Safety tool linkage monitoring method and system

Abstract

The invention provides a safety tool linkage monitoring method, which comprises the following steps of: deploying a sensing module at a safety tool end, and acquiring tool state data in real time; the safety tool end transmits the state data to the local gateway through a satellite flash dual-mode communication technology; the gateway executes offline logic judgment in a public network-free environment, wherein the offline logic judgment comprises the following steps of: performing timestamp backtracking verification on an operation sequence of the multiplexer; or / and the linkage state of the safety tool is analyzed in real time, and the linkage state analysis comprises climbing operation monitoring; when the illegal operation is detected, the gateway locally triggers an audible and visual alarm; and the gateway uploads the cached data to the cloud platform in batches through the cellular communication module after the network is recovered. The invention further discloses a corresponding system. According to the invention, off-line monitoring can be realized under the condition of no public network coverage, the alarm time delay is reduced, the linkage of multiple tools can be supported, and the safety of the power operation and maintenance process is improved.

Description

Technical Field

[0001] This invention relates to the field of power system operation and maintenance technology, and in particular to a method and system for monitoring the linkage of safety tools and equipment. Background Technology

[0002] In power systems, the correct use of safety tools and equipment is crucial for ensuring the safety of workers and the stable operation of the power grid. However, in practice, due to various reasons, improper use of safety tools and equipment occurs frequently, such as using expired safety tools and equipment, not wearing insulated gloves when testing for voltage, not conducting hazardous gas detection before entering confined spaces, and not using safety belts correctly when working at heights. These violations greatly increase the risk of personal injury accidents and pose a serious threat to safe production. Therefore, it is urgent to take measures to regulate the use of safety tools and equipment to reduce the possibility of accidents.

[0003] Existing methods for monitoring the correct use of safety tools and equipment are insufficient in terms of real-time monitoring, early warning, and coordinated monitoring. Currently, video surveillance is mainly used to supervise and detect whether safety tools and equipment are used correctly on-site, but it cannot achieve full-coverage real-time monitoring.

[0004] Meanwhile, due to blind spots in cameras and the reliance of video surveillance on 4G / public network data transmission, power operation scenarios (such as remote mountainous areas, underground cable wells, and complex substation buildings) often suffer from incomplete network coverage or weak signals. When the public network is interrupted, violations of on-site equipment usage (such as failure to verify grounding or failure to wear insulated gloves) cannot be promptly uploaded to the management system, causing alarms to fail.

[0005] In some scenarios, although a network is available, the high latency (100-500ms) of public network transmission makes real-time monitoring impossible and fails to meet the real-time requirements of power operations. Furthermore, violations such as live grounding in power operations require millisecond-level response times.

[0006] Furthermore, existing technical solutions also have shortcomings in communication reliability for the coordinated monitoring of multiple tools. Power safety operations require the coordinated use of multiple tools (such as the sequential use of voltage detectors, insulating gloves, and grounding wires; insulating gloves must be worn before voltage testing; voltage testing must be performed before grounding work, etc.). Traditional solutions, due to network instability or latency, cannot guarantee the synchronous acquisition and logical judgment of status data from multiple devices, leading to the failure of coordinated monitoring. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to provide a method and system for monitoring the linkage of safety tools and equipment, which can realize offline monitoring in the absence of public network coverage, reduce alarm latency, support the linkage of multiple tools and equipment, and improve the safety of power operation and maintenance.

[0008] As one aspect of the present invention, a method for monitoring the linkage of safety tools and equipment is provided, which includes the following steps:

[0009] Deploy sensing modules at the safety tools and equipment end to collect tool and equipment status data in real time;

[0010] Safety equipment transmits status data to the local gateway via StarFlash dual-mode communication technology;

[0011] In an environment without a public network, the gateway performs offline logic judgments, including: performing timestamp backtracking verification on the operation sequence of multiple tools; and / or performing real-time analysis on the linkage status of safety tools, wherein the linkage status analysis includes monitoring of high-altitude operations; when a violation is detected, the gateway triggers an audible and visual alarm locally.

[0012] After the network is restored, the gateway uploads cached data to the cloud platform in batches via the cellular communication module.

[0013] Preferably, the offline logic judgment includes:

[0014] Grounding operation safety verification: If the grounding wire status is detected as "grounded" (status code 0x02), the usage records of the voltage tester in the past 10 seconds will be reviewed. If the records are missing, the "grounding without voltage test" alarm will be triggered.

[0015] Safety verification for voltage testing: If a voltage tester signal is detected (status code 0x01), the record of wearing insulating gloves in the past 5 seconds is checked. If the record is missing, a "voltage tester without gloves" alarm is triggered.

[0016] Preferably, the linkage status analysis includes monitoring of high-altitude operations:

[0017] When the height change of the safety helmet is greater than 2 meters, compare the change in the height of the safety belt.

