Dynamic tracking and non-sensitive management system for safety tools and instruments

Abstract

The invention provides a dynamic tracking and non-sensitive management system for safety tools and instruments, and relates to the technical field of tool and instrument management. The system comprises the steps that a cloud platform generates a logic verification rule based on a job task and test data; the digital identity identification module establishes a mapping relation between a real object and data; the intelligent interaction storage module evaluates the health state according to the test cycle data and controls the physical access authority; the non-sensitive channel identification module feeds back inventory changes through multi-modal verification; and the global dynamic tracing terminal monitors the spatial-temporal trajectory and the hitching state data outside the library in real time, and determines an operation safety early warning strategy according to the spatial-temporal trajectory and the hitching state data. According to the invention, through full-process closed-loop management and control, non-sensitive warehouse-in and warehouse-out verification of tools and instruments and real-time dynamic supervision of an operation site are realized, the problems of disjunction of test data and material object management and supervision blind areas outside the warehouse are effectively solved, and the safety and management efficiency of electric power operation are significantly improved.

Description

Technical Field

[0001] This invention relates to the field of tool and equipment management technology, and in particular to a dynamic tracking and non-intrusive management system for safe tools and equipment. Background Technology

[0002] Currently, the management of safety tools and equipment in the power industry mainly relies on manual ledgers or basic barcode and QR code technology. Some advanced units have introduced handheld RFID scanning devices for inbound and outbound registration. The management model typically involves periodic inventory checks, manual issuance registration, and paper-based or independently managed test reports. Warehouse construction mainly uses ordinary shelving, environmental control relies on manual adjustments, and the usability of tools and equipment after leaving the warehouse remains undefined.

[0003] With the advancement of the ubiquitous power Internet of Things and digital transformation, the management of safety tools and equipment is developing towards intelligence and automation. The industry is beginning to explore the application of fixed RFID access gates for batch identification and the introduction of smart tool cabinets for one-key operation. Meanwhile, mobile internet-based application management is gradually becoming more widespread, aiming to achieve online flow of tool and equipment information, reduce paper-based operations, and improve efficiency.

[0004] While existing technologies have improved management efficiency to some extent, significant shortcomings remain. Firstly, the flow process suffers from interruptions and lag in perception. Traditional RFID access control systems often experience missed reads or inaccurate direction determination, and cannot perform real-time logical verification with work orders, leading to discrepancies between records and physical inventory. Secondly, there is a lack of oversight at off-site work areas, particularly for critical safety equipment such as grounding wires. Once these items leave the warehouse, the management system loses real-time control over their physical location and connection status; for example, it cannot determine if the three-phase connection sequence is correct, greatly increasing the risk of loss or misuse. Finally, there is a disconnect between test data and physical usage. Test data from testing centers often lags behind warehouse management, and the lack of mandatory physical locking mechanisms creates safety hazards such as the misuse of expired or substandard equipment. Summary of the Invention

[0005] In order to overcome the shortcomings of the existing technology, the purpose of this invention is to provide a dynamic tracking and non-intrusive management system for safety tools and equipment. This invention solves the problems of information chain breakage and perception lag in the circulation process, lack of real-time dynamic supervision of off-site operations, and disconnect between test data and physical usage status in the existing technology.

[0006] To achieve the above objectives, the present invention provides the following solution: A dynamic tracking and non-intrusive management system for safety tools and equipment includes: The central control cloud platform and the digital identity identification module, intelligent interactive warehousing module, non-intrusive channel identification module and full-domain dynamic tracking terminal are all connected to the central control cloud platform. The central control cloud platform is used to perform correlation analysis on task requests and test data to obtain a task-status correlation data table, and to obtain logical verification rules based on the task-status correlation data table. The digital identity module is used to read the features of safety tools using radio frequency identification technology to obtain a unique identification code, and to establish a mapping relationship between physical objects and data based on the logical verification rules and the unique identification code. The intelligent interactive warehousing module is used to retrieve the associated test cycle data in the central control cloud platform according to the mapping relationship, so as to obtain the health status assessment result, and determine the physical access permissions of safety tools and equipment according to the health status assessment result. The non-intrusive channel identification module is used to perform multimodal verification of the safe tools for circulation based on the physical access permissions, obtain compliant circulation instructions, and transmit the compliant circulation instructions to the central control cloud platform to update the inventory status. The full-domain dynamic tracking terminal is used to activate the sensing device according to the compliance flow instruction, obtain the spatiotemporal trajectory and attachment status data outside the warehouse, and determine the operation safety early warning strategy based on the spatiotemporal trajectory and attachment status data outside the warehouse.

[0007] The present invention discloses the following technical effects: This invention provides a dynamic tracking and seamless management system for safety tools. By driving the collaboration of various modules through cloud-based rules, this invention effectively solves the technical problems of broken information flow, lack of off-site supervision, and disconnect between test data and physical status in existing technologies. First, multimodal seamless identification technology enables automatic verification of inbound and outbound operations and real-time inventory updates, eliminating discrepancies between records and actual inventory caused by manual omissions. Second, a full-domain dynamic tracking terminal monitors off-site trajectories and attachment status in real time, filling blind spots in on-site supervision and effectively preventing tool loss and unauthorized operations. Finally, based on test cycle data, the intelligent warehouse is directly driven to perform physical locking, forcibly blocking the flow of unqualified or expired tools. This system constructs a complete lifecycle safety closed loop from in-warehouse storage to off-site operation, significantly improving the management efficiency and operational safety of power safety tools. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 This is a schematic diagram of a dynamic tracking and non-intrusive management system for safety tools provided in an embodiment of the present invention; Figure 2 This is a rendering of a warehouse construction provided in an embodiment of the present invention; Figure 3 Schematic diagrams of various types of shelves provided for embodiments of the present invention; Figure 4 This is a schematic diagram of a vertical RFID access gate provided in an embodiment of the present invention; Figure 5 An RFID-sensing door for rooftops provided in an embodiment of the present invention.

