Pollutant monitoring system for disassembling process of electronic waste

Abstract

The invention relates to the technical field of electronic waste treatment monitoring, and discloses a pollutant monitoring system for an electronic waste disassembling process. The system comprises a data acquisition module used for acquiring a basic monitoring model and arranging a pollutant feature information list; the region division module is used for marking a pollution diffusion boundary region and establishing a region group; the monitoring point laying module is used for setting and adjusting initial positioning points of monitoring points; the parameter calculation module is used for planning a migration path and calculating common parameters; the state tracking module is used for classifying the region groups and planning a migration path; and the result output module is used for outputting monitoring parameter information and a migration path plane expansion graph. According to the system, scientific monitoring of pollutants in the electronic waste disassembling process can be realized, the monitoring efficiency and precision are improved, and support is provided for pollutant control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electronic waste treatment monitoring, in particular to a pollutant monitoring system for electronic waste disassembly process. BACKGROUND

[0002] The pollutants (such as heavy metals, volatile organic compounds, etc.) generated in the electronic waste disassembly process pose a serious threat to the environment and human health. Traditional pollutant monitoring methods mainly rely on manual sampling and laboratory analysis, which have problems such as low monitoring efficiency, poor real-time performance, and limited coverage. In addition, due to the complexity of the disassembly process and the variable diffusion path of pollutants, existing technologies are difficult to achieve dynamic tracking and precise monitoring point layout.

[0003] Some studies attempt to apply sensor networks to pollutant monitoring, but most systems lack targeted design for disassembly scenarios. For example, the monitoring point layout is often based on experience or fixed rules, without considering the boundary effect and regional relevance of pollutant diffusion, resulting in insufficient representativeness of monitoring data. At the same time, existing systems often use linear calculation models for path planning, which cannot adapt to the complex three-dimensional spatial structure of the disassembly site, and the optimization efficiency of the migration path is low.

[0004] Electronic waste disassembly involves multi-process collaboration, and the pollutant characteristics of different processes differ significantly, but existing technologies have not established a unified feature information list, making it difficult to integrate and analyze monitoring data. The lack of regional division and group management further exacerbates the waste of monitoring resources. Therefore, a system that can integrate multi-source data, dynamically divide pollution areas, and intelligently plan monitoring paths is needed to improve the accuracy and efficiency of pollutant monitoring. SUMMARY

[0005] The present application aims to provide a pollutant monitoring system for electronic waste disassembly process to solve the problems raised in the background.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solution: a pollutant monitoring system for electronic waste disassembly process, the system comprises: a data acquisition module: acquires a disassembly process basic monitoring model, and organizes a pollutant feature information list according to standard specifications; a regional division module: marks the pollution diffusion boundary area on the disassembly process basic monitoring model, establishes a regional group and associates one or more boundary areas to the regional group; a monitoring point layout module: sets an initial positioning point for the monitoring point in the regional group, adjusts the positioning point position and edits the positioning point attribute information; Parameter calculation module: planning the layout of the pollution monitoring points in the region group and the migration path between the initial positioning point and the pollution monitoring points, calculating the common calculation parameters of all pollution monitoring points in the region group to the initial positioning point; State tracking module: classifying the region group, installing the connection monitoring point entity model, and planning the migration path between the initial positioning point and the connection monitoring point; Result output module: outputting the disassembly process monitoring parameter information and the migration path planar development drawing.

[0007] Preferably, in the data acquisition module: The data acquisition module includes a basic model derivation unit and a feature information sorting unit, wherein: The basic model derivation unit derives a disassembly process basic monitoring model from the disassembly process original monitoring model, and the disassembly process basic monitoring model contains all information of the disassembly process original monitoring model and an empty framework model for storing path geometric information generated by subsequent monitoring; The feature information sorting unit extracts and forms a pollution feature information list from the disassembly process technical standard, and the attribute information includes feature number, belonging process code, belonging process name, feature monitoring position, belonging region group, and connected feature number.

[0008] Preferably, in the region division module: The region division module includes a boundary range definition unit and a region group association unit, wherein: The boundary range definition unit finds the region where the pollution feature is located on the three-dimensional model according to the pollution feature information list, and defines the region or the created auxiliary region as a boundary region according to a specific discrimination rule; the specific discrimination rule includes surface gradient threshold discrimination, region range threshold discrimination, and feature distribution density discrimination; the auxiliary region is created in the form of a ring-shaped region formed by expanding a preset width outward from the edge of the original region, and the expansion direction is perpendicular to the surface normal of the original region; The region group association unit establishes the corresponding region group on the three-dimensional model according to the region group information on the pollution feature information list, and associates it with the belonging boundary region; one region group can contain multiple boundary regions, and one boundary region only belongs to one region group.

[0009] Preferably, in the monitoring point layout module: The monitoring point layout module includes an initial point automatic generation unit and a position information management unit, wherein: The initial point automatic generation unit supports automatic setting of an initial positioning point at the center of a boundary region of a region group, the initial positioning point being located on a boundary region with a larger region range when the region group contains two boundary regions, and the initial positioning point being located on a boundary region closest to the middle when the region group contains multiple boundary regions, the initial positioning point being a centralized positioning point of all connection monitoring points of the pollutant monitoring points in the region group; The position information management unit adjusts the position of the set initial positioning point and edits information including the number and name of the initial positioning point.

[0010] Preferably, in the parameter calculation module: The parameter calculation module includes a feature and region association unit and a calculation parameter determination unit, wherein: The feature and region association unit reads in a pollutant feature information list and automatically associates the pollutant feature with a region group defined in the three-dimensional model according to region group information of the pollutant feature; The calculation parameter determination unit selects a pollutant monitoring point farthest from the initial positioning point on the edge of the region group as needed, plans a migration path of the pollutant monitoring point to the initial positioning point to obtain the path length, does not actually arrange monitoring points and plan paths when the pollutant monitoring points in the region group are all greater than a preset value from the region edge, automatically calculates the longest path length from each point of the boundary region of the region group to the initial positioning point, and takes the greater value of the two path lengths as the calculation parameter in the region group.

