Low-power-consumption satellite positioning triggering method, system and power operation safety helmet

Abstract

This invention provides a low-power satellite positioning triggering method, system, and safety helmet for power operations. The method includes: continuously collecting motion, wearing status, and air pressure data through an ultra-low power sensor; performing a first-level trigger judgment based on the motion data and wearing status data: when the motion data indicates that the motion intensity exceeds a first preset threshold and lasts for a first preset duration, and the wearing status data confirms that the safety helmet is being worn, a first-level trigger signal is generated; in response to the first-level trigger signal, the analysis of air pressure data is initiated to calculate the rate of change of altitude per unit time; performing a second-level trigger judgment based on the rate of change of altitude to identify whether the working state is abnormal; only when an abnormality is determined will the satellite positioning and communication module be activated to perform positioning and alarm; this invention, through multi-level sensor fusion judgment, achieves accurate alarm triggering under extreme conditions while greatly reducing system power consumption.

Description

Technical Field

[0001] This invention relates to the fields of power operation safety protection, smart wearable devices and low-power Internet of Things technology, and in particular to a low-power satellite positioning triggering method, system and power operation safety helmet. Background Technology

[0002] When power workers are climbing power poles or performing equipment maintenance in the field, their personal safety and location information are of paramount importance. Currently, although some smart safety helmets integrate positioning functions, they have the following significant drawbacks:

[0003] Power consumption issues: To ensure continuous tracking, GNSS / BeiDou and other satellite positioning modules need to be frequently activated, resulting in significant power consumption. The size and weight limitations of the safety helmet prevent the installation of a large-capacity battery, creating a fundamental conflict between battery life and the need for device miniaturization.

[0004] Ineffective positioning: Workers spend most of their time working on the ground or taking short breaks in safe areas, and continuous positioning uploads result in a huge waste of electricity.

[0005] Delayed triggering: Existing low-power solutions are mostly simple timed triggering or triggering based on a single motion sensor, which cannot accurately identify specific risk states in power operations, such as starting to climb, accidental fall, or remaining stationary in a high-risk position. This can easily lead to false alarms or missed alarms, and cannot achieve immediate alarm in emergency situations.

[0006] Therefore, there is an urgent need for a low-power satellite positioning triggering method, system, and power operation safety helmet that can intelligently sense the operation status and achieve accurate triggering with extremely low power consumption under extreme conditions. Summary of the Invention

[0007] In view of the above-mentioned defects in the prior art, the purpose of this invention is to provide a low-power satellite positioning triggering method, system and power operation safety helmet, which aims to solve the technical problems of high power consumption and inaccurate triggering of traditional smart safety helmet positioning function.

[0008] To achieve the above objectives, in a first aspect, the present invention provides a low-power satellite positioning triggering method, applied to a safety helmet for power work, the steps of which include:

[0009] The sensor continuously collects sensing data, which includes at least motion data, wearing status data, and air pressure data.

[0010] A first-level trigger judgment is made based on the motion data and the wearing status data: when the motion data indicates that the motion intensity exceeds a first preset threshold and lasts for a first preset duration, and the wearing status data confirms that the helmet is being worn, a first-level trigger signal is generated.

[0011] In response to the first-level trigger signal, the analysis of air pressure data is initiated to calculate the rate of change of altitude per unit time;

[0012] A secondary trigger judgment is performed based on the altitude change rate to identify whether the operation status is abnormal.

[0013] If the abnormal state is determined, the satellite positioning module and communication module are activated to perform positioning and alarm information uploading operations.

[0014] As a further improvement to the above solution, the step of performing a secondary trigger judgment based on the altitude change rate to identify whether the operation status is abnormal includes:

[0015] Determine whether the rate of change of altitude exceeds a negative emergency threshold;

[0016] If the threshold is exceeded, it is determined to be an abnormal state indicating a person has fallen.

[0017] As a further improvement to the above solution, the step of performing a secondary trigger judgment based on the altitude change rate to identify whether the operation status is abnormal also includes:

[0018] After detecting that the change in altitude has stopped, acquire the device attitude data and the duration of stillness measured by the accelerometer;

[0019] Determine whether the device posture data indicates that the device is in an abnormal posture and / or whether the duration of stillness exceeds a safety threshold;

[0020] If the device posture data indicates that the device is in an abnormal posture and / or the duration of stillness exceeds the safety threshold, it is determined to be an abnormal state characterizing personnel disability or entrapment.

[0021] As a further improvement to the above solution, the method also includes:

[0022] In the secondary trigger judgment, if the altitude change rate is determined to be within the preset normal change range, it is identified as a normal climbing or descending operation, and the satellite positioning module and the communication module are kept in a dormant state.

[0023] As a further improvement to the above solution, the ultra-low power sensor includes a triaxial accelerometer, a barometer, and a proximity sensor;

[0024] The ultra-low power sensor continuously collects sensing data, including:

[0025] The motion acceleration is continuously monitored by the triaxial accelerometer to generate the motion data;

[0026] The proximity sensor continuously detects whether the garment is being worn in order to generate the wearing status data;

[0027] The barometer is activated after generating a first-level trigger signal to collect air pressure data for calculating the rate of change of altitude.

