Functional zoning configuration verification method and system for laboratory needs

Abstract

This invention discloses a method and system for verifying functional zoning configurations for laboratory needs, relating to the field of laboratory zoning configuration technology. It includes: S1, collecting access data and access connection relationships, writing type labels and attribute identifiers, and constructing a weighted spatial topology map; S2, forming various sets of flow paths and constructing a set of business flow constraint elements; S3, performing closed-loop evaluation on sample flow paths, identifying chain break risk nodes and candidate edges for replenishment; performing restricted area intrusion evaluation on hazardous chemical logistics paths, locating key intrusion edges and detour edges; determining shared intrusion in clean access areas for shared cross-incident events, and identifying hidden risks; S4, generating rectification actions, updating the weighted spatial topology map, and outputting an optimized compliance configuration scheme. This solves the problems of difficulty in automatically verifying the integrity of business flow closed-loops and difficulty in early identification and location of hidden cross-zone risks in laboratory functional zoning schemes.

Description

Technical Field

[0001] This invention relates to the field of laboratory zoning configuration technology, specifically to a method and system for verifying functional zoning configurations to meet laboratory needs. Background Technology

[0002] In the fields of architectural space planning and laboratory engineering design, the functional zoning of laboratory buildings typically involves the organization and arrangement of various functional units, such as sample processing space, testing space, hazardous chemical storage space, waste temporary storage space, and personnel passageways. Different functional areas must meet comprehensive requirements regarding experimental process flow, safety isolation, cleanliness level control, and access organization. With the development of BIM digital design, building information modeling technology, and emerging software and new information technology services, laboratory planning is gradually shifting from two-dimensional drawing design to three-dimensional model-driven space configuration management. During the design phase, room uses, passageway connections, and spatial flow structures can be digitally expressed, providing fundamental support for the planning demonstration, design review, and operation management of laboratory building functional zoning schemes.

[0003] For example, the invention patent with announcement number CN117744264B discloses a design method for supercritical heat exchangers based on phase change partitioning. The main steps of this method include: inputting the heat exchanger boundary conditions; calculating the upper and lower boundary temperatures of the phase change partitioning zone; calculating the inner wall temperature of the supercritical working fluid side to determine the upper boundary temperature of the superheated steam condensation zone; and dividing the heat exchanger into four segments based on the above three boundary temperatures and the inlet and outlet temperatures, calculating the segment dimensions and the total dimensions of the heat exchanger. This supercritical heat exchanger design method based on phase change partitioning does not require dividing the heat exchanger units according to isenthalpy change or equal length, and can realize automatic partitioning judgment of single-phase cooling and superheated condensation in supercritical gas coolers. It overcomes the shortcomings of existing methods, such as long processing time and large uncertainty, and is applicable to the size design and performance verification of various supercritical evaporators and coolers, with fast and accurate calculations.

[0004] For example, invention patent CN116933376A discloses a method for verifying the compliance of sprinkler layout, including the following steps: determining the building's fire resistance rating; establishing a database of information required for verification based on the building information model; verifying the compliance of sprinkler layout locations based on the database information; verifying the compliance of sprinkler spacing based on the database information and the fire resistance rating; and performing hydraulic calculations to verify the sprinklers. By extracting room and sprinkler information from the building information model to form a database, the method uses fire compartment boundaries to determine whether sprinklers cross fire compartments or are located in rooms that should not be crossed. It also obtains the sprinkler location coordinates and room wall boundaries to verify whether the spacing between sprinklers and the net distance between sprinklers and walls within the room meets requirements. Compared with traditional manual verification, this method reduces the workload of verification personnel, improves work efficiency, and provides more accurate verification results. It can also be applied to the compliance verification of sprinklers in complex building models.

[0005] However, in laboratory functional zoning scenarios, sample transfer, hazardous chemical logistics, waste disposal, and personnel access typically follow strict closed-loop flow requirements. For example, samples should enter the processing area from the receiving area and ultimately the waste disposal area; hazardous chemical transport routes should avoid crossing public access areas; and waste liquid and exhaust gas discharge flows should be isolated from clean access flows. However, existing functional zoning verification methods often focus on room adjacency relationships and individual specification distance indicators, lacking an automatic verification mechanism for the topological integrity of laboratory operational flows. This means that even when the zoning scheme formally meets local constraints, hidden risks may still arise, such as broken sample paths, hazardous chemical logistics crossing zones, or waste logistics intersecting with clean flow flows in reverse. These risks are difficult to identify and locate in advance, thus affecting laboratory operational safety and the effectiveness of pollution control.

[0006] Therefore, in response to the above problems, there is an urgent need for a functional zoning configuration verification method and system tailored to the needs of laboratories. Summary of the Invention

[0007] Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a method and system for verifying the functional zoning configuration for laboratory needs, which solves the problems of difficulty in automatically verifying the integrity of the business flow closed loop and difficulty in early identification and location of implicit cross-zone risks in laboratory functional zoning schemes.

[0008] Technical solution

[0009] To achieve the above objectives, this invention provides the following technical solution: a functional zoning configuration verification method for laboratory needs, comprising the following steps: S1, collecting access geometry data and room access connection relationships using the laboratory building BIM model, writing functional type labels for room nodes and passageways, assigning zoning constraint attribute identifiers, performing data preprocessing, and constructing a weighted spatial topology map; S2, forming a set of feasible paths for personnel access, sample flow, hazardous chemical logistics, and waste logistics on the weighted spatial topology map, and constructing a set of mandatory sample access nodes, a set of prohibited connected edges for hazardous chemical logistics, a set of prohibited connected edges for waste logistics, and a set of shared cross-events for clean access areas based on the functional type labels; S3, performing closed-loop coverage assessment and... The system performs several steps: First, it determines detour deviations and obtains a closed-loop integrity check value. This value is then compared to the closed-loop threshold to identify chain break risk nodes and candidate edges for reconnection. Second, it performs a restricted area intrusion assessment on hazardous chemical logistics routes, obtaining cross-area crossing risk values. These values ​​are then compared to the risk threshold to locate key intrusion edges and candidate detour edges. Third, it assesses the degree of shared intrusion in clean passage areas for shared cross-area events, obtaining clean passage shared intrusion values. These values ​​are then compared to the intrusion threshold to determine hidden risks of reverse cross-area contamination. Finally, based on the comparison results of the closed-loop integrity check value, cross-area crossing risk value, and clean passage shared intrusion value, it generates reconnection, detour, and isolation rectification actions. The weighted spatial topology is incrementally updated, and the optimized compliance configuration scheme that meets the constraints is reviewed and output.

[0010] Furthermore, the specific process of collecting access geometry data and room access connections using the laboratory building BIM model, writing functional type labels for room nodes and passageways, and assigning partition constraint attribute identifiers, and performing data preprocessing to construct a weighted spatial topology map is as follows: Using the current laboratory building BIM model, the door coordinates of laboratory rooms are collected, the accessibility connections between rooms are obtained simultaneously, the accessibility connections between rooms are collected to form connected edges, and the passage lengths of the connected edges are collected; a spatial connected edge set is constructed using all connected edges, and a room node set is constructed by counting all rooms; the laboratory room list and process design requirements are read, room usage attributes are collected, and functional type labels are written for the corresponding rooms, including: sample receiving area, processing area, testing area, waste temporary storage area, and hazardous chemical temporary storage area. The system collects the attributes of passageways in the BIM model and writes functional type labels for the corresponding connected edges, including: public passageway and clean passageway. Based on the room and passageway attributes, it assigns partition constraint attribute identifiers to the corresponding room nodes and connected edges, including: abandoned pollution source attribute identifier, hazardous chemical area attribute identifier, clean passage attribute identifier, and public passage attribute identifier. It performs normalization processing on the passageway length, consistency checks on the set of spatial connected edges, unified encoding processing on the functional type labels, and consistency processing on the partition constraint attribute identifiers. It uses room nodes as nodes of the topology graph, spatial connected edges as edges of the topology graph, and normalized passageway lengths as weights of the corresponding edges. It assigns corresponding functional type labels and partition constraint attribute identifiers to each node and edge to construct a weighted spatial topology graph.

[0011] Furthermore, the specific process of forming a set of feasible paths for personnel passage, sample transfer, hazardous chemical logistics, and waste logistics on the weighted spatial topology graph, and constructing a set of mandatory sample nodes, a set of prohibited connected edges for hazardous chemical logistics, a set of prohibited connected edges for waste logistics, and a set of shared cross-events in the clean passage area based on functional type labels, is as follows: On the weighted spatial topology graph, based on functional type labels and partition constraint attribute identifiers, the set of personnel passage flow lines, the set of sample transfer flow lines, the set of hazardous chemical logistics flow lines, and the set of waste logistics flow lines are obtained respectively through K-shortest path search; among them, the set of personnel passage flow lines is defined as the set of feasible paths that form continuous passage on the weighted spatial topology graph; the set of sample transfer flow lines is defined as the set of feasible paths where the starting node is the sample receiving area and the ending node is the waste temporary storage area; the set of hazardous chemical logistics flow lines is defined as... The set of feasible paths is defined as follows: the starting node is the hazardous chemical temporary storage area, and the ending node is the treatment area; the set of waste logistics flow lines is defined as the set of feasible paths where the starting node has a waste pollution source attribute identifier of 1 and the ending node is the waste temporary storage area; the nodes of the sample receiving area, treatment area, testing area, and waste temporary storage area are taken as the necessary nodes for sample flow, and a set of necessary nodes for sample flow is constructed; the connected edges belonging to the public passage area are counted to construct a set of prohibited connected edges for hazardous chemical logistics; the connected edges belonging to the clean passage area are counted to construct a set of prohibited connected edges for waste logistics; the connected edge sequence of each path in the personnel passage flow line set is extracted, the connected edge sequence of each path in the waste logistics flow line set is extracted, it is determined whether there are shared connected edges belonging to the clean passage area between the two types of paths, and each shared connected edge is taken as an intersection event to construct a set of intersection events.