[0018] If the height difference between the two is greater than 1 meter, a "not wearing a seat belt" alarm will be triggered.

[0019] If the height difference is ≤1 meter but the seat belt is not worn, the "unfastened seat belt" alarm will be triggered.

[0020] Preferably, the following low-power optimization measures are adopted:

[0021] The tool adopts a sleep-wake mechanism: the star flash module is in sleep mode in normal mode, and wakes up every 10 seconds to receive commands;

[0022] Dynamic sampling of sensors: When the helmet is stationary, the accelerometer sampling rate drops to 1Hz, and increases to 100Hz when it is in motion.

[0023] Preferably, the working mode of the star-flash dual-mode communication technology is dynamically switched:

[0024] The linkage monitoring scenario adopts SLE mode with a latency of ≤20ms; the data upload scenario adopts SLB mode with a throughput of ≥10Mbps.

[0025] The physical layer adopts OFDM+MIMO technology, operates in the frequency band of 24.05-24.25GHz, and supports QPSK, 16QAM, and 64QAM adaptive modulation.

[0026] Accordingly, another aspect of the present invention also provides a safety tool linkage monitoring system, which includes:

[0027] The tool end sensing module is used to collect tool status data in real time and transmit the status data through Star Flash dual-mode communication. The sensor includes at least one of a contact sensor, an acceleration sensor and a height sensor.

[0028] The local gateway is used to receive status data transmitted from the tools and equipment and perform offline logic judgments, including: performing timestamp backtracking verification on the operation sequence of multiple tools and equipment; and / or performing real-time analysis on the linkage status of safety tools and equipment, wherein the linkage status analysis includes monitoring of high-altitude operations; when a violation is detected, the gateway triggers an audible and visual alarm locally; and uploads cached data to the cloud platform in batches after the network is restored.

[0029] The cloud platform is used to receive uploaded cached data from the local gateway and perform LSTM neural network risk prediction based on the uploaded cached data.

[0030] Preferably, the tool-side sensing module includes: a built-in star-flash communication module, a main control chip, and a sensor, and includes an anti-interference design.

[0031] The voltage detector / grounding wire uses a metal shielded casing;

[0032] The star strobe antenna uses a PCB inverted F antenna integrated inside the tool;

[0033] The data link layer of the StarSpark communication module supports adaptive switching between SLE and SLB dual modes.

[0034] Preferably, the sensor deployment method includes:

[0035] A contact sensor is embedded in the palm of the insulating glove, and a star flash module is integrated into the main unit at the wrist.

[0036] A height sensor and a contact sensor are integrated into the lap belt area of ​​the seat belt;

[0037] The helmet integrates a star strobe antenna and a built-in three-axis accelerometer within the chin rest.

[0038] Preferably, the gateway integrates a dual-mode communication module and a cellular communication module, as well as a logic judgment module, an audible and visual alarm module, and a local cache module.

[0039] The logic judgment module includes:

[0040] The grounding operation safety verification unit is used to check the voltage detector usage records of the past 10 seconds when the grounding wire status is detected as "grounded" (status code 0x02). If the records are missing, it will trigger a "grounding without verification" alarm.

[0041] The voltage testing safety verification unit is used to detect the voltage tester usage signal (status code 0x01), and then verify the record of wearing insulating gloves in the past 5 seconds. If it is missing, it will trigger the "voltage tester not wearing gloves" alarm.

[0042] The high-altitude operation monitoring unit is used to compare the height change of the safety helmet with the height change of the safety belt when a change in the safety helmet height is detected to be greater than 2 meters. If the height difference between the two is greater than 1 meter, an alarm for "not wearing a safety belt" is triggered. If the height difference is less than or equal to 1 meter but the safety belt is not worn, an alarm for "not wearing a safety belt" is triggered.

[0043] Preferably, the cloud platform performs LSTM neural network risk prediction based on the uploaded cached data, including:

[0044] A tool usage behavior model is established using an LSTM neural network, with input features including timestamps, status codes, and sensor data.

[0045] When the prediction accuracy is greater than 80%, an early warning message is pushed to the management system at a pre-scheduled time.

[0046] Implementing the embodiments of the present invention has the following beneficial effects:

[0047] This invention provides a method and system for monitoring the linkage of safety tools and equipment. By deploying sensing modules in various safety tools and equipment, and employing StarFlash technology, it eliminates the need for public networks. Through direct communication between the gateway and the tool / equipment (coverage radius ≥ 100 meters), it can still transmit tool / equipment status data in real time even in scenarios without 4G signals (such as underground utility tunnels and remote substations). The gateway performs logical judgments and alarms locally (such as immediate audible and visual alarms when grounding is performed without verification of power), completely solving the problem of "disconnection without network."