[0010] Figure label: 1-Central control cloud platform, 2-Digital identity identification module, 3-Intelligent interactive warehousing module, 4-Non-intrusive channel identification module, 5-Full-domain dynamic tracking terminal. Detailed Implementation

[0011] 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.

[0012] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0013] like Figure 1 As shown, the present invention provides a dynamic tracking and contactless management system for safety tools and equipment, comprising: The central control cloud platform 1 and the digital identity identification module 2, intelligent interactive warehousing module 3, non-intrusive channel identification module 4, and full-domain dynamic tracking terminal 5, all of which are connected to the central control cloud platform 1; The central control cloud platform 1 is used to perform correlation analysis on job task requests and test and detection data to obtain a task-status correlation data table, and to obtain logical verification rules based on the task-status correlation data table. The digital identity module 2 is used to read the features of safety tools and equipment using radio frequency identification technology to obtain a unique identification code, and to establish a mapping relationship between physical objects and data based on the logical verification rules and the unique identification code. The intelligent interactive storage module 3 is used to retrieve the associated test cycle data in the central control cloud platform 1 according to the mapping relationship, so as to obtain the health status assessment result, and determine the physical access rights of safety tools and equipment according to the health status assessment result. The non-intrusive channel identification module 4 is used to perform multimodal verification of the safe transfer tools according to the physical access permissions, obtain compliant transfer instructions, and transmit the compliant transfer instructions to the central control cloud platform 1 to update the inventory status. The full-domain dynamic tracking terminal 5 is used to activate the sensing device according to the compliance flow instruction, obtain the spatiotemporal trajectory and attachment status data outside the warehouse, and determine the operation safety early warning strategy based on the spatiotemporal trajectory and attachment status data outside the warehouse.

[0014] like Figure 2 As shown, in order to provide a standardized physical operating platform for the above-mentioned dynamic tracking and non-intrusive management system for safety tools and ensure the stability of radio frequency signal transmission and the accuracy of non-intrusive channel identification, this embodiment first carried out adaptive technical transformation and spatial logic reconstruction for the existing warehouse environment.

[0015] Specifically, this embodiment divides the physical warehouse into an intelligent storage area, a buffer zone for inspection, and a disposal isolation area based on the insulation characteristics and storage specifications of safety tools and equipment. At the area division interfaces, physical isolation is achieved using metal shielding materials or microwave-absorbing coatings to create an electromagnetic environment free from interference, preventing cross-area cross-reading or misreading by high-sensitivity radio frequency reading devices. Simultaneously, this embodiment deploys an environmental sensing network at key nodes in the warehouse to monitor temperature, humidity, and air quality in real time, and integrates these environmental parameters into the system as auxiliary correction factors for "health status assessment."

[0016] Furthermore, this embodiment upgraded the security of the warehouse entrances and exits by providing standardized mounting bases and network communication interfaces for the deployment of the "non-intrusive channel identification module." The physical depth on both sides of the channel was also adjusted to ensure that the radio frequency antenna array and visual capture device have an unobstructed optimal field of view (FOV). Through these basic improvements and functional adaptations, this embodiment constructs a standardized storage environment that meets emergency response specifications and is compatible with the operation of IoT devices, laying a solid hardware foundation for subsequent digital management and dynamic tracking.

[0017] like Figure 3As shown, to adapt to the physical form and storage specifications of different types of safety tools and equipment, and to ensure effective coverage of radio frequency signals in dense storage environments, this embodiment configures a customized intelligent shelving system in the modified warehouse. This system is divided into four independent physical storage units according to the type of tool or equipment, each embedding a radio frequency antenna array and status indicator lights. The specific structure is as follows: For personal protective equipment, this embodiment adopts a matrix-style grid shelving design for storing insulating gloves, insulating boots, and safety helmets. Each grid is equipped with a near-field communication antenna to achieve accurate "one item, one code" identification of densely stacked small personal protective equipment, preventing signal crosstalk.

[0018] For insulated operating tools, this embodiment employs a dedicated vertically suspended or multi-point supported cabinet for storing slender devices such as insulated operating rods and voltage detectors. This design, through vertical suspension or full-length support, effectively prevents the insulated rod from bending due to gravity caused by long-term horizontal placement, while ensuring that the insulating coating on the rod surface is not mechanically worn, and facilitating the reading of RFID tags along the rod's axial direction.

[0019] For insulating and shielding tools, this embodiment uses roll-type or flat-lay drawer shelves for storing flexible or sheet-like materials such as insulating blankets and insulating baffles. This area is equipped with moisture-proof padding and a large-area flat panel antenna, enabling thorough inventory checks of stacked materials while ensuring that the shielding equipment does not fold or stick together.

[0020] For long poles and ladders, this embodiment deploys heavy-duty vertical storage racks in the high-rise area of ​​the warehouse to store insulated rigid ladders, centipede ladders, and extra-long operating rods. This area is specially equipped with mechanical limit devices and gravity-sensing bases, which ensure the stability of upright storage of large equipment, while, together with side-mounted long-distance radio frequency reading units, enable real-time monitoring of the entry and exit status of large-sized equipment.

