Operation and maintenance device for road pantograph

Abstract

The invention discloses an operation and maintenance device for a road pantograph. The operation and maintenance device comprises a main control unit, a data acquisition module, a state monitoring module, a fault diagnosis module, a maintenance scheduling module and a data analysis module, the main control unit is used for coordinating work of all the modules and carrying out data processing and storage, the data acquisition module is used for obtaining operation parameters and environment information of the pantograph, the state monitoring module is used for tracking the working state of the pantograph in real time, and the fault diagnosis module is used for analyzing abnormal conditions and generating a fault report. And the maintenance scheduling module is used for distributing maintenance tasks and optimizing resource configuration. According to the operation and maintenance device for the road pantograph, the master control unit, the data acquisition module, the state monitoring module, the fault diagnosis module, the maintenance scheduling module and the data analysis module are integrated, so that operation and maintenance decisions of comprehensive monitoring, intelligent diagnosis, efficient maintenance scheduling and data driving of the pantograph are realized.

Description

Technical Field

[0001] This invention relates to the field of pantograph technology, and more specifically to a maintenance device for road pantographs. Background Technology

[0002] As a crucial charging facility for vehicles on electrified highways, the stable operation of road pantographs is essential for ensuring the normal operation of vehicles. However, existing pantograph maintenance systems suffer from the following problems: 1. Lack of comprehensive real-time monitoring capabilities, making it impossible to detect abnormal equipment status in a timely manner.

[0003] 2. Insufficient fault diagnosis capabilities, unable to quickly and accurately locate the cause of the fault.

[0004] 3. Low maintenance scheduling efficiency and inability to allocate maintenance resources reasonably result in long maintenance response times.

[0005] 4. Lacks data analysis capabilities, making it impossible to extract valuable information from historical data to support operational and maintenance decisions.

[0006] Based on the above, this invention proposes a maintenance device for road pantographs, which can effectively solve the above problems. Summary of the Invention

[0007] The purpose of this invention is to provide a maintenance device for road pantographs. This road pantograph maintenance device integrates a main control unit, a data acquisition module, a status monitoring module, a fault diagnosis module, a maintenance scheduling module, and a data analysis module, achieving comprehensive monitoring, intelligent diagnosis, efficient maintenance scheduling, and data-driven maintenance decision-making for the pantograph.

[0008] This invention is achieved through the following technical solution: A road pantograph maintenance device includes a main control unit, a data acquisition module, a status monitoring module, a fault diagnosis module, a maintenance scheduling module, and a data analysis module. The main control unit is used to coordinate the work of each module and perform data processing and storage. The data acquisition module is used to acquire the pantograph's operating parameters and environmental information. The status monitoring module is used to track the pantograph's working status in real time. The fault diagnosis module is used to analyze abnormal situations and generate fault reports. The maintenance scheduling module is used to allocate maintenance tasks and optimize resource allocation. The data analysis module is used to mine patterns in historical data to support decision-making. The main control unit is connected to the data acquisition module, status monitoring module, fault diagnosis module, maintenance scheduling module, and data analysis module through communication interfaces. The data acquisition module includes a sensor group, a signal conditioning circuit, and a data transmission unit. The sensor group is used to detect the electrical, mechanical, and environmental parameters of the pantograph. The signal conditioning circuit is used to filter and amplify the raw signals output by the sensors. The data transmission unit is used to send the processed signals to the main control unit. The sensor group is installed in key parts of the pantograph and connected to the signal conditioning circuit via wires. The signal conditioning circuit is fixed on the internal support of the pantograph and connected to the data transmission unit via a shielded cable. The data transmission unit establishes a connection with the main control unit through a wireless communication module.

[0009] The purpose of this invention is to provide a maintenance device for road pantographs. This road pantograph maintenance device integrates a main control unit, a data acquisition module, a status monitoring module, a fault diagnosis module, a maintenance scheduling module, and a data analysis module, achieving comprehensive monitoring, intelligent diagnosis, efficient maintenance scheduling, and data-driven maintenance decision-making for the pantograph.

