Rotary kiln riding wheel bearing bush temperature monitoring and heating early warning system

Abstract

The invention relates to the technical field of riding wheel bearing bush temperature monitoring and heating early warning, and discloses a rotary kiln riding wheel bearing bush temperature monitoring and heating early warning system which comprises a health temperature monitoring unit, a heating early warning unit and a health monitoring management platform. The health temperature monitoring unit comprises a distributed data acquisition module and a data transmission and control module which are electrically connected with the health temperature monitoring unit. When information of the distributed data acquisition module is transmitted to the Internet of Things gateway, the data transmission and control module plays a key role and manages the local and remote management monitoring computer modules, so that the local and remote management monitoring computer modules work cooperatively to drive the infrared network camera to monitor the heating condition of the riding wheel bearing bush, and the camera captures real-time pictures; and the data is transmitted to a gateway of the internet of things through an RJ45 network port, so that related personnel can know the heating degree in real time and take measures in time. The module improves the transmission efficiency, enhances the real-time monitoring capability, and provides guarantee for stable operation of equipment.

Description

Technical Field

[0001] The invention relates to the technical field of supporting roller bearing temperature monitoring and heating early warning, and in particular to a supporting roller bearing temperature monitoring and heating early warning system for a rotary kiln. Background Art

[0002] The rotary kiln is a key core production equipment in the building materials and metallurgy industries. Its performance and operating status largely determine the economic benefits of the enterprise. The supporting wheel, as the movement support point of the rotary kiln, bears a huge weight load. Whether it can operate normally directly determines the operation rate of the rotary kiln. Heating of the supporting wheel bearing is a common phenomenon that often occurs during the operation of the rotary kiln. If it is not discovered and handled in time, it will cause serious consequences.

[0003] At present, the temperature of the rotary kiln support wheel bearing is heated due to long-term operation, which further accelerates the expansion of defects and eventually leads to accidents. The current countermeasure is to have patrol personnel conduct regular on-site inspections. This method has great limitations and there are monitoring blind spots. It is impossible to timely discover the hidden danger of excessive temperature of the rotary kiln support wheel bearing. In addition, personnel patrols and thermocouples measure the temperature of the rotary kiln support wheel bearing, which cannot effectively monitor the abnormal heating of the bearing in real time. For this reason, we need to provide a rotary kiln support wheel bearing temperature monitoring and heating early warning system. Summary of the invention

[0004] The object of the present invention is to provide a rotary kiln support wheel bearing temperature monitoring and heating early warning system to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a rotary kiln roller bearing temperature monitoring and fever warning system, comprising a healthy temperature monitoring unit, a fever warning unit and a health monitoring management platform, the healthy temperature monitoring unit comprising a distributed data acquisition module and a data transmission and control module electrically connected thereto, the healthy temperature monitoring unit also comprising a plurality of real-time monitoring modules, the plurality of real-time monitoring modules being arranged at a plurality of monitoring points of the roller bearing, the plurality of real-time monitoring modules transmitting the monitored signals to the distributed data acquisition module, the distributed data acquisition module and the data transmission and control module being electrically connected; the healthy temperature monitoring unit is connected to the health monitoring management platform for communication using a communication network via an Internet of Things gateway, and the health monitoring management platform is connected to the fever warning unit for signals.

[0006] Preferably, the distributed data acquisition module includes an oil viscosity sensor, a photoelectric liquid level and sealing sensor, a photoelectric liquid level and water temperature sensor, a gap sensor, and a fluorescent fiber optic temperature sensor. The signal output ends of the oil viscosity sensor, the photoelectric liquid level and sealing sensor, the photoelectric liquid level and water temperature sensor, the gap sensor, and the fluorescent fiber optic temperature sensor are connected to a photoelectric conversion module and an analysis module, and the optical signals containing various information transmitted back are converted and analyzed by the photoelectric conversion module and the analysis module, and the signals of various information are transmitted to the Internet of Things gateway through the RS485 interface according to the Modbus RTU communication protocol.

[0007] Preferably, the data transmission and control module includes a local management and monitoring computer module and a remote management and monitoring computer module. The local management and monitoring computer module and the remote management and monitoring computer module are electrically connected to an infrared network camera. The infrared network camera will monitor the real-time image of the heating of the support roller bearing in real time, and be connected to the Internet of Things gateway through the RJ45 network port.

