Drop-out fuse state monitoring system, method, device, medium and equipment

Abstract

The invention discloses a drop-out fuse state monitoring system, method and device, a medium and equipment. The system comprises a gravitational acceleration sensor, a processing unit and a communication terminal. The at least two gravitational acceleration sensors are configured to collect the acceleration variable quantity and the gravity component of the drop-out fuse, and the acceleration variable quantity and the gravity component are sequentially collected; when any acceleration variation exceeds a preset threshold value, generating an interrupt request; the processing unit is configured to receive the interrupt request, obtain gravity components of all the gravity acceleration sensors and perform consistency verification; if the gravity components of all the gravity acceleration sensors are consistent, the on-off state information of the drop-out fuse is sent to a communication terminal; and if the gravity components of all the gravity acceleration sensors are inconsistent, restarting all the gravity acceleration sensors. According to the embodiment of the invention, the action of the fuse can be captured in time, and resource waste and misjudgment can be avoided.

Description

Technical Field

[0001] The present application relates to a drop-out fuse status monitoring system, method, device, medium and equipment, belonging to the field of smart grid. Background Art

[0002] In the power system, high-voltage drop-out fuses are an important protective device that automatically disconnects when the circuit is overloaded or short-circuited to prevent equipment damage and accidents. In order to monitor the opening and closing status of the fuse in real time, a status acquisition module is usually installed on the fuse to detect the operating status of the fuse through a wireless posture recognition sensor.

[0003] Due to environmental interference (such as wind vibration, mechanical vibration, etc.), the existing system is prone to misjudge non-fuse actions as opening and closing operations, resulting in a high false alarm rate. This false alarm not only reduces the accuracy of the monitoring system, but may also cause unnecessary maintenance operations or misjudgment of faults, thereby affecting the stable operation of the power system. Summary of the invention

[0004] In view of this, the present application provides a drop-out fuse status monitoring system, method, device, medium and equipment. The embodiments of the present application can not only capture the fuse action in time, but also avoid resource waste and misjudgment.

[0005] In a first aspect, an embodiment of the present application discloses a drop-type fuse state monitoring system, the system comprising a gravity acceleration sensor, a processing unit and a communication terminal; At least two of the gravity acceleration sensors are configured to collect the acceleration change and gravity component of the drop-out fuse, and the acceleration change and the gravity component are collected in sequence; when any of the acceleration change exceeds a preset threshold, an interrupt request is generated; The processing unit is configured to receive the interrupt request, obtain the gravity components of all the gravity acceleration sensors and perform consistency verification; if the gravity components of all the gravity acceleration sensors are consistent, the opening and closing state information of the drop-out fuse is sent to the communication terminal; if the gravity components of all the gravity acceleration sensors are inconsistent, all the gravity acceleration sensors are restarted.

[0006] Further, the obtaining of gravity components of all gravity acceleration sensors and performing consistency verification includes: Based on the gravity acceleration sensors described in pairs, calculating the difference of the three-dimensional gravity components of the corresponding sampling points; comparing the three-dimensional gravity component difference with a set range; If the three-dimensional gravity component difference falls within the set range, outputting a characteristic value; If the number of the eigenvalues ​​meets the set threshold, the consistency check passes.

[0007] Furthermore, before calculating the three-dimensional gravity component difference of the corresponding sampling points based on the two gravity acceleration sensors, the method further includes: receiving feedback signals from all the gravity acceleration sensors via diagnostic signals; Determining whether all the gravity acceleration sensors belong to the same drop-out fuse based on the feedback signal; If so, the three-dimensional gravity components of the multiple sampling points of each gravity acceleration sensor within the window are obtained.

[0008] Furthermore, it also includes: The processing unit is configured to perform sampling using a current preset sampling frequency according to a first time period of the empirical action time of the drop-out fuse; The processing unit is configured to adjust the current preset sampling frequency for sampling using an exponential increase algorithm according to a second time period of the experience action time of the drop-out fuse, wherein the first time period is adjacent to the second time period and the first time period is in front.

