Risk grade division method and device for environment where target object is located

Abstract

The invention discloses a risk grade division method and device for an environment where a target object is located. The method comprises the following steps: determining a comprehensive damage result of environmental risk substances involved in a life cycle of the target object to a health and ecological system; quantifying the multiple pieces of sensitivity index data related to the target object, and determining a comprehensive sensitivity coefficient according to the multiple pieces of quantified sensitivity index data; according to the comprehensive damage result and the comprehensive sensitivity coefficient, determining a hazard value of an environment risk substance to the environment where the target object is located; and obtaining the probability of occurrence of the environmental risk event of the target object, and dividing the risk level of the environment where the target object is located according to the probability of occurrence and the hazard value. According to the method, the risk level of the environment where the target object is located can be accurately and comprehensively divided, so that the effectiveness of accident prevention and emergency response can be improved, and a scientific basis is provided for environmental safety management.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental risk classification, and in particular to a method and device for classifying the risk level of the environment in which a target object is located. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No admission is made that the description herein is prior art by inclusion in this section.

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

[0004] However, when classifying the environmental risk level of enterprises, the existing technologies often only focus on a single factor, such as the amount of pollutant emissions or the probability of accidents, ignoring the integrity and complexity of the environmental risks of enterprises, and lack consideration of the impact of corporate activities on the environment from the perspective of the life cycle, making it difficult to fully reflect the actual environmental risk level of the enterprise. In addition, the existing technologies do not fully consider sensitive indicator data, etc., making it difficult to reflect the actual scope and extent of the impact of corporate environmental risks. In addition, the existing technologies lack quantitative standards, resulting in insufficient objectivity and comparability in the results of the classification of corporate environmental risk levels. In summary, the existing technologies have the problem of being unable to accurately and comprehensively classify the risk level of the environment in which the target object is located.

[0005] To address the above problems, no effective solution has been proposed yet. Summary of the invention

[0006] The embodiments of this specification provide a method and device for classifying the risk level of the environment in which a target object is located, so as to solve the problem that the prior art cannot accurately and comprehensively classify the risk level of the environment in which a target object is located.

[0007] In a first aspect, an embodiment of the present specification provides a risk level classification of an environment in which a target object is located, the method comprising:

[0008] Determine the comprehensive damage results of environmental risk substances on health and ecosystems during the life cycle of the target object;

[0009] Quantify multiple sensitivity index data involved in the target object, and determine the comprehensive sensitivity coefficient based on the quantified multiple sensitivity index data;

[0010] Determine 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;

[0011] The probability of an environmental risk event occurring in the target object is obtained, and the risk level of the environment in which the target object is located is divided according to the probability of occurrence and the hazard value.

[0012] In some embodiments, 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, wastes or by-products produced, processed, used, stored or released by the target object.

[0013] In some embodiments, the determination of the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to health and the 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 on health according to the first damage coefficient and the usage;

[0016] Determining a second damage result of the environmental risk substance on the ecosystem based on the second damage coefficient and the usage;

[0017] 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.

[0018] In some embodiments, the multiple sensitivity index data involved in the quantitative target object include:

[0019] According to the sensitivity classification standards of multiple sensitivity indicator data, the attribute value corresponding to each sensitivity indicator data is determined;

[0020] According to the attribute value, the corresponding sensitivity index data is normalized to obtain a plurality of quantized sensitivity index data;

[0021] Accordingly, determining the comprehensive sensitivity coefficient according to the quantified multiple sensitivity index data includes:

[0022] Determine a first weight corresponding to each sensitivity indicator data;

[0023] The first weight is weighted and summed with the corresponding quantified sensitivity index data to obtain a comprehensive sensitivity coefficient.

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

[0025] Determine the first score corresponding to each passive protection measure according to the passive protection measures classification standard of the target object;

[0026] According to the first score, normalize the corresponding passive protection measures to obtain quantified passive protection values;

[0027] Determine a second weight corresponding to each passive protection measure, and perform weighted summation of the second weight and the corresponding quantized passive protection values ​​to obtain a comprehensive passive protection value;

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

[0029] In some embodiments, determining 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 includes:

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

[0031] In some embodiments, obtaining the probability of an environmental risk event occurring to the target object includes:

[0032] Determine the second score corresponding to each management factor according to the management factor classification standard of the target object;

[0033] According to the second score, normalize the corresponding management factors to obtain quantified management values;

[0034] Determine a third weight corresponding to each management factor, and perform weighted summation of the third weight and each corresponding quantized management value to obtain a comprehensive management value;

[0035] Obtain a comprehensive active protection value, find the inverse proportional value of the product of the comprehensive management value and the comprehensive active protection value, and obtain the probability of an environmental risk event occurring in the target object.

