Intelligent hazardous waste transportation route planning method and system based on environmental adaptability

Abstract

The invention relates to the technical field of route planning, and particularly discloses an intelligent hazardous waste transportation route planning method and system based on environmental adaptability, and the method comprises the steps: 1, dividing a hazardous waste related total region, and obtaining a plurality of sub-regions; step 2, acquiring a dangerous waste coefficient of each sub-region; 3, evaluating the influence of the hazardous wastes on each sub-region, judging whether the sub-region is a region needing to be avoided or not, and generating a region evaluation signal; 4, a dangerous waste transportation route is preset, and a plurality of preset routes are obtained; 5, analyzing the preset route to obtain a hazard coefficient of the preset route; 6, based on the hazard coefficient, evaluating the hazard degree of the preset route, judging whether the preset route is available or not, and generating a route evaluation signal; 7, sorting all the available routes based on the route available signals; according to the method, the environmental risk in the transportation process is effectively reduced, and the safety of an ecological system and public health is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of power loss, and in particular to a method and system for intelligent hazardous waste transportation route planning based on environmental adaptability. Background Art

[0002] Hazardous waste, referred to as hazardous waste, refers to waste with potential hazards. It is solid waste with hazardous characteristics listed in the national hazardous waste list or identified according to the national hazardous waste identification standards and identification methods, and its characteristics cause harm to human health or the environment. Hazardous waste mainly includes solid waste and liquid waste with one or more hazardous characteristics such as corrosiveness, toxicity, flammability, reactivity or infection.

[0003] Hazardous waste transportation refers to the process of moving corrosive, toxic, flammable or infectious liquid or solid waste from the place of generation to the treatment or disposal site. Due to the hazardous properties of hazardous waste itself, relevant management and risk assessment must be carried out during transportation to avoid damage to the environment or personal injury during transportation.

[0004] However, traditional hazardous waste transportation route planning methods often rely on manual experience and find it difficult to fully consider various complex factors, such as road conditions, weather, population density, environmentally sensitive areas, etc., resulting in higher transportation risks and low efficiency. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for intelligent hazardous waste transportation route planning based on environmental adaptability to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] In a first aspect, the present invention provides a method for intelligent hazardous waste transportation route planning based on environmental adaptability, comprising the following steps:

[0008] Step 1: Divide the total area involved in hazardous waste into multiple sub-areas;

[0009] Step 2: Obtain the hazardous waste coefficient of each sub-area;

[0010] Step 3: Based on the hazardous waste coefficient, evaluate the impact of hazardous waste on each sub-area, determine whether the sub-area is an area that needs to be avoided, and generate a regional evaluation signal;

[0011] Among them, the area assessment signals include: avoidance-needed signals and no-avoidance-needed signals;

[0012] Step 4: Based on the regional assessment signal, preset the hazardous waste transportation route to obtain several preset routes;

[0013] Step 5: Analyze the preset route and obtain the hazard coefficient of the preset route;

[0014] Step 6: Based on the hazard coefficient, evaluate the hazard level of the preset route, determine whether the preset route is desirable, and generate a route evaluation signal;

[0015] The route evaluation signals include: a route-advisable signal and a route-unadvisable signal;

[0016] Step 7: Sort all possible routes based on the route availability signal.

[0017] As a further solution of the present invention: the process of obtaining the hazardous waste coefficient is:

[0018] Obtaining the impact degree representation value and the impact effect representation value of each sub-region respectively;

[0019] Then, the impact degree representation value and the impact effect representation value of each sub-area are multiplied to obtain the hazardous waste coefficient.

[0020] As a further solution of the present invention: the process of obtaining the impact degree characterization value is:

[0021] Based on a single sub-area, a numerical assessment of 0-100 is performed according to the impact of hazardous waste on the sub-area to obtain an impact characterization value.

[0022] As a further solution of the present invention: the process of obtaining the impact effect characterization value is:

[0023] Based on a single sub-region, the area affected by the waste in the sub-region is extracted and marked as the affected area. The area of ​​the affected area is calculated to obtain the affected area. The ratio of the affected area to the total area of ​​the region is calculated to obtain the impact effect characterization value.

