Intelligent sensor for cable detection in cable engineering

Abstract

The invention discloses an intelligent sensor for cable detection for cable engineering. The intelligent sensor comprises a signal acquisition module, a data integration module, an environment adaptation module, an anomaly analysis module, a storage unit, a feedback module and a self-checking unit. The signal acquisition module comprehensively monitors the state of a cable through the temperature, stress, insulation and conductivity detection unit, the environment adaptation module improves the complex environment adaptation capability through humidity adjustment and vibration compensation, and the anomaly analysis module accurately analyzes signals through filtering and mode recognition. The feedback module displays parameters in real time and gives an alarm, and the self-checking unit monitors the running state of the sensor. The cable operation state can be comprehensively monitored, the detection accuracy and reliability are improved, potential hazards are rapidly positioned, and support is provided for safe operation of cable engineering.

Description

Technical Field

[0001] The present invention relates to the field of cable detection and intelligent sensing technology, and in particular to an intelligent sensor for cable detection used in cable engineering. Background Art

[0002] Cable testing has become a crucial step in improving the construction quality and operational safety of cable projects. Traditional testing methods typically rely on manual operation or simple testing equipment. However, cables are prone to aging, breakage, or poor connections after long-term use in complex environments. If these problems are not detected and addressed promptly, they can pose serious safety risks. However, current testing methods struggle to obtain comprehensive data in real time, have limited environmental adaptability, and exhibit low detection efficiency in harsh conditions. Therefore, a more intelligent testing device is needed.

[0003] However, existing detection equipment has certain limitations when it comes to simultaneous monitoring of multiple parameters. This can lead to inaccurate data and slow response times during the detection process, affecting the overall detection effect and even potentially leading to unnecessary repairs or accidents due to misjudgment. To address this, we propose an intelligent sensor for cable detection in cable engineering applications. Summary of the Invention

[0004] The purpose of the invention is to provide an intelligent sensor for cable detection used in cable engineering, which solves the problems mentioned in the background technology.

[0005] The present invention is implemented as follows: an intelligent sensor for cable detection used in cable engineering projects, comprising a signal acquisition module, a data integration module, an environmental adaptation module, an anomaly analysis module, a storage unit, a feedback module, and a self-test unit. The signal acquisition module, the environmental adaptation module, and the anomaly analysis module transmit collected or processed information to the data integration module for aggregation. The data integration module transmits the aggregated information to the storage unit for recording. The storage unit transmits the recorded information to the feedback module. The data integration module transmits the aggregated information to the self-test unit.

[0006] Furthermore, an intelligent sensor for cable detection used in cable engineering also includes: a simulated load unit, which sends simulated load information to a signal acquisition module, and the signal acquisition module performs preliminary processing on the simulated load information and then sends it to a data integration module.

[0007] Furthermore, the signal acquisition module includes a temperature detection unit, a stress detection unit, an insulation detection unit and a conductivity detection unit, and the temperature detection unit, stress detection unit, insulation detection unit and conductivity detection unit respectively send temperature signals, stress signals, insulation signals and conductivity signals to the data integration module for processing.

[0008] Furthermore, the environment adaptation module includes a humidity adjustment unit and a vibration compensation unit, and the humidity adjustment unit and the vibration compensation unit respectively send a humidity compensation signal and a vibration compensation signal to the data integration module for processing.

[0009] Furthermore, the order in which the data integration module processes information is the signal acquisition module, the environment adaptation module and the abnormality analysis module.

[0010] Furthermore, the signal acquisition module sends the collected original signal to the data integration module, and the data integration module transmits the processed signal to the self-test unit, and the self-test unit is provided with a signal threshold range.

[0011] Furthermore, the feedback module includes a display panel and an audible and visual alarm unit. The display panel adopts a liquid crystal display screen. The display panel and the audible and visual alarm unit receive the recorded information transmitted by the storage unit.

[0012] Furthermore, the temperature detection unit is installed in contact with the cable surface through a thermistor, and both ends of the thermistor are connected to the input port of the signal acquisition module through wires; the stress detection unit uses a piezoelectric ceramic piece, which is fixed to the outside of the cable through an elastic bracket and connected to the input port of the signal acquisition module through a signal line; the insulation detection unit is in contact with the cable insulation layer through a high-impedance probe, and the high-impedance probe is connected to the input port of the signal acquisition module through a shielded wire; the conductivity detection unit is coupled to the cable conductor through a current transformer, and the output end of the current transformer is connected to the input port of the signal acquisition module through a signal line.