[0021] Furthermore, the specific implementation process of the central control cloud platform 1 is as follows: This embodiment first uses a task requirement parsing submodule to perform deep analysis of the received work task requests. Utilizing text extraction technology or standard protocol field mapping, it accurately extracts the specifications, voltage levels, and required quantities of the safety tools to be requisitioned from unstructured or semi-structured work orders, thereby generating a task requirement index set containing clearly defined requirements. Subsequently, this embodiment uses an inventory status matching submodule to perform a multi-condition traversal query in a pre-stored test and inspection database using this task requirement index set as the search key. The search strategy prioritizes locking records of similar tools in the inventory and reads the latest test report date and inspection conclusion associated with each tool. By calculating the difference between the current date and the last test date and comparing it with a preset test cycle threshold, all candidate devices that meet the model requirements and are in stock are selected, forming a candidate tool status set.

[0022] This embodiment further utilizes a multi-dimensional association construction submodule to perform data fusion operations, logically binding abstract task requirements with specific physical inventory. Specifically, this process employs a Cartesian product or a preset allocation algorithm to assign each requirement in the task requirement index set to a specific entity record in the candidate tool status set, constructing a task-status association data table. Each record in this table contains a unique identifier, a task owner ID, the remaining days of the current test validity period, and a qualified status bit. This achieves a digital mapping from work tasks to specific physical tools, clearly defining the real-time health profile of each tool to be released from inventory, and providing refined data support for subsequent access control.

[0023] This embodiment ultimately uses a strategy rule generation submodule to scan and logically interpret the aforementioned task and status association data table row by row, generating differentiated control protocols based on safe operating procedures. For abnormal records in the data table marked as expired, unqualified, or with insufficient remaining validity, this embodiment generates a blocking control protocol containing physical locking commands and alarm parameters, strictly prohibiting the use of such tools and equipment. For normal records in the data table that are within their validity period and in a qualified state, this embodiment generates a release authorization protocol containing electronic lock release commands and identity verification access. All generated blocking control protocols and release authorization protocols are encapsulated and aggregated into a unified format of logical verification rules, which are then distributed to subsequent identity identification and warehouse execution units to ensure that physical world operations strictly adhere to the security policies calculated in the cloud.

[0024] Furthermore, the specific implementation process of the digital identity module 2 is as follows: This embodiment first initiates the physical layer identification process through the radio frequency feature extraction submodule, sending an activation command to the RFID reader deployed at the work site or access point, driving the RF front-end to emit an electromagnetic interrogation wave of a specific frequency towards the target area. When a safety tool with a passive RFID tag enters the electromagnetic field area, the tag gains energy through induced current and is activated. Subsequently, it loads the electronically encoded information stored inside the chip onto the reflected wave using backscatter modulation. This embodiment captures the feedback carrier signal in real time through the reader antenna, filters, amplifies, and detects it using analog front-end circuitry, and further uses Manchester decoding or Miller decoding algorithms to digitally analyze the baseband signal, thereby accurately extracting the binary bitstream data representing the unique identity of the tool from the complex electromagnetic background noise, i.e., the unique identification code.

[0025] This embodiment then utilizes the rule verification adaptation submodule to perform logical-level legality verification. The extracted unique identification code is used as a parameter to be verified and substituted into pre-acquired logical verification rules for multi-dimensional comparison. This process includes verifying whether the identification code's encoding format conforms to enterprise standards, whether the verification code belongs to the authorized list of the current work area, and whether there are any abnormal states marked as abandoned or lost. Through this filtering mechanism, this embodiment can effectively eliminate noise interference signals in the environment, misread non-target tags, or unauthorized external tags, ensuring that only valid IDs conforming to business rules pass verification. Based on the verified identification code, a compliance file index pointing to a specific storage location in the cloud database is generated, establishing a reliable index foundation for subsequent data retrieval.

[0026] This embodiment concludes by constructing a virtual-physical mapping submodule to complete the binding of physical objects and data at the application layer. Based on the generated compliance file index, it quickly locates and retrieves the complete electronic file corresponding to the tool or equipment by performing a lookup in the cloud database or local cache. This embodiment logically anchors the retrieved electronic file attribute data, including the tool's name, specifications, serial number, most recent test date, and current health status, to the physical entity of the safety tool scanned on-site. This provides the physical entity with a real-time, dynamic, and visualized digital image in the management system. In this way, this embodiment successfully establishes a robust physical-data mapping relationship, ensuring that subsequent permission checks and workflow tracking are based on an accurate and real-time "account-physical consistency" status.

[0027] Specifically, this embodiment first controls the radio frequency front-end circuit of the RFID reader / writer through the interrogation signal transmitting unit, using a local oscillator to generate a continuous wave signal in the ultra-high frequency or high frequency band, and then amplifies the signal to a preset transmission power level through a power amplifier. This embodiment then drives the transmitting antenna to convert the amplified signal into an electromagnetic interrogation wave of a specific frequency, radiating it directionally or omnidirectionally into the physical space where the safety equipment is located. This electromagnetic interrogation wave constructs an electromagnetic field during its propagation in space. When a passive RFID tag fixed to the surface of the safety equipment enters this field, the antenna coil inside the tag obtains electrical energy through electromagnetic induction or electromagnetic radiation coupling, thereby activating the microchip circuit inside the tag and providing the energy basis for subsequent data communication.

