Highway engineering reconstruction and expansion multi-source solid waste classification grading and coding method

Abstract

The present application relates to the technical field of solid waste information processing, and provides a highway engineering reconstruction and expansion multi-source solid waste classification, grading and coding method, which comprises the following steps: treating highway engineering multi-source solid waste through a classification step based on source, composition, harmfulness and recycling value to obtain a defined solid waste category; for each category of solid waste, performing in-depth evaluation and subdivision according to specific characteristics such as density, particle size, harmful substance content and material performance index; obtaining a grade such as first grade, second grade, third grade and the like with clear quality difference and corresponding treatment suggestions; and combining the solid waste category, the grade, the generation time and the location information according to a unified rule to obtain a unique identification code. The present application constructs a complete technical link from solid waste identification, quality determination to information management, and provides data support and decision basis for solid waste resource disposal.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of solid waste information processing, and particularly relates to a method for classifying and grading multi-source solid waste in highway engineering reconstruction and expansion. BACKGROUND

[0002] With the increasing number of highway construction and maintenance projects, a large amount of solid waste is generated, including but not limited to asphalt mixture waste, concrete waste, steel bar waste and plastic waste. At present, solid waste management mainly relies on manual classification and simple coding, which has problems such as unscientific classification, non-uniform coding and low management efficiency, and cannot meet the needs of modern highway engineering for efficient and accurate solid waste management. In addition, the lack of systematic classification and grading coding strategy leads to low solid waste recycling rate, serious resource waste and serious environmental pollution. Therefore, a systematic and standardized solid waste classification and grading coding strategy for highway engineering is needed to improve the level of solid waste management, promote resource recycling and achieve the goal of sustainable development. Unclear classification: the types of solid waste are various, and the existing classification methods are mostly based on experience, lacking systematicness and scientificity, and difficult to fully reflect the source and characteristics of the waste.

[0003] Prior art one, CN103537470A discloses a solid waste purification recycling system. At present, China has a large amount of garbage, and the treatment facilities are insufficient, and most of them are mainly landfill, incineration and composting. The treatment is difficult and causes great waste of resources. Although the solid waste is classified and collected by using suitable and advanced solid waste sorting methods and equipment, mechanical sorting is used as much as possible, and the secondary pollution that may be generated in the recycling process is treated and eliminated, which has strong popularization and application value. However, it mainly relies on mechanical sorting method, although it can recover part of the useful components, but it does not establish a fine classification standard based on source, composition, harmfulness and recycling value, and it is difficult to optimize the treatment method for different properties of solid waste; it does not grade the solid waste according to the key indicators such as density, particle size, harmful substance content and material performance, and cannot provide differentiated treatment suggestions, which limits the resource utilization rate; it cannot realize the precise management and traceability of the whole life cycle of solid waste.

[0004] Prior art 2, publication number CN112044917A, discloses a classification and combined resource utilization process for water-based drilling solid waste from oil and gas exploration drilling. This process targets drilling solid waste from geologically complex wells that utilize polymer drilling fluid systems, gas drilling fluid systems, and sulfonated drilling fluid systems in sequence. The process includes the following steps: classifying the generated drilling solid waste into polymer drilling waste, gas drilling dust, and sulfonated drilling solid waste based on the drilling fluid system used during drilling; employing a combined resource utilization process of "using as topsoil + as well site / roadbed material" for polymer drilling solid waste; employing a combined resource utilization process of "direct stockpiling + using as topsoil + as well site / roadbed material" for gas drilling dust solid waste; and employing a combined resource utilization process of "making sintered bricks + using as greening soil + solidification and landfill" for sulfonated drilling solid waste. While it boasts advantages such as enabling the classification and utilization of solid waste from different drilling fluid systems to achieve the goals of "reduction, harmlessness, and resource recovery" of drilling solid waste, it only targets oil and gas drilling solid waste and does not cover multi-source solid waste generated from highway engineering reconstruction and expansion (such as construction waste, asphalt waste, and soil waste), thus failing to meet the solid waste management needs of the highway engineering field. Furthermore, it uses only the type of drilling fluid system as the classification basis, without comprehensively considering multiple dimensions such as hazard, recovery value, and physicochemical properties, making it difficult to achieve optimal resource utilization. Although its process proposes a combined utilization method, it lacks a unified grading standard and coding rules, making it difficult to achieve systematic management of solid waste data.

[0005] Current technologies 1 and 2 suffer from problems such as crude classification, lack of grading, and difficulty in traceability. Therefore, this invention provides a method for classifying, grading, and coding multi-source solid waste from highway engineering reconstruction and expansion. Summary of the Invention

[0006] To address the aforementioned technical problems, this invention provides a method for classifying, grading, and coding multi-source solid waste in highway engineering reconstruction and expansion projects, comprising the following steps:

[0007] Multi-source solid waste from highway engineering is processed through a classification process based on source, composition, hazard, and recycling value to obtain well-defined solid waste categories;

[0008] For each category of solid waste, an in-depth evaluation and subdivision are conducted based on its specific characteristics such as density, particle size, content of hazardous substances, and material performance indicators; resulting in first-level, second-level, and third-level grades with clear quality differences and corresponding treatment recommendations;

[0009] Solid waste categories are coded with letters, grades with numbers, and information on the time and location of generation are combined according to a unified rule to obtain a unique identifier.

[0010] Optionally, the process for obtaining a well-defined solid waste category includes the following steps:

[0011] The physical accumulation state of multi-source solid waste from highway engineering is identified, and the first layer of separation is carried out based on the specific operation type in which it is generated. Using the operation type as the direct criterion, the multi-source solid waste from highway engineering is initially divided into several material flows with clear source orientation.

[0012] The material flow is analyzed for its physical composition, which distinguishes the material composition into main material components and secondary or impurity components. The results of the physical composition analysis are then imported into an integrated attribute mapping program: the type and state of the main material components are mapped to their potential recycling value level; while the coexistence relationship between secondary components and specific main components is used to assess their potential chemical hazards or physical pollution risks, thus completing the transformation from physical composition to management attributes.

[0013] Based on the management attributes of each material flow, a comprehensive judgment is made by applying preset weighting rules. Material flows with significant high value or clear high risk attributes are assigned higher category differentiation weights. Material flows with highly similar management attribute combinations are merged to form management units.

[0014] Optionally, the process of obtaining Level 1, Level 2, and Level 3 grades with clearly defined quality differences and corresponding treatment recommendations includes the following steps:

[0015] Extract a structured list of category characteristics for each type of solid waste, including density, particle size, content of hazardous substances, and material performance indicators, and set a benchmark threshold for grade determination for each category characteristic;

[0016] Based on the list of category characteristics, actual measurements are taken of the current solid waste to obtain the measured category characteristic data set. The category characteristic data set is then compared with the benchmark threshold. The comparison simulates the technical feasibility and environmental safety of the current solid waste in various recycling paths, and outputs the adaptability spectrum for different recycling paths.

[0017] The suitability spectrum is used as the basis for classification, prioritizing the matching of recycling paths with the highest technical threshold and the greatest resource value. If the suitability spectrum shows that the current solid waste can meet the highest recycling path, it is classified as Level 1. If it meets the medium or lower requirements of the recycling path, it is classified as Level 2 or Level 3 respectively.

[0018] Optionally, the process of outputting the fit spectrum for different regeneration paths includes the following steps:

[0019] For each recycling path, extract the limit tolerance range or minimum requirements of its process for the key characteristics of the type of solid waste, and construct a recycling path constraint matrix. Each row represents a recycling path, and each column corresponds to the constraint range of a characteristic parameter. The matrix elements are the specific requirement range of the recycling path for the key characteristics of the type of solid waste.

[0020] The measured category characteristic data set of the current batch of waste is compared row by row with the recycling path constraint condition matrix. For each row in the recycling path constraint condition matrix, the verification operation is to determine whether each characteristic value in the category characteristic data set falls within the value range of the constraint range of the corresponding characteristic specified by the row. The verification operation is repeated for all rows in the recycling path constraint condition matrix to generate a set of Boolean logic results, forming a preliminary path compliance set.

[0021] Based on the obtained preliminary path compliance set, a predefined recycling path priority rule is introduced; the technical feasibility and environmental safety of recycled products are used as the ranking criteria, and all recycling paths with true compliance results in the preliminary path compliance set are prioritized to form a priority adaptation spectrum that is arranged sequentially from the optimal utilization scheme to the minimum requirement scheme.

[0022] Optionally, the process of obtaining a unique identifier includes the following steps:

[0023] Based on the preset category-letter mapping table, solid waste categories are converted into unique category letter codes; subdivision levels are used as level number codes; raw time data is standardized in year and month format to generate time identification codes; raw location data is converted into specified project or area codes to generate location identification codes, and a set of basic coding elements is output.

[0024] According to the predefined encoding structure rules, the basic encoding elements are assembled in order and with delimiters. The encoding structure rules fix the position of each basic encoding element in the structured encoding sequence, thus generating a structured encoding sequence.