[0028] As a further improvement to the above solution, the operation of performing location and alarm information upload includes:

[0029] The satellite positioning module is controlled to obtain the current geographical location coordinates;

[0030] The communication module is controlled to send alarm information to the monitoring center. The alarm information includes at least the geographical location coordinates, trigger type, and timestamp.

[0031] After the information upload is completed, the satellite positioning module and the communication module are powered off or enter a deep sleep state.

[0032] Secondly, the present invention also provides a low-power satellite positioning triggering system, installed in a power work safety helmet, for implementing the low-power satellite positioning triggering method provided in the first aspect, the system comprising:

[0033] The ultra-low power sensing layer includes an accelerometer for acquiring motion data, a barometer for acquiring air pressure data, and a proximity sensor for detecting wearing status. The ultra-low power sensing layer is configured to operate continuously.

[0034] The intelligent decision-making layer, connected to the ultra-low power sensing layer, is configured as follows:

[0035] Receive the motion data and the wearing status data, and perform a first-level trigger judgment based on them;

[0036] In response to the generation of a first-level trigger signal, the analysis of air pressure data is initiated to calculate the rate of change of altitude;

[0037] A secondary trigger judgment is performed based on the altitude change rate to identify abnormal states;

[0038] The execution communication layer, connected to the intelligent decision-making layer, includes a satellite positioning module and a communication module;

[0039] The intelligent decision-making layer is also configured to send a wake-up command to the execution communication layer only when an abnormal state is determined, so as to trigger the uploading of positioning and alarm information.

[0040] As a further improvement to the above scheme, the intelligent decision-making layer is specifically configured in the secondary trigger judgment as follows:

[0041] If the rate of change of altitude is determined to exceed a negative emergency threshold, it is identified as an abnormal state of a person falling.

[0042] And / or,

[0043] If, after the change in altitude stops, the accelerometer data indicates that the equipment is in an abnormal posture and the duration of stillness exceeds a safety threshold, it is identified as an abnormal state of personnel disability or entrapment.

[0044] As a further improvement to the above solution, the system also includes a main processor;

[0045] When no primary trigger signal is generated, the main processor, the satellite positioning module, and the communication module are in a power-off or deep sleep state.

[0046] The intelligent decision-making layer is implemented by a low-power coprocessor independent of the main processor, or by the main processor being intermittently woken up in shallow sleep mode to execute the judgment logic.

[0047] Thirdly, the present invention also provides a safety helmet for power work, including a helmet body and a low-power satellite positioning triggering system as described in the second aspect.

[0048] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the low-power satellite positioning triggering method as described in the first aspect.

[0049] Because the present invention adopts the above technical solutions, the beneficial effects of this application are as follows:

[0050] This invention provides a low-power satellite positioning triggering method. Firstly, by employing a multi-level collaborative judgment mechanism that combines a primary trigger judgment based on "movement state and wearing state" with a secondary trigger judgment based on the rate of change of altitude, it can effectively distinguish between normal operational activities (such as walking on the ground and routine work on poles) and abnormal states requiring alarms. This design ensures that during most normal operating times, the high-power satellite positioning and communication modules do not need to be activated and can remain in deep sleep, thereby fundamentally avoiding energy waste caused by ineffective positioning and improving the device's battery life by orders of magnitude.

[0051] Secondly, by employing a fusion strategy of data from three sensors—accelerometer, barometric pressure sensor, and wearer status sensor—this invention can intelligently identify different work scenarios. Specifically, by analyzing height change patterns, it can accurately distinguish between "controlled climbing / descending" and "unstable abnormal falls"; by combining the posture and duration after the height stabilizes, it can effectively differentiate between "normal temporary rest" and "disabled and trapped" states. This multi-dimensional information fusion-based judgment logic greatly reduces false alarms and missed alarms caused by misjudgments from a single sensor, significantly improving the accuracy and overall reliability of the alarm system.

[0052] Furthermore, this invention, by setting an emergency judgment threshold for "abnormal rapid falls," can instantly capture the most dangerous working conditions and achieve rapid response. Simultaneously, its "high-risk stationary" recognition capability can automatically trigger an alarm mechanism when workers become disabled and unable to actively seek help. This setup transforms traditional, passive position tracking that relies on human operation into a proactive safety protection system capable of intelligently sensing risks and actively initiating distress calls, greatly enhancing the protection of workers engaged in high-risk outdoor operations. Attached Figure Description

[0053] 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, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0054] Figure 1 This is a flowchart illustrating a low-power satellite positioning triggering method disclosed in Embodiment 1 of the present invention;

[0055] Figure 2 This is a flowchart illustrating the two-level trigger judgment (height change pattern recognition) disclosed in Embodiment 1 of the present invention;

[0056] Figure 3 This is a schematic diagram of a low-power satellite positioning triggering system disclosed in Embodiment 2 of the present invention.

[0057] The realization of the objective, functional characteristics and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0058] 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 a part of the embodiments of the present invention, and not all of them. 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.

[0059] It should be noted that the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0060] Example 1

[0061] See Figure 1 and 2 This invention provides a low-power satellite positioning triggering method, the steps of which include:

[0062] S1. System Initial State and Data Acquisition:

[0063] After the system is powered on, the main processor (MCU), satellite positioning module (such as GNSS / BeiDou module), and cellular communication module (such as 4G Cat.1 / NB-IoT module) are in deep sleep or power-off state by default to minimize basic power consumption. At this time, only the ultra-low power sensing layer continues to operate. The ultra-low power sensing layer includes:

[0064] Triaxial accelerometers, such as MEMS sensors with power consumption below 10μA, are used to continuously collect motion acceleration data to generate motion data;

[0065] Proximity sensors, such as capacitive or infrared sensors, are used to detect whether a helmet is being worn in order to generate the wearing status data.

