PPDS drag chain driving monitoring system

Abstract

The invention relates to the technical field of monitoring systems, in particular to a PPDS drag chain drive monitoring system, which comprises a sensor unit, a PPDS analysis unit, a control system, a data memory and a floating end, wherein the sensor unit comprises a PPF sensor, the PPDS analysis unit comprises a data processing module, an analysis algorithm module, an alarm triggering module, a communication interface module and a power management module, the control system comprises an execution mechanism, a controller and an interface circuit, the data storage device comprises a storage device, and the floating end comprises a floating head. According to the system, the driving force and the change trend of the drag chain in the operation process can be monitored in real time, an alarm signal is triggered immediately once abnormity is found, a real-time monitoring and early warning mechanism is beneficial to finding and processing potential safety hazards in time, a high-performance processor and an algorithm library are adopted for deep analysis, and the safety of the drag chain is improved. The system can ensure the accuracy and reliability of data, and the monitoring system provides a plurality of alarm signal use modes.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring systems, and in particular to a PPDS drag chain drive monitoring system. Background Art

[0002] The PPDS drag chain drive monitoring system is an advanced system specifically used to monitor the drive status of drag chains. It is widely used in various occasions where the drive status of drag chains needs to be monitored, including industrial automation, mechanical manufacturing, and logistics and transportation. By real-time monitoring of the driving force of the drag chain and its changing trend, the system can effectively prevent drag chain failures and damages, and improve the reliability and service life of the equipment.

[0003] The data processing modules of traditional monitoring systems may be relatively simple and lack efficient data processing algorithms and powerful computing capabilities, which may make the system unable to provide accurate analysis results when processing complex data, thereby reducing the monitoring accuracy and reliability of the system. It is also impossible to automatically adjust the alarm thresholds or trigger conditions based on real-time monitoring data. The types and methods of alarm signals may also be relatively simple and cannot meet the needs of different scenarios.

[0004] Therefore, in view of the fact that the data processing module of the above-mentioned traditional monitoring system may be relatively simple and lacks efficient data processing algorithms and powerful computing power, the system may not be able to provide accurate analysis results when processing complex data, and cannot automatically adjust the alarm threshold or trigger conditions according to real-time monitoring data. A PPDS drag chain drive monitoring system can be designed. By adopting advanced technologies and algorithms, these aspects are comprehensively optimized and improved, thereby improving the monitoring accuracy, reliability and flexibility of the system. Summary of the invention

[0005] In order to overcome the problem that traditional monitoring systems lack efficient data processing algorithms and powerful computing power, the system may not be able to provide accurate analysis results when processing complex data, nor can it automatically adjust alarm thresholds or trigger conditions based on real-time monitoring data.

[0006] The technical solution of the present invention is: a PPDS drag chain drive monitoring system, which includes a sensor unit, a PPDS analysis unit, a control system, a data storage device and a floating end;

[0007] The sensor unit includes a PPF sensor which is directly installed on the connector of the drag chain and is used to monitor the driving force of the drag chain in real time during operation. The monitoring data is transmitted to the PPDS analysis unit via cables or wirelessly. The transmitted data includes the real-time driving force and change trend.

[0008] The PPDS analysis unit includes a data processing module, an analysis algorithm module, an alarm trigger module, a communication interface module and a power management module, which are responsible for receiving the raw data from the PPF sensor and performing preliminary processing and cleaning to ensure the accuracy and reliability of the data; the data processing module includes an analog-to-digital converter for converting analog signals into digital signals and a data buffer for temporarily storing data, the analysis algorithm module includes a high-performance processor and an algorithm library, and the analysis algorithm can be used to perform in-depth analysis on the processed data to identify abnormal patterns or trends of the drag chain driving force. The alarm trigger module includes a comparator circuit and a signal generator. The communication interface module includes a serial communication interface, an Ethernet interface, and a wireless communication module, which can be responsible for communicating with other modules to transmit data and receive instructions). The power management module includes a power converter, a voltage regulator and a backup battery, which can provide a stable power supply for the PPDS analysis unit and monitor the power supply status to ensure the normal operation of the system;

[0009] The control system includes an actuator, a controller and an interface circuit that receive alarm signals from the PPDS analysis unit and perform corresponding actions according to preset logic. The PPDS analysis unit is connected to the control system through a standard interface;

[0010] The data storage device includes a storage device for storing the data processed by the PPDS analysis unit for subsequent analysis and use. Actions and data can be customized in the data storage device:

[0011] The floating end includes a floating head that provides a flexible connection point for the sensor, ensuring that the sensor can move with the movement of the drag chain while maintaining stable monitoring. The floating end is connected to the connector of the drag chain through bolts and snaps.

