Sludge treatment and disposal scheme generation system, method, apparatus, medium, and product

Abstract

The present application relates to the technical field of sludge treatment, and discloses a sludge treatment and disposal scheme generation system, method, equipment, medium and product, a data analysis module of the sludge treatment and disposal scheme generation system, which is used for extracting path discrimination parameters and assimilation discrimination parameters; a treatment path discrimination module, which is used for matching the path discrimination parameters with corresponding parameters in multiple preset sludge treatment and disposal paths respectively, and obtaining multiple first target sludge treatment and disposal paths; an assimilation path discrimination module, which is used for comparing the assimilation discrimination parameters with corresponding assimilation capacities in the multiple first target sludge treatment and disposal paths respectively, and selecting a second target sludge treatment and disposal path from the multiple first target sludge treatment and disposal paths; and a treatment and disposal scheme generation module, which is used for generating a sludge treatment and disposal scheme according to at least one second target sludge treatment and disposal path, and the present application improves the generation efficiency of the sludge treatment and disposal scheme by automatically generating the sludge treatment and disposal scheme.

Description

Technical Field

[0001] This invention relates to the field of sludge treatment technology, specifically to sludge treatment and disposal solution generation systems, methods, equipment, media, and products. Background Technology

[0002] With the rapid development of industry, the amount of sludge produced is increasing day by day. Sludge treatment and disposal is a key link in the field of environmental protection. Improper treatment methods will cause a series of environmental problems such as soil pollution, water pollution, and air pollution, and will also waste resources.

[0003] In related technologies, the formulation of sludge treatment and disposal plans mainly relies on human experience and traditional analytical methods. Human experience is limited by individual knowledge and practical experience, making it difficult to comprehensively consider various complex factors, such as the characteristics of different sludge types, sludge volume variations, limitations of disposal resources, and budget subsidies. Traditional analytical methods require significant manpower, resources, and time to analyze sludge treatment and disposal plans, and the results are often delayed, failing to respond promptly to dynamic changes in actual treatment. Therefore, in related technologies, the methods for formulating sludge treatment and disposal plans are significantly influenced by subjective factors, resulting in low efficiency and inaccurate plans that do not adequately reflect reality. Summary of the Invention

[0004] In view of this, the present invention provides a sludge treatment and disposal solution generation system, method, equipment, medium and product to solve the problems of inaccuracy and incompatibility with actual conditions caused by the formulation methods of sludge treatment and disposal solutions in related technologies.

[0005] In a first aspect, the present invention provides a sludge treatment and disposal scheme generation system, comprising: a data analysis module, a treatment path discrimination module, a disposal path discrimination module, and a treatment and disposal scheme generation module; the data analysis module is used to analyze sludge treatment information input by the user, determine path discrimination parameters and disposal discrimination parameters, and send the path discrimination parameters to the treatment path discrimination module and the disposal discrimination parameters to the disposal path discrimination module; the treatment path discrimination module is used to match the path discrimination parameters with corresponding parameters in multiple preset sludge treatment and disposal paths to obtain multiple successfully matched first target sludge treatment and disposal paths; the disposal path discrimination module is used to compare the disposal discrimination parameters with the corresponding disposal capacity in the multiple first target sludge treatment and disposal paths, and select at least one second target sludge treatment and disposal path from the multiple first target sludge treatment and disposal paths according to the comparison results; the treatment and disposal scheme generation module is used to generate a sludge treatment and disposal scheme based on at least one second target sludge treatment and disposal path.

[0006] The sludge treatment and disposal scheme generation system of the present invention includes a data analysis module, a treatment path discrimination module, a disposal path discrimination module, and a treatment and disposal scheme generation module. The data analysis module analyzes the sludge treatment information input by the user, determines path discrimination parameters and disposal discrimination parameters, and sends the path discrimination parameters to the treatment path discrimination module and the disposal discrimination parameters to the disposal path discrimination module. By understanding and analyzing the sludge treatment information input by the user, the present invention extracts key path discrimination parameters and disposal parameters, providing accurate and reliable basic data for subsequent path discrimination and disposal capacity comparison. The treatment path discrimination module of the present invention matches the path discrimination parameters with corresponding parameters in multiple preset sludge treatment and disposal paths to obtain multiple successfully matched first target sludge treatment and disposal paths. Based on the path discrimination parameters, the first target sludge treatment and disposal paths that match the path discrimination parameters can be quickly screened, initially narrowing the scope and avoiding invalid analysis of paths that do not meet the basic conditions, thus improving the efficiency of scheme generation. The disposal path discrimination module of this invention compares the disposal discrimination parameters with the corresponding disposal capacity of multiple first target sludge treatment and disposal paths. Based on the comparison results, it selects at least one second target sludge treatment and disposal path from among the multiple first target sludge treatment and disposal paths. This takes into account the actual disposal capacity, making the final generated sludge treatment and disposal plan more closely match the actual sludge treatment and disposal needs, ensuring the feasibility of the sludge treatment and disposal plan in the disposal stage. The treatment and disposal plan generation module of this invention generates a sludge treatment and disposal plan based on at least one second target sludge treatment and disposal path. The sludge treatment and disposal plan generation system of this invention, through the collaborative cooperation between various modules, discriminates sludge treatment and disposal plans from different perspectives. From precise data analysis to preliminary screening of treatment paths, to further optimization based on disposal capacity, and finally generating a sludge treatment and disposal plan, it can efficiently integrate multi-source data such as sludge quantity information, sludge quality indicators, disposal resources, and budget subsidies, comprehensively considering various factors for decision-making. This improves the rationality and feasibility of the final sludge treatment and disposal plan, enhances the effect of sludge treatment and disposal and resource utilization, and is more in line with actual sludge treatment and disposal conditions.

[0007] In one optional implementation, the data analysis module includes a large model analysis unit; the large model analysis unit is used to analyze the sludge treatment information input by the user according to a preset large model, and extract path discrimination parameters and disposal discrimination parameters from the sludge treatment information; the path discrimination parameters are parameters related to path discrimination; the disposal discrimination parameters are parameters related to disposal discrimination.

