Stress monitoring and speed control system and method for laying power cable, and storage medium

By monitoring and controlling the stress and speed of cables in real time, the problems of excessive stress and improper speed control in traditional power cable laying are solved, and the safe and efficient laying of cables and low maintenance costs are achieved.

CN119210260APending Publication Date: 2024-12-27HENAN POWER TRANSMISSION & TRANSFORMATION CONSTR CO LTD +2
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Patent Information

Application Number
CN202411105731.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-13
Publication Date
2024-12-27

AI Technical Summary

Technical Problem

During the laying of traditional power cables, excessive cable stress leads to conductor damage, improper speed control leads to skin damage, inability to monitor stress and control speed leads to too small bending radius of the cable, which increases damage risk and maintenance costs.

Method used

Using tensile stress sensors, side stress sensors and photoelectric encoders, combined with low-noise preamplifier circuits, data acquisition modules, data processing and transmission modules, network chips and multi-signal time-frequency domain analysis platform to achieve cable stress and speed real-time monitoring and control.

Benefits of technology

It effectively reduces the risk of cable damage, improves construction efficiency, reduces maintenance costs, and ensures the stability and service life of the cable.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a power cable stress monitoring and speed control system and method and a storage medium. A data acquisition module performs acquisition and anti-interference processing on a tensile stress signal and a side stress signal, and outputs the processed signals to a data processing and transmission module; the speed signal processing module adjusts the speed signal and outputs the speed signal to the data processing and transmitting module; the data processing and transmission module processes the tensile stress signal, the side stress signal and the speed signal, and sends the processed data of the tensile stress signal and the side stress signal to a multi-signal fusion time-frequency domain analysis platform through a network chip; and outputting the processed speed signal to a power cable winding displacement mechanism through a driving circuit. Acquisition and monitoring of a tensile stress signal and a lateral stress signal in the power cable laying process and acquisition processing and control of the speed of a motor are realized. The damage risk in the cable laying process is small, the construction efficiency is high, and the maintenance cost is low.
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Description

Technical Field

[0001] The present invention belongs to the technical field of cable laying, and in particular relates to a cable stress monitoring and speed control system, method and storage medium for laying electric power. Background Art

[0002] In modern power systems, power cable laying is a vital task. With the continuous growth of power demand and the increasing complexity of power grids, it is particularly important to ensure the safety, efficiency and high quality of the power cable laying process. Traditional power cable laying often relies on experience and simple equipment. However, this method has the following problems: 1. The cable may be damaged due to excessive stress, and the core wire may be over-stretched or squeezed, destroying the integrity of the conductor, thereby affecting the transmission efficiency and stability of the current.

[0003] 2. Improper speed control may cause the cable to stop or start suddenly during the laying process, which can easily cause severe friction between the cable sheath and the laying channel, increase the risk of sheath damage, and thus reduce the insulation performance of the cable. Speed ​​adjustment often relies on manual judgment, which is difficult to achieve real-time matching with the cable stress condition, resulting in excessive cable stress due to excessive speed, or construction efficiency affected by too slow speed.

[0004] 3. Failure to monitor stress and control speed may result in a too small bending radius of the cable. If the cable is in this state for a long time, it is easy to cause excessive stretching or extrusion of the cable during the laying process, thereby damaging the cable insulation layer and conductor structure, causing cracks in the cable insulation layer, shortening the service life of the cable, and even causing short circuit failures.

[0005] 4. Failure to monitor stress and loss of speed control may also cause uneven cable laying, local accumulation or over-stretching, which will increase the difficulty and cost of subsequent maintenance.

[0006] A method is needed that can accurately monitor cable stress and enable intelligent speed control. Summary of the invention

[0007] The purpose of the present invention is to provide a cable stress monitoring and speed control system for laying electric power, which is used to solve the technical problems of high damage risk, low construction efficiency and high maintenance cost in the cable laying process in the prior art.

[0008] The present invention also aims to provide a method for monitoring stress and controlling speed of cables for laying electric power.

[0009] Another object of the present invention is to provide a computer storage medium.