[0012] Furthermore, the specific process for performing closed-loop coverage assessment and detour deviation judgment on the sample flow path to obtain the closed-loop integrity verification value is as follows: For each sample flow path in the sample flow streamline set, extract the actual set of nodes passed; calculate the intersection of the actual set of nodes passed and the set of nodes that the sample must pass through, and divide it by the length of the set of nodes that the sample must pass through to obtain the coverage value of the nodes that the sample must pass through; accumulate the channel length weight of the current sample flow path to obtain the current passage length, and select the shortest passage length in the sample flow streamline set, divide the current passage length by the shortest passage length and take the opposite number as the exponent, and perform natural exponentiation to obtain the passage detour penalty value; multiply the coverage value of the nodes that the sample must pass through and the passage detour penalty value to obtain the closed-loop integrity verification value.

[0013] Furthermore, the specific process of identifying risky nodes and candidate edges for link breakage by comparing the closed-loop integrity check value with the closed-loop threshold is as follows: Calculate the closed-loop integrity check value for each sample flow path in the sample flow path set. If the closed-loop integrity check value is less than the closed-loop threshold, it is determined to be a risky path for closed-loop link breakage. For each risky path for closed-loop link breakage, read the actual set of nodes traversed, calculate the missing nodes not covered in the set of nodes that the sample must pass through, and take the functional type label corresponding to the missing node as the cause of link breakage. Locate the connected edge with the largest passage length weight in the path as the dominant bypass edge. Based on the cause of link breakage, search for connected edges adjacent to the current missing node in the weighted spatial topology graph to obtain a set of candidate edges for link breakage.

[0014] Furthermore, the specific process for performing restricted area intrusion assessment on hazardous chemical logistics routes to obtain cross-regional crossing risk values ​​is as follows: For each hazardous chemical logistics route in the set of hazardous chemical logistics flow lines, the actual connected edge set traversed by the hazardous chemical logistics route is extracted. For connected edges in the actual connected edge set that fall into the set of hazardous chemical logistics restricted connected edges, the corresponding passage length weight is read. The current passage length weight is divided by the mean of the passage length weights in the weighted spatial topology graph, and the natural logarithm is taken to obtain the logarithmic penalty value of the passage length. The corresponding logarithmic penalty value of the passage length is calculated for all connected edges that fall into the set of hazardous chemical logistics restricted connected edges, and the values ​​are accumulated to obtain the cross-regional crossing risk value.

[0015] Furthermore, the specific process of locating key intrusion edges and candidate detour edges by comparing the cross-regional crossing risk value with the risk threshold is as follows: Calculate the cross-regional crossing risk value of each hazardous chemical logistics path in the hazardous chemical logistics flow line set. If the cross-regional crossing risk value is greater than the risk threshold, it is determined to be a hazardous chemical crossing risk path. For each hazardous chemical crossing risk path, count the connected edges that fall into the set of hazardous chemical logistics prohibited connected edges, and mark the corresponding connected edge number as the prohibited intrusion position. Sort the logarithmic penalty value of the channel length of the hazardous chemical crossing risk path in descending order, and select the connected edge with the largest logarithmic penalty value of the channel length as the key intrusion edge. For the key intrusion edge, search the set of alternative connected edges in the weighted spatial topology graph to generate a set of candidate detour edges that do not pass through the set of hazardous chemical logistics prohibited connected edges.

[0016] Furthermore, the specific process for determining the degree of shared intrusion into clean passage areas based on shared cross-events, obtaining a clean passage shared intrusion value, and comparing the clean passage shared intrusion value with the intrusion threshold to determine the hidden risk of reverse cross-contamination is as follows: All connected edges belonging to clean passage areas in the weighted spatial topology graph are counted, and the channel length weights are accumulated to obtain the clean passage area channel length; for each cross-event in the cross-event set, the channel length weight of the corresponding shared connected edge is divided by the clean passage area channel length to obtain the clean shared length ratio, and the clean shared length ratios corresponding to all cross-events are accumulated to obtain the clean passage shared intrusion value; the clean passage shared intrusion value is compared with the intrusion threshold. If the clean passage shared intrusion value is greater than the intrusion threshold, it is determined that there is a shared intrusion risk scheme. The clean shared length ratios of each cross-event are sorted in descending order, and the shared connected edge with the largest ratio is output; and the set of alternative passage edges for abandoned logistics paths that do not pass through shared connected edges is retrieved in the weighted spatial topology graph.

[0017] Furthermore, based on the comparison results of the closed-loop integrity check value, cross-regional crossing risk value, and clean passage shared intrusion value, actions for supplementation, detour, and isolation rectification are generated. The weighted spatial topology graph is incrementally updated, and the optimized compliance configuration scheme that meets the constraints is reviewed and output. The specific process is as follows: The candidate edge set for supplementation is read, and connecting edges are added to the room nodes corresponding to missing nodes as candidate supplementation edges, generating sample flow closed-loop supplementation rectification actions; the set of key intrusion edges and candidate detour edges is read, and key intrusion edges are replaced with candidate detour edges in the hazardous chemical logistics path, generating hazardous chemical logistics detour rectification actions. The system updates the hazardous chemical logistics flow set; reads the shared connected edges with the largest proportion, removes them from the abandoned logistics path and loads the alternative passage edge set, generates clean passage isolation rectification actions, and updates the abandoned logistics flow set; simultaneously, for each rectification action, it updates the weighted spatial topology graph, and recalculates the closed-loop integrity check value, cross-regional crossing risk value, and clean passage shared intrusion value among all rectification action combinations, and selects the rectification scheme that meets all threshold conditions and has the fewest number of rectification actions and newly added connected edges as the optimized compliant rectification scheme, and outputs the optimized compliant rectification scheme.

[0018] The second aspect of this invention provides a functional zoning configuration verification system for laboratory needs, comprising: a spatial data acquisition module, used to collect access geometry data and room access connection relationships using the laboratory building BIM model, and write functional type labels for room nodes and passages, while assigning zoning constraint attribute identifiers, performing data preprocessing, and constructing a weighted spatial topology map; a business flow modeling module, used to form a set of feasible paths for personnel access, sample flow, hazardous chemical logistics, and waste logistics on the weighted spatial topology map, and construct a set of mandatory sample nodes, a set of prohibited connected edges for hazardous chemical logistics, a set of prohibited connected edges for waste logistics, and a set of shared cross events in clean access areas based on functional type labels; and a flow risk verification module, used to perform closed-loop coverage assessment and bypass assessment for sample flow paths. The system performs deviation determination to obtain a closed-loop integrity check value. It then compares the closed-loop integrity check value with the closed-loop threshold to identify chain break risk nodes and candidate edges for reconnection. For hazardous chemical logistics routes, it performs restricted area intrusion assessment to obtain cross-area crossing risk values. It then compares the cross-area crossing risk values ​​with the risk threshold to locate key intrusion edges and candidate detour edges. For shared cross-events, it determines the degree of shared intrusion in clean passage areas to obtain clean passage shared intrusion values. It then compares the clean passage shared intrusion values ​​with the intrusion threshold to determine the hidden risk of reverse cross-contamination. The zonal rectification and optimization module is used to generate reconnection, detour, and isolation rectification actions based on the comparison results of the closed-loop integrity check value, cross-area crossing risk value, and clean passage shared intrusion value. It incrementally updates the weighted spatial topology graph, reviews the optimized compliance configuration scheme that meets the constraints, and outputs the results.

[0019] Beneficial effects

[0020] The present invention has the following beneficial effects:

[0021] (1) This invention constructs a weighted spatial topology map using BIM and performs closed-loop coverage assessment and detour deviation judgment on the sample flow path. It can automatically identify the risk of chain break in the necessary links such as sample reception, processing, testing and disposal before construction, and avoid the problem of omitting the integrity of the business flow closed loop due to the traditional reliance on adjacency relationship verification.

[0022] (2) By constructing a set of prohibited connected edges for hazardous chemical logistics and performing a restricted zone intrusion assessment on the hazardous chemical logistics path, this method can quantify the risk of hazardous chemical transportation paths crossing public and clean passage areas, and further output key intrusion edges and candidate detour edges, thereby achieving accurate positioning of hazardous chemical logistics cross-regional hidden dangers and generating rectification basis.

[0023] (3) This invention introduces a set of shared cross events in the clean passage area and evaluates the degree of intrusion into the clean passage area based on the proportion of the length of the shared connected edge. It can determine the hidden risk of pollution reverse cross intrusion into the clean passage area in advance in the construction stage without a real operation event sequence, thereby improving the verification capability of pollution prevention and control and safety isolation.

[0024] (4) This invention automatically generates reconnection, detour and isolation rectification actions for chain break risk, restricted area intrusion risk and shared intrusion risk, and incrementally updates the weighted spatial topology graph, re-verifies the closed loop integrity and risk constraints, and outputs the optimized compliance scheme with the fewest number of rectification actions and new connected edges, thereby realizing the automatic rectification optimization and decision support closed loop of laboratory functional zoning configuration.