[0008] In one optional implementation, the treatment path discrimination module includes a sludge quality discrimination unit and an investment cost discrimination unit; the sludge quality discrimination unit is used to match the target sludge quality parameters of the path discrimination parameters with the path sludge quality parameters of a plurality of preset sludge treatment and disposal paths to obtain a plurality of successfully matched initial sludge treatment and disposal paths; the investment cost discrimination unit is used to match the investment budget parameters of the path discrimination parameters with the investment cost parameters of a plurality of initial sludge treatment and disposal paths to obtain a plurality of successfully matched first target sludge treatment and disposal paths.

[0009] In one optional implementation, the disposal path discrimination module includes a disposal discrimination unit and a sludge allocation unit; the disposal discrimination unit is used to compare the sludge quantity parameter in the disposal discrimination parameters with the sludge disposal parameters corresponding to multiple first target sludge treatment and disposal paths respectively, and obtain the comparison result; the sludge allocation unit is used to select at least one second target sludge treatment and disposal path from multiple first target sludge treatment and disposal paths according to the priority order of disposal capacity in the comparison result.

[0010] In one optional implementation, the treatment and disposal scheme generation module includes a result integration unit; the result integration unit is used to fill the parameter information of at least one second target sludge treatment and disposal path into the corresponding position of the preset treatment and disposal scheme template to generate a sludge treatment and disposal scheme.

[0011] In one optional implementation, the system further includes a sludge treatment and disposal knowledge storage module and an information caching module; the sludge treatment and disposal knowledge storage module is used to store prior knowledge information about the sludge treatment and disposal process; the information caching module is used to store information from the operation of the treatment path discrimination module and the disposal path discrimination module.

[0012] Secondly, the present invention provides a method for generating a sludge treatment and disposal scheme, comprising: analyzing sludge treatment information input by a user to determine path discrimination parameters and disposal discrimination parameters; matching the path discrimination parameters with corresponding parameters in a plurality of preset sludge treatment and disposal paths to obtain a plurality of successfully matched first target sludge treatment and disposal paths; comparing the disposal discrimination parameters with the corresponding disposal capacity in the plurality of first target sludge treatment and disposal paths, and selecting at least one second target sludge treatment and disposal path from the plurality of first target sludge treatment and disposal paths based on the comparison results; and generating a sludge treatment and disposal scheme based on at least one second target sludge treatment and disposal path.

[0013] Thirdly, the present invention provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the sludge treatment and disposal scheme generation method of the second aspect described above.

[0014] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the sludge treatment and disposal scheme generation method described in the second aspect above.

[0015] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the sludge treatment and disposal scheme generation method described in the second aspect above. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the specific embodiments or related technologies of the present invention, the drawings used in the description of the specific embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the workflow of a sludge treatment and disposal solution generation system according to an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of the workflow of a sludge treatment and disposal solution generation system according to an embodiment of the present invention.

[0019] Figure 3 This is a schematic diagram of the workflow of a sludge treatment and disposal solution generation system according to an embodiment of the present invention.

[0020] Figure 4 This is a schematic flowchart of a method for generating a sludge treatment and disposal scheme according to an embodiment of the present invention.

[0021] Figure 5 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] With the acceleration of urbanization and rapid industrial development, the amount of sewage sludge produced is increasing daily. Sludge treatment and disposal is a key aspect of environmental protection. Improper treatment methods can lead to a series of environmental problems such as soil pollution, water pollution, and air pollution, while also wasting resources.

[0024] Currently, the development of sludge treatment and disposal solutions mainly relies on human experience and traditional analytical methods. Human experience is limited by individual knowledge and practical experience, making it difficult to fully consider various complex factors, such as the characteristics of different sludge types, sludge volume variations, limitations of disposal resources, and budget subsidies. Traditional analytical methods, on the other hand, require significant manpower, resources, and time, and the results are often delayed, failing to respond promptly to dynamic changes in actual treatment processes.

[0025] Most sludge treatment and disposal decision-making systems in related technologies are based on static code logic. They match and process input data item by item by setting a series of fixed judgment rules. Users must strictly follow the preset format to input data. The sludge treatment and disposal decision-making system relies on precise field matching to determine the applicability of various sludge treatment methods and outputs treatment suggestions with a fixed structure. However, these sludge treatment and disposal decision-making systems usually lack the ability to integrate multi-source heterogeneous data and cannot perform semantic understanding or intelligent reasoning. As a result, even slight deviations in input (such as different expressions) may lead to failure to recognize or errors. In addition, when outputting results, sludge treatment and disposal decision-making systems also struggle to prioritize multiple solutions based on specific contexts, lacking flexibility and intelligent support, and failing to meet the diverse needs of users.

[0026] In terms of user interaction, the interaction method of the sludge treatment and disposal decision system in related technologies is not user-friendly enough. Users cannot easily obtain detailed treatment plan information, nor can they conduct in-depth Q&A and feedback, resulting in a poor user experience.

[0027] This invention provides a sludge treatment and disposal solution generation system, which automatically generates sludge treatment and disposal solutions to improve the efficiency of solution generation.

[0028] According to an embodiment of the present invention, a sludge treatment and disposal scheme generation system embodiment is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0029] This embodiment provides a sludge treatment and disposal solution generation system. Figure 1 This is a flowchart of the sludge treatment and disposal scheme generation system according to an embodiment of the present invention, such as... Figure 1As shown, the system includes: a data analysis module 101, a processing path discrimination module 102, a disposal path discrimination module 103, and a processing and disposal plan generation module 104.

[0030] The data analysis module 101 is used to analyze the sludge treatment information input by the user, determine the path discrimination parameters and the disposal discrimination parameters, and send the path discrimination parameters to the treatment path discrimination module 102 and the disposal discrimination parameters to the disposal path discrimination module 103.

[0031] The processing path discrimination module 102 is used to match the path discrimination parameters with the corresponding parameters in a plurality of preset sludge treatment and disposal paths to obtain a plurality of successfully matched first target sludge treatment and disposal paths.

[0032] The disposal path discrimination module 103 is used to compare the disposal discrimination parameters with the corresponding disposal capacity in multiple first target sludge treatment and disposal paths, and select at least one second target sludge treatment and disposal path from the multiple first target sludge treatment and disposal paths according to the comparison results.