[0013] Furthermore, the humidity adjustment unit includes a humidity sensor and a micro-heating plate. The humidity sensor is fixed to the inner wall of the sensor housing by bolts, and the micro-heating plate is adhered to the bottom of the sensor housing by thermal conductive silicone and is connected to the output port of the environmental adaptation module through a control circuit; the vibration compensation unit includes an acceleration sensor and a shock-absorbing spring. The acceleration sensor is fixed to the inside of the sensor housing by screws, and the shock-absorbing spring is sleeved on the outside of the sensor housing and connected to the output end of the acceleration sensor.

[0014] Furthermore, the abnormality analysis module includes a signal filtering unit and a pattern recognition unit. The signal filtering unit filters the noise of the received signal through a low-pass filtering circuit. The low-pass filtering circuit is composed of a capacitor and a resistor in series and is connected to the input port of the pattern recognition unit through a signal line; the pattern recognition unit extracts features of the filtered signal through an embedded processor and sends the extraction results to the data integration module.

[0015] Furthermore, the storage unit adopts a non-volatile memory chip, which is fixed on the circuit board by welding and connected to the output port of the data integration module through a data bus; the data bus includes an address line, a data line and a control line, the address line is responsible for transmitting storage address information, the data line is responsible for transmitting storage data information, and the control line is responsible for transmitting read and write control signals.

[0016] Furthermore, the self-test unit includes a signal comparison circuit and a fault indicator light. The signal comparison circuit is composed of an operational amplifier and a reference voltage source. The positive input terminal of the operational amplifier receives the signal transmitted by the data integration module, the negative input terminal is connected to the reference voltage source, and the output terminal is connected to the fault indicator light through a signal line; when the received signal exceeds the preset signal threshold range, the fault indicator light lights up.

[0017] Furthermore, the display panel in the feedback module is connected to the output port of the storage unit through a cable, and the cable includes multiple signal transmission lines, each signal transmission line corresponds to the driving signal of a pixel point; the sound and light alarm unit includes a buzzer and an LED light, the buzzer is connected to the output port of the storage unit through a relay, and the LED light is connected to the output port of the storage unit through a current-limiting resistor.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides an intelligent sensor for cable detection used in cable engineering, which comprehensively monitors the operating status of the cable through the temperature detection unit, stress detection unit, insulation detection unit, and conductivity detection unit in the signal acquisition module, improves the adaptability of the sensor in complex environments through the humidity adjustment unit and vibration compensation unit in the environmental adaptation module, and accurately analyzes the collected signals through the signal filtering unit and pattern recognition unit in the abnormality analysis module. The operating parameters of the cable are displayed in real time through the display panel, abnormal conditions are warned through the sound and light alarm unit, and the operating status of the sensor itself is monitored through the self-test unit, thereby ensuring the accuracy and reliability of the cable detection process, avoiding the risk of misjudgment due to environmental factors or equipment problems, and being able to quickly locate potential hidden dangers of the cable during the detection process, providing strong support for the safe operation of the cable project. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a block diagram of the overall architecture of an intelligent sensor for cable detection used in cable engineering;

[0020] Figure 2 This is a system architecture block diagram of an intelligent sensor for cable detection used in cable engineering, including a simulated load unit;

[0021] Figure 3This is a structural block diagram of a signal acquisition module for an intelligent sensor used for cable detection in cable engineering;

[0022] Figure 4 This is a structural block diagram of an environmental adaptation module for an intelligent sensor used for cable detection in cable engineering;

[0023] Figure 5 This is a structural block diagram of a self-test module of an intelligent sensor for cable detection used in cable engineering;

[0024] Figure 6 This is a structural block diagram of the feedback module of an intelligent sensor for cable detection used in cable engineering.

[0025] The accompanying drawings are marked as follows: 1. Signal acquisition module; 2. Data integration module; 3. Environmental adaptation module; 4. Abnormal analysis module; 5. Storage unit; 6. Feedback module; 7. Self-test module; 8. Simulated load unit; 9. Temperature detection unit; 10. Stress detection unit; 11. Insulation detection unit; 12. Conductivity detection unit. DETAILED DESCRIPTION

[0026] The present invention relates to an intelligent sensor for cable detection used in cable engineering. Figure 1 and attached Figure 2 For detailed description. Figure 1 As shown, the intelligent sensor includes a signal acquisition module 1, a data integration module 2, an environmental adaptation module 3, an anomaly analysis module 4, a storage unit 5, a feedback module 6, and a self-test module 7. Each module is connected via circuits to enable information transmission and processing. Furthermore, a simulated load unit 8 is included for sending simulated load information to the signal acquisition module 1 to verify the sensor's performance.