[0025] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0026] Figure 1 Flowchart of verification method for configuring functional zones to meet laboratory needs;

[0027] Figure 2 Configure and verify the structure diagram of the functional areas to meet the needs of the laboratory;

[0028] Figure 3 A schematic diagram of the weighted spatial topology of the laboratory's functional zones;

[0029] Figure 4 A bar chart showing the closed-loop integrity check values. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. As those skilled in the art will understand, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Please see Figures 1-4 This invention provides a technical solution: a method for verifying the functional zoning configuration to meet laboratory needs, such as... Figure 1As shown, the process includes the following steps: S1, using the BIM model of the experimental building to collect access geometry data and room access connection relationships, and writing functional type labels for room nodes and passages, while assigning partition constraint attribute identifiers, performing preprocessing on the data and constructing a weighted spatial topology map; S2, forming a set of feasible paths for personnel access, sample flow, hazardous chemical logistics and waste logistics on the weighted spatial topology map, and constructing a set of mandatory sample nodes, a set of prohibited connected edges for hazardous chemical logistics, a set of prohibited connected edges for waste logistics and a set of shared cross events in the clean access area based on the functional type labels; S3, performing closed-loop coverage assessment and detour deviation judgment on the sample flow path, obtaining the closed-loop integrity check value, and comparing it with... The closed-loop integrity check value and closed-loop threshold identify chain break risk nodes and candidate edges for reconnection; for hazardous chemical logistics routes, a restricted area intrusion assessment is performed to obtain cross-area crossing risk values, and key intrusion edges and candidate detour edges are located by comparing the cross-area crossing risk values ​​with the risk threshold; for shared cross-events, the degree of shared intrusion in clean passage areas is judged to obtain clean passage shared intrusion values, and the hidden risk of reverse cross-contamination is determined by comparing the clean passage shared intrusion values ​​with the intrusion threshold; S4, based on the comparison results of the closed-loop integrity check value, cross-area crossing risk value and clean passage shared intrusion value, reconnection, detour and isolation rectification actions are generated, the weighted spatial topology is incrementally updated, and the optimized compliance configuration scheme that meets the constraints is reviewed and output.

[0032] Specifically, the process of collecting access geometry data and room access connections using the laboratory building BIM model, writing functional type labels for room nodes and passageways, assigning partition constraint attribute identifiers, and performing preprocessing on the data to construct a weighted spatial topology map is as follows: Using the current laboratory building BIM model, the door coordinates of the laboratory rooms are collected. Door coordinates are the coordinates of the plane center point of the door component in the BIM model, used to represent the location of room access openings. Simultaneously, the accessible connections between rooms are acquired. Accessible connections are the connectivity relationships formed by doors and corridor components between adjacent rooms in the BIM model. These connectivity relationships are automatically extracted by the spatial topology analysis of the BIM model. Accessible connections between rooms are collected to form connecting edges, and the passage lengths of these connecting edges are collected. The passage length is the actual passage path length represented by the corresponding connecting edge, calculated from the corridor centerline distance or the shortest accessible distance from door to door in the BIM model, reflecting the spatial access cost between rooms. A spatial connecting edge set is constructed using all connecting edges, and a room node set is constructed for all rooms. The room node set represents all rooms within the laboratory building that have independent access... The room space unit is connected by a set of all passageways available for personnel and logistics, which together form the basic input of the spatial topology. The laboratory room list and process design requirements are read, and room usage attributes are collected. These attributes, derived from the building function room list or process flow design documents, clarify the experimental business role of each room. Functional type labels are written for the corresponding rooms, including: sample receiving area, processing area, testing area, waste storage area, and hazardous chemical storage area. These functional type labels are discrete enumeration labels used to distinguish the flow attributes and constraint rules of different business nodes in the topology diagram. Passage attributes are also collected from the BIM model. These attributes, derived from the type labeling of corridor components or cleanliness level planning documents, distinguish between public passageways and cleanliness isolation passageways. Functional type labels are written for the corresponding connected edges, including: public passageway and clean passageway. Functional type labels are optional attributes; only connected edges with clear logistics isolation or cleanliness constraint requirements are labeled. Connected edges without functional type labels are defaulted to unconditional general passage edges and do not participate in the construction of the hazardous chemical logistics prohibited passage set. Based on room and passage attributes, the corresponding room nodes and connected edges are assigned partition constraint attribute identifiers, including: waste pollution source attribute identifier, hazardous chemical area attribute identifier, clean passage attribute identifier, and public passage attribute identifier. Among them, the partition constraint attribute identifier is a binary identifier parameter. When the room node belongs to the waste storage area or the treatment area that generates waste, the waste pollution source attribute identifier is set to 1. When the room node belongs to the hazardous chemical storage area or the treatment area involving hazardous chemical operations, the hazardous chemical area attribute identifier is set to 1. When the connected edge belongs to the clean passage area, the clean passage attribute identifier is set to 1. When the connected edge belongs to the public passage area, the public passage attribute identifier is set to 1, so as to form the constraint input for subsequent flow line prohibition and isolation determination.The passage lengths are normalized. The normalization process can be performed using a minimum-maximum normalization method across all connected edges in the building, mapping the passage lengths of each connected edge to the maximum length to eliminate the influence of dimensions under different building scales. A consistency check is performed on the set of spatial connected edges. The consistency check includes removing duplicate connected edges, correcting isolated nodes, and verifying the consistency of room numbers at edge endpoints to ensure the integrity and computability of the topology. Duplicate connected edges refer to redundant edges with the same endpoint nodes and consistent passage type labels, while isolated nodes refer to room nodes that are not associated with any connected edges. A unified encoding process is performed on the functional type labels. This process maps the enumeration of functional type labels to internal fixed numbers, such as 1 for the sample receiving area, 2 for the processing area, 3 for the detection area, 4 for the waste storage area, and 5 for the hazardous chemicals storage area, to facilitate path search and constraint matching. Consistency processing is also performed on the partition constraint attribute identifiers, preferably using the consistency rule that "attribute identifiers are uniquely determined by functional type labels," ensuring that the attribute identifier values ​​for the same room or passage are uniquely consistent across different data sources. Room nodes are used as nodes in the topology graph, spatial connectivity edges are used as edges, and normalized passage lengths are used as the weights of the corresponding edges. Each node and edge is assigned a corresponding functional type label and partition constraint attribute identifier, constructing a weighted spatial topology graph. This weighted spatial topology graph provides a unified spatial computational foundation for subsequent sample flow closed-loop verification, hazardous chemical logistics restricted area intrusion assessment, and clean passage shared intrusion risk location, ensuring that the functional partition configuration verification process has feasible data sources and a clear engineering implementation path.

[0033] like Figure 3The diagram shows a weighted spatial topology of the laboratory's functional zones. Each circular node represents a room within the laboratory building. Nodes R101 to R105 uniquely identify the room's location. The labels below the nodes—"Sample Receiving Area," "Processing Area," "Detection Area," "Waste Storage Area," and "Hazardous Chemical Storage Area"—represent the room's functional type. The W and H symbols within the nodes represent waste pollution source and hazardous chemical area attributes, respectively. W=1 indicates a waste pollution source node, and H=1 indicates a hazardous chemical-related area. The lines in the diagram represent accessible spatial connections between rooms, with "Public Access Area" and "Clean Area" marked on the edges. "Net passage zone" represents the functional type label of the passage. l=12m, l=10m, etc. represent the actual passage length weight of the connected edge, which is used for path length calculation and detour assessment. At the same time, C and P on the edge represent the clean passage attribute identifier and the public passage attribute identifier, respectively. C=1 indicates that the connected edge belongs to the clean passage zone, and P=1 indicates that the connected edge belongs to the public passage zone. Through the unified modeling of the above node functional labels, risk attribute identifiers and passage weight attributes, a topological infrastructure is formed that can be used for sample closed-loop integrity verification, hazardous chemical restricted area intrusion assessment and clean passage shared intrusion location.

[0034] In this implementation plan, the access geometry information, such as doors, passages, and room connectivity, is automatically collected based on the BIM model of the laboratory building. Combined with the room usage and passage attributes, functional type labels and zoning constraint attribute identifiers are written. Through preprocessing such as normalization and consistency checks, a weighted spatial topology map is constructed, thereby mapping the laboratory spatial structure, business zoning, and access constraints into a computable topological foundation. This provides clear data support and a feasible engineering implementation path for subsequent verification of the integrity of sample flow closed loop, identification of hazardous chemical logistics restricted area crossings, and location of clean access sharing intrusion risks.

[0035] Specifically, the process of forming feasible path sets for personnel passage, sample flow, hazardous chemical logistics, and waste logistics on a weighted spatial topology graph, and constructing sets of mandatory sample nodes, prohibited hazardous chemical logistics edges, prohibited waste logistics edges, and shared intersection events in clean passage areas based on functional type labels, is as follows: On the weighted spatial topology graph, based on functional type labels and partition constraint attribute identifiers, the K-shortest path search is used to obtain sets of personnel passage flow lines, sample flow lines, hazardous chemical logistics flow lines, and waste logistics flow lines, respectively; whereby the K-shortest path search is used to construct the spatial passage network formed by topological nodes and topological edges. In this process, the path cost is weighted by the channel length. Multi-path search is performed on the starting and ending nodes of each type of business flow. The top K candidate feasible paths are output in ascending order of total cost, and these paths are written into the corresponding flow set. Here, K is the number of candidate paths, preferably between 3 and 10. The value of K is set based on the branch complexity of the laboratory building's access network and the coverage of candidate solutions required for design verification. A smaller K is used when there are fewer topological branches to reduce computation, while a larger K is used when there are multiple corridors or detours to avoid missing potential risk paths, thus more realistically reflecting the multiple possible flow paths within the laboratory. The personnel flow set is defined as a set of feasible paths forming continuous passage on the weighted spatial topology graph. Continuous passage means that the path consists of several connected edges connected end-to-end, and each connected edge corresponds to an actually passable corridor or doorway, ensuring the engineering feasibility of the personnel flow. The sample flow path set is defined as the set of feasible paths where the starting node is the sample receiving area and the ending node is the waste storage area. Preferably, the feasible paths cover the functional nodes that the sample may pass through during the experimental process, representing the complete business flow chain from sample reception, processing, testing to waste storage. The hazardous chemical logistics flow path set is defined as the set of feasible paths where the starting node is the hazardous chemical storage area and the ending node is the processing area. The hazardous chemical logistics flow path is used to depict the transportation process of hazardous chemicals from the storage area to the experimental processing area, providing path input for subsequent restricted area intrusion and isolation constraint verification. The waste logistics flow path set is defined as the set of feasible paths where the starting node has a waste pollution source attribute identifier of 1 and the ending node is the waste storage area. Nodes with a waste pollution source attribute identifier of 1 indicate that the room has a risk of generating waste liquid, waste gas, or pollutants, used to limit the reasonable starting range of waste logistics. The sample receiving area, processing area, testing area, and waste temporary storage area are designated as essential nodes for sample flow, constructing a set of essential sample flow nodes. This set serves as the core input for the closed-loop constraint of sample operations, used to subsequently determine the risk of broken links or omissions in key functional areas. Connecting edges belonging to public access areas are statistically analyzed, constructing a set of prohibited connecting edges for hazardous chemical logistics. This set restricts the transportation routes of hazardous chemicals from crossing public access areas, thereby reducing the risk of cross-regional pollution spread.The connected edges belonging to the clean passage area are statistically analyzed, and a set of prohibited connected edges for waste logistics is constructed. This set of prohibited connected edges for waste logistics is used to ensure that waste logistics paths do not enter the clean passage area, thereby achieving spatial isolation between clean and contaminated flow lines. The connected edge sequence of each path in the personnel flow line set and the connected edge sequence of each path in the waste logistics flow line set are extracted. It is determined whether there are shared connected edges belonging to the clean passage area for both types of paths. Each shared connected edge is treated as a cross event, and a cross event set is constructed. Here, a shared connected edge indicates a potential risk of cross-intrusion between personnel passage and waste logistics on the same clean passage channel, representing the probability of potential cross-channel interaction. This does not rely on actual operational data. The cross event set is used to quantify the degree of shared intrusion in clean passages and locate the hidden pollution reverse cross-risk locations, thus providing clear risk anchors for rectification and optimization.

