Self-adaptive power transmission monitoring device dormancy wake-up control method and system

Abstract

The invention belongs to the technical field of power transmission line monitoring, and provides a sleep wake-up control method and system for a self-adaptive power transmission monitoring device, and the technical scheme comprises the steps: obtaining the historical current data of a power transmission line, and determining a basic wire current threshold value based on the historical current data; establishing mapping relationships between different wire current thresholds and magnetic core charging current, and setting a charging current threshold under each mapping relationship; judging the current working condition of the device according to the operation data collected in real time, and introducing an adjustment factor to dynamically correct the basic wire current threshold values under different working conditions to obtain a dynamic wire current threshold value; a four-level system of normal work-shallow dormancy-deep dormancy-hibernation mode is designed, depth is quantized according to the power consumption proportion, and fine power consumption management is achieved.

Description

Technical Field

[0001] This invention belongs to the field of power transmission line monitoring technology, and particularly relates to a sleep-wake control method and system for an adaptive power transmission monitoring device. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] As the backbone of the power system, the safe and stable operation of transmission lines is crucial. To monitor line status in real time, visual online monitoring devices based on inductive power supply have emerged. These devices typically integrate magnetic core power modules, cameras, inertial measurement units (IMUs), temperature and humidity sensors, etc., to collect multi-dimensional information such as images, vibrations, and meteorological data about the conductors and their surrounding environment. However, these devices are usually deployed in the field or even remote areas, and their energy relies entirely on magnetic field induction from the transmission lines. Energy limitation is the core bottleneck restricting their long-term reliable operation. Therefore, efficient sleep and wake-up control strategies have become key technologies for balancing device functionality and endurance, and improving monitoring effectiveness.

[0004] Currently, the sleep and wake-up control of such devices relies solely on fixed time or a single voltage / power threshold, ignoring the peak-flat-valley fluctuation pattern of line current and failing to respond to the dynamic changes in the actual operating conditions of transmission lines. Furthermore, a single threshold cannot address the current differences between different line types, including residential, industrial, and inter-regional lines, resulting in weak versatility. In addition, only a binary "sleep / wake-up" switching is supported; during sleep mode, all non-core modules are typically shut down, while during wake-up, all modules are activated. Full module wake-up leads to rapid battery depletion, while retaining only the core circuitry misses potential risks such as conductor micro-galloping, failing to balance the needs of "battery life" and "monitoring." Moreover, the sensors and sleep control are disconnected, resulting in data collection from the sensors' sleep state and line operating conditions, leading to poor data validity. Summary of the Invention

[0005] To address at least one of the technical problems mentioned above, this invention provides an adaptive power transmission monitoring device sleep-wake control method and system. This application significantly reduces power consumption through dynamic threshold modeling, multi-level sleep mode, and sensor linkage, and is highly versatile and adaptable to various types of power transmission lines.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: A first aspect of the present invention provides a sleep-wake control method for an adaptive power transmission monitoring device, comprising the following steps: Obtain historical current data of transmission lines and determine the current threshold of the foundation conductors based on the historical current data; Establish a mapping relationship between different conductor current thresholds and magnetic core charging current, and set the charging current threshold under each mapping relationship; Based on the real-time collected operating data, the current operating condition of the device is determined, and an adjustment factor is introduced to dynamically correct the basic conductor current threshold under different operating conditions, so as to obtain the dynamic conductor current threshold. Based on the comparison results of the collected conductor current and dynamic conductor current threshold, as well as the comparison results of the magnetic core charging current and charging current threshold, it is determined whether the wake-up condition is met. If the wake-up condition is met, the corresponding first sleep mode is matched based on the current operating data, and the operating frequency of the sensor is adjusted based on the first sleep mode and the operating condition of the device. If the wake-up condition is not met, it is further determined whether the low energy condition is met. If it is met, the second sleep mode is triggered and the corresponding energy-saving scheduling is executed.