[0009] Furthermore, the exponential increase algorithm is used to adjust the current preset sampling frequency, as shown in the following formula: in, Indicates the update sampling frequency, Indicates the current preset sampling frequency. represents the growth coefficient, Further, the invention also includes a visual flying robot, when all gravity acceleration sensors still fail the consistency check after restarting, the visual flying robot is configured as follows: Determine the current position of the visual flying robot based on GPS and inertial measurement unit data; Plan the flight path according to the preset positions of the corresponding fuses; Adjust the flight attitude in real time through the visual sensor to ensure that the corresponding fuse is located at the center of the camera's field of view; The image acquisition and closed state recognition process is started, wherein the closed state recognition process is performed based on the trained neural network model.

[0010] The second aspect of the embodiment of the present application discloses a method for monitoring the state of a drop-out fuse, which is applied to a microprocessing unit, wherein the microprocessing unit is connected to at least two gravity acceleration sensors, and the at least two gravity acceleration sensors are configured to collect the acceleration change and gravity component of the drop-out fuse, and the acceleration change and the gravity component are collected in sequence; when any of the acceleration changes exceeds a preset threshold, an interrupt request is generated; The method comprises: receiving the interrupt request; Obtaining gravity components of all the gravity acceleration sensors and performing consistency verification; If the gravity components of all the gravity acceleration sensors are consistent, the opening and closing state information of the drop-out fuse is sent to the communication terminal; If the gravity components of all the gravity acceleration sensors are inconsistent, all the gravity acceleration sensors are restarted.

[0011] The third aspect of the embodiment of the present application discloses a drop-out fuse state monitoring device, which is applied to a microprocessing unit, wherein the microprocessing unit is connected to at least two gravity acceleration sensors, and the at least two gravity acceleration sensors are configured to collect acceleration change and gravity component of the drop-out fuse, wherein the acceleration change and the gravity component are collected in sequence; when any of the acceleration change exceeds a preset threshold, an interrupt request is generated; The device comprises: A receiving module, used for receiving the interrupt request; An acquisition module, used for acquiring the gravity components of all the gravity acceleration sensors and performing consistency verification; A first judgment module, configured to send the opening and closing state information of the drop-out fuse to a communication terminal if the gravity components of all the gravity acceleration sensors are consistent; The second judgment module is used to restart all the gravity acceleration sensors if the gravity components of all the gravity acceleration sensors are inconsistent.

[0012] A fourth aspect of an embodiment of the present application discloses a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the processor of the device where the program is located controls the execution of the drop-type fuse status monitoring method of the above embodiment.

[0013] The fifth aspect of the embodiments of the present application discloses an electronic device, which includes: one or more processors; a storage device for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors execute the drop-type fuse status monitoring method of the above-mentioned embodiment.

[0014] Compared with the prior art, the embodiments of the present application have the following beneficial effects: The embodiments of the present application provide a drop-out fuse state monitoring system, method, device, medium and equipment. The high-voltage drop-out fuse state monitoring system includes a gravity acceleration sensor, a processing unit and a communication terminal; at least two of the gravity acceleration sensors are configured to collect the acceleration change and gravity component of the drop-out fuse, and the acceleration change and the gravity component are collected in sequence; when any of the acceleration changes exceeds a preset threshold, an interrupt request is generated; the processing unit is configured to receive the interrupt request, obtain the gravity components of all the gravity acceleration sensors and perform consistency verification; if the gravity components of all the gravity acceleration sensors are consistent, the disconnection and connection state information of the drop-out fuse is sent to the communication terminal; if the gravity components of all the gravity acceleration sensors are inconsistent, all the gravity acceleration sensors are restarted.