[0033] The treatment and disposal plan generation module 104 is used to generate a sludge treatment and disposal plan based on at least one second target sludge treatment and disposal path.

[0034] The sludge treatment and disposal scheme generation system provided in this embodiment includes a data analysis module 101, a treatment path discrimination module 102, a disposal path discrimination module 103, and a treatment and disposal scheme generation module 104. The data analysis module 101 is used to analyze the sludge treatment information input by the user, determine the path discrimination parameters and disposal discrimination parameters, and send the path discrimination parameters to the treatment path discrimination module 102 and the disposal discrimination parameters to the disposal path discrimination module 103. By understanding and analyzing the sludge treatment information input by the user, this invention extracts key path discrimination parameters and disposal discrimination parameters, providing accurate and reliable basic data for subsequent path discrimination and disposal capacity comparison. The processing path discrimination module 102 of this invention is used to match path discrimination parameters with corresponding parameters in a plurality of preset sludge treatment and disposal paths to obtain a plurality of successfully matched first target sludge treatment and disposal paths. Based on the path discrimination parameters, the first target sludge treatment and disposal paths that match the path discrimination parameters can be quickly screened, initially narrowing the scope and avoiding invalid analysis of paths that do not meet the basic conditions, thereby improving the efficiency of scheme generation. The disposal path discrimination module 103 of this invention is used to compare the disposal discrimination parameters with the corresponding disposal capacity in a plurality of first target sludge treatment and disposal paths. Based on the comparison results, at least one second target sludge treatment and disposal path is selected from the plurality of first target sludge treatment and disposal paths. This takes into account the actual disposal capacity, making the final generated sludge treatment and disposal scheme more in line with the actual sludge treatment and disposal disposal requirements, and ensuring the feasibility of the sludge treatment and disposal scheme in the disposal stage. The treatment and disposal scheme generation module 104 of this invention is used to generate a sludge treatment and disposal scheme based on at least one second target sludge treatment and disposal path. The sludge treatment and disposal scheme generation system of the present invention, through the coordinated cooperation between various modules, judges sludge treatment and disposal schemes from different perspectives. From precise data analysis to preliminary screening of treatment paths, and then to further optimization based on the capacity for disposal, it finally generates a sludge treatment and disposal scheme. It can efficiently integrate multi-source data such as sludge quantity information, sludge quality indicators, disposal resources, and budget subsidies, and make decisions by comprehensively considering various factors. This improves the rationality and feasibility of the final sludge treatment and disposal scheme, enhances the effect of sludge treatment and disposal and resource utilization, and is more in line with the actual situation of sludge treatment and disposal.

[0035] This embodiment provides a sludge treatment and disposal solution generation system. Figure 2 This is a flowchart of a sludge treatment and disposal solution generation system according to an embodiment of the present invention, such as... Figure 2 As shown, the system includes: a data analysis module 201, a processing path discrimination module 202, a disposal path discrimination module 203, and a processing and disposal plan generation module 204.

[0036] The data analysis module 201 is used to analyze the sludge treatment information input by the user, determine the path discrimination parameters and the disposal discrimination parameters, and send the path discrimination parameters to the treatment path discrimination module 202 and the disposal discrimination parameters to the disposal path discrimination module 203.

[0037] Users input sludge treatment information through a preset input interface. The sludge treatment information is the sludge treatment demand information, which includes data such as sludge quantity, sludge quality indicators, disposal resources, and budget subsidies. This data covers key information in the sludge treatment and disposal process. For example, the sludge treatment information includes: "sludge treatment volume of brick factory: 200 tons, sludge type: sewage sludge", etc.

[0038] In some optional implementations, sludge treatment information is encapsulated in the format of "data name: data" to ensure data standardization and consistency, facilitating subsequent transmission and processing.

[0039] In some optional implementations, the data analysis module 201 includes a large model analysis unit 2011; the large model analysis unit 2011 is used to analyze the sludge treatment information input by the user according to a preset large model, and extract path discrimination parameters and disposal discrimination parameters from the sludge treatment information; the path discrimination parameters are parameters related to path discrimination; the disposal discrimination parameters are parameters related to disposal discrimination.

[0040] Among them, the pre-set large model is used to understand and process sludge treatment information, extract path discrimination parameters and disposal discrimination parameters from the sludge treatment information, coordinate and integrate the discrimination process and discrimination results of the processing path discrimination module 202 and the disposal path discrimination module 203, and extract path discrimination parameters and disposal discrimination parameters from the sludge treatment information; it is used to standardize inconsistent content into a format that the processing path discrimination module 202 and the disposal path discrimination module 203 can recognize; it is used to automatically trigger the processing path discrimination module 202 and the disposal path discrimination module 203 to perform path discrimination and resource allocation; and it is used for scheme tracing analysis and extended question answering.

[0041] In some optional implementations, a pre-set large model is used to understand and infer the user's intent based on natural language understanding technology and sludge treatment information. Then, it accurately determines the task type (solution reasoning task or knowledge question-and-answer task). If it is a reasoning task, the processing path discrimination module 202, the disposal path discrimination module 203, and the treatment and disposal solution generation module 204 are called to generate a solution. If it is a knowledge question-and-answer task, the sludge treatment and disposal knowledge storage module 205 and the information caching module 206 are called to answer questions.

[0042] The processing path discrimination module 202 is used to match the path discrimination parameters with the corresponding parameters in multiple preset sludge treatment and disposal paths to obtain multiple first target sludge treatment and disposal paths that have been successfully matched.

[0043] In some optional embodiments, the treatment path discrimination module 202 includes a sludge quality discrimination unit 2021 and an investment cost discrimination unit 2022; the sludge quality discrimination unit 2021 is used to match the target sludge quality parameters of the path discrimination parameters with the path sludge quality parameters of a plurality of preset sludge treatment and disposal paths to obtain a plurality of successfully matched initial sludge treatment and disposal paths; the investment cost discrimination unit 2022 is used to match the investment budget parameters of the path discrimination parameters with the investment cost parameters of a plurality of initial sludge treatment and disposal paths to obtain a plurality of successfully matched first target sludge treatment and disposal paths.

