Safety monitoring method, device, equipment, medium and program for overhead line system working vehicle

Abstract

The invention relates to a contact network working vehicle safety monitoring method, device, equipment, medium and program, and the method comprises the steps: collecting a high-voltage line magnetic field signal and a switch detection signal of a contact network working vehicle, converting the high-voltage line magnetic field signal into a voltage signal, and obtaining a high-voltage line voltage signal; performing signal conditioning on the high-voltage line voltage signal and the switch detection signal to obtain a target signal; performing signal feature recognition on the target signal to obtain a high-voltage line electrification state and a working state corresponding to the contact network working vehicle; and performing operation control and safety early warning on the overhead line system working vehicle according to the live-line state and the working state of the high-voltage line. The voltage of the high-voltage wire can be measured under the condition that the high-voltage wire is not contacted, the safety of high-voltage live detection is improved, operation control and safety early warning are carried out on the contact network working vehicle, and the safety of a contact network working vehicle platform can be guaranteed.

Description

Technical Field

[0001] The present disclosure relates to the technical field of safety monitoring of high-voltage working vehicles, and in particular to a method, device, equipment, medium and program for safety monitoring of overhead line working vehicles. Background Art

[0002] Electric locomotives are important equipment for electrified railway transportation. They carry and assist maintenance personnel in inspecting, testing, repairing and troubleshooting the contact network. The existing operation method is that after the leader receives the power outage operation order from the power dispatcher through the station liaison officer, he orders the ground wire personnel to test the electricity, ground, and hang the ground wire to detect whether the high voltage is energized. Then the operators enter the contact network operation vehicle platform to work. The safety door on the contact network operation vehicle platform is closed by a mechanical latch. When entering the platform, the operators directly open the latch by hand to open the safety door and enter the platform to work. The whole process is completely dependent on manual operation and monitoring. The movement of the platform cannot be detected and controlled in real time. The detection equipment must be hung on the high-voltage line for detection. There is no real-time restriction on the movement of the platform and the opening and closing of the safety door, which will cause safety hazards such as misoperation. Therefore, how to improve the safety of the contact network operation vehicle platform has become an urgent problem to be solved.

[0003] Public Content

[0004] The present invention provides a method, device, equipment, medium and program for safety monitoring of a contact network operation vehicle. High-voltage live detection is performed using a high-voltage line magnetic field signal. The voltage of the high-voltage line can be measured without contacting the high-voltage line, thereby improving the safety of high-voltage live detection. Signal feature recognition is performed on the high-voltage line voltage signal and the switch detection signal of the contact network operation vehicle to obtain the live state and working state of the high-voltage line. The operation of the contact network operation vehicle can be controlled and a safety warning can be given according to the live state and working state of the line, thereby ensuring the safety of the contact network operation vehicle platform.

[0005] In a first aspect, the present disclosure provides a method for safety monitoring of a contact network operation vehicle, comprising: collecting high-voltage line magnetic field signals and switch detection signals of the contact network operation vehicle, converting the high-voltage line magnetic field signals into voltage signals, and obtaining high-voltage line voltage signals; performing signal conditioning on the high-voltage line voltage signals and switch detection signals to obtain target signals; performing signal feature recognition on the target signals to obtain the high-voltage line energized state and working state corresponding to the contact network operation vehicle; and performing operation control and safety warning on the contact network operation vehicle according to the high-voltage line energized state and working state.

[0006] In some embodiments, converting the high-voltage line magnetic field signal into a voltage signal includes: determining the magnetic field strength according to the high-voltage line magnetic field signal; calculating the passing current corresponding to the high-voltage line magnetic field signal according to the magnetic field strength;

[0007] The current corresponding to the high-voltage line magnetic field signal is calculated using the following formula:

[0008]

[0009] Where I represents the current passing through, B represents the magnetic field strength, r represents the preset detection distance, and μ0 represents the magnetic permeability of vacuum;

[0010] Calculate the voltage signal of the high-voltage line magnetic field signal according to the electromagnetic intensity and the current passing through;

[0011] The voltage signal of the high-voltage line magnetic field signal is calculated using the following formula:

[0012] V=R·I·B

[0013] Among them, V represents the voltage signal, R represents the preset material coefficient, I represents the passing current, and B represents the magnetic field strength.

