Construction site potential safety hazard real-time troubleshooting and traceability system based on big data

Abstract

The invention discloses a construction site potential safety hazard real-time troubleshooting and traceability system based on big data, and belongs to the technical field of building construction safety management, and the system comprises a plurality of sensing terminals which are configured to capture original safety state data of a construction site, and perform real-time troubleshooting and traceability by constructing a hierarchical decoupling and bidirectional multipath standardized communication architecture. Firstly, efficient, reliable and orderly transmission of mass heterogeneous security data from the site to the cloud is realized; on the basis, the system can perform second-level accurate tracing on any hidden danger event by virtue of a tracing index mechanism integrated at the cloud end, so that the investigation efficiency is greatly improved; meanwhile, the system supports the analysis instruction and the control command to be flexibly issued to a designated terminal or an execution device in real time along a preset path, and intelligent closed loop from sensing, analysis to response is achieved; the modular communication design also endows the system with strong expansibility and adaptability, and the system can be flexibly deployed in construction scenes of different scales, thereby fundamentally improving the intrinsic safety level of the construction site.

Description

Technical Field

[0001] This invention relates to the field of construction safety management technology, and more specifically, to a real-time investigation and tracing system for safety hazards at construction sites based on big data. Background Technology

[0002] With the popularization of the smart construction site concept, collecting on-site safety data using various sensors, cameras, and mobile terminals has become an industry trend. Existing technical solutions typically focus on deploying multiple front-end sensing devices and aggregating the data to local servers or cloud platforms for processing via wireless networks.

[0003] Patent CN113095633A discloses a component-based system for identifying safety hazards at construction sites. It includes several on-site monitoring devices, a wireless communication module, a mobile terminal, and an enterprise hazard identification architecture platform. The mobile terminal connects to each of the on-site monitoring devices via the wireless communication module and is network-connected to the enterprise hazard identification architecture platform. The enterprise hazard identification architecture platform includes a data dashboard module, a safety planning module, a safety implementation module, a safety evaluation module, a basic setup module, and a data support module. The purpose of this invention is to provide a component-based system for identifying safety hazards at construction sites. This system can manage the entire process of identifying, reporting, monitoring, rectifying, verifying, eliminating, and statistically analyzing safety hazards at construction sites, preventing safety accidents, ensuring the safety of projects under construction, and keeping the construction management process under control.

[0004] Although the system can prevent safety accidents, ensure the safety of projects under construction, and keep the construction management process under control, its core communication mode is mostly a simple one-way link of data collection-upload-centralized display. In actual complex construction environments, this architecture exposes significant limitations. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a real-time investigation and tracing system for safety hazards at construction sites based on big data, thus solving the aforementioned problems.

[0006] To achieve the above-mentioned objectives, the present invention provides the following technical solution: a real-time investigation and tracing system for safety hazards at construction sites based on big data, the system comprising: Multiple sensing terminals are configured to capture raw safety status data at the construction site; At least one edge aggregation gateway is communicatively connected to multiple of the sensing terminals; Multiple regional wireless access points are communicatively connected to at least one of the aforementioned edge aggregation gateways and multiple mobile inspection terminals; The construction site LAN core switch communicates with multiple wireless access points in the area. A secure data preprocessing server is communicatively connected to the core switch of the construction site's local area network. A wide area network interface device is communicatively connected to the secure data preprocessing server. The cloud-based big data analytics platform communicates with the wide area network interface device via a wide area network. The traceability index database is connected to the cloud-based big data analysis platform. Multiple security management terminals communicate with the security data preprocessing server and the cloud-based big data analysis platform through the construction site LAN core switch or WAN. Data streams from the sensing terminals and mobile inspection terminals are aggregated to the security data preprocessing server via the edge aggregation gateway, the regional wireless access point, and the construction site LAN core switch, and then uploaded to the cloud big data analysis platform via the wide area network interface device. The analysis results and tracing instructions generated by the cloud big data analysis platform are sent to the security management terminal and mobile inspection terminal via the reverse path or directly via the wide area network.