[0011] Preferably, in the state tracking module: The state tracking module includes a region group arrangement unit and a state tracking execution unit, wherein: The region group arrangement unit establishes a classification group on the three-dimensional model according to the pollutant feature information list and adds the region group to the corresponding classification group, one classification group can contain multiple region groups, one region group belongs to only one classification group, all pollutant monitoring points on the region groups in one classification group are connected to the same connection monitoring point, and one classification group and one connection monitoring point correspond to each other; and the connection monitoring point entity model is installed at the corresponding spatial position in the disassembled process-based monitoring model according to the actual position of the connection monitoring point. The state tracking execution unit plans a migration path between the initial positioning point of the region group and the corresponding connection monitoring point, marks the key nodes on the path as path control points on the three-dimensional model, then connects the initial positioning point, each path control point, and the connection monitoring point in sequence to generate a migration path model, and supports referencing an existing migration path model to complete all path planning.

[0012] Preferably, in the result output module: The result output module comprises a path expansion diagram output unit and a feature statistical report output unit, wherein: The path expansion diagram output unit expands the migration path model into a two-dimensional expansion diagram output and labels length information at each branch; The feature statistical report output unit outputs a statistical report containing feature number, path length, location, and connected feature number.

[0013] Preferably, in the calculation parameter determination unit: when the region group contains three or more boundary regions, the initial positioning point position is determined by calculating the average coordinates of the geometric centers of the boundary regions; and the path length is measured as the shortest continuous path along the surface profile of the pollutant monitoring point, with the starting point being the center point of the pollutant monitoring point monitoring position and the end point being the center point of the initial positioning point.

[0014] Preferably, in the state tracking execution unit: the setting rule of the path control points is to select a feature point on the migration path every preset distance, and the feature points include region turning points, feature avoidance points, and space intersection points; and the reference condition of the existing migration path model is that the included angle between the path direction and the current planned path is not more than thirty degrees, and the path length difference is within a preset error range.

[0015] Preferably, in the feature information arrangement unit: the extraction basis of the pollutant feature information list includes the disassembly equipment parameter table, the material composition instruction, and the monitoring interface specification; and the storage format of the attribute information is a structured table containing a number column, a process code column, a process name column, a monitoring position column, a region group column, and a connected feature column.

[0016] Compared with the prior art, the present application has the following advantages: In the data acquisition link, the data acquisition module acquires the basic monitoring model of the disassembly process and arranges to form a pollutant feature information list, the basic model derivation unit retains all the information of the original model and stores the path geometric information in an empty framework, and the feature information arrangement unit extracts information from multiple technical standards and stores it in a structured table, ensuring that the data is comprehensive and standardized and laying a solid foundation for subsequent monitoring work.

[0017] The region division module defines the boundary region according to specific discrimination rules, such as surface gradient, range threshold, and feature distribution density discrimination, can also create auxiliary regions, and associates the boundary region to the region group, so that the region division is more scientific and reasonable and can accurately reflect the pollutant diffusion range, providing accurate region basis for monitoring point layout.

[0018] The monitoring point layout module can automatically generate initial positioning points, has clear positioning rules in different boundary region cases, can also adjust and edit initial positioning point information, makes the initial position setting of the monitoring points more scientific, can be flexibly managed subsequently, and ensures that the position of the monitoring points can accurately capture the pollutant information.

[0019] The parameter calculation module associates the features with the regions, plans the migration path of the pollutant monitoring point to the initial positioning point, calculates the path length, comprehensively considers multiple cases to determine the calculation parameters, makes the parameter calculation more scientific, can accurately reflect the pollutant migration situation, and provides reliable data support for the monitoring system.

[0020] The state tracking module classifies the region groups, installs and connects the monitoring point entity model, plans the migration path of the initial positioning point to the connected monitoring point, sets the path control points and can refer to the existing path model, realizes comprehensive tracking of the state of the monitoring points, and ensures that the dynamic change of the pollutants can be accurately grasped in real time.

[0021] The result output module outputs the migration path planar development drawing and the feature statistical report, the development drawing is labeled with the branch length, the report contains multiple key information, makes the monitoring result more intuitive and clear, facilitates the relevant personnel to timely understand the pollutant monitoring parameters and migration path in the disassembly process, and provides strong support for the pollution control and management.

[0022] Through the cooperative work of the modules, the system realizes comprehensive, scientific and accurate monitoring of the pollutants in the electronic waste disassembly process, improves the efficiency and accuracy of the monitoring system, and provides an effective technical means for the pollution control and environmental protection in the electronic waste disassembly process. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 A working principle diagram of the pollutant monitoring system for the disassembly process of electronic waste is described in the present application. Figure 2 A flowchart of the work of the region division module is described. Figure 3 A flowchart of the work of the monitoring point layout module is described. Figure 4 A flowchart of the work of the state tracking module is described. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0025] Please refer toFigures 1-4 The present application relates to a kind of pollutant monitoring systems for electronic waste disassembly process, the system includes: data acquisition module, area division module, monitoring point layout module, parameter calculation module, state tracking module and result output module, specific implementation steps are as follows: Data acquisition module obtains disassembly process basic monitoring model, forms pollutant characteristic information list according to standard specification arrangement.Wherein, disassembly process basic monitoring model is derived from disassembly process original monitoring model, includes the information of all original models and the empty frame model for storing subsequent monitoring generated path geometry information;Pollutant characteristic information list is extracted from disassembly process technical standard, and its attribute information includes feature number, belonging process code, belonging process name, feature monitoring position, belonging area group, connected feature number.

[0026] Area division module marks pollution diffusion boundary area on disassembly process basic monitoring model, establishes area group and associates one or more boundary areas to area group.In particular, according to pollutant characteristic information list, find the area of pollutant characteristic on three-dimensional model, according to surface gradient threshold discrimination, area range threshold discrimination and feature distribution density discrimination, etc. Specific discrimination rules, the area or created auxiliary area (annular area formed by extending a predetermined width outside the edge of original area, and the extension direction is perpendicular to the surface normal of original area) is defined as boundary area;According to the area group information on pollutant characteristic information list, corresponding area group is established on three-dimensional model, and is associated with belonging boundary area, one area group can include multiple boundary areas, and one boundary area only belongs to one area group.