[0014] In some embodiments, signal conditioning is performed on the high-voltage line voltage signal and the switch detection signal to obtain a target signal, including: signal enhancement of the high-voltage line voltage signal and the switch detection signal to obtain an enhanced signal; linearization of the enhanced signal to obtain a linearized signal; and level conversion of the linearized signal to obtain a target signal corresponding to the high-voltage line voltage signal and the switch detection signal.

[0015] In some embodiments, the high-voltage line voltage signal and the switch detection signal are enhanced to obtain an enhanced signal, including: amplifying the high-voltage line voltage signal and the switch detection signal to obtain an amplified signal corresponding to the high-voltage line voltage signal and the switch detection signal; performing Fourier transform on the amplified signal to obtain a frequency domain signal; and performing signal noise reduction on the frequency domain signal to obtain an enhanced signal corresponding to the high-voltage line voltage signal and the switch detection signal.

[0016] In some embodiments, signal feature recognition is performed on the target signal to obtain the energized state and working state of the high-voltage line corresponding to the contact network operation vehicle, including: performing signal transformation and signal filtering on the target signal to obtain a signal spectrum; performing multi-layer convolution processing on the signal spectrum to obtain convolution features; performing self-attention calculation on the convolution features to obtain self-attention signal features; and fully connecting the self-attention features to obtain the energized state and working state of the high-voltage line corresponding to the contact network operation vehicle.

[0017] In some embodiments, operation control and safety warning of the contact network work vehicle are performed according to the energized state and working state of the high-voltage line, including: when the energized state of the high-voltage line is energized, controlling the switch state of the contact network work vehicle; when the energized state of the high-voltage line is not energized, determining the operating state of the contact network work vehicle according to the working state; controlling the switch state of the contact network work vehicle according to the operating state; and operating and warning of the contact network work vehicle according to the switch state.

[0018] In the second aspect, the present disclosure provides a contact network operation vehicle safety monitoring device, including: a high-voltage line magnetic field signal conversion module, which is used to collect the high-voltage line magnetic field signal and switch detection signal of the contact network operation vehicle, and convert the high-voltage line magnetic field signal into a voltage signal to obtain a high-voltage line voltage signal; a signal conditioning module, which is used to perform signal conditioning on the high-voltage line voltage signal and the switch detection signal to obtain a target signal; a signal feature recognition module, which is used to perform signal feature recognition on the target signal to obtain the high-voltage line energized state and working state corresponding to the contact network operation vehicle; an operation control and safety warning module, which is used to perform operation control and safety warning on the contact network operation vehicle according to the high-voltage line energized state and working state.

[0019] In a third aspect, the present disclosure provides a computer device including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of a method for safety monitoring of a contact line working vehicle in the above aspect.

[0020] In a fourth aspect, the present disclosure provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for safety monitoring of a contact network working vehicle in the above aspect.

[0021] In a fifth aspect, the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of a method for safety monitoring of a contact network working vehicle in the above aspect.

[0022] The present invention discloses a method, device, equipment, medium and program for safety monitoring of a contact network operation vehicle. The method can measure the voltage of a high-voltage wire without making contact with the high-voltage wire by collecting the high-voltage wire magnetic field signal of the contact network operation vehicle, thereby improving the safety of high-voltage live detection; signal conditioning is performed on the high-voltage wire voltage signal and the switch detection signal of the contact network operation vehicle to obtain a target signal suitable for digital processing; signal feature recognition is performed on the target signal to obtain the live state and working state of the high-voltage wire, and operation control and safety warning of the contact network operation vehicle can be performed according to the live state and working state of the wire, thereby ensuring the safety of the contact network operation vehicle platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0024] Figure 1 A schematic diagram showing a flow chart of a method for safety monitoring of a contact network operation vehicle according to a first embodiment of the present disclosure;

[0025] Figure 2 A schematic diagram of a process of converting a high-voltage line magnetic field signal into a voltage signal in the first embodiment of the present disclosure is shown;

[0026] Figure 3 A schematic diagram of a process for signal conditioning a high-voltage line voltage signal and a switch detection signal in the first embodiment of the present disclosure is shown;

[0027] Figure 4 A functional module diagram of a safety monitoring device for a contact network operation vehicle according to a third embodiment of the present disclosure is shown;

[0028] Figure 5 A schematic diagram of the composition structure of an electronic device for implementing a ubiquitous computing resource allocation method according to a fourth embodiment of the present invention is shown.

