances are considered. This design enables the present application to more comprehensively and scientifically evaluate the environmental risk of an industry or enterprise, and solves the problem that it is difficult to accurately evaluate the comprehensive impact of multiple pollutants on the environment in the prior art.

[0079] S102: Quantify a plurality of sensitivity index data related to the target object, and determine a comprehensive sensitivity coefficient according to the quantified plurality of sensitivity index data.

[0080] In some embodiments, the plurality of sensitivity index data related to the target object corresponds to receptor conditions related to the target object, and can include population (population density), ecological environment (river water body, ecosystem type), and resource data (enterprise output value, enterprise employment, surrounding traffic). The plurality of sensitivity index data can include six underlying indexes, i.e., population density, enterprise output value, enterprise employment, surrounding traffic, river water body, and ecosystem type. The quantification can normalize the receptor conditions related to the industry or enterprise, and the final comprehensive sensitivity coefficient is a value between 0 and 1, which can be used to represent the overall sensitivity of the receptor (such as population, ecological environment, and resource data).

[0081] In some embodiments, the quantification of the plurality of sensitivity index data related to the target object in S102 can include:

[0082] S21: determining an attribute value corresponding to each sensitivity index data according to a sensitivity classification standard of the plurality of sensitivity index data;

[0083] S22: normalizing the corresponding sensitivity index data according to the attribute value to obtain the quantified plurality of sensitivity index data;

[0084] Correspondingly, the determination of the comprehensive sensitivity coefficient according to the quantified plurality of sensitivity index data in S102 can include:

[0085] S23: determining a first weight corresponding to each sensitivity index data;

[0086] S24: weighting and summing the first weight and the corresponding quantified each sensitivity index data to obtain the comprehensive sensitivity coefficient.

[0087] Specifically, the sensitivity classification standard in S21 can be determined based on existing data and literature research results, and the sensitivity classification standard can be adjusted according to the actual research area characteristics. The attribute value of each sensitivity index data is divided by a scale of 0, 1, 2, and 3, as shown in Table 1. The determination of the attribute value corresponding to each sensitivity index data can include determining an original attribute value corresponding to each sensitivity index data, a minimum value of the attribute value, and a maximum value of the attribute value.

[0088] Table 1 Sensitivity classification standard of the plurality of sensitivity index data

[0089]

[0090] According to the sensitivity grading standard, the attribute value corresponding to each sensitivity index data can be determined, and the corresponding sensitivity index data is normalized according to the attribute value corresponding to the sensitivity index data. For example, the population density A1 around the enterprise is 400 people / km 2 As can be seen from Table 1, the original attribute value of A1 is 2, the minimum value of the attribute value is 0, and the maximum value of the attribute value is 3. The above values are substituted into the following formula to linearly transform A1 to the interval [0, 1].

[0091]

[0092] Wherein, X is the original attribute value; X min is the minimum value of the attribute value; X max is the maximum value of the attribute value.

[0093] That is, the quantified or normalized value of the population density is:

[0094] The normalization method of other sensitivity index data is the same as above. Through the above method, multiple quantified sensitivity index data can be obtained.

[0095] After normalization, all sensitivity index data are on the same dimension, and the first weight corresponding to each sensitivity index data is determined, and the weighted sum is obtained. The first weight of each sensitivity index data in S23 above can be determined according to the following formula:

[0096]

[0097] Wherein, r j is the importance score of the jth sensitivity index data (expert scoring method can be used, using the range of 1-10); a j is the first weight corresponding to the jth sensitivity index data.

[0098] For example: the population density (A1) score is 9, the total enterprise output (B1) score is 8, the number of enterprise employees (B2) score is 7, the surrounding traffic (C1) score is 8, the distance to water body (C2) score is 3, the ecosystem type (C3) score is 5, and the total score is: 9+8+7+8+3+5=40. The weight is: a1=0.225, a2=0.2, a3=0.175, a4=0.2, a5=0.075, a6=0.125.

[0099] The comprehensive sensitivity coefficient in S24 above can be calculated according to the following formula:

[0100] E=a1X A1 +a2XB1 +a3X B2 +a4X C1 +a5X C2 +a6X C3 (6)

[0101] wherein E is a comprehensive sensitivity coefficient; a1, a2,..., a6 are respectively first weights corresponding to population density, total enterprise output value, enterprise employment, surrounding traffic, river water body, and ecosystem type; X A1 is a population density normalized value; X B1 is a total enterprise output value normalized value; X B2 is an enterprise employment normalized value; X C1 is a surrounding traffic normalized value; X C2 is a river water body normalized value; X C3 is an ecosystem type normalized value.

