Drop-type fuse status monitoring system, method, device, medium and equipment

Abstract

The present application discloses a monitoring system, method, device, medium and equipment for the state of a drop-out fuse. The system includes a gravity acceleration sensor, a processing unit and a communication terminal; at least two gravity acceleration sensors are configured to collect the acceleration change amount and the gravity component of the drop-out fuse, and the acceleration change amount and the gravity component are collected in sequence; when any acceleration change amount 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. The embodiments of the present application can not only capture the fuse action in time, but also avoid resource waste and misjudgment.

Description

Technical Field

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

[0002] In the power system, a high - voltage drop - type fuse is an important protection device, which is used to automatically disconnect when the circuit has an overload or a short - circuit, preventing equipment damage and accidents. In order to monitor the opening and closing state of the fuse in real time, a state acquisition module is usually installed on the fuse, and the action state of the fuse is detected by a wireless attitude 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. Such false alarms not only reduce the accuracy of the monitoring system, but also may trigger unnecessary maintenance operations or misjudge faults, thus affecting the stable operation of the power system. Summary of the Invention

[0004] In view of this, the present application provides a monitoring system, method, device, medium and equipment for the state of a drop - type fuse. 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 of the embodiments of the present application, a monitoring system for the state of a drop - type fuse is disclosed. The system includes a gravity acceleration sensor, a processing unit and a communication terminal;

[0006] At least two of the gravity acceleration sensors are configured to collect the acceleration change amount and the gravity component of the drop - type fuse, and the acceleration change amount and the gravity component are collected in sequence; when any one of the acceleration change amounts exceeds a preset threshold, an interrupt request is generated;

[0007] The processing unit is configured to receive the interrupt request, obtain the gravity components of all the gravity acceleration sensors and perform a consistency check; if the gravity components of all the gravity acceleration sensors are consistent, the opening and closing state information of the drop - type 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.

[0008] Further, the obtaining the gravity components of all the gravity acceleration sensors and performing a consistency check includes:

[0009] Based on every two of the gravity acceleration sensors, calculate the three - dimensional gravity component difference of the corresponding sampling points;

[0010] Compare the three - dimensional gravity component difference with a set range;

[0011] If the difference of the three-dimensional gravity components falls within the set range, an eigenvalue is output;

[0012] If the number of the eigenvalues meets a set threshold, consistency verification is passed.

[0013] Further, before calculating the difference of the three-dimensional gravity components of the corresponding sampling points based on every two of the gravity acceleration sensors, it further includes:

[0014] Receiving feedback signals of all the gravity acceleration sensors through a diagnostic signal;

[0015] Judging whether all the gravity acceleration sensors belong to the same drop-out fuse based on the feedback signals;

[0016] If so, acquiring the three-dimensional gravity components of multiple sampling points within a window of each of the gravity acceleration sensors.

[0017] Further, it further includes:

[0018] The processing unit is configured to sample at a current preset sampling frequency according to a first time period of the empirical operation time of the drop-out fuse;

[0019] The processing unit is configured to adjust the current preset sampling frequency for sampling by using an exponential increase algorithm according to a second time period of the empirical operation time of the drop-out fuse, the first time period and the second time period are adjacent and the first time period is in the front.

[0020] Further, adjusting the current preset sampling frequency by using the exponential increase algorithm is as follows: Wherein, represents the updated sampling frequency, represents the current preset sampling frequency, represents the growth coefficient, represents the second time period. Further, it further includes a vision flying robot. When the consistency verification still fails after all the gravity acceleration sensors are restarted, the vision flying robot is configured to:

[0021] Determine the current position of the vision flying robot according to GPS and inertial measurement unit data;

[0022] Plan a flight path according to the preset position of the corresponding fuse;

[0023] Adjust the flight attitude in real time through a vision sensor to ensure that the corresponding fuse is located at the center of the camera field of view;

[0024] Start the image acquisition and closed state recognition process, and the closed state recognition process is based on a trained neural network model.

[0025] A second aspect of the embodiments of the present application discloses a method for monitoring the state of a drop-out fuse, which is 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 the acceleration change amount and the gravity component of the drop-out fuse, and the acceleration change amount and the gravity component are collected in sequence. When any one of the acceleration change amounts exceeds a preset threshold, an interrupt request is generated.