[0024] As a further solution of the present invention: the process of generating the regional evaluation signal is:

[0025] Preset the hazardous waste coefficient threshold, and compare and analyze the hazardous waste coefficient with the hazardous waste coefficient threshold;

[0026] If the hazardous waste coefficient is less than or equal to the hazardous waste coefficient threshold, a no-avoidance signal is generated;

[0027] If the hazardous waste coefficient is greater than the hazardous waste coefficient threshold, an avoidance signal is generated.

[0028] As a further solution of the present invention: the process of obtaining the hazard coefficient is:

[0029] Based on a single preset route, obtain regional impact representation values ​​of all sub-regions on the route;

[0030] At the same time, based on all the avoidance areas on the route, the avoidance coefficient of the route is obtained;

[0031] By formula: Calculate the hazard coefficient WH, where BR is the avoidance coefficient, N is the total number of all sub-areas on the preset route, QY is the regional impact characterization value, and QY i It is expressed as the regional impact characterization value of the i-th sub-region, where i takes values ​​of 1, 2, 3, …, N.

[0032] As a further solution of the present invention: the process of obtaining the regional impact characterization value is:

[0033] Based on a single preset route, the hazardous waste coefficients of all sub-regions on the route are extracted, and the hazardous waste coefficients of each sub-region are multiplied by the regional route ratio of its corresponding sub-region to obtain the regional impact characterization value;

[0034] Among them, the process of obtaining the regional route ratio is:

[0035] Based on a single sub-region, the route distance of the preset route in the sub-region is extracted to obtain the regional route length, and the ratio of the regional route length to the total route length is calculated to obtain the regional route ratio.

[0036] As a further solution of the present invention: the process of obtaining the avoidance coefficient is:

[0037] Based on a single preset route, the hazardous waste coefficients of all avoidance areas on the route are extracted, and the hazardous waste coefficients of all avoidance areas are averaged to obtain the avoidance mean;

[0038] At the same time, the hazardous waste coefficients of all sub-areas on the route are averaged to obtain the average value of the total area;

[0039] The avoidance coefficient is obtained by calculating the ratio of the avoidance mean to the total area mean.

[0040] As a further solution of the present invention: the process of generating the route evaluation signal is:

[0041] Preset a hazard coefficient threshold, and compare and analyze the hazard coefficient with the hazard coefficient threshold;

[0042] If the hazard coefficient is less than or equal to the hazard coefficient threshold, a route availability signal is generated and the route is marked as an available route;

[0043] If the hazard coefficient is greater than or equal to the hazard coefficient threshold, a route unacceptable signal is generated.

[0044] In a second aspect, the present invention provides an intelligent hazardous waste transportation route planning system based on environmental adaptability, the system comprising:

[0045] Area division module: divide the total area involved in hazardous waste into multiple sub-areas;

[0046] Data collection module: obtain the hazardous waste coefficient of each sub-area;

[0047] Regional assessment module: Based on the hazardous waste coefficient, it assesses the impact of hazardous waste on each sub-region, determines whether the sub-region is an area that needs to be avoided, and generates a regional assessment signal;

[0048] Among them, the area assessment signals include: avoidance-needed signals and no-avoidance-needed signals;

[0049] Route preset module: preset the routes for hazardous waste transportation based on regional assessment signals and obtain several preset routes;

[0050] Data processing module: analyze the preset route and obtain the hazard coefficient of the preset route;

[0051] Route evaluation module: Based on the hazard coefficient, it evaluates the hazard level of the preset route, determines whether the preset route is desirable, and generates a route evaluation signal;

[0052] The route evaluation signals include: a route-advisable signal and a route-unadvisable signal;

[0053] Route sorting module: sorts all possible routes based on route availability signals.

