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

Abstract

The present invention relates to the technical field of route planning, and specifically discloses an intelligent hazardous waste transportation route planning method and system based on environmental adaptability, including: Step 1: Divide the total area involved in hazardous waste to obtain multiple sub-areas; Step 2: Obtain the hazardous waste coefficients of each sub-area; Step 3: Evaluate the impact of hazardous waste on each sub-area, determine whether the sub-area is an area to be avoided, and generate an area evaluation signal; Step 4: Preset the routes for hazardous waste transportation to obtain several preset routes; Step 5: Analyze the preset routes to obtain the hazard coefficients of the preset routes; Step 6: Based on the hazard coefficients, evaluate the hazard degree of the preset routes, determine whether the preset routes are advisable, and generate a route evaluation signal; Step 7: Based on the route advisable signal, sort all the advisable routes; The present invention effectively reduces the environmental risks during transportation and ensures the safety of the ecosystem and public health.

Description

Technical Field

[0001] The present invention relates to the technical field of power loss, and particularly to an environment-adaptive intelligent hazardous waste transportation route planning method and system. Background Art

[0002] Hazardous waste, abbreviated as HW, refers to waste with potential hazards, which is solid waste listed in the national hazardous waste list or identified as having hazardous characteristics according to the national hazardous waste identification standards and identification methods, and its characteristics are harmful to human health or the environment. Hazardous waste mainly includes solid and liquid waste with one or more hazardous characteristics such as corrosivity, toxicity, flammability, reactivity, or infectivity.

[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 place of treatment or disposal. Due to the hazardous properties of hazardous waste itself, relevant control and risk assessment must be carried out during transportation to avoid harm to the environment or human body during transportation.

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

[0005] The purpose of the present invention is to provide an environment-adaptive intelligent hazardous waste transportation route planning method and system to solve the above technical problems in the 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 an environment-adaptive intelligent hazardous waste transportation route planning method, including the following steps:

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

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

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

[0011] Among them, the area evaluation signal includes: a signal to be avoided and a signal not to be avoided;

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

[0013] Step Five: Analyze the preset route to obtain the hazard coefficient of the preset route;

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

[0015] Among them, the route evaluation signal includes: a route advisable signal and a route not advisable signal;

[0016] Step Seven: Based on the route advisable signal, sort all the advisable routes.

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

[0018] Respectively obtain the influence degree characterization value and the influence effect characterization value of each sub-region;

[0019] Then, respectively perform a product calculation on the influence degree characterization value and the influence effect characterization value of each sub-region to obtain the hazardous waste coefficient.

[0020] As a further solution of the present invention: The process of obtaining the influence degree characterization value is as follows:

[0021] Based on a single sub-region, conduct a numerical evaluation from 0 to 100 according to the influence of the hazardous waste on this sub-region to obtain the influence characterization value.

[0022] As a further solution of the present invention: The process of obtaining the influence effect characterization value is as follows:

[0023] Based on a single sub-region, extract the area within this sub-region affected by the waste and mark it as the affected area, calculate the area of this affected area to obtain the affected area, and perform a ratio calculation on the affected area and the total area of the region to obtain the influence effect characterization value.

[0024] As a further solution of the present invention: The process of generating the region evaluation signal is as follows:

[0025] Preset a hazardous waste coefficient threshold, and conduct a comparative analysis on the hazardous waste coefficient and the hazardous waste coefficient threshold;

[0026] If the hazardous waste coefficient is less than or equal to the hazardous waste coefficient threshold, generate a signal of no need to avoid;

[0027] If the hazardous waste coefficient is greater than the hazardous waste coefficient threshold, generate a signal of need to avoid.