[0028] This embodiment then utilizes an echo carrier acquisition unit to listen for and receive the weak signal fed back by the passive RFID tag in response to the electromagnetic interrogation wave via a receiving antenna in real time. Since the tag uses impedance matching modulation to change its antenna reflection coefficient, the feedback signal appears as a modulated backscattered signal superimposed on the original carrier. This embodiment isolates this weak received signal from the transmitted signal using a circulator or directional coupler and sends it to the receiving channel, where it passes through a bandpass filter to remove out-of-band noise interference and a low-noise amplifier to increase signal gain. Subsequently, this embodiment uses orthogonal demodulation or envelope detection circuitry to down-convert the amplified signal, removing high-frequency carrier components, thereby accurately separating the analog baseband carrier signal containing tag information from the complex RF background.

[0029] Finally, this embodiment performs a digital reconstruction operation on the separated analog baseband carrier signal through the channel decoding processing unit. This embodiment first activates a high-speed analog-to-digital converter to sample and quantize the continuous analog baseband waveform, generating a discrete digital signal sequence. Subsequently, according to the encoding rules agreed upon in the radio frequency protocol, this embodiment applies the Manchester decoding algorithm or the FMO decoding algorithm to perform logical operations on the digital sequence. Logic 0 and logic 1 are determined by detecting the direction of signal level transitions or level flipping characteristics within the bit period, thereby extracting the original binary bitstream data. Based on this, this embodiment performs cyclic redundancy check on the extracted bitstream to ensure data integrity, and directly maps valid data segments that pass the check to a hexadecimal identification code representing the unique identity of the safety equipment.

[0030] Furthermore, the specific implementation process of the intelligent interactive warehousing module 3 is as follows: This embodiment first performs precise data indexing operations through the periodic data retrieval submodule, parsing the physical-data mapping relationship established in the previous steps to obtain the unique identification code of the safety tool. This embodiment uses this identification code as the primary key, and through a pre-set database query interface (such as SQL query statements or API calls), it locates the unique corresponding test record row in the test record table of the central control cloud platform 1. Subsequently, this embodiment extracts key fields from this record row, specifically including the exact date of the tool's most recent completion of a preventive test (the last test date) and the preset valid qualification period (such as 6 months or 12 months, i.e., the preset valid duration) according to the "Preventive Test Regulations for Electrical Safety Tools". These two key time data are combined and encapsulated into a test cycle parameter set, providing basic data support for subsequent timeliness judgment.

[0031] This embodiment then performs rigorous time logic calculations through the timeliness status calculation submodule. First, it obtains the system's current time reference by calling the Network Time Protocol (NTP) or reading a local high-precision clock chip, ensuring the objectivity and accuracy of the time source. Subsequently, it performs a time-domain comparison operation, calculating the expiration date by adding the preset validity period to the "last test date" and comparing it with the "system's current time reference." If the current time is later than the expiration date, or if the current time is within the preset test buffer period (e.g., 7 days before expiration) and a new round of testing has not been completed, this embodiment logically determines that the tool does not meet safety requirements and immediately generates an expired and disabled flag with a logic value of "0" or a specific error code. Conversely, if the current time is earlier than the expiration date, it generates a compliant and usable flag with a logic value of "1" or a specific pass code. This flag is uniformly defined as the health status assessment result, serving as the basis for physical action decisions.

[0032] This embodiment finally completes the transition from digital decision-making to physical execution through the access control driver submodule. This embodiment monitors and responds to the aforementioned health status assessment results in real time. When a flag indicating unqualified (expired and disabled) is received, the driver circuit maintains or forces a low-level signal, triggering the electromagnetic lock connected to the smart tool cabinet door or latch to close (generating an electromagnetic locking signal), physically revoking the user's access rights to the tool and preventing accidental use. When a flag indicating qualified (compliant and usable) is received, the driver circuit outputs a high-level pulse signal, stimulating the electromagnetic lock coil to generate magnetic force to engage or release the mechanical latch (generating an electromagnetic release signal), automatically opening the cabinet door or unlocking the latch, thereby granting the user physical access rights to the tool and achieving mandatory security control of "open when qualified, lock when expired".

[0033] Furthermore, the specific implementation process of the non-intrusive channel identification module 4 is as follows: This embodiment first constructs a comprehensive channel perception environment through a multimodal information acquisition submodule. A high-gain RF antenna array and an industrial-grade high-definition visual capture device are deployed in a surround configuration at the warehouse entrance and exit access control points. When safe tools pass through this channel area, this embodiment uses an infrared light curtain or ground loop coil to trigger concurrent acquisition logic. The RF antenna array instantly reads the RF signals emitted by the tool's tag, while the visual capture device simultaneously captures the tool's appearance and color features. This embodiment uses a time synchronization protocol to align and correlate the RF tag data and appearance image data acquired at the same time, eliminating blind spots and misreadings associated with single technologies. The two are aggregated into a real-time perception and recognition set containing both electromagnetic and optical features, providing a multi-dimensional data source for subsequent accurate verification.

[0034] This embodiment then utilizes the permission logic matching submodule to perform strict inbound and outbound compliance checks, automatically retrieving the physical access permission list just generated by the intelligent interactive warehousing module 3 from the system cache as a dynamic verification threshold. This embodiment compares the tool identification information in the aforementioned real-time sensing and identification set with the physical access permission list one by one, verifying whether the tools currently passing through the channel belong to the authorized requisition list, and using image data to assist in verifying whether the tool type matches. If the comparison result shows that the current tools are completely within the authorized range and in normal condition, this embodiment generates a high-level verification pass signal; if unauthorized tools are detected being illegally carried through, or the actual quantity carried does not match the list, this embodiment immediately generates an abnormal interception signal and triggers an on-site audible and visual alarm to provide a warning.