[0102] The above embodiment can construct a more scientific receptor evaluation system by normalizing the sensitivity of receptors (such as population, ecological environment, and resource data) involved in the industry or enterprise. This method is not limited to evaluating a single pollutant or receptor, but comprehensively evaluates the overall sensitivity of the receptor, and more scientifically evaluates the impact of the pollutant from the perspective of the sensitivity of the receptor to different pollutants. This enables the present application to more reasonably and systematically comprehensively evaluate the environmental risk of the enterprise, and improves its applicability in multiple industries and multiple receptor situations.

[0103] S103: determining a hazard value of the environmental risk substance to the environment where the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient.

[0104] In some embodiments, before determining the hazard value of the environmental risk substance to the environment where the target object is located in S103, in specific implementation, it can further include:

[0105] S31: determining a first score corresponding to each passive protection measure according to a passive protection measure grading standard of the target object;

[0106] S32: performing normalization processing on the corresponding passive protection measure according to the first score to obtain a quantitative passive protection value of each passive protection measure;

[0107] S33: determining a second weight corresponding to each passive protection measure, and performing weighted summation on the second weight and the quantitative passive protection value corresponding thereto to obtain a comprehensive passive protection value;

[0108] S34: obtaining an inverse proportional value of the comprehensive passive protection value to obtain a reduction coefficient of the comprehensive passive protection value.

[0109] In some embodiments, the determining, in S103, the harm value of the environmental risk substance to the environment where the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient, in specific implementation, can include:

[0110] S35: determining the harm value of the environmental risk substance to the environment where the target object is located according to the product of the comprehensive damage result, the comprehensive sensitivity coefficient and the reduction coefficient.

[0111] Specifically, the passive protection measures in S31 can also be referred to as passive protection layers. The passive protection measures can be divided into the following four levels according to the way of preventing and controlling the environmental risk substance of the enterprise and the effectiveness of the measures, which correspond to different protection targets and capabilities. The passive protection layer is divided into four levels: a first prevention and control system (source control): the protection measures focus on reducing the generation of pollution sources. A second prevention and control system (process processing): the protection measures focus on controlling the spread and processing of pollutants in the operation of the enterprise. A third prevention and control system (emission control): the protection measures aim to reduce the impact of the final emission of pollutants on the environment. A fourth prevention and control system (emergency response): the protection measures are aimed at the emergency handling capacity in the event of an accident. The grading standards of the above passive protection measures can be determined, such as the specific protection measures corresponding to each passive protection layer level, and the specific protection measures are scored to obtain the corresponding first score. For example, the first score of the no interception measure under the source control level can be set to 1, the first score of the interception measure and the interception measure for the leakage prevention, corrosion prevention, leaching prevention, and loss prevention measures can be set to 2, the first score of the interception measure and other interception measures can be set to 3, and so on. The specific first score can be determined according to actual experience or actual demand, which is not limited in the specification.

[0112] The first score corresponding to each passive protection measure can be determined according to the passive protection measure grading standard of the target object (such as an enterprise), which can include the original first score, the minimum value of the first score (the lowest first score), and the maximum value of the first score (the highest first score). The corresponding passive protection measures are normalized according to the first score corresponding to each passive protection measure to obtain the quantized passive protection values, and the quantized passive protection values are in the interval [0, 1]. For example, the lowest first score of the passive protection layer level in the passive protection measure grading standard is fixed at 1, and the highest first score of the passive protection layer level is fixed at 4 (the highest first score is determined according to the number of specific measures, and the highest score is 4 when there are 4 specific measures). The first score corresponding to each passive protection measure can be substituted into the above formula (4) to finally obtain the quantized passive protection values.

[0113] After normalization, all passive protection measures are in the same dimension, and the second weight corresponding to each passive protection measure is determined, and a comprehensive passive protection value is obtained by weighted summation. The second weight corresponding to each passive protection measure can be the same.

[0114] The comprehensive passive protection value in S33 can be calculated according to the following formula:

[0115]

[0116] Wherein, P1 is the comprehensive passive protection value; c i is the second weight corresponding to each passive protection measure, c1=c2=...=cn=1 / n; n is the total number of passive protection measures; P i is the i-th quantized passive protection value. 1i

[0117] The reduction factor of the comprehensive passive protection value in S34 can be calculated according to the following formula:

[0118] P1'=1 / (P1+ε)(8)

[0119] Wherein, P1' is the reduction factor of the comprehensive passive protection value; P1 is the comprehensive passive protection value; ε is a small positive number (here, 0.01), which is used to avoid the denominator being zero when P1=0.

[0120] The determination of the environmental risk substance harm value of the target object in S35 can be calculated according to the following formula:

[0121] D=Q×E×P1'(9)

[0122] Wherein, D is the environmental risk substance harm value of the target object; Q is the comprehensive damage result of the environmental risk substance to health and ecosystem; E is the comprehensive sensitivity coefficient; P1' is the reduction factor of the comprehensive passive protection value.