[0012] Preferably, in the case of a wired connection in the sensor unit, the cable comprises a plurality of wires for transmitting different signals, and the wires include power, data and ground wires.

[0013] Preferably, the high-performance processor in the PPDS analysis unit may specifically be a CPU or a GPU, and the analysis algorithm includes a heuristic algorithm and a genetic algorithm.

[0014] As a preference, PPDS is divided into PPDS basic type suitable for all standard industrial applications, PPDS advanced type suitable for long strokes and PPDS professional type for working conditions requiring extremely high application reliability. The PPF sensor installed in the PPDS basic type can monitor the driving force size with a stroke of less than 100m.

[0015] Preferably, the PPDS advanced monitoring system is installed on a floating head used for long-stroke sliding to compensate for lateral displacement errors. The force sensor is integrated in the mobile end and is connected to the PPDS diagnostic unit to act simultaneously.

[0016] Preferably, the PPDS Professional monitoring system is capable of analyzing the driving force according to position and threshold, and a force measuring cell is installed on the floating head.

[0017] Preferably, when the analysis algorithm module in the PPDS analysis unit detects an abnormality, the alarm trigger module is responsible for triggering the alarm signal and generating a corresponding report or log. When the system is overloaded, it will automatically send out a signal or alarm, and the signal usage method can be freely selected, including stop signal, deceleration signal, sound signal and light signal.

[0018] Preferably, when the PPDS analysis unit in the control system detects an abnormality, it sends an alarm signal to the control system, and the control system performs corresponding actions according to preset logic, including sudden stop and deceleration.

[0019] As a preference, the monitoring system working mode is set as follows:

[0020] 1) First, install the PPF sensor directly on the connector of the drag chain, ensure that the sensor is firmly installed and can accurately measure the driving force of the drag chain during operation, connect the sensor unit and the PPDS analysis unit, either by cable or wirelessly. If using a cable, ensure that the cable connection is firm and not easily damaged; if using a wireless method, ensure that the communication between the sensor and the receiving device is stable, connect the floating end to the connector of the drag chain by bolts or snaps, and ensure that the floating end can move with the movement of the drag chain while maintaining stable monitoring;

[0021] 2) In the PPDS analysis unit, configure the relevant parameters of the data processing module, analysis algorithm module, alarm trigger module, communication interface module and power management module, including setting the accuracy of data processing, the threshold of the analysis algorithm, the conditions for alarm triggering, initializing the data storage, setting the data storage path, format and backup strategy, and then configure the control system, set the preset logical actions, including sudden stop and deceleration, and connect the standard interface between the PPDS analysis unit and the control system;

[0022] 3) After ensuring that all connections and configurations are correct, start the monitoring system. At this time, the PPF sensor will begin to monitor the driving force of the drag chain in real time during operation and transmit the data to the PPDS analysis unit. The PPDS analysis unit will perform preliminary processing and cleaning of the received data, and then use the analysis algorithm to perform in-depth analysis to identify abnormal patterns or trends in the driving force of the drag chain;

[0023] 4) During the monitoring process, pay close attention to the alarm signal of the PPDS analysis unit. If the analysis algorithm module detects an abnormality, the alarm trigger module will trigger the alarm signal and generate a corresponding report or log. After receiving the alarm signal, the control system will perform corresponding actions according to the preset logic, including sudden stop and deceleration. At the same time, the processed data and custom action records can be viewed in the data storage;

[0024] 5) Regularly maintain and inspect the monitoring system to ensure the normal operation of all devices and connections. According to the monitoring data and alarm records, analyze the operation status of the drag chain, optimize the configuration and logical actions of the monitoring system to improve the accuracy and reliability of the system;

[0025] 6) The data stored in the data storage device can be used for subsequent analysis and utilization. The data analysis tools can be used to conduct in-depth research on the changes in the driving force of the drag chain, providing a scientific basis for the maintenance and management of the equipment.