[0036] In some embodiments, the step of classifying the risk level of the environment in which the target object is located according to the occurrence probability and the hazard value includes:

[0037] Determining the risk value of the environment in which the target object is located according to the product of the occurrence probability and the hazard value;

[0038] According to the risk value, the risk level of the environment in which the target object is located is divided.

[0039] In a second aspect, the embodiments of this specification also provide a device for classifying the risk level of the environment in which the target object is located, and the device includes:

[0040] The module for determining the comprehensive damage results is used to determine the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to health and the ecosystem;

[0041] A comprehensive sensitivity coefficient determination module is used to quantify multiple sensitivity index data involved in the target object and determine the comprehensive sensitivity coefficient based on the quantified multiple sensitivity index data;

[0042] A hazard value determination module, used to determine 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;

[0043] The risk level classification module is used to 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 according to the probability of occurrence and the hazard value.

[0044] In a third aspect, the embodiments of this specification further provide a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implement the steps of the risk level classification method for the environment in which the target object is located.

[0045] The embodiments of this specification provide a method and device for dividing the risk level of the environment in which the target object is located. First, the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to health and the ecosystem are determined. Then, multiple sensitivity index data involved in the target object are quantified, and the comprehensive sensitivity coefficient is determined based on the quantified multiple sensitivity index data. Then, based on the comprehensive damage results and the comprehensive sensitivity coefficient, the hazard value of the environmental risk substances to the environment in which the target object is located is determined. Finally, the probability of an environmental risk event occurring in the target object is obtained, and the risk level of the environment in which the target object is located is divided according to the probability of occurrence and the hazard value. In the embodiments of this specification, by determining the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to health and the ecosystem, different types of environmental risk substances can be taken into consideration, and the environmental risks of the enterprise can be evaluated more comprehensively and scientifically, and the impact of corporate 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 multiple sensitivity index data involved in the target object, combining the comprehensive damage results to determine the hazard value of environmental risk substances to the target object's environment, and then combining the hazard value with the probability of occurrence, the enterprise's environmental risk level can be reasonably determined, and the risk exposure of the enterprise in a complex environment can be more systematically and scientifically evaluated. This can improve the effectiveness of accident prevention and emergency response and provide a scientific basis for environmental safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0047] Figure 1 It is a flowchart of a method for classifying the risk level of the environment in which a target object is located provided in an embodiment of this specification;

[0048] Figure 2 It is a schematic diagram of the structure of a device for classifying the risk level of the environment in which a target object is located provided in an embodiment of this specification;

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

[0050] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0051] As mentioned above, when classifying the environmental risk level of enterprises, existing technologies often only focus on a single factor, such as pollutant emissions or the probability of accidents, ignoring the integrity and complexity of corporate environmental risks, and lacking consideration of the impact of corporate activities on the environment from a life cycle perspective, resulting in an inability to fully evaluate the performance of enterprises in different environmental impact categories (such as climate change, ecotoxicity, resource consumption, etc.), making it difficult to fully reflect the actual environmental risk level of enterprises. In addition, existing technologies often lack sufficient consideration of the sensitivity indicator data (receptor conditions) involved in the enterprise, making it difficult to reflect the actual scope and extent of the impact of corporate environmental risks. In addition, existing technologies lack quantitative standards, resulting in insufficient objectivity and comparability in the results of the classification of corporate environmental risk levels.

[0052] In order to solve the above problems, the embodiments of this specification provide a method and device for dividing the risk level of the environment in which the target object is located. First, the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to the health and ecosystem are determined. Then, the multiple sensitivity index data involved in the target object are quantified, and the comprehensive sensitivity coefficient is determined based on the quantified multiple sensitivity index data. Then, based on the comprehensive damage results and the comprehensive sensitivity coefficient, the hazard value of the environmental risk substances to the environment in which the target object is located is determined. Finally, the probability of occurrence of an environmental risk event of the target object is obtained, and the risk level of the environment in which the target object is located is divided according to the occurrence probability and the hazard value.

[0053] In the embodiments of this specification, the above method is used to consider the comprehensive damage results of the environmental risk substances involved in the target object to health and the ecosystem from the perspective of the life cycle, which can more comprehensively and scientifically divide the risk level of the environment in which the target object is located, and solve the problem that the existing technology is difficult to fully reflect the actual environmental risk level of the target object. By quantifying the sensitivity index data involved in the target object, combining the comprehensive damage results to determine the hazard value, and combining the hazard value with the probability of occurrence, the risk level can be reasonably divided, and the risk exposure of the enterprise in a complex environment can be evaluated more systematically and scientifically. Thereby, the effectiveness of accident prevention and emergency response can be improved, and a scientific basis can be provided for environmental safety management.

[0054] It should be noted that the terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so as to describe the embodiments of the present application described herein.