[0123] Wherein, the comprehensive passive protection value can represent the perfection degree of the protection measure, and the higher the value is, the stronger the protection ability is. The reduction factor can be inversely proportional to the comprehensive passive protection value. Formulas (8) and (9) can represent that the higher the comprehensive passive protection value is, the stronger the protection ability is, the smaller the reduction factor is, and the smaller the environmental risk substance harm value of the target object is.

[0124] In the above embodiment, by quantizing multiple sensitivity index data, quantizing passive protection measures, and combining the comprehensive damage result, the environmental risk substance harm value of the target object can be accurately and comprehensively determined, thereby providing a good data basis for subsequent division of the risk level of the environment of the target object. ​

[0125] S104: Obtain the occurrence probability of the environmental risk event of the target object, and divide the risk level of the environment where the target object is located according to the occurrence probability and the harm value.

[0126] In some embodiments, the obtaining of the occurrence probability of the environmental risk event of the target object in S104 can include the following steps.

[0127] S41: Determine the second score corresponding to each management factor according to the management factor grading standard of the target object;

[0128] S42: Normalize the corresponding management factor according to the second score to obtain the quantized management value of each management factor;

[0129] S43: Determine the third weight corresponding to each management factor, and weight and sum the third weight and the quantized value of each corresponding management factor to obtain a comprehensive management value;

[0130] S44: Obtain a comprehensive active protection value, and obtain the inverse proportional value of the product of the comprehensive management value and the comprehensive active protection value to obtain the occurrence probability of the environmental risk event of the target object.

[0131] Specifically, the management factor in S41 can reflect the management level, the standardization and the degree of perfection of the system execution of the enterprise. It represents the actual influence ability of enterprise management activities on risk control, and takes technical standards and execution as the basis for quantization, which is a quantitative evaluation of the soft management ability of the enterprise, thereby indirectly affecting the probability of accidents. It can include six aspects: fire acceptance, safety production license, safety evaluation of dangerous chemicals, major hazard source filing of dangerous chemicals, rules and regulations, environmental management / safety certification level and others. The management factor grading standard can determine the specific measures of each of the six aspects of the management factor, and score the specific measures to obtain the corresponding second score. For example, a non-dangerous chemical enterprise or a dangerous chemical enterprise obtains a safety production license, and the second score can be set to 2, etc. The specific setting of the second score can refer to actual experience or actual demand, which is not limited in the specification.

[0132] The second score corresponding to each management factor can be determined according to the management factor grading standard of the target object, and the second score can include an original second score, a minimum value (the lowest second score) of the second score, and a maximum value (the highest second score) of the second score. Each management factor is normalized according to the second score corresponding to each management factor to obtain quantized management values, and the quantized management values are in the interval [0, 1]. For example, the lowest second score of each management factor is fixed at 1, and the highest second score of each management factor is fixed at 3 (the highest second score is determined according to the number of specific management factors). The second score corresponding to each management factor can be substituted into the above formula (4), and finally the quantized management values can be obtained.

[0133] After normalization, all management factors are in the same dimension, and the third weight corresponding to each management factor is determined, and a comprehensive management value can be obtained by weighted summation. The third weight corresponding to each management factor can be the same.

[0134] The comprehensive management value in the above S43 can be calculated according to the following formula:

[0135]

[0136] Wherein, B is a comprehensive management value; di is a third weight corresponding to the i th management factor, d1=d2=...=dn=1 / n; n is the total number of management factor measures; Bi is the i th quantized management value. i i i

[0137] The acquisition process of the comprehensive active protection value in the above S44 is as follows:

[0138] S441: determining a third score corresponding to each active protection measure according to the active protection measure grading standard of the target object;

[0139] S442: normalizing the corresponding active protection measure according to the third score to obtain quantized active protection values;

[0140] S443: determining a fourth weight corresponding to each active protection measure, and performing weighted summation on the fourth weight and the corresponding quantized active protection values to obtain a comprehensive active protection value.

[0141] ​​​The active protection measure in S441 can also be referred to as a protection layer, which can represent the comprehensive effectiveness of the physical protection measures taken by the enterprise, and is evaluated in combination with technical equipment, system design and other active protection means. The protection layer reflects the control ability of the physical protection measures of the enterprise on the risk. The evaluation process is based on the safety of the equipment and facilities, the advancement of the process design, etc., and represents the direct inhibitory effect of the hardware facilities (such as process flow, alarm system, etc.) of the enterprise on the occurrence of risk events, which is a quantitative value evaluated through physical and technical protection measures. The grading standard of the active protection measure can be, for example, to determine the specific prevention and control measures corresponding to the type of protection layer, and then score the specific prevention and control measures to obtain the corresponding third score. For example, the third score of an environmentally friendly process under process flow classification can be set to 3, the third score of a moderately polluting process can be set to 2, and the third score of a heavily polluting process can be set to 1, etc. The specific third score can be set according to actual experience or actual demand, which is not limited in the present specification.