[0027] Monitoring point layout module sets initial positioning point in area group, adjusts the position of positioning point and edits positioning point attribute information.This module supports the automatic setting of initial positioning point in the boundary area center of area group, when area group contains two boundary areas, initial positioning point is located on the boundary area with larger area range;When containing multiple boundary areas, located on the boundary area closest to the middle, the initial positioning point is the centralized positioning point of all connected monitoring points of pollutant monitoring point in area group.Meanwhile, the position of the initial positioning point set can be adjusted, and its number and name information can be edited.

[0028] The parameter calculation module plans the locations of pollutant monitoring points within a region group and their migration paths to the initial positioning point, calculating shared calculation parameters for all pollutant monitoring points within the region group to the initial positioning point. Specifically, it reads in a list of pollutant characteristic information, automatically associates it with the region group information defined in the 3D model based on the pollutant characteristics; then, as needed, it selects the pollutant monitoring point furthest from the initial positioning point at the outermost edge of the region group, plans its migration path to the initial positioning point, and obtains the path length; when the distance of all pollutant monitoring points in the region group from the region edge is greater than a preset value, no monitoring points are actually deployed and no paths are planned; simultaneously, it automatically calculates the longest path length from each point in the boundary area of ​​the region group to the initial positioning point, using the larger of the two path lengths as the calculation parameter within the region group; if the former path length is unavailable, the latter path length is used as the calculation parameter.

[0029] The status tracking module classifies regional groups, installs entity models of connecting monitoring points, and plans migration paths from the initial location point to the connecting monitoring point. Specifically, it establishes classification groups on the 3D model based on the pollutant characteristic information list, adds regional groups to the corresponding classification groups, and a classification group can contain multiple regional groups. A regional group belongs to only one classification group, and all pollutant monitoring points on all regional groups within a classification group are connected to the same connecting monitoring point, with a one-to-one correspondence between a classification group and a connecting monitoring point. Based on the actual location of the connecting monitoring point, entity models of the connecting monitoring point are installed at the corresponding spatial locations in the basic monitoring model during the disassembly process. Then, it plans the migration path from the initial location point of the regional group to the corresponding connecting monitoring point, marks key nodes on the path (such as regional turning points, feature avoidance points, and spatial intersections selected at preset intervals) on the 3D model as path control points, and sequentially connects the initial location point, each path control point, and the connecting monitoring point to generate a migration path model. It also supports referencing existing migration path models where the angle between the path direction and the currently planned path does not exceed 30 degrees and the path length difference is within a preset error range, thus completing all path planning.

[0030] The results output module outputs monitoring parameters for the disassembly process and a planar unfolded diagram of the migration path. Specifically, the path unfolded diagram output unit unfolds the migration path model into a two-dimensional unfolded diagram and labels the length information of each branch; the feature statistics report output unit outputs a statistical report containing feature numbers, path lengths, locations, and connected feature numbers.

[0031] Example 1: The data acquisition module in this embodiment includes a basic model derivation unit and a feature information arrangement unit. The basic model derivation unit generates a basic disassembly process monitoring model based on the original monitoring model of the disassembly process. This process needs to completely inherit all information such as geometric parameters, material properties, and process flow in the original model, and embed an empty framework model in the model architecture. The empty framework model adopts a three-dimensional grid topology structure, which provides space for storing the monitoring point layout position, migration path line segment coordinates, path node curvature, and other path geometric information. When generating the basic monitoring model, data mapping and structure expansion are needed to ensure the integrity of the original model information and the embedding accuracy of the empty framework model.

[0032] The feature information arrangement unit extracts pollutant feature information from disassembly equipment parameter tables, material composition specifications, and monitoring interface specifications. When extracting feature numbers, a text analysis algorithm is used to identify the unique coding rules to ensure the uniqueness of each feature number. For process code and name, the hierarchical structure of the process code is used for extraction, such as using three-digit numbers to represent main processes, sub-processes, and operation steps, which can clearly and explicitly divide the process hierarchy. The three-dimensional coordinate parameters of the feature monitoring position can be associated with the model space position using coordinate mapping technology, so that the monitoring position can be accurately positioned in the model. According to the classification logic of the area group, the area group to which the pollutant feature belongs is determined, thereby realizing the area classification management of the pollutant feature. The corresponding relationship of the connected feature numbers is established through the association database index to facilitate subsequent query and management of the association between features.

[0033] The extracted attribute information needs to be stored in a structured table. The table contains multiple key columns, including the number column, which uses the UUID coding rule to ensure the uniqueness and randomness of the number and avoid problems caused by repeated numbers. The process code column conforms to the ISO15531 standard to ensure the standardization and universality of the process code, facilitating data interaction with other systems that comply with the standard. The process name column uses a multi-language comparison format to meet the use requirements in different language environments. The monitoring position column stores WGS84 coordinate system parameters, enabling the monitoring position to have accurate geographic coordinate reference. The area group column records the classification identifier, facilitating the classification management of pollutant features in different areas. The connected feature column stores foreign key association information to establish the association between features.

[0034] To facilitate data interaction with three-dimensional modeling software, the table uses JSON format for data serialization. JSON format has good readability and compatibility, allowing easy transmission and parsing of data between different software and systems. When serializing data, it is necessary to ensure that the data format of each field is correct and the association between fields is accurate to ensure the integrity and accuracy of the data during the interaction process.

[0035] In actual operation, the basic model derivation unit needs to interact with the three-dimensional modeling software in real time, import the generated basic monitoring model into the software for visualization and verification, and ensure the accuracy and integrity of the model. When extracting information, the feature information sorting unit may encounter technical standard files of different formats and structures, and needs to use corresponding analysis methods and technologies to ensure the accuracy and integrity of information extraction. For example, different text analysis algorithms may be needed to extract key information from different formats of disassembly equipment parameter tables.

[0036] In addition, the data acquisition module also needs to have data verification and error handling functions. During the derivation of the basic model, the inherited original model information needs to be verified to ensure that there is no information loss or error. During the extraction and storage of feature information, the extracted information needs to be verified for effectiveness, such as checking whether the feature number is unique, whether the process code conforms to the standard, whether the monitoring location coordinates are within a reasonable range, etc. When data errors or abnormalities are found, they can be handled and corrected in a timely manner to ensure the accuracy and reliability of the data.

