A gate for implementing self-diagnostic data acquisition

Abstract

The utility model belongs to hydraulic engineering equipment technical field provides a gate for realizing self -diagnosis data collection, including gate board, guide rail located gate board both sides and including fixed hoist type hoist that drives motor still include setting on the gate monitoring data acquisition unit, monitoring data acquisition unit includes the stress monitoring data module of installation in the gate board span, installs the vibration monitoring data module in drive motor end, guide rail junction, installs the deformation monitoring data module in the top of gate board both sides, installs the inclination monitoring data module on the gate top central crossbeam, installs the abrasion monitoring data module of gate board and guide rail contact end face, and installs the corrosion monitoring data module on the surface of gate body metal frame. The utility model can collect the key parameter that reflects the gate structure health and operating condition comprehensively, real -time, solves the problem that traditional monitoring data is single and provides solid data basis for implementation self -diagnosis.

Description

Technical Field

[0001] This utility model belongs to the field of water conservancy engineering equipment technology, specifically, it relates to a gate for realizing self-diagnostic data acquisition. Background Technology

[0002] Traditional gate fault detection mainly relies on regular manual inspections, which suffers from long inspection cycles (typically 1-3 months / time) and delayed fault detection (e.g., difficulty in detecting hidden corrosion and fine stress cracks). To address these technical issues, some manufacturers have researched online monitoring systems, primarily involving installing sensors on the gate to collect monitoring data. However, this data collection suffers from limitations, often focusing only on single-type faults like vibration or wear, failing to cover critical failure risks such as stress fatigue and tilting deviation. For example, Chinese patent CN217111368U discloses an online monitoring device for the status of a hydropower station gate, which uses an tilt sensor to monitor the deflection angle in real time; Chinese patent CN218584183U discloses a gate turbulent vibration early warning monitoring device, which directly monitors the gate's vibration through a monitoring chip installed inside the gate. Furthermore, in existing technologies, the placement of sensor measuring points also has certain deviations, leading to errors in the sensor data collection and affecting the accuracy of self-diagnosis. Utility Model Content

[0003] The purpose of this invention is to provide a gate for realizing self-diagnostic data acquisition, so as to solve the technical problems existing in the prior art.

[0004] To achieve the above objectives, the technical solution adopted by this utility model is as follows:

[0005] A gate for self-diagnostic data acquisition includes a gate plate, guide rails on both sides of the gate plate, and a fixed winch-type hoist for controlling the raising and lowering of the gate plate. The fixed winch-type hoist includes a drive motor and a monitoring data acquisition unit installed on the gate. The monitoring data acquisition unit includes a stress monitoring data module installed in the middle of the gate plate span, a vibration monitoring data module installed at the drive motor end and the guide rail connection, a deformation monitoring data module installed on the top of both sides of the gate plate, an inclination monitoring data module installed on the central crossbeam of the gate top, a wear monitoring data module installed on the contact surface between the gate plate and the guide rail, and a corrosion monitoring data module installed on the surface of the gate body metal frame.

[0006] Preferably, the stress monitoring data module uses distributed fiber optic strain gauges to collect strain values, and includes a first distributed fiber optic strain gauge, a second distributed fiber optic strain gauge, and a third distributed fiber optic strain gauge arranged at intervals along the height direction of the gate.

[0007] Preferably, the vibration monitoring data module uses a triaxial accelerometer to collect vibration frequency and amplitude data. It includes a first triaxial accelerometer installed at the drive motor end, a second triaxial accelerometer and a third triaxial accelerometer installed on both sides of the upper part of the guide rail connection, and a fourth triaxial accelerometer and a fifth triaxial accelerometer installed on both sides of the lower part of the guide rail connection.

[0008] Preferably, the deformation monitoring data module uses a laser displacement sensor to collect data on lateral / longitudinal deformation. It includes a first laser displacement sensor installed on the top left side of the gate and a second laser displacement sensor installed on the top right side.

[0009] Preferably, the tilt monitoring data module uses a dual-axis tilt sensor to collect tilt angle data.

[0010] Preferably, the wear monitoring data module uses a wear-resistant coating impedance sensor, and the collected data is the coating impedance value. It includes a first wear-resistant coating impedance sensor installed on the left contact end face of the gate and the guide rail and a second wear-resistant coating impedance sensor installed on the right contact end face.