[0142] The third score corresponding to each active protection measure can be determined according to the grading standard of the active protection measure of the target object (such as an enterprise). The third score can include an original third score, a minimum third score (the lowest third score), and a maximum third score (the highest third score). Then, the corresponding active protection measures are normalized according to the third score corresponding to each active protection measure to obtain quantized active protection values, and the quantized active protection values are in the interval [0, 1]. For example, assuming that the lowest third score of the protection measure level is fixed at 1 and the highest third score of the protection layer level is fixed at 3 (the highest third score is determined according to the number of specific measures, and the highest score is 3 if there are 3 specific measures). The first third score corresponding to each active protection measure can be substituted into the above formula (4), and the quantized active protection values can be finally obtained.

[0143] After normalization, all active protection measures are in the same dimension, and then the fourth weight corresponding to each active protection measure is determined, and a comprehensive active protection value can be obtained by weighted summation. The fourth weights corresponding to each active protection measure can be the same.

[0144] The comprehensive active protection value in S443 can be calculated according to the following formula:

[0145]

[0146] wherein P2 is the comprehensive active protection value; f i is the fourth weight corresponding to the i-th active protection measure, f1=f2=f3=f4=1 / n; P 2i is the i-th quantized active protection measure value.

[0147] The determination of the occurrence probability of the environmental risk event of the target object in S44 can be determined according to the following formula:

[0148]

[0149] Wherein, P is the occurrence probability of the environmental risk event of the target object; B is the comprehensive management value; P2 is the comprehensive active protection value; ε is a small positive number (here, 0.01), which is used to avoid the denominator being zero when the value of B or P2 is 0.

[0150] Wherein, formula (12) can represent that the higher the values of B and P2, the better the protection measures, and the smaller the occurrence probability of the risk event.

[0151] In the above embodiments, by quantifying each management factor and active protection measure, the occurrence probability of the environmental risk event of the target object can be accurately determined, which can be used as another key factor for dividing the risk level of the environment where the target object is located. Thus, the problem that the prior art only focuses on a single factor, such as the amount of pollutant emission or the occurrence probability of the accident, ignores the integrity and complexity of the environmental risk of the enterprise, and lacks consideration of the influence of the enterprise activities on the environment from the perspective of the life cycle, thereby being difficult to comprehensively reflect the actual environmental risk level of the enterprise, can be solved.

[0152] In some embodiments, according to the occurrence probability and the harm value, the risk level of the environment where the target object is located in S104 can include the following steps in specific implementation:

[0153] S45: determining the risk value of the environment where the target object is located according to the product of the occurrence probability and the harm value;

[0154] S46: dividing the risk level of the environment where the target object is located according to the risk value.

[0155] Wherein, the determination of the risk value of the environment where the target object is located in S45 can be calculated according to the following formula:

[0156] R=D×P (13)

[0157] Wherein, R is the risk value of the environment where the target object is located; D is the harm value of the environmental risk substance to the environment where the target object is located; P is the occurrence probability of the environmental risk event of the target object.

[0158] The risk value calculated can be divided into several levels according to the actual situation, which correspond to different safety levels and accident occurrence probabilities.

[0159] In the above-mentioned embodiments, by converting various aspects such as receptor conditions, passive protective measures, active protective measures, and management factors into quantifiable values ​​and combining the probability of occurrence with the hazard value, a reasonable determination of the enterprise's environmental risk level can be made, enabling a more systematic and scientific assessment of the enterprise's risk exposure in complex environments. Furthermore, the combination of passive and active protection comprehensively considers the enterprise's emergency response capabilities and management mechanisms, ensuring a comprehensive risk classification, enhancing the effectiveness of accident prevention and emergency response, and providing a scientific basis for enterprise environmental safety management.

[0160] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. For details, please refer to the description of the aforementioned related processing embodiments, and no further description is given here.