[0008] Preferably, the fever warning unit includes a data management module, a data classification module and a data analysis and comparison module electrically connected thereto, the data management module is signal-connected to the data classification module, and the data classification module is signal-connected to the data analysis and comparison module.

[0009] Preferably, the fever warning unit also includes an evaluation module electrically connected thereto, and the evaluation module is used to evaluate the temperature monitoring and fever conditions of the support roller bearing in the health monitoring management platform, and the evaluation module is signal-connected to the health monitoring management platform.

[0010] Preferably, the health monitoring management platform signal is connected to an infrared thermal imaging camera and a visible light camera. The infrared thermal imaging camera is used to scan the position to be measured in the support roller bearing to obtain a thermal image of the position to be measured, and transmit the information back to the health monitoring management platform. The visible light camera is used to scan the position to be measured in the support roller bearing to obtain an image of the position to be measured, and transmit the information back to the health monitoring management platform.

[0011] Preferably, the health monitoring management platform is also signal-connected to an alarm module and a user interface, wherein the alarm module is used to execute an alarm according to an alarm signal sent by the health monitoring management platform, and the user interface allows a user to view real-time data, historical data and alarm records.

[0012] The present invention provides a rotary kiln support wheel bearing temperature monitoring and heating early warning system.

[0013] Beneficial effects:

[0014] (1) The present invention carefully sets up multiple real-time monitoring modules at multiple key monitoring points of the roller bearing. These monitoring modules are responsible for real-time capture and recording of various key data, including the state of lubricating oil, oil level and sealing state, cooling water state, bearing gap and bearing temperature. In order to ensure the accuracy and real-time performance of the data, we use a variety of sensors, such as oil viscosity sensor, photoelectric liquid level and sealing sensor, photoelectric liquid level and water temperature sensor, gap sensor and fluorescent fiber optic temperature sensor. These sensors can accurately capture various subtle changes, and convert the captured signals through the photoelectric conversion module, and then conduct in-depth analysis through the analysis module. The analyzed optical signal contains rich information, which will be transmitted to the Internet of Things gateway through the RS485 interface according to the Modbus RTU communication protocol. As a data transfer station, the Internet of Things gateway is responsible for further transmitting this information to a wider network system, thereby realizing comprehensive monitoring and management of the state of the roller bearing. Through this multi-level, multi-module monitoring system, we can ensure the stable operation of the equipment, timely discover and solve potential problems, and thus improve the reliability and safety of the entire system.

[0015] (2) When the present invention transmits the information of the distributed data acquisition module to the Internet of Things gateway, the data transmission and control module plays a key role. It manages the local and remote management and monitoring computer modules, enables them to work together, and drives the infrared network camera to monitor the heating of the support wheel bearing. The camera captures the real-time picture and transmits it to the Internet of Things gateway through the RJ45 network port, so that relevant personnel can understand the degree of heating in real time and take timely measures. This module improves the transmission efficiency, enhances the real-time monitoring capability, and provides guarantee for the stable operation of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a schematic diagram of the structure of the supporting roller bearing temperature monitoring and heating early warning system of the present invention;

[0017] Figure 2 This is a schematic diagram of the structure of the distributed data acquisition module of the present invention;

[0018] Figure 3 It is a schematic diagram of the structure of the remote data transmission and control module of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0021] A preferred embodiment of the rotary kiln support wheel bearing temperature monitoring and heating early warning system provided by the present invention is as follows: Figure 1-3 As shown: a rotary kiln supporting wheel bearing temperature monitoring and fever warning system, including a healthy temperature monitoring unit, a fever warning unit and a healthy monitoring management platform, the healthy temperature monitoring unit includes a distributed data acquisition module and a data transmission and control module electrically connected thereto, the healthy temperature monitoring unit also includes a plurality of real-time monitoring modules, the plurality of real-time monitoring modules are arranged at a plurality of monitoring point positions of the supporting wheel bearing, the plurality of real-time monitoring modules transmit the monitored signals to the distributed data acquisition module, the distributed data acquisition module and the data transmission and control module are electrically connected; the healthy temperature monitoring unit uses a communication network to communicate with the health monitoring management platform through an Internet of Things gateway, and the health monitoring management platform is connected with the fever warning unit by signal;