[0055] It is understood that the above method provided in the embodiments of this specification can be applied to electronic devices, and the electronic devices can refer to electronic devices 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, an intelligent robot, etc.; it can also be a server. Among them, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0056] A method for classifying the risk level of the environment in which a target object is located provided in an embodiment of this specification will be introduced below in conjunction with the accompanying drawings.

[0057] Figure 1It is a flow chart of a method for classifying the risk level of the environment in which a target object is located, provided in an embodiment of this specification. Although this specification provides method operation steps or device structures as shown in the following embodiments or drawings, more or fewer operation steps or module units may be included in the method or device based on routine or no creative labor. In the steps or structures that do not logically have a necessary causal relationship, 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 is applied in 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). For specific implementation, refer to Figure 1 As shown, the method may include the following contents.

[0058] S101: Determine the comprehensive damage results of environmental risk substances on health and ecosystems during the life cycle of the target object.

[0059] In some embodiments, the target object may be an enterprise or industry, etc. The environmental risk substances may cause a certain degree of damage to health (human health) and the ecosystem. The comprehensive impact of environmental risk substances on health (human health) and the ecosystem may be considered to determine the comprehensive damage results. Based on this, the hazard value of the environmental risk substances to the environment in which the target object is located may be accurately determined. The hazard value may be used as one of the key factors for dividing the risk level of the environment in which the target object is located. The specific method for determining the hazard value will be explained later and will not be repeated in this specification.

[0060] In some embodiments, the environmental risk substances involved in the life cycle of the target object in the above S101 may 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.

[0061] Among them, pollutants can include pollutants in gaseous, liquid and solid forms, mainly from the emission or leakage process, such as carbon dioxide (CO2), methane (CH4), nitric oxide (N2O), sulfur oxides (SOx), nitrogen oxides (NOx), heavy metals (such as mercury, cadmium) and organic pollutants (such as volatile organic compounds VOCs). Resource consumption substances can be resources used in production or operation processes, such as oil, natural gas, coal, water resources, rare metals (such as lithium, cobalt), etc. The damage to health caused by resource consumption is mainly reflected in the environmental burden during 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 habitats, biodiversity and ecological functions. Chemical substances may be emitted during processing, such as ammonia, sulfuric acid, chlorine, etc. The impact of waste or by-products on health usually occurs through direct contact, inhalation, drinking contaminated water or eating contaminated food. The damage to the ecosystem is mainly reflected in the migration and accumulation of pollutants and the decline of biodiversity. Such as wastewater, industrial waste residues, etc.

[0062] In some embodiments, determining the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to health and the ecosystem in S101 may include:

[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 usage amount of the environmental risk substance;

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

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

[0066] S14: Determine the comprehensive damage result of the environmental risk substance to health and the ecosystem based on the first damage result and the second damage result.

[0067] Specifically, the environmental risk substances in S11 can be different types of environmental risk substances, and the specific values ​​of the damage coefficients of different types of environmental risk substances to human health and ecosystems can be different. The human health and ecosystem damage coefficients are the ultimate impacts on human health and ecosystems that are summarized from multiple environmental impact categories (such as climate change, toxicity, acidification, etc.). These coefficients quantify the degree of damage to the overall health and ecological environment caused by material emissions or resource consumption, and provide an 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 for human health and the second damage coefficient for the ecological coefficient of each environmental risk substance can be found in the LCA impact assessment database. Because the impact of emergencies is usually measured in days, and the maximum dosage can reflect the maximum possible harm, the dosage of environmental risk substances in S11 can be the maximum daily dosage in kg, and the maximum daily dosage of environmental risk substances involved in the target object can be obtained by collection.

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

[0069]

[0070] Among them, Q1 is the first harmful result of environmental risk substances on health; q i is the amount of the i-th environmental risk substance; h i is the first health damage coefficient of the ith environmental risk substance; m is the total number of environmental risk substances.

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

[0072]

[0073] Among them, Q2 is the second damage result of environmental risk substances to the ecosystem; q i is the amount of the i-th environmental risk substance; e i is the second damage coefficient of the i-th environmental risk substance to the ecosystem; m is the total number of environmental risk substances.

[0074] The comprehensive damage results of the environmental risk substances to health and ecosystems in S14 can be determined according to the following formula:

[0075]

[0076] Among them, Q is the comprehensive damage result of environmental risk substances to health and ecosystems; Q1 is the first damage result of environmental risk substances to health; Q2 is the second damage result of environmental risk substances to ecosystems; B1 is the health damage baseline value; B2 is the ecosystem damage baseline value; ω1 is the health impact weight; ω2 is the ecosystem impact weight.

