Intelligent wearable device with shift following low-power consumption control function

Abstract

The application discloses a kind of intelligent wearable equipment with low-power consumption control function of scheduling follow, comprising: shell;Identity recognition interaction unit is set to the surface or inside the shell, for collecting the identity identification information of current taking personnel in taking stage;Multi-dimensional perception positioning unit is set to the shell, for switching to full-function operating state according to activation instruction, and switching to dormancy inhibition state according to dormancy instruction;And controller, for obtaining the taking personnel identity identification information downloads the target scheduling table of unique binding, real-time system time is obtained and the system time is compared with the target scheduling table;When determining that the system time is in the working period, generate activation instruction and send to the multi-dimensional perception positioning unit;When determining that the system time is in the non-working period, generate dormancy instruction and send to the multi-dimensional perception positioning unit.

Description

Technical Field

[0001] This invention pertains to intelligent wearable devices, specifically to an intelligent wearable device with a scheduling and low-power control function. Background Technology

[0002] With the development of IoT technology, smart wearable devices (such as smart safety helmets, positioning wristbands, and smart work badges) have been widely used in industrial production, engineering construction, and personnel monitoring. These devices typically integrate positioning modules (such as GNSS), sensors, and wireless communication units to monitor personnel's location, vital signs, and work status in real time, thereby ensuring personnel safety and improving management efficiency.

[0003] However, in practical applications, smart wearable devices face severe challenges in power consumption and battery life. First, to ensure real-time monitoring, devices often need to frequently activate positioning and data upload functions, leading to rapid battery drain and frequent charging, increasing maintenance costs and inconvenience. Second, existing low-power control methods are relatively simple, typically relying on basic stationary / motion detection or fixed timed power-on / off strategies. This approach lacks flexibility and cannot adapt to complex scenarios involving shift work, rotating shifts, or multiple job types sharing the same equipment. For example, when the device is not in use (such as during lunch breaks or shift changes) but is carried by the user, motion-detection-based devices will continue to operate at high power consumption, causing unnecessary energy waste; while fixed timed strategies cannot differentiate between the individual working hours of different users, leading to rigid management.

[0004] Therefore, there is an urgent need for a control method and equipment that can intelligently adjust the working status of the equipment based on the identity of the actual user and their corresponding shift schedule, so as to minimize power consumption while ensuring regulatory requirements are met. Summary of the Invention

[0005] In view of this, the main objective of the present invention is to provide a smart wearable device with a scheduling-following low-power control function.

[0006] To achieve the above objectives, the technical solution of the present invention is implemented as follows: A smart wearable device with a scheduling-following low-power control function, the smart wearable device comprising: case; An identity recognition interaction unit is disposed on the surface or inside the housing and is used to collect the identity information of the current user during the requisition phase. A multi-dimensional sensing and positioning unit is disposed within the housing. It is used to switch to a full-function operation state according to an activation command and to switch to a sleep suppression state according to a sleep command. It is also used to collect multi-dimensional monitoring data, including geographical location, work posture and environmental microclimate, in real time in the full-function operation state, and to cut off or reduce the collection frequency of multi-dimensional monitoring data, including geographical location, work posture and environmental microclimate, in the sleep suppression state. The controller is electrically connected to the identity recognition interaction unit and the multi-dimensional perception positioning unit, respectively, and is used to obtain the identity identification information of the personnel to download the uniquely bound target schedule, obtain the system time in real time, and compare the system time with the target schedule. When it is determined that the system time is within the working period, an activation command is generated and sent to the multi-dimensional sensing and positioning unit; When it is determined that the system time is within the non-working period, a sleep command is generated and sent to the multi-dimensional sensing and positioning unit.

[0007] Preferably, the smart wearable device further includes: The wireless communication unit is used to establish a communication connection with the cloud management platform, download a uniquely bound target schedule based on the user's identification information, the target schedule containing the time sequence of the user's working hours and non-working hours within a preset period; and to maintain a low-power listening channel to receive remote activation commands. The controller is further configured to generate a forced instruction based on the remote activation instruction and send it to the multi-dimensional sensing and positioning unit; The multi-dimensional sensing and positioning unit is used to switch from the hibernation suppression state to the full-function operation state according to the forced instruction.

[0008] Preferably, the multi-dimensional sensing and positioning unit is further configured to update the locally stored target schedule in real time and immediately perform a status switch based on the updated schedule when a new temporary scheduling task is received.

