Multi-parameter monitoring and early warning system for operation condition of transmission device of motor speed reducer

Abstract

The invention relates to a multi-parameter monitoring and early warning system for the operation condition of a motor speed reducer transmission device. The multi-parameter monitoring and early warning system comprises a parameter acquisition unit, an anti-interference module, a remote I / O module, an industrial local area network and a computer terminal. The operation condition of the motor reducer transmission device can be monitored, hidden dangers can be found in the first time, shutdown accidents caused by faults due to the fact that the hidden dangers are expanded are avoided, and production stability can be effectively guaranteed.

Description

Technical Field

[0001] This patent application belongs to the field of measurement and control technology in the electromechanical industry, and more specifically, it relates to a multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device. Background Art

[0002] Since the reform and opening up, China's industrial strength has been rapidly improved, and the industrial economy has entered a period of rapid development. A series of world-renowned achievements have gradually made China a "world manufacturing center". Looking back, rapid industrialization, rapid urbanization and industrial modernization are important characteristics of China's industrial development. The rapid development of industry and rapid urbanization are inseparable from the demand for electricity. Motors are indispensable as the main equipment for generating electricity and power. Motor reducers are the most common power output devices in all walks of life and are also the most common. They are especially important for industrial production and development. The quality of their operating conditions is particularly important, and directly determines whether a set of equipment or systems can work normally.

[0003] However, people often fail to properly inspect and maintain the motor reducer transmission device in production and life, which affects production and causes great losses. Therefore, it is particularly important to measure various parameters of the motor reducer transmission device during operation, such as current, voltage, temperature, vibration and other data. At present, manual inspection or intuitive observation, or regular manual inspection with handheld instruments and tools are more commonly used. The disadvantage is that the inspection results are unstable due to human factors, and the inspection cycle interval is long, and there is data missing in the middle. If a fault occurs between two inspections and cannot be discovered in time, it will affect production. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device, which can timely monitor abnormal conditions of the motor reducer transmission device and issue an alarm, reminding the staff to arrange inspection and maintenance in time, thereby solving the problems described in the background technology.

[0005] In order to solve the above problems, the technical solution adopted by the present invention is: A multi-parameter monitoring and early warning system for the operation status of a motor reducer transmission device, including a parameter acquisition unit, an anti-interference module, a remote I / O module, an industrial local area network, and a computer terminal; The parameter acquisition unit is connected to the motor reducer transmission device, and the parameters acquired by the parameter acquisition unit include but are not limited to the motor voltage, motor current, motor temperature, motor shaft vibration value, reducer high-speed shaft vibration value, reducer low-speed shaft vibration value, and reducer oil temperature; The anti-interference module is connected to the parameter acquisition unit through a signal line, and is used to perform anti-interference processing on the parameters acquired by the parameter acquisition unit; The remote I / O module is connected to the anti-interference module through a signal line, which is used to transmit parameter signals; The industrial LAN is connected to the remote I / O module via a network cable; The computer terminal reads the parameter signal transmitted through the industrial LAN, and processes and calculates the above parameter signal. When the collected signal reaches the set warning value, an alarm is issued.

[0006] Furthermore, the parameter acquisition unit includes an ammeter, a voltmeter, a vibration sensor, a temperature sensor, and a liquid level sensor connected to the motor reducer transmission device.

[0007] Furthermore, the computer terminal continuously monitors the operating status of the motor reducer transmission device and generates charts to analyze and evaluate its working conditions.

[0008] Furthermore, the chart includes a curve chart or a line chart for intuitively displaying the operation status of the motor.

[0009] Furthermore, the anti-interference module is a wireless anti-interference module.

[0010] Furthermore, the computer terminal analyzes and processes the parameter signal through the LSTM model.

[0011] Furthermore, the anti-interference module is an ultrasonic anti-interference module.