[0026] Beneficial effects of the present invention:

[0027] 1. The system can monitor the driving force of the drag chain and its changing trend in real time during operation. Once an abnormality is found, an alarm signal will be triggered immediately. The real-time monitoring and early warning mechanism helps to timely discover and deal with potential safety hazards, prevent the expansion of faults, and reduce downtime and maintenance costs caused by equipment failures. The system can ensure the accuracy and reliability of the data by performing preliminary processing on the original data through the data processing module and using high-performance processors and algorithm libraries for in-depth analysis. This helps to improve the accuracy of the monitoring results and provide strong data support for equipment maintenance and management. The monitoring system provides a variety of alarm signal usage methods, including stop signals, deceleration signals, sound Sound signal and light signal, users can freely choose according to actual needs. This flexible alarm and response mechanism helps to meet the needs of different scenarios and improve the adaptability and practicality of the system. The communication interface module includes a serial communication interface, an Ethernet interface and a wireless communication module, which can carry out efficient data transmission and communication with other modules, which helps to realize real-time data sharing and remote monitoring, and improve the integration capability and scalability of the system. The data storage device can store the data processed by the PPDS analysis unit for subsequent analysis and use. Users can customize actions and data in the data storage device, which is convenient for in-depth mining and analysis of monitoring data, and provides a scientific basis for equipment optimization and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 What is shown is a schematic diagram of the overall framework structure of a PPDS drag chain drive monitoring system of the present invention. DETAILED DESCRIPTION

[0029] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0030] See also Figure 1 , the present invention provides an embodiment: the system includes a sensor unit, a PPDS analysis unit, a control system, a data storage device and a floating terminal;

[0031] The sensor unit includes a PPF sensor directly mounted on the connector of the drag chain, which is used to monitor the driving force of the drag chain in real time during operation. The monitoring data is transmitted to the PPDS analysis unit via a cable or wirelessly. In the case of a wired connection, the cable contains multiple wires for transmitting different signals. The wires include power, data and ground wires. The transmitted data includes the real-time driving force and change trend.

[0032] The PPDS analysis unit includes a data processing module, an analysis algorithm module, an alarm trigger module, a communication interface module, and a power management module, which are responsible for receiving the raw data from the PPF sensor and performing preliminary processing and cleaning to ensure the accuracy and reliability of the data; the data processing module includes an analog-to-digital converter for converting analog signals into digital signals and a data buffer for temporarily storing data; the analysis algorithm module includes a high-performance processor and an algorithm library. The high-performance processor can be specifically a CPU or a GPU. The analysis algorithm includes a heuristic algorithm and a genetic algorithm. The analysis algorithm can be used to conduct in-depth analysis of the processed data to identify abnormal patterns or trends in the drag chain driving force and alarm. The trigger module includes a comparator circuit and a signal generator. When the analysis algorithm module detects an abnormality, the alarm trigger module is responsible for triggering the alarm signal and generating a corresponding report or log. When the system is overloaded, it will automatically send out a signal or alarm. The signal usage can be freely selected, including a sudden stop signal, a deceleration signal, a sound signal and a light signal. The communication interface module includes a serial communication interface, an Ethernet interface, and a wireless communication module, which can be responsible for communicating with other modules to transmit data and receive instructions). The power management module includes a power converter, a voltage regulator and a backup battery, which can provide a stable power supply for the PPDS analysis unit and monitor the power supply status to ensure the normal operation of the system.

[0033] The control system includes an actuator, a controller and an interface circuit that receive the alarm signal from the PPDS analysis unit and perform corresponding actions according to the preset logic. The PPDS analysis unit is connected to the control system through a standard interface. When the PPDS analysis unit detects an abnormality, it will send an alarm signal to the control system, and the control system will perform corresponding actions according to the preset logic, including sudden stop and deceleration;

[0034] The data storage device includes a storage device for storing the data processed by the PPDS analysis unit for subsequent analysis and use. Actions and data can be customized in the data storage device:

[0035] The floating end includes a floating head that provides a flexible connection point for the sensor, ensuring that the sensor can move with the movement of the drag chain while maintaining stable monitoring. The floating end is connected to the connector of the drag chain through bolts and buckles;

[0036] PPDS is divided into PPDS basic type suitable for all standard industrial applications, PPDS advanced type suitable for long strokes and PPDS professional type for working conditions requiring extremely high application reliability. The PPF sensor installed on the PPDS basic type can monitor the driving force size with a stroke of less than 100m. In the PPDS advanced type, the monitoring system is installed on the floating head used for long-stroke sliding to compensate for lateral displacement errors. The force sensor is integrated in the mobile end and is connected to the PPDS diagnostic unit to work simultaneously. In the PPDS professional type, the monitoring system can analyze the driving force according to the position and threshold, and a force measuring element is installed on the floating head;

[0037] The monitoring system working mode is set as follows:

[0038] 1) First, install the PPF sensor directly on the connector of the drag chain, ensure that the sensor is firmly installed and can accurately measure the driving force of the drag chain during operation, connect the sensor unit and the PPDS analysis unit, either by cable or wirelessly. If using a cable, ensure that the cable connection is firm and not easily damaged; if using a wireless method, ensure that the communication between the sensor and the receiving device is stable, connect the floating end to the connector of the drag chain by bolts or buckles, and ensure that the floating end can move with the movement of the drag chain while maintaining stable monitoring;

[0039] 2) In the PPDS analysis unit, configure the relevant parameters of the data processing module, analysis algorithm module, alarm trigger module, communication interface module and power management module, including setting the accuracy of data processing, the threshold of the analysis algorithm, the conditions for alarm triggering, initializing the data storage, setting the data storage path, format and backup strategy, and then configure the control system, set the preset logical actions, including sudden stop and deceleration, and connect the standard interface between the PPDS analysis unit and the control system;

[0040] 3) After ensuring that all connections and configurations are correct, start the monitoring system. At this time, the PPF sensor will begin to monitor the driving force of the drag chain in real time during operation and transmit the data to the PPDS analysis unit. The PPDS analysis unit will perform preliminary processing and cleaning of the received data, and then use the analysis algorithm to perform in-depth analysis to identify abnormal patterns or trends in the driving force of the drag chain;

[0041] 4) During the monitoring process, pay close attention to the alarm signal of the PPDS analysis unit. If the analysis algorithm module detects an abnormality, the alarm trigger module will trigger the alarm signal and generate a corresponding report or log. After receiving the alarm signal, the control system will perform corresponding actions according to the preset logic, including sudden stop and deceleration. At the same time, the processed data and custom action records can be viewed in the data storage;

[0042] 5) Regularly maintain and inspect the monitoring system to ensure the normal operation of all devices and connections. According to the monitoring data and alarm records, analyze the operation status of the drag chain, optimize the configuration and logical actions of the monitoring system to improve the accuracy and reliability of the system;

[0043] 6) The data stored in the data storage device can be used for subsequent analysis and utilization. The data analysis tools can be used to conduct in-depth research on the changes in the driving force of the drag chain, providing a scientific basis for the maintenance and management of the equipment.

[0044] Through the above steps, the system can monitor the driving force of the drag chain and its changing trend in real time during operation. Once an abnormality is found, an alarm signal will be triggered immediately. The real-time monitoring and early warning mechanism helps to promptly discover and deal with potential safety hazards, prevent the expansion of faults, and reduce downtime and maintenance costs caused by equipment failures. The system uses high-performance processors and algorithm libraries for in-depth analysis to ensure the accuracy and reliability of data. The monitoring system provides a variety of alarm signal usage methods, including sudden stop signals, deceleration signals, sound signals and light signals. Users can freely choose according to actual needs to solve the problem that traditional monitoring systems lack efficient data processing algorithms and powerful computing power, so that the system may not be able to provide accurate analysis results when processing complex data, and cannot automatically adjust alarm thresholds or trigger conditions according to real-time monitoring data.

[0045] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. A PPDS drag chain drive monitoring system, the system comprises a sensor unit, a PPDS analysis unit, a control system, a data storage device and a floating end; characterized in that: The sensor unit includes a PPF sensor which is directly installed on the connector of the drag chain and is used to monitor the driving force of the drag chain in real time during operation. The monitoring data is transmitted to the PPDS analysis unit via cables or wirelessly. The transmitted data includes the real-time driving force and change trend. The PPDS analysis unit includes a data processing module, an analysis algorithm module, an alarm trigger module, a communication interface module and a power management module, which are responsible for receiving the raw data from the PPF sensor and performing preliminary processing and cleaning to ensure the accuracy and reliability of the data; the data processing module includes an analog-to-digital converter for converting analog signals into digital signals and a data buffer for temporarily storing data, the analysis algorithm module includes a high-performance processor and an algorithm library, and the analysis algorithm can be used to perform in-depth analysis on the processed data to identify abnormal patterns or trends of the drag chain driving force. The alarm trigger module includes a comparator circuit and a signal generator, and the communication interface module includes a serial communication interface, an Ethernet interface, and a wireless communication module, which can be responsible for communicating with other modules to transmit data and receive instructions). The power management module includes a power converter, a voltage regulator and a backup battery, which can provide a stable power supply for the PPDS analysis unit and monitor the power supply status to ensure the normal operation of the system; The control system includes an actuator, a controller and an interface circuit that receive alarm signals from the PPDS analysis unit and perform corresponding actions according to preset logic. The PPDS analysis unit is connected to the control system through a standard interface; The data storage device includes a storage device for storing the data processed by the PPDS analysis unit for subsequent analysis and use. Actions and data can be customized in the data storage device: The floating end includes a floating head that provides a flexible connection point for the sensor, ensuring that the sensor can move with the movement of the drag chain while maintaining stable monitoring. The floating end is connected to the connector of the drag chain through bolts and snaps.