[0037] At the same time, the data acquisition module should have good scalability to adapt to new pollutant features and monitoring needs that may arise in the future electronic waste disassembly process. For example, when new disassembly equipment is put into use or new material components are applied, the model structure can be easily extended in the basic model derivation unit, and new feature extraction rules and attribute fields can be added in the feature information sorting unit, ensuring that the system can continuously and effectively collect and manage pollutant feature information.

[0038] In terms of interaction with other modules, the disassembly process basic monitoring model and pollutant feature information list generated by the data acquisition module are the basis for the work of other modules such as the subsequent regional division module, monitoring point layout module, etc. Therefore, it is necessary to ensure that the data transmission and sharing process is stable and reliable, and the data format conforms to the input requirements of other modules. For example, the basic monitoring model is output in a standard three-dimensional model format, and the pollutant feature information list is provided to other modules in a structured data format, so that other modules can smoothly perform subsequent processing and analysis work.

[0039] Example 2: The regional division module in this embodiment includes a boundary range definition unit and a regional group association unit. The boundary range definition unit needs to import the feature monitoring location coordinates in the pollutant feature information list into the three-dimensional modeling software to generate feature point cloud data. These coordinate data are obtained from the data acquisition module and contain the specific location information of the pollutant features in three-dimensional space. After being imported into the software, the software will convert these discrete coordinate points into a visual point cloud model to provide a basis for subsequent boundary definition.

[0040] For surface gradient threshold discrimination, the core is to judge the pollution diffusion boundary by calculating the rate of change of normal vector of point cloud data. Specifically, in three-dimensional space, each point cloud point has its corresponding normal vector, which reflects the orientation of the surface where the point is located. When the included angle of the normal vectors of adjacent points exceeds a certain threshold (for example, 45 degrees), it means that the surface slope of this area changes greatly, which may be the boundary mutation area of pollution diffusion. At this time, the system will mark these areas as potential boundary areas.

[0041] The area range threshold discrimination needs to set a minimum boundary area size standard, for example, 0.5 square meters. When the area covered by the feature point cloud is smaller than this pre-set threshold, the system will automatically expand the area until it reaches the pre-set size. This is because smaller areas may not accurately reflect the actual spread of pollutants, and by expanding, it can ensure that the boundary area can contain enough pollution features to avoid omissions. During the expansion process, the system will maintain the similarity of the geometry of the region to the original point cloud region, ensuring that the expanded region conforms to the actual pollution diffusion logic.

[0042] The feature distribution density discrimination uses the kernel density estimation algorithm, which calculates the number of feature points per unit volume to judge the density of the pollution area. When the number of feature points per unit volume exceeds the pre-set value (such as 5 per cubic meter), it means that the feature distribution of the pollution area is dense, and it belongs to a high-density pollution area, and the system will demarcate the boundary accordingly. This method can accurately identify areas with concentrated pollutants, providing an important basis for subsequent monitoring point layout.

[0043] When creating auxiliary areas, strict expansion rules must be followed. Auxiliary areas are ring-shaped areas formed by expanding the original area edge by a pre-set width, with the expansion direction perpendicular to the original area surface normal. For example, the pre-set width can be set to 0.3 meters. When expanding, each surface point of the original area is taken as the starting point, and the normal direction of the point is extended outward by 0.3 meters to form new boundary points. These boundary points are connected to form a ring-shaped auxiliary area. In order to ensure smooth transition between the auxiliary area and the original area, B-spline curves are used to fit the boundary. B-spline curves have good smoothness and controllability, which can ensure that the boundary of the auxiliary area is smooth and natural, avoiding sharp corners.

[0044] The work of the area group association unit is to establish the topological structure in the three-dimensional model according to the area group identifier in the feature information list. Specifically, the system will take each boundary area as a node and the area group as a subgraph, and use an adjacency list to store the association relationship between nodes and subgraphs. This data structure can efficiently represent the logical relationship that an area group contains multiple boundary areas, and through the uniqueness constraint of the database, it ensures that a boundary area belongs to only one area group. During the association process, the system will perform real-time data verification, including checking the validity of the area group identifier, the spatial inclusion relationship between the boundary area and the area group, etc., to ensure that the topological relationship between the area group and the boundary area conforms to the actual spatial logic.

[0045] In actual operation, the boundary range defining unit needs to interact frequently with three-dimensional modeling software. For example, after generating point cloud data, it needs to be visually checked in the software to confirm whether the distribution of the point cloud conforms to the actual situation. When applying various discrimination rules, the threshold parameters may need to be adjusted according to the actual pollution characteristics and monitoring needs, such as surface gradient threshold, area range threshold, and feature distribution density threshold, etc., to ensure that the boundary area is accurately and reasonably delineated.

[0046] In addition, the area division module also needs to have good human-computer interaction function, so that the operator can manually adjust and optimize the automatically delineated boundary area and established area group. For example, when the system automatically delineated boundary area fails to completely contain the actual pollution area, the operator can manually add or delete boundary points through the interactive interface to adjust the shape and range of the boundary area. For the association of area groups, the operator can also manually modify the area group to which the boundary area belongs to adapt to complex pollution distribution conditions.

[0047] In terms of cooperation with other modules, the boundary area and area group information generated by the area division module is the basis for subsequent monitoring point layout module, parameter calculation module, etc. Therefore, it is necessary to ensure the accuracy and integrity of these information and output them to other modules in a standard data format. For example, store the three-dimensional coordinate data of the boundary area and the topological structure information of the area group in a structured manner for easy reading and processing by other modules.

[0048] At the same time, the area division module should have data updating and management functions. When the characteristics of pollutants in the electronic waste disassembly process change, such as the addition of new pollutant types or changes in pollution diffusion range, the system can re-delineate the boundary area and associate the area group according to the new feature information, ensuring that the results of area division always conform to the actual situation.

[0049] The embodiment of the region division module in this embodiment realizes accurate demarcation of the pollution diffusion boundary region and reasonable establishment of the region group through the collaborative work of the boundary range definition unit and the region group association unit, and provides a reliable spatial division basis for subsequent monitoring point layout and parameter calculation.