[0161] The above describes the present invention. However, it is worth noting that this specific embodiment is only intended to better illustrate the present application and to describe specific embodiments of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0162] Although this specification provides examples such as the following examples or the accompanying Figure 2 The method operation steps or device structure shown, but based on routine or no creative labor, the method or device may include more or fewer operation steps or module units after partial merger. In the steps or structures that do not logically have necessary causal relationships, the execution order of these steps or the module structure of the device is not limited to the execution order or module structure shown in the embodiments or drawings of this specification. When the method or module structure described is applied to an actual device, server or terminal product, it can be executed sequentially or in parallel according to the method or module structure shown in the embodiments or drawings (for example, a parallel processor or multi-threaded processing environment, or even a distributed processing, server cluster implementation environment). Based on the above-mentioned method for dividing the risk level of the environment in which the target object is located, the embodiment of this specification also proposes an embodiment of a device for dividing the risk level of the environment in which the target object is located. As Figure 2 As shown, the device may specifically include the following modules:

[0163] The comprehensive damage result determination module 201 can be used to determine a comprehensive damage result of an environmental risk substance involved in a life cycle of a target object on health and an ecosystem;

[0164] The comprehensive sensitivity coefficient determination module 202 can be used to quantify a plurality of sensitivity index data involved in the target object, and determine a comprehensive sensitivity coefficient according to the quantified plurality of sensitivity index data;

[0165] The hazard value determination module 203 can be used to determine a hazard value of the environmental risk substance on an environment where the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient;

[0166] The risk level division module 204 can be used to obtain an occurrence probability of an environmental risk event of the target object, and divide a risk level of the environment where the target object is located according to the occurrence probability and the hazard value.

[0167] In some embodiments, the environmental risk substance involved in the life cycle of the target object in the above-mentioned comprehensive damage result determination module 201 can include at least one of the following: a pollution substance, a resource consumption substance, a chemical substance, a waste or a byproduct produced, processed, used, stored or released by the target object.

[0168] In some embodiments, the above-mentioned comprehensive damage result determination module 201 can be specifically used to obtain a first damage coefficient of the environmental risk substance on health, a second damage coefficient of the environmental risk substance on an ecosystem, and a usage amount of the environmental risk substance; determine a first damage result of the environmental risk substance on health according to the first damage coefficient and the usage amount; determine a second damage result of the environmental risk substance on the ecosystem according to the second damage coefficient and the usage amount; and determine a comprehensive damage result of the environmental risk substance on health and the ecosystem according to the first damage result and the second damage result.

[0169] In some embodiments, the above-mentioned comprehensive sensitivity coefficient determination module 202 can be specifically used to determine an attribute value corresponding to each sensitivity index data according to a sensitivity classification standard of a plurality of sensitivity index data; perform normalization processing on the corresponding sensitivity index data according to the attribute value to obtain quantified plurality of sensitivity index data; determine a first weight corresponding to each sensitivity index data; and perform weighted summation on the first weight and the corresponding quantified each sensitivity index data to obtain a comprehensive sensitivity coefficient.

[0170] In some embodiments, the hazard value determination module 203 can be specifically configured to determine a first score corresponding to each passive protection measure according to a passive protection measure grading standard of the target object; normalize the corresponding passive protection measure according to the first score to obtain a quantized passive protection value of each passive protection measure; determine a second weight corresponding to each passive protection measure, and perform weighted summation on the second weight and the quantized passive protection value of each passive protection measure to obtain a comprehensive passive protection value; and obtain a reduction coefficient of the comprehensive passive protection value by taking the inverse proportion of the comprehensive passive protection value.

[0171] In some embodiments, the hazard value determination module 203 can be specifically configured to determine an environmental risk value of the environment where the target object is located according to the product of the comprehensive damage result, the comprehensive sensitivity coefficient, and the reduction coefficient.

[0172] In some embodiments, the risk level division module 204 can be specifically configured to determine a second score corresponding to each management factor according to a management factor grading standard of the target object; normalize the corresponding management factor according to the second score to obtain a quantized management value of each management factor; determine a third weight corresponding to each management factor, and perform weighted summation on the third weight and the quantized management value of each management factor to obtain a comprehensive management value; obtain a comprehensive active protection value, and obtain a probability of occurrence of an environmental risk event of the target object by taking the inverse proportion of the product of the comprehensive management value and the comprehensive active protection value.

[0173] In some embodiments, the risk level division module 204 can be specifically configured to determine an environmental risk value of the environment where the target object is located according to the product of the hazard value and the probability of occurrence; and divide the risk level of the environment where the target object is located according to the risk value.

[0174] As can be seen from the above, the risk level division device for the environment where the target object is located provided by the embodiments of the present specification can achieve the following technical effects:

[0175] 1. In calculating the damage of environmental risk substances to human health and ecological systems, the indexes and coefficients in the life cycle assessment (LCA) model are fully utilized, such as the damage coefficient to human health and the damage coefficient to the ecological system, so that all types of pollutant substances are considered. This design enables the present application to more comprehensively and scientifically assess the environmental risks of enterprises, and solves the problem that it is difficult to accurately evaluate the comprehensive impact of multiple pollutant substances on the environment in the prior art.