[0010] The technical solution of the present invention to solve the technical problem is: A cable stress monitoring and speed control system for laying electric power comprises a tensile stress sensor for collecting cable tensile stress, a lateral stress sensor for collecting cable lateral stress, a photoelectric encoder for collecting motor speed, a speed signal processing module, a first low-noise preamplifier circuit, a second low-noise preamplifier circuit, a data acquisition module, a data processing and transmission module, a network chip, a drive circuit, and a time-frequency domain analysis platform for multi-signal fusion; the photoelectric encoder is connected to the speed signal processing module; the tensile stress sensor is connected to the first low-noise preamplifier circuit; the lateral stress sensor is connected to the second low-noise preamplifier circuit; the first low-noise preamplifier circuit and the second low-noise preamplifier circuit are respectively connected to the data acquisition module, the data acquisition module and the speed signal processing module are respectively connected to the data processing and transmission module; the data processing and transmission module are respectively connected to the network chip and the drive circuit; the network chip is connected to the time-frequency domain analysis platform for multi-signal fusion, and the time-frequency domain analysis platform for multi-signal fusion is used to perform time-domain and frequency-domain analysis on the signal; the drive circuit is used to output the control signal of the motor to the three-phase inverter circuit.

[0011] Furthermore, the data processing and transmission module includes an ADC acquisition control unit, an ADC data processing unit, a digital filtering unit, a data framing unit and a network transmission unit.

[0012] Furthermore, it also includes a power supply module, which is electrically connected to the first low-noise preamplifier circuit, the second low-noise preamplifier circuit, the data processing and transmission module, and the network chip respectively.

[0013] Furthermore, the network chip adopts an RS485 physical communication interface.

[0014] Furthermore, the driving circuit adopts HCPL3120 driving circuit.

[0015] A method for monitoring stress and controlling speed of cables for laying electric power comprises the following steps: Q1: The first low-noise preamplifier circuit amplifies the cable tensile stress signal collected by the tensile stress sensor and outputs it to the data acquisition module; the second low-noise preamplifier circuit amplifies the cable side stress signal collected by the side stress sensor and outputs it to the data acquisition module; the photoelectric encoder collects the speed of the motor and outputs it to the speed signal processing module; Q2: The data acquisition module collects and performs anti-interference processing on the tensile stress signal and the lateral stress signal, and outputs the processed tensile stress signal and the lateral stress signal to the data processing and transmission module; the speed signal processing module adjusts the speed signal and outputs it to the data processing and transmission module; Q3: The data processing and transmission module processes the tensile stress signal, lateral stress signal and speed signal, and sends the processed tensile stress signal and lateral stress signal data to the multi-signal fusion time-frequency domain analysis platform through the network chip; the optimized speed control signal after processing the input data is output to the power cable arrangement mechanism through the drive circuit.

[0016] Furthermore, in step Q2, the data acquisition module performs anti-interference processing on the tensile stress signal and the lateral stress signal, which specifically includes the following steps: S1: read discrete signal; S2: Periodically intercept the signal according to the frequency of the excitation signal; S3: superimposing the obtained full-cycle signals according to the number of sampling points; S4: Processing the superimposed signal; specifically including: S401: Randomly resample the superimposed signal to obtain the sequence number and amplitude of a set number of sample points; S402: Smoothing and filtering the superimposed signal to obtain the amplitudes of the peaks and troughs, and calculating the average value to obtain the apparent amplitude; S5: Calculate the signal waveform of a set number of resampled sample points; S6: Calculate the apparent phase of the signal based on the least squares method; S7: taking the apparent amplitude and the apparent phase as the initial value of the signal and calculating the apparent signal; S8: taking the apparent signal as the theoretical signal and the superimposed signal as the observation signal, and filtering the theoretical signal and the observation signal using the Kalman filter algorithm; S9: Determine whether the error value between the filtered theoretical signal and the observed signal meets the set value; if so, output it to the data processing and transmission module; if not, use the filtered observed signal as the superimposed signal and repeat steps S4-S8.

[0017] Furthermore, in step Q2, the data processing and transmission module processes the speed signal using a speed determination method, which specifically includes the following steps: R1: The data processing and transmission module calculates the motor speed deviation and the motor speed deviation change rate according to the collected tensile stress signal, lateral stress signal, speed signal, and the given values ​​of the speed optimal curve and the stress optimal curve; R2: Fuzzification, fuzzy reasoning and clarification of motor speed deviation and motor speed deviation change rate; R3: Output the processed motor speed deviation and motor speed deviation change rate to the PID adaptive controller to obtain the optimal parameters for controlling speed change; output the optimal parameters to the power cable arrangement mechanism.