[0077] The above 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 of a specific year) to normalize the first damage result and the second damage result, and normalize the two damage results to dimensionless relative values. Then, the normalized damage result is weighted to obtain a comprehensive damage result. Among them, the benchmark value usually represents the total environmental impact in a certain area, industry or specific time period, which is public data. The weights ω1 and ω2 can be set according to the environmental policy priority, risk management objectives, or the importance of each damage category to the decision-making, and this manual does not make specific restrictions on this. For example: Priority is given to human health (health impact weight ω1> ecosystem impact weight ω2). At this time, the policy focus is to protect human health (such as reducing the burden of disease), then the human health impact weight should be increased, and ω1=0.7 and ω2=0.3 can be set. Priority is given to ecological protection (health impact weight ω1<ecosystem impact weight ω2). At this time, the goal is to restore ecosystem functions or protect biodiversity, then the ecosystem impact weight should be increased, and ω1=0.3 and ω2=0.7 can be set. When there is no clear preference, equal weighting is used (health impact weight ω1 = ecosystem impact weight ω2 = 0.5).

[0078] The above embodiment makes full use of the indicators and coefficients in the life cycle assessment (LCA) model when calculating the damage of environmental risk substances to human health and the ecosystem, such as the first damage coefficient to human health and the second damage coefficient to the ecosystem, so as to take into account all different types of environmental risk substances. This design enables the present invention to more comprehensively and scientifically evaluate industrial or enterprise environmental risks, and solves the problem that it is difficult to accurately evaluate the comprehensive impact of multiple pollutants on the environment in existing methods.

[0079] S102: Quantify multiple sensitivity indicator data involved in the target object, and determine a comprehensive sensitivity coefficient according to the quantified multiple sensitivity indicator data.

[0080] In some embodiments, the multiple sensitivity indicator data involved in the above-mentioned target object is equivalent to the receptor situation involved in the target object, which may include population (population density), ecological environment (river water body, ecosystem type) and resource data (enterprise output value, number of employees in the enterprise, surrounding traffic). Multiple sensitive indicator data may include six underlying indicators: population density, enterprise output value, number of employees in the enterprise, surrounding traffic, river water body and ecosystem type. The above-mentioned quantification can be normalized for the receptor situation involved in 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 multiple sensitivity index data involved in the quantified target object in S102 may include:

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

[0083] S22: performing normalization processing on the corresponding sensitivity index data according to the attribute value to obtain a plurality of quantized sensitivity index data;

[0084] Accordingly, the step of determining the comprehensive sensitivity coefficient according to the quantified multiple sensitivity index data in S102 may include:

[0085] S23: Determine a first weight corresponding to each sensitivity indicator data;

[0086] S24: Perform a weighted summation of the first weight and the corresponding quantified sensitivity index data to obtain a 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 characteristics of the actual research area. The attribute value of each sensitivity index data adopts a scale division method of 0, 1, 2, and 3, as shown in Table 1. The above-mentioned determination of the attribute value corresponding to each sensitivity index data may include: determining the original attribute value, the minimum attribute value, and the maximum attribute value corresponding to each sensitivity index data.

[0088] Table 1 Sensitivity classification standards for multiple sensitivity index data

[0089]

[0090] According to the sensitivity classification standard, the attribute value corresponding to each sensitivity index data can be determined, and then the corresponding sensitivity index data can be normalized according to the attribute value corresponding to the sensitivity index data, such as: the population density A1 around the enterprise is 400 people / km 2 ,From Table 1, we can see that the original attribute value of A1 is 2, the minimum attribute value is 0, and the maximum attribute value is 3. Substituting the above values ​​into the following formula, A1 is linearly transformed to the interval [0,1].

[0091]

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

[0093] That is, the value of population density after quantification or normalization is:

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

[0095] After normalization, all sensitivity index data are in the same dimension, and then the first weight corresponding to each sensitivity index data is determined, and a comprehensive sensitivity coefficient can be obtained by weighted summation. Among them, the first weight of each sensitivity index data in the above S23 can be determined according to the following formula:

[0096]

[0097] Among them, r j Score the importance of the jth sensitivity indicator data (expert scoring method can be used, with a range of 1 to 10); a j is the first weight corresponding to the j-th sensitivity index data.

[0098] For example: Population density (A1) score 9, enterprise output value (B1) score 8, enterprise employees (B2) score 7, surrounding transportation (C1) score 8, distance to water body (C2) score 3, ecosystem type (C3) score 5, total score The total weights are: 9+8+7+8+3+5=40. The weights are: 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] Among them, E is the comprehensive sensitivity coefficient; a1, a2, ..., a6 are the first weights corresponding to population density, total enterprise output value, number of employees, surrounding transportation, river water body, and ecosystem type; X A1 is the normalized value of population density; X B1 is the normalized value of the total output value of the enterprise; X B2 is the normalized value of the number of employees in the enterprise; X C1 is the normalized value of surrounding traffic; X C2 is the normalized value of river water; X C3 The values ​​are normalized for ecosystem type.