[0066] High-precision barometers, such as the BMP388, are initially in a standby state, ready to be activated under specific conditions; specifically, they are activated after a first-level trigger signal is generated to collect barometric pressure data for calculating the rate of change of altitude.

[0067] This implementation provides a fundamental guarantee for the system to achieve ultra-low power consumption by placing the high-power module in a deep sleep state and maintaining only the microampere-level operating current of the sensing layer.

[0068] S2, Implementation details of Level 1 trigger judgment:

[0069] The system continuously monitors data from the accelerometer and proximity sensor, and executes a first-level trigger judgment. In specific implementation:

[0070] The first preset threshold is set to 0.5g, where g is the acceleration due to gravity. The first preset duration is 2 seconds. When the intensity of the movement is continuously detected to exceed 0.5g and continues to reach the set duration of 2 seconds, it is preliminarily determined that there is effective activity.

[0071] At the same time, the proximity sensor needs to confirm that the capacitance value or infrared reflection value has reached the threshold for determining whether the device is being worn.

[0072] A level 1 trigger signal is generated only when both conditions are met simultaneously.

[0073] This dual verification mechanism effectively filters out invalid triggers caused by non-personally worn conditions such as helmets being accidentally knocked off or being moved, thus avoiding unnecessary energy consumption and improving system reliability.

[0074] S3, Specific implementation of secondary trigger judgment:

[0075] In response to the primary trigger signal, the system's intelligent decision-making layer is activated, which can be achieved by a separate low-power coprocessor or a shallow sleep mode of the main MCU. It initiates barometer data acquisition and calculates the rate of change of altitude per unit time, performing a secondary trigger judgment.

[0076] Normal operation identification: When the rate of change of height is within the normal climbing speed range of ±0.5 m / s, it is determined to be normal operation behavior. The system does not wake up the high power consumption module and directly returns to the initial monitoring state.

[0077] Abnormal fall detection: Set the negative emergency threshold to -3 m / s. When the rate of change of height exceeds this threshold, it is immediately determined to be an "abnormal fall" state.

[0078] High-risk stationary identification: After the change in altitude stops, if the accelerometer data shows that the equipment attitude angle exceeds the safe range for 30 seconds, such as pitch or roll angle greater than 45 degrees, and the stationary time exceeds 3 minutes, it is determined that "personnel are disabled or trapped".

[0079] By fusing and analyzing data from multiple sensors, this invention can accurately distinguish different operating states, thus avoiding unnecessary power consumption during normal operation and ensuring timely identification of real risk states.

[0080] S4. Alarm Execution and System Reset:

[0081] The system will only perform the following operations when an abnormal state is determined:

[0082] The satellite positioning module is activated, and positioning is completed within 5 seconds to obtain latitude and longitude coordinates;

[0083] The communication module is activated to send alarm information, including location information, trigger type, timestamp, and sensor data snapshots, to the monitoring platform.

[0084] After the information is sent, the power supply to the high-power module is immediately cut off, and the system returns to deep sleep state within 100 milliseconds.

[0085] This "use and turn off" strategy keeps the operating time of high-power modules to a minimum while ensuring effective alarms in real dangerous situations, achieving the best balance between power consumption and safety protection.

[0086] This invention employs a multi-level collaborative judgment mechanism, combining a primary trigger judgment based on "movement state and wearing state" with a secondary trigger judgment based on the rate of change of altitude. This mechanism effectively distinguishes between normal operational activities (such as walking on the ground and routine work on poles) and abnormal states requiring alarms. This design ensures that during most normal operating times, the high-power satellite positioning and communication modules do not need to be activated and can remain in deep sleep, thereby fundamentally avoiding energy waste caused by ineffective positioning and resulting in an order-of-magnitude improvement in the device's battery life.

[0087] Secondly, by employing a fusion strategy of data from three sensors—accelerometer, barometric pressure sensor, and wearer status sensor—this invention can intelligently identify different work scenarios. Specifically, by analyzing height change patterns, it can accurately distinguish between "controlled climbing / descending" and "unstable abnormal falls"; by combining the posture and duration after the height stabilizes, it can effectively differentiate between "normal temporary rest" and "disabled and trapped" states. This multi-dimensional information fusion-based judgment logic greatly reduces false alarms and missed alarms caused by misjudgments from a single sensor, significantly improving the accuracy and overall reliability of the alarm system.

[0088] Furthermore, this invention, by setting an emergency judgment threshold for "abnormal rapid falls," can instantly capture the most dangerous working conditions and achieve rapid response. Simultaneously, its "high-risk stationary" recognition capability can automatically trigger an alarm mechanism when workers become disabled and unable to actively seek help. This setup transforms traditional, passive position tracking that relies on human operation into a proactive safety protection system capable of intelligently sensing risks and actively initiating distress calls, greatly enhancing the protection of workers engaged in high-risk outdoor operations.