[0025] The structured coded sequence is compared with the existing identifiers in information management to perform a uniqueness check. If there is no duplicate, the structured coded sequence is confirmed as a unique identifier. If a duplicate is found, a duplicate code handling mechanism is triggered, and a more precise timestamp or sequence number is added to the time identifier to distinguish it until the identifier is unique.

[0026] Optionally, the process of generating a structured coded sequence includes the following steps:

[0027] The first step is to determine the order of each encoded element in the structured encoded sequence according to the predefined encoding structure rules; then, based on the encoding structure rules, the sequence position assignment is performed on each encoded element in the basic encoded element set, that is, the absolute position index of each encoded element in the structured encoded sequence is determined, and the element-position association mapping is output.

[0028] Extract the string value of each encoded element from the element-position association map in ascending order of absolute position index; insert a predefined separator between every two adjacent encoded elements; and concatenate the discrete element strings into a continuous preliminary sequence string.

[0029] The initial sequence string is compared with the sequence template defined in the encoding structure rules to check whether it fully meets the requirements of the encoding structure rules, and the structured encoding sequence that conforms to the encoding structure rules is output.

[0030] Optionally, the process of concatenating discrete element strings into a continuous preliminary sequence string includes the following steps:

[0031] Based on the absolute position index information contained in the element-position association mapping, a sorting operation is performed to arrange all coded elements in ascending order according to their corresponding absolute position index values; the originally unordered element-position association mapping is transformed into an ordered list of coded elements with element order.

[0032] Initialize an empty temporary sequence builder, iterate through the ordered list of encoded elements; for each encoded element in the ordered list, perform the following operations: append the string value of the encoded element to the temporary sequence builder; determine if the encoded element is the last element in the ordered list; if not, insert a predefined separator into the temporary sequence builder after appending the string value; output a sequence of element values ​​with the separator inserted.

[0033] The encoded element strings and delimiters in the element value sequence are concatenated into a single and continuous initial character string in their existing order.

[0034] Optionally, the process of inserting a predefined delimiter into the temporary sequence builder includes the following steps:

[0035] Append the string value of the first encoded element in the ordered encoded element list to the temporary sequence builder; at the same time, create a current processing state flag to record the order position of the currently processed encoded element in the ordered encoded element list; complete the initialization of the temporary sequence builder construction, and output the initial temporary sequence builder state containing the content of the first encoded element;

[0036] Based on the position indicated by the current processing status flag, obtain the next encoded element in the ordered encoded element list; append the string value of the encoded element to the temporary sequence builder, and perform interval logic judgment: determine whether it is the last element based on the order position of the encoded element in the ordered encoded element list; this judgment operation generates an interval trigger instruction: if the judgment result is not the last element, the instruction is to insert a separator; if it is the last element, the instruction is not to perform the operation.

[0037] The system operates according to the generated interval trigger command. If the interval trigger command is to insert a delimiter, a predefined delimiter is appended to the temporary sequence builder, and the current processing status flag is updated to point to the next element in the ordered encoded element list. The interval logic judgment is repeated until all encoded elements in the ordered encoded elements have been processed. Finally, a sequence of element values ​​with inserted delimiters is output.

[0038] Optionally, the process of updating the current processing state flag to point to the next element in the ordered list of encoded elements includes the following steps:

[0039] The interval trigger instruction generated by the input interval logic judgment is confirmed to be valid when its content is an insert delimiter; the string form of the delimiter is obtained from the predefined encoding structure rules, and a valid append operation instruction set is output.

[0040] According to the append operation instruction set, append the specified delimiter string to the end of the current temporary sequence builder content; change the internal state of the temporary sequence builder to expand its content, and output an updated temporary sequence builder content state;

[0041] Increment the position of the processing status flag by one unit so that it points to the next element in the ordered list of encoded elements, and output the updated processing status flag.

[0042] Optionally, the process of outputting an updated temporary sequence builder content state includes the following steps:

[0043] The append operation instruction set is parsed to extract the delimiter string to be appended; at the same time, the string value of the current temporary sequence builder content state is read and the complete content block to be concatenated is output. The complete content block is composed of the current builder content and the delimiter to be appended in sequence.

[0044] The two components of the complete content block, namely the current builder content string and the delimiter string, are concatenated in their inherent order to produce a new string sequence.

[0045] Clear the internal storage of the temporary sequence builder and completely replace the original content with a new string sequence; complete the update of the internal state of the temporary sequence builder, and output the updated temporary sequence builder content state, which is the expanded new content.

[0046] This invention achieves standardized identification of solid waste sources and properties through a systematic classification process; establishes a precise quality evaluation system based on physicochemical indicators through a grading process; and forms a traceable unique identification mechanism by combining coding rules. The synergistic effect of these steps constructs a complete technical chain from solid waste identification and quality assessment to information management, providing data support and decision-making basis for the resource-based disposal of solid waste.

[0047] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0048] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0049] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0050] Figure 1 This is a flowchart of the classification, grading, and coding method for multi-source solid waste in highway engineering reconstruction and expansion in Embodiment 1 of the present invention;

[0051] Figure 2 This is a schematic diagram illustrating the classification, grading, and coding method for multi-source solid waste in highway engineering reconstruction and expansion in Embodiment 1 of the present invention.

[0052] Figure 3 This is a process diagram illustrating the process of obtaining a well-defined solid waste category in Embodiment 2 of the present invention;

[0053] Figure 4 This is a process diagram for obtaining grades such as Level 1, Level 2, and Level 3 with clear quality differences and corresponding processing recommendations in Embodiment 4 of the present invention;

[0054] Figure 5 This is a diagram illustrating the process of obtaining a unique identifier in Embodiment 8 of the present invention;

[0055] Figure 6 This is a flowchart illustrating the application of the classification, grading, and coding method for multi-source solid waste in highway engineering reconstruction and expansion in Embodiment 14 of the present invention.

[0056] Figure 7This is a schematic diagram of the classification, grading, and coding rules for engineering solid waste in Embodiment 14 of the present invention. Detailed Implementation

[0057] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0058] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the embodiments of this application. The singular forms “a,” “the,” and “the” used in the embodiments of this application are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0059] In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application. In the description of this application, it should be understood that the terms "first," "second," "third," etc., are used only to distinguish similar objects and are not necessarily used to describe a specific order or sequence, nor should they be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0060] Example 1: As Figure 1 As shown, this embodiment of the invention provides a method for classifying, grading, and coding multi-source solid waste in highway engineering reconstruction and expansion, comprising the following steps:

[0061] S100: Multi-source solid waste from highway engineering is processed through classification steps based on source, composition, hazard and recycling value to obtain a well-defined solid waste category;

[0062] S200: For each category of solid waste, an in-depth evaluation and subdivision are conducted based on its specific characteristics such as density, particle size, content of hazardous substances, and material performance indicators; resulting in grades such as Grade I, Grade II, and Grade III, which have clear quality differences and corresponding treatment recommendations;

[0063] S300: Solid waste categories are coded with letters, grades with numbers, and information on the time and location of generation are combined according to a unified rule to obtain a unique identifier.

[0064] The working principle and beneficial effects of the above technical solution are as follows: First, this embodiment processes multi-source solid waste from highway engineering through a classification process based on source, composition, hazard, and recycling value, resulting in clearly defined solid waste categories. Second, for each category of solid waste, in-depth evaluation and subdivision are conducted based on its specific characteristics such as density, particle size, hazardous substance content, and material performance indicators, resulting in grades such as Level 1, Level 2, and Level 3, with clear quality differences and corresponding treatment recommendations. Finally, the solid waste category is encoded with letters, the grade with numbers, and the generation time and location information are combined according to a unified rule to obtain a unique identifier (the specific principle is as follows...). Figure 2 (As shown). The above scheme achieves standardized identification of solid waste sources and properties through a systematic classification process; establishes a precise quality evaluation system based on physicochemical indicators through a grading process; and forms a traceable unique identification mechanism by combining coding rules. The synergistic effect of each step constructs a complete technical chain from solid waste identification and quality assessment to information management, providing data support and decision-making basis for the resource-based disposal of solid waste.

[0065] Example 2: As Figure 3 As shown, based on Example 1, the process for obtaining a well-defined solid waste category provided by this embodiment of the invention includes the following steps:

[0066] S101: Identify the physical accumulation state of multi-source solid waste from highway engineering, and perform first-level separation based on the specific operation type in which it is generated. Using the operation type as the direct criterion, the multi-source solid waste from highway engineering is initially divided into several material flows with clear source orientations.

[0067] S102: Perform physical composition analysis on the material flow, classifying the material composition into main material components and secondary or impurity components; import the results of physical composition analysis into an integrated attribute mapping program: the type and state of the main material components are mapped to their potential recycling value level; while the coexistence relationship between secondary components and specific main components is used to assess their potential chemical hazards or physical pollution risks, completing the transformation from physical composition to management attributes;

[0068] S103: Based on the management attributes of each material flow, a comprehensive judgment is made by applying preset weighting rules. Material flows with significant high value or clear high risk attributes are assigned higher category differentiation weights. Material flows with highly similar management attribute combinations are merged to form management units.