[0048] In this invention, the StarFlash SLE mode, with a latency of ≤20ms, improves alarm response speed by 90% compared to traditional 4G solutions (latency ≥100ms). For example, when an electric detector detects a live charge, StarFlash can transmit the signal to the gateway within 20ms and trigger the verification of the insulated glove wearing status, ensuring that dangerous behavior is blocked in time.

[0049] In this invention, the use of OFDM+MIMO technology provides strong anti-interference capabilities (e.g., stable transmission even in strong electromagnetic environments like substations) and supports synchronous acquisition and timestamp calibration of multiple tool status data. For example, the gateway can accurately trace back voltage detection signals within 10 seconds and glove-wearing signals within 5 seconds, achieving sequential logical verification of "voltage detection-glove-grounding" with an accuracy rate ≥99.5%. This improves the safety of power operation and maintenance work in special scenarios. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, obtaining other drawings based on these drawings without creative effort still falls within the scope of the present invention.

[0051] Figure 1 This is a schematic diagram of the main flow of an embodiment of a safety tool linkage monitoring method provided by the present invention;

[0052] Figure 2 A schematic diagram illustrating the application environment of the method provided by this invention;

[0053] Figure 3 for Figure 2 A schematic diagram of the implementation structure of the safety tools and equipment in the middle;

[0054] Figure 4 for Figure 2 A schematic diagram of the implementation structure of the gateway in China;

[0055] Figure 5 A more detailed flowchart illustrating the intermodal transport monitoring process provided by this invention;

[0056] Figure 6 This is a schematic diagram of a structure of an embodiment of a safety tool linkage monitoring system provided by the present invention;

[0057] Figure 7 for Figure 6 A schematic diagram of the structure of the gateway;

[0058] Figure 8 for Figure 7 A schematic diagram of the logic judgment module in the program. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0060] like Figure 1The diagram shown illustrates the main flow of an embodiment of a safety tool linkage monitoring method provided by the present invention; in conjunction with... Figures 2 to 5 As shown, in this embodiment, the method includes at least the following steps:

[0061] Step S10: Deploy a sensing module at the safety tool end to collect tool status data in real time;

[0062] It is understood that sensing modules (such as the BS21 Star Flash module built into the safety helmet, with a communication distance of 100 meters, an average power consumption of less than 10mA, and a sleep-and-keep power consumption of less than 26uA; and the built-in wearable sensing module IQS211B, with a power consumption of 2-20uA) can be deployed at the various safety equipment terminals of this invention. More specifically, in the embodiments of this invention, the various safety equipment terminals can be deployed as follows:

[0063] Safety Helmet: Features a built-in low-power main control chip (e.g., STM32L4 series), a StarSignal SLE communication module (model: BS21), a three-axis accelerometer (range ±16g), a contact-type wear sensor (e.g., iqs211B), and a height sensor (e.g., LPS22HB). The StarSignal antenna uses a PCB inverted-F antenna, integrated into the chin rest of the helmet, with a communication distance ≥100 meters and power consumption ≤10mA. The battery capacity is 200mAh, providing a battery life ≥72 hours.

[0064] Insulating gloves: Features a built-in low-power main control chip (such as the STM32L4 series) and a contact-type wear sensor (such as the iqs211B) embedded in the palm area, connected to the main unit on the wrist via a flexible cable. The main unit incorporates a StarScan SLB communication module (model: BS21) with a PCB inverted-F antenna, achieving a communication distance of at least 100 meters and power consumption ≤10mA. The battery capacity is 200mAh, providing a battery life of ≥72 hours.

[0065] Seatbelt: Features a built-in low-power main control chip (e.g., STM32L4 series), a StarSignal SLE communication module (model: BS21), a three-axis accelerometer (range ±16g), a contact-type wear sensor (e.g., iqs211B), and a height sensor (e.g., LPS22HB). The StarSignal antenna uses a PCB inverted-F antenna, integrated into the waistband area of ​​the seatbelt, with a communication distance of at least 100 meters and power consumption ≤10mA. Battery capacity is 200mAh, providing at least 72 hours of battery life.

[0066] Work uniform: Features a built-in low-power main control chip (such as the STM32L4 series), a StarScan SLE communication module (model: BS21), a temperature and humidity sensor (such as the GXHTC3 with accuracy ±2%RH and ±0.2°C), a contact-type wearable sensor (such as the iqs211B), and a StarScan antenna using a PCB inverted F antenna integrated into the cuff of the work uniform. The communication distance is no less than 100 meters, and the power consumption is ≤10mA. The battery capacity is 200mAh, providing a battery life of ≥72 hours.