[0009] Preferably, the identity recognition interaction unit includes an NFC read / write module, a fingerprint recognition module, or a face recognition module integrated on the surface of the housing; the controller is also configured to execute device return and unbinding logic: when a power input signal is detected that the device is connected to the charging dock, or when a specific return confirmation signal is received through the identity recognition interaction unit, an unbinding operation is performed, the target schedule and identity information stored locally are deleted, and the device is controlled to enter a deep standby mode waiting to be picked up.

[0010] Preferably, the multi-dimensional sensing and positioning unit includes an accelerometer; used to retain only the low-frequency monitoring function of the accelerometer while turning off other high-power sensors in the dormant suppression state; The controller is further configured to, when determining that the system time is within the non-working period, determine that the movement acceleration value detected by the acceleration sensor continuously exceeds a preset static threshold or detects continuous displacement characteristics, as abnormal movement during the non-working period. It is also used to respond to the abnormal movement, generate a single or short-term activation command, control the multi-dimensional sensing and positioning unit to wake up and collect the current geographical location data, upload it to the cloud management platform for alarm through the wireless communication unit, and then regenerate the sleep command.

[0011] Preferably, the target shift schedule also includes preset geofence information corresponding to the working hours; the controller is also used to trigger an off-duty alarm signal if the geographical location data collected by the multi-dimensional sensing and positioning unit exceeds the preset geofence range during the working hours. It is also used to automatically control the multi-dimensional sensing and positioning unit to perform a preheating positioning within a preset time before the end of the non-working period, in order to confirm whether the current location of the device is within the preset geofence range. If it is not within the range, an abnormal prompt will be triggered in advance.

[0012] Preferably, the multi-dimensional sensing and positioning unit further includes a fall detection module or a vital signs monitoring module; the controller is also used to immediately terminate the current dormant suppression state and force a switch to full-function operation state when fall characteristic data or abnormal vital signs data are detected, and send a distress signal and current location information with the highest priority.

[0013] Preferably, the controller is further configured to calculate the required theoretical power consumption based on the total working hours in the target schedule after downloading the target schedule; if it is detected that the current remaining battery power is lower than the sum of the theoretical power consumption and the safety redundancy, then a prompt indicating that the power is insufficient to support the current schedule is issued through the human-computer interaction interface of the smart wearable device, or a request to replace the device is sent to the cloud management platform.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention uses a controller to download a target shift schedule uniquely linked to the user's identity and compares it with the system time in real time to accurately identify whether the user is currently in a working period. During non-working periods, it automatically generates a sleep command to switch to a sleep suppression state, cutting off or reducing the sampling frequency of high-power sensors (such as positioning and environmental monitoring). Compared to traditional 24 / 7 operation or modes triggered only by movement, this invention completely eliminates ineffective power consumption during non-working periods (such as rest or commuting), significantly extending the device's single-charge usage time. Attached Figure Description

[0015] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and, together with their descriptions, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the structure of a smart wearable device with a scheduling and low-power control function, provided in an embodiment of the present invention. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0017] In the accompanying drawings of this embodiment, the same or similar reference numerals correspond to the same or similar components. In the description of this invention, it should be understood that the terms "up," "down," "left," "right," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the accompanying drawings are only for illustrative purposes and should not be construed as limiting this patent. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0018] It should be noted that, in this document, the terms include, encompass, or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, article, or apparatus. Without further limitation, an element defined by the phrase "including a…" does not exclude the presence of other identical elements in the process, article, or apparatus that includes that element.

[0019] This invention provides a smart wearable device with a scheduling-following low-power control function, such as... Figure 1 As shown, the smart wearable device includes: case; An identity recognition interaction unit is disposed on the surface or inside the housing and is used to collect the identity information of the current user during the requisition phase. A multi-dimensional sensing and positioning unit is disposed within the housing. It is used to switch to a full-function operation state according to an activation command and to switch to a sleep suppression state according to a sleep command. It is also used to collect multi-dimensional monitoring data, including geographical location, work posture and environmental microclimate, in real time in the full-function operation state, and to cut off or reduce the collection frequency of multi-dimensional monitoring data, including geographical location, work posture and environmental microclimate, in the sleep suppression state. The controller is electrically connected to the identity recognition interaction unit and the multi-dimensional perception positioning unit, respectively, and is used to obtain the identity identification information of the personnel to download the uniquely bound target schedule, obtain the system time in real time, and compare the system time with the target schedule. When it is determined that the system time is within the working period, an activation command is generated and sent to the multi-dimensional sensing and positioning unit; When it is determined that the system time is within the non-working period, a sleep command is generated and sent to the multi-dimensional sensing and positioning unit.