[0054] Beneficial effects of the present invention:

[0055] (1) The present invention uses GIS technology to subdivide the total area involving hazardous waste into multiple sub-areas based on topography, hydrological conditions, and the location of surrounding sensitive targets such as residential areas and water sources; then, an in-depth assessment of the impact of hazardous waste is conducted on each sub-area; by quantifying factors such as the type, quantity, toxicity, and persistence of hazardous waste, combined with its actual impact on the regional environment, a 0-100 impact degree characterization value is given; at the same time, the ratio of the area affected by hazardous waste to the total area of ​​the sub-area is calculated to obtain the impact effect characterization value. The two are multiplied to obtain a hazardous waste coefficient that reflects the comprehensive impact of hazardous waste in the sub-area; finally, based on the preset hazardous waste coefficient threshold, the hazardous waste coefficient of each sub-area is evaluated. If the coefficient is lower than the threshold, it indicates that the area is less affected by hazardous waste and the transportation route does not need to avoid it; if it is higher than the threshold, it indicates that the impact is significant and the transportation route needs to be planned to avoid the area. The present invention provides effective risk assessment and regional avoidance guidance for hazardous waste transportation based on scientific data analysis and accurate assessment models, aiming to reduce environmental risks during transportation and ensure the safety of ecosystems and public health. At the same time, through automated and digital assessment processes, work efficiency is improved and management costs are reduced.

[0056] (2) The present invention uses the regional assessment results and presets multiple hazardous waste transportation routes that avoid high-risk areas based on GIS technology. Subsequently, for each preset route, the sub-regional impact and avoidance area on the route are comprehensively considered to calculate its hazard coefficient. The potential risk of the route is comprehensively assessed by calculating the regional impact characterization value (reflecting the sub-regional hazardous waste impact and route proportion) and the avoidance coefficient (comparing the level of hazardous waste in the avoidance area with that of the entire line). Then, the hazard coefficient of each route is compared with the preset threshold to screen out desirable routes with less hazard, and a corresponding assessment signal is issued. For the routes that pass the assessment, they are further sorted according to the size of the hazard coefficient, and the routes with the lowest hazard are recommended first, providing decision makers with a clear and scientific basis for route selection. The present invention not only improves the scientificity and accuracy of hazardous waste transportation planning, but also effectively reduces the environmental risks in the transportation process through the combination of quantitative assessment and GIS technology, ensuring the safety of the ecosystem and public health. At the same time, the automated and intelligent assessment process also improves work efficiency and reduces management costs, bringing new technological breakthroughs to the field of hazardous waste management. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] Figure 1 It is a flowchart of the present invention;

[0059] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Embodiment 1:

[0062] See also Figure 1 As shown, a method for intelligent hazardous waste transportation route planning based on environmental adaptability according to an embodiment of the present invention comprises the following steps:

[0063] Step 1: Divide the total area involved in hazardous waste into multiple sub-areas;

[0064] In some implementation schemes, based on GIS technology, the total area involved in hazardous waste is divided to obtain multiple sub-areas;

[0065] It should be promptly explained that the basis for dividing the total area involved in hazardous waste and obtaining multiple sub-areas is as follows: the total area involved in hazardous waste is divided according to the natural conditions such as topography and hydrology in the total area involved in hazardous waste, as well as sensitive targets such as surrounding residential areas and water sources;

[0066] Step 2: Obtain the hazardous waste coefficient of each sub-area;

[0067] In some implementation schemes, the influence degree representation value and the influence effect representation value of each sub-region are obtained respectively;

[0068] Then, the impact degree representation value and the impact effect representation value of each sub-area are multiplied to obtain the hazardous waste coefficient;

[0069] First, the process of obtaining the impact degree representation value is as follows:

[0070] Based on a single sub-region, a numerical evaluation of 0-100 is conducted according to the impact of hazardous waste on the sub-region to obtain the impact characterization value;

[0071] It should be explained that the impact characterization value is obtained by numerically evaluating the impact of hazardous wastes on a single sub-region based on the impact of hazardous wastes on that sub-region. The numerical evaluation involves multiple aspects, such as the type, quantity, toxicity, and persistence of hazardous wastes, as well as their interaction with the regional environment (soil, water, and air). When evaluating, the migration and transformation patterns of hazardous wastes in the environment, as well as the potential threats to the ecosystem and human health, also need to be considered.