[0089] As a preferred embodiment, in order to accurately capture the most dangerous rapid fall situations in power operations, while minimizing false alarms, a two-level trigger judgment based on the rate of change of altitude is used to identify abnormal personnel fall conditions as follows:

[0090] Calculation and monitoring of altitude change rate: Once the system completes the first-level trigger judgment (i.e., confirming the existence of effective movement and that the safety helmet is being worn), the intelligent decision-making layer is activated. The barometer is immediately started to collect data, obtaining air pressure values ​​at a fixed sampling frequency, and the real-time altitude change rate is calculated using the following formula:

[0091] Altitude change rate = (Current altitude - Previous sampling point altitude) / Sampling time interval;

[0092] The altitude is calculated from the air pressure value using the international standard atmospheric pressure formula. The system maintains a sliding window of length N (e.g., N=5) to smooth the rate of change of altitude, thereby eliminating noise interference caused by air pressure fluctuations.

[0093] The logic for determining abnormal falls: This invention sets a negative emergency threshold, for example, -3 meters per second, which is much higher than the normal climbing or descending speed of a person. The determination logic is as follows:

[0094] Continuously monitor the rate of change of height after smoothing;

[0095] When the rate of change of height is lower than the negative emergency threshold for multiple consecutive sampling points (e.g., 3 points, corresponding to 300 milliseconds), it is determined to be an abnormal state characterizing a person's fall.

[0096] This configuration ensures that an alarm is triggered only when the height drops rapidly within a very short period, exceeding the normal operating rate. This effectively avoids false alarms caused by normal rapid descent or brief equipment shaking, significantly improving the reliability of alarm information. Simultaneously, this judgment logic has a low response latency, identifying the fall trend within hundreds of milliseconds, buying valuable time for emergency rescue and demonstrating the system's proactive safety protection value. Furthermore, the strict triggering conditions ensure that the system only activates the high-power positioning and communication modules in the event of a real fall, avoiding unnecessary energy consumption and further solidifying the overall low-power advantage of this solution.

[0097] This invention achieves an optimal balance between safety protection effectiveness and system power consumption by accurately defining the physical characteristics of "abnormal drops," effectively solving the problems of "delayed triggering" and "false alarms and missed alarms" in the background technology.

[0098] As a preferred embodiment, to address the passive alarm problem when personnel lose their ability to actively seek help and further improve the system's safety protection effectiveness, the following method is used to monitor personnel incapacity or entrapment based on their posture and duration of stillness after a change in altitude:

[0099] Altitude Change Stoppage Detection and Monitoring Initiation: When the system detects through a secondary trigger that the rate of altitude change approaches zero (for example, if the absolute value of altitude change is less than 0.5 meters within 10 consecutive seconds), it determines that personnel have reached the work position or intermediate platform, and altitude change has entered a static phase. At this time, the "High-Risk Static" monitoring mode is automatically activated. This mode includes two parallel judgment dimensions: equipment attitude monitoring and static duration timing.

[0100] Specifically, the acquisition and determination of device attitude data:

[0101] The real-time attitude of the device is calculated using data from the continuously operating three-axis accelerometer. In practice, the pitch and roll angles of the device relative to the direction of gravity are calculated using the components of the acceleration vector on the three coordinate axes.

[0102] The normal posture range is set as follows: pitch angle (forward and backward tilt) absolute value less than 30 degrees, roll angle (left and right tilt) absolute value less than 30 degrees. This range corresponds to the situation where the person is standing or sitting while wearing a safety helmet.

[0103] Abnormal posture is defined as follows: the absolute value of the pitch or roll angle exceeds the above-mentioned normal range for 30 consecutive seconds. For example, if the accelerometer data continuously shows that the equipment is in a state of significant tilt or inversion, it suggests that the person may have fallen and become incapacitated.

[0104] Accumulation and judgment of static duration:

[0105] A static duration timer is started simultaneously, and a safety threshold is set, such as 3 minutes. This threshold is set based on the periodic reporting interval for personnel working on power poles as specified in the electrical work safety regulations. If the cumulative static duration exceeds this safety threshold, it indicates that the personnel may be unable to proactively report their safety status due to reasons such as unconsciousness or being trapped.

[0106] In this invention, the judgment logic is an "OR" relationship, meaning that if either "abnormal posture" or "prolonged stillness" is met, it is judged as an abnormal state indicating that the person is disabled or trapped. This setting allows for automatic alarm triggering within minutes of a person losing consciousness, buying precious time for rescue and achieving a leap from "passive tracking" to "active protection," effectively solving the "delayed triggering" problem in the prior art. By judging through both posture and duration, even if a person is in a specific still posture but not completely fallen, or if the duration of unconsciousness has not reached an extreme level, the system can still reliably trigger the alarm through the other factor, greatly enhancing the system's reliability in complex scenarios. The invention's strict "stopping height change" premise and reasonable duration threshold ensure that this monitoring mode is only activated and judged in truly risky still scenarios, avoiding false triggering during normal short rest periods and maintaining the system's overall low power consumption advantage.