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

[0029] Based on a single preset route, obtain the region influence characterization values of all sub-regions on this 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 involving hazardous waste to obtain multiple sub-areas;

[0046] Data acquisition module: Obtain the hazardous waste coefficients of each sub-area;

[0047] Area assessment module: Based on the hazardous waste coefficients, evaluate the impact of hazardous waste on each sub-area, determine whether the sub-area is an area to be avoided, and generate an area assessment signal;

[0048] Among them, the area assessment signal includes: a signal to be avoided and a signal not to be avoided;

[0049] Route preset module: Based on the area assessment signal, preset the routes for hazardous waste transportation to obtain several preset routes;

[0050] Data processing module: Analyze the preset routes to obtain the hazard coefficients of the preset routes;

[0051] Route assessment module: Based on the hazard coefficients, evaluate the hazard degree of the preset routes, determine whether the preset routes are acceptable, and generate a route assessment signal;

[0052] Among them, the route assessment signal includes: a signal that the route is acceptable and a signal that the route is not acceptable;

[0053] Route sorting module: Based on the signal that the route is acceptable, sort all acceptable routes.

[0054] Advantages of the present invention:

[0055] (1) The present invention uses GIS technology to subdivide the total area involving hazardous waste into multiple sub-areas, which are divided according to the landform, hydrological conditions and the locations 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, give a characterization value of the impact degree from 0 to 100; at the same time, calculate the ratio of the area affected by hazardous waste to the total area of the sub-area to obtain the characterization value of the impact effect. Multiply the two to obtain the hazardous waste coefficient reflecting the comprehensive impact of hazardous waste in the sub-area; finally, based on the preset threshold of the hazardous waste coefficient, evaluate the hazardous waste coefficients of each sub-area. 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 be avoided; if it is higher than the threshold, it indicates that the impact is significant and the transportation route needs to be planned to avoid this 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 the ecosystem and public health; at the same time, through automated and digital assessment processes, the work efficiency is improved and the management cost is reduced;

[0056] (2) The present invention utilizes the regional assessment results to preset multiple hazardous waste transportation routes that avoid high-risk areas based on GIS technology; subsequently, for each preset route, the influence of sub-regions on the route and the situation of avoidance areas are comprehensively considered to calculate its hazard coefficient; it is obtained through the operation of the regional influence characterization value (reflecting the influence of hazardous waste in the sub-region and the proportion of the route) and the avoidance coefficient (comparing the hazardous waste levels in the avoidance area and the whole line), comprehensively evaluating the potential risks of the route; then, the hazard coefficients of each route are compared with the preset threshold values to screen out the acceptable routes with less harm and send out corresponding evaluation signals; for the routes that pass the evaluation, they are further sorted according to the magnitude of the hazard coefficient, and the route with the lowest hazard is preferentially recommended, providing a clear and scientific basis for route selection for decision-makers; the present invention not only improves the scientificity and accuracy of hazardous waste transportation planning, but also effectively reduces the environmental risks during transportation through the combination of quantitative evaluation and GIS technology, ensuring 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. Brief Description of the Drawings

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

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

[0059] Figure 2 is the system block diagram of the present invention. Detailed Embodiments

[0060] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0061] Embodiment 1:

[0062] Please refer to 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 includes the following steps:

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

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

[0065] It should be noted in a timely manner that the basis for dividing the total area involving hazardous waste into multiple sub-areas is as follows: The total area involving hazardous waste is divided according to the natural conditions such as landform and hydrology within the total area involving hazardous waste, as well as sensitive targets such as surrounding residential areas and water sources.

[0066] Step 2: Obtain the hazardous waste coefficients for each sub-area.

[0067] In some embodiments, the impact degree characterization value and the impact effect characterization value for each sub-area are respectively obtained.

[0068] Then, the impact degree characterization value and the impact effect characterization value for each sub-area are respectively multiplied to obtain the hazardous waste coefficient.

[0069] Specifically, the process for obtaining the impact degree characterization value is as follows:

[0070] Based on a single sub-area, a numerical evaluation from 0 to 100 is carried out according to the impact of the hazardous waste on this sub-area to obtain the impact characterization value.