[0069] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first identifies the physical accumulation state of multi-source solid waste from highway engineering, and performs a first-level separation based on the specific operation type it generates. Using the operation type as the direct criterion, the multi-source solid waste from highway engineering is initially divided into several material flows with clear source orientations. Secondly, the material flows are analyzed for their physical composition, distinguishing the material composition into main material components and secondary or impurity components. The results of the physical composition analysis are imported into an integrated attribute mapping program: the type and state of the main material components map their potential recycling value level; while the coexistence relationship between secondary components and specific main components is used to assess their potential chemical hazards or physical pollution risks, completing the transformation from physical composition to management attributes. Finally, based on the management attributes of each material flow, a preset weighting rule is applied for comprehensive judgment, assigning higher category distinction weights to material flows with significantly high value or clearly high-risk attributes; material flows with highly similar management attribute combinations are merged to form management units. The above scheme performs preliminary separation of multi-source solid waste from highway engineering based on operation type, forming material flows with clear sources and providing structured input for classification. It distinguishes between primary material components and secondary / mixture components through entity composition analysis, and uses an integrated attribute mapping program to map the primary material components to their recycling value level; it also assesses the coexistence relationship between secondary components and primary components, evaluating chemical hazard or physical pollution risk. Based on preset weighting rules, it comprehensively determines the management attributes of the material flows, prioritizing those with high-value or high-risk attributes; and it groups material flows with highly similar combinations of management attributes into management units, forming the final classification result.

[0070] Example 3: Based on Example 2, the process for completing the transformation from physical components to management attributes provided by this embodiment of the invention includes the following steps:

[0071] S1021: The input to the integrated attribute mapping program is generated from a source that is clearly defined as the material flow and its structured composition data obtained after entity composition analysis; through two parallel attribute generation channels, the physical composition data is transformed into management attribute parameters for classification decisions.

[0072] S1022: First channel: Value attribute generation, processing the main material composition in structured composition data; identifying the chemical category and physical state of the main material, matching the combination of chemical category and physical state, outputting a benchmark value level of the main material under ideal conditions, introducing its current physical state as a correction factor, adjusting and calibrating the benchmark value level, and generating the final potential recycling value level.

[0073] The second channel: risk attribute generation, which processes the secondary component / inclusion component information in the structured component data and its coexistence relationship with specific main components; identifies the chemical properties and physical occurrence state of secondary components; analyzes the interaction potential between secondary components and specific main components, and determines whether there are risk pathways that lead to pollutant leaching, reaction or physical diffusion; based on the identified risk pathways and the concentration of hazardous substances, assesses the level of chemical hazard or physical pollution risk that they may cause, and finally aggregates them into a comprehensive risk level;

[0074] S1023: Through parallel processing of two channels, the physical structured component data is mapped into a set of core attribute parameters that can be used for management, namely value level and risk level.

[0075] Among them, the chemical category of the first channel, such as organic polymers, silicate-based inorganic substances, and metallic elements; physical state, such as bulk integrity, particle size distribution, and surface aging characteristics; ideal state, i.e., pure and unaged; and current physical state, such as aging and degree of fragmentation.

[0076] The second channel involves identifying chemical properties, such as whether it is a heavy metal compound, persistent organic pollutant, or other harmful substance; physical state, such as adhering to the aggregate surface or being independently mixed; and specific main components, such as asphalt and cement hydration products.

[0077] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first integrates the input of the attribute mapping program to generate a material flow with a clearly defined source and its structured component data obtained after entity component analysis; through two parallel attribute generation channels, the physical component data is transformed into management attribute parameters for classification decisions; secondly, the first channel, value attribute generation, processes the main material components in the structured component data; identifies the chemical category and physical state of the main material, matches the combination of chemical category and physical state, outputs a benchmark value level of the main material under ideal conditions, introduces its current physical state as a correction factor, adjusts and calibrates the benchmark value level downwards, and generates the final potential return. The system employs two main channels: a first channel for assessing the value of physical components; and a second channel for generating risk attributes. This channel processes secondary component / inclusion information from structured component data, considering their coexistence with specific host components. It identifies the chemical properties and physical state of secondary components, analyzes their interaction potential with specific host components, and determines whether there are risk pathways leading to pollutant leaching, reaction, or physical diffusion. Based on the identified risk pathways and hazardous substance concentrations, it assesses the potential chemical hazard level or physical pollution risk level, ultimately converging them into a comprehensive risk level. Finally, through parallel processing of these two channels, the physical structured component data is mapped into a set of core attribute parameters that can be used for management, namely, the value level and the risk level. This scheme constructs a standardized mapping system from physical components to management attributes. A dual-channel parallel processing mechanism achieves precise alignment between material properties and management needs: Unstructured material flows are transformed into structured component data through entity composition analysis, providing standardized input for attribute mapping; the first channel establishes a two-dimensional assessment of chemical composition and physical state, achieving quantitative characterization of material potential value through benchmark value level construction and dynamic calibration of state correction factors; the second channel employs a coupled analysis method of component coexistence relationships and interaction potential, establishing multi-factor risk quantification through a two-layer judgment logic of risk path identification and hazard assessment; the final output value level and risk level parameters form a standardized management attribute description framework. Its technical significance lies in: decoupling material physical properties from management decision parameters; establishing a scalable dual-channel attribute generation architecture; providing core assessment dimensions compatible with different management scenarios; and completing a reliable transformation from physical material to management decision support information through a progressive processing flow of structured analysis, parallel processing, and level quantification.

[0078] Example 4: Figure 4 As shown, based on Example 1, the process for obtaining grades such as Level 1, Level 2, and Level 3 with clear quality differences and corresponding processing recommendations provided by this embodiment of the invention includes the following steps:

[0079] S201: Extract a structured list of category characteristics for each type of solid waste, including density, particle size, content of hazardous substances and material performance indicators, and set a benchmark threshold for grade determination for each category characteristic;

[0080] S202: Based on the list of category characteristics, the current solid waste is actually measured to obtain the measured category characteristic data set. The category characteristic data set is compared with the benchmark threshold. The comparison simulates the technical feasibility and environmental safety of the current solid waste in various recycling paths and outputs the adaptability spectrum for different recycling paths.

[0081] S203: The suitability spectrum will be used as the basis for grade determination, prioritizing the matching of recycling paths with the highest technical threshold and the greatest resource value; if the suitability spectrum shows that the current solid waste can meet the greatest recycling path, it will be classified as Level 1; if it meets the medium or lower requirements of the recycling path, it will be classified as Level 2 or Level 3 respectively.

[0082] The working principle and beneficial effects of the above technical solution are as follows: First, this embodiment extracts a structured list of category characteristics for each type of solid waste, including density, particle size, content of hazardous substances, and material performance indicators, and sets a benchmark threshold for grade determination for each category characteristic; second, based on the list of category characteristics, the current solid waste is actually measured to obtain the measured category characteristic data set, and the category characteristic data set is compared with the benchmark threshold. The comparison simulates the technical feasibility and environmental safety of the current solid waste in various recycling paths, and outputs the fit degree spectrum for different recycling paths; finally, the fit degree spectrum is used as the basis for grade determination, and priority is given to matching the recycling path with the highest technical threshold and the greatest resource value; if the fit degree spectrum shows that the current solid waste can meet the largest recycling path, it is classified as Level 1; if it meets the medium or lower requirements of the recycling path, it is classified as Level 2 or Level 3 respectively. The aforementioned scheme establishes a technical framework for solid waste quality grading through threshold setting in a structured category characteristic list, comparison of the conformity of measured data with benchmark thresholds, and grading logic based on the fit spectrum. This framework achieves an objective assessment and grading of solid waste resource potential by quantifying the correlation between characteristic indicators and the feasibility and environmental safety of recycling pathways. Its core lies in using a systematic data matching mechanism to transform waste characteristic data into actionable criteria for prioritizing recycling, ensuring a positive correlation between grading results and resource value and technological thresholds.

[0083] Example 5: Based on Example 4, the process of determining the fit spectrum of the output for different regeneration paths provided in this embodiment of the invention includes the following steps:

[0084] S2021: For each recycling path, extract the limit tolerance range or minimum requirements of its process for the key characteristics of the type of solid waste, and construct a recycling path constraint matrix. Each row represents a recycling path, and each column corresponds to the constraint range of a characteristic parameter. The matrix elements are the specific requirement range of the recycling path for the key characteristics of the type of solid waste.

[0085] S2022: Compare the measured category characteristic data set of the current batch of waste with the recycling path constraint condition matrix row by row; for each row in the recycling path constraint condition matrix, the verification operation is to determine whether each characteristic value in the category characteristic data set falls within the value range of the constraint range of the corresponding characteristic specified by the row; the verification operation is repeated for all rows in the recycling path constraint condition matrix to generate a set of Boolean logic results, forming a preliminary path compliance set;

[0086] S2023: Based on the obtained preliminary path compliance set, a predefined regeneration path priority rule is introduced; the technical feasibility and environmental safety of recycled products are used as the ranking criteria, and all regeneration paths with true compliance results in the preliminary path compliance set are prioritized to form a priority adaptation spectrum from the optimal utilization scheme to the minimum requirement scheme.