[0107] As a preferred embodiment, to address the key technical problem of energy waste caused by ineffective positioning, the method for identifying normal climbing or descending operation behaviors and maintaining low power consumption is as follows:

[0108] Definition and Judgment of Normal Operational Behavior: After the system completes the first-level trigger judgment and initiates barometric pressure data analysis, the intelligent decision-making layer compares the calculated real-time altitude change rate with a preset normal change range. This range is set based on safety regulations for power operations and ergonomic data; for example, the lower limit is set at -0.8 m / s to simulate a controlled, safe descent speed, and the upper limit is set at +0.8 m / s to simulate a normal climbing speed. If the altitude change rate remains within this range—for example, if data from five consecutive sampling periods falls within this range—the system determines that the current operation is a "normal climbing or descent."

[0109] Low-power maintenance execution logic: Once determined to be normal operating behavior, the system will execute critical low-power control logic: keeping the satellite positioning module and long-distance communication module in a power-off or deep sleep state. At this time, the system is maintained by only the ultra-low-power sensing layer and the shallowly operating intelligent decision-making layer, and the overall power consumption is maintained at the microampere level. Subsequently, the system control logic returns to the initial state, and the ultra-low-power sensors continue to monitor, waiting for the next trigger judgment.

[0110] By accurately identifying and filtering out normal activities that account for the majority of the operation time, this invention achieves extreme power consumption optimization. This mechanism ensures that the high-power positioning and communication modules are only activated when a real emergency occurs, thus completely eliminating the energy consumption of "ineffective positioning" during normal operation. This is the fundamental reason why this invention can increase the device's battery life by dozens of times, effectively solving the fundamental contradiction between device miniaturization and long battery life.

[0111] On the other hand, it can ensure the seamless and smooth operation of the business. The system is completely unnoticed when personnel are working normally, avoiding the interference of frequent location reporting on the operation, reducing network data traffic, and improving the user experience.

[0112] It can also enhance system reliability, avoid unnecessary frequent module startups, help extend hardware lifespan, and improve overall system reliability.

[0113] This invention precisely cuts off the source of ineffective energy consumption by introducing an intelligent recognition and low-power response mechanism for "normal behavior," thus directly achieving the core objective of low power consumption.

[0114] As a preferred embodiment, to ensure that the system effectively completes its safety protection mission in an emergency and immediately returns to an ultra-low power state, the location and alarm information uploading operations are performed as follows:

[0115] Execution of precise positioning operation: When the system confirms an abnormal state (such as a fall or disability) through a two-level trigger judgment, the intelligent decision layer sends a wake-up command to the execution communication layer. First, the system powers on and initializes the satellite positioning module (such as a GNSS / BeiDou module), putting it into working condition. This module receives satellite signals and acquires the current geographical coordinates, including latitude and longitude, altitude, and positioning accuracy factor (HDOP), within a set maximum time. To improve the initial positioning speed, AGPS technology can be used to assist in rapid satellite acquisition.

[0116] Alarm Information Composition and Transmission: Upon successful acquisition of location information, the system immediately activates the communication module. The communication module establishes a network connection with the monitoring center and sends a structured alarm information packet to the designated server. The alarm information packet contains at least the following key fields:

[0117] Geographic coordinates: Precise latitude and longitude information provides a destination for rescue operations.

[0118] Trigger type: Clearly identify the alarm source as "abnormal fall" or "high-risk stationary state" so that the monitoring center can take targeted emergency procedures.

[0119] Timestamp: Records the exact UTC time when the abnormal event occurred.

[0120] To enhance the effectiveness of the information, auxiliary information such as device ID and sensor data snapshots (such as attitude angles before the fall) can also be added.

[0121] Rapid power-down and low-power return: After information upload is complete, the system does not enter a waiting state but immediately executes a strict power management sequence: first, the power supply to the communication module is cut off, then the power supply to the satellite positioning module is cut off, and finally the intelligent decision-making layer also returns to sleep mode. The entire power-down process is completed within a very short time after the alarm is successfully sent. This ensures that the operating time of high-power modules is minimized.

[0122] This invention employs a precise power control strategy that switches off immediately upon use, strictly limiting the operating time of the two most power-consuming modules—satellite positioning and communication—to the minimum window for performing necessary tasks. Power is completely cut off immediately after the task is completed, maximizing energy conservation. This feature directly guarantees the system's ultra-long operating range, fundamentally solving the "power consumption problem." Simultaneously, this process ensures that in the event of a real emergency, alarms containing precise location information can be sent out quickly and reliably, providing crucial decision-making support for subsequent emergency rescue and realizing the system's core safety value.

[0123] This invention perfectly balances the seemingly contradictory requirements of "reliable alarms under extreme conditions" and "extremely low power consumption" through refined task execution and power management timing, which is an important manifestation of the practical value of this invention.

[0124] Example 2

[0125] See Figure 3 The present invention also provides a low-power satellite positioning triggering system, integrated into a power operation safety helmet, for implementing a low-power satellite positioning triggering method as described in Embodiment 1. The system includes an ultra-low power sensing layer, an intelligent decision-making layer, and an execution communication layer.

[0126] The ultra-low power sensing layer is the foundation for the system to achieve continuous sensing and power optimization. In specific implementations, this layer includes:

[0127] Microelectromechanical systems triaxial accelerometer: A low-power model with an operating current of less than 10 microamps is selected, and sampling is performed at a fixed frequency to continuously collect three-dimensional motion acceleration data.

[0128] Digital barometer: Selected high-precision, low-power model, initially in standby mode, power consumption maintained at the microampere level, high-speed sampling mode is only activated under specific instructions.