[0010] Preferably, the main control unit includes a central processing unit (CPU), a memory, a communication module, and a human-machine interface (HMI). The CPU is used to perform data processing and logic control tasks. The memory is used to store operating data and system configuration information. The communication module is used to exchange data with other modules. The HMI is used to display device status and receive user commands. The CPU is connected to the memory and the communication module via a bus. The communication module communicates with the data acquisition module, status monitoring module, fault diagnosis module, maintenance scheduling module, and data analysis module via a wireless network. The HMI is connected to the CPU via a touch screen.

[0011] Preferably, the status monitoring module includes a current monitoring unit, a voltage monitoring unit, a temperature monitoring unit, and a vibration monitoring unit. The current monitoring unit measures the input and output current of the pantograph; the voltage monitoring unit measures the input and output voltage of the pantograph; the temperature monitoring unit detects the temperature rise of key components of the pantograph; and the vibration monitoring unit records the mechanical vibration characteristics of the pantograph during operation. The current monitoring unit acquires signals through a Hall effect sensor and transmits the signals to the main control unit. The voltage monitoring unit acquires signals through a voltage divider resistor network and transmits the signals to the main control unit. The temperature monitoring unit acquires signals through a thermistor and transmits the signals to the main control unit. The vibration monitoring unit acquires signals through an accelerometer and transmits the signals to the main control unit.

[0012] Preferably, the fault diagnosis module includes an anomaly detection unit, a fault classification unit, and a report generation unit. The anomaly detection unit is used to identify abnormal patterns in the operating data. The fault classification unit is used to determine the fault type based on the abnormal patterns. The report generation unit is used to organize fault information and generate a detailed fault report. The anomaly detection unit performs feature extraction and pattern matching on the operating data using machine learning algorithms. The fault classification unit classifies abnormal patterns using a preset rule base. The report generation unit generates a standardized fault report using a preset template.

[0013] Preferably, the maintenance scheduling module includes a task allocation unit, a route planning unit, and a resource management unit. The task allocation unit is used to allocate maintenance tasks according to the fault type and urgency. The route planning unit is used to calculate the optimal route for maintenance personnel to reach the site. The resource management unit is used to coordinate the tools and spare parts required for maintenance. The task allocation unit sorts maintenance tasks using a priority algorithm. The route planning unit generates the optimal route using map and navigation algorithms. The resource management unit queries and allocates maintenance resources through the inventory management system.

[0014] Preferably, the data analysis module includes a data cleaning unit, a data mining unit, and a prediction model unit. The data cleaning unit is used to remove noise and redundant information from the running data. The data mining unit is used to extract potential patterns and correlations from historical data. The prediction model unit is used to build a prediction model based on the extracted patterns and perform trend analysis. The data cleaning unit performs data preprocessing through statistical methods and filtering algorithms. The data mining unit extracts data value through cluster analysis and association rule mining. The prediction model unit performs trend prediction through time series analysis and regression analysis.

[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: 1. The road pantograph maintenance device of the present invention integrates a main control unit, a data acquisition module, a status monitoring module, a fault diagnosis module, a maintenance scheduling module, and a data analysis module, thereby realizing comprehensive monitoring, intelligent diagnosis, efficient maintenance scheduling, and data-driven maintenance decision-making for the pantograph.

[0016] 2. The design of the sensor group, signal conditioning circuit and data transmission unit of the data acquisition module ensures the accurate acquisition and transmission of operating parameters and environmental information.

[0017] 3. The status monitoring module has multiple monitoring units, providing real-time and comprehensive status tracking.

[0018] 4. The fault diagnosis module's anomaly detection, fault classification, and report generation functions enable rapid and accurate fault diagnosis.

[0019] 5. The task allocation, path planning, and resource management functions of the maintenance scheduling module improve maintenance efficiency and resource utilization efficiency.

[0020] 6. The data cleaning, mining, and prediction functions of the data analysis module provide data support for operation and maintenance decisions. Detailed Implementation

[0021] To enable those skilled in the art to better understand the technical solutions of the present invention, preferred embodiments of the present invention will be described below in conjunction with specific examples.