[0087] The working principle and beneficial effects of the above technical solution are as follows: First, for each recycling path, the limit tolerance range or minimum requirements of its process for the key characteristics of the type of solid waste are extracted, and a recycling path constraint condition matrix is ​​constructed. Each row represents a recycling path, and each column corresponds to the constraint range of a characteristic parameter. The matrix elements are the specific requirement range of the key characteristics of the type of solid waste for the recycling path. Second, the measured category characteristic data set of the current batch of waste is compared row by row with the recycling path constraint condition matrix. For each row in the recycling path constraint condition matrix, the verification operation is to determine whether each characteristic value in the category characteristic data set falls within the value range of the constraint range of the corresponding characteristic specified by the row. The verification operation is repeatedly performed on all rows in the recycling path constraint condition matrix to generate a set of Boolean logic results, forming a preliminary path compliance set. Finally, based on the obtained preliminary path compliance set, a predefined recycling path priority rule is introduced. The technical feasibility and environmental safety of the recycled products are used as the sorting criteria, and the recycling paths with true compliance results in the preliminary path compliance set are prioritized to form a priority fit spectrum arranged sequentially from the optimal utilization scheme to the minimum requirement scheme. The above scheme achieves a structured expression of the relationship between key characteristics of different types of solid waste and recycling processes by systematically constructing a recycling path constraint matrix; it uses a row-by-row comparison mechanism to accurately match the measured waste data with the process tolerance range, generating Boolean logic screening results; and finally, it sorts feasible paths in both technical and environmental dimensions through priority rules, forming a decision-oriented recycling path suitability spectrum; it realizes the three-layer logical coupling of waste characteristic data, process constraints, and priority rules, providing a standardized evaluation framework for solid waste recycling path selection.

[0088] Example 6: Based on Example 5, the implementation process of the regeneration path priority rule provided in this embodiment of the invention includes the following steps:

[0089] S20231: From all feasible recycling paths included in the preliminary path compliance set, extract key attributes for comparing their priority. These key attributes are related to technical feasibility and environmental safety, specifically deconstructed into two dimensions: technical complexity level and environmental risk control level. The technical complexity level is determined by factors such as the recycling process's tolerance to fluctuations in raw material characteristics and the number of processing steps. The environmental risk control level is determined by factors such as the risk of pollutant release during the recycling process and the long-term environmental stability of the final product.

[0090] S20232: Calculate a comprehensive path priority index for each recycling path in the preliminary path compliance set based on key attributes, assigning different weights to technical feasibility and environmental safety, with technical feasibility having a higher weight than environmental safety; for each recycling path, the lower its technical complexity level, the higher its score in the dimension; the higher its environmental risk control level, the higher its score in the dimension; and weight the scores of the two dimensions to generate a priority index that can be compared numerically.

[0091] S20233: Using the obtained priority index, sort all feasible recycling paths in the preliminary path conformity set, with the path with the highest priority index ranked first, and output the fit spectrum.

[0092] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first extracts key attributes for comparing the priority of all feasible recycling paths included in the preliminary path compliance set. The key attributes are related to technical feasibility and environmental safety, specifically deconstructed into two dimensions: technical complexity level and environmental risk control level. The technical complexity level is determined by factors such as the recycling process's tolerance to fluctuations in raw material characteristics and the number of processing steps; the environmental risk control level is determined by factors such as the risk of pollutant release during recycling and the long-term environmental stability of the final product. Secondly, based on the key attributes, a comprehensive path priority index is calculated for each recycling path in the preliminary path compliance set, assigning different weights to technical feasibility and environmental safety, with technical feasibility having a higher weight than environmental safety. For each recycling path, the lower its technical complexity level, the higher its score in the dimension; the higher its environmental risk control level, the higher its score in the dimension. The scores of the two dimensions are weighted and superimposed to generate a priority index that can be numerically compared. Finally, the obtained priority index is used to rank all feasible recycling paths in the preliminary path compliance set, with the path with the highest priority index ranked first, and the fit spectrum is output. The above scheme decomposes technical feasibility and environmental safety into technical complexity level and environmental risk control level, and establishes a two-dimensional quantitative evaluation system for the priority of regeneration paths; based on the weight allocation and weighted superposition mechanism, discrete attributes are transformed into priority indices that can be compared numerically; finally, the objective priority division of feasible paths is achieved through index ranking; and a conversion method from qualitative attributes to quantitative decision-making is constructed to ensure that the generation of the fit spectrum simultaneously meets the optimization objectives of technical feasibility-driven and environmental safety-constrained.

[0093] Example 7: Based on Example 4, the process of prioritizing the matching of the regeneration path with the highest technical threshold and the greatest resource value provided by this embodiment of the invention includes the following steps:

[0094] S2031: Extract the recycling path with the highest priority in the fit spectrum, and analyze the limit or optimal value range required by the recycling path for the key characteristic indicators of solid waste; the key characteristic indicators are the highest technical threshold and resource value, which correspond to technical feasibility and environmental safety, respectively.

[0095] S2032: Perform a conformity check between the current measured category characteristic data set of solid waste and the parsed limit or optimal value range, determine whether all relevant characteristic values ​​in the measured category characteristic data set meet the requirements specified by the limit or optimal value range, and generate the accessibility determination of the highest priority recycling path;

[0096] S2033: Based on the accessibility determination, a level assignment operation is performed. If the determination is true, it indicates that the solid waste meets the highest requirements and is classified as Level 1. If the determination is false, the highest priority recycling path is removed from the fitness spectrum, and the second highest priority path in the fitness spectrum is automatically regarded as the new highest priority recycling path. The determination logic is repeated for a new round of verification. The process is iterated until a recycling path that is satisfied by the measured category characteristic data group is found. The first path corresponds to Level 1, the second path corresponds to Level 2, and so on.

[0097] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first extracts the recycling path with the highest priority in the fit spectrum, and analyzes the limit or optimal value range required by the recycling path for the key characteristic indicators of solid waste; the key characteristic indicators are the highest technical threshold and resource value, corresponding to technical feasibility and environmental safety, respectively; secondly, the current measured category characteristic data set of solid waste is checked for conformity with the analyzed limit or optimal value range to determine whether all relevant characteristic values ​​in the measured category characteristic data set meet the requirements specified by the limit or optimal value range. The system determines the accessibility of the highest priority recycling path. Based on this accessibility, a level assignment operation is performed. If the determination is true, it indicates that the solid waste meets the highest requirements and is classified as Level 1. If the determination is false, the highest priority recycling path is removed from the fitness spectrum, and the second-highest priority path in the fitness spectrum is automatically considered the new highest priority recycling path. The determination logic is repeated for a new round of verification. This process iterates until a recycling path that meets the measured category characteristic data group is found. The first path corresponds to Level 1, the second path to Level 2, and so on. The above scheme establishes a matching mechanism between solid waste characteristic data and resource recovery path technical thresholds by analyzing the limit or optimal value range of key characteristic indicators of the highest priority path; it achieves dynamic comparison between measured data and path requirements through compliance verification, forming a binary logic output for accessibility determination; it constructs a top-down path selection algorithm based on grade assignment and iterative removal to ensure that the final matching result strictly follows the principle of descending order of technical thresholds; and it forms a closed-loop path optimization system, the core of which lies in dynamically adjusting the adaptation target through a cyclic verification mechanism to achieve a balance between the goal of maximizing resource recovery value and technical feasibility constraints.

[0098] Example 8: As Figure 5 As shown, based on Example 1, the process for obtaining a unique identifier provided in this embodiment of the invention includes the following steps:

[0099] S301: Based on the preset category-letter mapping table, convert solid waste categories into unique category letter codes; use subdivision levels as level number codes; standardize the raw time data in year-month format to generate time identification codes; convert the raw location data into specified project or area codes to generate location identification codes, and output a set of basic coding elements;

[0100] S302: According to the predefined coding structure rules, the basic coding elements are assembled in order and with delimiters. The coding structure rules fix the position of each basic coding element in the structured coding sequence, thus generating a structured coding sequence.

[0101] S303: Compare the structured coded sequence with the existing identifiers in information management and perform a uniqueness check; if there is no duplicate, the structured coded sequence is confirmed as a unique identifier; if a duplicate is found, the duplicate code handling mechanism is triggered, and a more precise timestamp or sequence number is added to the time identifier to distinguish it until the identifier is unique.

[0102] The working principle and beneficial effects of the above technical solution are as follows: First, based on a preset category-letter mapping table, solid waste categories are converted into unique category letter codes; subdivision levels are used as level numerical codes; raw time data is standardized according to year and month format to generate time identifier codes; raw location data is converted into specified project or area codes to generate location identifier codes, outputting a set of basic coding elements; second, according to predefined coding structure rules, the basic coding elements are assembled using sequence and separators, with the coding structure rules fixing the position of each basic coding element in the structured coding sequence, generating a structured coding sequence; finally, the structured coding sequence is compared with existing identifier codes in information management to perform uniqueness verification; if no duplicates are found, the structured coding sequence is confirmed as a unique identifier code; if duplicates are found, a duplicate code handling mechanism is triggered, adding a more precise timestamp or sequence number to the time identifier code for differentiation, until the identifier code is unique. The above solution constructs a structured, standardized, and unique identifier code generation system; through preset mapping rules, unstructured category, level, time, and location raw data are converted into standardized coding elements, ensuring the uniformity of the input data format. Based on fixed coding rules, discrete coding elements are combined with delimiters in a predetermined order to form a structured sequence with clear semantic hierarchy and positional relationship; coding conflicts are detected through comparison and verification mechanism, and repeated coding is dynamically adjusted by incremental timestamps or sequence numbers to ensure the absolute uniqueness of the output identification code in the management system; the determinism, parsability and uniqueness of the identification code in the generation stage are realized.