[0011] Preferably, the corrosion monitoring data module uses an electromagnetic induction sensor and a humidity sensor to collect data on magnetic induction intensity and ambient humidity. It includes a first electromagnetic induction sensor and a first humidity sensor installed on the upper surface of the gate's metal frame, and a second electromagnetic induction sensor and a second humidity sensor installed on the lower surface of the gate's metal frame.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] (1) By integrating multi-dimensional monitoring data modules such as stress, vibration, deformation, tilt, wear and corrosion, this utility model can comprehensively and in real time collect key parameters reflecting the structural health and operating status of the gate, solve the problem of single traditional monitoring data, and provide a solid data foundation for implementing self-diagnosis with more comprehensive status data.

[0014] (2) The selection of each sensor and the arrangement of measuring points in this utility model are innovative. For example, the distributed fiber strain gauge can accurately capture the stress distribution in the middle of the gate and evaluate the structural strength; the layout of the triaxial acceleration sensor can accurately locate the abnormal vibration source; the wear-resistant coating impedance sensor directly measures the impedance change of the wear interface, which can more directly and accurately evaluate the amount of wear and avoid the error of indirect measurement, thereby greatly improving the accuracy and reliability of fault diagnosis. Attached Figure Description

[0015] Figure 1 This is a schematic diagram showing the arrangement of measuring points on the gate in this utility model.

[0016] The component names corresponding to the reference numerals in the attached drawings are as follows: 1-gate, 2-guide rail, 3-drive motor, 4-base, 5-central crossbeam of the gate top, 9-dual-axis tilt sensor;

[0017] 61-First distributed fiber optic strain gauge, 62-Second distributed fiber optic strain gauge, 63-Third distributed fiber optic strain gauge;

[0018] 71-First triaxial accelerometer, 72-Second triaxial accelerometer, 73-Third triaxial accelerometer, 74-Fourth triaxial accelerometer, 75-Fifth triaxial accelerometer;

[0019] 81 - First laser displacement sensor; 82 - Second laser displacement sensor;

[0020] 101 - First wear-resistant coating impedance sensor, 102 - Second wear-resistant coating impedance sensor;

[0021] 111-First electromagnetic induction sensor, 112-Second electromagnetic induction sensor, 121-First humidity sensor, 122-Second humidity sensor. Detailed Implementation

[0022] To enable those skilled in the art to have a clearer understanding of this utility model, the following detailed description is provided in conjunction with embodiments. It should be understood that the specific embodiments described below are merely illustrative of this utility model and facilitate understanding. The technical solutions provided by this utility model are not limited to those provided in the following embodiments, nor should they limit the scope of protection of this utility model.

[0023] Example

[0024] like Figure 1 As shown in the figure, this embodiment provides a gate for realizing self-diagnostic data acquisition. Its core lies in the integration of multiple sensor modules, which can collect various status data of key parts of the gate in real time and online, providing comprehensive data support for the gate's health diagnosis, predictive maintenance and safe operation.

[0025] In this embodiment, the main structure of the gate mainly includes a gate plate 1, a guide rail 2, a fixed winch-type hoist, and a monitoring data acquisition unit installed on the main structure of the gate. The guide rail is located on both sides of the gate plate 1 and is used to guide and limit the raising and lowering of the gate plate 1. Guide rails 2 are installed on bases 4 on both sides. The two sides of the gate plate 1 are embedded in the guide rails 2 and can move up and down relative to the guide rails 2. The fixed winch hoist can be installed on the central crossbeam of the gate top through the support base. It includes a drive motor (winch motor), drum, wire rope and other structures. The drive motor 3 is located at the mounting end on one side of the central crossbeam of the gate top. At the same time, a reducer and a transmission shaft can be configured. The drum is set in the middle position on the central crossbeam of the gate top. The reducer is connected to the drum. The reducer converts the high speed of the motor into high torque to drive the drum to rotate. The transmission shaft connects the motor and the reducer (based on the coupling connection) to transmit power. The drum and wire rope of the fixed winch hoist are connected to the gate through the lifting lug (set in the middle of the upper end of the gate) to perform the lifting and lowering of the gate. The drive motor 3 provides power and is connected to an external power source. The drive motor 3 drives the gate to lift and lower through the drum and wire rope structure. This is the conventional driving method for opening and closing the gate.