[0020] In this embodiment, the smart wearable device can specifically take the form of a smart safety helmet, smart bracelet, or name tag. The housing serves as the main support, and its surface or interior integrates an identity recognition interaction unit, which can specifically be an NFC card reader, a fingerprint recognition module, or a face scanning camera. During the actual work scenario's requisition phase, when the operator (requisitioning personnel) retrieves the device from the charging rack or warehouse, they trigger the identity recognition interaction unit by swiping their employee card or performing biometric verification. At this point, the device not only completes physical requisition but also initializes human-machine binding at the data level. The controller immediately reads the requisitioning personnel's unique identification information (ID), laying the foundation for subsequent personalized configuration.

[0021] Subsequently, based on the acquired identity information, the controller sends a request to the cloud server via the wireless communication unit to accurately download the target shift schedule bound to the individual's current task. This target shift schedule is not a general factory-wide work schedule, but rather includes the specific individual's precise working hours (e.g., 08:00-12:00, 14:00-18:00) and non-working hours (e.g., lunch break from 12:00-14:00, or after 18:00) for the day. The controller internally runs a clock comparison logic that polls the system time in real time at a frequency of seconds or minutes and dynamically matches it with the locally cached target shift schedule.

[0022] Based on the comparison results, the controller implements refined power consumption management for the multi-dimensional sensing and positioning unit. Specifically, when the system time falls within the working period, the controller issues an activation command, driving the GNSS positioning module, attitude sensor, and gas environment sensor into full-function operation, collecting geographic location and environmental safety data at high frequency (e.g., once per second) to ensure fully transparent monitoring of the operation process. Conversely, once the time enters the non-working period, the controller immediately issues a sleep command, forcing the multi-dimensional sensing and positioning unit to switch to a sleep suppression state. In this state, the high-power satellite positioning and gas detection functions are cut off or downgraded to a low-frequency heartbeat mode (e.g., only retaining the accelerometer to detect abnormal movement), thereby maximizing power saving during non-operational periods and significantly improving the equipment's endurance.

[0023] This invention uses a controller to download a target shift schedule uniquely linked to the user's identity and compares it with the system time in real time to accurately identify whether the user is currently in a working period. During non-working periods, it automatically generates a sleep command to switch to a sleep suppression state, cutting off or reducing the sampling frequency of high-power sensors (such as positioning and environmental monitoring). Compared to traditional 24 / 7 operation or modes triggered only by movement, this solution completely eliminates ineffective power consumption during non-working periods (such as rest or commuting), significantly extending the device's single-charge usage time.

[0024] The smart wearable device of the present invention is not bound to a fixed working time. Instead, it dynamically loads the corresponding shift schedule after obtaining the user information through the identity recognition interaction unit. This means that the same device can be used by people of different shifts (such as early shift and late shift) or different jobs in turn. The device will automatically adjust its power consumption according to the current user's work and rest pattern. This not only solves the management problem of public equipment, but also improves the utilization rate of the equipment and reduces the number of equipment purchased by the enterprise.

[0025] The state switching of the smart wearable device of the present invention is completely determined and executed automatically by the controller according to the work schedule (automatically generating activation or sleep commands), without the wearer having to manually turn the device on or off. This not only avoids the problem of battery depletion caused by employees forgetting to turn it off, but also prevents the lack of supervision caused by employees accidentally turning off the device during working hours, ensuring the integrity of work data and the standardization of equipment use.

[0026] Furthermore, the smart wearable device also includes: a wireless communication unit, used to establish a communication connection with the cloud management platform, download a uniquely bound target schedule based on the user's identification information, the target schedule containing the time sequence of the user's working hours and non-working hours within a preset period; and used to maintain a low-power listening channel to receive remote activation commands; The controller is further configured to generate a forced instruction based on the remote activation instruction and send it to the multi-dimensional sensing and positioning unit; The multi-dimensional sensing and positioning unit is used to switch from the hibernation suppression state to the full-function operation state according to the forced instruction.