[0050] Embodiment 3 The monitoring point layout module in this embodiment includes an initial point automatic generation unit and a position information management unit. When setting the initial positioning point in the region group, the initial point automatic generation unit needs to use different spatial geometric calculation methods according to the number of boundary regions included in the region group. When the region group only includes a single boundary region, the system will directly calculate the geometric center of the boundary region as the initial positioning point. Specifically, by obtaining the three-dimensional coordinates of all vertices of the boundary region, the coordinates of the geometric center are obtained by weighted average of these coordinates using the integral method, and the coordinates of the initial positioning point are obtained.

[0051] When the region group includes two boundary regions, the system will first calculate the areas of the two boundary regions. The area calculation uses the triangular mesh area summation method, that is, the surface of the boundary region is divided into multiple triangular meshes, the area of each triangle is calculated and summed to obtain the total area of the boundary region. Then compare the area of the two boundary regions, and the geometric center of the boundary region with larger area is taken as the initial positioning point. The purpose of this is to ensure that the initial positioning point is located in the larger region where the pollution may be more concentrated, so as to more effectively monitor the region.

[0052] When the region group includes multiple boundary regions, the system will construct a spatial distance matrix of the boundary regions. Specifically, the geometric center coordinates of each boundary region are first calculated, and then the Euclidean distance between any two geometric centers is calculated, and these distance values are combined into a matrix. Calculate the sum of the Euclidean distances from each geometric center to all other centers, and select the center with the smallest distance sum as the geometric center of the boundary region closest to the middle, which is taken as the initial positioning point. This method can make the initial positioning point at the relative center position of multiple boundary regions, which is convenient for comprehensive monitoring of pollutants in the entire region group.

[0053] No matter how many boundary regions the region group contains, the initial positioning point is the centralized positioning point of all connected monitoring points of the pollutant monitoring points in the region group, and the coordinate system is the global coordinate system of the model, so as to ensure the unity and accuracy of positioning.

[0054] The position information management unit provides an interactive operation interface for the operator, supporting the adjustment of the initial positioning point's position through three-dimensional mouse dragging. During the adjustment process, the system displays the coordinate offset in real time, facilitating the operator's accurate grasp of the adjustment amplitude and direction. Meanwhile, the operator can edit the initial positioning point's number and name. The number adopts the coding rule of "RG - regional group ID - serial number", where "RG" represents the regional group, "regional group ID" is the unique identifier of the regional group, and "serial number" is used to distinguish different initial positioning points within the same regional group. This coding rule can clearly reflect the association between the initial positioning point and the regional group. The name contains regional attributes and functional descriptions, such as "decommissioning workshop A zone pollutant monitoring initial point", enabling the operator to intuitively understand the initial positioning point's position and role.

[0055] The edited information is synchronously updated to the attribute database of the three-dimensional model, ensuring one-to-one correspondence with the model entity. To meet the accuracy requirements of monitoring point positioning, the position adjustment precision is controlled within 0.1 millimeters. The system verifies the effectiveness of the adjusted initial positioning point, such as checking whether it is located within the corresponding boundary region and whether it collides with other important structures or equipment, to ensure the initial positioning point's position is reasonable and feasible.

[0056] In actual operation, the initial point automatic generation unit needs to closely cooperate with the three-dimensional modeling software, using the software's geometric calculation function to accurately obtain the boundary region's vertex coordinates, calculate the geometric center and area, etc. For complex-shaped boundary regions, grid division may be required to improve the calculation accuracy and efficiency. For example, for irregular curved boundary regions, subdividing the grid can more accurately calculate the geometric center and area.

[0057] The interactive operation interface of the position information management unit needs to have good user experience, with reasonable layout of operation buttons and controls and clear and understandable function identifiers. At the same time, the interface should support undo and redo functions to allow the operator to correct errors in a timely manner during the adjustment process. In addition, the system should provide batch editing functions for initial positioning points, which can improve work efficiency when the same editing operation needs to be performed on multiple initial positioning points.

[0058] In terms of interaction with other modules, the initial positioning point information generated by the monitoring point layout module is the basis for the work of subsequent modules such as the parameter calculation module and the state tracking module. Therefore, it is necessary to ensure that the initial positioning point's coordinates, number, name, etc. are accurately transmitted to other modules. For example, the parameter calculation module needs to plan the migration path of the pollutant monitoring point to the initial positioning point based on the initial positioning point's position, and the state tracking module needs to plan the migration path from the initial positioning point to the connection monitoring point.

[0059] The monitoring point deployment module should have data storage and management functions, enabling persistent storage of initial location point information and supporting the querying and backtracking of historical data. When adjustments or optimizations to the monitoring plan are needed, the initial location point deployment data can be referenced to provide a basis for decision-making.

[0060] The monitoring point deployment module should also consider the actual working conditions during the electronic waste dismantling process, such as the layout of dismantling equipment and the direction of pollutant diffusion, and comprehensively evaluate and adjust the initial location of the monitoring points. For example, in areas where pollutant concentrations may be high near dismantling equipment, the initial location of the monitoring points should be appropriately adjusted to be closer to these key areas to improve the accuracy and effectiveness of monitoring.

[0061] The implementation of the monitoring point deployment module, through the collaborative work of the initial point automatic generation unit and the location information management unit, achieves the automatic generation, precise adjustment, and information management of initial positioning points, providing an accurate positioning basis for subsequent pollutant monitoring. During implementation, attention needs to be paid to the calculation method of initial positioning points under different numbers of boundary areas, the precision control of position adjustment, data interaction with other modules, and the impact of actual operating conditions to ensure the scientific and rational deployment of monitoring points.

[0062] Example 4: In this embodiment, the parameter calculation module includes a feature and region association unit and a parameter determination unit. When the feature and region association unit is working, it needs to read a list of pollutant feature information through a data interface. This list, generated by the data acquisition module, contains information such as the pollutant feature number, its associated process, monitoring location, and region group. After reading the list, the system uses semantic parsing technology to identify the region group information, for example, by extracting the identifier or name of the region group through keyword matching or syntactic analysis.