[0044] The target sludge parameters include sludge type, heavy metals, E. coli, moisture content, and pH value. The sludge discrimination unit 2021 calls multiple preset functions to match each of the target sludge parameters with the corresponding path sludge parameters in multiple preset sludge treatment and disposal paths. If a match is successful, it means that the preset sludge treatment and disposal path can be used to treat the sludge corresponding to the target sludge parameter. If a match fails, it means that the preset sludge treatment and disposal path is not suitable for treating the sludge corresponding to the target sludge parameter, thus obtaining multiple initial sludge treatment and disposal paths that have been successfully matched. Each preset function is used to determine whether a target sludge parameter matches the corresponding path sludge parameter in multiple preset sludge treatment and disposal paths. When all preset functions have completed their determinations, multiple initial sludge treatment and disposal paths are obtained where each preset function has been successfully matched.

[0045] In some optional implementations, the investment cost discrimination unit 2022 is used to obtain the investment cost parameters of each initial sludge treatment and disposal path, compare the investment budget parameters of the path discrimination parameters with the investment cost parameters of each initial sludge treatment and disposal path, and take the multiple initial sludge treatment and disposal paths that are successfully compared as the first target sludge treatment and disposal path.

[0046] The disposal path discrimination module 203 is used to compare the disposal discrimination parameters with the corresponding disposal capacity in multiple initial sludge treatment and disposal paths, and select at least one second target sludge treatment and disposal path from the multiple initial sludge treatment and disposal paths based on the comparison results.

[0047] In some optional embodiments, the disposal path discrimination module 203 includes a disposal discrimination unit 2031 and a sludge allocation unit 2032; the disposal discrimination unit 2031 is used to compare the sludge quantity parameter in the disposal discrimination parameters with the sludge disposal parameters corresponding to multiple first target sludge treatment and disposal paths respectively, and obtain the comparison result; the sludge allocation unit 2032 is used to select at least one second target sludge treatment and disposal path from multiple first target sludge treatment and disposal paths according to the priority order of disposal capacity in the comparison result.

[0048] The disposal discrimination unit 2031 is used to obtain the sludge disposal parameters of each first target sludge treatment and disposal path based on the product of the disposal resource area of ​​each first target sludge treatment and disposal path and the sludge treatment volume per hectare. The sludge volume parameter in the disposal discrimination parameters is compared with the sludge disposal parameters corresponding to multiple first target sludge treatment and disposal paths to obtain the comparison results. The comparison results include complete disposal, most of which can be disposed of, and a small portion of which can be disposed of.

[0049] In some optional embodiments, the sludge allocation unit 2032 is used to prioritize sludge according to the degree of disposal based on the comparison results, obtain a priority order of disposal capacity, and select at least one second target sludge treatment and disposal path that can adapt to the sludge quantity parameter in the disposal discrimination parameter according to the priority order of disposal capacity in the comparison results. For example, when the sludge treatment information input by the user includes a disposal path requirement, the second target sludge treatment and disposal path corresponding to the disposal path requirement is selected first. When the sludge treatment information input by the user does not include a disposal path requirement, at least one second target sludge treatment and disposal path is selected according to the disposal capacity of the sludge treatment and disposal path corresponding to the priority order. Among the sludge treatment and disposal paths corresponding to the priority order, if a certain sludge treatment and disposal path can completely handle the sludge, the entire amount is allocated to that path; if the capacity is insufficient, the maximum amount that can be handled is allocated, and the remaining part is continued to be allocated to the next priority sludge treatment and disposal path until the sludge is completely allocated or there is no available method.

[0050] The treatment and disposal plan generation module 204 is used to generate a sludge treatment and disposal plan based on at least one second target sludge treatment and disposal path.

[0051] In some optional implementations, the treatment and disposal scheme generation module 204 includes a result integration unit 2041; the result integration unit 2041 is used to fill the parameter information of at least one second target sludge treatment and disposal path into the corresponding position of the preset treatment and disposal scheme template to generate a sludge treatment and disposal scheme.

[0052] The pre-set treatment and disposal plan template includes: feasible plan name and number, disposal path description, applicable conditions (including key constraints), process flow (including treatment process description), disposal capacity (including capacity matching data), economic evaluation (including cost range analysis), recommendation level (rating or star rating), plan suggestions (including recommended plans based on sludge treatment capacity, technology maturity, treatment costs, etc.), and constraints (including constraints on various situations that may lead to system instability, such as disposal rules for ambiguous terms, priority order of treatment and disposal methods and process flows, special provisions for individual indicators or processes of various disposal methods, and prompts for easily confused terms, etc.).

[0053] In some optional implementations, the sludge treatment and disposal scheme generation system further includes: a sludge treatment and disposal knowledge storage module 205 and an information caching module 206; the sludge treatment and disposal knowledge storage module 205 is used to store prior knowledge information of the sludge treatment and disposal process; the information caching module 206 is used to store information during the operation of the treatment path discrimination module 202 and the disposal path discrimination module 203.

[0054] The sludge treatment and disposal knowledge storage module 205 includes a sludge treatment and disposal knowledge base, which stores professional knowledge, industry standards, case experience, and other information in the field of sludge treatment and disposal. When integrating solutions and answering questions, the pre-set large model will refer to the information in the sludge treatment and disposal knowledge base to improve the accuracy and professionalism of the recommended solutions.

[0055] In some optional implementations, the information caching module 206 includes a sludge discrimination tool cache information library for storing intermediate information during the calling process of the treatment path discrimination module 202 and the disposal path discrimination module 203. The intermediate information can be the discrimination results caused by one or more indicators exceeding the standard, insufficient funds, disposal volume, etc. This intermediate information can be used for subsequent question and answer such as analysis of the reasons for different paths and calculation of disposal volume allocation, providing sufficient basis for subsequent question and answer and decision-making, avoiding duplication of work, improving the efficiency and response speed of the system, and enabling rapid response to dynamic changes in actual processing.