[0026] The method includes:

[0027] Receive the interrupt request;

[0028] Obtain the gravity components of all the gravity acceleration sensors and perform consistency verification;

[0029] If the gravity components of all the gravity acceleration sensors are consistent, send the opening and closing state information of the drop-out fuse to the communication terminal;

[0030] If the gravity components of all the gravity acceleration sensors are inconsistent, restart all the gravity acceleration sensors.

[0031] A third aspect of the embodiments of the present application discloses a device for monitoring the state of a drop-out fuse, which is 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 the acceleration change amount and the gravity component of the drop-out fuse, and the acceleration change amount and the gravity component are collected in sequence. When any one of the acceleration change amounts exceeds a preset threshold, an interrupt request is generated.

[0032] The device includes:

[0033] A receiving module, configured to receive the interrupt request;

[0034] An obtaining module, configured to obtain the gravity components of all the gravity acceleration sensors and perform consistency verification;

[0035] A first judgment module, configured to, if the gravity components of all the gravity acceleration sensors are consistent, send the opening and closing state information of the drop-out fuse to the communication terminal;

[0036] A second judgment module, configured to, if the gravity components of all the gravity acceleration sensors are inconsistent, restart all the gravity acceleration sensors.

[0037] The fourth aspect of the embodiments of the present application discloses a computer-readable storage medium, which includes a stored program. When the program runs, it controls the processor of the device where it is located to execute the method for monitoring the state of a drop-type fuse in the above embodiments.

[0038] 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 method for monitoring the state of a drop-type fuse in the above embodiments.

[0039] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0040] The embodiments of the present application provide a system, method, device, medium and equipment for monitoring the state of a drop-type fuse. The high-voltage drop-type 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 amount and the gravity component of the drop-type fuse, and the acceleration change amount and the gravity component are collected in sequence; when any one of the acceleration change amounts 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-type 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.

[0041] In this embodiment, at least two gravity acceleration sensors are used to collect the acceleration change amount and the gravity component respectively, and the two kinds of data are combined for judgment. When the acceleration change amount exceeds the preset threshold, the system generates an interrupt request, triggering the processing unit to perform consistency verification on the gravity components of all sensors. If the gravity components are consistent, it is confirmed that the fuse action is effective, and the opening and closing state information is sent to the communication terminal; if the gravity components are inconsistent, it is determined that the data is abnormal, and all sensors are automatically restarted. This design solves the problem of false alarms caused by single sensors being easily interfered by the environment by performing collaborative verification on the acceleration change amount and the gravity component, while ensuring the accuracy of action 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 the missed alarm rate, extends the service life, and is applicable to complex power environments.

[0042] It should be noted 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 consume a large amount of computing and communication resources. By setting an acceleration threshold, the system can usually be in a low-power state, and only when an abnormal acceleration change is detected, the processing unit is activated to perform gravity component verification, greatly reducing resource waste. Description of the Drawings

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0044] Figure 1 It is a schematic structural diagram of a drop-type fuse status monitoring system provided by an embodiment of the present application.

[0045] Figure 2 It is a schematic structural diagram of a drop-type fuse status monitoring system provided by an embodiment of the present application.

[0046] Figure 3 It is a schematic flow diagram of a drop-type fuse status monitoring method provided by an embodiment of the present application.

[0047] Figure 4 It is a schematic structural diagram of a drop-type fuse status monitoring device provided by an embodiment of the present application. Detailed Embodiments

[0048] In order to enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0049] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0050] Embodiment 1:

[0051] Figure 1 As shown in the structural schematic diagram of a drop fuse status monitoring system provided by an embodiment of the present application, Figure 1 as shown, the system may include a gravitational acceleration sensor 100, a drop fuse 200, a processing unit 300, and a communication terminal 400.

[0052] At least two of the gravitational acceleration sensors are configured to collect the acceleration change amount and the gravity component of the drop fuse, and the acceleration change amount and the gravity component are collected in sequence; when any one of the acceleration change amounts exceeds a preset threshold, an interrupt request is generated.