[0067] Electromagnetic detector: Features a built-in low-power main control chip (such as STM32L4 series), integrated electric field sensor (detection range 0-500kV / m), and a StarSignal SLE communication module (model: BS21). It employs an external foldable StarSignal antenna with a metal shielded design, providing electromagnetic interference resistance ≥30V / m, a communication distance of at least 100 meters, and power consumption ≤10mA. Response time is <50ms and false alarm rate is <0.5% when detecting 10kV lines. Battery capacity is 200mAh, providing ≥72 hours of battery life.

[0068] Grounding wire: Built-in low-power main control chip (such as STM32L4 series), tactile switch (0.2mm travel, 2.55N actuation) installed on the periphery of the grounding clamp movable block, grounding rod with built-in StarShan SLB communication module (model: BS21), using PCB inverted F antenna, metal shell shielding design, electromagnetic interference resistance ≥30V / m, communication distance not less than 100 meters, power consumption ≤10mA. Battery capacity 200mAh, battery life ≥72 hours.

[0069] Gas detector: Built-in low-power main control chip (such as STM32L4 series), StarSignal SLE communication module (model: BS21), light sensor, and StarSignal antenna using PCB inverted F antenna, integrated around the detector's light, communication distance not less than 100 meters, power consumption ≤10mA. Battery capacity 200mAh, battery life ≥72 hours.

[0070] Step S11: The safety tool transmits the status data to the local gateway through StarFlash dual-mode communication technology;

[0071] Specifically, each safety tool transmits its status data (such as the wearing signal of a safety helmet, the electric field induction signal of an electroscope, and the wearing signal of insulating gloves) to the gateway in real time via StarFlash.

[0072] Step S12, the gateway performs offline logic judgment in an environment without a public network, including: performing timestamp backtracking verification on the operation sequence of multiple tools; and / or performing real-time analysis on the linkage status of safety tools, wherein the linkage status analysis includes monitoring of high-altitude operations; when a violation is detected, the gateway triggers an audible and visual alarm locally;

[0073] like Figure 4 The diagram illustrates a schematic representation of the gateway implementation structure according to the present invention. In a specific example, the gateway device is deployed using an industrial-grade embedded host (CPU: ARM Cortex-A53, 4 cores 1.5GHz), integrating a StarSignal SLE / SLB dual-mode communication module (model: H363) and a 4G CAT1 communication module (supporting full network compatibility). The StarSignal antenna is a 5dBi omnidirectional antenna, installed at a high point in the work site, with a coverage radius ≥200 meters.

[0074] The alarm module adopts an integrated sound and light design (volume ≥85dB, LED flashing frequency 2Hz), the power module supports AC220V / DC 12V dual input, and has a built-in 10Ah backup battery, providing ≥4 hours of battery life after power failure.

[0075] It consists of a main control module responsible for computation, a star-flash module and a cellular communication module for communication, a power supply component for powering the system, and an alarm module for notification. The star-flash module receives various status data sensed by the safety equipment. The main control module analyzes and performs logical judgments on the received data. When abnormal behavior is detected, a notification is issued through the alarm module to achieve real-time alarm. Simultaneously, the status and alarm data of the equipment are uploaded to the cloud platform for storage via the cellular communication module for later work traceability and big data analysis. This provides alerts for some trending safety hazards so that preventative measures can be taken in advance.

[0076] The gateway performs logical judgments locally (such as reviewing the voltage testing records within 10 seconds during grounding work) and triggers audible and visual alarms through the high-alarm module. 4G CAT1 (such as ML307R) is only used to upload data to the cloud when online; when the network is down, the gateway locally caches 7 days of data, fully meeting the safety requirement of "real-time alarms even without a public network" in power operations. Compared to traditional solutions, this invention increases alarm coverage from 0% to 100% in network-free scenarios, and reduces the latency of StarFlash communication by 90% compared to video surveillance, effectively solving the "last mile" safety monitoring problem in power operations.

[0077] Preferably, the offline logic judgment includes:

[0078] Grounding operation safety verification: If the grounding wire status is detected as "grounded" (status code 0x02), the usage records of the voltage tester in the past 10 seconds will be reviewed. If the records are missing, the "grounding without voltage test" alarm will be triggered.

[0079] Safety verification for voltage testing: If a voltage tester signal is detected (status code 0x01), the record of wearing insulating gloves in the past 5 seconds is checked. If the record is missing, a "voltage tester without gloves" alarm is triggered.

[0080] Preferably, the linkage status analysis includes monitoring of high-altitude operations:

[0081] When the height change of the safety helmet is greater than 2 meters, compare the change in the height of the safety belt.

[0082] If the height difference between the two is greater than 1 meter, a "not wearing a seat belt" alarm will be triggered.

[0083] If the height difference is ≤1 meter but the seat belt is not worn, the "unfastened seat belt" alarm will be triggered.