[0103] Example 9: Based on Example 8, the process for generating a structured coded sequence provided in this embodiment of the invention includes the following steps:

[0104] S3021: According to the predefined coding structure rules for the arrangement order of each coding element in the structured coding sequence, the arrangement order is: category coding first, followed by level coding, time identifier and location identifier; according to the coding structure rules, each coding element in the basic coding element set is assigned a sequence position, that is, the absolute position index of each coding element in the structured coding sequence is determined, and the element-position association mapping is output.

[0105] S3022: Extract the string value of each encoded element from the element-position association mapping in ascending order of absolute position index; insert a predefined separator between every two adjacent encoded elements; concatenate the discrete element strings into a continuous preliminary sequence string;

[0106] S3023: Compare the initial sequence string with the sequence template defined in the encoding structure rules to check whether it fully conforms to the requirements of the encoding structure rules, including the number of elements, order, use of delimiters, and format of each element string, and output a structured encoded sequence that conforms to the encoding structure rules.

[0107] The working principle and beneficial effects of the above technical solution are as follows: First, this embodiment uses a predefined coding structure rule to determine the order of each coding element in the structured coding sequence. The order is: category coding first, followed by level coding, time identifier, and location identifier. Based on the coding structure rule, each coding element in the basic coding element set is assigned a sequence position, i.e., the absolute position index of each coding element in the structured coding sequence is determined, and an element-position association mapping is output. Second, the string value of each coding element is extracted sequentially from the element-position association mapping according to the absolute position index from low to high. A predefined separator is inserted between every two adjacent coding elements. The discrete element strings are concatenated into a continuous preliminary sequence string. Finally, the preliminary sequence string is compared with the sequence template defined in the coding structure rule to check whether it fully conforms to the requirements of the coding structure rule, including the number of elements, order, use of separators, and the format of each element string, and a structured coding sequence conforming to the coding structure rule is output. This solution, through a predefined arrangement order rule, forces various coding elements to be assigned absolute position indices according to the priority of category, level, time, and location, ensuring the predictability and consistency of the sequence structure. Deterministic extraction of encoded elements is achieved based on position indexing. By standardizing the insertion of delimiters, discrete elements are converted into continuous strings with clear boundary markers, avoiding ambiguity in element parsing. A template comparison mechanism forces verification that the generated sequence completely matches predefined rules in terms of element quantity, order, delimiters, and format, eliminating structural deviations or omissions. This embodiment ensures that the output sequence strictly follows preset structural rules through sequence constraints, symbolic concatenation, and closed-loop verification, thereby meeting the operability requirements of encoding in storage, parsing, and uniqueness verification.

[0108] Example 10: Based on Example 9, the process of concatenating discrete element strings into a continuous preliminary sequence string provided by this embodiment of the invention includes the following steps:

[0109] S30221: Based on the absolute position index information contained in the element-position association mapping, perform a sorting operation to arrange all coded elements in ascending order according to their corresponding absolute position index values; transform the originally unordered element-position association mapping into an ordered list of coded elements with element order.

[0110] S30222: Initialize an empty temporary sequence builder, traverse the ordered list of encoded elements; for each encoded element in the ordered list, perform the following operations: append the string value of the encoded element to the temporary sequence builder; determine if the encoded element is the last element in the ordered list; if not, insert a predefined separator into the temporary sequence builder after appending the string value; output a sequence of element values ​​with the separator inserted.

[0111] S30223: Concatenate the encoded element strings and delimiters in the element value sequence into a single and continuous initial character sequence string in their existing order.

[0112] The working principle and beneficial effects of the above technical solution are as follows: First, based on the absolute position index information contained in the element-position association mapping, a sorting operation is performed to arrange all encoded elements in ascending order according to their corresponding absolute position index values; the originally unordered element-position association mapping is converted into an ordered list of encoded elements; second, an empty temporary sequence builder is initialized, and the ordered list of encoded elements is traversed; for each encoded element in the ordered list of encoded elements, the following operations are performed: the string value of the encoded element is appended to the temporary sequence builder; it is determined whether the encoded element is the last element in the ordered list of encoded elements; if it is not the last element, after appending the string value, a predefined separator is inserted into the temporary sequence builder; a sequence of element values ​​with the inserted separator is output; finally, the encoded element strings and separators in the element value sequence are concatenated into a single and continuous initial sequence character string according to their existing order. The above scheme achieves ordered concatenation and symbol normalization embedding of discrete encoded elements; through absolute position index sorting, the original unordered element-position mapping is transformed into a list strictly arranged in ascending index order, ensuring that the element order is completely consistent with the encoding structure rules; based on the incremental concatenation mechanism of the temporary sequence builder, element values ​​are appended sequentially and delimiters are dynamically inserted to ensure the accurate positioning of delimiters between elements and avoid omissions or redundancy; through the final concatenation step, the sequence of element values ​​with delimiters is transformed into a continuous string without interruption, ensuring that the output format meets the input requirements of subsequent template comparison.

[0113] In summary, this embodiment ensures that discrete elements are converted into a continuous sequence with a clear structure and well-defined boundaries by using index-driven sorting, conditional symbol insertion, and linear concatenation, thus providing a fundamental guarantee for the integrity and parsability of structured coding.

[0114] Example 11: Based on Example 10, the process of inserting a predefined delimiter into a temporary sequence builder provided in this embodiment of the invention includes the following steps:

[0115] S302221: Append the string value of the first encoded element in the ordered encoded element list to the temporary sequence builder; at the same time, create a current processing state flag to record the order position of the currently processed encoded element in the ordered encoded element list; complete the initialization of the temporary sequence builder construction, and output the initialized temporary sequence builder state containing the content of the first encoded element;

[0116] S302222: Based on the position indicated by the current processing status flag, obtain the next encoded element in the ordered encoded element list; append the string value of the encoded element to the temporary sequence builder, and perform interval logic judgment: determine whether it is the last element based on the order position of the encoded element in the ordered encoded element list; this judgment operation generates an interval trigger instruction: if the judgment result is not the last element, the instruction is to insert a separator; if it is the last element, the instruction is not to perform the operation.

[0117] S302223: Perform operations based on the generated interval trigger instruction. If the interval trigger instruction is to insert a delimiter, then append a predefined delimiter to the temporary sequence builder, update the current processing status flag to point to the next element in the ordered encoded element list; repeat the interval logic judgment until all encoded elements in the ordered encoded elements have been processed; output a sequence of element values ​​with inserted delimiters.

[0118] The working principle and beneficial effects of the above technical solution are as follows: First, the string value of the first encoded element in the ordered encoded element list is appended to the temporary sequence builder. Simultaneously, a current processing state flag is created to record the sequential position of the currently processed encoded element in the ordered encoded element list. The initialization of the temporary sequence builder is completed, and the initialized temporary sequence builder state containing the content of the first encoded element is output. Next, based on the position indicated by the current processing state flag, the next encoded element in the ordered encoded element list is obtained. The string value of the encoded element is appended to the temporary sequence builder, and an interval logic judgment is performed: based on the sequential position of the encoded element in the ordered encoded element list, it is determined whether it is the last element. This judgment operation generates an interval trigger instruction: if the judgment result is not the last element, the instruction is to insert a separator; if it is the last element, the instruction is not to perform the operation. Finally, the operation is performed according to the generated interval trigger instruction. If the interval trigger instruction is to insert a separator, a predefined separator is appended to the temporary sequence builder, and the current processing state flag is updated to point to the next element in the ordered encoded element list. Repeated interval logic checks are performed until all encoded elements in the ordered encoded elements have been processed; a sequence of element values ​​with inserted separators is output. The above scheme achieves dynamic incremental construction and conditional separator embedding of the encoded element sequence. Specifically, it involves: initially constructing a temporary sequence by appending the first element and establishing a processing state flag, ensuring subsequent operations are based on a defined initial state; sequentially acquiring and appending elements according to the state flag, dynamically generating separator insertion instructions based on interval logic checks, ensuring that non-last elements strictly follow the separator embedding rules, while the last element has no redundant symbols; precisely controlling the incremental appending of separators according to the interval trigger instructions, synchronously updating the processing state flags to maintain traversal progress, forming a closed-loop processing flow until all list elements have been processed.

[0119] In summary, this embodiment achieves on-demand insertion of delimiters and maintenance of sequence continuity through a state flag-driven conditional judgment mechanism, ensuring that the output element value sequence has both correct order and standard symbol, thus meeting the splicing requirements of structured encoding.