[0007] Preferably, the first communication link between the sensing terminal and the edge aggregation gateway adopts a first wireless communication protocol, and the communication frame of the first wireless communication protocol encapsulates the sensing terminal identifier, timestamp, and original sensing data payload; the edge aggregation gateway periodically broadcasts a first synchronization beacon to the sensing terminals under its jurisdiction, and the sensing terminals adjust their data transmission time slots according to the first synchronization beacon.

[0008] Preferably, the edge aggregation gateway aggregates data from multiple sensing terminals and encapsulates it into a first aggregated data packet. The first aggregated data packet includes a gateway identifier, a data packet sequence number, and multiple encapsulated data units from different sensing terminals. The edge aggregation gateway establishes a second communication link with the regional wireless access point through a second wireless communication protocol for transmitting the first aggregated data packet.

[0009] Preferably, the mobile inspection terminal establishes a third communication link with the regional wireless access point through a third wireless communication protocol; the inspection data packet sent by the mobile inspection terminal includes a terminal identifier, real-time location coordinates, manual inspection record data, and multimedia attachment hash value; the regional wireless access point mixes and forwards the inspection data packet received from the mobile inspection terminal with the first aggregated data packet received from the edge aggregation gateway to form a second aggregated data stream, which is then sent to the construction site LAN core switch.

[0010] Preferably, the security data preprocessing server communicates with the core switch of the construction site's local area network via a wired Ethernet protocol; the security data preprocessing server extracts data from the second aggregated data stream, performs format standardization and local deduplication processing, and generates standardized data frames; the standardized data frames are appended with the construction site identification code and the preprocessing server's timestamp, and then transmitted to the cloud-based big data analysis platform through the wide area network interface device via an encrypted tunnel.

[0011] Preferably, after receiving standardized data frames, the cloud-based big data analysis platform disassembles and writes them into a distributed data warehouse. At the same time, it generates an associated index based on the spatiotemporal attributes and entity identifiers in the data and stores it in the traceability index database. Each index record in the traceability index database is associated with at least one hidden danger event identifier, one set of data source identifiers, one time range stamp, and one spatial coordinate range.

[0012] Preferably, when the cloud-based big data analysis platform generates a hazard alarm instruction, the hazard alarm instruction includes a hazard event identifier, an alarm level code, a suggested handling measure code, and an associated traceability index pointer; the hazard alarm instruction is sent to the designated safety management terminal via a first downlink path through a wide area network, a wide area network interface device, and a construction site local area network core switch, and is directly pushed to the relevant mobile inspection terminal via a second downlink path through the wide area network.

[0013] Preferably, after receiving the hazard alarm instruction, the safety management terminal initiates a source tracing query request to the cloud-based big data analysis platform. The source tracing query request carries the hazard event identifier. The cloud-based big data analysis platform queries the source tracing index database based on the hazard event identifier to obtain the associated set of data source identifiers. It then retrieves the corresponding original standardized data frames and derived analysis results from the distributed data warehouse, encapsulates them into a source tracing data packet, and returns it to the terminal that initiated the request.

[0014] Preferably, the system also includes multiple audible and visual alarm devices, which are communicatively connected to the edge aggregation gateway or the regional wireless access point. The cloud-based big data analysis platform or security data preprocessing server can generate direct control commands containing the target alarm device identifier and alarm mode code. These commands are routed through the construction site LAN core switch, the regional wireless access point, or the edge aggregation gateway, and are ultimately sent to the designated audible and visual alarm device.

[0015] Preferably, the system also includes multiple positioning beacons distributed throughout the construction area, personnel identification cards worn by personnel, and equipment status identification modules attached to the equipment. The personnel identification cards and equipment status identification modules interact with the positioning beacons and regional wireless access points via signaling. The interaction data is captured by the regional wireless access points and integrated into the second aggregated data stream. The signals transmitted by the personnel identification cards contain encrypted personnel identification codes, and the signals transmitted by the equipment status identification modules contain unique equipment codes and basic status identification bits. The personnel and equipment data associated with the index records in the traceability index database originate from the parsing of relevant signaling in the second aggregated data stream.