[0176] 2. Convert multiple sensitivity indicator data (receptor conditions), protection layer levels (active protection measures, passive protection measures), management factors and other aspects into quantifiable values, and reasonably determine the enterprise environmental risk level by combining probability and hazard, which can more systematically and scientifically evaluate the risk exposure of enterprises in complex environments.

[0177] 3. The present invention constructs a more scientific receptor assessment system by normalizing the sensitivity of the receptors involved in the enterprise (such as population, ecological environment and resource data). This method is not limited to the assessment of a single pollutant or receptor, but rather comprehensively evaluates the overall sensitivity of the receptor, and more scientifically assesses the impact of pollutants from the perspective of the receptor's sensitivity to different pollutants. This enables the present invention to conduct a more reasonable and systematic comprehensive assessment of the environmental risks of enterprises, and improves its applicability in multi-industry and multi-receptor scenarios.

[0178] 4. The present invention can flexibly adjust the assessment content according to the characteristics of different industries, especially in terms of protective layer measures, and independently evaluate the protection strategies of different enterprises, making the method highly applicable and universal, and meeting the needs of environmental risk assessment in multiple industries.

[0179] 5. The risk level classification method of the present invention combines passive protection with active protection, comprehensively considers the emergency response capabilities and management mechanisms of the enterprise, ensures the comprehensiveness of risk assessment, improves the effectiveness of accident prevention and emergency response, and provides a scientific basis for enterprise environmental safety management.

[0180] The embodiments of this specification also provide an electronic device based on the risk level classification method of the environment in which the target object is located, including a processor and a memory for storing programs / instructions executable by the processor. When the processor is implemented, it can perform the following steps according to the program / instructions: determine the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to the health and ecosystem; quantify multiple sensitivity index data involved in the target object, and determine a comprehensive sensitivity coefficient based on the quantified multiple sensitivity index data; determine the hazard value of the environmental risk substances to the environment in which the target object is located based on the comprehensive damage results and the comprehensive sensitivity coefficient; obtain the probability of an environmental risk event occurring in the target object, and classify the risk level of the environment in which the target object is located based on the occurrence probability and the hazard value.

[0181] In order to complete the above instructions more accurately, refer to Figure 3 As shown, the embodiment of this specification also provides another specific electronic device, wherein the electronic device includes a network communication port 301, a processor 302 and a memory 303, and the above structures are connected through internal cables so that each structure can perform specific data interaction.

[0182] The network communication port 301 can be used to determine the comprehensive damage result of the environmental risk substance on the health and ecosystem of the target object in the life cycle.

[0183] The processor 302 can be used to quantify a plurality of sensitivity index data of the target object, determine a comprehensive sensitivity coefficient according to the quantified plurality of sensitivity index data, determine a hazard value of the environmental risk substance on the environment where the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient, obtain an occurrence probability of the environmental risk event of the target object, and divide the risk level of the environment where the target object is located according to the occurrence probability and the hazard value.

[0184] The memory 303 can be used to store corresponding instruction programs.

[0185] In this embodiment, the network communication port 301 can be a virtual port that can send or receive different data by binding with different communication protocols. For example, the network communication port can be a port responsible for web data communication, a port responsible for FTP data communication, or a port responsible for mail data communication. In addition, the network communication port can also be an entity communication interface or a communication chip. For example, it can be a wireless mobile network communication chip such as GSM, CDMA, etc.; it can also be a Wifi chip; it can also be a Bluetooth chip.

[0186] In this embodiment, the processor 302 can be implemented in any appropriate manner. For example, the processor can take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro)processor, logic gates, switches, application specific integrated circuits (ASIC), programmable logic controllers, and embedded microcontrollers, etc. The present specification is not limited.

[0187] In this embodiment, the memory 303 can include multiple levels. In a digital system, as long as it can save binary data, it can be a memory; in an integrated circuit, a circuit without a physical form and with a storage function is also called a memory, such as RAM, FIFO, etc.; in a system, a storage device with a physical form is also called a memory, such as a memory stick, a TF card, etc.

[0188] The embodiment of the present specification also provides a computer storage medium based on the risk level division method of the environment where the target object is located, and the computer storage medium stores computer programs / instructions which, when executed, implement: determining a comprehensive damage result of an environmental risk substance involved in the life cycle of a target object to health and an ecosystem; quantifying a plurality of sensitivity index data involved in the target object, and determining a comprehensive sensitivity coefficient according to the quantified plurality of sensitivity index data; determining a hazard value of the environmental risk substance to the environment where the target object is located according to the comprehensive damage result and the comprehensive sensitivity coefficient; obtaining an occurrence probability of an environmental risk event of the target object, and dividing the risk level of the environment where the target object is located according to the occurrence probability and the hazard value.