[0007] Furthermore, the basic conductor current threshold includes a peak current threshold. Average current threshold and valley current threshold The division is based on: determining the peak current threshold based on the current in the peak interval of the first time period. The average current threshold is determined based on the average current over the second time period. The valley current threshold is determined based on the minimum current value in the third time period. .

[0008] Furthermore, the formula for calculating the dynamic conductor current threshold is: , in, For dynamic conductor current threshold, For selection , , The basic current threshold, , , These are battery capacity factor, environmental risk factor, and fault history factor. , , These are the preset weighting coefficients.

[0009] Furthermore, the current operating conditions of the device include normal operating conditions, low-power operating conditions, high-risk operating conditions, and low-load low-charging operating conditions, which are determined based on real-time collected operating data, including at least the conductor current. Core charging current Battery SOC, environmental parameters, and fault history.

[0010] Furthermore, the awakening condition is: and Forced wake-up, among which, For dynamic conductor current threshold, For the collected conductor current, For the charging current of the magnetic core, This is the low charging current threshold.

[0011] Furthermore, the first hibernation mode includes a shallow hibernation mode and a deep hibernation mode; When the SOC is within a preset normal range and the environmental risk is below a threshold, the shallow hibernation mode is matched; When the SOC is lower than the preset low power threshold, the deep sleep mode is activated; The second sleep mode is a hibernation mode, triggered by the core charging current. Below the preset low charging current threshold .

[0012] Furthermore, adjusting the sensor's operating frequency based on the first sleep mode and the device's operating conditions includes: Under normal operating conditions, a shallow sleep mode is triggered, and the camera is periodically started to capture images at the first frequency, and the inertial measurement unit and temperature and humidity sampling are run at the first sampling rate. In low power conditions, the deep sleep mode is triggered, the camera is turned off, and the inertial measurement unit and temperature and humidity sampling are periodically run at a second sampling rate lower than that of the shallow sleep mode. In high-risk operating conditions, the shallow sleep upgrade mode periodically starts the camera to take pictures at a third frequency higher than the shallow sleep mode, and runs the inertial measurement unit and temperature and humidity sampling at a third sampling rate.

[0013] A second aspect of the present invention provides an adaptive power transmission monitoring device sleep-wake control system, comprising: The basic threshold determination module is used to acquire historical current data of transmission lines and determine the basic conductor current threshold based on the historical current data. The threshold dynamic correction module is used to establish the mapping relationship between different conductor current thresholds and magnetic core charging current, and to set the charging current threshold under each mapping relationship. Based on the real-time collected operating data, the current operating condition of the device is determined, and an adjustment factor is introduced to dynamically correct the basic conductor current threshold under different operating conditions, so as to obtain the dynamic conductor current threshold. The power consumption control module is used to determine whether the wake-up condition is met based on the comparison results of the collected conductor current and the dynamic conductor current threshold, as well as the comparison results of the magnetic core charging current and the charging current threshold. If the wake-up condition is met, the corresponding first sleep mode is matched based on the current operating data, and the operating frequency of the sensor is adjusted based on the first sleep mode and the operating conditions of the device. If the wake-up condition is not met, the module further determines whether the low energy condition is met. If it is met, the second sleep mode is triggered and the corresponding energy-saving scheduling is executed.

[0014] A third aspect of the present invention provides a computer-readable storage medium.

[0015] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the adaptive power transmission monitoring device sleep-wake control method described above.

[0016] A fourth aspect of the present invention provides a computer device.

[0017] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps in the adaptive power transmission monitoring device sleep-wake control method described above.

[0018] Compared with the prior art, the beneficial effects of the present invention are: This invention creatively proposes a sleep-wake control method for a power transmission induction power extraction visualization device and develops a sleep-wake control system. By combining multi-dimensional information such as real-time line load, magnetic core power extraction capability, battery power, environmental risks, and historical fault data, the system dynamically calculates and adjusts the wake-up threshold and sleep depth, breaking the limitations of fixed threshold or single-condition control. Under low load or insufficient charging conditions, it can quickly enter the corresponding sleep mode, reducing power consumption to an extremely low level. When the power is sufficient or the environmental risk is high, it can reasonably allocate power consumption to maintain necessary monitoring. When the power is low and fully charged, it can still quickly restore power through deep sleep, avoiding system shutdown and data loss due to undervoltage. This significantly improves the continuous working capability and reliability under complex operating conditions.