[0084] The following examples illustrate some common usage states and internal execution sequence logic of various tools and equipment:

[0085] Safety helmets and work clothes are essential tools for any job. Their wearing status can be detected by devices such as contact sensors. If they are not worn during the work process, the gateway will automatically issue an alarm.

[0086] For operations like high-voltage line maintenance, multiple tools and equipment are required to be used in conjunction, and the use of these tools and equipment has inherent safety sequence requirements. For example, when performing grounding work, it is necessary to first test for voltage to avoid the risk of electric shock from working with live equipment. Before testing for voltage, it is essential to ensure that insulated gloves are worn, otherwise there is also a risk of contact. Therefore, when the gateway has detected the working status of the grounding wire (e.g., a grounding signal is present), but the voltage detector has not reported a usage signal before this signal occurs, an alarm will be triggered. When the gateway has detected the usage signal of the voltage detector but has not detected the signal of wearing insulated gloves, an alarm will also be triggered. This process fully utilizes the low latency characteristics of StarFlash communication and the network-linked monitoring method to achieve real-time offline linkage alarm. Figure 4 This is a flowchart of the joint monitoring process.

[0087] Similarly, there's a linked warning system for working at heights without a safety belt. Using height monitoring sensors on both the helmet and the safety belt, when the gateway detects a height change greater than 2 meters for the helmet, it activates a monitoring system to see if the safety belt height also increases by approximately 2 meters in the same direction. If the difference in height changes exceeds 1 meter, an alarm for not wearing a safety belt at height is triggered. If the difference in height changes is less than 1 meter, it then monitors whether the safety belt is being worn. If no wearing signal is detected, the alarm for not wearing a safety belt at height is activated. This linked monitoring of both safety equipment allows for the timely detection of hazardous work behaviors, thus preventing accidents.

[0088] Step S13: After network recovery, the gateway uploads cached data in batches to the cloud platform via the cellular communication module. The cloud platform then performs LSTM neural network risk prediction based on the uploaded cached data, specifically including:

[0089] A tool usage behavior model is established using an LSTM neural network, with input features including timestamps, status codes, and sensor data.

[0090] When the prediction accuracy is greater than 80%, an early warning message is pushed to the management system at a pre-scheduled time.

[0091] Furthermore, in embodiments of the present invention, the star-flash dual-mode communication technology is implemented in the following manner:

[0092] Physical layer: It adopts the unique OFDM+MIMO technology of StarSpark, with an operating frequency band of 24.05-24.25GHz, modulation method of QPSK / 16QAM / 64QAM, and code rate supports adaptive adjustment from 125kbps to 48Mbps.

[0093] Data link layer: Enables dual-mode switching between StarFlash SLE (low latency) and SLB (high bandwidth). In grounding operation scenarios, the default mode is SLE with a latency of ≤20ms; in data upload scenarios, it automatically switches to SLB mode with a throughput of ≥10Mbps.

[0094] Application layer protocol: Defines the format of tool status data frames.

[0095] [Frame Header (2B)][Tool Type (1B)][Status Code (1B)][Data Length (1B)][Sensor Data (nB)][CRC Checksum (2B)]

[0096] The status codes are defined as follows: 0x01 = Normal, 0x02 = Abnormal, 0x03 = Low battery.

[0097] Offline scene data processing mechanism:

[0098] In offline scenarios (no 4G signal), the gateway stores alarm data in local Flash (16GB capacity), and uploads it to the cloud in batches after the network is restored. The data caching time is ≥7 days.

[0099] The linkage monitoring scenario adopts SLE mode with a latency of ≤20ms; the data upload scenario adopts SLB mode with a throughput of ≥10Mbps.

[0100] The following low-power optimization measures are adopted:

[0101] The tool adopts a sleep-wake mechanism: the star-flash module is normally in sleep mode (power consumption ≤ 0.26mA), and wakes up every 10 seconds to receive commands;

[0102] Dynamic sampling of sensors: When the helmet is stationary, the accelerometer sampling rate drops to 1Hz, and increases to 100Hz when it is in motion.

[0103] Gateway power consumption management:

[0104] The Starflash module supports dynamic power adjustment: 10dBm for short range (<50 meters), 15dBm for medium range (50-100 meters), and 20dBm for long range (>100 meters).

[0105] During non-working hours (23:00-6:00), the system enters power-saving mode, reducing the CPU frequency to 800MHz, putting the alarm module into sleep mode, and reducing power consumption by 60%.

[0106] To further understand the content of this invention, the following description is provided by way of example.

[0107] Example 1: Safety Linkage Monitoring for Grounding Operations

[0108] Hardware connection:

[0109] The insulated glove wrist star flash module establishes an SLE connection with the gateway (address: 0x1001), the electroscope star flash module address is 0x1002, and the grounding wire star flash module address is 0x1003.

[0110] The status data of each tool and instrument is reported to the gateway via StarFlash at 50ms intervals.