[0015] In this embodiment, at least two gravity acceleration sensors are used to collect acceleration changes and gravity components respectively, and the two data are combined for judgment. When the acceleration change exceeds the preset threshold, the system generates an interrupt request, triggering the processing unit to perform consistency check on the gravity components of all sensors. If the gravity components are consistent, the fuse action is confirmed to be effective, and the separation and closing status information is sent to the communication terminal; if the gravity components are inconsistent, the data is determined to be abnormal, and all sensors are automatically restarted. This design solves the problem of false alarms caused by a single sensor being susceptible to environmental interference by collaboratively verifying the two data, the acceleration change and the gravity component, while ensuring the accuracy of motion detection. The interrupt trigger mechanism improves the real-time performance of the system, and the automatic restart mechanism enhances the fault tolerance of the system. Therefore, the system significantly reduces the false alarm rate and missed alarm rate, prolongs the service life, and is suitable for complex power environments.

[0016] It is worth noting that if the system only relies on the gravity component to judge the state, it needs to continuously collect data at a high frequency, which will take up a lot of computing and communication resources. Through the acceleration threshold, the system can be in a low-power state at ordinary times, and only when abnormal acceleration changes are detected, the processing unit is activated to perform gravity component verification, which greatly reduces resource waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0018] Figure 1 A schematic diagram of the structure of a drop-out fuse status monitoring system provided in an embodiment of the present application.

[0019] Figure 2 A schematic diagram of the structure of a drop-out fuse status monitoring system provided in an embodiment of the present application.

[0020] Figure 3 A schematic flow chart of a method for monitoring the state of a drop-out fuse provided in an embodiment of the present application.

[0021] Figure 4 A schematic structural diagram of a drop-out fuse status monitoring device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] Embodiment 1: Figure 1 A schematic diagram of a drop-out fuse status monitoring system provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the system may include a gravity acceleration sensor 100 , a drop-out fuse 200 , a processing unit 300 , and a communication terminal 400 .

[0025] At least two of the gravity acceleration sensors are configured to collect the acceleration change and gravity component of the drop-out fuse, and the acceleration change and gravity component are collected in sequence; when any of the acceleration changes exceeds a preset threshold, an interrupt request is generated.

[0026] The processing unit is configured to receive the interrupt request, obtain the gravity components of all the gravity acceleration sensors and perform consistency verification; if the gravity components of all the gravity acceleration sensors are consistent, the opening and closing state information of the drop-out fuse is sent to the communication terminal; if the gravity components of all the gravity acceleration sensors are inconsistent, all the gravity acceleration sensors are restarted.

[0027] The above-mentioned drop-out fuse includes a hanging part 201 and a separation part 202, at least two gravity acceleration sensors are arranged on the separation part, and at least two gravity acceleration sensors can be arranged adjacent to each other. The hanging part is the part where the drop-out fuse is connected to the power line, and is mainly used to fix the fuse and ensure its reliable connection with the circuit. The separation part is the core part of the drop-out fuse, which is responsible for realizing the opening operation and disconnecting the circuit when the circuit is overloaded or short-circuited; after the fault is eliminated, the circuit can be closed manually or automatically to restore the circuit connection.

[0028] The above-mentioned acceleration change refers to the change of acceleration detected by the sensor over time, which is usually used to detect the motion state of an object (such as starting, stopping, accelerating, decelerating, etc.).

[0029] The gravity component mentioned above refers to the component of gravity acceleration detected by the sensor in a certain direction, which is usually used to determine the posture of an object (such as tilt angle, vertical direction, etc.).

[0030] The above-mentioned communication terminals include at least one of the following: local monitoring terminals (such as industrial computers, touch screen human-machine interfaces, and embedded terminals), remote monitoring terminals (such as monitoring center servers, cloud platforms, and mobile terminals), and dedicated communication equipment (such as data acquisition terminals and intelligent gateways). These terminals receive the fuse disconnection and closing status information in real time through wired communication (such as Ethernet, optical fiber, RS-485) or wireless communication (such as 4G / 5G, LoRa, Wi-Fi), support local display, remote monitoring, data storage, and intelligent analysis, and are suitable for a variety of application scenarios in substations, distribution rooms, power companies, and operation and maintenance personnel, ensuring the stable operation and efficient management of the power system.