[0026] The gate is also equipped with a complete monitoring data acquisition unit. This unit consists of multiple sensor modules with different functions, which monitor data for different failure modes of the gate. Specifically, these include:

[0027] Stress monitoring data module: This module is used to monitor the stress and strain generated by the gate 1 under water pressure load, which is crucial for evaluating the structural strength of the gate. In this embodiment, the stress monitoring data module uses distributed fiber optic strain gauges. Specifically, the distributed fiber optic strain gauges include a first distributed fiber optic strain gauge 61, a second distributed fiber optic strain gauge 62, and a third distributed fiber optic strain gauge 63 arranged at intervals along the height direction of the gate 1 (i.e., the main stress direction). This arrangement can capture the strain distribution at different heights of the gate, comprehensively reflecting the stress state of the gate. The distributed fiber optic strain gauges are firmly attached to the mid-span position of the gate 1 (i.e., the area of ​​maximum stress) with a special adhesive, and the data they collect is micro-strain values ​​(με), which can be converted into stress values ​​through demodulation equipment.

[0028] Vibration Monitoring Data Module: This module monitors the mechanical vibration of the drive motor 3 during operation and abnormal vibrations at the connection points of the guide rails 2, thereby diagnosing faults such as motor bearing wear, rotor imbalance, guide rail misalignment, or loose fasteners. The vibration monitoring data module uses triaxial accelerometers. Its specific installation layout is as follows: The first triaxial accelerometer 71 is fixedly mounted on the non-drive end housing of the drive motor 3 via a magnetic base or bolts, used to collect the vibration signals of the motor itself. The second and third triaxial accelerometers 72 and 73 are respectively bolted to the upper connections between the left and right guide rails 2 and the foundation embedded parts. The fourth and fifth triaxial accelerometers 74 and 75 are respectively bolted to the lower connections between the left and right guide rails 2 and the foundation embedded parts. The data collected by these sensors are vibration frequency and amplitude. By analyzing the spectrum and trends of these data, early warning and location of faults can be effectively achieved.

[0029] Deformation Monitoring Data Module: This module is used to monitor the residual or elastic deformation that may occur in the gate under long-term load. The deformation monitoring data module employs laser displacement sensors. Specifically, it includes a first laser displacement sensor 81 and a second laser displacement sensor 82. The first laser displacement sensor 81 is mounted on the gate pier or fixed structure via a bracket, aligned with a measurement reference point on the top left side of the gate plate 1; the second laser displacement sensor 82 is mounted in the same manner, aligned with a measurement reference point on the top right side of the gate plate 1. The data they collect is the lateral or longitudinal deformation (displacement) of the top of the gate plate relative to the fixed reference point, effectively monitoring the overall deformation of the gate.

[0030] Tilt Monitoring Data Module: This module monitors whether the gate as a whole or the gate top structure is tilted, which is crucial for ensuring the gate's vertical lifting and lowering and preventing jamming. The tilt monitoring data module uses a dual-axis tilt sensor 9. This dual-axis tilt sensor 9 is bolted to the center of the upper surface of the central crossbeam 5 on the gate top. It collects data on the tilt angles (unit: ° or rad) around the X and Y axes, reflecting the gate's verticality status in real time.

[0031] Wear Monitoring Data Module: This module monitors the wear condition of the contact surfaces between the gate 1 and the guide rail 2, which is the most common form of mechanical wear on gates. The wear monitoring data module uses a wear-resistant coating impedance sensor. Its working principle is as follows: a special conductive wear-resistant coating is pre-coated onto the contact surfaces between the gate and the guide rail. The sensor's probe contacts this coating. As wear progresses, the coating thickness decreases, and its resistance (impedance) changes linearly. This module includes a first wear-resistant coating impedance sensor 101 and a second wear-resistant coating impedance sensor 102, which are embedded in the left and right contact surfaces of the gate and the guide rail, respectively. The data collected is the coating impedance value, which can be converted into wear thickness through calibration.