[0072] It is further explained that the impact level representation value is expressed as: the severity of the potential impact of hazardous waste on the sub-area, based on a detailed analysis and assessment of the impact of hazardous waste in the sub-area, and is a value from 0 to 100. The higher the impact level representation value, the more serious the impact;

[0073] The second specific process of obtaining the impact effect representation value is as follows:

[0074] Based on a single sub-region, extract the area affected by the waste in the sub-region and mark it as the affected area, calculate the area of ​​the affected area, obtain the affected area, and calculate the ratio of the affected area to the total area of ​​the region (the total area of ​​the region is the total area of ​​the sub-region) to obtain the impact effect representation value;

[0075] It should be explained that the affected area refers to: the geographical area within the sub-region where the environmental quality, ecosystem or human health is affected due to the existence, leakage, spread or other means of hazardous wastes. This area includes the direct contact area, such as the land or water directly polluted by the leakage of hazardous wastes; it also includes the indirect impact area, such as the pollution range of the surrounding environment caused by the spread of hazardous wastes through the air;

[0076] It is necessary to further explain that the impact effect representation value is expressed as: the actual impact range or degree of the hazardous waste on the affected objects in the sub-region. The larger the value of the impact effect representation value, the wider the impact range of the hazardous waste in the sub-region, or the deeper the impact degree;

[0077] Step 3: Based on the hazardous waste coefficient, evaluate the impact of hazardous waste on each sub-area, determine whether the sub-area is an area that needs to be avoided, and generate a regional evaluation signal;

[0078] Among them, the area assessment signals include: avoidance-needed signals and no-avoidance-needed signals;

[0079] In some implementation schemes, a hazardous waste coefficient threshold is preset, and the hazardous waste coefficient is compared and analyzed with the hazardous waste coefficient threshold;

[0080] If the hazardous waste coefficient is less than or equal to the hazardous waste coefficient threshold, it means that the hazardous waste has little impact on the sub-area, and the transportation route of the hazardous waste does not need to avoid the sub-area, that is, a no-avoidance signal is generated;

[0081] If the hazardous waste coefficient is greater than the hazardous waste coefficient threshold, it means that the hazardous waste has a greater impact on the sub-area, and the transportation route of the hazardous waste needs to avoid the sub-area, that is, a signal for avoiding is generated;

[0082] The technical solution of the embodiment of the present invention is mainly as follows: using GIS technology to subdivide the total area involving hazardous waste into multiple sub-areas, and divide them according to the topography, hydrological conditions and the location of surrounding sensitive targets such as residential areas and water sources; then, conduct an in-depth assessment of the impact of hazardous waste on each sub-area; by quantifying factors such as the type, quantity, toxicity and persistence of hazardous waste, combined with its actual impact on the regional environment, a 0-100 impact degree characterization value is given; at the same time, the ratio of the area affected by hazardous waste to the total area of ​​the sub-area is calculated to obtain the impact effect characterization value. The two are multiplied to obtain a hazardous waste coefficient that reflects the comprehensive impact of hazardous waste in the sub-area; finally, based on the preset hazardous waste coefficient threshold, the hazardous waste coefficient of each sub-area is evaluated. If the coefficient is lower than the threshold, it indicates that the area is less affected by hazardous waste and the transportation route does not need to avoid it; if it is higher than the threshold, it indicates that the impact is significant and the transportation route needs to be planned to avoid the area; the embodiment of the present invention is based on scientific data analysis and accurate evaluation models to provide effective risk assessment and regional avoidance guidance for hazardous waste transportation, aiming to reduce environmental risks during transportation and ensure the safety of ecosystems and public health; at the same time, through automated and digital evaluation processes, work efficiency is improved and management costs are reduced.