[0031] It should be noted that during the opening and closing process of the fuse, the opening and closing part will experience an acceleration phase, that is, it will move rapidly from a stationary state to an open or closed position. The acceleration change during this phase increases significantly, which is a key signal for detecting the action of the fuse. In practical applications, the acceleration change of the opening and closing of the fuse is usually in the range of 5 m / s² to 20 m / s². The specific value needs to be determined according to the model and design parameters of the fuse, and the preset threshold is the same.

[0032] In one embodiment, the sensor is connected to a processing unit (such as a microcontroller MCU) via an interrupt pin (such as a GPIO). When the acceleration change of the sensor exceeds a preset threshold, the interrupt pin changes from a high level to a low level (or vice versa), triggering a hardware interrupt.

[0033] Optionally, the sensor is a MEMS accelerometer.

[0034] For example, in the open and closed states, the gravity component data collected by the sensor is shown in Table 1:

[0035] For example, in the open and closed states, the gravity component data collected by the sensor is shown in Table 1:

[0036] It can be understood that if the Z-axis gravity component is close to 1g, and the X-axis and Y-axis gravity components are close to 0g, it is determined to be in the closed state. If the Z-axis gravity component is significantly reduced (such as ≤0.6g), and the X-axis or Y-axis gravity component is significantly increased (such as ≥0.5g), it is determined to be in the open state. The specific data setting depends on the type of drop-out fuse.

[0037] In this embodiment, at least two gravity acceleration sensors are used to collect acceleration changes and gravity components respectively, and the two data are combined for judgment. When the acceleration change exceeds the preset threshold, the system generates an interrupt request, triggering the processing unit to perform consistency check on the gravity components of all sensors. If the gravity components are consistent, the fuse action is confirmed to be effective, and the separation and closing status information is sent to the communication terminal; if the gravity components are inconsistent, the data is determined to be abnormal, and all sensors are automatically restarted. This design solves the problem of false alarms caused by a single sensor being susceptible to environmental interference by collaboratively verifying the two data, the acceleration change and the gravity component, while ensuring the accuracy of motion detection. The interrupt trigger mechanism improves the real-time performance of the system, and the automatic restart mechanism enhances the fault tolerance of the system. Therefore, the system significantly reduces the false alarm rate and missed alarm rate, prolongs the service life, and is suitable for complex power environments.

[0038] It is worth noting that if the system only relies on the gravity component to judge the state, it needs to continuously collect data at a high frequency, which will take up a lot of computing and communication resources. Through the acceleration threshold, the system can be in a low-power state at ordinary times, and only when abnormal acceleration changes are detected, the processing unit is activated to perform gravity component verification, which greatly reduces resource waste.

[0039] In some embodiments, Figure 2 As shown, the drop-out fuse state monitoring system further includes a visual flying robot 500. When all gravity acceleration sensors still fail the consistency check after restart, the visual flying robot is configured as follows: S11. Determine the current position of the visual flying robot based on GPS and inertial measurement unit data.

[0040] In this step, the GPS module and inertial measurement unit (IMU) carried by the visual flying robot are used to collect geographic coordinates, acceleration, and angular velocity data. The Kalman filter algorithm is used for data fusion. After error correction, the current three-dimensional position and attitude information is calculated and output, providing an accurate basis for subsequent path planning and attitude adjustment.

[0041] S12. Plan a flight path according to the preset positions of corresponding fuses.

[0042] In this step, the geographic coordinates of the target fuse are read from the preset database. Based on the current position and the target position, the Dijkstra algorithm is used to generate the optimal flight path, and the Bezier curve is used for smooth optimization to ensure that the path is continuous and avoids obstacles. Finally, the optimized path is sent to the flight control unit for execution.