[0027] The signal acquisition module 1 is one of the core parts of the entire system, which contains a temperature detection unit 9, a stress detection unit 10, an insulation detection unit 11 and a conductive performance detection unit 12. Figure 2As shown, the temperature detection unit 9 is mounted in contact with the cable surface via a thermistor. Both ends of the thermistor are connected to the input port of the signal acquisition module 1 via wires, ensuring real-time detection of temperature changes on the cable surface. The stress detection unit 10 uses a piezoelectric ceramic disc as its core component. The piezoelectric ceramic disc is secured to the outside of the cable via an elastic bracket. One end of the elastic bracket is tightly attached to the cable's outer wall, and the other end is bolted to the inner wall of the sensor housing. The piezoelectric ceramic disc is connected to the input port of the signal acquisition module 1 via a signal line, used to detect changes in external stress on the cable. The insulation detection unit 11 contacts the cable insulation layer via a high-impedance probe. The high-impedance probe is connected to the input port of the signal acquisition module 1 via a shielded cable wrapped with a metal mesh to reduce external electromagnetic interference. The conductivity detection unit 12 is coupled to the cable conductor via a current transformer. The output of the current transformer is connected to the input port of the signal acquisition module 1 via a signal line, thereby monitoring the cable's conductivity. These four detection units transmit temperature, stress, insulation, and conductivity signals, respectively, to the signal acquisition module 1 for preliminary processing before sending them to the data integration module 2.

[0028] The data integration module 2 receives the original signal from the signal acquisition module 1 and processes the information from the environment adaptation module 3 and the abnormality analysis module 4 in a preset order. Figure 1 As shown, the environmental adaptation module 3 includes a humidity adjustment unit and a vibration compensation unit. The humidity adjustment unit consists of a humidity sensor and a micro-heating plate. The humidity sensor is fixed to the inner wall of the sensor housing by bolts. The micro-heating plate is adhered to the bottom of the sensor housing by thermally conductive silicone and is connected to the output port of the environmental adaptation module 3 through a control circuit. When the humidity sensor detects that the ambient humidity is too high, the control circuit will start the micro-heating plate to reduce the humidity inside the sensor, thereby ensuring the normal operation of the sensor in a high humidity environment. The vibration compensation unit includes an acceleration sensor and a shock-absorbing spring. The acceleration sensor is fixed to the inside of the sensor housing by screws, and the shock-absorbing spring is sleeved on the outside of the sensor housing and connected to the output end of the acceleration sensor. When the sensor is subjected to external vibration, the shock-absorbing spring can absorb part of the vibration energy. At the same time, the acceleration sensor transmits the vibration signal to the environmental adaptation module 3. The environmental adaptation module 3 sends the humidity compensation signal and the vibration compensation signal to the data integration module 2 for further processing.

[0029] The abnormality analysis module 4 includes a signal filtering unit and a pattern recognition unit. The signal filtering unit performs noise filtering on the received signal through a low-pass filter circuit. The low-pass filter circuit is composed of a capacitor and a resistor in series. One end of the capacitor is connected to the signal input end, and the other end is connected to the signal output end through a resistor. The signal output end is connected to the input port of the pattern recognition unit through a signal line. The pattern recognition unit uses an embedded processor to extract features from the filtered signal. The embedded processor analyzes the frequency, amplitude and other characteristics of the signal through a programmed algorithm and sends the extraction results to the data integration module 2. After the data integration module 2 summarizes all the received information, it transmits it to the storage unit 5 for recording, and at the same time sends the processed signal to the self-test module 7.

[0030] Storage unit 5 utilizes a nonvolatile memory chip, soldered to a circuit board and connected to the output port of data integration module 2 via a data bus. The data bus comprises address lines, data lines, and control lines. The address lines transmit storage address information, the data lines transmit storage data information, and the control lines transmit read and write control signals. Storage unit 5 transmits recorded information to feedback module 6, which includes a display panel and an audio and visual alarm unit. The display panel utilizes a liquid crystal display (LCD), which is connected to the output port of storage unit 5 via a cable. The cable comprises multiple signal transmission lines, each corresponding to a driving signal for a pixel. The audio and visual alarm unit comprises a buzzer and an LED light. The buzzer is connected to the output port of storage unit 5 via a relay, while the LED light is connected to the output port of storage unit 5 via a current-limiting resistor. When storage unit 5 detects an abnormality, it triggers the buzzer to sound an alarm and the LED light to illuminate, alerting the operator.