[0027] Specifically, the wireless communication unit, acting as a bridge between the device and the cloud, employs low-power wide-area network technologies such as NB-IoT, Cat-1, or LoRa. During the initialization phase after device identification, the wireless communication unit immediately establishes an encrypted communication connection with the cloud management platform and uploads the user's identification information. The cloud management platform retrieves the database based on this identification and issues a target shift schedule uniquely corresponding to the user's current task cycle (e.g., daily shift or weekly schedule). This target shift schedule is stored locally in the form of time-series data packets, precisely defining the user's working hours (e.g., 08:00-12:00) and non-working hours (e.g., 12:00-14:00) within a preset cycle, enabling the device to determine its working status offline.

[0028] To balance the need for constant availability with extreme power saving, the wireless communication unit is configured to maintain a low-power listening channel during non-operating periods. When the device is in a sleep suppression state, the wireless communication unit enters PSM (Power Saving Mode) or eDRX (Extended Discontinuous Receiver) mode, shutting down most of the radio frequency circuits and retaining only microamps of current to maintain the heartbeat connection with the base station. It periodically wakes up for a very short time to listen for downlink commands from the cloud, ensuring that the device remains online and reachable even in deep sleep without significant power consumption.

[0029] When encountering sudden emergency tasks (such as temporary overtime or emergency dispatch) or schedule changes, the cloud management platform will issue a remote activation command through the aforementioned listening channel. Once the controller parses this command through the wireless communication unit, it will immediately initiate high-priority forced intervention logic. At this time, the controller will ignore the sleep definition for non-working hours in the locally stored target schedule table, directly generate a forced command, and send it to the multi-dimensional sensing and positioning unit. Responding to this forced command, the multi-dimensional sensing and positioning unit will quickly start from the sleep suppression state, restoring GNSS positioning, attitude monitoring, and data upload functions, thereby achieving a millisecond-level switch from silent sleep to full-function operation, ensuring the management's immediate response and control of emergencies.

[0030] Furthermore, the multi-dimensional sensing and positioning unit is also used to update the locally stored target schedule in real time and immediately perform a state switch according to the updated schedule when a new temporary scheduling task is received.

[0031] Specifically, in practical applications, work plans often change dynamically due to sudden production demands or personnel reassignment (e.g., temporary overtime arrangements or emergency shift changes). To accommodate this flexibility, the smart wearable device has the capability for online hot updates of the work schedule. When the cloud management platform sends a new temporary work schedule data packet, the wireless communication unit will prioritize receiving and transmitting it to the controller, regardless of the device's current state. The controller then overwrites or incrementally updates the target work schedule in its local memory, writing the new work time period (e.g., extending the original end time from 17:00 to 20:00) into the system's logical judgment library in real time, completing configuration synchronization without restarting the device.

[0032] Following this, the controller executes immediate response logic, forcibly triggering a comparison operation between the system time and the new schedule within milliseconds of completing the schedule update. If, according to the old schedule, the current time should be during a non-working period (the equipment is in sleep mode), but according to the updated schedule, the current time has changed to a working period, the controller will not wait for the next regular polling cycle but will immediately generate an activation command. This command drives the multi-dimensional sensing and positioning unit to quickly switch from a sleep suppression state back to a full-function operating state, automatically activating positioning and monitoring functions. This ensures seamless continuity of equipment monitoring status when tasks change, avoiding data loss due to scheduling delays and allowing for a smooth transition to the new working mode without any manual operation from operators.

[0033] Furthermore, the identity recognition interaction unit includes an NFC read / write module, a fingerprint recognition module, or a face recognition module integrated on the surface of the housing; the controller is also configured to execute device return and unbinding logic: when a power input signal is detected that the device is connected to the charging dock, or when a specific return confirmation signal is received through the identity recognition interaction unit, an unbinding operation is performed, the target schedule and identity information stored locally are deleted, and the device is controlled to enter a deep standby mode waiting to be picked up.

[0034] Specifically, to adapt to different security levels of work scenarios, the identity recognition interaction unit can be optionally equipped as an NFC read / write module embedded in the top of the housing, which allows employees to log in in milliseconds by swiping their work cards; or a capacitive fingerprint recognition module integrated on the side of the device to provide higher biometric uniqueness verification; or a front-mounted low-power face recognition module.