[0043] S13. Adjust the flight attitude in real time through the visual sensor to ensure that the corresponding fuse is located in the center of the camera's field of view.

[0044] In this step, the fuse image is collected in real time by the camera, the fuse position is detected by using the YOLO or SSD algorithm, its deviation from the center of the field of view is calculated, and the pitch angle, roll angle, and yaw angle of the aircraft are adjusted by the PID control algorithm to make the fuse stably located in the center of the field of view to ensure the accuracy of image acquisition.

[0045] S14. Start the image acquisition and closed state recognition process, wherein the closed state recognition process is performed based on the trained neural network model.

[0046] In this step, after the fuse is located in the center of the field of view, the high-resolution camera is started to capture a clear image, and the image is pre-processed by denoising, enhancing and cropping. The trained convolutional neural network (CNN) model is input to identify the closed state of the fuse, and the identification result is sent to the ground control station or cloud platform.

[0047] In some embodiments, the obtaining of gravity components of all the gravity acceleration sensors and performing consistency verification includes: S21. Based on the gravity acceleration sensors described in pairs, calculate the three-dimensional gravity component differences of corresponding sampling points.

[0048] In this step, the three-dimensional gravity component data (Gx, Gy, Gz) are collected, the difference (ΔGx, ΔGy, ΔGz) is calculated axis by axis, and the results are stored in the buffer area.

[0049] Exemplarily, based on each sampling point, the first gravity acceleration sensor performs data subtraction with the second gravity acceleration sensor, the second gravity acceleration sensor performs data subtraction with the third gravity acceleration sensor, and the third gravity acceleration sensor performs data subtraction with the first gravity acceleration sensor.

[0050] S22. Compare the three-dimensional gravity component difference with a set range.

[0051] In this step, the allowable range of the three-dimensional gravity component difference is read from the preset parameter library, the calculated difference is compared with the set range, it is determined whether the difference meets the conditions, and the result is marked as "valid" or "invalid".

[0052] S23. If the three-dimensional gravity component difference falls within the set range, output the characteristic value.

[0053] In this step, for the difference value marked as "valid", a feature value is generated, which can be the difference value itself or a normalized value.

[0054] S24. If the number of the eigenvalues ​​meets the set threshold, the consistency check is passed.

[0055] In this step, the number of "valid" eigenvalues ​​in the eigenvalue queue is counted. If the set threshold is met, it is considered that the data consistency check of multiple sensors has passed.

[0056] In some embodiments, before calculating the three-dimensional gravity component difference of corresponding sampling points based on the two gravity acceleration sensors, the method further includes: S31. Receive feedback signals from all the gravity acceleration sensors via diagnostic signals.

[0057] In this step, the diagnostic module sends query instructions to all gravity acceleration sensors, receives and analyzes feedback signals, and extracts sensor IDs and gravity component data.

[0058] S32. Determine whether all the gravity acceleration sensors belong to the same drop-out fuse based on the feedback signal.

[0059] In this step, the sensor ID in the feedback signal is matched with the preset database to determine whether all sensors belong to the same drop-out fuse.

[0060] S33. If yes, obtain the three-dimensional gravity components of each of the gravity acceleration sensors at multiple sampling points within the window.

[0061] In this step, if the sensors belong to the same fuse, the three-dimensional gravity component data of each sensor is continuously collected within the set sampling window, and is stored in the database after filtering and denoising preprocessing.

[0062] In some embodiments, the processing unit is configured to perform sampling using a current preset sampling frequency according to a first time period of the experienced action time of the drop-type fuse; the processing unit is configured to adjust the current preset sampling frequency for sampling using an exponential increase algorithm according to a second time period of the experienced action time of the drop-type fuse, and the first time period and the second time period are adjacent and the first time period is in front.