[0029] In the drawings, the same reference numerals are used for the same components, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, and to fully understand and implement how the present disclosure applies technical means to solve technical problems and achieve the corresponding technical effects, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only embodiments of a part of the present disclosure, not all of the embodiments. The embodiments of the present disclosure and the various features in the embodiments can be combined with each other without conflict, and the technical solutions formed are all within the scope of protection of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present disclosure.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure 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 interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment 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 equipment.

[0032] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer device such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0033] Embodiment 1

[0034] Figure 1 The following is a flow chart of a method for monitoring the safety of a contact network operation vehicle provided by an embodiment of the present disclosure. Figure 1 As shown, a method for safety monitoring of a contact network operation vehicle comprises:

[0035] S1. Collect the high-voltage line magnetic field signal and switch detection signal of the overhead line operation vehicle, convert the high-voltage line magnetic field signal into a voltage signal, and obtain the high-voltage line voltage signal.

[0036] In one embodiment, the contact network work vehicle is a special vehicle specifically used for the installation, repair, daily inspection and maintenance of electrified railway contact network facilities. The contact network work vehicle is usually equipped with equipment such as an aerial work platform, a lifting and rotating platform or an aerial work hanging basket, so that workers can perform aerial work in a safe environment.

[0037] Furthermore, the high-voltage line magnetic field signal is the magnetic field signal generated around the high-voltage wire when transmitting electric energy. Since the overhead line operation vehicle may come into contact with the left, right and main high-voltage wires, it is necessary to use the left high-voltage sensor, the right high-voltage sensor and the main high-voltage sensor to collect the magnetic field signal of the high-voltage wire to obtain the high-voltage line magnetic field signal. The switch detection signal is the circuit signal of the external switch of the overhead line operation vehicle, for example, the door limit switch signal, the unlock button switch signal, the platform out-of-position signal, the console switch signal, the sensor self-test signal and the wheel speed signal, etc. Among them, the left high-voltage sensor, the right high-voltage sensor and the main high-voltage sensor can be Hall effect sensors.

[0038] In one embodiment, see Figure 2 As shown, the high-voltage line magnetic field signal is converted into a voltage signal, including:

[0039] S21, determining the magnetic field strength according to the high-voltage line magnetic field signal;

[0040] S22, calculating the current corresponding to the high-voltage line magnetic field signal according to the magnetic field strength;

[0041] S23. Calculate the voltage signal of the high-voltage line magnetic field signal according to the electromagnetic intensity and the passing current.

[0042] In one embodiment, the high-voltage line magnetic field signal may be the strength and direction of the magnetic field generated by the high-voltage wire, and the through current is the current passing through the high-voltage wire, which can be calculated by the magnetic field strength of the magnetic field signal.

[0043] Specifically, the current corresponding to the high-voltage line magnetic field signal is calculated using the following formula:

[0044]

[0045] Among them, I represents the passing current, B represents the magnetic field strength, r represents the preset detection distance, and μ0 represents the magnetic permeability of vacuum.

[0046] In one embodiment, the preset detection distance is the vertical distance from the high-voltage sensor to the measurement point of the high-voltage wire, and μ0 is the magnetic permeability of vacuum, which is approximately 4π·10 7 Tesla*meter / ampere.

[0047] Furthermore, the voltage signal of the high-voltage line magnetic field signal is calculated using the following formula:

[0048] V=R·I·B

[0049] Among them, V represents the voltage signal, R represents the preset material coefficient, I represents the passing current, and B represents the magnetic field strength.