[0120] Example 12: Based on Example 11, the process of updating the current processing state flag to point to the next element in the ordered encoded element list provided by this embodiment of the invention includes the following steps:

[0121] S3022231: Input interval logic judgment generates interval trigger instruction. When its content is an insert delimiter, the interval trigger instruction is confirmed to be valid. The string form of the delimiter is obtained from the predefined encoding structure rules, and a valid append operation instruction set is output.

[0122] S3022232: Appends the specified delimiter string to the end of the current temporary sequence builder content according to the append operation instruction set; changes the internal state of the temporary sequence builder, expands its content, and outputs an updated temporary sequence builder content state;

[0123] S3022233: Increase the position of the processing status flag by one unit, making it point to the next element in the ordered coded element list, and output the updated processing status flag.

[0124] The working principle and beneficial effects of the above technical solution are as follows: First, this embodiment inputs the interval trigger instruction generated by the interval logic judgment. When its content is an inserted delimiter, the interval trigger instruction is confirmed to be valid. The string form of the delimiter is obtained from the predefined encoding structure rules, and a valid append operation instruction set is output. Second, according to the append operation instruction set, the specified delimiter string is appended to the end of the current temporary sequence builder content. The internal state of the temporary sequence builder is changed, expanding its content, and an updated temporary sequence builder content state is output. Finally, the indicator position of the processing status flag is increased by one unit, pointing to the next element in the ordered encoding element list, and the updated processing status flag is output. The above solution achieves coordinated updating of delimiter insertion and processing status flags, specifically: Based on the interval trigger instruction, valid operations are filtered, and an append operation instruction set is generated in conjunction with predefined delimiter rules to ensure that the delimiter insertion behavior conforms to the structural specifications; the instruction set drives the delimiter to be appended to the end of the temporary sequence, synchronously updating the builder's internal state and maintaining real-time consistency between the sequence content and the operation; the indicator position of the processing status flag is incremented to strictly align with the next element to be processed, providing an accurate traversal benchmark for the interval logic judgment.

[0125] In summary, this embodiment ensures the atomicity of delimiter embedding and sequence construction through a closed-loop mechanism of instruction-operation-mark linkage, while ensuring the precise progression of processing state markers, thereby achieving efficient and complete processing of ordered encoded element lists.

[0126] Example 13: Based on Example 12, the process of outputting an updated temporary sequence builder content state provided by this embodiment of the invention includes the following steps:

[0127] S30222321: Parse the append operation instruction set and extract the delimiter string to be appended contained therein; at the same time, read the string value of the current temporary sequence builder content state and output the complete content block to be concatenated. The complete content block is composed of the current builder content and the delimiter to be appended in sequence.

[0128] S30222322: Concatenates the two components of the complete content block, namely the current builder content string and the delimiter string, in their inherent order to produce a new string sequence.

[0129] S30222323: Clear the internal storage content of the temporary sequence builder and completely replace the original content with a new string sequence; complete the update of the internal state of the temporary sequence builder, and output the updated temporary sequence builder content state, which is the expanded new content.

[0130] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first parses the append operation instruction set and extracts the delimiter string to be appended; simultaneously, it reads the string value of the current temporary sequence builder content state and outputs the complete content block to be concatenated, which is composed of the current builder content and the delimiter to be appended in sequence; secondly, it connects the two components in the complete content block, namely the current builder content string and the delimiter string, according to their inherent order to generate a new string sequence after concatenation; finally, it clears the internal storage content of the temporary sequence builder and completely replaces the original content with the new string sequence; the internal state of the temporary sequence builder is updated, and the updated temporary sequence builder content state is output, which is the expanded new content. The above scheme achieves atomic updates and state consistency maintenance of the temporary sequence builder content. Specifically, it extracts the delimiter to be appended by parsing the append operation instruction set and generates a complete content block by combining it with the current builder content, ensuring that the input data of the concatenation operation is complete and ordered; it performs string concatenation operation based on the inherent order of the content block to generate a new sequence that meets the requirements of the encoding structure, avoiding interference from intermediate states or data misalignment; and it ensures atomic switching of the internal storage state of the builder by clearing the old content and writing it completely into the new sequence, so that the output state strictly reflects the latest concatenation result.

[0131] In summary, this embodiment ensures that the update process of the temporary sequence builder content has transactional characteristics through a chain operation of parsing-concatenation-replacement, and the final output content state is always synchronized with the logical order of the encoded elements and the delimiter embedding rules.

[0132] Example 14: As Figure 6 As shown, based on Examples 1-13, the classification, grading, and coding rules for engineering solid waste are as follows: Figure 7 As shown in the figure; the classification, grading, and coding method for multi-source solid waste in highway engineering reconstruction and expansion provided by this embodiment of the invention includes the following steps:

[0133] 1. Classification steps

[0134] Based on their different sources, compositions, hazards, and recycling value, solid waste from basic highway engineering projects is classified into the following main categories:

[0135] RAP material refers to old pavement material that has been removed from old asphalt pavement by a milling machine.

[0136] Concrete waste includes construction waste concrete, waste from old concrete pavements, etc.

[0137] Steel reinforcement waste includes steel reinforcement discarded during construction and steel reinforcement waste after the demolition of road structures.

[0138] Fly ash: A major solid waste discharged from coal-fired power plants, its main oxide components are SiO2, Al2O3, FeO, Fe2O3, CaO, TiO2, etc. It can be used as an admixture in concrete.

[0139] Other solid waste includes wood waste, rubber waste, glass waste, etc.

[0140] 2. Grading steps

[0141] Based on the physical and chemical properties of each category of solid waste, it is further subdivided into different grades. Appropriate treatment and recycling methods are matched according to each grade to save costs. The specific grading standards are as follows:

[0142] Asphalt mixture waste: Whether the asphalt mixture contains a large amount of impurities such as soil, gravel, concrete fragments, and debris. The aging degree, viscosity, penetration, and softening point of the asphalt in the waste directly affect the feasibility of recycling. The strength, particle size distribution, and weathering degree of the aggregates in the waste determine whether it can be used as high-quality recycled aggregate.

[0143] Specific grading indicators:

[0144] Level 1: High recycling value, low pollution.

[0145] Characteristics: Low impurity content (e.g., <5%); major pollutants are not exceeding the standard or are far below the safety threshold; asphalt performance indicators (penetration, softening point, ductility, etc.) are close to those of new asphalt, and aggregate performance is good; production areas are concentrated, collection methods are standardized, and it is convenient for unified transportation and reprocessing.

[0146] Treatment recommendations: It can be used directly as a raw material for high-proportion recycled hot-mix asphalt mixtures; or after simple treatment (such as screening and impurity removal), it can be used for asphalt recycling agent formulation.

[0147] Level 2: Medium recycling value, requires appropriate disposal.

[0148] Characteristics: Moderate impurity content (e.g., 5%~15%); slight or localized contamination exists, with some pollutant content not exceeding the hazardous waste identification standards; asphalt performance is obviously aged or aggregate abrasion value is high, requiring appropriate addition of new asphalt or recycling agent, or modification treatment before reuse; there is some mixing during collection or stacking, requiring sorting or preliminary decontamination.

[0149] Treatment recommendations: First, perform screening, impurity removal, and pretreatment of contaminants (such as cleaning oil stains and partially replacing severely contaminated material blocks); appropriately increase the amount of new asphalt or recycling agent during the recycling process. This can be used as pavement material for medium- and low-grade highways or temporary roads, and can also be used to mix recycled hot / cold recycled mixtures in certain scenarios. Level 3: Contains waste with low recycling value or high pollution, making recycling difficult.

[0150] Level 3: Low recycling value or high pollution

[0151] Characteristics: High impurity content (>15%), mixed with a large amount of other construction waste, domestic waste, etc.; contains excessive levels of harmful pollutants (such as polycyclic aromatic hydrocarbons, heavy metals, chemical solvent residues, etc.), meeting or approaching the identification conditions for hazardous waste; the properties of asphalt and aggregates are severely degraded or broken, making it difficult to separate and regenerate them economically and feasiblely.

[0152] Handling Recommendations: If hazardous waste is involved, it should comply with regulations such as the "Standard for Pollution Control of Hazardous Waste Storage" and be isolated and sealed. If necessary, professional environmental disposal methods (such as incineration or co-processing in cement kilns) should be adopted. For waste that does not yet constitute hazardous waste but has extremely low recycling value and excessively high processing costs, landfilling, subgrade construction, or other low-value reuse methods may be implemented depending on the actual situation (ensure environmental protection requirements are met and relevant departmental permits are obtained).

[0153] Concrete waste: Types and content of hazardous substances during recycling: Whether the content of heavy metals (such as lead, cadmium, mercury, chromium, etc.) exceeds the standard; whether organic pollutants (such as volatile organic compounds, polycyclic aromatic hydrocarbons, etc.) are present; whether the content of radioactive substances exceeds the limits for building materials; whether other hazardous additives (such as those containing fluorine, chlorides, etc.) are abnormal. Aggregate quality and residual characteristics of cement paste: Whether the strength, particle size, particle shape, etc. of the crushed aggregate meet the requirements for the use of recycled aggregate; the impact of weathering and carbonization on aggregate performance. Source and batch stability: Through on-site investigation, construction records, demolition project data and transportation ledgers, understand the source, usage history, and possible chemical pollution of concrete waste; based on the scale of the stockpile, batch, and other information, determine whether it is necessary to classify storage and batch testing; demolition concrete from general civil buildings usually has relatively few hazardous substances; concrete waste from industry, chemical industry or with special usage history often has pollution risks and needs to be tested in detail; centralized stockpiling of large volumes can make recycling more economical, while small and scattered volumes should be disposed of in conjunction with the urban solid waste collection and transportation system.