[0063] In this embodiment, the action time from the interruption node to the closing node or the full opening node is determined by testing, and the first time period and the second time period are respectively set before and after the time point when the action is completed. Among them, the full opening node refers to the angle of the splitting part relative to the hanging part reaching the maximum value. In other embodiments, the full opening node can be replaced by a set opening node, which means that the angle of the splitting part relative to the hanging part is a preset value, and the time point changes adaptively.

[0064] The action time is greater than the sum of the first time period and the second time period.

[0065] The first time period is greater than or equal to the second time period.

[0066] In some embodiments, the exponential increase algorithm is used to adjust the current preset sampling frequency, as shown in the following formula: in, Indicates the update sampling frequency, Indicates the current preset sampling frequency. represents the growth coefficient, Indicates the second time period. Figure 3 A flow chart of a method for monitoring the state of a drop-out fuse provided in an embodiment of the present application. The method is applied to a microprocessor unit, the microprocessor unit is connected to at least two gravity acceleration sensors, and the at least two gravity acceleration sensors are configured to collect the acceleration change and gravity component of the drop-out fuse, the acceleration change and the gravity component are collected in sequence; when any of the acceleration changes exceeds a preset threshold, an interrupt request is generated.

[0067] The method specifically includes: S301 receiving the interrupt request.

[0068] S302 obtains the gravity components of all the gravity acceleration sensors and performs consistency check.

[0069] S303: If the gravity components of all the gravity acceleration sensors are consistent, the opening and closing state information of the drop-out fuse is sent to the communication terminal.

[0070] S304: If the gravity components of all the gravity acceleration sensors are inconsistent, restart all the gravity acceleration sensors.

[0071] Embodiment 2: Figure 4 A structural schematic diagram of a drop-out fuse status monitoring device provided in an embodiment of the present application, wherein the device is applied to a microprocessor unit, and the microprocessor unit is connected to at least two gravity acceleration sensors, and at least two of the gravity acceleration sensors are configured to collect acceleration changes and gravity components of the drop-out fuse, and the acceleration changes and the gravity components are collected in sequence; when any of the acceleration changes exceeds a preset threshold, an interrupt request is generated.

[0072] The device specifically comprises: The receiving module 401 is used to receive the interrupt request.

[0073] The acquisition module 402 is used to acquire the gravity components of all the gravity acceleration sensors and perform consistency verification.

[0074] The first judgment module 403 is configured to send the opening and closing state information of the drop-out fuse to a communication terminal if the gravity components of all the gravity acceleration sensors are consistent.

[0075] The second judgment module 404 is configured to restart all the gravity acceleration sensors if the gravity components of all the gravity acceleration sensors are inconsistent.

[0076] Further, the obtaining of gravity components of all gravity acceleration sensors and performing consistency verification includes: Based on the gravity acceleration sensors described in pairs, calculating the difference of the three-dimensional gravity components of the corresponding sampling points; comparing the three-dimensional gravity component difference with a set range; If the three-dimensional gravity component difference falls within the set range, outputting a characteristic value; If the number of the eigenvalues ​​meets the set threshold, the consistency check passes.

[0077] Furthermore, before calculating the three-dimensional gravity component difference of the corresponding sampling points based on the two gravity acceleration sensors, the method further includes: receiving feedback signals from all the gravity acceleration sensors via diagnostic signals; Determining whether all the gravity acceleration sensors belong to the same drop-out fuse based on the feedback signal; If so, the three-dimensional gravity components of the multiple sampling points of each gravity acceleration sensor within the window are obtained.

[0078] Furthermore, it also includes: The processing unit is configured to perform sampling using a current preset sampling frequency according to a first time period of the empirical action time of the drop-out fuse; The processing unit is configured to adjust the current preset sampling frequency for sampling using an exponential increase algorithm according to a second time period of the experience action time of the drop-out fuse, wherein the first time period is adjacent to the second time period and the first time period is in front.