[0050] In one embodiment, the material coefficient is a coefficient that reflects the material properties of the high-pressure sensor, which is a constant and depends on the properties of the material itself. For example, when the left high-pressure sensor, the right high-pressure sensor and the main high-pressure sensor are Hall effect sensors, R is the Hall coefficient, which is used to reflect the strength of the Hall effect of the material of the Hall effect sensor.

[0051] In one embodiment, the high-voltage line magnetic field signal can be used to measure the voltage of the high-voltage line without contacting the high-voltage line, and further determine whether the high-voltage line is energized, thereby improving the safety of high-voltage energization detection and contact network operation vehicle operation.

[0052] S2. Perform signal conditioning on the high-voltage line voltage signal and the switch detection signal to obtain the target signal.

[0053] In one embodiment, the calculated high-voltage line voltage signal is obtained through the calculation of the magnetic field signal, so the value of the high-voltage line voltage signal is small, and signal conditioning is required. At the same time, the switch detection signal is demodulated to convert the high-voltage line voltage signal and the switch detection signal into standardized signals suitable for digital processing, and signals corresponding to the high-voltage line voltage signal and the switch detection signal are obtained.

[0054] In one embodiment, see Figure 3 As shown, the high-voltage line voltage signal and the switch detection signal are conditioned to obtain the target signal, including:

[0055] S31, performing signal enhancement on the high-voltage line voltage signal and the switch detection signal to obtain an enhanced signal;

[0056] S32, performing linearization processing on the enhanced signal to obtain a linearized signal;

[0057] S33, performing level conversion on the linearized signal to obtain a target signal corresponding to the high-voltage line voltage signal and the switch detection signal.

[0058] In one embodiment, signal enhancement is to perform signal amplification and signal filtering on the high-voltage line voltage signal and the switch detection signal to obtain an enhanced signal with better signal quality.

[0059] In one embodiment, the high-voltage line voltage signal and the switch detection signal are enhanced to obtain enhanced signals, including: amplifying the high-voltage line voltage signal and the switch detection signal to obtain amplified signals corresponding to the high-voltage line voltage signal and the switch detection signal; performing Fourier transform on the amplified signal to obtain a frequency domain signal; and performing signal noise reduction on the frequency domain signal to obtain enhanced signals corresponding to the high-voltage line voltage signal and the switch detection signal.

[0060] In one embodiment, the signal method can increase the strength of the high-voltage line voltage signal and the switch detection signal without changing the basic waveform or characteristics of the high-voltage line voltage signal and the switch detection signal, and then convert the high-voltage line voltage signal and the switch detection signal from the time domain to the frequency domain through Fourier transform. In the frequency domain, the frequency components of the signal are exposed, so that noise and useful signals can be distinguished. For example, noise usually appears as a high-frequency component, while useful signal information is usually concentrated in the low-frequency part. Then, a filter is used to reduce the signal noise. For example, a low-pass filter is used to remove high-frequency noise, or a band-pass filter is used to retain the signal within a specific frequency range. Random noise in the signal can be effectively removed while retaining useful signal components, thereby improving the accuracy of the high-voltage line voltage signal and the switch detection signal, and obtaining a more accurate enhanced signal.

[0061] In one embodiment, signal linearization processing is the process of converting the nonlinear output of the enhanced signal into a linear output, which helps to improve the accuracy and reliability of signal processing. The linearization of the signal can be achieved by mathematical modeling through nonlinear functions and fitting nonlinear characteristics through polynomials or other mathematical functions.

[0062] Furthermore, the level conversion is to further convert the linearized signal into a (TTL transistor-transistor logic, Transistor-Transistor Logic) level signal. A preset voltage converter can be used to convert the linearized signal from one voltage level to the voltage level corresponding to the TTL level signal, which can facilitate the subsequent operation control of the contact network operation vehicle.

[0063] In detail, the TTL level signal is a widely used digital logic level standard, usually using a 5V power supply voltage. It is a digital logic gate circuit design based on bipolar transistors, which can control the operation of the overhead line operation vehicle and provide early warning prompts.

[0064] S3. Perform signal feature recognition on the target signal to obtain the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle.