[0022] It is further obtained that the distributed data acquisition module includes an oil viscosity sensor, a photoelectric liquid level and sealing sensor, a photoelectric liquid level and water temperature sensor, a gap sensor, and a fluorescent optical fiber temperature sensor. The signal output ends of the oil viscosity sensor, the photoelectric liquid level and sealing sensor, the photoelectric liquid level and water temperature sensor, the gap sensor, and the fluorescent optical fiber temperature sensor are connected to a photoelectric conversion module and an analysis module, and the optical signals containing various information transmitted back are converted and analyzed by the photoelectric conversion module and the analysis module, and the signals of various information are transmitted to the Internet of Things gateway through the RS485 interface according to the Modbus RTU communication protocol;

[0023] By carefully setting up the oil viscosity sensor, we can effectively avoid the heating of the roller bearing caused by lubricant problems. When the lubricant of the roller bearing reaches the oil change standard but is not replaced in time, it may cause the lubricant viscosity to decrease, the oil to emulsify, or the oil to contain dust impurities, all of which will cause the bearing to heat up. To avoid this situation, the oil viscosity sensor can monitor the state of the lubricant in real time to ensure that it is always in the best working condition.

[0024] In addition, by installing photoelectric level and seal sensors, we can effectively prevent oil leakage caused by poor sealing of the roller bearing. Severe oil leakage will cause the oil level to drop, or even the lubricating oil spoon to fall off, resulting in insufficient lubrication, which in turn leads to increased bearing temperature. Photoelectric level and seal sensors can monitor the oil level and sealing status in real time to ensure the normal supply of lubricating oil, thereby avoiding abnormal increase in bearing temperature.

[0025] By setting up photoelectric liquid level and water temperature sensors, we can effectively avoid heating of the bearings caused by problems such as poor cooling water system, insufficient water or water seepage in the internal circulating water pipes. Poor cooling water system or insufficient water will lead to poor circulating cooling effect, which will cause heating of the bearings. When the internal circulating water pipes of the supporting wheel bearings age and leak, it will cause the lubricating oil to emulsify, deteriorate the oil quality, and cause heating of the bearings. Photoelectric liquid level and water temperature sensors can monitor the status of cooling water in real time to ensure the normal operation of the cooling system, thereby avoiding heating of the bearings.

[0026] By setting up a gap sensor, we can effectively avoid the problem of bearing temperature rise caused by too small a gap at the bearing mouth. During the long-term use of the supporting roller bearing, the contact angle between the bearing and the shaft will gradually increase, and the contact gap between the bearing mouth and the shaft will gradually decrease. When the gap is small to a certain extent, the lubricating oil cannot smoothly enter the bottom of the bearing for lubrication, causing the bearing to heat up. The gap sensor can monitor the gap at the bearing mouth in real time to ensure that it remains within a reasonable range, thereby avoiding the heating of the bearing.

[0027] Finally, by setting up a fluorescent fiber optic temperature sensor, we can measure the direct temperature of the tested support roller bearing in real time and transmit the measurement results to the IoT gateway in real time. This ensures the real-time and accuracy of the temperature data, making it easier to take timely measures to prevent the bearing from being damaged due to excessive temperature. The fluorescent fiber optic temperature sensor can provide high-precision temperature measurement, ensuring that the bearing operates within the optimal temperature range, thereby improving the stability and service life of the equipment.

[0028] It is further obtained that the data transmission and control module includes a local management and monitoring computer module and a remote management and monitoring computer module. The local management and monitoring computer module and the remote management and monitoring computer module are electrically connected to an infrared network camera. The infrared network camera will monitor the real-time picture of the heating of the supporting wheel bearing in real time and connect to the Internet of Things gateway through the RJ45 network port;

[0029] In the process of transmitting the information collected by the distributed data acquisition module to the IoT gateway, the data transmission and control module plays a vital role. At this time, the data transmission and control module is responsible for managing and coordinating the work of the local management and monitoring computer module and the remote management and monitoring computer module. Through precise control, the two computer modules can work together to drive the infrared network camera for real-time monitoring. The infrared network camera can capture the real-time images of the heating of the supporting roller bearing and transmit these images to the IoT gateway through the RJ45 network port. In this way, relevant personnel can understand the heating degree of the supporting roller bearing in real time, so as to take corresponding measures in time to ensure the normal operation and safety of the equipment. In this way, the data transmission and control module not only improves the efficiency of data transmission, but also enhances the real-time monitoring capability of the entire system, providing a strong guarantee for the stable operation of the equipment.