[0079] Furthermore, the exponential increase algorithm is used to adjust the current preset sampling frequency, as shown in the following formula: in, Indicates the update sampling frequency, Indicates the current preset sampling frequency. represents the growth coefficient, Further, the invention also includes a visual flying robot, when all gravity acceleration sensors still fail the consistency check after restarting, the visual flying robot is configured as follows: Determine the current position of the visual flying robot based on GPS and inertial measurement unit data; Plan the flight path according to the preset positions of the corresponding fuses; Adjust the flight attitude in real time through the visual sensor to ensure that the corresponding fuse is located at the center of the camera's field of view; The image acquisition and closed state recognition process is started, wherein the closed state recognition process is performed based on the trained neural network model.

[0080] Embodiment 3: An embodiment of the present application further provides an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of the present invention when running.

[0081] The above-mentioned memory may refer to a device inside a computer for storing data and programs, and may include memory, hard disk, etc., wherein the memory may be used to temporarily store running programs and data, the hard disk may be used to store programs and data for a long time, and the memory may be used to enable the computer to read and write data, and execute programs; the above-mentioned processor may be responsible for executing instructions in computer programs and performing data processing, and may be responsible for controlling and executing various operations, including arithmetic operations, logical operations, data transmission, etc.

[0082] Embodiment 4: An embodiment of the present application further provides a computer-readable storage medium, which includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0083] The above-mentioned computer storage medium may refer to a medium in a computer memory used to store certain discontinuous physical quantities. Computer storage media mainly include semiconductors, magnetic cores, magnetic drums, magnetic tapes, laser disks, etc.; the stored program included in the computer-readable storage medium may be a set of instructions that can be recognized and executed by a computer, running on an electronic computer, and is an information tool that meets certain needs of people.

[0084] Embodiment 5: An embodiment of the present application further provides a computer program product, including a computer program, which implements the methods in various embodiments of the present invention when executed by a processor.

[0085] The above-mentioned computer program product may refer to a software program that has been written, tested and released and can be run on a computer or other device. The computer program product may include an application, an operating system, tool software, etc., which is used to implement specific functions or solve specific problems.

[0086] Embodiment:6: An embodiment of the present application further provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0087] The above-mentioned non-volatile computer-readable storage medium may refer to a medium for storing data. The non-volatile computer-readable storage medium can keep the data from being lost when the power is off, and can be used to store long-term data, such as operating systems, applications, and user files. The non-volatile storage medium may include hard disk drives, solid-state drives, optical disks, and flash memory storage devices, etc.

[0088] Embodiment 7: The embodiments of the present application further provide a computer program, which implements the methods in the above-mentioned embodiments of the present invention when executed by a processor.

[0089] The above-mentioned computer program may refer to a collection of instructions used to tell a computer to perform a specific task or operation. A computer program may be written by a programmer using a specific programming language and may include algorithms, data structures, logic, and control flows. A computer program may be used for a variety of purposes, including application software, operating systems, and the like.

[0090] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0091] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0093] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0094] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0095] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A drop-out fuse status monitoring system, characterized in that: It includes a gravity acceleration sensor, a processing unit and a communication terminal; At least two of the gravity acceleration sensors are configured to collect the acceleration change and gravity component of the drop-out fuse, and the acceleration change and the gravity component are collected in sequence; when any of the acceleration change exceeds a preset threshold, an interrupt request is generated; The processing unit is configured to receive the interrupt request, obtain the gravity components of all the gravity acceleration sensors and perform consistency verification; if the gravity components of all the gravity acceleration sensors are consistent, the opening and closing state information of the drop-out fuse is sent to the communication terminal; if the gravity components of all the gravity acceleration sensors are inconsistent, all the gravity acceleration sensors are restarted.