[0035] This embodiment finally completes the digital closed loop of the flow action through the instruction execution submodule and the feedback submodule. In response to the aforementioned verification pass signal, this embodiment generates a compliant flow instruction to drive the channel gate to open or the access control to release, allowing personnel passage. Simultaneously, based on this compliant flow instruction, this embodiment initiates a data encapsulation program, using the phase difference of the radio frequency antenna or a visual optical flow analysis algorithm to determine the flow direction of the tools, and packages the tool's unique identification code, the determined inbound / outbound direction marker, and a millisecond-level high-precision timestamp into a standard inventory change data packet. This embodiment instantly reports this data packet to the central control cloud platform 1 via an encrypted transmission channel, triggering the cloud database to perform an inventory status update operation, achieving automatic accounting and dynamic inventory balancing without manual intervention.

[0036] Specifically, such as Figure 4-5 As shown, in order to enhance the application value of existing RFID tags and adapt to different warehouse space structures and operational flow requirements, the non-intrusive channel identification module in this embodiment provides two differentiated hardware deployment forms to achieve fully automated operation and minimize manual intervention.

[0037] The first type is a vertical RFID access gate, such as... Figure 4 As shown. This design is primarily suitable for high-traffic scenarios involving open spaces, loading cart passage, or bulk entry and exit of heavy equipment. The device is installed on both sides of the warehouse entrance / exit, integrating a high-gain RF antenna array and a metal shielded chassis. It not only possesses excellent electromagnetic interference resistance, preventing misreading of tags outside the passageway, but also achieves a high-concurrency processing capability of reading no less than 300 tags per second, ensuring no missed reads when large items or batches of tools pass through quickly.

[0038] The second type is the roof-mounted RFID sensor door, such as... Figure 5 As shown in the image. This design is primarily suitable for scenarios with limited space, where individuals frequently move single items or small tools. The device is top-mounted and utilizes a narrow-beam directional antenna to maintain an effective sensing distance between 0.3 and 1.0 meters, with a physical location identification accuracy of less than or equal to 0.1 meters. This design achieves precise "point-to-point" identification of items carried by people entering and exiting the premises without occupying ground space.

[0039] Both types of identification devices achieve hardware linkage with the on-site access control system and intelligent interactive warehousing module through the underlying bus. When workers carry tools through, no active card swiping or barcode scanning is required; the device automatically reads the tag and performs a multimodal comparison of "RFID data - image information - inventory record." If the comparison result is compliant, the system automatically sends an opening command to release the access control; if an anomaly is detected (such as unauthorized carrying or unqualified tool status), the system immediately triggers a locking warning logic. The entire response time for data upload, cloud verification, and command feedback is strictly controlled within 5 seconds, thus ensuring the smoothness and security of seamless passage.

[0040] Furthermore, the specific implementation process of the full-domain dynamic tracking terminal 5 is as follows: This embodiment first performs a low-power intelligent wake-up operation through a sensing activation control submodule. This submodule is built into the embedded processing unit of the tool and normally operates in a deep sleep state at the microampere level to save power. When it receives a compliance transfer instruction sent by the non-sensory channel identification module 4 (usually sent through a low-frequency wake-up channel or a long-connection heartbeat packet), the submodule immediately performs protocol parsing on the instruction message and extracts the tool activation code field. In this embodiment, the activation code is verified against the device's unique physical address (MAC address) stored locally. Once a match is found, the hardware wake-up logic is triggered, driving the power management chip (PMU) to connect the power supply circuits of the motherboard and peripherals, generating a stable power-on wake-up signal, enabling the terminal to quickly switch from sleep mode to full-speed working mode, achieving automated management of "power on upon leaving the warehouse".

[0041] This embodiment then utilizes the spatiotemporal and status acquisition submodule to initiate a multi-dimensional on-site perception process. Responding to the aforementioned power-on wake-up signal, it synchronously initializes the BeiDou / GPS dual-mode satellite positioning device and the contact sensing device (such as a three-phase resistance detection probe) installed at the tool's attachment point. This embodiment controls the satellite positioning device to capture navigation messages from multiple satellites in real time, calculates high-precision latitude, longitude, and elevation information, and encapsulates this information with timestamps into continuous geographic coordinate data, forming an external spatiotemporal trajectory. Simultaneously, it controls the contact sensing device to concurrently acquire analog voltage or current signals from the attachment point, calculates the contact resistance value after analog-to-digital conversion, and encapsulates it into attachment resistance data reflecting connection reliability (i.e., attachment status data), thereby achieving dual monitoring of both the tool's "location" and "status."

[0042] This embodiment concludes by performing real-time safety logic calculations at the edge through a risk assessment and decision-making submodule, enabling rapid responses without relying on cloud data transmission. First, it compares the real-time collected spatiotemporal trajectory outside the warehouse with pre-downloaded geo-fencing data of the work area to determine if tools have exceeded the predetermined work area or entered a live area. Simultaneously, it electrically compares the attachment status data with preset three-phase logic thresholds (such as standard grounding resistance values ​​and three-phase attachment sequence logic). If the comparison results indicate out-of-bounds location or abnormal attachment status (such as poor contact or missing phase attachment), this embodiment immediately generates an audible and visual alarm command including a high-decibel buzzer and a bright flashing light, and simultaneously triggers a mechanical interlock command to drive the electromagnetic lock on the operating lever to lock the mechanical structure, forcibly stopping the operation. This audible and visual alarm and mechanical interlock command are executed as the final operational safety warning strategy to ensure absolute safety during on-site operations.