[0016] Compared with existing technologies, this invention provides a real-time investigation and tracing system for safety hazards at construction sites based on big data, which has the following beneficial effects: This big data-based real-time safety hazard investigation and tracing system for construction sites achieves efficient, reliable, and orderly transmission of massive amounts of heterogeneous safety data from the site to the cloud by constructing a layered, decoupled, bidirectional, and multi-path standardized communication architecture. Building upon this, the system, with its cloud-integrated tracing index mechanism, can accurately trace any hazard event within seconds, greatly improving investigation efficiency. Simultaneously, the system supports the real-time and flexible distribution of analysis instructions and control commands along preset paths to designated terminals or execution devices, realizing an intelligent closed loop from perception and analysis to response. Its modular communication design also endows the system with strong scalability and adaptability, allowing for flexible deployment in construction scenarios of different scales, fundamentally improving the inherent safety level of construction sites. Attached Figure Description

[0017] Figure 1 This is a system flowchart of the present invention.

[0018] In the diagram: 1. Sensing terminal; 2. Edge aggregation gateway; 3. Regional wireless access point; 4. Construction site LAN core switch; 5. Security data preprocessing server; 6. Wide area network interface device; 7. Cloud big data analysis platform; 8. Traceability index database; 9. Security management terminal; 10. Mobile inspection terminal; 11. Audible and visual alarm device; 12. Positioning beacon; 13. Personnel identification card; 14. Equipment status identification module. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, 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.

[0020] Please see Figure 1 The present invention provides a technical solution: A real-time construction site safety hazard investigation and tracing system based on big data, the system includes: Multiple sensing terminals 1 are configured to capture raw safety status data of the construction site; At least one edge aggregation gateway 2 is communicatively connected to multiple sensing terminals 1; Multiple regional wireless access points 3 are communicatively connected to at least one edge aggregation gateway 2 and multiple mobile inspection terminals 10; The construction site LAN core switch 4 communicates with multiple regional wireless access points 3. The security data preprocessing server 5 is connected to the core switch 4 of the construction site's local area network. Wide area network interface device 6 is communicatively connected to secure data preprocessing server 5; The cloud-based big data analysis platform 7 communicates with the wide area network interface device 6 via a wide area network; The traceability index database 8 is connected to the cloud-based big data analysis platform 7. Multiple safety management terminals 9 communicate with the safety data preprocessing server 5 and the cloud big data analysis platform 7 via the construction site LAN core switch 4 or the wide area network. Data streams from sensing terminal 1 and mobile inspection terminal 10 converge to the safety data preprocessing server 5 via edge aggregation gateway 2, regional wireless access point 3, and construction site LAN core switch 4, and are then uploaded to the cloud big data analysis platform 7 via wide area network interface device 6. The analysis results and tracing instructions generated by the cloud big data analysis platform 7 are sent to the safety management terminal 9 and mobile inspection terminal 10 via a reverse path or directly through the wide area network. The first communication link between sensing terminal 1 and edge aggregation gateway 2 adopts a first wireless communication protocol. The communication frames of the first wireless communication protocol encapsulate the sensing terminal identifier, timestamp, and original sensor data payload. Edge aggregation gateway 2 periodically broadcasts a first synchronization beacon to its subordinate sensing terminals 1. The terminal 1 adjusts its data transmission time slot according to the first synchronization beacon, and also includes multiple positioning beacons 12 distributed in the construction area, personnel identification cards 13 worn by personnel, and equipment status identification modules 14 attached to the equipment. The personnel identification cards 13 and equipment status identification modules 14 interact with the positioning beacons 12 and the regional wireless access point 3 through signaling. Their interaction data is captured by the regional wireless access point 3 and integrated into the second aggregated data stream. The signal sent by the personnel identification card 13 contains an encrypted personnel identification code, and the signal sent by the equipment status identification module 14 contains a unique equipment code and a basic status identification bit. The personnel and equipment data associated with the index records in the traceability index database 8 are derived from the parsing of relevant signaling in the second aggregated data stream.