[0012] Due to the adoption of the above technical solution, the beneficial effects achieved by the present invention are: The present invention provides a multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device, realizes the remote collection of on-site operating status monitoring signals, realizes the function of fault early warning, can continuously monitor the operating status of the motor reducer transmission device, and can analyze and evaluate its working status based on the generated curve graph. For equipment with dual power systems, automatic switching can be achieved to avoid affecting production. At the same time, the unstable factors of manual inspection are eliminated, the risk of idle periods in the middle of the inspection cycle is eliminated, efficiency is improved, and labor is saved. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of the present invention.

[0014] Figure 2 This is the operating temperature curve of the motor of the present invention. DETAILED DESCRIPTION

[0015] The present invention is further described in detail below with reference to the embodiments.

[0016] The present invention is a multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device, such as Figure 1, including a parameter acquisition unit, which is connected to the motor reducer transmission device. The parameters acquired by the parameter acquisition unit include but are not limited to motor voltage, motor current, motor temperature, motor shaft vibration value, reducer high-speed shaft vibration value, reducer low-speed shaft vibration value, reducer oil temperature. The specific components are ammeters, voltmeters, vibration sensors, temperature sensors, liquid level sensors, etc. that are installed on-site and connected to the motor reducer transmission device.

[0017] In addition, it also includes the computer terminal, anti-interference module, remote I / O module and industrial LAN in the central control (monitoring) room. The ammeter, voltmeter, vibration sensor, temperature sensor, liquid level sensor, etc. at the motor reducer transmission device site are connected to the anti-interference module through signal lines to perform anti-interference processing on the parameters obtained by the parameter acquisition unit. The anti-interference module then transmits the parameter signal to the remote I / O module through the signal line. Then the remote I / O module enters the industrial LAN through the network cable, realizing the interference-free collection of the on-site operating status signal of the motor reducer transmission device.

[0018] The computer terminals in the central control room (monitoring room) are pre-installed with signal acquisition and processing software. The computers in the central control room (monitoring room) read the parameter signals transmitted through the industrial LAN, store, calculate and analyze the above parameter signals. When the collected signals reach the set warning value, an alarm is issued. The continuous signal can also be converted into a curve of continuous change in time, which is convenient for analyzing the operating status of the equipment and the influence of external interference factors, and convenient for staff to check, confirm and arrange maintenance. For some key equipment with dual power systems, the power system can be directly switched through computer control to avoid affecting production.

[0019] The computer terminal continuously monitors the operating status of the motor reducer transmission device and generates charts to analyze and evaluate its working status. The charts include curve charts or line charts to intuitively display the operating status of the motor, such as Figure 2 The operating temperature curve of the motor shows the relationship between the operating time and the motor temperature.

[0020] By adding an anti-interference module to reduce the interference of environmental factors on the signal, existing mature and stable products on the market can be selected. For example, the anti-interference module can be a wireless anti-interference module as long as it can meet the anti-interference function.

[0021] The computer terminal program processes and calculates the signal, and sets the warning value to realize the alarm of exceeding the set value. It analyzes and processes the signal by establishing an LSTM model, as shown in the following example: import numpy as np import pandas as pd import tensorflow as tf from tensorflow.keras.models import Sequential from tensorflow.keras.layers import LSTM,Dense,Dropout # Assuming you have a csv file containing sensor data data = pd.read_csv('sensor_data.csv') # Preprocess the data def preprocess_data(data, n_steps): x,y = [].[] for i in range(len(data) - n_steps): x.append(data[i:i+ n_steps]) y.append(data[i + n_steps]) return np.array(X), np.array(y) # Set the time step n_steps = 50 x, y = preprocess_data(data['temperature'].values,n_steps) # Reshape data to fit LSTM input x = x.reshape((x.shape[0], x.shape[1], 1)) # Build LSTM model model = Sequential() model.add(LSTM(50, return_sequences=True,input_shape=(n_steps,1))) model.add(Dropout(0.2)) model.add(LSTM(50, return_sequences=False)) model.add(Dropout(0.2)) model.add(Dense(1)) model.compile(optimizer='adan', loss='mean_squared_error ') # Train the model model.fit(x,y, epochs=20, batch_size=32,validation_split=0.2) #predict predictions = model.predict(X[-n_steps:]) print(predictions) Take transmission temperature monitoring as an example: the computer processes and analyzes the temperature sensor data to determine the temperature status of the transmission mechanism, which usually includes the following steps: 1) Data acquisition: The temperature sensor collects the temperature data of the transmission mechanism and transmits it to the computer terminal or PLC.