[0036] In this implementation plan, the multi-business flow modeling process based on weighted spatial topology graphs can automatically enumerate multiple candidate feasible paths for personnel passage, sample transfer, hazardous chemical logistics, and waste logistics during the experimental building construction phase by utilizing channel length weights and zoning constraint attributes. It also forms a constraint set covering closed-loop necessary nodes, prohibited connected edges, and clean shared intersection events. This enables early identification and location of the integrity of sample business links, the risk of cross-zone intrusion of hazardous chemical transportation, the risk of clean isolation of waste logistics, and the potential shared intrusion hazards of personnel and contaminated flow lines. This provides an implementable spatial verification basis and clear risk anchor point support for subsequent functional zoning rectification and optimization.

[0037] Specifically, the process of performing closed-loop coverage assessment and detour deviation judgment on the sample flow path to obtain the closed-loop integrity verification value is as follows: For each sample flow path in the sample flow pipeline set, the actual set of nodes traversed is extracted. The actual set of nodes traversed is the set of room node numbers sequentially connected by the path, which is directly extracted from the node sequence output by the K-shortest path search and is used to characterize the actual business flow trajectory of the sample in the topology network. The intersection of the actual set of nodes traversed and the set of nodes that the sample must pass through is calculated and divided by the length of the set of nodes that the sample must pass through to obtain the coverage value of the nodes that the sample must pass through. The set of nodes that the sample must pass through includes nodes in the sample receiving area, processing area, detection area, and waste temporary storage area. The coverage value of the nodes that the sample must pass through is used to quantify the degree of closed-loop coverage of the current path to key functional nodes. When the coverage value of the nodes that the sample must pass through decreases, it indicates that there is a risk of a broken chain in the path due to the omission of key experimental links. The current travel length is obtained by accumulating the channel length weights of the current sample flow path. The shortest travel length in the sample flow streamline set is then selected. The current travel length is the sum of the channel length weights of all connected edges in the path, used to characterize the spatial travel cost of the sample flow. The shortest travel length is the baseline path length with the minimum total cost within the same streamline set, used as a reference for detour evaluation. The current travel length is divided by the shortest travel length, and the inverse is used as the exponent for natural exponential calculation to obtain the detour penalty value. This detour penalty value is used to apply an exponentially decaying penalty to detour paths that significantly deviate from the shortest travel baseline, causing the penalty term to decrease rapidly as the path length increases significantly, thus highlighting the inefficiency and pollution spread risks caused by unreasonable detours. The closed-loop integrity check value is obtained by multiplying the coverage value of the sample's required nodes by the detour penalty value. The closed-loop integrity verification value constrains the sample flow path from two dimensions: "business closed-loop coverage" and "traffic rationality." On the one hand, it measures whether the path completely passes through key links such as sample reception, processing, detection, and temporary storage of discarded samples by measuring the coverage ratio of necessary nodes, thus avoiding chain breaks or omissions. On the other hand, it suppresses unnecessary long-distance detours by using an exponential detour penalty relative to the shortest travel length, so that the more the path deviates from the optimal travel benchmark, the faster its verification contribution decays, thereby achieving a unified assessment of the closed-loop integrity and the rationality of spatial costs. It comprehensively reflects the node closed-loop integrity and the rationality of travel costs of the sample flow path. When the value is low, it can be determined that there is a hidden risk of chain breakage due to missing necessary nodes or serious detour deviations, providing a quantitative basis for subsequent reconnection rectification and flow optimization.

[0038] The specific formula for the closed-loop integrity check value is as follows:

[0039] ;

[0040] In the formula, This represents the closed-loop integrity check value, used to comprehensively check whether the sample flow path in the laboratory functional zoning plan meets the business closed-loop requirements; It represents the set of nodes that a sample must pass through, and the set of functional area nodes that a sample must pass through in sequence during the sample flow process. It is the "target node constraint" for closed-loop verification. This represents the length of the set of nodes that a sample must pass through, and is used to normalize the coverage. This represents the set of nodes that the sample flow path actually passes through, and the set of room nodes that the current sample flow path to be checked actually passes through in the topology graph. It is the node representation of the "actual flow trajectory". This indicates the current passage length, and the cumulative channel length weight of the current sample flow path reflects the actual passage distance of the sample within the experimental building, used to measure whether there is any detour or deviation in the path; The shortest passage length represents the shortest compliant path length under the corresponding start and end point conditions in the sample flow line set, serving as a reference benchmark for detour assessment.

[0041] In this embodiment, Table 1 is a closed-loop integrity check value data table. The length of the sample's mandatory node set is 4, and the shortest travel length is 50. The table details the intersection of the actual node sets traversed by the five paths and the sample's mandatory node set, the current travel length, and the closed-loop integrity check value. Specifically, the intersection of the actual node set traversed by path 1 and the required node set of the sample is 4, the current travel length is 52, and the closed-loop integrity check value is 0.353; the intersection of the actual node set traversed by path 2 and the required node set of the sample is 4, the current travel length is 70, and the closed-loop integrity check value is 0.247; the intersection of the actual node set traversed by path 3 and the required node set of the sample is 3, the current travel length is 55, and the closed-loop integrity check value is 0.250; the intersection of the actual node set traversed by path 4 and the required node set of the sample is 4, the current travel length is 120, and the closed-loop integrity check value is 0.091; and the intersection of the actual node set traversed by path 5 and the required node set of the sample is 2, the current travel length is 110, and the closed-loop integrity check value is 0.055.

[0042] Table 1. Closed-loop integrity verification value data table

[0043]

[0044] like Figure 4 The chart shown is a bar chart of closed-loop integrity verification values. The horizontal axis represents different path numbers, the vertical axis represents the closed-loop integrity verification value of the corresponding path, the dashed line represents the closed-loop threshold, and the height of the bars reflects the comprehensive verification results of each path's coverage of the sample's essential nodes and the degree of detour. (Combined with Table 1 and...) Figure 4As can be seen, the closed-loop integrity verification values ​​of paths 1, 2, and 3 are all higher than the closed-loop threshold, indicating that the sample flow paths can relatively completely cover the necessary functional nodes and have relatively small detours, belonging to the closed-loop compliant path schemes. The closed-loop integrity verification values ​​of paths 4 and 5 are significantly lower than the closed-loop threshold, with path 5 being the lowest, indicating that the paths have problems with missing necessary nodes or excessively long detours, belonging to the closed-loop break risk paths. The risk nodes should be identified in the subsequent rectification module and a supplementary optimization scheme should be generated. The bar chart shows an overall trend of "closed-loop integrity rapidly decaying as the path detour becomes more severe", verifying that the verification indicators can effectively distinguish between compliant paths and potential break paths in the experimental business flow, providing a quantitative basis for the topology integrity review of the functional zoning scheme before construction.

[0045] This implementation plan extracts the actual node sequence of the sample flow path and conducts a comprehensive evaluation by combining the coverage of the necessary nodes and the deviation of the passage length. This allows for the quantification of whether the path completely passes through key functional stages such as sample reception, processing, detection, and temporary disposal, identifying the risk of chain breakage caused by missing nodes in advance. It also applies an exponential decay penalty to detour paths that significantly deviate from the shortest passage benchmark, highlighting the efficiency reduction and potential pollution spread hazards caused by unreasonable passage. Thus, it achieves a unified verification of the integrity of the sample flow closed loop and the rationality of spatial passage before laboratory construction, providing a clear and reliable quantitative basis for subsequent supplementary rectification and zoning optimization.