[0189] In the embodiment, the storage medium includes but is not limited to a random access memory (RAM), a read-only memory (ROM), a cache, a hard disk drive (HDD), or a memory card. The storage medium can be used to store computer program instructions. The network communication unit can be an interface set according to the standard of a communication protocol, and is used for network connection communication.

[0190] In the embodiment, the functions and effects of the program instructions stored in the computer storage medium can be explained in comparison with other embodiments, and will not be described here.

[0191] Although the present specification provides method operation steps as described in the embodiments or flowcharts, more or fewer operation steps can be included based on conventional or non-inventive means. The order of steps listed in the embodiments is only one of the many execution orders of the steps, and does not represent the only execution order. When the device or client product is executed in practice, the method order shown in the embodiments or the drawings can be executed in sequence or in parallel (for example, in a parallel processor or a multi-thread processing environment, or even in a distributed data processing environment). The term "comprise", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, product or equipment. Without more limitations, it does not exclude the presence of other same or equivalent elements in the process, method, product or equipment including the elements. The terms "first", "second" and the like are used to represent names, and do not represent any particular order.

[0192] Those skilled in the art will also appreciate that, in addition to being implemented in purely computer readable program code means, the controller can be implemented using logic gates, switches, application specific integrated circuits, programmable logic controllers and embedded microcontrollers to perform the same functions as described by the method steps. The controller can therefore be considered as a hardware component and the means for performing the various functions described therein can be considered as structures within the hardware component. Alternatively, the means for performing the various functions can be considered as both software modules which implement the method and structures within the hardware component.

[0193] The specification can be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc., that perform particular tasks or implement particular abstract data types. Computer-executable instructions, associated data structures, and the like, can also be stored in distributed environments, such as over a network, and can be downloaded into local memories of remote processors or devices for execution.

[0194] From the above description of the embodiments, those skilled in the art can clearly understand that the specification can be implemented by means of software plus necessary universal hardware platforms. Based on such an understanding, the technical solutions of the specification can essentially be embodied in a form of software product. The computer software product can be stored in a storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a mobile terminal, a server, or a network device, etc.) execute the methods described in each of the embodiments or some parts of the embodiments.

[0195] The embodiments in the specification are described in a progressive manner, and the same or similar parts among the embodiments can be referred to each other. Each of the embodiments mainly describes the differences from other embodiments. The specification can be used in many general or specific computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, etc.

[0196] Although the specification is described through the embodiments, those skilled in the art know that the specification has many variations without departing from the spirit of the specification, and it is intended that the appended claims encompass these variations without departing from the spirit of the specification.

Claims

1. A method for classifying the risk level of the environment in which a target object is located, characterized in that: include: Determine the comprehensive damage results of environmental risk substances on health and ecosystems during the life cycle of the target object; Quantify multiple sensitivity indicator data related to the target object and determine the comprehensive sensitivity coefficient based on the quantified multiple sensitivity indicator data; the multiple sensitive indicator data include: population density, enterprise output value, number of employees, surrounding transportation, river water bodies and ecosystem types; Determining the hazard value of the environmental risk substance to the environment in which the target object is located based on the comprehensive damage result and the comprehensive sensitivity coefficient; Obtaining the probability of an environmental risk event occurring in the target object, and classifying the risk level of the target object's environment based on the probability of occurrence and the hazard value; The method further comprises: Determine the first score corresponding to each passive protection measure based on the passive protection measures grading standard of the target object; Normalizing the corresponding passive protection measures according to the first scores to obtain quantified passive protection values; Determining a second weight corresponding to each passive protection measure, and performing a weighted summation of the second weight and the corresponding quantized passive protection values ​​to obtain a comprehensive passive protection value; Obtaining an inverse proportional value of the comprehensive passive protection value to obtain a reduction coefficient of the comprehensive passive protection value; Determining the hazard value of the environmental risk substance to the environment where the target object is located based on the comprehensive damage result and the comprehensive sensitivity coefficient includes: Determining the hazard value of the environmental risk substance to the environment in which the target object is located based on the product of the comprehensive damage result, the comprehensive sensitivity coefficient and the reduction coefficient; The obtaining of the probability of an environmental risk event occurring in the target object includes: Determine the second score corresponding to each management factor according to the management factor grading standard of the target object; Normalizing the corresponding management factors according to the second scores to obtain quantified management values; Determine a third weight corresponding to each management factor, and perform weighted summation of the third weight and the corresponding quantified management values ​​to obtain a comprehensive management value; Obtaining a comprehensive active protection value, calculating an inverse proportional value of the product of the comprehensive management value and the comprehensive active protection value, and obtaining a probability of occurrence of an environmental risk event for the target object; The process of obtaining the comprehensive active protection value is as follows: Determine the third score corresponding to each active protection measure based on the active protection measures grading standards of the target object; Normalizing the corresponding active protection measures according to the third scores to obtain quantified active protection values; Determine a fourth weight corresponding to each active protection measure, perform weighted summation on the fourth weight and the corresponding quantized active protection values, and obtain a comprehensive active protection value.