[0083] Embodiment 2:

[0084] Based on Example 1, please refer to Figure 1 As shown, the method for intelligent hazardous waste transportation route planning based on environmental adaptability according to an embodiment of the present invention further includes the following steps:

[0085] Step 4: Based on the regional assessment signal, preset the hazardous waste transportation route to obtain several preset routes;

[0086] In some implementation schemes, based on GIS technology, the routes for hazardous waste transportation are preset to obtain several preset routes;

[0087] It should be explained that the preset route refers to the path that hazardous waste takes from the departure point to the destination. The selection of the preset route should try to avoid the area to be avoided (the area to be avoided is the sub-area corresponding to the signal to be avoided);

[0088] Step 5: Analyze the preset route and obtain the hazard coefficient of the preset route;

[0089] In some embodiments, based on a single preset route, regional impact representation values ​​of all sub-regions on the route are obtained;

[0090] At the same time, based on all the avoidance areas on the route, the avoidance coefficient of the route is obtained;

[0091] It should be explained that if there is no avoidance area on the route, the avoidance coefficient value is 1;

[0092] By formula: Calculate the hazard coefficient WH, where BR is the avoidance coefficient, N is the total number of all sub-areas on the preset route, QY is the regional impact characterization value, and QY i It is represented as the regional impact characterization value of the i-th sub-region, where i takes values ​​of 1, 2, 3, ..., N;

[0093] It should be explained that the i-th sub-area is represented by the i-th sub-area that the preset route passes through from the departure point;

[0094] First, specifically, the process of obtaining the regional impact characterization value is as follows:

[0095] Based on a single preset route, the hazardous waste coefficients of all sub-regions on the route are extracted, and the hazardous waste coefficients of each sub-region are multiplied by the regional route ratio of its corresponding sub-region to obtain the regional impact characterization value;

[0096] Furthermore, the process of obtaining the regional route ratio is as follows:

[0097] Based on a single sub-region, extract the route distance of the preset route in the sub-region to obtain the regional route length, calculate the ratio of the regional route length to the total route length (the total route length is the total length of the preset route), and obtain the regional route ratio;

[0098] Second, specifically, the process of obtaining the avoidance coefficient is as follows:

[0099] Based on a single preset route, the hazardous waste coefficients of all avoidance areas on the route are extracted, and the hazardous waste coefficients of all avoidance areas are averaged to obtain the avoidance mean;

[0100] At the same time, the hazardous waste coefficients of all sub-areas on the route are averaged to obtain the average value of the total area;

[0101] The avoidance coefficient is obtained by calculating the ratio of the avoidance mean to the total area mean;

[0102] Step 6: Based on the hazard coefficient, evaluate the hazard level of the preset route, determine whether the preset route is desirable, and generate a route evaluation signal;

[0103] The route evaluation signals include: a route-advisable signal and a route-unadvisable signal;

[0104] In some implementation schemes, a hazard coefficient threshold is preset, and the hazard coefficient is compared and analyzed with the hazard coefficient threshold;

[0105] If the hazard coefficient is less than or equal to the hazard coefficient threshold, it means that the overall hazard of the preset route is small, that is, a route acceptable signal is generated, and the route is marked as an acceptable route;

[0106] If the hazard coefficient is greater than or equal to the hazard coefficient threshold, it means that the overall hazard of the preset route is relatively large, that is, a signal that the route is not advisable is generated;

[0107] Step 7: Sort all possible routes based on the route availability signal;

[0108] In some implementation schemes, based on the route availability signal, the hazard coefficients of all the available routes are extracted, and all the available routes are sorted according to the numerical values ​​of the hazard coefficients of the available routes;

[0109] It should be explained that the smaller the hazard coefficient of the desirable route, the higher its ranking, indicating that the desirable route has a higher priority;

[0110] The technical solution of the embodiment of the present invention is mainly as follows: first, using the regional assessment results, multiple hazardous waste transportation routes that avoid high-risk areas are preset based on GIS technology; then, for each preset route, the sub-regional impact and the avoidance area on the route are comprehensively considered to calculate its hazard coefficient; through the calculation of the regional impact characterization value (reflecting the sub-regional hazardous waste impact and route proportion) and the avoidance coefficient (comparing the avoidance area with the hazardous waste level of the entire line), the potential risk of the route is comprehensively evaluated; then, the hazard coefficient of each route is compared with the preset threshold, and the desirable routes with less hazard are screened out, and corresponding evaluation signals are issued; for the routes that pass the evaluation, they are further sorted according to the size of the hazard coefficient, and the routes with the lowest hazard are recommended first, providing decision makers with a clear and scientific basis for route selection; the embodiment of the present invention not only improves the scientificity and accuracy of hazardous waste transportation planning, but also effectively reduces the environmental risks in the transportation process through the combination of quantitative evaluation and GIS technology, and ensures the safety of the ecosystem and public health. At the same time, the automated and intelligent evaluation process also improves work efficiency and reduces management costs, bringing new technological breakthroughs to the field of hazardous waste management.