[0022] Example 1: This invention provides a maintenance device for road pantographs, including a main control unit, a data acquisition module, a status monitoring module, a fault diagnosis module, a maintenance scheduling module, and a data analysis module; The main control unit is used to coordinate the work of each module and perform data processing and storage. The data acquisition module is used to acquire the pantograph's operating parameters and environmental information. The status monitoring module is used to track the pantograph's working status in real time. The fault diagnosis module is used to analyze abnormal situations and generate fault reports. The maintenance scheduling module is used to allocate maintenance tasks and optimize resource allocation. The data analysis module is used to mine patterns in historical data to support decision-making. The main control unit is connected to the data acquisition module, status monitoring module, fault diagnosis module, maintenance scheduling module, and data analysis module through communication interfaces. The data acquisition module includes a sensor group, a signal conditioning circuit, and a data transmission unit. The sensor group is used to detect the electrical, mechanical, and environmental parameters of the pantograph. The signal conditioning circuit is used to filter and amplify the raw signals output by the sensors. The data transmission unit is used to send the processed signals to the main control unit. The sensor group is installed in key parts of the pantograph and connected to the signal conditioning circuit via wires. The signal conditioning circuit is fixed on the internal support of the pantograph and connected to the data transmission unit via a shielded cable. The data transmission unit establishes a connection with the main control unit through a wireless communication module.

[0023] Example 2: This invention provides a maintenance device for road pantographs, including a main control unit, a data acquisition module, a status monitoring module, a fault diagnosis module, a maintenance scheduling module, and a data analysis module; The main control unit is used to coordinate the work of each module and perform data processing and storage. The data acquisition module is used to acquire the pantograph's operating parameters and environmental information. The status monitoring module is used to track the pantograph's working status in real time. The fault diagnosis module is used to analyze abnormal situations and generate fault reports. The maintenance scheduling module is used to allocate maintenance tasks and optimize resource allocation. The data analysis module is used to mine patterns in historical data to support decision-making. The main control unit is connected to the data acquisition module, status monitoring module, fault diagnosis module, maintenance scheduling module, and data analysis module through communication interfaces. The data acquisition module includes a sensor group, a signal conditioning circuit, and a data transmission unit. The sensor group is used to detect the electrical, mechanical, and environmental parameters of the pantograph. The signal conditioning circuit is used to filter and amplify the raw signals output by the sensors. The data transmission unit is used to send the processed signals to the main control unit. The sensor group is installed in key parts of the pantograph and connected to the signal conditioning circuit via wires. The signal conditioning circuit is fixed on the internal support of the pantograph and connected to the data transmission unit via a shielded cable. The data transmission unit establishes a connection with the main control unit through a wireless communication module.

[0024] The main control unit includes a central processing unit (CPU), a memory, a communication module, and a human-machine interface (HMI). The CPU is used to perform data processing and logic control tasks. The memory is used to store operating data and system configuration information. The communication module is used to exchange data with other modules. The HMI is used to display device status and receive user commands. The CPU is connected to the memory and communication module via a bus. The communication module communicates with the data acquisition module, status monitoring module, fault diagnosis module, maintenance scheduling module, and data analysis module via a wireless network. The HMI is connected to the CPU via a touch screen.

[0025] The central processing unit, memory, communication module, and human-machine interface of the main control unit enable intelligent control and data processing of each module, improving the system's automation and intelligence levels. The communication module communicates with other modules via a wireless network, ensuring real-time data transmission and efficient system operation.

[0026] Furthermore, in another embodiment, the status monitoring module includes a current monitoring unit, a voltage monitoring unit, a temperature monitoring unit, and a vibration monitoring unit. The current monitoring unit is used to measure the input and output current of the pantograph; the voltage monitoring unit is used to measure the input and output voltage of the pantograph; the temperature monitoring unit is used to detect the temperature rise of key components of the pantograph; and the vibration monitoring unit is used to record the mechanical vibration characteristics of the pantograph during operation. The current monitoring unit acquires signals through a Hall effect sensor and transmits the signals to the main control unit; the voltage monitoring unit acquires signals through a voltage divider resistor network and transmits the signals to the main control unit; the temperature monitoring unit acquires signals through a thermistor and transmits the signals to the main control unit; and the vibration monitoring unit acquires signals through an accelerometer and transmits the signals to the main control unit.