2. The risk level classification method according to claim 1, characterized in that: The environmental risk substances involved in the life cycle of the target object include at least one of the following: pollutants, resource-consuming substances, chemicals, waste or by-products produced, processed, used, stored or released by the target object.

3. The risk level classification method according to claim 1, characterized in that: The comprehensive damage results of environmental risk substances on health and ecosystems during the life cycle of the target object shall include: Obtaining a first damage coefficient of the environmental risk substance to health, a second damage coefficient of the environmental risk substance to the ecosystem, and a usage amount of the environmental risk substance; determining a first damage result of the environmental risk substance on health based on the first damage coefficient and the dosage; determining a second damage result of the environmental risk substance on the ecosystem based on the second damage coefficient and the usage; Based on the first damage result and the second damage result, the comprehensive damage result of the environmental risk substance to health and the ecosystem is determined.

4. The risk level classification method according to claim 1, characterized in that: The multiple sensitivity indicator data involved in the quantitative target object include: Determine the attribute value corresponding to each sensitivity indicator data according to the sensitivity grading standard of the multiple sensitivity indicator data; According to the attribute value, the corresponding sensitivity index data is normalized to obtain a plurality of quantified sensitivity index data; Accordingly, determining the comprehensive sensitivity coefficient based on the quantified multiple sensitivity index data includes: Determine a first weight corresponding to each sensitivity indicator data; The first weight is weighted and summed with the corresponding quantified sensitivity index data to obtain a comprehensive sensitivity coefficient.

5. The risk level classification method according to claim 1, characterized in that: The risk level of the target object's environment is divided according to the occurrence probability and the hazard value, including: Determining a risk value of the environment in which the target object is located based on the product of the occurrence probability and the hazard value; According to the risk value, the risk level of the environment in which the target object is located is divided.

6. A device for classifying the risk level of the environment where a target object is located, characterized in that: include: Comprehensive damage result determination module, used to determine the comprehensive damage results of environmental risk substances involved in the life cycle of the target object to health and ecosystems; A comprehensive sensitivity coefficient determination module is used to quantify multiple sensitivity indicator data involved in the target object and determine the comprehensive sensitivity coefficient based on the quantified multiple sensitivity indicator data; the multiple sensitive indicator data include: population density, enterprise output value, number of employees in the enterprise, surrounding transportation, river water bodies and ecosystem types; a hazard value determination module, configured to determine the hazard value of the environmental risk substance to the environment in which the target object is located based on the comprehensive damage result and the comprehensive sensitivity coefficient; A risk level classification module is used to obtain the probability of an environmental risk event occurring to a target object, and classify the risk level of the target object's environment according to the probability of occurrence and the hazard value; The hazard value determination module is further configured to: Determine the first score corresponding to each passive protection measure based on the passive protection measures grading standard of the target object; Normalizing the corresponding passive protection measures according to the first scores to obtain quantified passive protection values; Determining a second weight corresponding to each passive protection measure, and performing a weighted summation of the second weight and the corresponding quantized passive protection values ​​to obtain a comprehensive passive protection value; Obtaining an inverse proportional value of the comprehensive passive protection value to obtain a reduction coefficient of the comprehensive passive protection value; Determining the hazard value of the environmental risk substance to the environment where the target object is located based on the comprehensive damage result and the comprehensive sensitivity coefficient includes: Determining the hazard value of the environmental risk substance to the environment in which the target object is located based on the product of the comprehensive damage result, the comprehensive sensitivity coefficient and the reduction coefficient; The obtaining of the probability of an environmental risk event occurring in the target object includes: Determine the second score corresponding to each management factor according to the management factor grading standard of the target object; Normalizing the corresponding management factors according to the second scores to obtain quantified management values; Determine a third weight corresponding to each management factor, and perform weighted summation of the third weight and the corresponding quantified management values ​​to obtain a comprehensive management value; Obtaining a comprehensive active protection value, calculating an inverse proportional value of the product of the comprehensive management value and the comprehensive active protection value, and obtaining a probability of occurrence of an environmental risk event for the target object; The process of obtaining the comprehensive active protection value is as follows: Determine the third score corresponding to each active protection measure based on the active protection measures grading standards of the target object; Normalizing the corresponding active protection measures according to the third scores to obtain quantified active protection values; Determine a fourth weight corresponding to each active protection measure, perform weighted summation on the fourth weight and the corresponding quantized active protection values, and obtain a comprehensive active protection value.

7. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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