[0129] Proximity sensor: Employs a capacitive sensing solution, with sensing electrodes placed inside the helmet liner to continuously monitor changes in capacitance value to determine whether the helmet is being worn.

[0130] The key to the ultra-low power sensing layer is that all its components can operate continuously under microamplitude current, ensuring that the overall standby power consumption is maintained at an extremely low level during normal operation, providing a hardware foundation for ultra-long battery life.

[0131] The intelligent decision-making layer is the "brain" of the system, responsible for executing core judgment logic. In terms of hardware, it can be implemented by a dedicated low-power coprocessor independent of the main MCU, or it can be implemented by the ultra-low-power operating mode configured in the main MCU.

[0132] The intelligent decision-making layer is configured to execute the following fixed logic:

[0133] Level 1 Trigger Detection: The system continuously receives and analyzes data from the accelerometer and proximity sensor. A Level 1 trigger signal is only generated when the motion intensity exceeds a threshold and persists for a certain period, and the wearer is confirmed to be in a wearing state. This design avoids false triggers caused by non-human activity from the very first stage, directly reducing unnecessary subsequent energy consumption.

[0134] Secondary trigger judgment: In response to the primary trigger, this layer instructs the barometer to start, calculate the rate of change of altitude, and determine the abnormal state based on preset thresholds (e.g., -3 m / s for identifying falls) and patterns (e.g., identifying high-risk stationary conditions). This multi-sensor information fusion judgment strategy is the key to the system's high accuracy and low false alarm rate.

[0135] The communication layer is executed, including the satellite positioning module and the cellular communication module. These two modules are the main sources of power consumption within the system, therefore their operating modes are strictly controlled by the intelligent decision-making layer. Specifically:

[0136] Default state: When the system is not triggered, the entire communication layer is in a power-off state or a deep sleep state, and the current consumption can be reduced to the milliampere level or even the microampere level.

[0137] Controlled wake-up: The intelligent decision-making layer only sends a wake-up command to the layer through a control signal when it determines that an abnormal state is being reached.

[0138] Task execution: After being woken up, the satellite positioning module performs rapid positioning, and the communication module packages and uploads alarm information containing location, trigger type, and timestamp.

[0139] Rapid power-down: After successful information upload, the intelligent decision-making layer immediately controls the power-down of that layer, returning it to deep sleep mode. This "on-demand startup, task-complete shutdown" power management mechanism is the core of the system's ultimate power consumption control.

[0140] The ultra-low power sensing layer ensures the feasibility of continuous monitoring; the two-level judgment mechanism of the intelligent decision-making layer guarantees the accuracy of triggering, fundamentally avoiding invalid triggering; and the controlled mode of the execution communication layer ensures that energy is used only at critical moments. The combination of these three elements enables the system to perfectly support the innovation of the method layer at the hardware level, jointly solving the inherent technical problems of "high power consumption" and "inaccurate triggering" in the background technology.

[0141] In a preferred embodiment, the intelligent decision-making layer is configured to continuously monitor the real-time rate of change of altitude calculated from air pressure data. The system presets a negative emergency threshold, which (e.g., -3 m / s) is set based on the acceleration of free fall and the potential influence of air resistance, and is much higher than the speed at which a person actively descends rapidly.

[0142] Judgment logic: When the intelligent decision layer detects that the rate of change of altitude continuously exceeds (i.e. is lower than) the negative emergency threshold, for example, if it remains effective for a period of 300 milliseconds, it will immediately identify it as an "abnormal state of personnel fall".

[0143] This configuration enables the system to respond instantly to the most dangerous "rapid fall" situations. Its stringent threshold conditions ensure extremely high recognition accuracy, effectively avoiding false alarms caused by non-hazardous situations such as normal equipment falls or people jumping, thereby improving alarm reliability and buying valuable time for emergency rescue.

[0144] The intelligent decision-making layer is also configured to initiate two monitoring operations in parallel once it detects that the change in altitude has stopped (i.e., the system has entered a stationary state):

[0145] Equipment attitude judgment: The system calculates the helmet's attitude angles, such as pitch and roll angles, in real time based on accelerometer data. The system defines "abnormal attitude" as an attitude angle that continuously exceeds the safe range (e.g., the absolute value of the pitch or roll angle is greater than 45 degrees and lasts for more than 30 seconds), which indicates that the wearer may have fallen or lost normal attitude control.

[0146] Stasis duration judgment: The system synchronously starts a timer. If the stagnant duration exceeds the preset safety threshold, such as 3 minutes, it indicates that the person may have lost consciousness or the ability to move.

[0147] Judgment logic: The above two conditions are related by "AND". That is, the system will only identify the device as "personnel in an abnormal state of incapacitation or entrapment" when it determines that the device is simultaneously in an "abnormal posture" and "the duration of stillness exceeds the safety threshold".

[0148] This two-factor correlation judgment mechanism greatly reduces the risk of false alarms in scenarios such as normal personnel rest or brief work stoppages. At the same time, it can effectively detect dangerous situations where personnel are unable to actively seek help after becoming disabled, achieving passive safety protection. This solves the pain point that traditional solutions cannot effectively handle such risks and significantly enhances the system's overall protection capabilities.