[0027] The current monitoring unit, voltage monitoring unit, temperature monitoring unit, and vibration monitoring unit of the condition monitoring module are designed to provide comprehensive real-time condition tracking, ensuring the stability and safety of the equipment during operation.

[0028] Each monitoring unit acquires signals through different sensors, ensuring the accuracy and reliability of the measurements and providing accurate data support for fault diagnosis.

[0029] Furthermore, in another embodiment, the fault diagnosis module includes an anomaly detection unit, a fault classification unit, and a report generation unit. The anomaly detection unit is used to identify anomaly patterns in the operating data. The fault classification unit is used to determine the fault type based on the anomaly patterns. The report generation unit is used to organize fault information and generate a detailed fault report. The anomaly detection unit performs feature extraction and pattern matching on the operating data using machine learning algorithms. The fault classification unit classifies the anomaly patterns using a preset rule base. The report generation unit generates a standardized fault report using a preset template.

[0030] The fault diagnosis module's anomaly detection unit, fault classification unit, and report generation unit are designed to enable rapid and accurate fault diagnosis, thereby improving equipment reliability and operating efficiency.

[0031] The anomaly detection unit uses machine learning algorithms to extract features and match patterns from operational data, improving the accuracy and efficiency of fault diagnosis.

[0032] The report generation unit generates standardized fault reports using preset templates, enabling maintenance personnel to quickly understand the fault situation and take appropriate measures.

[0033] Furthermore, in another embodiment, the maintenance scheduling module includes a task allocation unit, a path planning unit, and a resource management unit. The task allocation unit is used to allocate maintenance tasks according to the fault type and urgency. The path planning unit is used to calculate the optimal path for maintenance personnel to reach the site. The resource management unit is used to coordinate the tools and spare parts required for maintenance. The task allocation unit sorts maintenance tasks using a priority algorithm. The path planning unit generates the optimal path using map and navigation algorithms. The resource management unit queries and allocates maintenance resources through the inventory management system.

[0034] The task allocation unit sorts maintenance tasks using a priority algorithm, the path planning unit generates the optimal path using map and navigation algorithms, and the resource management unit queries and allocates maintenance resources through the inventory management system, ensuring the efficient operation of maintenance work.

[0035] Furthermore, in another embodiment, the data analysis module includes a data cleaning unit, a data mining unit, and a prediction model unit. The data cleaning unit is used to remove noise and redundant information from the running data. The data mining unit is used to extract potential patterns and correlations from historical data. The prediction model unit is used to construct a prediction model based on the extracted patterns and perform trend analysis. The data cleaning unit performs data preprocessing through statistical methods and filtering algorithms. The data mining unit extracts data value through cluster analysis and association rule mining. The prediction model unit performs trend prediction through time series analysis and regression analysis.

[0036] The design of the data cleaning unit, data mining unit, and predictive model unit in the data analysis module provides data support for operation and maintenance decisions, improving the scientific nature and foresight of operation and maintenance.

[0037] The data cleaning unit performs data preprocessing through statistical methods and filtering algorithms, ensuring the quality and reliability of the data.

[0038] The data mining unit extracts data value through cluster analysis and association rule mining, while the prediction model unit predicts trends through time series analysis and regression analysis, providing a scientific basis for operation and maintenance decisions.

[0039] Based on the description of this invention, those skilled in the art can easily manufacture or use the road pantograph maintenance device of this invention, and can achieve the positive effects described in this invention.

[0040] Unless otherwise explicitly specified and limited, the terms "set up," "connected," and "linked" in this invention should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0041] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any simple modifications or equivalent changes made to the above embodiments based on the technical essence of the present invention shall fall within the protection scope of the present invention.