[0102] The above embodiments can construct a more scientific receptor assessment system by normalizing the sensitivity of receptors involved in industries or enterprises (such as population, ecological environment and resource data). This method is not limited to the assessment of a single pollutant or receptor, but a comprehensive evaluation of the overall sensitivity of the receptor, and a more scientific assessment of the impact of pollutants from the perspective of the sensitivity of the receptor to different pollutants. This enables the present invention to more reasonably and systematically conduct a comprehensive assessment of the environmental risks of enterprises, and improves its applicability in multi-industry and multi-receptor scenarios.

[0103] S103: Determine 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.

[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, the specific implementation may also include:

[0105] S31: Determine a first score corresponding to each passive protection measure according to a passive protection measure classification standard for the target object;

[0106] S32: performing normalization processing on corresponding passive protection measures according to the first scores to obtain quantified passive protection values;

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

[0108] S34: Calculate the 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 above S103, according to the comprehensive damage result and the comprehensive sensitivity coefficient, determines the hazard value of the environmental risk substance to the environment where the target object is located, which may include:

[0110] S35: Determine the hazard 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 the above S31 can also be called passive protection layers. According to the way the enterprise prevents and controls environmental risk substances and the effectiveness of its measures, the passive protection measures can be divided into the following four levels, corresponding to different protection goals and capabilities. The passive protection layer levels are divided into: Level 1 prevention and control system (source control): protection measures focus on reducing the generation of pollution sources. Level 2 prevention and control system (process treatment): protection measures focus on controlling the spread and treatment of pollutants in the operation of the enterprise. Level 3 prevention and control system (emission control): protection measures are committed to reducing the impact of the final emission of pollutants on the environment. Level 4 prevention and control system (emergency response): protection measures are aimed at emergency response capabilities when accidents occur. The above-mentioned passive protection measures classification standard can be as follows: the specific protection measures corresponding to each passive protection layer level can be determined, and then the specific protection measures can be scored to obtain the corresponding first score. For example, if there are no interception measures under the source control level, the first score can be set to 1; if there are interception measures and the interception measures are leakage prevention, corrosion prevention, leaching prevention, loss prevention measures, etc., the first score can be set to 2; if there are interception measures and the interception measures are other, the first score can be set to 3, and so on. The specific setting of the first score can refer to actual experience or actual needs, and this manual does not make specific limitations on this.

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

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

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

[0115]

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

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

[0118] P1′=1 / (P1+ε)(8)

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

[0120] The hazard value of the environmental risk substance to the environment where the target object is located in S35 can be calculated according to the following formula:

[0121] D=Q×E×P1′(9)

[0122] Among them, D is the hazard value of environmental risk substances to the environment where the target object is located; Q is the comprehensive damage result of environmental risk substances to health and ecosystems; E is the comprehensive sensitivity coefficient; P1′ is the reduction coefficient of the comprehensive passive protection value.

[0123] Among them, the comprehensive passive protection value can indicate the degree of perfection of the protection measures. The higher the value, the stronger the protection capability. The reduction coefficient can be inversely proportional to the comprehensive passive protection value. Formula (8) (9) can indicate that the higher the comprehensive passive protection value, the stronger the protection capability, the smaller the reduction coefficient, and the smaller the hazard value of the environmental risk substance to the environment where the target object is located.

[0124] The above embodiment, by quantifying multiple sensitivity indicator data, quantifying passive protection measures, and combining them with comprehensive damage results, can accurately and comprehensively determine the hazard value of environmental risk substances to the environment in which the target object is located, thereby providing a good data foundation for the subsequent classification of the risk level of the environment in which the target object is located.

[0125] S104: Obtain the probability of an environmental risk event occurring to the target object, and classify the risk level of the environment in which the target object is located according to the probability of occurrence and the hazard value.

[0126] In some embodiments, obtaining the probability of an environmental risk event occurring to the target object in S104 may include:

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

[0128] S42: performing normalization processing on corresponding management factors according to the second scores to obtain quantified management values;

[0129] S43: determining a third weight corresponding to each management factor, and performing weighted summation on the third weight and the corresponding quantified values ​​of each management factor to obtain a comprehensive management value;

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

[0131] Specifically, the management factors in S41 above can reflect the management level of the enterprise, the standardization and perfection of the implementation of the system. It represents the actual impact of the enterprise's management activities on risk control, and takes technical standards and implementation status as the quantitative basis. It is a quantitative assessment of the soft management capabilities of the enterprise, thereby indirectly affecting the probability of accidents. It can include six aspects: fire acceptance, production safety license, hazardous chemical safety evaluation, registration of major hazardous sources of hazardous chemicals, rules and regulations, environmental management / safety certification level and others. The above-mentioned management factor grading standards are as follows: specific measures for each of the six aspects of the above-mentioned management factors can be determined, and then the specific measures are scored to obtain the corresponding second score. For example, for non-hazardous chemical enterprises under production safety licenses, or hazardous chemical enterprises that obtain production safety licenses, the second score can be set to 2, etc. The specific second score can be set with reference to actual experience or actual needs, and this manual does not make specific restrictions on this.