[0046] Specifically, the process of comparing the closed-loop integrity check value with the closed-loop threshold to identify nodes at risk of chain breakage and candidate edges for reconnection is as follows: The closed-loop integrity check value is calculated for each sample flow path in the sample flow path set. This value is determined by the coverage of the mandatory nodes the sample must pass through and the detour penalty, and is used to measure the rationality of the sample flow path in terms of business closure and spatial accessibility. If the closed-loop integrity check value is less than the closed-loop threshold, it is determined to be a path at risk of chain breakage. The closed-loop threshold is a preset closed-loop compliance judgment threshold, preferably adaptively set according to the laboratory flow closure requirements, used to distinguish compliant paths from abnormal paths with hidden chain breakage risks. For each closed-loop break risk path, the actual set of nodes traversed is read. This set consists of the room node numbers connected sequentially along the path, allowing direct location of the sample's actual travel trajectory within the topology. Missing nodes not covered in the mandatory node set are calculated. These missing nodes, not present in the actual traversed node set, characterize key experimental functional steps omitted during sample flow. The functional type label corresponding to the missing node is used as the break cause. This label includes sample receiving area, processing area, detection area, and temporary storage area. The break cause clarifies the business attribute source of the current closed-loop break risk; for example, a missing detection area node indicates the sample flow path does not cover the detection step. The connected edge with the largest travel length weight in the path is identified as the dominant detour edge. This dominant detour edge is the key channel edge contributing the most to the spatial travel cost, used to locate the main spatial bottleneck positions causing path detour deviation and a decrease in the closed-loop integrity check value. Based on the break cause, connected edges adjacent to the current missing node are retrieved in the weighted spatial topology graph, resulting in a set of candidate edges for replacement.The candidate edge set is a set of candidate passage edges that have a direct spatial connection with the missing node. Preferably, it includes adjacent connected edges in the BIM model that allow for the addition of doorways or adjustment of corridor connection conditions. Adding connected edges is not arbitrarily generating passage connections in the topology diagram, but rather based on engineering feasibility, forming candidate edges only under the condition of meeting building structure and code constraints. Specifically, taking the room node corresponding to the missing node as the center, the set of its one-hop adjacent nodes is retrieved in the weighted spatial topology diagram to obtain candidate connection pairs between the missing node and its adjacent nodes that have not yet established a connection relationship. Further, the boundary component information of the room with the missing node in the BIM model is traced back to determine whether the missing node and its adjacent nodes share a wall or have a reserved passageway, and the shortest path between the two rooms is read. Geometric distance and wall opening conditions are considered. Simultaneously, the feasibility criteria for candidate connecting passage edges preferentially include the following engineering constraints: Structural opening constraints: The wall components corresponding to the candidate connection must not be shear walls, load-bearing walls, or non-openable structural wall segments, and the wall type must meet the conditions for door opening; Fire compartment constraints: The candidate connection must meet the requirements for fire door installation and fire compartmentation specifications; Evacuation safety constraints: The passageway formed by the newly added connecting edge must not cause the evacuation distance to exceed the limit, and must not occupy the necessary evacuation corridor width; Cleanliness and isolation constraints: The candidate connecting edge must not directly connect the clean passage area and the abandoned pollution source functional area to avoid disrupting the cleanliness and isolation flow line; Spatial size constraints: The candidate door opening location must meet the minimum clear passage width requirement and maintain a safe distance from existing equipment layout, pipeline shafts, and process partitions. When the above engineering constraints are met, adjacent node pairs are generated as candidate connecting passage edges; if a corridor component already exists between the missing node and its adjacent node but no direct connecting edge is formed, the connecting edge corresponding to the corridor component is marked as an adjustable connecting edge. The resulting set of candidate edges for reinforcement is used to prioritize the reinforcement scheme with the lowest cost of adding new doorways or adjusting corridor connections during subsequent rectification and optimization processes, so that the project at the location of the broken link in the closed loop of sample flow can be implemented for reinforcement rectification.

[0047] In this implementation plan, the process of identifying chain break risks and generating candidate replacements can automatically screen risky paths in sample flow based on the closed-loop integrity verification results. It can also locate key experimental steps that are missing by identifying the missing essential nodes, and identify the dominant bottleneck edges by combining the passage length weight. Furthermore, it relies on the weighted spatial topology map and BIM component information retrieval to find adjacent connectable passage edges of missing nodes, forming a set of candidate replacement edges with feasible conditions for adding doorways or adjusting corridors. This allows for the accurate location of potential chain break risks in sample flow and the engineering generation of the minimum replacement rectification plan before the construction of the experimental building, providing clear and reliable support for subsequent zoning optimization.

[0048] Specifically, the process of performing restricted area intrusion assessment on hazardous chemical logistics routes to obtain cross-regional crossing risk values ​​is as follows: For each hazardous chemical logistics route in the set of hazardous chemical logistics flow lines, the actual connected edge set traversed by the hazardous chemical logistics route is extracted. The actual connected edge set is the set of channel edge numbers sequentially traversed by the hazardous chemical logistics route, directly extracted from the edge sequence output by the K-shortest path search, and used to characterize the actual transportation trajectory of hazardous chemicals in the topological passage network. For connected edges in the actual connected edge set that fall into the hazardous chemical logistics restricted connected edge set, the corresponding passage length weight is read. The hazardous chemical logistics restricted connected edge set is a statistically obtained set of public passage area connected edges, used to constrain hazardous chemical transportation routes from crossing public areas to avoid cross-regional pollution spread and safety risks. The current passage length weight is divided by the mean of the passage length weights in the weighted spatial topology graph, and the natural logarithm is taken to obtain the logarithmic penalty value for the passage length. Here, the passage length weight is the actual passage length corresponding to the prohibited connected edge, and the mean of the passage length weights is the average scale of the passage lengths of all connected edges in the topology graph, used to provide a normalization reference. Taking the natural logarithm highlights the nonlinear amplification effect of long-distance prohibited zone intrusion passages on risk, making the penalty contribution more significant the longer the intrusion edge. The logarithmic penalty value for the passage length is calculated for all connected edges falling into the set of prohibited connected edges for hazardous chemical logistics, and these values ​​are accumulated to obtain the cross-regional crossing risk value. Cross-zone crossing risk value is used to quantify the degree of intrusion of hazardous chemical logistics routes into prohibited passages: when hazardous chemical transportation routes pass through prohibited connecting edges such as public passage areas or clean passage areas, the passage length weight is used as the intrusion cost, and the risk contribution of long-distance cross-zone crossings is amplified by a logarithmic penalty relative to the global average passage length. Thus, the more prohibited areas are intruded into and the longer the intrusion passage is, the more significant the cumulative risk value becomes. This enables quantitative assessment of the hidden dangers of cross-zone crossing of hazardous chemical logistics and effective location of key intrusion positions. When the risk value increases, it indicates that there are hidden dangers of cross-zone crossing in hazardous chemical transportation. This can provide a quantitative basis for the subsequent location of key intrusion edges and the generation of detour rectification plans, thereby ensuring the safe isolation and engineering feasibility of hazardous chemical logistics flow lines.

[0049] The specific formula for the risk value of crossing regions is as follows:

[0050] ;

[0051] In the formula, This indicates the risk value for crossing zones, used to quantitatively assess whether the logistics routes for hazardous chemicals in the laboratory functional zoning plan cross prohibited areas; This represents the connected edge index, used to traverse the channel edges traversed by the hazardous chemical logistics path; Let represent the set of actual connected edges traversed by a hazardous chemical logistics route, and let represent the set of all connected edges actually traversed by a certain hazardous chemical logistics route. Let f represent the set of connected edges where hazardous chemical logistics are prohibited, and let f represent the set of connected edges where hazardous chemical logistics are not allowed to pass through. The superscript h indicates hazardous, i.e., hazardous chemical logistics, and the subscript f indicates forbidden. This indicates an indicator function used to characterize whether a connected edge belongs to the set of forbidden paths; The passage length weight represents the weight of the connected edges that fall into the set of connected edges that are prohibited from entering the hazardous chemical logistics area, and is used to characterize the physical passage scale contribution of the restricted area intrusion channel; This represents the mean of the passage length weights in the weighted spatial topology graph, used to normalize passage lengths at different building scales.

[0052] This implementation plan can automatically extract actual passage connecting edges during the hazardous chemical logistics route modeling stage, and identify public passage zone crossing behaviors in the route by combining the set of hazardous chemical logistics prohibited connecting edges. By using the logarithmic penalty of the channel length, the risk of long-distance restricted area intrusion is nonlinearly amplified and accumulated to form a cross-area crossing risk value. This enables quantitative assessment of the hidden dangers of cross-area crossing of hazardous chemical transportation and accurate positioning of key intrusion locations, providing a clear and implementable verification basis for subsequent detour rectification and safety isolation optimization.

[0053] Specifically, the process of comparing the risk value of cross-regional crossing with the risk threshold to locate key intrusion edges and candidate detour edges is as follows: The cross-regional crossing risk value of each hazardous chemical logistics path in the hazardous chemical logistics flow line set is calculated. This risk value is obtained by cumulatively calculating the logarithmic penalty of the passage lengths of all intrusion edges in the restricted area that fall into the set of prohibited connected edges for hazardous chemical logistics. This value is used to quantify the degree of intrusion of hazardous chemical logistics into public or clean passage areas. If the cross-regional crossing risk value is greater than the risk threshold, it is determined to be a hazardous chemical crossing risk path. The risk threshold is a preset hazardous chemical logistics restricted area intrusion compliance judgment threshold, preferably set based on the hazardous chemical transportation isolation requirements and design safety level, used to distinguish compliant paths from abnormal paths with potential cross-regional crossing risks. For each hazardous chemical crossing risk path, the connected edges that fall into the set of prohibited connected edges for hazardous chemical logistics are counted, and the corresponding connected edge numbers are marked as restricted area intrusion positions. These restricted area intrusion positions are used to identify the specific passage edges in the hazardous chemical logistics path where cross-regional crossing actually occurs, providing spatial positioning anchors for subsequent detour rectification. The logarithmic penalty values ​​of the passage lengths along hazardous chemical crossing risk paths are sorted in descending order. These values ​​highlight the dominant contribution of long-distance restricted zone intrusion edges to risk. The sorting process identifies the critical crossing passages with the greatest risk contribution, and the connected edge with the largest logarithmic penalty value is selected as the critical intrusion edge. This critical intrusion edge represents the most significant restricted zone intrusion edge along the hazardous chemical crossing risk path, signifying the core bottleneck location of cross-regional hazardous chemical logistics risks. For each critical intrusion edge, an alternative connected edge set is retrieved from the weighted spatial topology graph, generating a candidate detour edge set that avoids the set of prohibited connected edges for hazardous chemical logistics. The alternative connected edge set is the set of replaceable passageway edges between the two ends of the critical intrusion edge. Specifically, using the two ends of the critical intrusion edge as the start and end points, a constrained shortest path search is performed in the weighted spatial topology graph. All connected edges in the set of prohibited connected edges for hazardous chemical logistics are removed as prohibited edges. Alternative transportation paths are re-searched on the remaining passable connected edges, and the connected edge sequences contained in the alternative paths are extracted as the alternative connected edge set. The resulting candidate detour edge set is used to construct a hazardous chemical logistics detour rectification plan that satisfies the isolation constraints, ensuring that the generated candidate detour edge set can form alternative transportation paths that satisfy the isolation constraints, thereby providing an implementable engineering optimization plan for subsequent hazardous chemical logistics detour rectification actions. If, after removing the prohibited connected edges for hazardous chemical logistics, there is no feasible path for the hazardous chemical logistics business flow, an unreachable rectification mode is triggered, generating a dedicated hazardous chemical channel marker or an isolation channel addition action, and the newly added channel is used as a candidate alternative edge to re-execute path verification.