[0154] Specific grading indicators:

[0155] Level 1: Contains little or no harmful substances and can be directly recycled.

[0156] Characteristics: The test indicators show that the content of harmful substances is far below the relevant limits; after simple crushing and screening, the performance of recycled aggregate (such as strength, gradation, and content of needle-like and flaky particles) can meet the requirements of recycled concrete, highway base course or subbase materials; the source is relatively single and stable, and it is not mixed with other highly polluting waste.

[0157] Processing recommendations: Direct use in recycled aggregates: After crushing and screening, recycled concrete can be prepared at commercial concrete mixing plants or precast component factories, or used in highway base courses or building foundation subbases; if further quality improvement is needed, its added value can be further enhanced through fineness adjustment and impurity removal processes.

[0158] Level 2: Contains small amounts of harmful substances and requires purification treatment before reuse.

[0159] Characteristics: Some test indicators are close to or slightly exceed the conventional limits, but do not meet the standards for hazardous waste; may contain slight heavy metal residues, organic pollution, or excessive radioactive elements; the physical and mechanical properties of recycled aggregates are acceptable, but chemical or radioactive indicators need to be appropriately purified or diluted.

[0160] Treatment recommendations: Purification / pretreatment: Reduce the content of harmful substances through physical sorting (magnetic separation, flotation, rinsing), chemical stabilization or rinsing; Application restrictions: After appropriate upgrading, it can be used in non-sensitive building parts (such as highway base); If used as structural recycled concrete aggregate, further testing is required to ensure that it meets the durability and safety requirements; Pay attention to the prevention and control of secondary pollution during collection, storage and transportation.

[0161] Level 3: Contains a large amount of hazardous substances, requires harmless treatment, and is not suitable for reuse.

[0162] Characteristics: The test results far exceed the hazardous waste identification standards, such as serious exceedances of heavy metals, radioactivity, and toxic and harmful organic substances; the source is complex, such as the demolition of chemical projects, or long-term exposure to special pollution; the aggregate itself may be severely weathered and pulverized, or contain many impurities, making separation and purification economically feasible.

[0163] Recommendations for handling: Harmless treatment: If the waste is classified as or close to being hazardous waste, it should be handed over to a qualified unit for safe landfill, co-processing in a cement kiln, or other professional treatment in accordance with regulations such as the "Standard for Pollution Control of Hazardous Waste Storage". If it is only locally highly polluted, the severely polluted part should be separated and disposed of separately, and the remaining part should be downgraded or upgraded for reuse based on the test results. Strengthen the anti-seepage, dust prevention, and anti-diffusion measures during transportation and storage, and manage it as hazardous materials or special waste.

[0164] 3. Encoding Steps

[0165] According to unified coding rules, a unique identifier code is assigned to each category and its corresponding level. The coding rules are as follows:

[0166] Category coding: Letters are used to indicate the physicochemical properties and sources of solid waste.

[0167] For example, A, R, I, and M indicate that the source of solid waste is construction, highways, industry, or mining;

[0168] H and N represent harmful and harmless, and R and U represent recyclable and non-recyclable.

[0169] P, G, B, and L represent powder, granules, lumps, and liquid, respectively.

[0170] Level coding: The specific level is represented by numbers, such as 1 for level 1, 2 for level 2, and 3 for level 3.

[0171] Time identifier: The year and month are used to indicate the time when solid waste was generated, such as 202501 indicating January 2025.

[0172] Location identification: Use area codes or construction project codes to indicate the location where solid waste is generated.

[0173] For example, R-HU-G-202501-001 indicates Class I asphalt mixture waste generated in January 2025 during construction project 001.

[0174] 4. Information Management System

[0175] To achieve efficient management of solid waste information, this invention provides an information management system with the following specific functions:

[0176] Data collection: The classification and grading information of solid waste is automatically collected through technologies such as barcode scanning and RFID.

[0177] Data storage: A cloud database is used to store and back up solid waste information in real time, ensuring data security and accessibility.

[0178] Data Management: Provides a user-friendly interface that supports data querying, statistics, analysis, and report generation.

[0179] Traceability function: Based on the coded information, the entire process of solid waste can be traced, which facilitates supervision and management by managers.

[0180] The specific applications of the present invention will be further illustrated below with reference to the embodiments.

[0181] In a highway construction project, the solid waste classification, grading, and coding strategy of this invention was adopted for solid waste management. Asphalt mixture waste generated during construction was classified and subjected to grading, screening, and mass testing in the laboratory. The results showed that the impurity content was 3.2% (by mass), less than 5%, which meets the impurity content requirements for "Level 1 Waste" (impurity content <5%).

[0182] Following the extraction test, samples were taken and subjected to routine performance testing of the asphalt. The results are as follows:

[0183] Penetration (25 °C, 100 g, 5 s): 51 (0.1 mm);

[0184] Softening point: 49.2 ℃;

[0185] Ductility (5 ℃): 12.0 cm;

[0186] Viscosity (135 °C): 0.40 Pa·s;

[0187] The penetration rate, compared to new asphalt, shows a decline that meets the national standard for No. 70 asphalt (within the range of 60-80 (0.1 mm)). The softening point increase is only 6% (the lowest softening point of No. 70 asphalt is 46 ℃). The asphalt aging degree has not reached the level requiring extensive modification or recycling agents for recovery, and all data are within the range for conventional road asphalt; therefore, it meets the limits for asphalt performance degradation in Class I waste.

[0188] The aggregates obtained from crushed waste asphalt mixtures were tested using the Los Angeles abrasion test, crushing value test, and flaky / needle content test, with a focus on the following indicators:

[0189] Los Angeles wear value (measured at 500 rpm) mass loss: 14%;

[0190] Crushing value: 9%;

[0191] Needle-like and flaky particles content: 4.7%;

[0192] The Los Angeles abrasion value requirement is below 20%, and here it is only 14%, indicating that the aggregate has good abrasion resistance; a crushing value of 9% is usually considered to be of high strength (generally required not to exceed 20%, depending on design requirements); and a needle-like and flaky content of less than 5% indicates that the aggregate has good particle shape.

[0193] In summary, the aggregate strength and shape indicators meet the requirements for high-proportion recyclability of "Class I waste." The impurity content is <5%, and after routine asphalt performance, aggregate strength, and shape testing, all results are within the acceptable range for conventional road use or recycling. No excessive levels of harmful chemical pollutants were detected. Therefore, this batch of asphalt mixture waste is classified as "Class I waste" and can be directly used for high-proportion hot-mix recycling or other high-value-added recycling applications. It can be used for asphalt recycling agent formulation after simple screening, assigned the code R-HU-G-202501-001, and entered into the historical database.

[0194] Subsequent similar asphalt mixture waste can be directly compared with solid waste data in the database by taking photos to determine the waste grade and its recycling method. Through the information management system, the above-mentioned coding information is entered and managed, allowing construction units to monitor the classification, grading, and treatment status of solid waste in real time. This ensures the rational utilization and environmentally friendly treatment of solid waste, improves solid waste management efficiency, and reduces the risk of environmental pollution. Specific examples of solid waste classification, grading, and coding are provided below.

[0195] Basic parameters

[0196] Name: Slag Powder; Code: 1-05-NR-P; Solids Source: Industrial

[0197] Field parameters

[0198] Source of the scene: Shanghai-Chongqing Expressway Huangmei to Huangshi section reconstruction and expansion project;

[0199] 10 tons recycled

[0200] Basic information: Silicate melt formed by the reaction of impurities such as silicon dioxide (SiO2) and aluminum oxide (ALO) with calcium oxide (CaO) and magnesium oxide (MgO) in the solvent;

[0201] Solid waste characteristics: harmless, recyclable solid particles;

[0202] Sampling equipment: cameras and other image acquisition devices;

[0203] Recycling standard: GB / T 203-2008;

[0204] Application Recommendations: It can be used as an additive in cement and concrete. After certain crushing, the slag can be used as a material for road base and subbase construction, offering better flatness than mixed rubble foundations. A portion of the slag is porous, providing some insulation. Additionally, in areas with high water tables, it can retain water, enhancing roadbed stability and preventing frost heaving. Construction is simple and not limited by season, especially convenient than lime-soil construction during the rainy season.

[0205] This embodiment addresses the problems of unregulated solid waste management and low recycling rates. This strategy employs a systematic approach to scientifically classify and grade solid waste from highway engineering projects based on its source, composition, hazardousness, and recycling value, and uses a unified coding system for identification, thereby achieving standardization and informatization of solid waste management.

[0206] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of equivalents of this invention, this invention is also intended to include these modifications and variations.