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

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

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

[0135]

[0136] Among them, B is the comprehensive management value; d i is the third weight corresponding to the i-th management factor, d1=d2=...=d i =1 / n; n is the total number of management factor measures; B i is the quantified management value of the i-th item.

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

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

[0139] S442: performing normalization processing on the corresponding active protection measures according to the third score to obtain quantized active protection values;

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

[0141] Among them, the active protection measures in the above S441 can also be called protection layers, which can represent the comprehensive effectiveness of the physical protection measures taken by the enterprise, and are evaluated in combination with technical equipment, system design and other active protection means. The protection layer reflects the control ability of the enterprise's physical protection measures on risks. The evaluation process is based on the safety of equipment and facilities, the advancement of process design, etc., indicating the direct inhibitory effect of the enterprise's hardware facilities (such as process flow, alarm system, etc.) on the occurrence of risk events, which is a quantitative value evaluated by physical and technical protection measures. The above-mentioned active protection measures classification standard can be as follows: the specific prevention and control measures corresponding to the protection layer type can be determined, and then the specific prevention and control measures can be scored to obtain the corresponding third score, such as the third score of the environmentally friendly process under the process flow classification can be set to 3, the third score of the medium pollution process can be set to 2, and the third score of the heavy pollution process can be set to 1, etc. The specific third score can be set with reference to actual experience or actual needs, and this manual does not make specific restrictions on this.

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

[0143] After normalization, all active protection measures are on 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. Among them, the fourth weight corresponding to each active protection measure can be the same.

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

[0145]

[0146] Among them, 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 quantified active protection measure value of the i-th value.

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

[0148]

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

[0150] Among them, formula (12) can indicate that the higher the value of B and P2, the better the protection measures and the smaller the probability of risk events.

[0151] In the above embodiment, by quantifying various management factors and active protection measures, the probability of an environmental risk event occurring in the target object can be accurately determined, and the probability of occurrence can be used as another key factor for classifying the risk level of the environment in which the target object is located. This can solve the problem that the existing technology only focuses on a single factor, such as pollutant emissions or the probability of accidents, ignores the integrity and complexity of corporate environmental risks, lacks consideration of the impact of corporate activities on the environment from a life cycle perspective, and is difficult to fully reflect the actual environmental risk level of the enterprise.

[0152] In some embodiments, the above S104, according to the occurrence probability and the hazard value, classifying the risk level of the environment where the target object is located, when specifically implemented, may include:

[0153] S45: determining a risk value of the environment in which the target object is located according to the product of the occurrence probability and the hazard value;

[0154] S46: According to the risk value, the risk level of the environment where the target object is located is divided.

[0155] The risk value of the environment in which the target object is located in S45 can be calculated according to the following formula:

[0156] R=D×P (13)

[0157] Among them, R is the risk value of the environment in which the target object is located; D is the hazard value of the environmental risk substance to the environment in which the target object is located; and P is the probability of an environmental risk event occurring in the target object.

[0158] Based on the calculated risk value, the risk can be divided into several levels according to the actual situation, corresponding to different safety levels and accident probabilities.

[0159] In the above embodiments, by converting the receptor conditions, passive protection measures, active protection measures, management factors and other aspects into quantifiable values, and by combining the probability of occurrence with the hazard value, the enterprise environmental risk level can be reasonably determined, and the risk exposure of the enterprise in a complex environment can be evaluated more systematically and scientifically. In addition, the combination of passive protection and active protection comprehensively considers the emergency response capabilities and management mechanisms of the enterprise, ensures the comprehensiveness of the risk level division, improves the effectiveness of accident prevention and emergency response, and provides a scientific basis for the environmental safety management of the enterprise.

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

[0161] The above is an explanation of the present invention, however, it is worth noting that the specific embodiment is only for the purpose of better illustrating the present application and describing a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that 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 or continuous order shown 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 embodiments or the attached 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 a necessary causal relationship, 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 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 classifying the risk level of the environment in which the target object is located, the embodiments of this specification also propose an embodiment of a device for classifying 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 the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to health and the ecosystem;

[0164] The comprehensive sensitivity coefficient determination module 202 may 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 may be used to determine 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;

[0166] The risk level classification module 204 may be used to obtain the probability of an environmental risk event occurring to the target object, and classify the risk level of the environment in which the target object is located according to the probability of occurrence and the hazard value.