[0054] This implementation plan can automatically identify potential intrusion hazards into restricted areas in hazardous chemical logistics routes based on cross-regional crossing risk values, and pinpoint the key intrusion edges with the greatest risk contribution through logarithmic penalty sorting of channel length, thereby achieving precise location of bottlenecks in cross-regional crossings. Furthermore, it removes prohibited connected edges for hazardous chemical logistics on the weighted spatial topology map and re-searches for alternative routes, forming a set of candidate detour edges that meet the isolation constraints between public and clean passage areas. This provides a clear and feasible optimization basis for the engineering detour rectification of hazardous chemical transportation routes, effectively reducing the risks of cross-regional crossings and pollution spread of hazardous chemical logistics.

[0055] Specifically, the process of determining the degree of shared intrusion into clean passage areas based on shared cross-events, obtaining a clean passage shared intrusion value, and comparing this value with the intrusion threshold to determine the hidden risk of reverse cross-contamination is as follows: All connected edges belonging to clean passage areas in the weighted spatial topology graph are statistically analyzed, and the channel length weights are accumulated to obtain the clean passage area channel length. Here, the clean passage area connected edges are the set of channel edges marked as clean passage areas in the functional type label, and the clean passage area channel length is the total passage scale of the clean isolation channel, used as a normalization benchmark for subsequent calculation of the shared intrusion ratio. For each cross-event in the cross-event set, the channel length weight of the corresponding shared connected edge is divided by the clean passage area channel length to obtain the clean shared length ratio. Here, the cross-event is the event number where personnel passage paths and waste logistics paths share the same clean passage area connected edge. The shared connected edge indicates a potential cross-location where contaminant flow intrudes into the clean passage channel, and the clean shared length ratio is used to quantify the degree of intrusion contribution of the cross-event to the clean passage area. The clean passage shared intrusion value is obtained by summing the proportions of the clean shared lengths corresponding to all cross events. This value is primarily used for functional zoning topology verification during the pre-construction planning phase of the laboratory building. Its core objective is to identify potential cross-intrusion locations in the spatial structure between waste logistics paths and clean personnel passage paths in the absence of actual operational event sequences, thus providing clear risk anchors for subsequent zoning rectification and optimization. Therefore, this invention does not rely on operational data such as access control time, logistics scanning frequency, or overlapping passage sequences. Instead, it uses spatial connectivity relationships and clean passage area channel dimensions directly obtainable from the BIM model to conduct a priori verification of the "structural feasibility" of potential pollution reverse cross-intrusion hazards. The clean passage shared intrusion value is characterized by summing the proportions of the shared connected edge channel length to the total clean passage area length. The design principle is that, in the pre-construction planning scenario, once waste logistics intrudes into the clean passage area, the risk primarily depends on the spatial coverage of the intrusion. The longer the intruding connected edge and the larger the shared range, the wider the potential area affected by reverse pollution cross-intrusion, and the higher the necessity for isolation and rectification. By normalizing the length ratio, consistency and comparability of risk assessment can be maintained across different laboratory building scales and clean access network sizes. This effectively avoids introducing dynamic behavioral parameters that are difficult to obtain during the planning phase, ensuring that the data sources for verification indicators are clear, the calculation process is feasible, and the risk location results can be directly used to generate subsequent isolation and rectification actions. Therefore, this invention uses the clean shared length ratio as the basic characterization method for the hidden risk of reverse cross-contamination in the pre-construction stage. This enables early exposure of shared intrusion locations and precise location of key connecting edges, providing a stable and reliable engineering basis for functional zoning configuration verification and optimization scheme output.The clean passage shared intrusion value is compared with the intrusion threshold. If the clean passage shared intrusion value is greater than the intrusion threshold, a shared intrusion risk scheme is identified. The intrusion threshold is a preset clean isolation compliance judgment threshold, preferably set according to clean passage isolation requirements and laboratory pollution control levels, used to distinguish between clean isolation compliant schemes and abnormal schemes with shared intrusion risks. The clean sharing length ratio of each cross event is sorted in descending order, and the shared connected edge with the largest ratio is output. The shared connected edge with the largest ratio is the key dominant channel of clean passage shared intrusion risk, used as the key isolation location for subsequent rectification and optimization. The set of alternative passage edges that do not pass through the shared connected edges is retrieved in the weighted spatial topology graph. The set of alternative passage edges is preferably obtained by removing the shared connected edges in the topology graph and re-performing the constraint shortest path search to ensure that the waste logistics path can bypass the shared intrusion channel of the clean passage area, thereby forming alternative passage schemes that meet the clean isolation constraints, providing an implementable engineering optimization basis for subsequent clean passage isolation rectification actions. In this invention, the aforementioned closed-loop integrity check value, cross-area traversal risk value, and clean passage shared intrusion value are first calculated. Based on these values, the broken chain missing nodes, key intrusion edges, and shared dominant edges are located. Then, a constraint path search is performed to generate supplementary or detour schemes, rather than directly imposing global constraints on necessary nodes or prohibited areas in the initial stage. The reason for this is that the functional zoning configuration of the experimental building is in the pre-construction planning and verification stage. The passage paths for sample transfer, hazardous chemical logistics, and waste logistics often have multiple candidate schemes, and some public passage areas and clean passage areas may simultaneously undertake necessary connectivity functions in the early design stage. If strict prohibition or forced closed-loop constraints are directly imposed in the initial modeling stage, it is easy to cause infeasible paths in the topology network, thereby masking the location and contribution of potential broken chain risks, cross-area traversal risks, and shared intrusion risks, and failing to achieve early exposure and accurate location of hidden risks. By first calculating the judgment value and quantifying the risk contribution based on the original set of feasible paths, it is possible to identify the risk-dominant nodes and key channel edges while maintaining network connectivity. Then, the minimum necessary constraints are applied to the local area with the greatest risk contribution and alternative paths are searched again. This forms a verification strategy of "first risk positioning, then gradual rectification and optimization", which avoids excessive constraints that make the solution unfeasible and improves the pertinence of rectification actions and the feasibility of project implementation.

[0056] The specific formula for the shared intrusion value for clean passage is as follows:

[0057] ;

[0058] In the formula, This indicates the shared intrusion value for clean passage, which is used to quantitatively assess the hidden risk of reverse cross-contamination of pollution, such as "whether the waste logistics path intrudes into the clean passage area," during the functional zoning verification stage before laboratory construction. This represents the cross event index, indicating a specific "shared clean connected edge event" number; This represents the index of the connected edges in the clean passage area, used to traverse and sum all the edges of the passage in the clean passage area; This represents the set of connected edges belonging to the clean passage area, and the set of connected edges in the weighted spatial topology graph whose functional type label is "clean passage area". The channel length weight of the shared connected edge corresponding to the cross event is used to characterize the risk contribution of the shared intrusive edge on a physical scale. This represents the channel length weight of the connected edges belonging to the clean passage area, used to calculate the total scale of the clean passage area channel length; This represents the length of the clean passageway, used to convert the contribution of a single intrusion edge into a "proportion of the total clean passageway area".

[0059] This implementation plan enables the identification of potential shared intersections of personnel passage and waste logistics within clean passage areas based on weighted spatial topology maps during the pre-construction planning stage. It quantitatively characterizes the degree of intrusion of pollutant flow into clean isolation channels by using the clean shared length ratio and clean passage shared intrusion value, thereby identifying the dominant connected edge with the greatest risk contribution. Simultaneously, it combines closed-loop integrity verification values ​​and cross-area crossing risk values ​​to comprehensively locate broken chain nodes, key intrusion edges, and shared intrusion channels. While maintaining topological connectivity, it then performs constraint path search to generate a minimum isolation detour rectification plan, thereby achieving early exposure, precise location, and engineering feasibility optimization support for the hidden risks of reverse pollution intersections.