[0018] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the device where the computer-readable storage medium is located executes a method for cable stress monitoring and speed control for laying electric power.

[0019] The beneficial effects of the present invention are as follows: through the speed signal processing module, the first low-noise preamplifier circuit, the second low-noise preamplifier circuit, the data acquisition module, the data processing and transmission module, the network chip, the drive circuit, and the time-frequency domain analysis platform of multi-signal fusion; the first low-noise preamplifier circuit amplifies and processes the cable tensile stress signal collected by the tensile stress sensor and outputs it to the data acquisition module; the second low-noise preamplifier circuit amplifies and processes the cable side stress signal collected by the side stress sensor and outputs it to the data acquisition module; the photoelectric encoder collects the speed of the motor and outputs it to the speed signal processing module; the data acquisition module collects and performs anti-interference processing on the tensile stress signal and the side stress signal, and outputs the processed tensile stress signal and the side stress signal to the data processing and transmission module; the speed signal processing module adjusts the speed signal and outputs it to the data processing and transmission module; the data processing and transmission module processes the tensile stress signal, the side stress signal, and the speed signal, and sends the processed tensile stress signal and the side stress signal data to the time-frequency domain analysis platform of multi-signal fusion through the network chip; the processed speed signal is output to the three-phase inverter circuit through the drive circuit. It realizes the collection and monitoring of tensile stress signals and lateral stress signals during the laying of power cables, as well as the collection, processing and control of motor speed; it reduces the risk of damage during cable laying, increases construction efficiency and reduces maintenance costs. It effectively determines the various states of power cables during construction and provides real-time, accurate and critical data support for safe and reliable construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the structure of the cable stress monitoring and speed control system for laying power of the present invention; Figure 2 It is a flow chart of the cable stress monitoring and speed control method for laying power of the present invention; Figure 3 is a flow chart of the anti-interference processing method of the data acquisition module of the present invention; Figure 4 It is a flow chart of the speed determination method of the data processing and transmission module of the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0022] Embodiment 1: like Figure 1As shown, the present invention discloses a cable stress monitoring and speed control system for laying power, including a tensile stress sensor for collecting cable tensile stress, a lateral stress sensor for collecting cable lateral stress, and a photoelectric encoder for collecting motor speed, and also includes a speed signal processing module, a first low-noise preamplifier circuit, a second low-noise preamplifier circuit, a data acquisition module, a data processing and transmission module, a network chip, a drive circuit, a time-frequency domain analysis platform for multi-signal fusion, and a power module, and the power module is electrically connected to the first low-noise preamplifier circuit, the second low-noise preamplifier circuit, the data processing and transmission module, and the network chip. The photoelectric encoder is connected to the speed signal processing module; the tensile stress sensor is connected to the first low-noise preamplifier circuit; the lateral stress sensor is connected to the second low-noise preamplifier circuit; the first low-noise preamplifier circuit and the second low-noise preamplifier circuit are connected to the data acquisition module respectively, and the data acquisition module includes a filtering unit and an isolation unit. In the actual application process, corresponding hardware measures can also be used to achieve anti-interference, such as separate power supply, separate loop formation, separate wiring, etc. The data acquisition module and the speed signal processing module are respectively connected to the data processing and transmission module; the data processing and transmission module adopts an STM32 chip, including an ADC acquisition control unit, an ADC data processing unit, a digital filtering unit, a data framing unit and a network transmission unit. The data processing and transmission module is respectively connected to a network chip and a drive circuit; the network chip is connected to a time-frequency domain analysis platform for multi-signal fusion, and the connection method is a Modbus communication protocol. The time-frequency domain analysis platform for multi-signal fusion is used to perform time-domain and frequency-domain analysis on the signal; the network chip adopts an RS485 physical communication interface. The drive circuit is used to output the control signal of the motor to the three-phase inverter circuit, and the drive circuit adopts an HCPL3120 drive circuit.

[0023] The specific working process is as follows: The first low-noise preamplifier circuit amplifies and processes the cable tensile stress signal collected by the tensile stress sensor and outputs it to the data acquisition module; the second low-noise preamplifier circuit amplifies and processes the cable side stress signal collected by the side stress sensor and outputs it to the data acquisition module; the photoelectric encoder collects the speed of the motor and outputs it to the speed signal processing module; the data acquisition module collects and performs anti-interference processing on the tensile stress signal and the side stress signal, and outputs the processed tensile stress signal and the side stress signal to the data processing and transmission module; the speed signal processing module adjusts the speed signal and outputs it to the STM32 chip; the STM32 chip processes the tensile stress signal, the side stress signal, and the speed signal, and sends the processed tensile stress signal and the side stress signal data to the multi-signal fusion time-frequency domain analysis platform through the RS485 physical communication interface, completing the monitoring of the cable tensile stress and the side stress during the laying of the power cable. The processed speed signal is output to the three-phase inverter circuit through the HCPL3120 drive circuit, thereby realizing the control of the motor speed.