[0065] In one embodiment, signal feature recognition is to identify the characteristic attributes of the signal. The high-voltage line energized state indicates whether the high-voltage wire is energized. The working state indicates the operating state and switch state of the contact network work vehicle, such as rising, falling, moving, and the state of the operating console switch, door limit switch, etc.

[0066] In one embodiment, signal feature recognition is performed on a target signal to obtain the energized state and working state of the high-voltage line corresponding to the contact network operation vehicle, including: performing signal transformation and signal filtering on the target signal to obtain a signal spectrum; performing multi-layer convolution processing on the signal spectrum to obtain convolution features; performing self-attention calculation on the convolution features to obtain self-attention signal features; and fully connecting the self-attention features to obtain the energized state and working state of the high-voltage line corresponding to the contact network operation vehicle.

[0067] In one embodiment, the signal transformation is to convert the target signal into a spectrum diagram to extract the characteristic information of different target signals in the time and frequency domains, so as to more accurately obtain the characteristic information in the target signal and improve the accuracy of subsequent identification of the energized state and working state of the high-voltage line.

[0068] Specifically, the target signal is transformed and filtered to obtain a signal spectrum, including: performing signal pre-emphasis and signal normalization processing on the target signal to obtain a processed target signal; performing short-time Fourier transform on the processed speech signal to obtain a signal spectrogram of the sound signal; performing logarithmic conversion on the signal spectrogram to obtain a signal spectrum of the target signal.

[0069] In one embodiment, signal pre-emphasis is to enhance the high-frequency part of the target signal to compensate for the loss of high-frequency components during signal acquisition. Specifically, signal pre-emphasis is usually implemented in the time domain of the target signal. Signal pre-emphasis can highlight the high-frequency components in the signal and identify the state more accurately.

[0070] Furthermore, signal normalization is to scale the amplitude of the target signal to a uniform range, such as 0 to 1, or -1 to 1. Signal normalization helps to improve the stability of the signal processing algorithm.

[0071] Specifically, the short-time Fourier transform (STFT) can capture the local frequency characteristics of the target signal and obtain a signal spectrogram by dividing the target signal into short time frames and performing Fourier transform on each frame. The short-time Fourier transform first divides the processed speech signal into overlapping short time frames. For example, the length of the short time frame is 20ms to 40ms, and there is a 50% overlap between frames. A window function, such as a Hamming window or a Hanning window, is then applied to the data of each frame. A fast Fourier transform is performed on the windowed signal of each frame to obtain the spectrum of the time frame. The spectrum of each frame is arranged in chronological order to obtain a signal spectrogram.

[0072] In detail, the target features include target signals corresponding to the high-voltage line voltage signal and the switch detection signal, and therefore, signal transformation and signal filtering are performed on the target signals corresponding to the high-voltage line voltage signal and the switch detection signal, respectively, to obtain signal spectra corresponding to the high-voltage line voltage signal and the switch detection signal.

[0073] Furthermore, the data form of the signal spectrum is usually a graph, which can intuitively display the characteristic information of the signal frequency band and the change of the correlation between signals over time. The signal spectrum can be subjected to multi-layer convolution processing through a pre-built convolutional neural network to obtain convolution features.

[0074] Furthermore, the Transformer model can be used to perform self-attention calculation on the convolution features, and a fully connected layer can be set after the Transformer model to classify the signal features of the target signal to obtain the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle.

[0075] In one embodiment, the energized state of the high-voltage wire can be used to determine whether the high-voltage wire is energized when the overhead line operation vehicle is working, and whether the overhead line operation vehicle is in working condition, thereby improving the safety of the overhead line operation vehicle platform.

[0076] S4. Carry out operation control and safety warning of the overhead line operation vehicle according to the energized state and working state of the high-voltage line.

[0077] In one embodiment, the operation control is to control the rise, fall, movement of the contact network work vehicle platform and the control of the operating table switch and door limit switch. The safety warning controls the preset indicator lights to display prompts of the energized status and working status of the high-voltage line and the speaker voice alarm prompts to further remind the staff to perform safe operations.