[0056] The sludge treatment and disposal scheme generation system provided in this embodiment utilizes the powerful natural language processing and language generation capabilities of a pre-set large model to accurately understand and extract parameters from input text, as well as intelligently integrate and generate responses from processing results. The pre-set large model can also perform deep question answering based on a knowledge base and cached information database to meet diverse user needs. This embodiment of the invention can efficiently integrate multi-source data such as sludge quantity information, sludge quality indicators, disposal resources, and budget subsidies, comprehensively considering various factors to make decisions, improving the rationality and feasibility of the scheme, and enhancing the effectiveness and resource utilization of sludge treatment and disposal. This embodiment of the invention achieves collaborative work between the treatment path discrimination module 202 and the disposal path discrimination module 203. Through the scheduling and integration of the pre-set large model, the treatment path discrimination module 202 and the disposal path discrimination module 203 can cooperate with each other to discriminate sludge treatment and disposal schemes from different perspectives, improving the comprehensiveness and accuracy of the schemes. This embodiment of the invention, combined with budget subsidies and cost calculation functions, can screen out economically feasible treatment schemes, reducing the cost of sludge treatment and disposal and improving economic efficiency. The user-friendly interface and in-depth question-and-answer function of this invention enable users to easily obtain detailed processing solution information, gain a deeper understanding of the solution, and provide feedback, thereby improving the user experience.

[0057] This embodiment provides a sludge treatment and disposal solution generation system. Figure 3 This is a flowchart of a sludge treatment and disposal solution generation system according to an embodiment of the present invention, as follows: Figure 3 As shown, the system consists of two main parts: the front-end 301 and the intelligent agent consisting of a "preset large model + toolset". The parts cooperate with each other to realize intelligent recommendation of sludge treatment and disposal solutions and user interaction.

[0058] Front-end 301 is primarily responsible for data acquisition and interactive information processing. Its specific functions are as follows: Data acquisition: providing a user input interface to receive user-inputted data such as mud quantity, mud quality indicators, disposal resources, and budget subsidies; Data encapsulation: encapsulating the collected data in the format of "data name: data" to ensure data standardization and consistency, facilitating subsequent transmission and processing; Interactive information processing: interacting with users, receiving user input and feedback, and displaying the processing results to the user; It also supports in-depth Q&A, such as asking why certain solutions failed, requesting recommended solution combinations, and generating reports.

[0059] The intelligent agent consists of a pre-set large model 302, a sludge treatment and disposal path discrimination tool 303, a sludge disposal path discrimination tool 304, a sludge treatment and disposal knowledge base 305, and a sludge discrimination tool cache information base 306. The functions of each component are as follows:

[0060] The pre-defined large model 302 serves as the core of the intelligent agent, responsible for understanding and processing data such as sludge type, sludge quantity, sludge quality indicators, disposal resources, and budget subsidies. It extracts necessary parameters, coordinates the use of tools within a toolkit, integrates the results of these tool calls, and generates a final recommended solution based on a response template. Simultaneously, it leverages a knowledge base and cached information repository to answer users' in-depth questions.

[0061] The preset large model 302 prompt includes the following: Role definition: As an intelligent decision engine in the field of sludge treatment and disposal, it achieves the following core functions through a multi-tool collaboration mechanism: parsing structured input data (including four-dimensional parameters: sludge quantity, sludge quality, disposal resources, and budget subsidies); accurately extracting the parameters required by each tool from the user's input; standardizing inconsistent expressions into a format that the tools can recognize; automatically triggering toolchain execution path identification and resource allocation; generating standardized technical solutions; and supporting solution tracing analysis and extended Q&A.

[0062] The pre-set large model 302 also has a tool collaboration mechanism: it acquires the user's input content, and the intelligent agent understands and infers the user's intention through the natural language understanding technology of the pre-set large model 302. Then it accurately determines the task type (solution reasoning type or knowledge question answering type). If it is a reasoning type task, it calls the discrimination tool to generate a solution. If it is knowledge question answering data, it calls the knowledge base to answer questions.

[0063] In some optional implementations, the sludge treatment and disposal path discrimination tool 303 receives parameters extracted from a preset large model through a data receiving module; it then calls the sludge treatment and disposal path discrimination tool 303 to determine the available treatment and disposal paths and processes for the sludge based on the sludge type and organic matter content; next, it calls the investment / operating cost discrimination module functions to calculate investment and operating costs based on the sludge type and organic matter content, and filters feasible sludge treatment path schemes that meet the user's budget; finally, it calls multiple functions of the sludge quality (heavy metals, E. coli, moisture content, pH, etc.) discrimination module to determine whether the sludge meets the sludge quality index requirements of different treatment and disposal methods. Each function corresponds to a disposal method and is responsible for verifying whether the pollutant content, moisture content, heavy metals, and other key parameters in the sludge meet the applicable standards of that method, determining whether the treatment path is feasible, and finally determining the recommended scheme. Simultaneously, the intermediate information from the tool's operation, such as "the reason for the failure of forest land use is excessive heavy metals," is stored in the sludge discrimination tool cache information database 306.

[0064] In some optional implementations, the sludge disposal path identification tool 304 retrieves the treatment and disposal paths identified by the sludge disposal path identification tool 304. First, it calculates the disposal scale based on the sludge quantity information input by the user and the area (multiplied by the treatable capacity per hectare) and treatment volume of each disposal resource. Then, it calculates the required cost for each sludge treatment path by multiplying the disposal scale of each disposal resource by the investment cost per ton of sludge treated, providing an economic basis for the selection of the disposal path. The treatment and disposal capacity, total investment, and other information are stored in the sludge identification tool cache information database 306.

[0065] In some optional implementations, the preset large model 302 combines and organizes the results of the sludge treatment and disposal path identification tool 303 and the sludge disposal path identification tool 304, and generates a final recommended solution using the language generation capabilities of the preset large model 302, according to preset response templates for different task types. The recommended solution is then returned to the front end, which displays it on a webpage for the user to view.

[0066] In some optional implementations, users can perform in-depth question-and-answer sessions based on the returned results, such as asking why certain solutions failed, recommending solution combinations, and generating reports. The pre-built large model 302 answers user questions based on information from the sludge treatment and disposal knowledge base 305 and the sludge identification tool cache information base 306. During the answering process, the pre-built large model 302 extracts relevant knowledge and intermediate information from the sludge treatment and disposal knowledge base 305 and the sludge identification tool cache information base 306 according to the type and requirements of the question, performs analysis and reasoning, and generates accurate and detailed answers.