[0019] This invention creatively proposes a multi-level linkage hibernation strategy system, designing multiple hibernation modes such as "shallow hibernation," "deep hibernation," and "hibernation," and matching them with differentiated sensor scheduling strategies. This enables the device to make optimal responses according to specific situations. At the same time, when a high-risk environment is identified, the monitoring frequency of key sensors can be actively increased, thereby ensuring the capture of key data during periods of high risk without significantly increasing average power consumption, thus improving the targeting and effectiveness of monitoring.

[0020] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0021] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0022] Figure 1 This is a flowchart of the sleep-wake control method for the adaptive power transmission monitoring device provided in this embodiment of the invention. Detailed Implementation

[0023] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0024] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0025] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0026] Example 1 like Figure 1 As shown, this embodiment provides a sleep-wake control method for an adaptive power transmission monitoring device, including the following steps: Step 1: Obtain historical current data of the transmission line and determine the current threshold of the foundation conductor based on the historical current data; In this embodiment, after the power transmission induction power extraction visualization device is powered on, it automatically collects the current data of the power transmission line for a set time period, such as the current data of the past 30 days. Then, it preprocesses the acquired historical current data and uses a filtering algorithm to remove abnormal data such as lightning strikes and short circuits. The determined base conductor current thresholds include the peak current threshold. Average current threshold and valley current threshold Specifically, the division is based on determining the peak current threshold according to the current in the peak period from 10:00 to 18:00. The average current threshold is determined based on the average current from 8:00 to 22:00. The valley current threshold is determined based on the minimum current value between 0:00 and 6:00. ; In this embodiment, the peak current threshold is used. 300A, average current threshold 120A, valley current threshold It is 60A; Step 2: Establish the mapping relationship between different conductor current thresholds and magnetic core charging current, and set the charging current threshold under each mapping relationship; In this embodiment, the mapping relationship between different conductor current thresholds and magnetic core charging current is established by conducting magnetic core power extraction efficiency calibration tests, for example: When the conductor current is 300A, the core charging current is 0.6A. At this point, a high charging current threshold is set. =0.5A; When the conductor current is 120A, the core charging current is 0.3A. At this time, the charging current threshold is set. =0.2A; When the conductor current is 50A, the core charging current is 0.15A. At this point, a low charging current threshold is set. =0.2A; Step 3: Determine the current operating condition of the device based on the real-time collected device operation data, introduce an adjustment factor to dynamically correct the basic conductor current threshold under different operating conditions, and obtain the dynamic conductor current threshold. Specifically, the steps include the following: Step 301: Determine the current operating condition of the device based on the real-time collected device operation data; In this embodiment, real-time data acquisition includes at least the conductor current. Core charging current Battery SOC and environmental parameters, fault history; Specific operating conditions include normal operating conditions, low battery operating conditions, high-risk operating conditions, and low load low charging operating conditions; For example, the current operating condition of the device can be determined by combining the collected data and the set judgment criteria. For example, if SOC=60%, 25℃, 60%RH, no fault history, 9:00, the current operating condition of the device is normal. If SOC=15%, 14:00, during the industrial peak period, the current operating condition of the device is positive low power condition. If it is raining heavily, with 90% humidity, wind speed of 16m / s, SOC=70%, 20:00, the current operating condition of the device is high-risk condition. If it is 3:00 AM, during the off-peak period, the current operating condition of the device is low load and low charging condition.