[0053] The processing unit is configured to receive the interrupt request, obtain the gravity components of all the gravitational acceleration sensors and perform consistency verification; if the gravity components of all the gravitational acceleration sensors are consistent, the opening and closing state information of the drop fuse is sent to the communication terminal; if the gravity components of all the gravitational acceleration sensors are inconsistent, all the gravitational acceleration sensors are restarted.

[0054] The above-mentioned drop fuse includes a hanging part 201 and an opening and closing part 202. At least two gravitational acceleration sensors are arranged on the opening and closing part, and at least two gravitational acceleration sensors can be arranged adjacent to each other. The hanging part is the part where the drop fuse is connected to the power line, mainly used to fix the fuse and ensure its reliable connection with the circuit. The opening and closing part is the core part of the drop fuse, responsible for realizing the opening operation and disconnecting the circuit when an overload or short circuit occurs in the circuit; after the fault is eliminated, the circuit connection can be restored by manual or automatic operation to close the switch.

[0055] The above-mentioned acceleration change amount refers to the change of the acceleration detected by the sensor over time, and is usually used to detect the motion state of an object (such as starting, stopping, accelerating, decelerating, etc.).

[0056] The above-mentioned gravity component refers to the component of the gravitational acceleration detected by the sensor in a certain direction, which is usually used to determine the attitude of an object (such as tilt angle, vertical direction, etc.).

[0057] 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 devices (such as data acquisition terminals and intelligent gateways). These terminals receive the opening and closing status information of the fuse 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 applicable to various application scenarios of substations, distribution rooms, power companies, and maintenance personnel, ensuring the stable operation and efficient management of the power system.

[0058] It should be noted that during the opening and closing process of the fuse, the opening and closing part will go through an acceleration stage, that is, it quickly moves from a stationary state to the open or closed position. The change in acceleration during this stage increases significantly, which is the key signal for detecting the operation of the fuse. In practical applications, the change in acceleration during the opening and closing of the fuse is usually in the range of 5 m / s² to 20 m / s², and the specific value needs to be determined according to the model and design parameters of the fuse, and the same applies to the preset threshold.

[0059] In one embodiment, the sensor is connected to the processing unit (such as a microcontroller MCU) through an interrupt pin (such as GPIO). When the change in acceleration of the sensor exceeds the preset threshold, the interrupt pin changes from high level to low level (or vice versa), triggering a hardware interrupt.

[0060] Optionally, the sensor is a MEMS accelerometer.

[0061] Exemplarily, the gravity component data collected by the sensor in the open and closed states are shown in Table 1:

[0062] Exemplarily, the gravity component data collected by the sensor in the open and closed states are shown in Table 1:

[0063] 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 decreases significantly (such as ≤0.6g), and the X-axis or Y-axis gravity component increases significantly (such as ≥0.5g), it is determined to be in the open state. The specific data settings depend on the type of drop-out fuse.

[0064] In this embodiment, at least two acceleration sensors are used to collect the acceleration change amount and the gravity component respectively, and the two types of data are combined for judgment. When the acceleration change amount exceeds the preset threshold, the system generates an interruption request, triggering the processing unit to perform a consistency check on the gravity components of all sensors. If the gravity components are consistent, it is confirmed that the fuse operation is effective, and the switching state information is sent to the communication terminal; if the gravity components are inconsistent, it is determined that the data is abnormal, and all sensors are automatically restarted. This design solves the problem of false alarms caused by single sensors being vulnerable to environmental interference by performing collaborative verification on the two types of data, namely the acceleration change amount and the gravity component, while ensuring the accuracy of action detection. The interruption trigger mechanism improves the real-time performance of the system, and the automatic restart mechanism enhances the fault tolerance of the system. Therefore, this system significantly reduces the false alarm rate and the missed alarm rate, extends the service life, and is applicable to complex power environments.

[0065] It should be noted that if only relying on the gravity component to judge the state, the system needs to continuously collect data at a high frequency, which will consume a large amount of computing and communication resources. Through the acceleration threshold, the system can usually be in a low-power state, and only when an abnormal acceleration change is detected, the processing unit is activated to perform the gravity component verification, greatly reducing resource waste.