[0032] Corrosion Monitoring Data Module: This module monitors the corrosion status and ambient humidity of the gate's metal frame surface to prevent structural weakening and strength reduction caused by corrosion. The corrosion monitoring data module employs a combination of electromagnetic induction sensors and humidity sensors. The electromagnetic induction sensors operate on the principle of eddy current effect; corrosion of the metal substrate (material change) causes a change in the magnetic induction intensity of the sensor's induction coil. This module includes a first electromagnetic induction sensor 111 and a second electromagnetic induction sensor 112, which are respectively installed on the upper and lower surfaces of the gate's metal frame via clamps or adhesive bonding (the lower surface is more susceptible to water contact and has a higher risk of corrosion). The humidity sensors monitor the air humidity around the sensor installation points. High humidity is a significant factor accelerating corrosion. These include a first humidity sensor 121 and a second humidity sensor 122, which are installed close to the first electromagnetic induction sensor 111 and the second electromagnetic induction sensor 112, forming a monitoring group. The module collects data on magnetic induction intensity and ambient humidity values; combining these two parameters allows for a more accurate assessment of the occurrence and development rate of corrosion.

[0033] The above embodiments are merely illustrative of the principles and effects of this utility model and are not intended to limit the scope of this utility model. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this utility model. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this utility model should still be covered by the claims of this utility model.

Claims

1. A gate for realizing self-diagnostic data acquisition, comprising a gate plate (1), guide rails (2) located on both sides of the gate plate (1), and a fixed winch-type gate opener for controlling the lifting and lowering of the gate plate (1), wherein the fixed winch-type gate opener includes a drive motor (3), characterized in that: It also includes a monitoring data acquisition unit installed on the gate; the monitoring data acquisition unit includes a stress monitoring data module installed in the middle of the gate (1) span, a vibration monitoring data module installed at the drive motor end and the guide rail connection, a deformation monitoring data module installed on the top of both sides of the gate (1), an inclination monitoring data module installed on the central crossbeam (5) of the gate top, a wear monitoring data module installed on the contact end face between the gate and the guide rail, and a corrosion monitoring data module installed on the surface of the gate body metal frame.

2. The gate for realizing self-diagnostic data acquisition according to claim 1, characterized in that: The stress monitoring data module uses distributed fiber optic strain gauges to collect strain values. It includes a first distributed fiber optic strain gauge (61), a second distributed fiber optic strain gauge (62), and a third distributed fiber optic strain gauge (63) arranged at intervals along the height direction of the gate (1).

3. The gate for realizing self-diagnostic data acquisition according to claim 2, characterized in that: The vibration monitoring data module uses a triaxial accelerometer to collect vibration frequency and amplitude data. It includes a first triaxial accelerometer (71) installed at the drive motor end, a second triaxial accelerometer (72) and a third triaxial accelerometer (73) installed on both sides of the upper part of the guide rail connection, and a fourth triaxial accelerometer (74) and a fifth triaxial accelerometer (75) installed on both sides of the lower part of the guide rail connection.

4. The gate for realizing self-diagnostic data acquisition according to claim 3, characterized in that: The deformation monitoring data module uses a laser displacement sensor to collect data on lateral / longitudinal deformation. It includes a first laser displacement sensor (81) installed on the top left side of the gate (1) and a second laser displacement sensor (82) installed on the top right side.

5. The gate for realizing self-diagnostic data acquisition according to claim 4, characterized in that: The tilt monitoring data module uses a dual-axis tilt sensor (9) to collect tilt angle data.

6. The gate for realizing self-diagnostic data acquisition according to claim 5, characterized in that: The wear monitoring data module uses a wear-resistant coating impedance sensor to collect data as coating impedance values. It includes a first wear-resistant coating impedance sensor (101) installed on the left contact end face of the gate and the guide rail and a second wear-resistant coating impedance sensor (102) installed on the right contact end face.

7. The gate for realizing self-diagnostic data acquisition according to claim 6, characterized in that: The corrosion monitoring data module uses an electromagnetic induction sensor and a humidity sensor to collect data on magnetic induction intensity and ambient humidity. It includes a first electromagnetic induction sensor (111) and a first humidity sensor (121) installed on the upper surface of the gate metal frame, and a second electromagnetic induction sensor (112) and a second humidity sensor (122) installed on the lower surface of the gate metal frame.

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