[0027] Step 302: Introduce an adjustment factor to dynamically correct the current threshold of the foundation conductor under different operating conditions, and obtain the dynamic conductor current threshold. In this embodiment, the introduced adjustment factor includes the battery capacity factor. Environmental risk factors Fault history factors ; Based on battery capacity factor (The threshold is increased by 50% when SOC < 20%, and decreased by 20% when SOC > 80%), Environmental Risk Factors (Threshold decreases by 30% when humidity > 85% and wind speed > 15m / s), Fault history factors (The threshold for the faulty section will be reduced by 40% within 3 months), using the formula. Real-time threshold correction; , , The preset weighting coefficients are 0.5, 0.3, and 0.4 respectively. The dynamic correction of the current threshold of the foundation conductor under different operating conditions specifically includes: Under normal operating conditions, the adjustment factor is: =0 (SOC=60%, 20%≤SOC≤80%), =0 (humidity < 85% and wind speed < 15m / s) =0 (no fault record); At this point, the formula for calculating the dynamic conductor current threshold is: , in, For dynamic conductor current threshold; Under low power conditions, the adjustment factor is: (SOC<20%) , The formula for calculating the dynamic conductor current threshold is: ; Under high-risk operating conditions, the adjustment factor is: , (Humidity > 85% and wind speed > 15m / s) The formula for calculating the dynamic conductor current threshold is: , Low load and low charging conditions: ; When SOC < 20%, the threshold increases by 50%; when SOC > 80%, it decreases by 20%. When humidity > 85% and wind speed > 15m / s, the threshold is reduced by 30%; within 3 months, the threshold for faulty sections is reduced by 40%. The formula for calculating the dynamic conductor current threshold is: , in, For dynamic conductor current threshold, Based on the basic conductor current threshold, in this embodiment... use α, β, and γ are preset weighting coefficients. In this embodiment, α is 0.5, β is 0.3, and γ is 0.4. Step 4: Based on the comparison results of the collected conductor current and dynamic conductor current threshold, and the comparison results of the magnetic core charging current and charging current threshold, determine whether the wake-up condition is met. If the wake-up condition is met, match the corresponding first sleep mode based on the current operating data, and adjust the sensor's operating frequency based on the sleep mode and the device's operating conditions. If the wake-up condition is not met, further determine whether the low energy condition is met. If it is met, trigger the second sleep mode and execute the corresponding energy-saving scheduling. This invention breaks through the binary sleep mode and designs a four-level system of "normal operation - shallow sleep - deep sleep - hibernation mode". The depth is quantified by "power consumption ratio (relative to normal operation)" to achieve fine power consumption management. Table 1 shows the four-level sleep mode and power consumption classification control strategy. Table 1: Four-level sleep mode and power consumption hierarchical control strategy

[0028] Specifically, the steps include the following: Step 401. Based on the collected conductor current The comparison results with the dynamic conductor current threshold, and the core charging current. The result is compared with the charging current threshold to determine whether the wake-up condition is met. The wake-up condition in this embodiment is: and Forced wake-up; For example, under normal operating conditions, =280A≥120A and =0.4A≥0.2A→Wake-up condition is met; Under low battery conditions =320A<450A→Wake-up condition not met; Under high-risk working conditions =180A≥84A and =0.4A≥0.2A → Wake-up condition is met; Under low load and low charging conditions =55A<60A→Wake-up condition not met; Step 402. If the wake-up condition is met, match the corresponding first sleep mode based on the current running data, and adjust the sensor's operating frequency based on the sleep mode and the device's operating conditions; Specifically, the first hibernation mode includes normal working mode, shallow hibernation mode and deep hibernation mode; For example, under normal operating conditions, During off-peak hours, The value is median, SOC is sufficient → triggering shallow sleep mode; Although under low power conditions, Sufficient power, but low battery requires energy saving → triggers deep sleep mode; Under high-risk operating conditions and in high-risk environments, enhanced monitoring is required → shallow hibernation upgrade mode; Furthermore, the sensor's operating frequency is adjusted based on the first sleep mode and the device's operating conditions, including: For example, under normal operating conditions, when the shallow sleep mode is triggered, the sensor scheduling includes: camera: front / back view once / 5min, downward view once / 2min, IMU: 10Hz (conventional vibration monitoring), temperature and humidity: once / 30s; In low power conditions, a deep sleep mode is triggered, and sensor scheduling includes: camera: fully off (to avoid high power consumption), IMU: 0.1Hz (once every 10 minutes, only basic monitoring is retained), temperature and humidity: once every 5 minutes; In high-risk operating conditions, the shallow sleep upgrade mode includes sensor scheduling: camera: forward / backward view once per 1 minute, downward view once per 30 seconds (high frequency to capture potential hazards); IMU: 50Hz (to improve vibration monitoring accuracy); temperature and humidity: once per 5 seconds (real-time tracking of environmental changes). Step 403. If the wake-up condition is not met, further determine whether the low-energy condition is met. If it is met, trigger the second hibernation mode and execute the corresponding energy-saving scheduling. For example, under low battery conditions, =320A < 450A → Wake-up condition not met; further determine if low-energy condition is met. =0.6A≥0.2A→No hibernation is triggered; Under low load and low charging conditions =55A<60A→Wake-up condition not met, further judgment required. =0.15A< =0.2A → Triggers hibernation mode; Only the RTC clock and core current detection module are retained, while the camera, IMU, and temperature and humidity sensors are all turned off; Step 5: Closed-loop optimization and threshold update; The baseline current threshold shall be recalculated and updated periodically; and / or, The adjustment factor is adjusted over a long period based on historical fault data or the duration of a specific operating condition.