2. The drop-out fuse status monitoring system according to claim 1, characterized in that: The obtaining of gravity components of all gravity acceleration sensors and performing consistency verification includes: Based on the gravity acceleration sensors described in pairs, calculating the difference of the three-dimensional gravity components of the corresponding sampling points; comparing the three-dimensional gravity component difference with a set range; If the three-dimensional gravity component difference falls within the set range, outputting a characteristic value; If the number of the eigenvalues ​​meets the set threshold, the consistency check passes.

3. The drop-out fuse status monitoring system according to claim 2, characterized in that: Before calculating the three-dimensional gravity component difference of the corresponding sampling points based on the two gravity acceleration sensors, the method further includes: receiving feedback signals from all the gravity acceleration sensors via diagnostic signals; Determining whether all the gravity acceleration sensors belong to the same drop-out fuse based on the feedback signal; If so, the three-dimensional gravity components of the multiple sampling points of each gravity acceleration sensor within the window are obtained.

4. The drop-out fuse status monitoring system according to claim 2 or 3, characterized in that: Also includes: The processing unit is configured to perform sampling using a current preset sampling frequency according to a first time period of the empirical action time of the drop-out fuse; The processing unit is configured to adjust the current preset sampling frequency for sampling using an exponential increase algorithm according to a second time period of the experience action time of the drop-out fuse, wherein the first time period is adjacent to the second time period and the first time period is in front.

5. The drop-out fuse status monitoring system according to claim 4, characterized in that: The exponential increase algorithm is used to adjust the current preset sampling frequency, as shown in the following formula: in, Indicates the update sampling frequency, Indicates the current preset sampling frequency. represents the growth coefficient, Indicates the second time period.

6. The drop-out fuse status monitoring system according to claim 1, characterized in that: Also included is a visual flying robot. When all gravity acceleration sensors still fail the consistency check after restarting, the visual flying robot is configured as follows: Determine the current position of the visual flying robot based on GPS and inertial measurement unit data; Plan the flight path according to the preset positions of the corresponding fuses; Adjust the flight attitude in real time through the visual sensor to ensure that the corresponding fuse is located at the center of the camera's field of view; The image acquisition and closed state recognition process is started, wherein the closed state recognition process is performed based on the trained neural network model.

7. A method for monitoring the state of a drop-out fuse, characterized in that: Applied to a microprocessing unit, the microprocessing unit is connected to at least two gravity acceleration sensors, the at least two gravity acceleration sensors are configured to collect acceleration change and gravity component of the drop-out fuse, the acceleration change and the gravity component are collected in sequence; When any of the acceleration changes exceeds a preset threshold, an interrupt request is generated; The method comprises: receiving the interrupt request; Obtaining gravity components of all the gravity acceleration sensors and performing consistency verification; If the gravity components of all the gravity acceleration sensors are consistent, the opening and closing state information of the drop-out fuse is sent to the communication terminal; If the gravity components of all the gravity acceleration sensors are inconsistent, all the gravity acceleration sensors are restarted.

8. A drop-out fuse status monitoring device, characterized in that: Applied to a microprocessing unit, the microprocessing unit is connected to at least two gravity acceleration sensors, the at least two gravity acceleration sensors are configured to collect acceleration change and gravity component of the drop-out fuse, the acceleration change and the gravity component are collected in sequence; When any of the acceleration changes exceeds a preset threshold, an interrupt request is generated; The device comprises: A receiving module, used for receiving the interrupt request; An acquisition module, used for acquiring the gravity components of all the gravity acceleration sensors and performing consistency verification; A first judgment module, configured to send the opening and closing state information of the drop-out fuse to a communication terminal if the gravity components of all the gravity acceleration sensors are consistent; The second judgment module is used to restart all the gravity acceleration sensors if the gravity components of all the gravity acceleration sensors are inconsistent.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the method for monitoring the state of a drop-out fuse according to claim 7 is controlled in a processor of the device where the program is located.

10. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors execute the drop-out fuse status monitoring method of claim 7.

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