[0149] The aforementioned specific and quantifiable judgment logic configuration enables the intelligent decision-making layer to accurately distinguish between extreme dangers (falls) and potential risks (disability and entrapment), thereby ensuring that the system only triggers high-power alarm procedures when a real danger occurs. This precision is key to fundamentally eliminating energy waste and achieving the "low power consumption" goal, while also ensuring the accuracy and effectiveness of the system's response, comprehensively solving the technical challenges that this application aims to overcome.

[0150] In a preferred embodiment, the system further includes a main processor. During most of the operating time, when no primary trigger signal is generated (i.e., the system determines there is no abnormal risk), the main processor, satellite positioning module, and communication module are all set to a power-off state or a deep sleep state. In this state, the main processor core clock stops, the register contents are retained, and only extremely low leakage current is maintained; the high-power satellite positioning and communication modules are completely powered off. This configuration ensures that the system's basic power consumption during normal operating hours is reduced to the microamp level, providing fundamental hardware support for significantly improving the device's battery life.

[0151] The logical functions of the intelligent decision-making layer are implemented through one of the following two preferred low-power methods, aiming to complete continuous and complex sensor data judgments with minimal energy cost:

[0152] Method 1: Implemented by a dedicated low-power coprocessor. This coprocessor is a hardware unit specifically designed for performing simple, repetitive sensor data monitoring and threshold comparison tasks, with its own power consumption as low as microamps. It operates independently of the main processor; even when the main processor is in deep sleep, the coprocessor can continue to run, receiving sensor layer data and performing first- and second-level trigger judgments. This method decouples complex intelligent judgment tasks from the high-power main processor, allowing dedicated low-power hardware to handle them, thus optimizing energy efficiency.

[0153] Method 2: Implemented by intermittently waking the main processor from a shallow sleep mode. The main processor spends most of its time in a shallow sleep mode, where power consumption is slightly higher than deep sleep but far lower than full-speed operation. It is configured to activate intermittently with a very low duty cycle (e.g., waking up 10 milliseconds per second), quickly reading and processing the latest sensor data and executing decision logic within a brief active window, before immediately returning to shallow sleep. This method utilizes a single processor resource, achieving a balance between performance and power consumption through a time-slicing strategy.

[0154] By constructing a heterogeneous computing architecture with deep hibernation of the main system and extremely low power consumption of the monitoring system, extreme static power consumption control is achieved. The highest power consumption units in the system (main processor, positioning module, and communication module) are completely shut down or put into deep hibernation under normal conditions, eliminating the main source of static power consumption at the system architecture level. This is the core hardware foundation for achieving the invention goal of "low power consumption".

[0155] On the other hand, it can also ensure the real-time response of the system. The independent low-power coprocessor or the intermittent wake-up mechanism of the main processor ensures that the system can monitor and intelligently judge the sensor data 24 / 7. Once the trigger condition is met, it can respond immediately, solving the risk of "trigger sluggishness" caused by simply relying on timed wake-up.

[0156] Furthermore, it can improve system integration and reliability. Specifically, using a dedicated low-power coprocessor helps reduce the burden on the main processor and optimize system resource allocation; while using intermittent main processor wake-up helps reduce hardware complexity and cost. Both methods contribute to improving the overall reliability and usability of the system.

[0157] Example 3

[0158] This invention also provides a safety helmet for electrical work, comprising a helmet body and a low-power satellite positioning triggering system as described in the second aspect. The helmet body is made of ABS engineering plastic conforming to national standards, and has an internal cushioning layer and a comfortable lining. The low-power satellite positioning triggering system is integrated into the helmet body in a modular manner, and its specific arrangement is as follows:

[0159] Ultra-low power sensing layer: A triaxial accelerometer and barometer module are installed inside the protective compartment on the top of the helmet to accurately sense motion and changes in air pressure. The sensing electrodes of the proximity sensor are embedded in the lining area near the wearer's forehead for reliable detection of the wearing status.

[0160] The intelligent decision-making layer and execution communication layer, including the main control circuit board of the main processor / coprocessor, satellite positioning module (such as GNSS / BeiDou module) and communication module (such as 4G Cat.1 module), are encapsulated in a lightweight, shockproof, and shielded shell and fixed to the back or side of the helmet to achieve a balanced weight distribution and avoid affecting wearing comfort.

[0161] Power module: A small-capacity lithium polymer battery (e.g., 600mAh) powers the entire system. Thanks to the ultra-low power consumption characteristics of this invention, a small-capacity battery can meet the requirements for long-term battery life, avoiding the problem of bulky equipment caused by installing large-capacity batteries, and effectively solving the contradiction between "device miniaturization requirements" and "battery life".

[0162] When power workers wear the safety helmet while working, the system immediately begins to operate. Its workflow is consistent with the method described in Example 1 and the system embodiment described in Example 2. Through a multi-level collaborative mechanism of "continuous perception - first-level judgment - second-level judgment - conditional execution", the high-power positioning and communication functions are only activated when a real risk (such as a fall or disability) is detected.

[0163] The power work safety helmet described in this invention integrates an innovative low-power satellite positioning triggering system with the helmet body, successfully upgrading a passive protective device into a safety platform with active intelligent early warning capabilities, effectively solving the core technical obstacles faced by traditional smart safety helmets in the process of practical application.

[0164] Example 4

[0165] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein, when the program is executed, it controls the device on which the storage medium is located to perform some or all of the steps in Embodiment 1.