[0060] Specifically, the process of generating supplementary connection, detour, and isolation rectification actions based on the comparison results of closed-loop integrity check value, cross-area crossing risk value, and clean passage shared intrusion value, incrementally updating the weighted spatial topology map, and verifying and outputting the optimized and compliant configuration scheme that meets the constraints is as follows: reading the supplementary connection candidate edge set, adding connecting edges as candidate supplementary connection edges for the room nodes corresponding to the missing nodes, and generating sample flow closed-loop supplementary connection rectification actions under the premise of meeting building codes and structural permits; among them, the supplementary connection candidate edges are the passage edges that can add doorways or adjust corridor connections obtained based on the adjacent spatial structure of the missing nodes, which are used to restore the topological connectivity of the nodes that the sample flow must pass through, thereby eliminating the risk of closed-loop chain breakage. The system reads the sets of critical intrusion edges and candidate detour edges, replaces the critical intrusion edges with candidate detour edges in the hazardous chemical logistics path, generates hazardous chemical logistics detour rectification actions, and updates the hazardous chemical logistics flow line set. The critical intrusion edges are the restricted area intrusion channels that contribute the most to the risk of hazardous chemical logistics crossing areas. The candidate detour edge set is the sequence of alternative passage edges obtained by re-searching after removing prohibited connected edges. This replacement allows for effective detours of hazardous chemical transportation paths from public and clean passage areas. The system also reads the shared connected edges with the largest proportion, removes them in the abandoned logistics path, and loads the set of alternative passage edges, generating clean passage isolation rectification actions and updating the abandoned logistics flow line set. The shared connected edges with the largest proportion are the dominant channel edges with shared intrusion risk in clean passages. The alternative passage edge set is the abandoned logistics alternative path recalculated after excluding shared connected edges in the topology graph, used to achieve spatial isolation between contaminated and clean passage flow lines. Simultaneously, for each rectification action, the weighted spatial topology graph is updated. Incremental updates include topological adjustments for newly added, replaced, and removed connected edges, and the corresponding edge channel length weights, function type labels, and partition constraint attribute identifiers are updated synchronously to ensure that the rectified topology graph can continue to be used for subsequent verification calculations. Furthermore, in all combinations of rectification actions, the closed-loop integrity verification value, cross-regional traversal risk value, and clean passage shared intrusion value are recalculated to consistently verify the coverage of the rectified sample flow closed loop, the degree of intrusion into hazardous chemical logistics restricted areas, and the risk of clean passage shared intrusion, ensuring that the rectification actions do not introduce new hidden risk paths. The phrase "among all combinations of rectification actions" does not mean an unconstrained exhaustive enumeration of all possible rectification actions. Rather, it means a limited and controllable search of the space for combinations of rectification actions based on the feasibility of the project as verified in the pre-construction planning. Specifically, when generating rectification actions such as connecting, detouring, and isolating, it is preferable to construct a set of rectification candidates only for the broken chain nodes, key intrusion edges, and shared dominant edges identified in the aforementioned risk positioning results. This limits the rectification actions to the local key areas with the greatest risk contribution, avoiding global adjustments to unrelated channels.Furthermore, for each type of rectification action, it is preferable to set an upper limit on the number of candidates. For example, the set of candidate connecting edges retains only the top N candidate connecting edges that satisfy structural permission and have the lowest passage cost; the set of candidate detour edges retains only the top M alternative detour paths that satisfy the prohibition constraint; and the set of alternative passage edges retains only the top Q candidate isolation paths with the best shared intrusion avoidance effect. This ensures that the scale of the rectification action combination is controllable within the engineering calculation range. Here, N represents the upper limit of the number of retained candidate connecting edges, M represents the upper limit of the number of retained candidate detour paths, and Q represents the upper limit of the number of retained candidate isolation paths. N, M, and Q are all positive integers, and their values ​​are preferably determined adaptively based on the number in the set, with a preferred value range of 2 to 8. Based on this, a step-by-step iterative heuristic review strategy is preferred: the rectification actions are incrementally updated in the order of "closed-loop chain break rectification first, hazardous chemical crossing rectification second, and clean intrusion rectification last." After each update, the closed-loop integrity check value, cross-area crossing risk value, and clean passage shared intrusion value are recalculated. When all judgment values ​​meet the threshold constraints, the search is terminated and the current rectification plan is output. Therefore, replacing global exhaustive search with a method of "risk-driven edge constraint, upper limit on the number of candidate actions, and progressive iterative review" effectively avoids combinatorial explosion and ensures that the rectification and optimization process has clear computational boundaries and engineering feasibility. The rectification scheme that meets all threshold conditions and has the fewest number of rectification actions and newly added connected edges is selected as the optimized compliant rectification scheme. The minimum number of rectification actions constrains the scale of engineering modifications in the optimized scheme, and the minimum number of newly added connected edges reduces the construction costs and spatial disturbance of adjusting new doorways or corridors, thus forming an optimal rectification configuration that balances compliance and feasibility. The optimized compliant rectification scheme is then output. Through the aforementioned progressive rectification and review process, an optimized configuration scheme for functional zoning that meets the requirements of sample closure, hazardous chemical isolation, and cleanroom pollution prevention can be automatically generated, providing clear and feasible rectification decision support for the planning and design of the laboratory building.

[0061] This implementation plan, based on the location of risks such as chain disruption, restricted area intrusion, and cleanroom sharing intrusion, can generate minimum engineering rectification actions for sample transfer reconnection, hazardous chemical logistics detour, and cleanroom access isolation, respectively. It also enables rapid iterative verification of rectification plans through incremental updates of weighted spatial topology maps. Simultaneously, it selects the optimal and compliant configuration plan from multiple rectification action combinations that meets the constraints of closed-loop integrity, restricted area isolation, and cleanroom pollution prevention while minimizing the scale of changes. This eliminates hidden risks and enhances the feasibility of laboratory functional zoning plans in the pre-construction stage, providing quantitative and implementable rectification decision support for planning and design.

[0062] Reference Figure 2As shown, the second aspect of the present invention provides a functional zoning configuration verification system for laboratory needs, applied to the aforementioned functional zoning configuration verification method for laboratory needs, including: a spatial data acquisition module, used to collect access geometry data and room access connection relationships using the laboratory building BIM model, and write functional type labels for room nodes and passages, while assigning zoning constraint attribute identifiers, performing preprocessing on the data and constructing a weighted spatial topology map; a business flow modeling module, used to form a set of feasible paths for personnel access, sample flow, hazardous chemical logistics and waste logistics on the weighted spatial topology map, and construct a set of mandatory sample nodes, a set of prohibited connected edges for hazardous chemical logistics, a set of prohibited connected edges for waste logistics and a set of shared cross events in the clean access area based on the functional type labels; and a flow risk verification module, used to verify the sample flow... The system performs closed-loop coverage assessment and detour deviation judgment for route changes, obtaining a closed-loop integrity check value. It then compares this check value with the closed-loop threshold to identify chain break risk nodes and candidate edges for reconnection. For hazardous chemical logistics routes, it performs restricted area intrusion assessment, obtaining cross-area crossing risk values. These values ​​are then compared with risk thresholds to locate key intrusion edges and candidate detour edges. For shared cross-intrusion events, it determines the degree of shared intrusion in clean passage areas, obtaining clean passage shared intrusion values. These values ​​are then compared with intrusion thresholds to determine hidden risks of reverse cross-contamination. The zone rectification and optimization module generates reconnection, detour, and isolation rectification actions based on the comparison results of the closed-loop integrity check value, cross-area crossing risk value, and clean passage shared intrusion value. It incrementally updates the weighted spatial topology map, verifies and outputs optimized compliance configuration schemes that meet constraints.

[0063] This implementation plan enables the construction of a weighted spatial topology map based on the laboratory building's BIM model during the pre-construction planning stage. It also automatically models various business flows, including personnel access, sample transfer, hazardous chemical logistics, and waste logistics. Through closed-loop coverage assessment, restricted area intrusion determination, and cleanroom sharing intrusion analysis, it achieves quantitative verification and key location positioning of chain break risks, cross-area crossing risks, and reverse pollution cross-contamination hazards. Furthermore, it generates minimum rectification actions such as reconnection, detour, and isolation, and iteratively reviews and outputs optimized compliance configuration solutions, thereby significantly improving the safety, isolation, and engineering feasibility of the laboratory's functional zoning configuration.

[0064] It should be noted that, in this document, 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 any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0065] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. As those skilled in the art will understand, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for verifying the functional zoning configuration based on laboratory needs, characterized in that: Includes the following steps: S1. Use the BIM model of the experimental building to collect access geometry data and room access connection relationships, write function type labels for room nodes and passages, assign partition constraint attribute identifiers, perform data preprocessing and construct a weighted spatial topology map. S2 forms a set of feasible paths for personnel passage, sample flow, hazardous chemical logistics and waste logistics on a weighted spatial topology graph, and constructs a set of mandatory nodes for samples, a set of prohibited connected edges for hazardous chemical logistics, a set of prohibited connected edges for waste logistics and a set of shared cross events in the clean passage area based on functional type labels. S3 performs closed-loop coverage assessment and detour deviation judgment on the sample flow path to obtain the closed-loop integrity check value. The closed-loop integrity check value is compared with the closed-loop threshold to identify chain break risk nodes and candidate edges for reconnection. For hazardous chemical logistics paths, a restricted area intrusion assessment is performed to obtain the cross-area crossing risk value. The cross-area crossing risk value is compared with the risk threshold to locate key intrusion edges and candidate detour edges. For shared cross events, the degree of shared intrusion in the clean passage area is judged to obtain the clean passage shared intrusion value. The clean passage shared intrusion value is compared with the intrusion threshold to determine the hidden risk of reverse cross-contamination. S4 generates supplementary, detour, and isolation rectification actions based on the comparison results of closed-loop integrity check value, cross-regional crossing risk value, and clean passage shared intrusion value. It incrementally updates the weighted spatial topology map, reviews the optimized compliance configuration scheme that meets the constraints, and outputs it.

2. The functional zoning configuration verification method for laboratory needs according to claim 1, characterized in that, The specific process of collecting access geometry data and room access connection relationships using the BIM model of the experimental building, writing function type labels for room nodes and passages, assigning partition constraint attribute identifiers, performing data preprocessing, and constructing a weighted spatial topology map is as follows: Using the current BIM model of the laboratory building, the door coordinates of the laboratory rooms are collected, and the passable connections between rooms are obtained simultaneously. Connecting edges are formed by collecting the passable connections between rooms, and the passage lengths of these connecting edges are collected. A spatial connecting edge set is constructed using all connecting edges, and a set of room nodes is constructed for all rooms. The laboratory room list and process design requirements are read, and room usage attributes are collected. Functional type labels are written for the corresponding rooms, including: sample receiving area, processing area, testing area, waste storage area, and hazardous chemical storage area. The attributes of passages in the BIM model are also collected, and functional type labels are written for the corresponding connecting edges, including: public passage area and clean passage area. Based on the room and passage attributes, partition constraint attribute identifiers are assigned to the corresponding room nodes and connecting edges, including: waste pollution source attribute identifier, hazardous chemical area attribute identifier, clean passage attribute identifier, and public passage attribute identifier. Normalization is performed on the channel length, consistency checks are performed on the set of spatially connected edges, unified encoding is performed on the function type labels, and consistency processing is performed on the partition constraint attribute identifiers. Room nodes are used as nodes of the topology graph, spatially connected edges are used as edges of the topology graph, normalized channel lengths are used as weights of the corresponding edges, and each node and edge is assigned a corresponding function type label and partition constraint attribute identifier to construct a weighted spatial topology graph.