[0029] The periodic recalculation and updating of the basic current threshold includes: The device records sleep mode switching records, sensor data validity (such as the proportion of invalid images and the number of times potential hazards are detected) and energy consumption data in real time, and stores them in the local cache; Set a daily time point, such as 2:00 AM (a period of low line load with minimal impact), to automatically initiate historical current model updates. Remove outlier data for the day and recalculate the past 30 days. , , Basic current threshold Adjust the fault history factors based on the fault data reported from the backend. (For example, if icing occurs twice in a certain section within 3 months, (Set to 1 for long-term use). The adjustment factor is adjusted over a long period based on historical fault data or the duration of specific operating conditions. For example, if a section experiences 10 consecutive days of heavy rain and the proportion of high-risk operating conditions exceeds 40%, then the section will be... The rate will be reduced by 10% over the long term to improve monitoring sensitivity.

[0030] The test results of the device on the 110kV hybrid transmission line after the above step-by-step implementation are shown in Table 2: Table 2: Test Results on 110kV Hybrid Transmission Lines

[0031] The test data above demonstrates that this application achieves four core beneficial effects through dynamic threshold modeling, multi-level sleep mode, sensor linkage, and closed-loop control, comprehensively addressing the shortcomings of existing technologies: 1. Significantly reduced power consumption, resulting in a 40%-60% increase in battery life: Through precise control of "low load, low charge → hibernation mode" and "high load, high charge → shallow hibernation", invalid wake-up and full module startup are avoided. For example, in the embodiment, the power consumption during low load periods (early morning) is reduced from 3.6W (shallow hibernation) in the existing technology to 0.24W (hibernation), reducing the average daily power consumption by 60% and extending the battery life from 3 days to 5-7 days. At the same time, the closed-loop optimization of magnetic core power extraction and hibernation increases the energy utilization rate from 50% to over 85%, reducing the frequency of battery replacement.

[0032] 2. Monitoring coverage increased to over 95%, and the false alarm rate decreased by 80%. Dynamic thresholds adapt to the "peak-flat-valley" fluctuations of the line, and the thresholds are forcibly lowered in high-risk operating conditions (heavy rain, galloping) to ensure that no hidden dangers are missed. For example, in the embodiment, the precursor to icing (vibration of 0.15g) is captured by high-frequency sampling of the IMU, and the false alarm rate is reduced from 30% in the existing technology to below 5%. At the same time, the sensor frequency is linked with the sleep depth, and the proportion of effective data is increased from 40% to 90%, reducing the cost of invalid data transmission and storage.