[0031] Self-test module 7 includes a signal comparison circuit and a fault indicator light. The signal comparison circuit consists of an operational amplifier and a reference voltage source. The operational amplifier's non-inverting input receives the signal transmitted by data integration module 2, its inverting input is connected to the reference voltage source, and its output is connected to the fault indicator light via a signal line. When the received signal exceeds a preset signal threshold, the operational amplifier outputs a high-level signal, and the fault indicator lightens, indicating a sensor fault.

[0032] In practical application, the intelligent sensor operates as follows: First, the temperature detection unit 9, stress detection unit 10, insulation detection unit 11, and conductivity detection unit 12 in the signal acquisition module 1 respectively collect the cable's temperature, stress, insulation, and conductivity signals and send these signals to the signal acquisition module 1 for preliminary processing. Subsequently, the signal acquisition module 1 sends the processed signals to the data integration module 2. Simultaneously, the humidity adjustment unit and vibration compensation unit in the environmental adaptation module 3 send humidity compensation signals and vibration compensation signals, respectively, to the data integration module 2. The data integration module 2 processes the information from the signal acquisition module 1, environmental adaptation module 3, and anomaly analysis module 4 in a predetermined order and transmits the aggregated information to the storage unit 5 for recording. The storage unit 5 transmits the recorded information to the feedback module 6. The display panel in the feedback module 6 displays the cable's operating parameters in real time, and the audio and visual alarm unit issues warnings of abnormal conditions based on instructions from the storage unit 5. Simultaneously, the data integration module 2 sends the processed signals to the self-test module 7. The self-test module 7 uses a signal comparison circuit to determine the signal threshold. If the signal exceeds a predetermined range, the fault indicator light illuminates to indicate a sensor failure. Through the above steps, the intelligent sensor can comprehensively monitor the operating status of the cable and maintain high detection accuracy and reliability in complex environments.

[0033] In order to better enable relevant personnel in this technical field to fully understand and implement the present invention, the specific implementation principle of the present invention is supplemented below with reference to a specific application scenario.

[0034] During the actual inspection process of the cable project, the intelligent sensor is first installed on the cable that needs to be monitored. The temperature detection unit 9 is in close contact with the cable surface through the thermistor. The thermistor produces a corresponding resistance change as the cable surface temperature changes. This change is converted into an electrical signal and transmitted to the signal acquisition module 1. At the same time, the piezoelectric ceramic piece in the stress detection unit 10 deforms when the cable is subjected to external stress, thereby outputting a voltage signal related to the stress magnitude, and sending it to the signal acquisition module 1 through the signal line. The insulation detection unit 11 contacts the cable insulation layer through a high-impedance probe. The probe can detect the resistance change of the insulation layer and convert this change into a signal and transmit it to the signal acquisition module 1. The conductivity detection unit 12 couples the current signal in the cable conductor through a current transformer, and after processing, it forms a signal reflecting the conductivity, which is also transmitted to the signal acquisition module 1. The above four units obtain the operating status information of the cable from different dimensions, and after preliminary processing, they are uniformly sent to the data integration module 2.

[0035] After the signal acquisition module 1 completes the initial data processing, the environmental adaptation module 3 begins to function. The humidity sensor in the humidity adjustment unit monitors the humidity level inside the sensor in real time. If the humidity is detected to be too high, the control circuit activates the micro-heating plate to reduce the humidity inside the sensor by heating, thereby ensuring that each detection unit can still operate normally in a high-humidity environment. The acceleration sensor in the vibration compensation unit detects the impact of external vibrations, and the shock-absorbing spring absorbs part of the vibration energy. At the same time, the acceleration sensor transmits the vibration signal to the environmental adaptation module 3. After processing, a vibration compensation signal is generated and sent to the data integration module 2. These compensation signals enter the data integration module 2 together with the original signals and are processed in sequence according to a preset order to eliminate the interference of environmental factors on the detection results.

[0036] Subsequently, the abnormality analysis module 4 further processes the received signal. The low-pass filter circuit in the signal filtering unit, composed of capacitors and resistors, filters out high-frequency noise while retaining the low-frequency valid signal, thereby improving the signal-to-noise ratio. The embedded processor in the pattern recognition unit extracts features from the filtered signal, analyzes the signal's frequency, amplitude, and other parameters using a programmed algorithm, and sends the extracted results to the data integration module 2. The data integration module 2 summarizes all received information and transmits it to the storage unit 5 for recording. At the same time, the processed signal is sent to the self-test module 7.