[0035] In managing the device return process, the controller is configured with a physical return detection and logical unbinding linkage mechanism. When the user places the device into the centralized charging cabinet, the metal contacts (PogoPin) on the bottom of the device or the wireless charging coil detects an external power supply connection signal (voltage or current jump), and the controller immediately determines that the current task is completed. Alternatively, the user can swipe a specific return confirmation card again through the identity recognition interaction unit or confirm the completion of the task on the interface, generating a specific return confirmation signal.

[0036] Upon detecting any of the above return trigger conditions, the controller immediately initiates the unbinding and cleaning process. The controller disconnects from the cloud data and performs an erase operation on the local storage, completely deleting the current user's identification information and the corresponding target schedule. This prevents the next user from accessing the previous user's private data or schedule remnants, ensuring the compliance of the shared equipment. After data cleaning, the device automatically enters a low-power deep standby mode. In this mode, except for the power management circuit and the wake-up interrupt pin of the identification unit, the power to all processor cores, communication modules, and sensors is completely cut off, allowing the device to remain in standby mode for weeks or even months until the next requisition is triggered.

[0037] Furthermore, the multi-dimensional sensing and positioning unit includes an accelerometer; used to retain only the low-frequency monitoring function of the accelerometer in the dormant suppression state, while turning off other high-power sensors; The controller is further configured to, when determining that the system time is within the non-working period, determine that the movement acceleration value detected by the acceleration sensor continuously exceeds a preset static threshold or detects continuous displacement characteristics, as abnormal movement during the non-working period. It is also used to respond to the abnormal movement, generate a single or short-term activation command, control the multi-dimensional sensing and positioning unit to wake up and collect the current geographical location data, upload it to the cloud management platform for alarm through the wireless communication unit, and then regenerate the sleep command.

[0038] Specifically, to balance extreme power saving and asset security during sleep suppression, the multi-dimensional sensing and positioning unit incorporates an accelerometer. When the device enters sleep mode during non-working periods, the controller cuts off the power to the high-power GNSS satellite positioning module, ambient gas sensor, and photoelectric heart rate sensor, leaving only the accelerometer running at an extremely low sampling frequency (e.g., 1Hz-5Hz) or in interrupt-triggered mode. With this setup, the sensor's power consumption is typically only at the microamp level, barely affecting the battery's long-term standby performance, while maintaining continuous sensing of the device's physical state.

[0039] During this period, the controller runs background monitoring logic, continuously analyzing the data stream transmitted from the accelerometer. When the system time is determined to be a non-working period (e.g., nighttime or weekend), the controller compares the acceleration data with a preset static threshold. To prevent false alarms (such as slight vibrations on a desktop or brief touches while cleaning), the controller employs a continuous displacement feature recognition algorithm. Only when the detected acceleration change exceeds the threshold and the duration of this dynamic exceeds a specific time (e.g., continuous movement for more than 3 minutes) or exhibits regular displacement characteristics will the controller determine that abnormal movement has occurred during a non-working period. This effectively distinguishes between occasional interference and genuine unauthorized carrying or theft.

[0040] Once abnormal movement is confirmed, the controller immediately triggers an alarm process, generating a one-time or short-duration activation command to forcibly wake up the dormant multi-dimensional sensing and positioning unit. The GNSS module then performs a cold start and quickly searches for satellites to obtain the current precise latitude and longitude coordinates. Simultaneously, the wireless communication unit establishes a connection and urgently uploads a data packet containing the abnormal movement alarm marker, current location, and time of occurrence to the cloud management platform, allowing administrators to track the device's whereabouts. After completing this series of actions (usually within a few minutes), the controller does not need to wait for a response from the cloud and immediately regenerates a hibernation command, forcibly shutting down the positioning and communication modules, causing the device to quickly return to a hibernation suppression state. This ensures that even if the device is illegally removed, it can continue to report its trajectory while maximizing the preservation of remaining battery power for long-term tracking.

[0041] Furthermore, the target shift schedule also includes preset geofence information corresponding to the working hours; the controller is also used to trigger an off-duty alarm signal if the geographical location data collected by the multi-dimensional sensing and positioning unit exceeds the preset geofence range during the working hours. It is also used to automatically control the multi-dimensional sensing and positioning unit to perform a preheating positioning within a preset time before the end of the non-working period, in order to confirm whether the current location of the device is within the preset geofence range. If it is not within the range, an abnormal prompt will be triggered in advance.