[0033] 3. High versatility, adaptable to various types of transmission lines: By using historical current modeling and dynamic factor adjustment, it can be adapted to residential lines (small current fluctuations), industrial lines (large current peak-to-valley differences), and cross-regional lines (complex environments)—for example, industrial lines can… Set to 500A, and residential lines to 200A. No hardware modifications are required; universality can be achieved simply through software parameter configuration, reducing product development and maintenance costs.

[0034] 4. High reliability and strong anti-interference ability: The dual-parameter (conductor current + charging current) criterion avoids false triggering by a single threshold. For example, existing technologies have a false wake-up rate of over 15% due to battery voltage fluctuations (±5%). This application reduces the false wake-up rate to below 3% through current modeling and multi-factor correction. At the same time, the hibernation mode retains only the core detection circuit, which can still control autonomously when communication is interrupted (in remote areas), and the device's mean time between failures (MTBF) is extended from 1 year to more than 1.5 years.

[0035] 5. Significant economic and social benefits: From an economic perspective, the extended range reduces the number of manual inspections (from 12 inspections per line per year to 6), reducing maintenance costs by 50%. From a social perspective, real-time early warning of potential hazards can prevent accidents such as broken conductor strands and ice-induced tripping, reducing power outage time (from 2 hours per line per year to 0.5 hours), and ensuring the stability of power supply.

[0036] Example 2 This embodiment provides an adaptive power transmission monitoring device sleep-wake control system, including: The basic threshold determination module is used to acquire historical current data of transmission lines and determine the basic conductor current threshold based on the historical current data. The threshold dynamic correction module is used to establish the mapping relationship between different conductor current thresholds and magnetic core charging current, and to set the charging current threshold under each mapping relationship. Based on the real-time collected operating data, the current operating condition of the device is determined, and an adjustment factor is introduced to dynamically correct the basic conductor current threshold under different operating conditions, so as to obtain the dynamic conductor current threshold. The power consumption control module is used to determine whether the wake-up condition is met based on the comparison results of the collected conductor current and the dynamic conductor current threshold, as well as the comparison results of the magnetic core charging current and the charging current threshold. If the wake-up condition is met, the corresponding first sleep mode is matched based on the current operating data, and the operating frequency of the sensor is adjusted based on the first sleep mode and the operating conditions of the device. If the wake-up condition is not met, the module further determines whether the low energy condition is met. If it is met, the second sleep mode is triggered and the corresponding energy-saving scheduling is executed.

[0037] It should be noted that the specific implementation of the adaptive power transmission monitoring device sleep-wake control system in this embodiment of the invention is similar to the specific implementation of the adaptive power transmission monitoring device sleep-wake control method in this embodiment of the invention. Please refer to the description in the method section for details. To reduce redundancy, it will not be repeated here.

[0038] Example 3 This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the adaptive power transmission monitoring device sleep-wake control method described above.

[0039] Example 4 This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the adaptive power transmission monitoring device sleep-wake control method described above.

[0040] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0041] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1A device that provides the functions specified in one or more boxes.

[0042] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0043] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0044] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0045] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A sleep-wake control method for an adaptive power transmission monitoring device, characterized in that, include: Obtain historical current data of transmission lines and determine the current threshold of the foundation conductors based on the historical current data; Establish a mapping relationship between different conductor current thresholds and magnetic core charging current, and set the charging current threshold under each mapping relationship; Based on the real-time collected operating data, the current operating condition of the device is determined, and an adjustment factor is introduced to dynamically correct the basic conductor current threshold under different operating conditions, so as to obtain the dynamic conductor current threshold. Based on the comparison results of the collected conductor current and dynamic conductor current threshold, as well as the comparison results of the magnetic core charging current and charging current threshold, it is determined whether the wake-up condition is met. If the wake-up condition is met, the corresponding first sleep mode is matched based on the current operating data, and the operating frequency of the sensor is adjusted based on the first sleep mode and the operating condition of the device. If the wake-up condition is not met, it is further determined whether the low energy condition is met. If it is met, the second sleep mode is triggered and the corresponding energy-saving scheduling is executed.