[0063] When establishing the mapping relationship between feature information and 3D models, a spatial indexing algorithm (such as R-tree indexing) is used to calculate the intersection of the coordinates of the feature monitoring location and the spatial range of the region group. Taking a circuit board dismantling process in an electronic waste dismantling workshop as an example, assume that the coordinates of the pollutant feature monitoring location generated by this process are ( ), while the spatial range of a certain region group defined in the 3D model is from ( )arrive( ),when( When a pollutant falls within this range, the system automatically establishes an association between the pollutant characteristic and the area group. During the association process, multiple checks are performed, including coordinate range verification, area attribute verification, and feature type verification, to ensure the accuracy of the association. For example, it checks whether the area group belongs to an area that is allowed to contain this type of pollutant characteristic, avoiding erroneous associations.

[0064] The computing parameter determining unit needs to determine the position of the most marginal pollutant monitoring point in the region group when planning the migration path. For example, in a region group containing multiple pollutant monitoring points, the monitoring point farthest from the initial positioning point is found as the most marginal point by calculating the distance from each monitoring point to the initial positioning point. The migration path from the monitoring point to the initial positioning point is calculated using the shortest path algorithm (such as Dijkstra's algorithm). The path length measures the shortest continuous path along the surface profile of the pollutant monitoring point, with the starting point being the center of the monitoring position and the ending point being the center of the initial positioning point.

[0065] Taking the crushing area of an electronic waste disassembly line as an example, suppose the initial positioning point is set at the geometric center of the area, and the most marginal pollutant monitoring point is located near the discharge port of the crushing equipment. At this time, the migration path planned by the system needs to avoid the main structure of the equipment and travel along the channel around the equipment. The path length measurement will be along the shortest continuous path that avoids obstacles. When the distance from a pollutant monitoring point to the edge of the region is greater than a preset value (such as 5 cm), it is determined that the point is in a safe area, and no actual monitoring point is laid out and no path is planned. For example, if a monitoring point is 8 cm away from the edge of the region, which exceeds the preset value of 5 cm, the system will consider that the point does not need to be laid out with an actual monitoring point and no path is planned.

[0066] The system will find the longest path length by traversing the distances from each point in the boundary region to the initial positioning point. For example, in a boundary region with an irregular shape, the system will calculate the distances from all points in the region to the initial positioning point, and find the longest distance among them as the longest path length from each point in the boundary region to the initial positioning point. Then, the larger value between this length and the path length of the most marginal monitoring point is taken as the computing parameter of the region group. If there is no most marginal monitoring point in the region group that needs to be planned (i.e., all monitoring points are not laid out because they are more than a preset value away from the edge of the region), the longest path length of the boundary region is directly taken as the computing parameter.

[0067] In a specific implementation scenario, a region group contains three boundary regions, two of which have pollutant monitoring points within 5 cm of the edge of the region, requiring path planning, and the third has monitoring points more than 5 cm away from the edge. For the first two boundary regions, the system finds the most marginal monitoring point in each, plans a path to the initial positioning point, and obtains path lengths L1 and L2. It also calculates the longest path lengths L3 and L4 from each point in the two boundary regions to the initial positioning point. Then, the larger values of L1 and L3, and L2 and L4 are taken as the computing parameters of the region group in which the two boundary regions are located. The third boundary region does not have a path to be planned, so its computing parameter is taken as the longest path length from each point in the boundary region to the initial positioning point.

[0068] During the calculation process, the system adopts parallel computing technology to improve processing efficiency, especially in the case of processing a large number of monitoring points and complex boundary areas. Parallel computing can significantly shorten the calculation time and ensure the real-time nature of parameter calculation. For example, when processing the parameter calculation of multiple regional groups at the same time, the calculation task of each regional group can be distributed to different processor cores for parallel execution.

[0069] In terms of interaction with other modules, the calculation parameters and migration path information generated by the parameter calculation module are transmitted to the state tracking module for planning the migration path from the initial positioning point to the connection monitoring point, and also provided to the result output module for generating monitoring parameter information and migration path planar development diagram. Therefore, it is necessary to ensure the accuracy and integrity of these data, such as the coordinate points of the migration path, path length, calculation parameters, etc. Information needs to be accurately transmitted to the subsequent module.

[0070] The parameter calculation module should have user intervention function. When the system automatically calculates the migration path or calculation parameters do not meet the actual needs, the operator can manually adjust the path planning or modify the calculation parameters. For example, in the actual disassembly workshop, there may be some temporary obstacles, and the system automatically planned path does not avoid them. At this time, the operator can manually adjust the control points of the path to make the path avoid these obstacles.

[0071] The parameter calculation module needs to verify and check the calculation results to ensure the feasibility of the migration path and the rationality of the calculation parameters. For example, check if the path collides with the equipment or other structures, and if the calculation parameters meet the physical laws of pollutant diffusion, etc. When abnormalities are found, the system should give prompt information and allow the operator to make corrections.

[0072] Example 5: In this embodiment, the state tracking module includes a regional group layout unit and a state tracking execution unit. When establishing classification groups on the three-dimensional model, the regional group layout unit needs to be classified according to the nature of the pollutant characteristics and the monitoring frequency requirements. For example, in the electronic waste disassembly process, the regional group corresponding to gaseous pollutants (such as volatile organic compounds generated in the welding process) is classified as one category, the regional group corresponding to liquid pollutants (such as wastewater generated in the cleaning process) is classified as another category, and the regional group corresponding to solid pollutants (such as dust generated in the crushing process) is classified as the third category. Each classification group is assigned a unique identifier, such as "GAS-001", "LIQ-002", and "SOL-003", to facilitate management and differentiation.

[0073] The regional group is added to the corresponding classification group through the data import function, and the database transaction mechanism is used to ensure the consistency of the association between the classification group and the regional group. For example, in the three-dimensional model of the disassembly workshop, there are three regional groups corresponding to the welding station, the cleaning tank and the surrounding area of the crushing equipment, respectively. The welding station produces gaseous pollutants, the cleaning tank produces liquid pollutants, and the surrounding area of the crushing equipment produces solid pollutants. The system adds the regional group corresponding to the welding station to the "GAS-001" classification group, adds the regional group corresponding to the cleaning tank to the "LIQ-002" classification group, and adds the regional group corresponding to the surrounding area of the crushing equipment to the "SOL-003" classification group, realizing the logical relationship that one classification group contains multiple regional groups and one regional group belongs to only one classification group.