[0042] Furthermore, the multi-dimensional sensing and positioning unit also includes a fall detection module or a vital signs monitoring module; the controller is also used to immediately terminate the current dormant suppression state and force a switch to full-function operation state when fall characteristic data or abnormal vital signs data are detected, and send a distress signal and current location information with the highest priority.

[0043] Specifically, to achieve refined spatial control, when the controller downloads the target shift schedule, the data table not only includes the definition of the time dimension but also encapsulates preset geofence information corresponding to each work period. This can consist of polygonal area (electronic fence) data composed of a set of latitude and longitude coordinates, or circular area data defined by a center coordinate point and radius. During the work period, the controller operates at full capacity, and the multi-dimensional sensing and positioning unit continuously collects the current geographic coordinates. The controller incorporates a point-area inclusion algorithm (such as the ray method) to calculate in real time whether the current coordinate point is located inside the preset geofence polygon. Once the calculation result shows that the equipment position exceeds the compliant area (e.g., the operator leaves the designated workshop or construction site), the controller immediately triggers an off-duty alarm signal. This signal not only drives the equipment to emit audible and visual prompts or vibration warnings to correct the personnel's behavior but also reports the violation to the backend via the wireless communication unit, achieving real-time monitoring of off-duty behavior.

[0044] To address the monitoring delays caused by slow cold start-up of traditional equipment or personnel lateness at the start of operations, the controller is configured to automatically activate the multi-dimensional sensing positioning unit for a short GNSS satellite search and positioning process—a pre-warm-up positioning—within a preset time before the end of the non-working period (dormant state) (e.g., 15 minutes before the start of the morning shift). The controller uses this pre-acquired location data to make a preliminary comparison with the geofence that will take effect in 15 minutes. If the controller detects that the equipment's current location is too far from the work area (outside the geofence), it determines that the personnel are at risk of being late and triggers an early warning (e.g., playing a voice message: "Work is about to begin; please proceed to the work area as soon as possible"). This transforms post-event penalties into pre-event reminders, both allowing for GNSS module cold start time (TTFF) and effectively improving personnel punctuality.

[0045] Furthermore, the controller is also used to calculate the required theoretical power consumption based on the total working hours in the target schedule after downloading the target schedule; if it is detected that the current remaining battery power is lower than the sum of the theoretical power consumption and the safety redundancy, it will issue a prompt that the power is insufficient to support the current schedule through the human-computer interaction interface of the smart wearable device, or send a device replacement request to the cloud management platform.

[0046] Specifically, to completely eliminate monitoring blind spots caused by equipment power outages during operations, the controller is configured to parse the shift schedule data and calculate the total working time (e.g., 8 hours) during the initialization phase after the user completes identity verification and downloads the target shift schedule (i.e., before the equipment is taken away from the charging area). Subsequently, the controller calls the power consumption model parameters pre-stored in the firmware, which define the average unit energy consumption of the equipment in full-function operation (e.g., 50mAh per hour). The total duration is multiplied by the unit energy consumption to obtain the theoretical power consumption required to complete the current shift task.

[0047] Considering uncontrollable factors such as battery aging, voltage drops due to low temperatures, and increased power consumption due to network searching in weak signal areas, the controller also adds a dynamic safety redundancy (e.g., 15% of the theoretical value or a fixed reserve capacity) during calculation. Next, the controller reads the current remaining battery capacity (SOC) through the power management chip (PMIC) and compares it to the sum of the theoretical power consumption and the safety redundancy, setting a threshold.

[0048] Once the current battery level is detected to be below the total threshold, the controller will determine that the device lacks the battery life to perform the current task and immediately trigger a blocking and warning mechanism. On one hand, locally, the controller drives the human-machine interface (such as an OLED screen, LED indicator ring, or voice module) to issue explicit alarm messages, such as displaying low battery (estimated 2 hours of power loss), requesting a replacement device, or playing a voice prompt to prevent the user from taking the device away. On the other hand, the controller sends a device replacement request or a low battery maintenance flag to the cloud management platform via its wireless communication unit. Upon receiving the request, the cloud management platform can automatically mark the device's availability as "under maintenance" and guide administrators to perform battery maintenance or replacement, thus ensuring the reliability of the device for each deployment from the outset.