[0111] Logical judgment process:

[0112] When the gateway receives a grounding wire status of "grounded" (status code 0x02), it immediately queries the electrical detector usage records for the past 10 seconds:

[0113] C code:

[0114]

[0115] When an electroscope usage signal is detected (status code 0x01), query the record of insulated gloves worn in the past 5 seconds:

[0116] C code:

[0117]

[0118] Alarm implementation:

[0119] Grounding without verification: The gateway issues a voice alarm, "XX, please verify the voltage before grounding!", and the red LED flashes until the error is corrected. Simultaneously, the event is transmitted to the platform via 4G, and an SMS message is sent to the operation supervisor.

[0120] Without gloves during power testing: The gateway issues a voice alarm, "XX, please wear gloves before power testing!", and the yellow LED flashes until the error is corrected. Simultaneously, the event is transmitted to the platform via 4G, and an SMS message is sent to the person in charge of the operation.

[0121] Example 2: Safety belt linkage monitoring for high-altitude operations

[0122] Sensor configuration:

[0123] The safety helmet has a built-in height sensor (accuracy ±0.1 meters) with a sampling frequency of 10 Hz; the safety belt is equipped with height and contact sensors with a sampling frequency of 5 Hz.

[0124] Both communicate with the gateway via StarFlash SLB mode, and the data packets contain timestamps, altitude values, and seatbelt wearing data.

[0125] Linked judgment logic:

[0126] When the height change of the safety helmet exceeds 2 meters, the seat belt monitoring will be activated.

[0127] C code:

[0128]

[0129] Alarm Response:

[0130] Not wearing a safety belt: The gateway issues a voice alarm "XX, no safety belt worn during high-altitude work", sends abnormal data to the platform, and pushes an alarm to the work APP.

[0131] Unfastened safety belt: The gateway issues a voice alarm "XX, working at height without a safety belt" (0.5-second interval), and the safety helmet's built-in vibration motor vibrates synchronously to forcefully remind the worker.

[0132] Cloud platform data interaction implementation methods

[0133] Data interface definition:

[0134] The API uses a RESTful interface, and the data format is JSON.

[0135] JSON code:

[0136]

[0137] Alarm data upload frequency: real-time upload (delay ≤ 3 seconds), historical data is summarized and uploaded at 10-minute intervals.

[0138] Big data analytics capabilities:

[0139] Establish a tool usage behavior model, analyze historical data using an LSTM neural network, and predict potential risks:

[0140] Python code:

[0141] #Risk Prediction Model Fragment

[0142] model = Sequential()

[0143] model.add(LSTM(64,input_shape=(timesteps,features)))

[0144] model.add(Dense(32,activation='relu'))

[0145] model.add(Dense(1,activation='sigmoid'))

[0146] model.compile(loss='binary_crossentropy',optimizer='adam')

[0147] When the prediction accuracy is greater than 80%, a risk warning will be sent to the management system 24 hours in advance.

[0148] like Figure 6 The diagram shown illustrates a structural schematic of an embodiment of a safety tool linkage monitoring system provided by the present invention. (In conjunction with...) Figure 7 and Figure 8 As shown, in this embodiment, the safety tool linkage monitoring system includes:

[0149] The tool end sensing module 1 is used to collect tool status data in real time and transmit the status data through Star Flash dual-mode communication. The sensor includes at least one of a contact sensor, an acceleration sensor and a height sensor.

[0150] Local gateway 2 is used to receive status data transmitted from the tool end and perform offline logic judgment, including: performing timestamp backtracking verification on the operation sequence of multiple tools; and / or performing real-time analysis on the linkage status of safety tools, wherein the linkage status analysis includes monitoring of high-altitude operations; when a violation is detected, the gateway triggers an audible and visual alarm locally; and uploads cached data to the cloud platform in batches after the network is restored.

[0151] The cloud platform 3 is used to receive uploaded cached data from the local gateway and perform LSTM neural network risk prediction based on the uploaded cached data.

[0152] More specifically, the tool-end sensing module 1 includes: a built-in star-flash communication module, a main control chip, and sensors, and includes an anti-interference design.

[0153] The voltage detector / grounding wire uses a metal shielded casing;

[0154] The star strobe antenna uses a PCB inverted F antenna integrated inside the tool;

[0155] The data link layer of the StarSpark communication module supports adaptive switching between SLE and SLB dual modes.

[0156] Specifically, the sensor deployment methods include:

[0157] A contact sensor is embedded in the palm of the insulating glove, and a star flash module is integrated into the main unit at the wrist.

[0158] A height sensor and a contact sensor are integrated into the lap belt area of ​​the seat belt;

[0159] The helmet integrates a star strobe antenna and a built-in three-axis accelerometer within the chin rest.