[0024] Embodiment 2: like Figure 2 As shown, a method for cable stress monitoring and speed control for laying power includes the following steps: Q1: The first low-noise preamplifier circuit amplifies the cable tensile stress signal collected by the tensile stress sensor and outputs it to the data acquisition module; the second low-noise preamplifier circuit amplifies the cable side stress signal collected by the side stress sensor and outputs it to the data acquisition module; the photoelectric encoder collects the speed of the motor and outputs it to the speed signal processing module; Q2: The data acquisition module collects and performs anti-interference processing on the tensile stress signal and the lateral stress signal, and outputs the processed tensile stress signal and the lateral stress signal to the data processing and transmission module; the speed signal processing module adjusts the speed signal and outputs it to the data processing and transmission module; Q3: The data processing and transmission module processes the tensile stress signal, lateral stress signal and speed signal, and sends the processed tensile stress signal and lateral stress signal data to the multi-signal fusion time-frequency domain analysis platform through the network chip; the optimized speed control signal after processing the input data is output to the power cable arrangement mechanism through the drive circuit.

[0025] like Figure 3 As shown, in step Q2, the data acquisition module performs anti-interference processing on the tensile stress signal and the lateral stress signal, which specifically includes the following steps: S1: read discrete signal; S2: Periodically intercept the signal according to the frequency of the excitation signal; S3: superimposing the obtained full-cycle signals according to the number of sampling points; S4: Processing the superimposed signal; specifically including: S401: Randomly resample the superimposed signal to obtain the sequence number and amplitude of a set number of sample points; S402: Smoothing and filtering the superimposed signal to obtain the amplitudes of the peaks and troughs, and calculating the average value to obtain the apparent amplitude; S5: Calculate the signal waveform of a set number of resampled sample points; S6: Calculate the apparent phase of the signal based on the least squares method; S7: taking the apparent amplitude and the apparent phase as the initial value of the signal and calculating the apparent signal; S8: taking the apparent signal as the theoretical signal and the superimposed signal as the observation signal, and filtering the theoretical signal and the observation signal using the Kalman filter algorithm; S9: Determine whether the error value between the filtered theoretical signal and the observed signal meets the set value; if so, output it to the data processing and transmission module; if not, use the filtered observed signal as the superimposed signal and repeat steps S4-S8.

[0026] like Figure 4 As shown, in step Q2, the data processing and transmission module processes the speed signal using a speed determination method, which specifically includes the following steps: R1: The data processing and transmission module calculates the motor speed deviation and the motor speed deviation change rate according to the collected tensile stress signal, lateral stress signal, speed signal, and the given values ​​of the speed optimal curve and the stress optimal curve; R2: Fuzzification, fuzzy reasoning and clarification of motor speed deviation and motor speed deviation change rate; R3: Output the processed motor speed deviation and motor speed deviation change rate to the PID adaptive controller to obtain the optimal parameters for controlling speed change; output the optimal parameters to the power cable arrangement mechanism.

[0027] Embodiment 3: A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the device where the computer-readable storage medium is located executes a method for cable stress monitoring and speed control for laying electric power.

[0028] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

Claims

1. A cable stress monitoring and speed control system for laying electric power, comprising a tensile stress sensor for collecting cable tensile stress, a lateral stress sensor for collecting cable lateral stress, and a photoelectric encoder for collecting motor speed, characterized in that: It also includes a speed signal processing module, a first low-noise preamplifier circuit, a second low-noise preamplifier circuit, a data acquisition module, a data processing and transmission module, a network chip, a drive circuit, and a time-frequency domain analysis platform for multi-signal fusion; the photoelectric encoder is connected to the speed signal processing module; the tensile stress sensor is connected to the first low-noise preamplifier circuit; the lateral stress sensor is connected to the second low-noise preamplifier circuit; the first low-noise preamplifier circuit and the second low-noise preamplifier circuit are respectively connected to the data acquisition module, and the data acquisition module and the speed signal processing module are respectively connected to the data processing and transmission module; the data processing and transmission module are respectively connected to the network chip and the drive circuit; the network chip is connected to the time-frequency domain analysis platform for multi-signal fusion, and the time-frequency domain analysis platform for multi-signal fusion is used to perform time-domain and frequency-domain analysis on the signal; the drive circuit is used to output the control signal of the motor to the three-phase inverter circuit.