[0066] In some embodiments, as Figure 2 shown, the drop fuse status monitoring system further includes a visual flying robot 500. When the consistency check after restart of all acceleration sensors still fails, the visual flying robot is configured to:

[0067] S11. Determine the current position of the visual flying robot according to the GPS and inertial measurement unit data.

[0068] In this step, the GPS module and inertial measurement unit (IMU) carried by the visual flying robot are used to collect geographical coordinates, acceleration, and angular velocity data. The Kalman filtering algorithm is used for data fusion. After correcting the errors, the current three-dimensional position and attitude information are calculated and output, providing an accurate basis for subsequent path planning and attitude adjustment.

[0069] S12. Plan the flight path according to the preset position of the corresponding fuse.

[0070] In this step, the geographical 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 smoothing optimization to ensure that the path is continuous and avoids obstacles. Finally, the optimized path is sent to the flight control unit for execution.

[0071] S13. Real-time adjust the flight attitude through the visual sensor to ensure that the corresponding fuse is located at the center of the camera's field of view.

[0072] In this step, the fuse image is collected in real time by a camera, the position of the fuse is detected using the YOLO or SSD algorithm, the 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 through the PID control algorithm to stably position the fuse at the center of the field of view, ensuring the accuracy of image acquisition.

[0073] S14. Start the image acquisition and closed state recognition process, and the closed state recognition process is based on a trained neural network model.

[0074] In this step, after the fuse is at the center of the field of view, a high-resolution camera is started to collect clear images, the images are preprocessed by denoising, enhancing, and cropping, and the trained convolutional neural network (CNN) model is input to identify the closed state of the fuse, and the recognition result is sent to the ground control station or the cloud platform.

[0075] In some embodiments, the obtaining of the gravity components of all the accelerometers and performing consistency verification includes:

[0076] S21. Based on every two of the accelerometers, calculate the three-dimensional gravity component differences at the corresponding sampling points.

[0077] In this step, three-dimensional gravity component data (Gx, Gy, Gz) is collected, the differences (ΔGx, ΔGy, ΔGz) are calculated axis by axis, and the results are stored in a buffer.

[0078] Exemplarily, based on each sampling point, the data of the first accelerometer is subtracted from that of the second accelerometer, the data of the second accelerometer is subtracted from that of the third accelerometer, and the data of the third accelerometer is subtracted from that of the first accelerometer.

[0079] S22. Compare the three-dimensional gravity component differences with a set range.

[0080] In this step, the allowable range of the three-dimensional gravity component differences is read from a preset parameter library, the calculated differences are compared with the set range, it is judged whether the differences meet the conditions, and the results are marked as "valid" or "invalid".

[0081] S23. If the three-dimensional gravity component differences fall within the set range, output the characteristic values.

[0082] In this step, for the differences marked as "valid", characteristic values are generated, which can be the differences themselves or the values after normalization.

[0083] S24. If the number of the characteristic values meets the set threshold, pass the consistency verification.

[0084] In this step, the number of "valid" eigenvalues in the statistical eigenvalue queue is counted. If the set threshold is met, it is considered that the data consistency check of multiple sensors passes.

[0085] In some embodiments, before calculating the three-dimensional gravity component difference of corresponding sampling points based on every two of the gravity acceleration sensors, the following steps are further included:

[0086] S31. Receive the feedback signals of all the gravity acceleration sensors through a diagnostic signal.

[0087] In this step, a query instruction is sent to all the gravity acceleration sensors through a diagnostic module, the feedback signals are received and parsed, and the sensor ID and gravity component data are extracted.

[0088] S32. Determine whether all the gravity acceleration sensors belong to the same drop-out fuse based on the feedback signals.

[0089] In this step, the sensor IDs in the feedback signals are matched with a preset database to determine whether all the sensors belong to the same drop-out fuse.

[0090] S33. If so, obtain the three-dimensional gravity components of multiple sampling points within a window for each of the gravity acceleration sensors.

[0091] In this step, if the sensors belong to the same fuse, the three-dimensional gravity component data of each sensor are continuously collected within a set sampling window, preprocessed by filtering and denoising, and then stored in the database.