2. A PPDS drag chain drive monitoring system according to claim 1, characterized in that: In the case of a wired connection in the sensor unit, the cable contains multiple wires for transmitting different signals, including power, data and ground wires.

3. A PPDS drag chain drive monitoring system according to claim 1, characterized in that: The high-performance processor in the PPDS analysis unit may specifically be a CPU or a GPU, and the analysis algorithm includes a heuristic algorithm and a genetic algorithm.

4. The PPDS drag chain drive monitoring system according to claim 1, characterized in that: PPDS is divided into PPDS basic type suitable for all standard industrial applications, PPDS advanced type suitable for long strokes and PPDS professional type for working conditions requiring extremely high application reliability. The PPF sensor installed in the PPDS basic type can monitor the driving force size with a stroke of less than 100m.

5. A PPDS drag chain drive monitoring system according to claim 4, characterized in that: The PPDS Advanced monitoring system is installed on the floating head used for long-stroke sliding to compensate for lateral displacement errors. The force sensor is integrated in the moving end and is connected to the PPDS diagnostic unit for simultaneous operation.

6. A PPDS drag chain drive monitoring system according to claim 4, characterized in that: The PPDS Professional monitoring system analyses the driving forces according to position and thresholds, with a force measuring cell mounted on the floating head.

7. The PPDS drag chain drive monitoring system according to claim 1, characterized in that: When the analysis algorithm module in the PPDS analysis unit detects an abnormality, the alarm trigger module is responsible for triggering the alarm signal and generating corresponding reports or logs. When the system is overloaded, it will automatically send out a signal or alarm. The signal usage method can be freely selected, including stop signal, deceleration signal, sound signal and light signal.

8. The PPDS drag chain drive monitoring system according to claim 1, characterized in that: When the PPDS analysis unit detects an abnormality in the control system, it sends an alarm signal to the control system, and the control system performs corresponding actions according to the preset logic, including sudden stop and deceleration.

9. The PPDS drag chain drive monitoring system according to claim 1, characterized in that: The monitoring system working mode is set as follows: 1) First, install the PPF sensor directly on the connector of the drag chain, ensure that the sensor is firmly installed and can accurately measure the driving force of the drag chain during operation, connect the sensor unit and the PPDS analysis unit, either by cable or wirelessly. If using a cable, ensure that the cable connection is firm and not easily damaged; if using a wireless method, ensure that the communication between the sensor and the receiving device is stable, connect the floating end to the connector of the drag chain by bolts or buckles, and ensure that the floating end can move with the movement of the drag chain while maintaining stable monitoring; 2) In the PPDS analysis unit, configure the relevant parameters of the data processing module, analysis algorithm module, alarm trigger module, communication interface module and power management module, including setting the accuracy of data processing, the threshold of the analysis algorithm, the conditions for alarm triggering, initializing the data storage, setting the data storage path, format and backup strategy, and then configure the control system, set the preset logical actions, including sudden stop and deceleration, and connect the standard interface between the PPDS analysis unit and the control system; 3) After ensuring that all connections and configurations are correct, start the monitoring system. At this time, the PPF sensor will begin to monitor the driving force of the drag chain in real time during operation and transmit the data to the PPDS analysis unit. The PPDS analysis unit will perform preliminary processing and cleaning of the received data, and then use the analysis algorithm to perform in-depth analysis to identify abnormal patterns or trends in the driving force of the drag chain; 4) During the monitoring process, pay close attention to the alarm signal of the PPDS analysis unit. If the analysis algorithm module detects an abnormality, the alarm trigger module will trigger the alarm signal and generate a corresponding report or log. After receiving the alarm signal, the control system will perform corresponding actions according to the preset logic, including sudden stop and deceleration. At the same time, the processed data and custom action records can be viewed in the data storage; 5) Regularly maintain and inspect the monitoring system to ensure the normal operation of all devices and connections. According to the monitoring data and alarm records, analyze the operation status of the drag chain, optimize the configuration and logical actions of the monitoring system to improve the accuracy and reliability of the system; 6) The data stored in the data storage device can be used for subsequent analysis and utilization. The data analysis tools can be used to conduct in-depth research on the changes in the driving force of the drag chain, providing a scientific basis for the maintenance and management of the equipment.

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