[0111] Embodiment 3:

[0112] Based on Example 1 and Example 2, please refer to Figure 2 As shown, an intelligent hazardous waste transportation route planning system based on environmental adaptability according to an embodiment of the present invention includes:

[0113] Area division module: divide the total area involved in hazardous waste into multiple sub-areas;

[0114] Data collection module: obtain the hazardous waste coefficient of each sub-area;

[0115] Regional assessment module: Based on the hazardous waste coefficient, it assesses the impact of hazardous waste on each sub-region, determines whether the sub-region is an area that needs to be avoided, and generates a regional assessment signal;

[0116] Among them, the area assessment signals include: avoidance-needed signals and no-avoidance-needed signals;

[0117] Route preset module: preset the routes for hazardous waste transportation based on regional assessment signals and obtain several preset routes;

[0118] Data processing module: analyze the preset route and obtain the hazard coefficient of the preset route;

[0119] Route evaluation module: Based on the hazard coefficient, it evaluates the hazard level of the preset route, determines whether the preset route is desirable, and generates a route evaluation signal;

[0120] The route evaluation signals include: a route-advisable signal and a route-unadvisable signal;

[0121] Route sorting module: sorts all possible routes based on route availability signals.

[0122] The size of the above threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the base number set by technical personnel in this field for each group of sample data; for example: in the actual process of obtaining, there are many groups of impact degree characterization values ​​and impact effect characterization values. Many groups of impact degree characterization values ​​and impact effect characterization values ​​are processed to obtain the corresponding groups of hazardous waste coefficients. The staff evaluates the impact of the waste on the sub-area based on so many groups of hazardous waste coefficients, thereby obtaining a corresponding relationship between a hazardous waste coefficient and the impact of the waste on the sub-area, and then derives and divides the threshold of the hazardous waste coefficient according to the impact of the waste on the sub-area, thereby obtaining a hazardous waste coefficient threshold, and compares the obtained hazardous waste coefficient with the hazardous waste coefficient threshold, that is, completes the identification of the impact of the waste on the sub-area corresponding to the hazardous waste coefficient.

[0123] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for intelligent hazardous waste transportation route planning based on environmental adaptability, characterized in that: The following steps are involved: Step 1: Divide the total area involved in hazardous waste into multiple sub-areas; Step 2: Obtain the hazardous waste coefficient of each sub-area; Step 3: Based on the hazardous waste coefficient, evaluate the impact of hazardous waste on each sub-area, determine whether the sub-area is an area that needs to be avoided, and generate a regional evaluation signal; Among them, the area assessment signals include: avoidance-needed signals and no-avoidance-needed signals; Step 4: Based on the regional assessment signal, preset the hazardous waste transportation route to obtain several preset routes; Step 5: Analyze the preset route and obtain the hazard coefficient of the preset route; Step 6: Based on the hazard coefficient, evaluate the hazard level of the preset route, determine whether the preset route is desirable, and generate a route evaluation signal; The route evaluation signals include: a route-advisable signal and a route-unadvisable signal; Step 7: Sort all possible routes based on the route availability signal.

2. According to claim 1, a method for intelligent hazardous waste transportation route planning based on environmental adaptability is characterized in that: The process of obtaining the hazardous waste coefficient is as follows: Obtaining the impact degree representation value and the impact effect representation value of each sub-region respectively; Then, the impact degree representation value and the impact effect representation value of each sub-area are multiplied to obtain the hazardous waste coefficient.

3. According to claim 2, a method for intelligent hazardous waste transportation route planning based on environmental adaptability is characterized in that: The process of obtaining the impact degree representation value is as follows: Based on a single sub-area, a numerical assessment of 0-100 is performed according to the impact of hazardous waste on the sub-area to obtain an impact characterization value.