2. The cable stress monitoring and speed control system for laying electric power according to claim 1, characterized in that: The data processing and transmission module includes an ADC acquisition control unit, an ADC data processing unit, a digital filtering unit, a data framing unit and a network transmission unit.

3. The cable stress monitoring and speed control system for laying electric power according to claim 1, characterized in that: It also includes a power supply module, which is electrically connected to the first low-noise preamplifier circuit, the second low-noise preamplifier circuit, the data processing and transmission module, and the network chip respectively.

4. The cable stress monitoring and speed control system for laying electric power according to claim 1, characterized in that: The network chip adopts RS485 physical communication interface.

5. The cable stress monitoring and speed control system for laying electric power according to claim 1, characterized in that: The driving circuit adopts HCPL3120 driving circuit.

6. A method for monitoring stress and controlling speed of cables for laying power, characterized in that: The following steps are involved: Q1: The first low-noise preamplifier circuit amplifies the cable tensile stress signal collected by the tensile stress sensor and outputs it to the data acquisition module; The second low-noise preamplifier circuit amplifies the cable side stress signal collected by the side stress sensor and outputs it to the data acquisition module; The photoelectric encoder collects the speed of the motor and outputs it to the speed signal processing module; Q2: The data acquisition module collects and performs anti-interference processing on the tensile stress signal and the lateral stress signal, and outputs the processed tensile stress signal and the lateral stress signal to the data processing and transmission module; the speed signal processing module adjusts the speed signal and outputs it to the data processing and transmission module; Q3: The data processing and transmission module processes the tensile stress signal, lateral stress signal and speed signal, and sends the processed tensile stress signal and lateral stress signal data to the multi-signal fusion time-frequency domain analysis platform through the network chip; the optimized speed control signal after processing the input data is output to the three-phase inverter circuit through the drive circuit.

7. The method for monitoring stress and controlling speed of cables for laying electric power according to claim 6, characterized in that: The method for the data acquisition module in step Q2 to perform anti-interference processing on the tensile stress signal and the lateral stress signal specifically comprises the following steps: S1: read discrete signal; S2: Periodically intercept the signal according to the frequency of the excitation signal; S3: superimposing the obtained full-cycle signals according to the number of sampling points; S4: Processing the superimposed signal; specifically including: S401: Randomly resample the superimposed signal to obtain the sequence number and amplitude of a set number of sample points; S402: Smoothing and filtering the superimposed signal to obtain the amplitudes of the peaks and troughs, and calculating the average value to obtain the apparent amplitude; S5: Calculate the signal waveform of a set number of resampled sample points; S6: Calculate the apparent phase of the signal based on the least squares method; S7: taking the apparent amplitude and the apparent phase as the initial value of the signal and calculating the apparent signal; S8: taking the apparent signal as the theoretical signal and the superimposed signal as the observation signal, and filtering the theoretical signal and the observation signal using the Kalman filter algorithm; S9: Determine whether the error value between the filtered theoretical signal and the observed signal meets the set value; if so, output it to the data processing and transmission module; if not, use the filtered observed signal as the superimposed signal and repeat steps S4-S8.

8. The method for monitoring stress and controlling speed of laying power cables according to claim 7, characterized in that: In step Q2, the data processing and transmission module processes the speed signal using a speed determination method, which specifically includes the following steps: R1: The data processing and transmission module calculates the motor speed deviation and the motor speed deviation change rate according to the collected tensile stress signal, lateral stress signal, speed signal, and the given values ​​of the speed optimal curve and the stress optimal curve; R2: Fuzzification, fuzzy reasoning and clarification of motor speed deviation and motor speed deviation change rate; R3: Output the processed motor speed deviation and motor speed deviation change rate to the PID adaptive controller to obtain the optimal parameters for controlling speed change; output the optimal parameters to the power cable arrangement mechanism.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the device where the computer-readable storage medium is located executes the method according to any one of claims 6 to 8.