[0043] Furthermore, this embodiment first uses an instruction unpacking and extraction unit to monitor and capture in real time the compliant flow instructions issued by the non-intrusive channel identification module 4. These instructions are typically encapsulated in specific wireless communication protocol data frames. This embodiment utilizes built-in protocol stack parsing logic to perform layer-by-layer unpacking operations on the received communication protocol messages, sequentially stripping the physical layer preamble, data link layer frame header, and frame trailer, and performing cyclic redundancy check on the messages to verify the integrity of data transmission. After confirming the messages are correct, this embodiment deeply parses the application layer data packets, locates the payload area, and accurately extracts the tool activation code used to wake up the specified target device based on a predefined byte offset.

[0044] This embodiment then utilizes a local identity verification unit to perform a rigorous device identity matching process to prevent false wake-up operations caused by broadcast signals or co-channel interference. This embodiment calls the microcontroller's internal non-volatile memory interface to read the device's unique physical address or hardware signature, which is fixed at the factory. This embodiment performs a binary-level bit-by-bit matching verification between the extracted tool activation code and the device's unique physical address. Only when both data sequences are completely identical at every bit is the current instruction determined to be a valid wake-up request, and the relevant general-purpose input / output interfaces are driven high to output a continuous and stable high-level enable signal.

[0045] Finally, in this embodiment, the power timing management unit responds to the aforementioned high-level enable signal to perform a hardware-level power supply strategy switch. This embodiment sends an interrupt request or mode switching command to the onboard power management chip, controlling it to immediately end the current deep sleep mode or standby mode and switch to full-speed operation mode, and activates the internal voltage regulator to establish a stable system voltage. After the core voltage stabilizes, this embodiment, according to the electrical characteristics of the peripherals, sequentially connects the power supply circuits of the satellite positioning unit and the contact sensing unit according to a strict power-on sequence, and outputs a valid power-on wake-up signal to their reset pins to ensure that each sensor module completes initialization and enters the data acquisition ready state.

[0046] Furthermore, this embodiment first performs hardware-level initialization and link establishment operations through a concurrent driver unit. Responding to the power-on wake-up signal input from the preceding steps, it immediately triggers the enable pin of the onboard power management circuit. This embodiment simultaneously outputs a stable operating voltage to both the satellite positioning device and the contact sensing device via a low-dropout linear regulator or DC-DC converter, and synchronously activates a high-precision crystal oscillator circuit to provide a unified sampling clock signal. Based on stable power supply and clock, this embodiment resets and configures the microcontroller's universal asynchronous transceiver and analog-to-digital converter interface, thereby establishing a high-speed and stable hardware communication link between the microcontroller and the peripheral sensors.

[0047] This embodiment then utilizes the positioning data processing unit to read the navigation message stream in standard NMEA-0183 protocol format output by the satellite positioning device in real time through the established serial communication link. This embodiment buffers and verifies the received data stream, accurately identifying GPGGA or GPRMC statements containing positioning information, and parses the ASCII code data segments according to comma delimiters to extract numerical fields representing longitude and latitude, as well as a time synchronization information field representing UTC time. This embodiment performs coordinate system transformation and drift correction processing on the extracted raw latitude and longitude data to obtain high-precision geographic coordinate data, ensuring that the location information can be accurately mapped onto the electronic map.

[0048] This embodiment simultaneously uses a sensor signal processing unit to acquire the analog voltage signal fed back from the contact sensing device via an analog front-end circuit. This signal reflects the change in contact resistance between the tool's attachment point and the grounding terminal. First, this embodiment uses an operational amplifier to condition and filter the weak analog signal. Then, a high-resolution analog-to-digital converter is activated to discretize and sample the conditioned signal, obtaining a digitized voltage sample value. Based on a preset circuit model and Ohm's law algorithm, this embodiment substitutes the voltage sample value into the resistance calculation formula for inverse calculation, and incorporates a temperature compensation coefficient to eliminate environmental influences, ultimately generating accurate attachment resistance data that reflects the contact quality.

[0049] Finally, this embodiment performs multi-source data fusion and standardization operations through a structured encapsulation unit. Using satellite timing information as the time axis reference, it aligns and combines geographic coordinate data collected at the same time in a temporal sequence to construct an external spatiotemporal trajectory object containing four-dimensional information. Simultaneously, based on the physical channel number of the contact sensing device, this embodiment maps the calculated mounting resistance data to the corresponding three-phase identifier bits of phase A, phase B, or phase C, constructing a mounting status data package containing phase information and resistance values. Through this structured encapsulation, this embodiment transforms discrete raw sensor data into a standard data object that can be directly called by business logic, providing a solid data foundation for subsequent safety warning strategy determination.

[0050] Specifically, the calculation expression for the connection resistance data is as follows: ; in, The calculated connection resistance data; The digital sample value is obtained by analog-to-digital conversion of the analog voltage signal fed back by the contact sensing device; This is the system reference voltage; This refers to the sampling bit width resolution. The constant current source dynamic current value of the contact sensing device; The temperature drift coefficient of the conductor; The current ambient temperature value is collected by the temperature sensing unit built into the contact sensor. The system's preset standard calibration temperature value; This is the preset line impedance compensation value.