[0078] In one embodiment, operation control and safety warning of the contact network working vehicle are performed according to the energized state and working state of the high-voltage line, including: when the energized state of the high-voltage line is energized, controlling the switch state of the contact network working vehicle; when the energized state of the high-voltage line is not energized, determining the operating state of the contact network working vehicle according to the working state; controlling the switch state of the contact network working vehicle according to the operating state; and operating the contact network working vehicle and issuing a safety warning according to the switch state.

[0079] In one embodiment, when the high-voltage line is in a live state, indicating that the high-voltage wire is live, if the roof platform of the contact network work vehicle is mistakenly entered, a safety accident may occur. Therefore, it is necessary to control the switches of the contact network work vehicle, such as the operating console switch, the safety door switch, and the door limit switch, to be closed; when the high-voltage line is in a live state, indicating that the high-voltage wire is not live, it means that the roof platform of the contact network work vehicle can be entered, but it is necessary to determine whether the operating state of the contact network work vehicle is in the operating process according to the working state, for example, the rising, falling, and left and right movement of the contact network work vehicle. When the contact network work vehicle is moving, the switch of the contact network work vehicle needs to be controlled to be closed, so as to prevent objects on the contact network work vehicle from falling and causing driving safety accidents.

[0080] In detail, the safety warning is based on the switch status, that is, when the switch status cannot be opened, a prompt is given through an indicator light or a horn. Among them, the warning can be given according to the preset indicator light color and voice to remind that the switch status of the contact network work vehicle cannot be switched to ensure the safety of the contact network work vehicle platform.

[0081] Embodiment 2

[0082] On the basis of the above embodiments, in order to more clearly understand the present disclosure, a second embodiment is used below to further explain the situation in which the first embodiment of the present disclosure needs to more accurately identify the signal characteristics of the target signal to obtain the energized state and working state of the high-voltage line corresponding to the contact network operation vehicle.

[0083] In the embodiment of the present disclosure, the signal characteristics of the target signal are identified to obtain the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle, including:

[0084] The target signal is converted into a two-dimensional matrix, and the first convolution and feature activation are performed on the two-dimensional matrix to obtain the first convolution feature of the target signal;

[0085] Performing upsampling and a second convolution on the first convolution feature to obtain a convolution upsampled feature of the target signal;

[0086] The convolution up-sampled features are activated by logarithmic function and fully connected to obtain the energized state and working state of the high-voltage line corresponding to the contact network operation vehicle.

[0087] In an embodiment of the present invention, the target signal is converted into a two-dimensional matrix with one dimension represented by the time domain and one dimension represented by the frequency domain, wherein if the target signal is divided into n frames, the n-frame target signal is divided into two-dimensional matrices in static form, first-order difference and second-order difference to perform convolution on the target signal.

[0088] Specifically, the first convolution can use a convolution kernel of size 5×5 as the sampling window and a log activation function as the activation function to better simulate the characteristics of biological neurons, alleviate the vanishing convolution gradient, and improve the accuracy of convolution vector extraction. The first convolution feature can be upsampled using deconvolution, and the second convolution can be performed using a convolution kernel of size 4×4 to obtain a convolution upsampled feature.

[0089] Furthermore, linear transformation, that is, full connection of features on convolution, can identify the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle, for example, whether the high-voltage wire is energized when the overhead line operation vehicle is working, and whether the overhead line operation vehicle is in working state.

[0090] In one embodiment, convolution upsampling is used to expand the size of the feature map to facilitate tensor splicing. Convolution upsampling is used as an intermediate layer of convolution to expand the feature resolution information, thereby improving the accuracy of identifying the energized state and working state of the high-voltage line.