[0071] It should be explained that based on a single sub-area, the basis for carrying out a numerical evaluation according to the impact of the hazardous waste on this sub-area to obtain the impact characterization value is: a numerical evaluation is carried out based on the actual impact of the hazardous waste on this sub-area within a single sub-area; among them, the evaluation involves multiple aspects, such as the type, quantity, toxicity, persistence of the hazardous waste, and their interaction with the regional environment (soil, water body, air). When evaluating, the migration and transformation law of the hazardous waste in the environment and the potential threat to the ecosystem and human health also need to be considered.

[0072] Further explanation is that the impact degree characterization value represents: the severity of the potential impact of the hazardous waste on this sub-area, which is obtained based on a detailed analysis and evaluation of the impact of the hazardous waste within this sub-area, and is a numerical value from 0 to 100. The higher the numerical value of the impact degree characterization value, the more serious the impact.

[0073] Specifically, the process for obtaining the impact effect characterization value is as follows:

[0074] Based on a single sub-area, the area within this sub-area affected by the waste is marked as the affected area, the area of the affected area is calculated to obtain the affected area, and the affected area is divided by the total area of the region (the total area of the region is the total area of this sub-area) to obtain the impact effect characterization value.

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

[0076] It should be further noted that the impact effect characterization value is expressed as: the actual impact range or degree of the hazardous waste on the affected entity within the sub-region. The larger the value of the impact effect characterization value, the wider the impact range or the deeper the impact degree of the hazardous waste within the sub-region.

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

[0078] Among them, the regional evaluation signal includes: a signal to be avoided and a signal not to be avoided.

[0079] In some embodiments, a preset hazardous waste coefficient threshold is set, 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 indicates that the impact of the hazardous waste on the sub-region is small, and the transportation route of the hazardous waste does not need to avoid the sub-region, that is, a signal not to be avoided is generated.

[0081] If the hazardous waste coefficient is greater than the hazardous waste coefficient threshold, it indicates that the impact of the hazardous waste on the sub-region is large, and the transportation route of the hazardous waste needs to avoid the sub-region, that is, a signal to be avoided 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] Through the formula: Calculate the hazard coefficient WH, where BR is the avoidance coefficient, N is the total number of all sub-regions on this preset route, QY is the regional impact characterization value, and QY i Represents the regional impact characterization value of the i-th sub-region, and i takes values of 1, 2, 3,..., N;

[0093] It should be explained that the i-th sub-region is the i-th sub-region passed by this preset route starting from the departure place;

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

[0095] Based on a single preset route, extract the hazardous waste coefficients of all sub-regions on this route, and perform a product calculation on the hazardous waste coefficient of each sub-region and 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 this sub-region to obtain the regional route length, and perform a ratio calculation on the regional route length and the total route length (the total route length is the total length of this preset route) to 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, extract the hazardous waste coefficients of all avoidance regions on this route, and perform an average value calculation on the hazardous waste coefficients of all avoidance regions to obtain the avoidance average value;

[0100] At the same time, perform an average value calculation on the hazardous waste coefficients of all sub-regions on this route to obtain the total region average value;

[0101] Perform a ratio calculation on the avoidance average value and the total region average value to obtain the avoidance coefficient;

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

[0103] Among them, the route evaluation signal includes: a route advisable signal and a route not advisable signal;

[0104] In some implementation cases, preset a hazard coefficient threshold, and perform a comparative analysis on the hazard coefficient and the hazard coefficient threshold;

[0105] If the hazard coefficient is less than or equal to the hazard coefficient threshold, it indicates that the overall hazard of this preset route is small, that is, generate a route advisable signal and mark this route as an advisable route;

[0106] If the hazard coefficient is greater than or equal to the hazard coefficient threshold, it indicates that the overall hazard of this preset route is relatively large, that is, a route non - advisable signal is generated.

[0107] Step Seven: Based on the route advisable signal, sort all the advisable routes.

[0108] In some embodiments, based on the route advisable signal, extract the hazard coefficients of all the advisable routes, and sort all the advisable routes according to the numerical values of the hazard coefficients of each advisable route.