[0074] The connection monitoring point corresponding to each classification group adopts a standardized model, and according to the coordinate parameters of the actual installation position, the entity model is installed at the corresponding spatial position of the disassembly process based monitoring model. For example, the connection monitoring point of the "GAS-001" classification group is installed near the ventilation port above the welding station, with coordinates (X1, Y1, Z1). The system places a standardized connection monitoring point entity model at the corresponding position of the three-dimensional model according to the coordinates, and installs it in compliance with the mechanical interface standard, ensuring the geometric consistency of the model and the actual equipment, such as interface size, mounting hole position, etc.

[0075] When the state tracking execution unit plans the migration path, it selects feature points as path control points on the path according to a preset distance. The preset distance can be set according to the actual scene, such as 0.5 meters, and a feature point is selected every 0.5 meters on the path. The feature points include regional turning points, characteristic avoidance points and spatial intersection points. Taking the migration path planning from the welding station regional group to its connection monitoring point as an example, the initial positioning point is set at the geometric center of the welding station, and the connection monitoring point is near the ventilation port. During path planning, when encountering obstacles such as equipment supports, characteristic avoidance points need to be set to avoid obstacles; when the path needs to turn around a corner, regional turning point feature points are set at the corner; if the path intersects with other pipelines in three-dimensional space, spatial intersection point feature points are set at the intersection position.

[0076] When the path is generated, the initial positioning point, each path control point and the connection monitoring point are fitted by a Bezier curve to form a smooth migration path model. For example, the initial positioning point has coordinates (X0, Y0, Z0), and then passes through the characteristic avoidance point ( ), the regional turning point ( ), the spatial intersection point ( ), and finally reaches the connection monitoring point ( ). The system uses a Bezier curve to smoothly connect these points to generate a migration path model, ensuring the smoothness and feasibility of the path and avoiding sharp corners or unreasonable bends in the path.

[0077] At the same time, the existing migration path model is referenced. When the existing path angle is not more than thirty degrees from the current planned path, and the path length difference is within the preset error range, the path model can be directly referenced. For example, in the disassembly workshop, when planning the migration path of the cleaning tank area group to its connection monitoring point, it is found that there is already a migration path from a similar position to a nearby connection point, the angle between the two is 25 degrees, and the path length difference is 3%, which is within the preset error range (such as 5%). The system can directly reference the existing path model, and coordinate transformation and scale adjustment are performed to ensure spatial matching with the current model, such as moving the coordinate origin of the existing path to the position of the current initial positioning point, and adjusting the path length according to the actual distance ratio.

[0078] In a specific implementation scenario, there are multiple area groups in the disassembly workshop that need to plan migration paths, among which the battery disassembly area group produces liquid pollutants, belonging to the "LIQ-002" classification group, and the connection monitoring point is set at the inlet of the wastewater collection pipeline in the workshop. The initial positioning point is set at the center of the battery disassembly workstation. When planning the path, it needs to start from the workstation center, bypass the nearby material rack (set feature avoidance point), pass through the corner of the workshop passage (set area turning point feature point), and finally reach the wastewater collection pipeline inlet. The system first attempts to automatically plan the path to generate path control points, and then generates a path model through Bezier curve fitting. At the same time, the system retrieves the existing migration path model and finds a path from a similar workstation to the wastewater pipeline, with an angle of 20 degrees and a length difference of 2%, which meets the reference conditions, so the path model is referenced and adjusted to save time and effort in path planning.

[0079] After the path planning is completed, the path data is stored as an interactive three-dimensional model file for subsequent viewing and modification. The operator can open the file through a three-dimensional modeling software to view the three-dimensional direction of the path, the position of each control point, and the path length information, and can also manually adjust the path control points, such as moving the position of a feature avoidance point to better avoid obstacles, and the system will re-fit the path model after adjustment.

[0080] In terms of interaction with other modules, the state tracking module needs to obtain the initial positioning point position and calculation parameters of the area group from the parameter calculation module, and obtain the pollutant feature information from the data acquisition module, in order to classify the area group and plan the path. At the same time, the generated migration path model and classification group information are transmitted to the result output module for generating migration path planar development and feature statistical report. For example, the result output module expands the three-dimensional path into a two-dimensional planar development according to the path data provided by the state tracking module, and labels the length information of each branch, and at the same time, the classification group information and path features are included in the statistical report.

[0081] In addition, the state tracking module should have a path validity verification function to check whether the planned migration path collides with the equipment, pipelines, etc. in the workshop, and whether the path is unobstructed. For example, through a three-dimensional collision detection algorithm, the migration path model is collided with other entity models in the workshop, and if it is found that the path collides with a certain device, the path control point is automatically adjusted or a warning information is issued to prompt the operator to manually adjust.

[0082] At the same time, the state tracking module needs to support the management of path planning under different disassembly conditions, and when the disassembly process changes or the workshop layout is adjusted, the migration path can be re-planned. For example, when the position of a disassembly device moves, the system needs to recalculate the migration path from the initial positioning point to the connection monitoring point to ensure the accuracy and feasibility of the path.

[0083] It should be noted that in this text, relational terms such as first and second are used only to distinguish one entity or operation from another, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0084] Although embodiments of the present application have been shown and described, it will be understood by those having ordinary skill in the art that various changes, modifications, substitutions and alterations can be made thereto without departing from the principles and spirit of the present application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A system for monitoring contaminants in a disassembly process of electronic waste, characterized in that, Comprise: Data acquisition module: obtain the disassembly process basic monitoring model, and form the pollutant characteristic information list according to the standard specification; Region division module: mark the pollution diffusion boundary region on the disassembly process basic monitoring model, establish a region group and associate one or more boundary regions to the region group; Monitoring point layout module: set the monitoring point initial positioning point in the region group, adjust the positioning point position and edit the positioning point attribute information; Parameter calculation module: plan the pollutant monitoring point layout position in the region group and the migration path between the initial positioning point, calculate the common calculation parameters of all pollutant monitoring points in the region group to the initial positioning point; State tracking module: classify the region group, install the connected monitoring point entity model, and plan the migration path between the initial positioning point and the connected monitoring point; Result output module: output the disassembly process monitoring parameter information and the migration path plane development drawing.