[0051] Specifically, the "digital sample value obtained after analog-to-digital conversion of the analog voltage signal fed back by the contact sensing device" refers to the raw binary data directly read by the microcontroller's analog-to-digital converter (ADC) at the acquisition moment, representing the position of the contact point voltage on the quantization ladder; the "system reference voltage" refers to the reference voltage source value on which the ADC module operates, providing a scale for digital quantization. For example, in common embedded systems, this value is usually configured as 3.3 volts or 5.0 volts to ensure the linearity of quantization; the "sampling bit width resolution" refers to the quantization accuracy index of the ADC, which determines the smallest voltage change that the system can resolve. For example, when using a 12-bit precision ADC, the value of this parameter is 12, corresponding to a quantization order of 4096; the "constant current source drive current value of the contact sensing device" refers to the magnitude of the stable excitation current injected into the contact circuit by the constant current source module in the hardware circuit, ensuring that the voltage drop across the contact resistance is only proportional to the resistance value and is not affected by power supply fluctuations. Typical values ​​can be set to 10 mA or 100 mA.

[0052] In addition, to compensate for measurement deviations caused by ambient temperature differences, this embodiment introduces a temperature correction factor: "Temperature drift coefficient of the conductor" refers to the physical constant of the resistivity of the metal material of the connecting tool (such as the grounding wire clamp) as the temperature changes. If the clamp material is copper, this coefficient is taken as the temperature coefficient of resistance of copper (e.g., 0.00393 / ℃); "Current ambient temperature value collected by the built-in temperature sensing unit of the contact sensing device" refers to the actual temperature value in degrees Celsius measured by the onboard NTC thermistor or digital temperature sensor at the same moment as the resistance measurement; "System preset standard calibration temperature value" refers to the laboratory standard temperature at which the system is calibrated, usually set to 20 degrees Celsius or 25 degrees Celsius. By calculating the absolute value of the difference between the current temperature and the standard temperature, the amount of resistance drift can be accurately assessed. Finally, the "preset line impedance compensation value" refers to the inherent basic impedance of the measurement circuit itself, which consists of test leads, PCB traces, and relay contacts, in the unconnected state. This value is usually measured and stored in memory during equipment factory calibration (e.g., 0.05 ohms). It is subtracted during the final calculation to achieve a "tare" operation, ensuring that the final output connection resistance data only represents the actual contact quality between the tool and the wire.

[0053] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0054] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A dynamic tracking and non-intrusive management system for safety tools and equipment, characterized in that, include: The central control cloud platform and the digital identity identification module, intelligent interactive warehousing module, non-intrusive channel identification module and full-domain dynamic tracking terminal are all connected to the central control cloud platform. The central control cloud platform is used to perform correlation analysis on task requests and test data to obtain a task-status correlation data table, and to obtain logical verification rules based on the task-status correlation data table. The digital identity module is used to read the features of safety tools using radio frequency identification technology to obtain a unique identification code, and to establish a mapping relationship between physical objects and data based on the logical verification rules and the unique identification code. The intelligent interactive warehousing module is used to retrieve the associated test cycle data in the central control cloud platform according to the mapping relationship, so as to obtain the health status assessment result, and determine the physical access permissions of safety tools and equipment according to the health status assessment result. The non-intrusive channel identification module is used to perform multimodal verification of the safe tools for circulation based on the physical access permissions, obtain compliant circulation instructions, and transmit the compliant circulation instructions to the central control cloud platform to update the inventory status. The full-domain dynamic tracking terminal is used to activate the sensing device according to the compliance flow instruction, obtain the spatiotemporal trajectory and attachment status data outside the warehouse, and determine the operation safety early warning strategy based on the spatiotemporal trajectory and attachment status data outside the warehouse.

2. The dynamic tracking and contactless management system for safety tools and equipment according to claim 1, characterized in that, The central control cloud platform includes: The task requirement parsing submodule is used to parse the job task request to extract the type and quantity characteristics of the safety tools and equipment to be requisitioned, and to obtain the task requirement index set. The inventory status matching submodule is used to traverse the test and inspection data based on the task requirement index set, match the latest test validity period and qualified status of the corresponding type of tools and equipment in the inventory, and obtain a candidate tool and equipment status set. The multidimensional association construction submodule is used to perform multidimensional mapping and fusion of the task requirement index set and the candidate tool status set to construct the task-status association data table containing the unique identifier of the tool, the task ownership relationship and the real-time health status. The strategy rule generation submodule is used to generate a blocking control protocol for records with abnormal real-time health status and a release authorization protocol for records with normal real-time health status based on the task-state association data table, and to aggregate the blocking control protocol and the release authorization protocol into the logical verification rule.

3. The dynamic tracking and contactless management system for safety tools and equipment according to claim 1, characterized in that, The digital identity module includes: The radio frequency feature extraction submodule is used to activate the radio frequency identification reader to perform non-contact scanning of the safety equipment, capture the feedback carrier signal and parse the carrier signal to obtain the unique identification code; The rule verification and adaptation submodule is used to perform legality and ownership verification by substituting the unique identification code into the logical verification rules based on the logical verification rules, so as to obtain a compliant file index filtered by the rules. The virtual-physical mapping construction submodule is used to locate the target electronic file in the cloud database according to the compliance file index, and anchor the attribute data of the target electronic file to the physical entity of the safety tool, thereby constructing the mapping relationship between the physical object and the data.