2. The adaptive power transmission monitoring device sleep / wake-up control method as described in claim 1, characterized in that, The base conductor current threshold includes the peak current threshold. Average current threshold and valley current threshold The division is based on: determining the peak current threshold based on the current in the peak interval of the first time period. The average current threshold is determined based on the average current over the second time period. The valley current threshold is determined based on the minimum current value in the third time period. .

3. The sleep-wake control method for an adaptive power transmission monitoring device as described in claim 1, characterized in that, The formula for calculating the dynamic conductor current threshold is: , in, For dynamic conductor current threshold, For selection , , The basic current threshold, , , These are battery capacity factor, environmental risk factor, and fault history factor. , , These are the preset weighting coefficients.

4. The sleep-wake control method for an adaptive power transmission monitoring device as described in claim 1, characterized in that, The current operating conditions of the device include normal operation, low battery operation, high-risk operation, and low load / low charging operation, determined based on real-time collected operating data, which includes at least the conductor current. Core charging current Battery SOC, environmental parameters, and fault history.

5. The sleep-wake control method for an adaptive power transmission monitoring device as described in claim 1, characterized in that, The wake-up condition is and Forced wake-up, among which, For dynamic conductor current threshold, For the collected conductor current, For charging current of the magnetic core, This is the low charging current threshold.

6. The sleep-wake control method for an adaptive power transmission monitoring device as described in claim 1, characterized in that, The first hibernation mode includes a shallow hibernation mode and a deep hibernation mode; When the SOC is within a preset normal range and the environmental risk is below a threshold, the shallow hibernation mode is matched; When the SOC is lower than the preset low power threshold, the deep sleep mode is activated; The second sleep mode is a hibernation mode, triggered when the core charging current Icharge is lower than a preset low charging current threshold Ilow.

7. The sleep-wake control method for an adaptive power transmission monitoring device as described in claim 1, characterized in that, Adjusting the sensor's operating frequency based on the first sleep mode and the device's operating conditions includes: Under normal operating conditions, a shallow sleep mode is triggered, and the camera is periodically started to capture images at the first frequency, and the inertial measurement unit and temperature and humidity sampling are run at the first sampling rate. In low power conditions, the deep sleep mode is triggered, the camera is turned off, and the inertial measurement unit and temperature and humidity sampling are periodically run at a second sampling rate lower than that of the shallow sleep mode. In high-risk operating conditions, the shallow sleep upgrade mode periodically starts the camera to take pictures at a third frequency higher than the shallow sleep mode, and runs the inertial measurement unit and temperature and humidity sampling at a third sampling rate.

8. An adaptive power transmission monitoring device sleep-wake control system, characterized in that, include: The basic threshold determination module is used to acquire historical current data of transmission lines and determine the basic conductor current threshold based on the historical current data. The threshold dynamic correction module is used to establish the mapping relationship between different conductor current thresholds and magnetic core charging current, and to set the charging current threshold under each mapping relationship. Based on the real-time collected operating data, the current operating condition of the device is determined, and an adjustment factor is introduced to dynamically correct the basic conductor current threshold under different operating conditions, so as to obtain the dynamic conductor current threshold. The power consumption control module is used to determine whether the wake-up condition is met based on the comparison results of the collected conductor current and the dynamic conductor current threshold, as well as the comparison results of the magnetic core charging current and the charging current threshold. If the wake-up condition is met, the corresponding first sleep mode is matched based on the current operating data, and the operating frequency of the sensor is adjusted based on the first sleep mode and the operating conditions of the device. If the wake-up condition is not met, the module further determines whether the low energy condition is met. If it is met, the second sleep mode is triggered and the corresponding energy-saving scheduling is executed.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in the adaptive power transmission monitoring device sleep-wake control method as described in any one of claims 1-7.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the adaptive power transmission monitoring device sleep-wake control method as described in any one of claims 1-7.

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