[0160] More specifically, such as Figure 7 As shown, its gateway 2 integrates:

[0161] The StarFlash dual-mode communication module 20 is used to receive real-time status data collected by the sensing module deployed on the safety equipment.

[0162] The logic judgment module 21 is used to perform offline logic judgment, including: performing timestamp backtracking verification on the operation sequence of multiple tools; and / or performing real-time analysis on the linkage status of safety tools, wherein the linkage status analysis includes monitoring of high-altitude operations;

[0163] The audible and visual alarm module 22 is used to trigger an audible and visual alarm locally on the gateway when an unauthorized operation is detected.

[0164] Local cache module 23 is used to store the received status data and offline logic judgment result data;

[0165] Cellular communication module 24 is used to upload cached data to the cloud platform in batches after the network is restored.

[0166] More specifically, such as Figure 8 As shown, in a specific example, the logic judgment module 21 includes:

[0167] The grounding operation safety verification unit 210 is used to retrieve the voltage detector usage records of the past 10 seconds when the grounding wire status is detected as "grounded" (status code 0x02). If the records are missing, it will trigger a "grounding without verification" alarm.

[0168] The voltage testing safety verification unit 211 is used to detect the voltage tester usage signal (status code 0x01), and then verify the record of wearing insulating gloves in the past 5 seconds. If it is missing, it will trigger a "voltage tester not wearing gloves" alarm.

[0169] The high-altitude operation monitoring unit 212 is used to compare the height change of the safety helmet with the height change of the safety belt when a change in the safety helmet height is detected to be greater than 2 meters. If the height difference between the two is greater than 1 meter, an alarm for "not wearing a safety belt" is triggered. If the height difference is less than or equal to 1 meter but the safety belt is not worn, an alarm for "not wearing a safety belt" is triggered.

[0170] More specifically, the cloud platform 3 performs LSTM neural network risk prediction based on the uploaded cached data, including:

[0171] A tool usage behavior model is established using an LSTM neural network, with input features including timestamps, status codes, and sensor data.

[0172] When the prediction accuracy is greater than 80%, an early warning message is pushed to the management system at a pre-scheduled time.

[0173] For more details, please refer to the above. Figures 1 to 5 The description of that will not be repeated here.

[0174] Understandably, in this embodiment of the invention, the sensing module at the safety tool end transmits the detected working status of various tools to the gateway via StarFlash communication. After receiving the status of each tool, the gateway performs offline data analysis and judgment. When abnormal operations such as violations occur, it issues an alarm through the alarm module, achieving offline real-time alarming. Simultaneously, the status and alarm data of each tool are uploaded to the cloud platform via cellular communication for storage, used for later work traceability and big data analysis, providing alerts for some trending safety hazards so that preventative measures can be taken in advance.

[0175] Implementing the embodiments of the present invention has the following beneficial effects:

[0176] This invention provides a method and system for monitoring the linkage of safety tools and equipment. By deploying sensing modules in various safety tools and equipment, and employing StarFlash technology, it eliminates the need for public networks. Through direct communication between the gateway and the tool / equipment (coverage radius ≥ 100 meters), it can still transmit tool / equipment status data in real time even in scenarios without 4G signals (such as underground utility tunnels and remote substations). The gateway performs logical judgments and alarms locally (such as immediate audible and visual alarms when grounding is performed without verification of power), completely solving the problem of "disconnection without network."

[0177] In this invention, the StarFlash SLE mode, with a latency of ≤20ms, improves alarm response speed by 90% compared to traditional 4G solutions (latency ≥100ms). For example, when an electric detector detects a live charge, StarFlash can transmit the signal to the gateway within 20ms and trigger the verification of the insulated glove wearing status, ensuring that dangerous behavior is blocked in time.

[0178] In this invention, the use of OFDM+MIMO technology provides strong anti-interference capabilities (e.g., stable transmission even in strong electromagnetic environments like substations) and supports synchronous acquisition and timestamp calibration of multiple tool status data. For example, the gateway can accurately trace back voltage detection signals within 10 seconds and glove-wearing signals within 5 seconds, achieving sequential logical verification of "voltage detection-glove-grounding" with an accuracy rate ≥99.5%. This improves the safety of power operation and maintenance work in special scenarios.

[0179] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0180] The above description is merely a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. Therefore, any equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for monitoring the linkage of safety tools and equipment, characterized in that, Includes the following steps: Deploy sensing modules at the safety tools and equipment end to collect tool and equipment status data in real time; Safety equipment transmits status data to the local gateway via StarFlash dual-mode communication technology; In an environment without a public network, the gateway performs offline logic judgments, including: performing timestamp backtracking verification on the operation sequence of multiple tools; and / or performing real-time analysis on the linkage status of safety tools, wherein the linkage status analysis includes monitoring of high-altitude operations; when a violation is detected, the gateway triggers an audible and visual alarm locally. After the network is restored, the gateway uploads cached data to the cloud platform in batches via the cellular communication module.