[0091] Embodiment 3

[0092] Based on the above embodiments, Figure 4 This is a functional module diagram of a safety monitoring device for a contact network operation vehicle provided by an embodiment of the present disclosure. Figure 4 As shown, a safety monitoring device for a contact network operation vehicle comprises:

[0093] The overhead line operation vehicle safety monitoring device 400 of this embodiment can be installed in an electronic device. According to the functions to be implemented, the overhead line operation vehicle safety monitoring device 400 may include a high-voltage line magnetic field signal conversion module 401, a signal conditioning module 402, a signal feature recognition module 403, and an operation control and safety warning module 404. The disclosed module may also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0094] In this embodiment, the functions of each module / unit are as follows:

[0095] The high-voltage line magnetic field signal conversion module 401 is used to collect the high-voltage line magnetic field signal and the switch detection signal of the overhead line operation vehicle, convert the high-voltage line magnetic field signal into a voltage signal, and obtain a high-voltage line voltage signal;

[0096] The signal conditioning module 402 is used to perform signal conditioning on the high-voltage line voltage signal and the switch detection signal to obtain a target signal;

[0097] The signal feature recognition module 403 is used to perform signal feature recognition on the target signal to obtain the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle;

[0098] The operation control and safety warning module 404 is used to perform operation control and safety warning on the overhead line operation vehicle according to the energized state and working state of the high-voltage line.

[0099] In detail, each module in the overhead line operation vehicle safety monitoring device 400 in the embodiment of the present disclosure adopts the same technical means as the overhead line operation vehicle safety monitoring method in embodiment 1 when in use, and can produce the same technical effects, which will not be repeated here.

[0100] Embodiment 4

[0101] like Figure 5 As shown, this embodiment also provides a computer electronic device, which may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a ubiquitous computing resource allocation program.

[0102] Among them, the processor 10 can be composed of integrated circuits in some embodiments, for example, it can be composed of a single packaged integrated circuit, or it can be composed of multiple integrated circuits packaged with the same function or different functions, including one or more central processing units (CPU), microprocessors, digital processing chips, graphics processors and various control chips.

[0103] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (eg, an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc.

[0104] The communication bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0105] The communication interface 13 is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices.

[0106] In some implementations of this embodiment, a computer-readable storage medium is provided, on which a computer program is stored, characterized in that when the computer program is executed by a processor, the steps of the method of the above embodiment are implemented.

[0107] In some implementations of this embodiment, a computer-readable storage medium is provided, on which a computer program is stored, characterized in that when the computer program is executed by a processor, the steps of the method of the above embodiment are implemented.

[0108] In some implementations of this embodiment, a computer program product is provided, including a computer program / instructions, characterized in that the steps of the method of the above embodiment are implemented when the computer program is executed by a processor.

[0109] The processor may include, but is not limited to, one or more processors or microprocessors, etc. Each processor may be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, and is used to execute the steps of the above-mentioned embodiment method.

[0110] Computer-readable storage media can be implemented by any type of volatile or non-volatile storage device or a combination thereof. Computer-readable storage media may include, but are not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (such as hard disks, floppy disks, solid-state drives, removable disks, Blu-ray disks, etc.).

[0111] The computer-readable storage medium may also store at least one computer executable program / instruction, which may be, for example, a computer-readable instruction. The computer-readable storage medium includes, but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The computer-readable storage medium may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. For example, a non-transitory computer-readable storage medium may be connected to a computing device such as a computer, and then, when the computing device runs the computer-readable instructions stored on the computer-readable storage medium, the various methods described above may be performed.

[0112] In addition, the computer device may also include (but not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (eg, keyboard, mouse, speaker, etc.), etc.

[0113] The processor may communicate with external devices via an I / O bus via a wired or wireless network.

[0114] In one embodiment, the at least one computer executable instruction may also be compiled into or constitute a software product / computer program product, wherein one or more computer executable instructions are executed by a processor to perform the various functions and / or method steps in the embodiments described in the present technology.

[0115] In the embodiments provided in the present disclosure, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based device that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0116] It should be noted that in the present disclosure, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element limited by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0117] Although the embodiments disclosed in the present disclosure are as above, the above contents are only embodiments adopted for facilitating the understanding of the present disclosure and are not intended to limit the present disclosure. Any technician in the technical field to which the present disclosure belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present disclosure, but the scope of patent protection of the present disclosure shall still be subject to the scope defined in the attached claims.

Claims

1. A method for safety monitoring of a contact network operation vehicle, characterized in that: include: Collecting the high-voltage line magnetic field signal and the switch detection signal of the overhead line operation vehicle, converting the high-voltage line magnetic field signal into a voltage signal to obtain a high-voltage line voltage signal; Performing signal conditioning on the high-voltage line voltage signal and the switch detection signal to obtain a target signal; Performing signal feature recognition on the target signal to obtain the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle; The operation of the overhead line operation vehicle is controlled and a safety warning is given according to the energized state of the high-voltage line and the working state.