[0067] For example, the sludge treatment information input by the user can include: sludge quantity information, sludge quality indicators, disposal resources, budget subsidies, etc. For instance, the user inputs: "The relevant information on sludge treatment in our city is as follows. Please help me generate a feasible sludge treatment and disposal plan: The sludge type is sewage sludge, requiring the treatment of 30 tons per day, 55% organic matter, 50% moisture content, 10 mg of total cadmium per kilogram of dry sludge, 300 mg of total lead per kilogram of dry sludge, 100% worm egg mortality rate, fecal coliform count greater than 0.04%, total chromium content 800 mg / kg, and hexavalent chromium content 3.6." mg / kg (milligrams per kilogram), total zinc content is 2000 mg / kg, total mercury content is 4 mg / kg, copper content is 1000 mg (milligrams), dry basis chlorine content is 1.4%, government subsidy is 280 yuan / ton, investment cost is 2.8 million yuan / ton, usable land area for gardens and green spaces is 100 hectares, usable land area for forests is 200 hectares, usable land area for unused land is 300 hectares, independent sludge incineration capacity is 30 tons / day, sludge treatment capacity for coal-fired power plants is 40 tons / day, sludge treatment capacity for waste incineration plants is 30 tons / day, and sludge treatment capacity for brick factories is 20 tons / day.

[0068] The pre-defined large model 302 extracts and encapsulates the above sludge treatment information, resulting in: Sludge type: sewage sludge; Volatile solids ratio: 55; Moisture content: 50%; Fecal coliforms: 0; Total cadmium: 10%; Total chromium: 800%; Total lead: 300%; Total zinc: 2000%; Total copper: 1000%; Total mercury: 1000%; Ascaris egg mortality rate: 100%; Coliform density: 0.04%; Dry chlorine content: 1.4%; Investment budget: 280%; Government subsidy: 280%; Green area: 100%; Forest area: 200%; Improved land area: 300%; Independent incineration scale: 30%; Power plant scale: 40%; Waste treatment plant scale: 30%; Brick factory scale: 20%.

[0069] The sludge treatment and disposal path identification tool 303 was used to identify the above information. The identification process was as follows: deep dewatering and cement kiln co-processing require a daily investment cost of 300,000 to 400,000 yuan and an operating cost of 190 to 270 yuan. This method belongs to cement kiln co-processing and does not provide the processing capacity, so it is set as full treatment for cement production. Note: Cement kilns mainly use the following two processes based on the sludge moisture content and the kiln inlet point: Feeding into the kiln tail flue: In cement kiln co-processing technology, directly feeding dewatered sludge with a moisture content of 70% to 80% into the kiln tail flue for incineration is currently the most widely used technology in China, accounting for more than 50% of all treatment production lines. Sludge with a moisture content of 30% to 80% can be fed from the kiln tail flue, but it is advisable to install forced feeding equipment such as spray guns, and the temperature drop in the flue should be controlled below 100℃ to prevent local blockage and crusting. Feeding into the decomposition furnace: Sludge with a moisture content of no more than 30% can be fed from the cement kiln decomposition furnace. The pH value should be between 5 and 10, the total nutrients (total nitrogen + total phosphorus + total potassium) should be ≥1%, the odor level should be below level 2, the arsenic content should be less than 75 mg / kg, the nickel content should be less than 200 mg / kg, the boron content should be less than 150 mg / kg, the mineral oil content should be less than 3000 mg / kg, the benzo[a]pyrene content should be less than 3 mg / kg, the adsorbable organic halogens in the dry sludge should be less than 500 mg / kg, the polychlorinated biphenyls should be less than 0.2 mg / kg, the volatile phenol content should be less than 40 mg / kg, and the total cyanide per kilogram of dry sludge should be less than 10 mg. If the above standards are met, it can be used for land improvement of neutral / alkaline soil (pH ≥ 6.5): anaerobic digestion, deep dehydration, natural drying. The daily investment cost is 850,000 to 1,000,000 yuan, and the operating cost is 280 to 350 yuan. This method of land improvement for neutral / alkaline soil (pH ≥ 6.5) can treat 24.66 tons of sludge. Non-sintered recycled materials cannot be used for Class II land use because: hexavalent chromium should be ≤5.7mg / kg, but currently the hexavalent chromium is 800.0; they cannot be used for sintering brick making because: the moisture content should be less than or equal to 40%, but currently the moisture content is 50.0; the total lead per kilogram of dry sludge should be less than 300mg, but currently the total lead is 300.0, etc.

[0070] The sludge disposal path identification tool 304 was used for identification. The identification process was as follows: land improvement: 24.66 tons, forest land utilization: 5.34 tons. Note: The following methods did not provide parameters and could not participate in the allocation: cement kiln co-processing, co-brick making.

[0071] The preset large model 302 is integrated, and based on the preset response template, the language generation capabilities of the preset large model 302 are used to generate the final recommendation scheme. The final recommendation scheme is as follows:

[0072] 1. Soil Improvement (Neutral / Alkaline Soil, pH ≥ 6.5). 1) Prerequisites: pH value between 5 and 10 (pH not provided, needs confirmation); Total nutrients (total nitrogen + total phosphorus + total potassium) ≥ 1% (not provided, needs testing); Arsenic content < 75 mg / kg (not provided, needs testing); Nickel content < 200 mg / kg (not provided, needs testing); Boron content < 150 mg / kg (not provided, needs testing); Mineral oil < 3000 mg / kg (not provided, needs testing); Benzo[a]pyrene < 3 mg / kg (not provided, needs testing); Adsorbable organic halogens < 500 mg / kg (not provided, needs testing); Polychlorinated biphenyls < 0.2 mg / kg (not provided, needs testing); Volatile phenols < 40 mg / kg (not provided, needs testing); Cyanide < 10 mg / kg (not provided, needs testing). 2) Treatment Process: Anaerobic digestion; deep dehydration; natural drying; used for neutral / alkaline soil improvement. 3) Sludge processing capacity of this scheme: 24.66 tons / day. 4) Investment and operating costs: Investment cost range: 850,000~1,000,000 RMB / ton; Total investment cost: 24.66 × 92.5 (midpoint) ≈ 22,808,500 RMB; Operating cost: 280~350 RMB / ton. 5) Recommendation level: 4.5 stars, deducting 0.5 stars because: Multiple testing data are required before implementation. 2. Forest Land Utilization: 1) pH Value, prerequisites: pH value between 5.5 and 8.5 (not provided, needs confirmation); Total Nutrients ≥ 2.5% (not provided); Particle Size ≤ 10mm (not provided); Impurity Content ≤ 5% (not provided); Germination Index > 60% (not provided); Arsenic ≤ 75mg / kg (not provided); Nickel ≤ 200mg / kg (not provided); Mineral Oil ≤ 3000mg / kg (not provided); Benzo[a]pyrene ≤ 3mg / kg (not provided); Polycyclic Aromatic Hydrocarbons ≤ 6mg / kg (not provided); 2) Treatment and Disposal Process: Anaerobic Digestion ; Deep dehydration; natural drying; used for forest land greening; 3) The amount of sludge that this scheme can process: 5.34 tons / day; 4) Investment and operating costs: Investment cost range: 850,000 to 1,000,000 yuan / ton; Total investment cost: 5.34 × 92.5 ≈ 4,939,500 yuan; Operating cost: 280 to 350 yuan / ton; 5) Recommendation level: 4.5 stars, deduct 0.5 stars because: It also faces the problem of missing test data, and the use of forest land should pay attention to the following: the cumulative amount of sludge applied per year should not exceed 30 tons per hectare, and the continuous application should not exceed 15 years. Please plan the long-term use cycle reasonably.

[0073] According to the final recommended solutions, none of the recommended solutions can handle all the sludge through a single pathway (land reclamation can handle a maximum of 24.66 tons, with the remaining 5.34 tons requiring other methods). The current recommended solution combines land reclamation and forest land use, which can completely handle 30 tons / day of sludge without exceeding the land's carrying capacity (300 hectares of land reclamation and 200 hectares of forest land are available). It is recommended to prioritize this co-processing pathway.

[0074] It is important to note that while co-processing in cement kilns was deemed feasible in the assessment, the user explicitly stated "no cement kiln," therefore it is not recommended and was not included in the allocation. Although independent incineration and waste incineration have processing capacity (a total of 100 tons of sludge can be processed daily), their high investment and operating costs (the tool suggests against them) and the fact that current ecological utilization pathways already meet the needs mean they are not prioritized. All land use plans require supplementary reports on missing indicator testing before implementation; otherwise, environmental risks exist.

[0075] In some optional implementations, users can perform in-depth question-and-answer sessions based on the returned results, such as asking why certain solutions failed, recommending solution combinations, and generating reports. The pre-built large model 302 answers user questions based on information from the sludge treatment and disposal knowledge base 305 and the sludge identification tool cache information base 306. During the answering process, the pre-built large model 302 extracts relevant knowledge and intermediate information from the sludge treatment and disposal knowledge base 305 and the sludge identification tool cache information base 306 according to the type and requirements of the question, performs analysis and reasoning, and generates accurate and detailed answers.

[0076] For example, a user asked: "What are the costs of independent incineration and waste incineration respectively?"

[0077] Preset large model 302 output: Operating cost of independent incineration: approximately 300-500 RMB / ton (80% moisture content); Investment cost: approximately 500,000-750,000 RMB / ton / day. Note: Requires the construction of a dedicated incinerator (e.g., fluidized bed, grate furnace), along with supporting systems for flue gas purification and fly ash stabilization. High energy consumption; suitable for areas with large sludge volumes and limited land resources. The government subsidy you provided is 280 RMB / ton, lower than the operating cost, resulting in significant economic pressure. Operating cost of co-incineration at a waste incineration plant: approximately 360-470 RMB / ton (80% moisture content); Investment cost: approximately 250,000-350,000 RMB / ton / day. Note: When feeding dewatered sludge into the waste incineration plant for co-incineration, it is necessary to ensure the sludge moisture content is ≤60% and does not affect the calorific value of incineration and flue gas compliance. Fees are higher in some areas due to the need to modify the feeding system and increase the flue gas treatment load. Additional explanation: The current sludge treatment budget is 280 yuan / ton for operating subsidies. Compared with the above costs, the operating costs of independent incineration and waste incineration generally exceed 280 yuan, resulting in a funding gap. Without additional subsidies, it would be difficult to sustain.

[0078] This embodiment provides a method for generating sludge treatment and disposal solutions, which can be used in the aforementioned sludge treatment and disposal solution generation system. Figure 4 This is a flowchart of a sludge treatment and disposal scheme generation method according to an embodiment of the present invention, such as... Figure 4 As shown, the process includes the following steps:

[0079] Step S401: Analyze the sludge treatment information input by the user to determine the path discrimination parameters and the disposal discrimination parameters.

[0080] In some optional implementations, the sludge treatment information input by the user is analyzed to determine path discrimination parameters and disposal discrimination parameters, including: analyzing the sludge treatment information input by the user according to a preset large model, and extracting path discrimination parameters and disposal discrimination parameters from the sludge treatment information; the path discrimination parameters are parameters related to path discrimination; the disposal discrimination parameters are parameters related to disposal discrimination.

[0081] Step S402: Match the path discrimination parameters with the corresponding parameters in multiple preset sludge treatment and disposal paths to obtain multiple first target sludge treatment and disposal paths that have been successfully matched.

[0082] In some optional implementations, the path discrimination parameters are matched with corresponding parameters in a plurality of preset sludge treatment and disposal paths to obtain a plurality of successfully matched first target sludge treatment and disposal paths, including: matching the target sludge quality parameters of the path discrimination parameters with the path sludge quality parameters in a plurality of preset sludge treatment and disposal paths to obtain a plurality of successfully matched initial sludge treatment and disposal paths; and matching the investment budget parameters of the path discrimination parameters with the investment cost parameters in a plurality of initial sludge treatment and disposal paths to obtain a plurality of successfully matched first target sludge treatment and disposal paths.