2. The system for monitoring contaminants from a disassembly process of electronic waste of claim 1, wherein, In the data acquisition module: The data acquisition module comprises a basic model derivation unit and a characteristic information arrangement unit, wherein: The basic model derivation unit derives the disassembly process basic monitoring model based on the disassembly process original monitoring model, and the disassembly process basic monitoring model contains all information of the disassembly process original monitoring model and an empty framework model for storing path geometric information generated in subsequent monitoring; The characteristic information arrangement unit extracts and forms the pollutant characteristic information list from the disassembly process technical standard, and the attribute information includes characteristic number, belonging process code, belonging process name, characteristic monitoring position, belonging region group and connected characteristic number.

3. The system for monitoring contaminants from a disassembly process of electronic waste of claim 1, wherein, In the region division module: The region division module comprises a boundary range definition unit and a region group association unit, wherein: The boundary range definition unit finds the region where the pollutant characteristic is located on the three-dimensional model according to the pollutant characteristic information list, and defines the region or the created auxiliary region as a boundary region according to a specific discrimination rule; the specific discrimination rule includes surface gradient threshold discrimination, region range threshold discrimination and characteristic distribution density discrimination; the auxiliary region is created in the form of a ring-shaped region formed by expanding a preset width outward from the edge of the original region, and the expansion direction is perpendicular to the surface normal of the original region; The region group association unit establishes the corresponding region group on the three-dimensional model according to the region group information on the pollutant characteristic information list, and associates it with the belonging boundary region; one region group can contain multiple boundary regions, and one boundary region belongs to only one region group.

4. The system for monitoring contaminants from a disassembly process of electronic waste of claim 1, wherein, In the monitoring point layout module: The monitoring point layout module comprises an initial point automatic generation unit and a position information management unit, wherein: The initial point automatic generation unit supports automatically setting an initial positioning point at the center of the boundary region of the region group; when the region group contains two boundary regions, the initial positioning point is located on the boundary region with a larger region range; when the region group contains multiple boundary regions, the initial positioning point is located on the boundary region closest to the middle; the initial positioning point refers to the centralized positioning point of all connected monitoring points of the pollutant monitoring points in the region group; The position information management unit supports adjusting the position of the initial positioning point and editing the attribute information of the initial positioning point. The position information management unit adjusts the position of the set initial positioning point, and edits information including the number and name of the initial positioning point.

5. The system for monitoring contaminants from a disassembly process of electronic waste of claim 1, wherein, In the parameter calculation module: The parameter calculation module includes a feature and region association unit and a calculation parameter determination unit, wherein: The feature and region association unit reads in the pollutant feature information list, and automatically associates the pollutant feature with the region group defined in the three-dimensional model according to the region group information of the pollutant feature; The calculation parameter determination unit selects the pollutant monitoring point farthest from the initial positioning point on the edge of the region group as needed, plans the migration path of the pollutant monitoring point to the initial positioning point, and obtains the path length; when the pollutant monitoring points in the region group are all greater than a preset value from the region edge, the monitoring point and the planned path are not actually arranged; the longest path length from each point in the boundary region of the region group to the initial positioning point is automatically calculated; the module takes the larger value of the two path lengths as the calculation parameter in the region group, and if there is no former path length, the latter path length is taken as the calculation parameter in the region group.

6. The system for monitoring contaminants from a disassembly process of electronic waste of claim 1, wherein, In the state tracking module: The state tracking module includes a region group arrangement unit and a state tracking execution unit, wherein: The region group arrangement unit establishes a classification group on the three-dimensional model according to the pollutant feature information list, and adds the region group to the corresponding classification group; one classification group can contain multiple region groups, one region group belongs to only one classification group, and all pollutant monitoring points on the region groups in one classification group are connected to the same connection monitoring point; one classification group and one connection monitoring point correspond to each other; the connection monitoring point entity model is installed at the corresponding spatial position in the disassembly process based monitoring model according to the actual position of the connection monitoring point; The state tracking execution unit plans the migration path between the initial positioning point of the region group and the corresponding connection monitoring point, marks the key nodes on the path as path control points on the three-dimensional model, and then connects the initial positioning point, each path control point and the connection monitoring point in sequence to generate a migration path model, and supports referencing an existing migration path model to complete all path planning.

7. The system for monitoring contaminants from a disassembly process of electronic waste of claim 1, wherein, In the result output module: The result output module includes a path expansion diagram output unit and a feature statistical report output unit, wherein: The path expansion diagram output unit expands the migration path model into a two-dimensional expansion diagram output, and labels the length information of each branch; The feature statistical report output unit outputs a statistical report containing the feature number, path length, location and connected feature number.

8. The system for monitoring contaminants from a disassembly process of electronic waste of claim 5, wherein, In the calculation parameter determination unit: when the region group contains three or more boundary regions, the initial positioning point position is determined by calculating the average coordinates of the geometric centers of the boundary regions; the path length is measured in the shortest continuous path along the surface contour of the pollutant monitoring point, and the starting point of the path is the monitoring position center point of the pollutant monitoring point and the end point is the center point of the initial positioning point.

9. The system for monitoring contaminants from a disassembly process of electronic waste of claim 6, wherein, In the state tracking execution unit, the setting rule of the path control point is to select a feature point on the migration path every interval of a preset distance, and the feature point includes a region turning point, a feature avoidance point and a space intersection point; and the reference condition of the existing migration path model is that the included angle between the path direction and the current planning path is not more than thirty degrees, and the path length difference is within a preset error range.

10. The system for monitoring contaminants from a disassembly process of electronic waste of claim 2, wherein, In the feature information arrangement unit, the extraction of the pollutant feature information list is based on the disassembly equipment parameter table, the material composition instruction and the monitoring interface specification; the storage format of the attribute information is a structured table, and the structured table includes a number column, a process code column, a process name column, a monitoring position column, a region group column and a connection feature column.

Images