Claims

1. A method for classifying, grading, and coding multi-source solid waste from highway engineering reconstruction and expansion, characterized in that, Includes the following steps: Multi-source solid waste from highway engineering is processed through a classification process based on source, composition, hazard, and recycling value to obtain well-defined solid waste categories; For each category of solid waste, an in-depth evaluation and subdivision are conducted based on its density, particle size, content of hazardous substances, and specific characteristics of material performance indicators; resulting in Level I, Level II, and Level III grades with clear quality differences and corresponding treatment recommendations; Solid waste categories are coded with letters, grades with numbers, and the time and location of generation are combined according to a unified rule to obtain a unique identification code; The process of obtaining Level 1, Level 2, and Level 3 ratings with clearly defined quality differences and corresponding handling recommendations includes the following steps: Extract a structured list of category characteristics for each type of solid waste, including density, particle size, content of hazardous substances, and material performance indicators, and set a benchmark threshold for grade determination for each category characteristic; Based on the list of category characteristics, actual measurements are taken of the current solid waste to obtain the measured category characteristic data set. The category characteristic data set is then compared with the benchmark threshold. The comparison simulates the technical feasibility and environmental safety of the current solid waste in various recycling paths, and outputs the adaptability spectrum for different recycling paths. The suitability spectrum is used as the basis for classification, prioritizing the matching of recycling paths with the highest technical threshold and the greatest resource value; if the suitability spectrum shows that the current solid waste can meet the highest recycling path, it is classified as Level 1; if it meets the medium or lower requirements of the recycling path, it is classified as Level 2 or Level 3 respectively. The process of obtaining a unique identifier includes the following steps: Based on the preset category-letter mapping table, solid waste categories are converted into unique category letter codes; subdivision levels are used as level number codes; raw time data is standardized in year and month format to generate time identification codes; raw location data is converted into specified project or area codes to generate location identification codes, and a set of basic coding elements is output. According to the predefined encoding structure rules, the basic encoding elements are assembled in order and with delimiters. The encoding structure rules fix the position of each basic encoding element in the structured encoding sequence, thus generating a structured encoding sequence. The structured coded sequence is compared with the existing identifiers in information management to perform a uniqueness check; if there is no duplicate, the structured coded sequence is confirmed as a unique identifier. If a duplicate is found, the duplicate code handling mechanism is triggered, and a more precise timestamp or sequence number is added to the time identifier code for differentiation until the identifier code is unique.

2. The classification, grading, and coding method for multi-source solid waste in highway engineering reconstruction and expansion as described in claim 1, characterized in that, The process of obtaining a well-defined solid waste category includes the following steps: The physical accumulation state of multi-source solid waste from highway engineering is identified, and the first layer of separation is carried out based on the specific operation type in which it is generated. Using the operation type as the direct criterion, the multi-source solid waste from highway engineering is initially divided into several material flows with clear source orientation. The material flow is analyzed for its physical composition, which distinguishes the material composition into main material components and secondary or impurity components. The results of the physical composition analysis are then imported into an integrated attribute mapping program: the type and state of the main material components are mapped to their potential recycling value level; while the coexistence relationship between secondary components and specific main components is used to assess their potential chemical hazards or physical pollution risks, thus completing the transformation from physical composition to management attributes. Based on the management attributes of each material flow, a comprehensive judgment is made using preset weighting rules, and material flows with significant high value or clear high-risk attributes are assigned higher category differentiation weights. Material flows with highly similar management attributes are grouped together to form management units.

3. The classification, grading, and coding method for multi-source solid waste in highway engineering reconstruction and expansion as described in claim 1, characterized in that, The process of outputting the fitness spectrum for different regeneration paths includes the following steps: For each recycling path, extract the limit tolerance range or minimum requirements of its process for the key characteristics of the type of solid waste, and construct a recycling path constraint matrix. Each row represents a recycling path, and each column corresponds to the constraint range of a characteristic parameter. The matrix elements are the specific requirement range of the recycling path for the key characteristics of the type of solid waste. The measured category characteristic data set of the current batch of waste is compared row by row with the recycling path constraint condition matrix. For each row in the recycling path constraint condition matrix, the verification operation is to determine whether each characteristic value in the category characteristic data set falls within the value range of the corresponding characteristic specified by the row. The verification operation is performed repeatedly on all rows of the regenerated path constraint matrix, producing a set of Boolean logic results and forming a preliminary path compliance set. Based on the obtained preliminary path compliance set, a predefined recycling path priority rule is introduced; the technical feasibility and environmental safety of recycled products are used as the ranking criteria, and all recycling paths with true compliance results in the preliminary path compliance set are prioritized to form a priority adaptation spectrum that is arranged sequentially from the optimal utilization scheme to the minimum requirement scheme.

4. The method for classifying, grading, and coding multi-source solid waste in highway engineering reconstruction and expansion as described in claim 1, characterized in that, The process of generating a structured coded sequence includes the following steps: Based on the predefined coding structure rules for the arrangement order of each coding element in the structured coding sequence, the sequence position assignment is performed on each coding element in the basic coding element set according to the coding structure rules, that is, the absolute position index of each coding element in the structured coding sequence is determined, and the element-position association mapping is output. Extract the string value of each encoded element from the element-position association map in ascending order of absolute position index; insert a predefined separator between every two adjacent encoded elements; and concatenate the discrete element strings into a continuous preliminary sequence string. The initial sequence string is compared with the sequence template defined in the encoding structure rules to check whether it fully meets the requirements of the encoding structure rules, and the structured encoding sequence that conforms to the encoding structure rules is output.

5. The method for classifying, grading, and coding multi-source solid waste in highway engineering reconstruction and expansion as described in claim 4, characterized in that, The process of concatenating discrete element strings into a continuous preliminary sequence string includes the following steps: Based on the absolute position index information contained in the element-position association mapping, a sorting operation is performed to arrange all coded elements in ascending order according to their corresponding absolute position index values; the originally unordered element-position association mapping is transformed into an ordered list of coded elements with element order. Initialize an empty temporary sequence builder, iterate through the ordered list of encoded elements; for each encoded element in the ordered list, perform the following operations: append the string value of the encoded element to the temporary sequence builder; determine if the encoded element is the last element in the ordered list; if not, insert a predefined separator into the temporary sequence builder after appending the string value; output a sequence of element values ​​with the separator inserted. The encoded element strings and delimiters in the element value sequence are concatenated into a single and continuous initial character string in their existing order.

6. The method for classifying, grading, and coding multi-source solid waste in highway engineering reconstruction and expansion as described in claim 5, characterized in that, The process of inserting a predefined delimiter into a temporary sequence builder includes the following steps: Append the string value of the first encoded element in the ordered encoded element list to the temporary sequence builder; at the same time, create a current processing state flag to record the order position of the currently processed encoded element in the ordered encoded element list; complete the initialization of the temporary sequence builder construction, and output the initial temporary sequence builder state containing the content of the first encoded element; Based on the position indicated by the current processing status flag, obtain the next encoded element in the ordered encoded element list; append the string value of the encoded element to the temporary sequence builder, and perform interval logic judgment: determine whether it is the last element based on the order position of the encoded element in the ordered encoded element list; this judgment operation generates an interval trigger instruction: if the judgment result is not the last element, the instruction is to insert a separator; if it is the last element, the instruction is not to perform the operation. The system operates according to the generated interval trigger command. If the interval trigger command is to insert a delimiter, a predefined delimiter is appended to the temporary sequence builder, and the current processing status flag is updated to point to the next element in the ordered encoded element list. The interval logic judgment is repeated until all encoded elements in the ordered encoded elements have been processed. Finally, a sequence of element values ​​with inserted delimiters is output.

7. The method for classifying, grading, and coding multi-source solid waste in highway engineering reconstruction and expansion as described in claim 6, characterized in that, The process of updating the current processing state flag to point to the next element in the ordered list of encoded elements includes the following steps: The interval trigger instruction generated by the input interval logic judgment is confirmed to be valid when its content is an insert delimiter; the string form of the delimiter is obtained from the predefined encoding structure rules, and a valid append operation instruction set is output. According to the append operation instruction set, append the specified delimiter string to the end of the current temporary sequence builder content; change the internal state of the temporary sequence builder to expand its content, and output an updated temporary sequence builder content state; Increment the position of the processing status flag by one unit so that it points to the next element in the ordered list of encoded elements, and output the updated processing status flag.

8. The method for classifying, grading, and coding multi-source solid waste in highway engineering reconstruction and expansion as described in claim 7, characterized in that, The process of outputting an updated temporary sequence builder content state includes the following steps: The append operation instruction set is parsed to extract the delimiter string to be appended; at the same time, the string value of the current temporary sequence builder content state is read and the complete content block to be concatenated is output. The complete content block is composed of the current builder content and the delimiter to be appended in sequence. The two components of the complete content block, namely the current builder content string and the delimiter string, are concatenated in their inherent order to produce a new string sequence. Clear the internal storage of the temporary sequence builder and completely replace the original content with a new string sequence; complete the update of the internal state of the temporary sequence builder, and output the updated temporary sequence builder content state, which is the expanded new content.

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