4. According to claim 2, a method for intelligent hazardous waste transportation route planning based on environmental adaptability is characterized in that: The process of obtaining the impact effect characterization value is as follows: Based on a single sub-region, the area affected by the waste in the sub-region is extracted and marked as the affected area. The area of ​​the affected area is calculated to obtain the affected area. The ratio of the affected area to the total area of ​​the region is calculated to obtain the impact effect characterization value.

5. According to claim 1, a method for intelligent hazardous waste transportation route planning based on environmental adaptability is characterized in that: The process of generating the regional assessment signal is: Preset the hazardous waste coefficient threshold, and compare and analyze the hazardous waste coefficient with the hazardous waste coefficient threshold; If the hazardous waste coefficient is less than or equal to the hazardous waste coefficient threshold, a no-avoidance signal is generated; If the hazardous waste coefficient is greater than the hazardous waste coefficient threshold, an avoidance signal is generated.

6. According to claim 1, a method for intelligent hazardous waste transportation route planning based on environmental adaptability is characterized in that: The process of obtaining the hazard coefficient is as follows: Based on a single preset route, obtain regional impact representation values ​​of all sub-regions on the route; At the same time, based on all the avoidance areas on the route, the avoidance coefficient of the route is obtained; By formula: Calculate the hazard coefficient WH, where BR is the avoidance coefficient, N is the total number of all sub-areas on the preset route, QY is the regional impact characterization value, and QY i It is expressed as the regional impact characterization value of the i-th sub-region, where i takes values ​​of 1, 2, 3, …, N.

7. The method for planning hazardous waste transportation routes based on environmental adaptability according to claim 6 is characterized in that: The process of obtaining the regional impact characterization value is as follows: Based on a single preset route, the hazardous waste coefficients of all sub-regions on the route are extracted, and the hazardous waste coefficients of each sub-region are multiplied by the regional route ratio of its corresponding sub-region to obtain the regional impact characterization value; Among them, the process of obtaining the regional route ratio is: Based on a single sub-region, the route distance of the preset route in the sub-region is extracted to obtain the regional route length, and the ratio of the regional route length to the total route length is calculated to obtain the regional route ratio.

8. The method for planning hazardous waste transportation routes based on environmental adaptability according to claim 6 is characterized in that: The process of obtaining the avoidance coefficient is as follows: Based on a single preset route, the hazardous waste coefficients of all avoidance areas on the route are extracted, and the hazardous waste coefficients of all avoidance areas are averaged to obtain the avoidance mean; At the same time, the hazardous waste coefficients of all sub-areas on the route are averaged to obtain the average value of the total area; The avoidance coefficient is obtained by calculating the ratio of the avoidance mean to the total area mean.

9. The method for planning hazardous waste transportation routes based on environmental adaptability according to claim 1 is characterized in that: The process of generating a route evaluation signal is: Preset a hazard coefficient threshold, and compare and analyze the hazard coefficient with the hazard coefficient threshold; If the hazard coefficient is less than or equal to the hazard coefficient threshold, a route availability signal is generated and the route is marked as an available route; If the hazard coefficient is greater than or equal to the hazard coefficient threshold, a route unacceptable signal is generated.

10. An intelligent hazardous waste transportation route planning system based on environmental adaptability, characterized in that: The system is used to execute the method described in any one of claims 1 to 9, and the system comprises: Area division module: divide the total area involved in hazardous waste into multiple sub-areas; Data collection module: obtain the hazardous waste coefficient of each sub-area; Regional assessment module: Based on the hazardous waste coefficient, it assesses the impact of hazardous waste on each sub-region, determines whether the sub-region is an area that needs to be avoided, and generates a regional assessment signal; Among them, the area assessment signals include: avoidance-needed signals and no-avoidance-needed signals; Route preset module: preset the routes for hazardous waste transportation based on regional assessment signals and obtain several preset routes; Data processing module: analyze the preset route and obtain the hazard coefficient of the preset route; Route evaluation module: Based on the hazard coefficient, it evaluates the hazard level of the preset route, determines whether the preset route is desirable, and generates a route evaluation signal; The route evaluation signal includes: a route feasible signal and a route unfeasible signal; the route sorting module: sorts all feasible routes based on the route feasible signal.

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