3. The functional zoning configuration verification method for laboratory needs according to claim 1, characterized in that, The specific process of forming a set of feasible paths for personnel passage, sample flow, hazardous chemical logistics, and waste logistics on a weighted spatial topology graph, and constructing a set of mandatory sample nodes, a set of prohibited connected edges for hazardous chemical logistics, a set of prohibited connected edges for waste logistics, and a set of shared cross-events in the clean passage area based on functional type labels is as follows: On the weighted spatial topology, based on functional type labels and partition constraint attribute identifiers, K-shortest path search yields sets of personnel flow lines, sample transfer flow lines, hazardous chemical logistics flow lines, and waste logistics flow lines, respectively. The personnel flow line set is defined as the set of feasible paths forming continuous passage on the weighted spatial topology; the sample transfer flow line set is defined as the set of feasible paths where the starting node is the sample receiving area and the ending node is the waste temporary storage area; the hazardous chemical logistics flow line set is defined as the set of feasible paths where the starting node is the hazardous chemical temporary storage area and the ending node is the treatment area; and the waste logistics flow line set is defined as the set of feasible paths where the starting node has a waste pollution source attribute identifier of 1 and the ending node is the waste temporary storage area. The sample receiving area, processing area, testing area, and waste storage area are designated as essential nodes for sample flow, and a set of essential sample flow nodes is constructed. Connecting edges belonging to the public passage area are counted, and a set of prohibited connecting edges for hazardous chemical logistics is constructed. Connecting edges belonging to the clean passage area are counted, and a set of prohibited connecting edges for waste logistics is constructed. The connecting edge sequence of each path in the personnel flow line set and the connecting edge sequence of each path in the waste logistics flow line set are extracted. It is determined whether there are shared connecting edges belonging to the clean passage area between the two types of paths. Each shared connecting edge is treated as an intersection event, and a set of intersection events is constructed.

4. The functional zoning configuration verification method for laboratory needs according to claim 1, characterized in that, The specific process of performing closed-loop coverage assessment and detour deviation determination on the sample flow path to obtain the closed-loop integrity verification value is as follows: For each sample flow path in the sample flow streamline set, extract the actual set of nodes traversed; calculate the intersection of the actual set of nodes traversed and the set of nodes that the sample must pass through, and divide it by the length of the set of nodes that the sample must pass through to obtain the coverage value of the nodes that the sample must pass through. The current passage length is obtained by accumulating the channel length weights of the current sample flow path, and the shortest passage length in the sample flow path set is selected. The current passage length is divided by the shortest passage length, and the opposite number is taken as the exponent. Natural exponentiation is then performed to obtain the passage detour penalty value. The closed-loop integrity check value is obtained by multiplying the coverage value of the mandatory nodes of the sample by the passage and detour penalty value.

5. The functional zoning configuration verification method for laboratory needs according to claim 1, characterized in that, The specific process of comparing the closed-loop integrity check value with the closed-loop threshold to identify nodes at risk of broken links and candidate edges for connection is as follows: Calculate the closed-loop integrity check value for each sample flow path in the sample flow pipeline set. If the closed-loop integrity check value is less than the closed-loop threshold, it is determined to be a closed-loop chain break risk path. For each closed-loop chain break risk path, read the actual set of nodes passed through, calculate the missing nodes that are not covered in the set of nodes that the sample must pass through, and take the functional type label corresponding to the missing node as the chain break cause. Locate the connected edge with the largest passage length weight in the path as the detour dominant edge. Based on the chain break cause, search for the connected edges adjacent to the current missing node in the weighted spatial topology graph to obtain the set of candidate edges for connection.

6. The functional zoning configuration verification method for laboratory needs according to claim 1, characterized in that, The specific process for performing restricted area intrusion assessment on hazardous chemical logistics routes to obtain cross-regional crossing risk values ​​is as follows: For each hazardous chemical logistics path in the set of hazardous chemical logistics flow lines, the set of actual connected edges traversed by the hazardous chemical logistics path is extracted. For connected edges in the set of actual connected edges that fall into the set of connected edges prohibited by hazardous chemical logistics, the corresponding passage length weight is read. The current passage length weight is divided by the mean of the passage length weights in the weighted spatial topology graph, and the natural logarithm is taken to obtain the logarithmic penalty value of the passage length. The corresponding logarithmic penalty value of the passage length is calculated for all connected edges that fall into the set of connected edges prohibited by hazardous chemical logistics, and the values ​​are accumulated to obtain the cross-regional crossing risk value.

7. The functional zoning configuration verification method for laboratory needs according to claim 1, characterized in that, The specific process of comparing the risk value of cross-regional crossing with the risk threshold to locate key intrusion edges and candidate detour edges is as follows: Calculate the cross-regional crossing risk value for each hazardous chemical logistics path in the hazardous chemical logistics flow line set. If the cross-regional crossing risk value is greater than the risk threshold, it is determined to be a hazardous chemical crossing risk path. For each hazardous chemical crossing risk path, count the connected edges that fall into the set of hazardous chemical logistics prohibited connected edges, and mark the corresponding connected edge number as the prohibited intrusion position. Sort the logarithmic penalty value of the channel length of the hazardous chemical crossing risk path in descending order, and select the connected edge with the largest logarithmic penalty value of the channel length as the key intrusion edge. For the key intrusion edge, search the set of alternative connected edges in the weighted spatial topology graph to generate a set of candidate detour edges that do not pass through the set of hazardous chemical logistics prohibited connected edges.

8. The functional zoning configuration verification method for laboratory needs according to claim 1, characterized in that, The specific process for determining the degree of shared intrusion in the clean passage area based on shared cross-incident events, obtaining the clean passage shared intrusion value, and comparing the clean passage shared intrusion value with the intrusion threshold to determine the hidden risk of reverse cross-contamination is as follows: The clean passage passage length is obtained by summing the channel length weights of all connected edges belonging to the clean passage area in the weighted spatial topology graph. For each cross event in the cross event set, the clean shared length ratio is obtained by dividing the channel length weight of the corresponding shared connected edge by the clean passage passage length. The clean shared length ratios of all cross events are summed to obtain the clean passage shared intrusion value. The clean passage shared intrusion value is compared with the intrusion threshold. If the clean passage shared intrusion value is greater than the intrusion threshold, it is determined that there is a shared intrusion risk scheme. The clean sharing length ratio of each cross event is sorted in descending order, and the shared connected edge with the largest ratio is output. Then, the set of alternative passage edges for abandoned logistics paths that do not pass through the shared connected edges is retrieved in the weighted spatial topology graph.

9. The functional zoning configuration verification method for laboratory needs according to claim 1, characterized in that, The specific process of generating supplementary connection, detour, and isolation rectification actions based on the comparison results of closed-loop integrity check value, cross-regional crossing risk value, and clean passage shared intrusion value, incrementally updating the weighted spatial topology map, and verifying and outputting the optimized compliance configuration scheme that meets the constraints is as follows: Read the candidate edge set for supplementary connections, add connecting edges as candidate supplementary edges for the room nodes corresponding to the missing nodes, and generate sample flow closed-loop supplementary connection rectification actions; read the key intrusion edge and candidate detour edge set, replace the key intrusion edge with the candidate detour edge in the hazardous chemical logistics path, generate hazardous chemical logistics detour rectification actions, and update the hazardous chemical logistics flow line set; read the shared connecting edge with the largest proportion, remove it in the abandoned logistics path and load the alternative passage edge set, generate clean passage isolation rectification actions, and update the abandoned logistics flow line set; Simultaneously, for each rectification action, the weighted spatial topology graph is updated, and among all combinations of rectification actions, the closed-loop integrity check value, cross-regional crossing risk value, and clean passage shared intrusion value are recalculated. The rectification scheme that meets all threshold conditions and has the fewest number of rectification actions and newly added connected edges is selected as the optimized compliant rectification scheme, and the optimized compliant rectification scheme is output.

10. A functional zoning configuration verification system for laboratory needs, characterized in that: include: The spatial data acquisition module is used to collect access geometry data and room access connection relationships using the experimental building BIM model, write function type labels for room nodes and passages, assign partition constraint attribute identifiers, perform data preprocessing, and construct a weighted spatial topology map. The business flow modeling module is used to form a set of feasible paths for personnel passage, sample transfer, hazardous chemical logistics and waste logistics on a weighted spatial topology graph, and to construct a set of mandatory nodes for samples, a set of prohibited connected edges for hazardous chemical logistics, a set of prohibited connected edges for waste logistics and a set of shared cross events in the clean passage area based on functional type labels. The streamline risk verification module is used to perform closed-loop coverage assessment and detour deviation judgment on sample flow paths, obtain closed-loop integrity verification values, and compare the closed-loop integrity verification values ​​with closed-loop thresholds to identify chain break risk nodes and candidate edges for reconnection; it performs restricted area intrusion assessment on hazardous chemical logistics paths, obtains cross-area crossing risk values, and compares the cross-area crossing risk values ​​with risk thresholds to locate key intrusion edges and candidate detour edges; it judges the degree of shared intrusion in clean passage areas for shared cross-intrusion events, obtains clean passage shared intrusion values, and compares the clean passage shared intrusion values ​​with intrusion thresholds to determine the hidden risk of reverse cross-contamination. The zone rectification and optimization module is used to generate supplementary, detour, and isolation rectification actions based on the comparison results of closed-loop integrity verification value, cross-zone crossing risk value, and clean passage shared intrusion value. It incrementally updates the weighted spatial topology map, reviews and outputs the optimized compliance configuration scheme that meets the constraints.

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