4. The dynamic tracking and non-intrusive management system for safety tools and equipment according to claim 3, characterized in that, The radio frequency feature extraction submodule includes: The interrogation signal transmitting unit is used to drive the radio frequency front end of the radio frequency identification reader to transmit electromagnetic interrogation waves of a specific frequency to the physical space where the safety tool is located, so as to activate the passive radio frequency tag solidified on the safety tool. The echo carrier acquisition unit is used to receive the modulated backscatter signal fed back by the passive RFID tag in response to the electromagnetic interrogation wave, and to filter and amplify the modulated backscatter signal to separate the analog baseband carrier signal. The channel decoding processing unit is used to perform analog-to-digital conversion and Manchester decoding operations on the analog baseband carrier signal, extract binary bitstream data, and map the binary bitstream data into the unique identification code.

5. The dynamic tracking and contactless management system for safety tools and equipment according to claim 1, characterized in that, The intelligent interactive warehousing module includes: The periodic data retrieval submodule is used to parse the mapping relationship between the physical object and the data to lock the unique test record in the cloud database, and extract the last test date and preset valid duration from the unique test record to obtain the test period parameter set; The timeliness status calculation submodule is used to obtain the current system time reference, perform a time domain comparison operation between the current system time reference and the test cycle parameter set, generate an expired and disabled flag if the current time exceeds the validity period, generate a compliant and usable flag if the current time is within the validity period, and use the expired and disabled flag or the compliant and usable flag as the health status assessment result. The access control driver submodule is used to respond to the health status assessment result, generate an electromagnetic interlock signal to revoke the physical access permission when the expired disabled flag is received, and generate an electromagnetic release signal to grant the physical access permission when the compliant available flag is received.

6. The dynamic tracking and contactless management system for safety tools and equipment according to claim 1, characterized in that, The non-intrusive channel identification module includes: The multimodal information acquisition submodule is used to concurrently acquire RFID tag data and appearance image data of safety tools and equipment through an RFID antenna array and visual capture device deployed at the channel, and aggregate the RFID tag data and appearance image data into a real-time perception and recognition set; The permission logic matching submodule is used to use the physical access permission as a verification threshold, compare the real-time perception identification set with the physical access permission, and generate a verification pass signal if the comparison is consistent, and generate an abnormal interception signal if the comparison is inconsistent. The instruction execution submodule is used to generate the compliance flow instruction in response to the verification pass signal, and to encapsulate an inventory change data packet containing the safety tool ID, flow direction and timestamp based on the compliance flow instruction; The feedback submodule is used to report the inventory change data packet to the central control cloud platform to trigger an inventory status update.

7. The dynamic tracking and contactless management system for safety tools and equipment according to claim 1, characterized in that, The global dynamic tracking terminal includes: The sensing activation control submodule is used to receive the compliance flow instruction and parse the tool activation code in the compliance flow instruction, and trigger the hardware wake-up logic according to the tool activation code to obtain the power-on wake-up signal; The spatiotemporal and status acquisition submodule is used to activate the satellite positioning device and the contact sensing device according to the power-on wake-up signal, and concurrently acquire geographic coordinate data and hanging resistance data, encapsulate the geographic coordinate data into the spatiotemporal trajectory outside the library, and encapsulate the hanging resistance data into the hanging status data. The risk assessment and decision-making submodule is used to spatially compare the spatial trajectory outside the warehouse with the electronic fence of the preset work area, and to electrically compare the attachment status data with the preset three-phase logic threshold. If the comparison result shows that the boundary is exceeded or there is a logic error, an audible and visual alarm and a mechanical interlock command are generated, and the audible and visual alarm and mechanical interlock command are used as the work safety early warning strategy.

8. The dynamic tracking and contactless management system for safety tools and equipment according to claim 7, characterized in that, The perception activation control submodule includes: The instruction unpacking and extraction unit is used to receive the compliance flow instruction and unpack the communication protocol message of the compliance flow instruction to extract the tool activation code in the payload; The local identity verification unit is used to retrieve the pre-stored unique physical address of the device, perform bit-to-bit matching verification between the tool activation code and the unique physical address of the device, and output a high-level enable signal if the match is consistent. The power timing management unit is used to control the onboard power management chip to switch from sleep mode to working mode based on the high-level enable signal, and output the power-on wake-up signal to the satellite positioning unit and the contact sensing unit.

9. The dynamic tracking and contactless management system for safety tools and equipment according to claim 7, characterized in that, The spatiotemporal and state acquisition submodule includes: The concurrent driving unit is used to simultaneously output operating voltage and sampling clock signal to the satellite positioning device and the contact sensing device based on the power-on wake-up signal, so as to establish a hardware communication link. The positioning data processing unit is used to read the navigation message output by the satellite positioning device through the hardware communication link, and parse the longitude, latitude and time information in the navigation message to obtain the geographic coordinate data; The sensing signal processing unit is used to acquire the analog voltage signal fed back by the contact sensing device through the hardware communication link, and to perform analog-to-digital conversion and resistance value calculation on the analog voltage signal to generate the hanging resistance data. The structured encapsulation unit is used to associate and combine the geographic coordinate data with the timing information to construct the spatiotemporal trajectory outside the library, and to map the connection resistor data to the corresponding three-phase identifier to construct the connection status data.

10. A dynamic tracking and contactless management system for safety tools and equipment according to claim 9, characterized in that, The calculation expression for the connection resistance data is as follows: ； in, The calculated connection resistance data; The digital sample value is obtained by analog-to-digital conversion of the analog voltage signal fed back by the contact sensing device; This is the system reference voltage; This refers to the sampling bit width resolution. The constant current source dynamic current value of the contact sensing device; The temperature drift coefficient of the conductor; The current ambient temperature value is collected by the temperature sensing unit built into the contact sensor. The system's preset standard calibration temperature value; This is the preset line impedance compensation value.

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