[0021] Various sensing terminals 1 continuously capture raw status data from the construction site. This data is encapsulated according to a first wireless communication protocol, with the frame structure containing its unique terminal identifier, precise timestamp, and raw data payload. All sensing terminals 1 are associated with an edge aggregation gateway 2, which periodically broadcasts synchronization beacons to coordinate the terminals' transmission time slots and achieve orderly access. Simultaneously, personnel identification cards 13 worn by personnel, equipment status identification modules 14 attached to devices, and inspection records reported by mobile inspection terminals 10 all interact with and transmit data with nearby regional wireless access points 3 via a third wireless communication protocol, reporting identity, location, status, and manual observation information.

[0022] The edge aggregation gateway 2 aggregates data from multiple sensing terminals 1 and encapsulates it into a first aggregated data packet. The first aggregated data packet contains a gateway identifier, a data packet sequence number, and multiple encapsulated data units from different sensing terminals 1. The edge aggregation gateway 2 establishes a second communication link with the regional wireless access point 3 through a second wireless communication protocol for transmitting the first aggregated data packet.

[0023] The mobile inspection terminal 10 and the regional wireless access point 3 establish a third communication link through a third wireless communication protocol; the inspection data packets sent by the mobile inspection terminal 10 include the terminal identifier, real-time location coordinates, manual inspection record data and multimedia attachment hash value; the regional wireless access point 3 mixes and forwards the inspection data packets received from the mobile inspection terminal 10 with the first aggregated data packets received from the edge aggregation gateway 2 to form a second aggregated data stream, which is then sent to the construction site LAN core switch 4.

[0024] Edge aggregation gateway 2 aggregates data units from all its subordinate sensing terminals 1, packages them into a first aggregated data packet containing the gateway's own identifier and serial number, and sends it to the regional wireless access point 3 via a second wireless communication protocol. Regional wireless access point 3, as a key aggregation node, mixes the aggregated data packet from the gateway with data streams directly from mobile terminals, identity cards, and status modules to form a unified second aggregated data stream, which is then uploaded to the construction site LAN core switch 4 via a wired connection. Subsequently, the data stream is directed to the security data preprocessing server 5. This server performs critical local processing tasks, including data format standardization, deduplication of duplicate reports, and appending a global site identifier and a high-precision server timestamp to each frame of valid data, generating a unified standardized data frame.

[0025] The security data preprocessing server 5 communicates with the construction site LAN core switch 4 via wired Ethernet protocol; the security data preprocessing server 5 extracts data from the second aggregated data stream, performs format standardization and local deduplication processing, and generates standardized data frames; after the standardized data frames are appended with the construction site identification code and the preprocessing server timestamp, they are transmitted to the cloud big data analysis platform 7 through the wide area network interface device 6 via an encrypted tunnel.

[0026] After receiving standardized data frames, the cloud-based big data analysis platform 7 disassembles and writes them into a distributed data warehouse. At the same time, it generates associated indexes based on the spatiotemporal attributes and entity identifiers in the data and stores them in the traceability index database 8. Each index record in the traceability index database 8 is associated with at least one hidden danger event identifier, one set of data source identifiers, one time range stamp, and one spatial coordinate range.

[0027] The pre-processed standardized data frames are stably uploaded to the cloud-based big data analytics platform 7 via an encrypted tunnel established by the wide area network interface device 6. Upon receiving the data, the platform performs two core operations: first, it stores the data content in a distributed data warehouse for in-depth analysis; second, based on the inherent spatiotemporal attributes and entity identifiers in the data, it dynamically generates and updates related indexes in the traceability index database 8. Each index acts like a navigation map, closely linking a potential event or state to all relevant data sources, rather than storing the raw data itself. This lays the foundation for efficient traceability.

[0028] When the cloud-based big data analysis platform 7 generates a hazard alarm command, the hazard alarm command includes a hazard event identifier, an alarm level code, a suggested handling measure code, and an associated traceability index pointer. The hazard alarm command is sent to the designated safety management terminal 9 via the first downlink path through the wide area network, the wide area network interface device 6, and the construction site local area network core switch 4. It is also pushed directly to the relevant mobile inspection terminal 10 via the second downlink path through the wide area network. It also includes multiple audible and visual alarm devices 11, which are communicatively connected to the edge aggregation gateway 2 or the regional wireless access point 3. The cloud-based big data analysis platform 7 or the safety data preprocessing server 5 can generate a direct control command containing the target alarm device identifier and the alarm mode code. This command is routed through the construction site local area network core switch 4, the regional wireless access point 3, or the edge aggregation gateway 2, and finally sent to the designated audible and visual alarm device 11.