[0167] In some embodiments, the environmental risk substances involved in the life cycle of the target object in the above-mentioned comprehensive damage result determination module 201 may include at least one of the following: pollutants, resource-consuming substances, chemicals, wastes or by-products 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 to health, a second damage coefficient of the environmental risk substance to the ecosystem, and the amount of the environmental risk substance; determine the first damage result of the environmental risk substance to health based on the first damage coefficient and the amount; determine the second damage result of the environmental risk substance to the ecosystem based on the second damage coefficient and the amount; and determine the comprehensive damage result of the environmental risk substance to health and the ecosystem based on 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 the attribute value corresponding to each sensitivity indicator data according to the sensitivity grading standard of multiple sensitivity indicator data; normalize the corresponding sensitivity indicator data according to the attribute value to obtain multiple quantized sensitivity indicator data; determine the first weight corresponding to each sensitivity indicator data; and perform weighted summation of the first weight and the corresponding quantized sensitivity indicator data to obtain a comprehensive sensitivity coefficient.

[0170] In some embodiments, the above-mentioned hazard value determination module 203 can be specifically used to determine the first score corresponding to each passive protection measure according to the passive protection measure grading standard of the target object; normalize the corresponding passive protection measures according to the first score to obtain each quantified passive protection value; determine the second weight corresponding to each passive protection measure, and perform weighted summation of the second weight and the corresponding quantified passive protection value to obtain a comprehensive passive protection value; obtain the inverse proportional value of the comprehensive passive protection value to obtain the reduction coefficient of the comprehensive passive protection value.

[0171] In some embodiments, the hazard value determination module 203 may be specifically used to determine the hazard value of the environmental risk substance to the environment in which 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 above-mentioned risk level classification module 204 can be specifically used to determine the second score corresponding to each management factor according to the management factor classification standard of the target object; normalize the corresponding management factors according to the second score to obtain quantified management values; determine the third weight corresponding to each management factor, and weighted sum the third weight and the corresponding quantified management values ​​to obtain a comprehensive management value; 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 probability of occurrence of an environmental risk event of the target object.

[0173] In some embodiments, the risk level classification module 204 may be specifically used to determine the risk value of the target object's environment according to the product of the occurrence probability and the hazard value; and classify the risk level of the target object's environment according to the risk value.

[0174] As can be seen from the above, the risk level classification device for the environment in which the target object is located provided in the embodiments of this specification can achieve the following technical effects:

[0175] 1. When calculating the damage of environmental risk substances to human health and ecosystems, the indicators 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 ecosystem, so that all different types of pollutants are taken into consideration. This design enables the present invention to more comprehensively and scientifically evaluate the environmental risks of enterprises, and solves the problem that it is difficult to accurately evaluate the comprehensive impact of multiple pollutants on the environment in existing methods.

[0176] 2. Convert multiple sensitivity indicator data (receptor conditions), protection layer levels (active protection measures, passive protection measures), management factors and other links into quantifiable values, and reasonably determine the enterprise environmental risk level by combining probability and hazard, so as to 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 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 a comprehensive evaluation of the overall sensitivity of the receptor, and a more scientific assessment of the impact of pollutants from the perspective of the sensitivity of the receptor 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 conduct independent assessments on the protection strategies of different enterprises, so that the method has good applicability and versatility, 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 capability and management mechanism 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 embodiment of this specification also provides 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 executable programs / instructions of 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 the comprehensive sensitivity coefficient according to 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 according to 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 according to 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 results of environmental risk substances involved in the life cycle of the target object to health and ecosystem;

[0183] The processor 302 may be specifically used to quantify multiple sensitivity index data involved in the target object, determine a comprehensive sensitivity coefficient according to the quantified multiple sensitivity index data; determine 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; obtain the probability of an environmental risk event occurring in the target object, and classify the risk level of the environment where the target object is located according to the probability of occurrence and the hazard value;

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

[0185] In this embodiment, the network communication port 301 can be a virtual port that is bound to different communication protocols so that different data can be sent or received. 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 email data communication. In addition, the network communication port can also be a physical communication interface or 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 may be implemented in any appropriate manner. For example, the processor may take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (such as software or firmware) executable by the (micro)processor, a logic gate, a switch, an application specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller, etc. This specification does not limit this.

[0187] In this embodiment, the memory 303 may include multiple levels. In a digital system, anything that can store binary data can be a memory; in an integrated circuit, a circuit with a storage function but no physical form 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, TF card, etc.

[0188] The embodiments of this specification also provide a computer storage medium based on the risk level classification method of the environment in which the target object is located, and the computer storage medium stores a computer program / instruction, which, when executed, achieves: determining the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to the health and ecosystem; quantifying multiple sensitivity indicator data involved in the target object, and determining a comprehensive sensitivity coefficient based on the quantified multiple sensitivity indicator data; determining 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; obtaining the probability of an environmental risk event occurring in the target object, and classifying the risk level of the environment in which the target object is located based on the occurrence probability and the hazard value.