[0049] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. A smart wearable device with a scheduling-following low-power control function, characterized in that, The smart wearable device includes: case; An identity recognition interaction unit is disposed on the surface or inside the housing and is used to collect the identity information of the current user during the requisition phase. A multi-dimensional sensing and positioning unit is disposed within the housing. It is used to switch to a full-function operation state according to an activation command and to switch to a sleep suppression state according to a sleep command. It is also used to collect multi-dimensional monitoring data, including geographical location, work posture and environmental microclimate, in real time in the full-function operation state, and to cut off or reduce the collection frequency of multi-dimensional monitoring data, including geographical location, work posture and environmental microclimate, in the sleep suppression state. The controller is electrically connected to the identity recognition interaction unit and the multi-dimensional perception positioning unit, respectively, and is used to obtain the identity identification information of the personnel to download the uniquely bound target schedule, obtain the system time in real time, and compare the system time with the target schedule. When it is determined that the system time is within the working period, an activation command is generated and sent to the multi-dimensional sensing and positioning unit; When it is determined that the system time is within the non-working period, a sleep command is generated and sent to the multi-dimensional sensing and positioning unit.

2. The smart wearable device with scheduling and low-power control function according to claim 1, characterized in that, The smart wearable device also includes: The wireless communication unit is used to establish a communication connection with the cloud management platform, download a uniquely bound target schedule based on the user's identification information, the target schedule containing the time sequence of the user's working hours and non-working hours within a preset period; and to maintain a low-power listening channel to receive remote activation commands. The controller is further configured to generate a forced instruction based on the remote activation instruction and send it to the multi-dimensional sensing and positioning unit; The multi-dimensional sensing and positioning unit is used to switch from the hibernation suppression state to the full-function operation state according to the forced instruction.

3. The smart wearable device according to claim 1 or 2, characterized in that, The multi-dimensional sensing and positioning unit is also used to update the locally stored target schedule in real time and immediately perform a status switch according to the updated schedule when a new temporary scheduling task is received.

4. The smart wearable device according to claim 3, characterized in that, The identity recognition interaction unit includes an NFC read / write module, a fingerprint recognition module, or a face recognition module integrated on the surface of the housing; the controller is also configured to execute device return and unbinding logic: when a power input signal is detected that the device is connected to the charging dock, or when a specific return confirmation signal is received through the identity recognition interaction unit, an unbinding operation is performed, the target schedule and identity information stored locally are deleted, and the device is controlled to enter a deep standby mode waiting to be picked up.

5. The smart wearable device according to claim 4, characterized in that, The multi-dimensional sensing and positioning unit includes an accelerometer; it is used to retain only the low-frequency monitoring function of the accelerometer in the dormant suppression state, while turning off other high-power sensors. The controller is further configured to, when determining that the system time is within the non-working period, determine that the movement acceleration value detected by the acceleration sensor continuously exceeds a preset static threshold or detects continuous displacement characteristics, as abnormal movement during the non-working period. It is also used to respond to the abnormal movement, generate a single or short-term activation command, control the multi-dimensional sensing and positioning unit to wake up and collect the current geographical location data, upload it to the cloud management platform for alarm through the wireless communication unit, and then regenerate the sleep command.

6. The smart wearable device with scheduling and low-power control function according to claim 5, characterized in that, The target shift schedule also includes preset geofence information corresponding to the working hours; the controller is also used to trigger an off-duty alarm signal if the geographical location data collected by the multi-dimensional sensing and positioning unit exceeds the preset geofence range during the working hours. It is also used to automatically control the multi-dimensional sensing and positioning unit to perform a preheating positioning within a preset time before the end of the non-working period, in order to confirm whether the current location of the device is within the preset geofence range. If it is not within the range, an abnormal prompt will be triggered in advance.

7. The smart wearable device with scheduling and low-power control function according to claim 6, characterized in that, The multi-dimensional sensing and positioning unit also includes a fall detection module or a vital signs monitoring module; the controller is also used to immediately terminate the current dormant suppression state and force a switch to full-function operation state when fall characteristic data or abnormal vital signs data are detected, and send a distress signal and current location information with the highest priority.

8. The smart wearable device with scheduling and low-power control function according to claim 7, characterized in that, The controller is also used to calculate the required theoretical power consumption based on the total working hours in the target schedule after downloading the target schedule; if it detects that the current remaining battery power is lower than the sum of the theoretical power consumption and the safety redundancy, it will issue a prompt that the power is insufficient to support the current schedule through the human-computer interaction interface of the smart wearable device, or send a device replacement request to the cloud management platform.

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