[0166] The computer-readable storage medium may include high-speed RAM memory and may also include nonvolatile memory (NVM), such as at least one disk storage device. It is understood that the storage medium can be any machine-readable medium capable of storing program code, such as random access memory (RAM), magnetic disk, hard disk, solid state disk (SSD), or nonvolatile memory.

[0167] Those skilled in the art will understand that embodiments of the present invention can be provided as methods or storage media. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0168] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct or indirect applications in other related technical fields, are within the patent protection scope of the present invention.

Claims

1. A low-power satellite positioning triggering method, applied to safety helmets for power work, characterized in that, The steps include: The ultra-low power sensor continuously collects sensing data, which includes at least motion data, wearing status data, and air pressure data. Based on the motion data and the wearing status data, a first-level trigger judgment is made: when the motion data indicates that the motion intensity exceeds a first preset threshold and lasts for a first preset duration, and the wearing status data confirms that the helmet is being worn, a first-level trigger signal is generated; when no first-level trigger signal is generated, the satellite positioning module and the communication module are in a power-off or deep sleep state. In response to the first-level trigger signal, the analysis of air pressure data is initiated to calculate the rate of change of altitude per unit time; A secondary trigger judgment is performed based on the altitude change rate to identify whether the operation status is abnormal. It is determined whether the altitude change rate exceeds a negative emergency threshold. The negative emergency threshold is much higher than the normal climbing or descending speed of personnel. If it exceeds the negative emergency threshold, it is determined to be an abnormal state indicating a personnel fall. In the secondary trigger judgment, if it is determined that the altitude change rate is within a preset normal change range, it is identified as normal climbing or descending operation behavior, and the satellite positioning module and the communication module are kept in a dormant state. If the abnormal state is determined, the satellite positioning module and the communication module are woken up to perform the positioning and alarm information uploading operation. After the information uploading is completed, the satellite positioning module and the communication module are powered down or enter a deep sleep state.

2. The low-power satellite positioning triggering method according to claim 1, characterized in that, The method of performing a secondary trigger judgment based on the altitude change rate to identify whether the operation status is abnormal also includes: After detecting that the change in altitude has stopped, acquire the measured equipment attitude data and the duration of stillness; Determine whether the device posture data indicates that the device is in an abnormal posture and / or whether the duration of stillness exceeds a safety threshold; If the device posture data indicates that the device is in an abnormal posture and / or the duration of stillness exceeds the safety threshold, it is determined to be an abnormal state characterizing personnel disability or entrapment.

3. A low-power satellite positioning triggering method according to claim 1 or 2, characterized in that, The ultra-low power sensor includes a triaxial accelerometer, a barometer, and a proximity sensor; The ultra-low power sensor continuously collects sensing data, including: The motion acceleration is continuously monitored by the triaxial accelerometer to generate the motion data; The proximity sensor continuously detects whether the garment is being worn in order to generate the wearing status data; The barometer is activated after generating a first-level trigger signal to collect air pressure data for calculating the rate of change of altitude.

4. A low-power satellite positioning triggering method according to claim 1 or 2, characterized in that, The operation of performing location and alarm information upload includes: The satellite positioning module is controlled to obtain the current geographical location coordinates; The communication module is controlled to send alarm information to the monitoring center. The alarm information includes at least the geographical coordinates, trigger type, and timestamp.

5. A low-power satellite positioning triggering system, installed in a power work safety helmet, for implementing the method as described in any one of claims 1-4, characterized in that, The system includes: The ultra-low power sensing layer includes an accelerometer for acquiring motion data, a barometer for acquiring air pressure data, and a proximity sensor for detecting wearing status. The ultra-low power sensing layer is configured to operate continuously. The intelligent decision-making layer, connected to the ultra-low power sensing layer, is configured as follows: Receive the motion data and the wearing status data, and perform a first-level trigger judgment based on them; In response to the generation of a first-level trigger signal, the analysis of air pressure data is initiated to calculate the rate of change of altitude; A secondary trigger judgment is performed based on the altitude change rate to identify abnormal states; The execution communication layer, connected to the intelligent decision-making layer, includes a satellite positioning module and a communication module; The intelligent decision-making layer is also configured to send a wake-up command to the execution communication layer only when an abnormal state is determined, so as to trigger the uploading of positioning and alarm information.

6. A low-power satellite positioning triggering system according to claim 5, characterized in that, The intelligent decision-making layer is specifically configured in the secondary trigger judgment as follows: If the rate of change of altitude is determined to exceed a negative emergency threshold, it is identified as an abnormal state of a person falling. And / or, If, after the change in altitude stops, the accelerometer data indicates that the equipment is in an abnormal posture and the duration of stillness exceeds a safety threshold, it is identified as an abnormal state of personnel disability or entrapment.

7. A low-power satellite positioning triggering system according to claim 6, characterized in that, The system also includes a main processor; When no primary trigger signal is generated, the main processor, the satellite positioning module, and the communication module are in a power-off or deep sleep state. The intelligent decision-making layer is implemented by a low-power coprocessor independent of the main processor, or by the main processor being intermittently woken up in shallow sleep mode to execute the judgment logic.

8. A safety helmet for electrical work, characterized in that, It includes a safety helmet body and a low-power satellite positioning triggering system as described in any one of claims 5-7.

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