[0083] Step S403: The disposal discrimination parameters are compared with the corresponding disposal capacity of multiple first target sludge treatment and disposal paths, and at least one second target sludge treatment and disposal path is selected from the multiple first target sludge treatment and disposal paths based on the comparison results.

[0084] In some optional implementations, the sludge disposal discrimination parameters are compared with the corresponding disposal capacities of multiple first target sludge treatment and disposal paths, and at least one second target sludge treatment and disposal path is selected from the multiple first target sludge treatment and disposal paths based on the comparison results. This includes: comparing the sludge quantity parameter in the sludge disposal discrimination parameters with the sludge disposal parameters corresponding to the multiple first target sludge treatment and disposal paths to obtain comparison results; and selecting at least one second target sludge treatment and disposal path from the multiple first target sludge treatment and disposal paths according to the priority order of the disposal capacity in the comparison results.

[0085] Step S404: Generate a sludge treatment and disposal plan based on at least one second target sludge treatment and disposal path.

[0086] In some optional implementations, a sludge treatment and disposal plan is generated based on at least one second target sludge treatment and disposal path, including: filling the parameter information of at least one second target sludge treatment and disposal path into the corresponding position of a preset treatment and disposal plan template to generate a sludge treatment and disposal plan.

[0087] In some optional implementations, the sludge treatment and disposal scheme generation method further includes: storing prior knowledge information about the sludge treatment and disposal process; and storing information from the operation of the treatment path discrimination module and the disposal path discrimination module.

[0088] This invention also provides a computer device having the above-described features. Figure 1 The system shown is for generating sludge treatment and disposal solutions.

[0089] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 5 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 5 Take a processor 10 as an example.

[0090] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0091] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0092] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0093] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0094] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0095] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0096] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0097] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A sludge treatment and disposal scenario generation system, characterized by, The system comprises a data analysis module, a treatment path discrimination module, a disposal path discrimination module, and a treatment disposal scheme generation module; The data analysis module is configured to analyze sludge treatment information input by a user, determine path discrimination parameters and disposal discrimination parameters, and send the path discrimination parameters to the treatment path discrimination module and the disposal discrimination parameters to the disposal path discrimination module; the path discrimination parameters are parameters related to path discrimination, and the path discrimination parameters comprise target sludge quality parameters and investment budget parameters; the disposal discrimination parameters are parameters related to disposal discrimination, and the disposal discrimination parameters comprise sludge quantity parameters; The treatment path discrimination module is configured to match the path discrimination parameters with corresponding parameters in a plurality of preset sludge treatment disposal paths respectively, and obtain a plurality of first target sludge treatment disposal paths with successful matching; The disposal path discrimination module is configured to compare the disposal discrimination parameters with corresponding disposal capacities in a plurality of the first target sludge treatment disposal paths respectively, and select at least one second target sludge treatment disposal path from the plurality of the first target sludge treatment disposal paths according to a comparison result; The treatment disposal scheme generation module is configured to generate a sludge treatment disposal scheme according to at least one of the second target sludge treatment disposal paths.

2. The system of claim 1, wherein, The data analysis module comprises a large model analysis unit; The large model analysis unit is configured to analyze the sludge treatment information input by the user according to a preset large model, and extract the path discrimination parameters and the disposal discrimination parameters in the sludge treatment information.

3. The system of claim 1 or 2, wherein, The treatment path discrimination module comprises a sludge quality discrimination unit and an investment expense discrimination unit; The sludge quality discrimination unit is configured to match target sludge quality parameters of the path discrimination parameters with path sludge quality parameters in a plurality of preset sludge treatment disposal paths respectively, and obtain a plurality of initial sludge treatment disposal paths with successful matching; The investment expense discrimination unit is configured to match investment budget parameters of the path discrimination parameters with investment expense parameters in a plurality of the initial sludge treatment disposal paths respectively, and obtain a plurality of the first target sludge treatment disposal paths with successful matching.

4. The system of claim 1 or 2, wherein, The disposal path discrimination module comprises a disposal discrimination unit and a sludge allocation unit; The disposal discrimination unit is configured to compare sludge quantity parameters in the disposal discrimination parameters with sludge disposal parameters corresponding to a plurality of the first target sludge treatment disposal paths respectively, and obtain a comparison result; The sludge allocation unit is configured to select at least one second target sludge treatment disposal path from the plurality of the first target sludge treatment disposal paths according to a disposal capacity priority arrangement order in the comparison result.

5. The system of claim 1 or 2, wherein, The treatment disposal scheme generation module comprises a result integration unit; The result integration unit is configured to fill parameter information of at least one of the second target sludge treatment disposal paths into a corresponding position of a preset treatment disposal scheme template, and generate the sludge treatment disposal scheme.

6. The system of claim 1 or 2, wherein, The system further comprises a sludge treatment disposal knowledge storage module and an information cache module; The sludge treatment and disposal knowledge storage module is configured to store prior knowledge information of a sludge treatment and disposal process. The information buffer module is configured to store information generated during operation of the treatment path determination module and the assimilation path determination module.

7. A sludge treatment and disposal scenario generation method characterized by, The method comprises: analyzing user inputted sludge treatment information to determine path determination parameters and assimilation determination parameters; the path determination parameters are parameters related to path determination, and the path determination parameters include target sludge quality parameters and investment budget parameters; the assimilation determination parameters are parameters related to assimilation determination, and the assimilation determination parameters include sludge quantity parameters; matching the path determination parameters with corresponding parameters in a plurality of preset sludge treatment and disposal paths respectively to obtain a plurality of first target sludge treatment and disposal paths with matching success; comparing the assimilation determination parameters with corresponding assimilation capacities in the plurality of first target sludge treatment and disposal paths respectively, and selecting at least one second target sludge treatment and disposal path from the plurality of first target sludge treatment and disposal paths according to a comparison result; generating a sludge treatment and disposal scheme according to the at least one second target sludge treatment and disposal path.

8. A computer device, comprising: comprise: a memory and a processor, which are in communication connection with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the sludge treatment and disposal scheme generation method of claim 7.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, and the computer instructions are used to make the computer execute the sludge treatment and disposal scheme generation method of claim 7.

10. A computer program product, characterised in that, The computer instructions are used to make the computer execute the sludge treatment and disposal scheme generation method of claim 7.

Images