2. The method according to claim 1, characterized in that, The offline logic judgment includes: Grounding operation safety verification: If the grounding wire status is detected as "grounded" (status code 0x02), the usage records of the voltage tester in the past 10 seconds will be reviewed. If the records are missing, the "grounding without voltage test" alarm will be triggered. Safety verification for voltage testing: If a voltage tester signal is detected (status code 0x01), the record of wearing insulating gloves in the past 5 seconds is checked. If the record is missing, a "voltage tester without gloves" alarm is triggered.

3. The method according to claim 2, characterized in that, The linkage status analysis includes monitoring of high-altitude operations: When the height change of the safety helmet is greater than 2 meters, compare the change in the height of the safety belt. If the height difference between the two is greater than 1 meter, a "not wearing a seat belt" alarm will be triggered. If the height difference is ≤1 meter but the seat belt is not worn, the "unfastened seat belt" alarm will be triggered.

4. The method according to claim 3, characterized in that, The following low-power optimization measures are adopted: The tool adopts a sleep-wake mechanism: the star flash module is in sleep mode in normal mode, and wakes up every 10 seconds to receive commands; Dynamic sampling of sensors: When the helmet is stationary, the accelerometer sampling rate drops to 1Hz, and increases to 100Hz when it is in motion.

5. The method according to any one of claims 1 to 4, characterized in that, The working mode of the Star Flash dual-mode communication technology is dynamically switched: The linkage monitoring scenario adopts SLE mode with a latency of ≤20ms; the data upload scenario adopts SLB mode with a throughput of ≥10Mbps. The physical layer adopts OFDM+MIMO technology, operates in the frequency band of 24.05-24.25GHz, and supports QPSK, 16QAM, and 64QAM adaptive modulation.

6. A safety tool linkage monitoring system, characterized in that, include: The tool end sensing module is used to collect tool status data in real time and transmit the status data through Star Flash dual-mode communication. The sensor includes at least one of a contact sensor, an acceleration sensor and a height sensor. The local gateway is used to receive status data transmitted from the tools and equipment and perform offline logic judgments, including: performing timestamp backtracking verification on the operation sequence of multiple tools and equipment; and / or performing real-time analysis on the linkage status of safety tools and equipment, wherein the linkage status analysis includes monitoring of high-altitude operations; when a violation is detected, the gateway triggers an audible and visual alarm locally; and uploads cached data to the cloud platform in batches after the network is restored. The cloud platform is used to receive uploaded cached data from the local gateway and perform LSTM neural network risk prediction based on the uploaded cached data.

7. The system according to claim 6, characterized in that, The tool-end sensing module includes: a built-in star-flash communication module, a main control chip, and sensors, and includes an anti-interference design. The voltage detector / grounding wire uses a metal shielded casing; The star strobe antenna uses a PCB inverted F antenna integrated inside the tool; The data link layer of the StarSpark communication module supports adaptive switching between SLE and SLB dual modes.

8. The system according to claim 6, characterized in that, The sensor deployment methods include: A contact sensor is embedded in the palm of the insulating glove, and a star flash module is integrated into the main unit at the wrist. A height sensor and a contact sensor are integrated into the lap belt area of ​​the seat belt; The helmet integrates a star strobe antenna and a built-in three-axis accelerometer within the chin rest.

9. The system according to claim 6, characterized in that, The gateway integrates a dual-mode communication module and a cellular communication module, as well as a logic judgment module, an audible and visual alarm module, and a local cache module. The logic judgment module includes: The grounding operation safety verification unit is used to check the voltage detector usage records of the past 10 seconds when the grounding wire status is detected as "grounded" (status code 0x02). If the records are missing, it will trigger a "grounding without verification" alarm. The voltage testing safety verification unit is used to detect the voltage tester usage signal (status code 0x01), and then verify the record of wearing insulating gloves in the past 5 seconds. If it is missing, it will trigger the "voltage tester not wearing gloves" alarm. The high-altitude operation monitoring unit is used to compare the height change of the safety helmet with the height change of the safety belt when a change in the safety helmet height is detected to be greater than 2 meters. If the height difference between the two is greater than 1 meter, an alarm for "not wearing a safety belt" is triggered. If the height difference is less than or equal to 1 meter but the safety belt is not worn, an alarm for "not wearing a safety belt" is triggered.

10. The system according to claim 6, characterized in that, The cloud platform performs LSTM neural network risk prediction based on the uploaded cached data, including: A tool usage behavior model is established using an LSTM neural network, with input features including timestamps, status codes, and sensor data. When the prediction accuracy is greater than 80%, an early warning message is pushed to the management system at a pre-scheduled time.

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