[0092] In some embodiments, the processing unit is configured to sample at a current preset sampling frequency according to a first time period of the experienced operating time of the drop-out fuse; the processing unit is configured to adjust the current preset sampling frequency for sampling by using an exponential increase algorithm according to a second time period of the experienced operating time of the drop-out fuse, and the first time period and the second time period are adjacent and the first time period is in the front.

[0093] In this embodiment, the operating time from the interruption node to the closing node or the fully opened node is determined through testing, and the first time period and the second time period are respectively set before and after the time point of the completion of this operation. Herein, the fully opened node refers to the angle between the opening and closing part and the hanging part reaching the maximum value. In some other embodiments, the fully opened node can be replaced by a set opening node, which refers to the angle between the opening and closing part and the hanging part being a preset value, and at this time the time point changes adaptively.

[0094] Among them, the operating time is greater than the sum of the first time period and the second time period.

[0095] Among them, the first time period is greater than or equal to the second time period.

[0096] In some embodiments, the current preset sampling frequency is adjusted by using an exponential increase algorithm as follows: Among them, represents the updated sampling frequency, represents the current preset sampling frequency, represents the growth coefficient, represents the second time period. Figure 3 FIG. Figure 3 is a schematic flow chart of a method for monitoring the state of a drop-out fuse provided by an embodiment of the present application. The method is applied to a microprocessing unit, and the microprocessing unit is connected to at least two gravity acceleration sensors. At least two of the gravity acceleration sensors are configured to collect the acceleration change amount and the gravity component of the drop-out fuse, and the acceleration change amount and the gravity component are collected in sequence; when any one of the acceleration change amounts exceeds a preset threshold, an interrupt request is generated.

[0097] Specifically, the method includes: S301 receiving the interrupt request.

[0098] S302 obtaining the gravity components of all the gravity acceleration sensors and performing consistency verification.

[0099] S303 if the gravity components of all the gravity acceleration sensors are consistent, sending the opening and closing state information of the drop-out fuse to the communication terminal.

[0100] S304 if the gravity components of all the gravity acceleration sensors are inconsistent, restarting all the gravity acceleration sensors.

[0101] Embodiment 2:

[0102] Figure 4 FIG. is a schematic structural diagram of a device for monitoring the state of a drop-out fuse provided by an embodiment of the present application. The device is applied to a microprocessing unit, and the microprocessing unit is connected to at least two gravity acceleration sensors. At least two of the gravity acceleration sensors are configured to collect the acceleration change amount and the gravity component of the drop-out fuse, and the acceleration change amount and the gravity component are collected in sequence; when any one of the acceleration change amounts exceeds a preset threshold, an interrupt request is generated.

[0103] Specifically, the device includes:

[0104] A receiving module 401, configured to receive the interrupt request.

[0105] An obtaining module 402, configured to obtain the gravity components of all the gravity acceleration sensors and perform consistency verification.

[0106] The first judgment module 403 is configured to send the opening and closing state information of the drop - out fuse to the communication terminal if the gravity components of all the gravity acceleration sensors are consistent.

[0107] 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.

[0108] Further, obtaining the gravity components of all the gravity acceleration sensors and performing consistency verification includes:

[0109] Calculating the three - dimensional gravity component difference of corresponding sampling points based on every two of the gravity acceleration sensors;

[0110] Comparing the three - dimensional gravity component difference with a set range;

[0111] If the three - dimensional gravity component difference falls within the set range, outputting an eigenvalue;

[0112] If the number of the eigenvalues meets a set threshold, passing the consistency verification.

[0113] Further, before calculating the three - dimensional gravity component difference of corresponding sampling points based on every two of the gravity acceleration sensors, it further includes:

[0114] Receiving the feedback signals of all the gravity acceleration sensors through a diagnostic signal;

[0115] Judging whether all the gravity acceleration sensors belong to the same drop - out fuse based on the feedback signals;

[0116] If so, obtaining the three - dimensional gravity components of multiple sampling points within a window for each of the gravity acceleration sensors.