[0189] In this 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 (HDD), or a memory card. The memory may be used to store computer program instructions. The network communication unit may be an interface for network connection communication set in accordance with the standard specified by the communication protocol.

[0190] In this embodiment, the functions and effects specifically implemented by the program instructions stored in the computer storage medium can be explained in comparison with other implementations and will not be described in detail here.

[0191] Although the present specification provides method operation steps as described in the embodiments or flow charts, more or less operation steps may be included based on conventional or non-creative means. The order of steps listed in the embodiments is only one way of executing the order of many steps, and does not represent a unique execution order. When the device or client product in practice is executed, it can be executed in sequence or in parallel according to the method shown in the embodiments or the drawings (for example, a parallel processor or a multi-threaded processing environment, or even a distributed data processing environment). The term "include", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such a process, method, product or device. In the absence of more restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. The first, second, etc. words are used to represent the name, and do not represent any particular order.

[0192] Those skilled in the art also know that, in addition to implementing the controller in a purely computer-readable program code, the controller can be made to implement the same function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, such a controller can be considered as a hardware component, and the devices for implementing various functions included therein can also be considered as structures within the hardware component. Or even, the devices for implementing various functions can be considered as both software modules for implementing the method and structures within the hardware component.

[0193] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media including storage devices.

[0194] Through the description of the above embodiments, it can be known that those skilled in the art can clearly understand that the present specification can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present specification can essentially be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a mobile terminal, a server, or a network device, etc.) to execute the methods described in each embodiment of the present specification or some parts of the embodiments.

[0195] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. This specification can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0196] Although the present specification is described through embodiments, persons skilled in the art will appreciate that there are many variations of the present specification without departing from the spirit of the present specification, and it is intended that the appended claims include these variations without departing from the spirit of the present 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 index data involved in the target object, and determine the comprehensive sensitivity coefficient based on the quantified multiple sensitivity index data; Determining 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; The probability of an environmental risk event occurring in the target object is obtained, and the risk level of the environment in which the target object is located is divided according to the probability of occurrence and the hazard value.

2. The risk level classification method according to claim 1 is 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, wastes or by-products produced, processed, used, stored or released by the target object.

3. The risk level classification method according to claim 1 is characterized in that: The comprehensive damage results of environmental risk substances involved in the life cycle of the target object to health and ecosystems 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 according to 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 is characterized in that: The multiple sensitivity indicator data involved in the quantitative target object include: According to the sensitivity classification standards of multiple sensitivity indicator data, the attribute value corresponding to each sensitivity indicator data is determined; According to the attribute value, the corresponding sensitivity index data is normalized to obtain a plurality of quantized sensitivity index data; Accordingly, determining the comprehensive sensitivity coefficient according to 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 is characterized in that: The method further comprises: According to the passive protection measures classification standard of the target object, determine the first score corresponding to each passive protection measure; According to the first score, normalize the corresponding passive protection measures to obtain quantified passive protection values; Determine a second weight corresponding to each passive protection measure, and perform weighted summation of the second weight and the corresponding quantized passive protection values ​​to obtain a comprehensive passive protection value; An inverse proportional value of the comprehensive passive protection value is obtained to obtain a reduction coefficient of the comprehensive passive protection value.

6. The risk level classification method according to claim 5 is characterized in that: Determining 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 includes: The hazard value of the environmental risk substance to the environment in which the target object is located is determined based on the product of the comprehensive damage result, the comprehensive sensitivity coefficient and the reduction coefficient.

7. The risk level classification method according to claim 1 is characterized in that: 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 classification standard of the target object; According to the second score, normalizing the corresponding management factors to obtain quantified management values; Determine a third weight corresponding to each management factor, and perform weighted summation of the third weight and each corresponding quantized management value to obtain a comprehensive management value; Obtain a comprehensive active protection value, find the inverse proportional value of the product of the comprehensive management value and the comprehensive active protection value, and obtain the probability of an environmental risk event occurring in the target object.

8. The risk level classification method according to claim 1 is characterized in that: The step of classifying the risk level of the environment in which the target object is located according to the occurrence probability and the hazard value includes: Determining the risk value of the environment in which the target object is located according to 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.

9. A device for classifying the risk level of the environment in which a target object is located, characterized in that: include: The module for determining the comprehensive damage results is used to determine the comprehensive damage results of the environmental risk substances involved in the life cycle of the target object to health and the ecosystem; A comprehensive sensitivity coefficient determination module is used to quantify multiple sensitivity index data involved in the target object and determine the comprehensive sensitivity coefficient based on the quantified multiple sensitivity index data; A hazard value determination module, used to determine 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; The risk level classification module is used to 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 according to the probability of occurrence and the hazard value.

10. 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 8 are implemented.

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