[0037] Storage unit 5 utilizes a nonvolatile memory chip and is connected to the output port of data integration module 2 via a data bus. Address lines transmit storage address information, data lines transmit stored data information, and control lines transmit read and write control signals. Storage unit 5 transmits the recorded information to feedback module 6. The display panel in feedback module 6 is connected to the output port of storage unit 5 via a cable. Each signal transmission line corresponds to a drive signal for a pixel, thereby displaying the cable's operating parameters in real time. When storage unit 5 detects an abnormality, it triggers a buzzer in the audio-visual alarm unit to sound an alarm and illuminates an LED, alerting the operator to take immediate action.

[0038] Simultaneously, self-test module 7 uses a signal comparison circuit to determine the signal threshold. The operational amplifier's non-inverting input receives the signal transmitted by data integration module 2, while its inverting input is connected to a reference voltage source. If the received signal exceeds a preset range, the operational amplifier outputs a high-level signal, illuminating the fault indicator light to indicate a sensor fault. Through these steps, the intelligent sensor can maintain high detection accuracy and reliability even in complex environments.

[0039] In summary, this intelligent sensor achieves comprehensive monitoring of the cable's operating status through the collaborative operation of multiple modules. The multiple detection units in the signal acquisition module 1 acquire data from four aspects: temperature, stress, insulation, and conductivity. The environmental adaptation module 3 improves the sensor's environmental adaptability through humidity regulation and vibration compensation. The anomaly analysis module 4 ensures data accuracy through signal filtering and pattern recognition. The storage unit 5 and feedback module 6 enable data recording and visualization, and the self-test module 7 further ensures the sensor's reliability. Through this series of technical means, the intelligent sensor can quickly locate potential cable hazards, providing strong support for the safe operation of cable projects.

[0040] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent sensor for cable detection in cable engineering, characterized in that: include: Signal acquisition module (1), data integration module (2), environment adaptation module (3), abnormality analysis module (4), storage unit (5), feedback module (6) and self-checking module (7); The signal acquisition module (1), the environment adaptation module (3) and the abnormality analysis module (4) send the collected or processed information to the data integration module (2) for aggregation, the data integration module (2) transmits the aggregated information to the storage unit (5) for recording, and the storage unit (5) transmits the recorded information to the feedback module (6); The data integration module (2) transmits the aggregated information to the self-checking module (7).

2. The intelligent sensor (100) for cable detection used in cable engineering according to claim 1, characterized in that: It also includes a simulated load unit (8), which sends simulated load information to the signal acquisition module (1), and the signal acquisition module (1) performs preliminary processing on the simulated load information and then sends it to the data integration module (2).

3. The intelligent sensor (100) for cable detection used in cable engineering according to claim 1, characterized in that: The signal acquisition module (1) comprises: a temperature detection unit (9), a stress detection unit (10), an insulation detection unit (11) and a conductivity detection unit (12); the temperature detection unit (9), the stress detection unit (10), the insulation detection unit (11) and the conductivity detection unit (12) respectively send a temperature signal, a stress signal, an insulation signal and a conductivity signal to the data integration module (2) for processing.

4. The intelligent sensor (100) for cable detection used in cable engineering according to claim 1, characterized in that: The environmental adaptation module (3) comprises: a humidity adjustment unit and a vibration compensation unit, wherein the humidity adjustment unit and the vibration compensation unit respectively send a humidity compensation signal and a vibration compensation signal to the data integration module (2) for processing.

5. The intelligent sensor (100) for cable detection used in cable engineering according to claim 1, characterized in that: The order in which the data integration module (2) processes information is the signal acquisition module (1), the environment adaptation module (3) and the abnormality analysis module (4).

6. The intelligent sensor (100) for cable detection used in cable engineering according to claim 1, characterized in that: The self-test module (7) comprises: a signal comparison circuit and a fault indicator light. The signal comparison circuit is composed of an operational amplifier and a reference voltage source. The operational amplifier has a positive input terminal that receives a signal transmitted by the data integration module (2), an inverting input terminal that is connected to the reference voltage source, and an output terminal that is connected to the fault indicator light via a signal line.

7. The intelligent sensor (100) for cable detection used in cable engineering according to claim 1, characterized in that: The feedback module (6) comprises: a display panel and an audible and visual alarm unit, wherein the display panel adopts a liquid crystal display screen and is connected to the output port of the storage unit (5) via a flat cable, and the audible and visual alarm unit comprises a buzzer and an LED light, wherein the buzzer is connected to the output port of the storage unit (5) via a relay, and the LED light is connected to the output port of the storage unit (5) via a current-limiting resistor.

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