[0117] Further, it further includes:

[0118] The processing unit is configured to sample at a current preset sampling frequency according to a first time period of the experienced operation time of the drop - out fuse;

[0119] The processing unit is configured to adjust the current preset sampling frequency for sampling by using an exponential increase algorithm according to a second time period of the experienced operation time of the drop - out fuse, where the first time period and the second time period are adjacent and the first time period is before the second time period.

[0120] Further, adjusting the current preset sampling frequency by using the exponential increase algorithm is as follows: Where, represents the updated sampling frequency, represents the current preset sampling frequency, represents the growth coefficient, represents the second time period. Further, it also includes a vision flight robot. When the consistency check of all gravity acceleration sensors still fails after restart, the vision flight robot is configured to:

[0121] Determine the current position of the vision flight robot according to GPS and inertial measurement unit data;

[0122] Plan a flight path according to the preset positions of the corresponding fuses;

[0123] Adjust the flight attitude in real time through a vision sensor to ensure that the corresponding fuse is located at the center of the camera's field of view;

[0124] Start an image acquisition and closed state recognition process, and the closed state recognition process is based on a trained neural network model.

[0125] Embodiment 3:

[0126] An embodiment of the present application also provides an electronic device, including: a memory storing an executable program; a processor for running the program, wherein when the program runs, it executes the methods in various embodiments of the present invention.

[0127] The above-mentioned memory may refer to a device inside a computer for storing data and programs, which may include memory, hard disk, etc. Among them, the memory can be used to temporarily store running programs and data, and the hard disk can be used to store programs and data in the long term. The memory can be used to enable a computer to read and write data and execute programs; the above-mentioned processor can be responsible for executing instructions in a computer program and performing data processing, and can be responsible for controlling and executing various operations, including arithmetic operations, logical operations, data transmission, etc.

[0128] Embodiment 4:

[0129] An embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium includes a stored executable program, wherein when the executable program runs, it controls the device where the computer-readable storage medium is located to execute the methods in various embodiments of the present invention.

[0130] The above-mentioned computer storage medium may refer to a medium in a computer memory for storing a certain discontinuous physical quantity. The computer storage medium mainly includes semiconductors, magnetic cores, magnetic drums, magnetic tapes, laser discs, etc.; the stored program included in the computer-readable storage medium can be a set of instructions that a computer can recognize and execute, running on an electronic computer, and is an information tool that meets people's certain needs.

[0131] Embodiment 5:

[0132] Embodiments of the present application also provide a computer program product, including a computer program, which when executed by a processor, implements the methods in various embodiments of the present invention.

[0133] The above computer program product may refer to a software program that has been written, tested, and released, and can run on a computer or other devices. The computer program product may include application programs, operating systems, tool software, etc., and is used to implement specific functions or solve specific problems.

[0134] Example 6:

[0135] Embodiments of the present application also provide a computer program product, including a non-volatile computer-readable storage medium for storing a computer program, which when executed by a processor, implements the methods in various embodiments of the present invention.

[0136] The above non-volatile computer-readable storage medium may refer to a medium for storing data. The non-volatile computer-readable storage medium can retain data without loss when powered off and can be used to store data for long-term preservation, such as operating systems, application programs, and user files. The non-volatile storage medium may include hard disk drives, solid-state drives, optical discs, and flash storage devices, etc.

[0137] Example 7:

[0138] Embodiments of the present application also provide a computer program, which when executed by a processor, implements the methods in various embodiments of the present invention described above.

[0139] The above computer program may refer to a set of instructions used to tell a computer to perform specific tasks or operations. The computer program can be written by a programmer using a specific programming language and may include algorithms, data structures, logic, and control flow, etc. The computer program can be used for various purposes, including application software, operating systems, etc.

[0140] In the above embodiments of the present invention, the descriptions of the various embodiments have their own focuses. For parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0141] In several embodiments provided by the present 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 illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. 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 couplings or direct couplings or communication connections shown or discussed with each other can be through some interfaces. The indirect couplings or communication connections of units or modules can be in electrical or other forms.

[0142] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0143] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0144] If the above-mentioned 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 such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0145] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope 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 according to claim 7.

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