[0109] It should be explained that for an advisable route with a smaller hazard coefficient, its ranking is higher, indicating that the priority of this advisable route is higher.

[0110] The technical solution of the embodiment of the present invention is mainly as follows: First, using the regional evaluation results, based on GIS technology, preset multiple hazardous waste transportation routes that avoid high - risk areas; Subsequently, for each preset route, comprehensively consider the influence of sub - regions on the route and the situation of avoidance areas, and calculate its hazard coefficient; Obtained through the operation of the regional influence characterization value (reflecting the influence of hazardous waste in the sub - region and the route proportion) and the avoidance coefficient (comparing the hazardous waste levels in the avoidance area and the whole line), comprehensively evaluate the potential risks of the route; Then, compare the hazard coefficients of each route with the preset threshold, screen out the advisable routes with less hazards, and send out corresponding evaluation signals; For the routes that pass the evaluation, further sort them according to the size of the hazard coefficient, and give priority to recommending the route with the lowest hazard, providing a clear and scientific basis for route selection for decision - makers; 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 during transportation through the combination of quantitative evaluation and GIS technology, ensures the safety of the ecological system 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 Embodiment 1 and Embodiment 2, please refer to Figure 2 As shown, an intelligent hazardous waste transportation route planning system based on environmental adaptability described in the embodiment of the present invention includes: This system includes:

[0113] Regional division module: Divide the total area involved in hazardous waste to obtain multiple sub - regions.

[0114] Data acquisition module: Obtain the hazardous waste coefficients of each sub - region.

[0115] Regional evaluation module: Based on the hazardous waste coefficients, evaluate the influence of hazardous waste on each sub - region, determine whether the sub - region is an area to be avoided, and generate a regional evaluation signal.

[0116] Among them, the area evaluation signal includes: a signal requiring avoidance and a signal not requiring avoidance;

[0117] Route presetting module: Based on the area evaluation signal, preset the route for hazardous waste transportation to obtain several preset routes;

[0118] Data processing module: Analyze the preset routes to obtain the hazard coefficients of the preset routes;

[0119] Route evaluation module: Based on the hazard coefficients, evaluate the hazard degree of the preset routes, determine whether the preset routes are acceptable, and generate route evaluation signals;

[0120] Among them, the route evaluation signal includes: a route acceptable signal and a route unacceptable signal;

[0121] Route sorting module: Based on the route acceptable signal, sort all acceptable routes.

[0122] The setting of the magnitude of the above threshold is for the convenience of comparison. Regarding the magnitude of the threshold, it depends on the amount of sample data and the base quantity set by those skilled in the art for each group of sample data; for example: in the actual obtaining process, there are many groups of influence degree characterization values and influence effect characterization values. After processing many groups of influence degree characterization values and influence effect characterization values, the corresponding group of hazardous waste coefficients are obtained. The staff evaluate the influence of the waste on the sub-region based on these many groups of hazardous waste coefficients, so as to obtain a corresponding relationship between the hazardous waste coefficient and the influence of the waste on the sub-region, and then deduce and divide the threshold of the hazardous waste coefficient according to the influence of the waste on the sub-region, so as to obtain the hazardous waste coefficient threshold. By comparing the obtained hazardous waste coefficient with the hazardous waste coefficient threshold, the identification of the influence of the waste corresponding to the hazardous waste coefficient on the sub-region is completed.

[0123] The above has described in detail an embodiment of the present invention, but the content described is only a preferred embodiment of the present invention and cannot be considered as used to limit the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the present invention application shall still fall within the scope covered by the patent of the present invention.