[0029] The cloud-based big data analytics platform 7, based on the analysis of massive amounts of data, can generate hazard alarm commands that include specific hazard event identifiers, levels, and recommended measures. The distribution of these commands exhibits a multi-path characteristic: for security management terminals 9 in fixed office locations, commands are typically issued via a path consisting of a wide area network (WAN), interface devices 6, and switches 4; for mobile inspection terminals 10 operating on-site, the platform can directly push commands via the WAN. For situations requiring immediate on-site alerts, the platform or local server can generate direct control commands. These commands are routed via switches 4, regional wireless access points 3, or edge aggregation gateways 2, ultimately precisely controlling the designated audible and visual alarm device 11 to activate a specific alarm mode.

[0030] After receiving a hazard alarm command, the safety management terminal 9 initiates a source tracing query request to the cloud big data analysis platform 7. The source tracing query request carries a hazard event identifier. The cloud big data analysis platform 7 queries the source tracing index database 8 based on the hazard event identifier to obtain the set of associated data source identifiers. It then retrieves the corresponding original standardized data frames and derived analysis results from the distributed data warehouse, encapsulates them into a source tracing data packet, and returns it to the terminal that initiated the request.

[0031] When managers receive an alarm or need to investigate via the safety management terminal 9 or mobile inspection terminal 10, they can immediately initiate a source tracing query request. This request carries a specific hazard event identifier directly to the cloud platform. Upon receiving the request, the platform immediately queries the source tracing index database 8, instantly locating all related original standardized data frames and their derived analysis results using the index. This information is then encapsulated into a source tracing data packet and returned to the terminal that initiated the query along the request path. This allows managers not only to know what the hazard is, but also to clearly trace how the hazard formed, who and what were involved, and the overall status of the entire process.

[0032] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A real-time safety hazard investigation and tracing system for construction sites based on big data, characterized in that: The system includes: Multiple sensing terminals (1) are configured to capture raw safety status data of the construction site; At least one edge aggregation gateway (2) is communicatively connected to multiple sensing terminals (1); Multiple regional wireless access points (3) are communicatively connected to at least one edge aggregation gateway (2) and multiple mobile inspection terminals (10); The construction site local area network core switch (4) is connected to multiple wireless access points (3) in the area. The security data preprocessing server (5) is communicatively connected to the core switch (4) of the construction site local area network; The wide area network interface device (6) is communicatively connected to the secure data preprocessing server (5); The cloud-based big data analysis platform (7) communicates with the wide area network interface device (6) via a wide area network; The traceability index database (8) is connected to the cloud-based big data analysis platform (7); Multiple security management terminals (9) communicate with the security data preprocessing server (5) and the cloud big data analysis platform (7) through the construction site local area network core switch (4) or wide area network; The data streams from the sensing terminal (1) and the mobile inspection terminal (10) are aggregated to the safety data preprocessing server (5) via the edge aggregation gateway (2), the regional wireless access point (3), and the construction site LAN core switch (4), and then uploaded to the cloud big data analysis platform (7) via the wide area network interface device (6). The analysis results and tracing instructions generated by the cloud big data analysis platform (7) are sent to the safety management terminal (9) and the mobile inspection terminal (10) via the reverse path or directly via the wide area network.

2. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 1, characterized in that: The first communication link between the sensing terminal (1) and the edge aggregation gateway (2) adopts a first wireless communication protocol. The communication frame of the first wireless communication protocol encapsulates the sensing terminal identifier, timestamp, and original sensing data payload. The edge aggregation gateway (2) periodically broadcasts a first synchronization beacon to the sensing terminals (1) under its jurisdiction, and the sensing terminals (1) adjust their data transmission time slots according to the first synchronization beacon.

3. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 2, characterized in that: The edge aggregation gateway (2) aggregates data from multiple sensing terminals (1) and encapsulates it into a first aggregated data packet. The first aggregated data packet contains a gateway identifier, a data packet sequence number, and multiple encapsulated data units from different sensing terminals (1). The edge aggregation gateway (2) and the regional wireless access point (3) establish a second communication link through a second wireless communication protocol for transmitting the first aggregated data packet.

4. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 3, characterized in that: The mobile inspection terminal (10) and the regional wireless access point (3) establish a third communication link through a third wireless communication protocol; the inspection data packet sent by the mobile inspection terminal (10) includes a terminal identifier, real-time location coordinates, manual inspection record data and multimedia attachment hash value; the regional wireless access point (3) mixes and forwards the inspection data packet received from the mobile inspection terminal (10) with the first aggregated data packet received from the edge aggregation gateway (2) to form a second aggregated data stream, which is then sent to the construction site LAN core switch (4).

5. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 4, characterized in that: The security data preprocessing server (5) communicates with the construction site LAN core switch (4) via wired Ethernet protocol; the security data preprocessing server (5) extracts data from the second aggregated data stream, performs format standardization and local deduplication processing, and generates standardized data frames; the standardized data frames are appended with the construction site identification code and the preprocessing server timestamp, and then transmitted to the cloud big data analysis platform (7) through the encrypted tunnel via the wide area network interface device (6).

6. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 5, characterized in that: After receiving the standardized data frame, the cloud-based big data analysis platform (7) disassembles it and writes it into the distributed data warehouse. At the same time, it generates an associated index based on the spatiotemporal attributes and entity identifiers in the data and stores it in the traceability index database (8). Each index record in the traceability index database (8) is associated with at least one hidden danger event identifier, one data source identifier set, one time range stamp, and one spatial coordinate range.

7. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 6, characterized in that: When the cloud-based big data analysis platform (7) generates a hidden danger alarm instruction, the hidden danger alarm instruction includes a hidden danger event identifier, an alarm level code, a suggested handling measure code, and an associated traceability index pointer; The hazard alarm command is sent to the designated safety management terminal (9) via the first downlink path through the wide area network, the wide area network interface device (6), and the construction site local area network core switch (4), and is pushed directly to the relevant mobile inspection terminal (10) via the second downlink path through the wide area network.

8. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 7, characterized in that: After receiving the hidden danger alarm instruction, the safety management terminal (9) initiates a source tracing query request to the cloud big data analysis platform (7), and the source tracing query request carries the hidden danger event identifier; the cloud big data analysis platform (7) queries the source tracing index database (8) based on the hidden danger event identifier, obtains the associated data source identifier set, and thereby retrieves the corresponding original standardized data frame and derived analysis results from the distributed data warehouse, encapsulates them into a source tracing data packet and returns it to the terminal that initiated the request.

9. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 8, characterized in that: It also includes multiple audible and visual alarm devices (11), which are communicatively connected to the edge aggregation gateway (2) or the regional wireless access point (3); the cloud big data analysis platform (7) or the security data preprocessing server (5) can generate direct control instructions containing the target alarm device identifier and alarm mode code, which are routed through the construction site LAN core switch (4), the regional wireless access point (3) or the edge aggregation gateway (2) and finally sent to the designated audible and visual alarm device (11).

10. The real-time investigation and tracing system for construction site safety hazards based on big data as described in claim 9, characterized in that: It also includes multiple positioning beacons (12) distributed in the construction area, personnel identification cards (13) worn by personnel, and equipment status identification modules (14) attached to the equipment. The personnel identification cards (13) and equipment status identification modules (14) interact with the positioning beacons (12) and the regional wireless access point (3) through signaling. Their interaction data is captured by the regional wireless access point (3) and integrated into the second aggregated data stream. The signal sent by the personnel identification card (13) contains an encrypted personnel identification code, and the signal sent by the equipment status identification module (14) contains a unique equipment code and a basic status identification bit. The personnel and equipment data associated with the index records in the traceability index database (8) are derived from the parsing of the relevant signaling in the second aggregated data stream.

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