[0022] 2) Data preprocessing: Preprocess the raw data, such as filtering and denoising, to reduce interference and improve data quality.

[0023] 3) Feature extraction: Extract key features from the preprocessed data, such as average temperature, temperature change rate, and temperature peak value.

[0024] 4) Model building: Use machine learning or deep learning algorithms (such as convolutional neural networks (CNN) or long short-term memory (LSTM)) to build prediction models.

[0025] 5) Model training: Use historical data to train the model so that it can accurately predict and monitor temperature changes.

[0026] 6) Real-time monitoring: Use the trained model to analyze real-time data, monitor the temperature status of the transmission mechanism, and detect abnormalities in a timely manner.

[0027] 7) Alarm system: Set the temperature threshold. When the temperature exceeds the preset range, the alarm is triggered and the abnormal situation is recorded.

[0028] 8) Data visualization: The analysis results are displayed in the form of charts or reports, so that users can intuitively understand the temperature status of the transmission mechanism.

[0029] Using Python and deep learning libraries, a model was built to process and analyze sensor data to determine the temperature status of the transmission mechanism.

[0030] In summary, the present invention realizes the remote collection of on-site operation status monitoring signals, realizes the function of fault warning, can continuously monitor the operation status of the motor reducer transmission device, and can analyze and evaluate its working status based on the generated curve chart. For equipment with dual power systems, automatic switching can be achieved to avoid affecting production. At the same time, it eliminates the unstable factors of manual inspection, eliminates the risk of idle periods in the inspection cycle, improves efficiency, and saves labor.

[0031] The above description is a preferred feasible embodiment of the present invention, which does not limit the scope of rights of the present invention. All equivalent changes made by using the contents of the description and drawings of the present invention are included in the scope of rights of the present invention.

Claims

1. A multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device, characterized in that: Including parameter acquisition unit, anti-interference module, remote I / O module, industrial LAN, computer terminal; The parameter acquisition unit is connected to the motor reducer transmission device, and the parameters acquired by the parameter acquisition unit include but are not limited to the motor voltage, motor current, motor temperature, motor shaft vibration value, reducer high-speed shaft vibration value, reducer low-speed shaft vibration value, and reducer oil temperature; The anti-interference module is connected to the parameter acquisition unit through a signal line, and is used to perform anti-interference processing on the parameters acquired by the parameter acquisition unit; The remote I / O module is connected to the anti-interference module through a signal line, which is used to transmit parameter signals; The industrial LAN is connected to the remote I / O module via a network cable; The computer terminal reads the parameter signal transmitted through the industrial LAN, and processes and calculates the above parameter signal. When the collected signal reaches the set warning value, an alarm is issued.

2. A multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device according to claim 1, characterized in that: The parameter acquisition unit includes an ammeter, a voltmeter, a vibration sensor, a temperature sensor, and a liquid level sensor connected to the motor reducer transmission device.

3. A multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device according to claim 2, characterized in that: The computer terminal continuously monitors the operating status of the motor reducer transmission device and generates charts to analyze and evaluate its working conditions.

4. A multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device according to claim 3, characterized in that: The chart includes a curve chart or a line chart to visually display the operation status of the motor.

5. The multi-parameter monitoring and early warning system for the operation status of a motor reducer transmission device according to claim 1, characterized in that: The anti-interference module is a wireless anti-interference module.

6. A multi-parameter monitoring and early warning system for the operation status of a motor reducer transmission device according to any one of claims 1 to 5, characterized in that: The computer terminal analyzes and processes the parameter signal through the LSTM model.

7. A multi-parameter monitoring and early warning system for the operating status of a motor reducer transmission device according to claim 6, characterized in that: The anti-interference module is an ultrasonic anti-interference module.

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