Claims

1. A maintenance device for road pantographs, characterized in that: It includes a main control unit, a data acquisition module, a status monitoring module, a fault diagnosis module, a maintenance scheduling module, and a data analysis module; The main control unit is used to coordinate the work of each module and perform data processing and storage. The data acquisition module is used to acquire the pantograph's operating parameters and environmental information. The status monitoring module is used to track the pantograph's working status in real time. The fault diagnosis module is used to analyze abnormal situations and generate fault reports. The maintenance scheduling module is used to allocate maintenance tasks and optimize resource allocation. The data analysis module is used to mine patterns in historical data to support decision-making. The main control unit is connected to the data acquisition module, status monitoring module, fault diagnosis module, maintenance scheduling module, and data analysis module through communication interfaces. The data acquisition module includes a sensor group, a signal conditioning circuit, and a data transmission unit. The sensor group is used to detect the electrical, mechanical, and environmental parameters of the pantograph. The signal conditioning circuit is used to filter and amplify the raw signals output by the sensors. The data transmission unit is used to send the processed signals to the main control unit. The sensor group is installed in key parts of the pantograph and connected to the signal conditioning circuit via wires. The signal conditioning circuit is fixed on the internal support of the pantograph and connected to the data transmission unit via a shielded cable. The data transmission unit establishes a connection with the main control unit through a wireless communication module.

2. The road pantograph maintenance device according to claim 1, characterized in that: The main control unit includes a central processing unit (CPU), a memory, a communication module, and a human-machine interface (HMI). The CPU is used to perform data processing and logic control tasks. The memory is used to store operating data and system configuration information. The communication module is used to exchange data with other modules. The HMI is used to display device status and receive user commands. The CPU is connected to the memory and communication module via a bus. The communication module communicates with the data acquisition module, status monitoring module, fault diagnosis module, maintenance scheduling module, and data analysis module via a wireless network. The HMI is connected to the CPU via a touch screen.

3. The road pantograph maintenance device according to claim 1, characterized in that: The status monitoring module includes a current monitoring unit, a voltage monitoring unit, a temperature monitoring unit, and a vibration monitoring unit. The current monitoring unit measures the input and output current of the pantograph; the voltage monitoring unit measures the input and output voltage of the pantograph; the temperature monitoring unit detects the temperature rise of key components of the pantograph; and the vibration monitoring unit records the mechanical vibration characteristics of the pantograph during operation. The current monitoring unit acquires signals through a Hall effect sensor and transmits the signals to the main control unit. The voltage monitoring unit acquires signals through a voltage divider resistor network and transmits the signals to the main control unit. The temperature monitoring unit acquires signals through a thermistor and transmits the signals to the main control unit. The vibration monitoring unit acquires signals through an accelerometer and transmits the signals to the main control unit.

4. The road pantograph maintenance device according to claim 1, characterized in that: The fault diagnosis module includes an anomaly detection unit, a fault classification unit, and a report generation unit. The anomaly detection unit is used to identify abnormal patterns in the operating data. The fault classification unit is used to determine the fault type based on the abnormal patterns. The report generation unit is used to organize fault information and generate a detailed fault report. The anomaly detection unit uses machine learning algorithms to extract features and match patterns in the operating data. The fault classification unit classifies abnormal patterns using a preset rule base. The report generation unit generates standardized fault reports using preset templates.

5. The road pantograph maintenance device according to claim 1, characterized in that: The maintenance scheduling module includes a task allocation unit, a route planning unit, and a resource management unit. The task allocation unit is used to allocate maintenance tasks according to the fault type and urgency. The route planning unit is used to calculate the optimal route for maintenance personnel to reach the site. The resource management unit is used to coordinate the tools and spare parts required for maintenance. The task allocation unit sorts maintenance tasks using a priority algorithm. The route planning unit generates the optimal route using map and navigation algorithms. The resource management unit queries and allocates maintenance resources through the inventory management system.

6. The road pantograph maintenance device according to claim 1, characterized in that: The data analysis module includes a data cleaning unit, a data mining unit, and a prediction model unit. The data cleaning unit is used to remove noise and redundant information from the running data. The data mining unit is used to extract potential patterns and correlations from historical data. The prediction model unit is used to build a prediction model based on the extracted patterns and perform trend analysis. The data cleaning unit performs data preprocessing through statistical methods and filtering algorithms. The data mining unit extracts data value through cluster analysis and association rule mining. The prediction model unit performs trend prediction through time series analysis and regression analysis.