2. The method for safety monitoring of overhead line operation vehicles according to claim 1, characterized in that: The step of converting the high-voltage line magnetic field signal into a voltage signal comprises: Determining the magnetic field strength according to the high-voltage line magnetic field signal; Calculating the current corresponding to the high-voltage line magnetic field signal according to the magnetic field strength; The current corresponding to the high-voltage line magnetic field signal is calculated using the following formula: Where I represents the current passing through, B represents the magnetic field strength, r represents the preset detection distance, and μ0 represents the magnetic permeability of vacuum; Calculate the voltage signal of the high-voltage line magnetic field signal according to the electromagnetic intensity and the passing current; The voltage signal of the high-voltage line magnetic field signal is calculated using the following formula: V=R·I·B Among them, V represents the voltage signal, R represents the preset material coefficient, I represents the passing current, and B represents the magnetic field strength.

3. The method for safety monitoring of overhead line operation vehicles according to claim 1, characterized in that: The step of performing signal conditioning on the high-voltage line voltage signal and the switch detection signal to obtain a target signal includes: Performing signal enhancement on the high-voltage line voltage signal and the switch detection signal to obtain an enhanced signal; Performing linearization processing on the enhanced signal to obtain a linearized signal; The linearized signal is level-converted to obtain the high-voltage line voltage signal and the target signal corresponding to the switch detection signal.

4. The method for safety monitoring of overhead line operation vehicles according to claim 3, characterized in that: The step of performing signal enhancement on the high-voltage line voltage signal and the switch detection signal to obtain an enhanced signal includes: Amplifying the high-voltage line voltage signal and the switch detection signal to obtain amplified signals corresponding to the high-voltage line voltage signal and the switch detection signal; Performing Fourier transform on the amplified signal to obtain a frequency domain signal; Signal noise reduction is performed on the frequency domain signal to obtain enhanced signals corresponding to the high-voltage line voltage signal and the switch detection signal.

5. The method for safety monitoring of overhead line operation vehicles according to claim 1, characterized in that: The signal feature recognition of the target signal is performed to obtain the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle, including: Performing signal transformation and signal filtering on the target signal respectively to obtain a signal spectrum; Performing multi-layer convolution processing on the signal spectrum to obtain convolution features; Performing self-attention calculation on the convolution feature to obtain a self-attention signal feature; The self-attention features are fully connected to obtain the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle.

6. The method for safety monitoring of overhead line operation vehicles according to claim 1, characterized in that: The operation control and safety warning of the overhead line operation vehicle according to the energized state of the high-voltage line and the working state include: When the high-voltage line is in a live state, controlling the switch state of the overhead line operation vehicle; When the high-voltage line is in a non-energized state, determining the operating state of the overhead line operation vehicle according to the working state; Controlling the switch state of the overhead line operation vehicle according to the operating state; The operation of the overhead line operation vehicle is controlled and a safety warning is issued according to the switch status.

7. A safety monitoring device for a contact network operation vehicle, characterized in that: include: A high-voltage line magnetic field signal conversion module is used to collect the high-voltage line magnetic field signal and the switch detection signal of the overhead line operation vehicle, convert the high-voltage line magnetic field signal into a voltage signal, and obtain a high-voltage line voltage signal; A signal conditioning module, used for performing signal conditioning on the high-voltage line voltage signal and the switch detection signal to obtain a target signal; A signal feature recognition module is used to perform signal feature recognition on the target signal to obtain the energized state and working state of the high-voltage line corresponding to the overhead line operation vehicle; The operation control and safety warning module is used to perform operation control and safety warning on the contact network operation vehicle according to the energized state of the high-voltage line and the working state.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the overhead line operation vehicle safety monitoring method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the overhead line operation vehicle safety monitoring method described in any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the overhead line operation vehicle safety monitoring method described in any one of claims 1 to 6 are implemented.

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