Claims

1. An intelligent hazardous waste transportation route planning method based on environmental adaptability, characterized in that, It includes the following steps: Step 1: Divide the total area involving hazardous waste to obtain multiple sub-areas; Step 2: Obtain the hazardous waste coefficients of each sub-area; The process of obtaining the hazardous waste coefficients is as follows: Respectively obtain the impact degree characterization value and the impact effect characterization value of each sub-area; Then respectively perform a product calculation on the impact degree characterization value and the impact effect characterization value of each sub-area to obtain the hazardous waste coefficient; The process of obtaining the impact degree characterization value is as follows: Based on a single sub-area, conduct a numerical evaluation from 0 to 100 according to the impact of the hazardous waste on this sub-area to obtain the impact characterization value; The process of obtaining the impact effect characterization value is as follows: Based on a single sub-area, extract the area affected by the waste in this sub-area and mark it as the affected area, calculate the area of this affected area to obtain the affected area, and perform a ratio calculation on the affected area and the total area of the region to obtain the impact effect characterization value; Step 3: Based on the hazardous waste coefficients, evaluate the impact of the hazardous waste on each sub-area, determine whether the sub-area is an area to be avoided, and generate a regional evaluation signal; Among them, the regional evaluation signal includes: a signal to be avoided and a signal not to be avoided; Step 4: Based on the regional evaluation signal, preset the routes for transporting hazardous waste to obtain several preset routes; Step 5: Analyze the preset routes to obtain the hazard coefficients of the preset routes; The process of obtaining the hazard coefficients is as follows: Based on a single preset route, obtain the regional impact characterization values of all sub-areas on this route; At the same time, based on all the avoidance areas on this route, obtain the avoidance coefficient of this route; Through the formula: , calculate the hazard coefficient WH, where BR is the avoidance coefficient, N is the total number of all sub-regions on this preset line, QY is the regional impact characterization value, and QY i represents the regional impact characterization value of the i-th sub-region, and the value of i is 1, 2, 3,..., N; The process of obtaining the regional impact characterization value is as follows: Based on a single preset route, extract the hazardous waste coefficients of all sub-areas on this route, and perform a product calculation on the hazardous waste coefficient of each sub-area and the regional route ratio of its corresponding sub-area to obtain the regional impact characterization value; Among them, the process of obtaining the regional route ratio is as follows: Based on a single sub-area, extract the route distance of the preset route in this sub-area to obtain the regional route length, and perform a ratio calculation on the regional route length and the total route length to obtain the regional route ratio; The process of obtaining the avoidance coefficient is as follows: Based on a single preset route, extract the hazardous waste coefficients of all avoidance areas on this route, and perform an average calculation on the hazardous waste coefficients of all avoidance areas to obtain the avoidance average value; At the same time, perform an average calculation on the hazardous waste coefficients of all sub-areas on this route to obtain the total area average value; Perform a ratio calculation on the avoidance average value and the total area average value to obtain the avoidance coefficient; Step 6: Based on the hazard coefficients, evaluate the hazard degree of the preset routes, determine whether the preset routes are advisable, and generate a route evaluation signal; Among them, the route evaluation signal includes: a signal that the route is advisable and a signal that the route is not advisable; Step 7: Based on the signal that the route is advisable, sort all the advisable routes.

2. The method for planning an intelligent hazardous waste transportation route based on environmental adaptability according to claim 1, wherein The process of generating the regional evaluation signal is as follows: Preset a hazardous waste coefficient threshold, and conduct a comparative analysis on the hazardous waste coefficient and the hazardous waste coefficient threshold; If the hazardous waste coefficient is less than or equal to the hazardous waste coefficient threshold, then generate a signal not to be avoided; If the hazardous waste coefficient is greater than the hazardous waste coefficient threshold, then generate a signal to be avoided.

3. A method for planning an intelligent hazardous waste transportation route based on environmental adaptability according to claim 1, characterized in that, The process of generating the route evaluation signal is as follows: Preset a hazard coefficient threshold, and conduct a comparative analysis on the hazard coefficient and 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 the hazard coefficient threshold, a route unacceptable signal is generated.

4. 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 3, 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 signals include: a route-advisable signal and a route-unadvisable signal; Route sorting module: sorts all possible routes based on route availability signals.

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