[0030] It is further obtained that the fever warning unit includes a data management module, a data classification module and a data analysis and comparison module electrically connected thereto, the data management module is signal-connected to the data classification module, the data classification module is signal-connected to the data analysis and comparison module, the fever warning unit also includes an evaluation module electrically connected thereto, the evaluation module is used to evaluate the temperature monitoring and fever of the supporting wheel bearing in the health monitoring management platform, and the evaluation module is signal-connected to the health monitoring management platform;

[0031] It is further obtained that the health monitoring management platform is signal-connected with an infrared thermal imaging camera and a visible light camera. The infrared thermal imaging camera is used to scan the position to be measured in the support roller bearing to obtain a thermal image of the position to be measured, and transmit the information back to the health monitoring management platform. The visible light camera is used to scan the position to be measured in the support roller bearing to obtain an image of the position to be measured, and transmit the information back to the health monitoring management platform. The health monitoring management platform is also signal-connected with an alarm module and a user interface. The alarm module is used to execute an alarm according to the alarm signal sent by the health monitoring management platform, and the user interface allows the user to view real-time data, historical data and alarm records.

[0032] Working principle: First, multiple real-time monitoring modules are set at multiple monitoring points of the supporting roller bearing. Multiple real-time monitoring modules transmit the monitored signals to the distributed data acquisition module. If it involves the state of lubricating oil, oil level and sealing state, cooling water state, bearing gap, bearing temperature, etc., the oil viscosity sensor, photoelectric liquid level and sealing sensor, photoelectric liquid level and water temperature sensor, gap sensor, fluorescent fiber optic temperature sensor will convert and analyze the information through the photoelectric conversion module and analysis module. The optical signal containing various information is transmitted back, and the signal of various information is transmitted to the Internet of Things gateway through the RS485 interface according to the Modbus RTU communication protocol. Among them, the Internet of Things gateway has the functions of edge data collection, calculation, active reporting and data reading and writing, linkage control, I0 collection and control, etc. The collection protocol includes standard Modbus protocol and various common PLC protocols; it supports Modbus RTU / ICP and OPC UA protocol conversion and other functions support fast access to common platforms such as UCloud, Alibaba Cloud, AWS, and Huawei Cloud. The hardware integrates DI, D0, AI, and RS485 to meet the needs of industrial field control and collection, and can also realize linkage control based on various collection point data or status;

[0033] The IoT gateway supports cellular networks and transmits the collected data to the health monitoring management platform through the communication network. At this time, on the one hand, the health monitoring management platform controls the infrared thermal imaging camera and the visible light camera to scan the positions to be measured in the support roller bearing to obtain the thermal image / image of the positions to be measured, and transmits the information back to the health monitoring management platform, and then transmits it to the evaluation module. The evaluation module evaluates the temperature monitoring and heating conditions of the support roller bearing, and controls, classifies and compares it through the data management module, the data classification module and the data analysis and comparison module. Finally, it determines whether the bearing temperature and heating conditions exceed the preset qualified range. If exceeded, the early warning signal is immediately fed back to the health monitoring management platform, and the alarm module is controlled to execute the alarm according to the alarm signal sent by the health monitoring management platform; on the other hand, the health monitoring management platform will send information to the user interface, allowing users to view real-time data, historical data and alarm records.

[0034] In summary, the present invention has a real-time monitoring effect: it can understand the heating degree of the roller bearing at any time, take measures in time, improve the transmission efficiency, enhance the real-time monitoring capability, provide guarantee for the stable operation of the equipment, and detect abnormalities in time; it has the effect of improving efficiency: the automated monitoring method reduces the workload of manual inspections and improves the operation and maintenance efficiency; it has a data support effect: it provides a large amount of operation data, supports more accurate status evaluation and decision-making, and realizes continuous monitoring of the temperature and heating conditions of the roller bearing to prevent abnormal heating of the bearing and ensure the stable operation of the bearing.

[0035] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0036] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A rotary kiln support wheel bearing temperature monitoring and fever warning system, including a healthy temperature monitoring unit, a fever warning unit and a health monitoring management platform, characterized in that: The health temperature monitoring unit includes a distributed data acquisition module and a data transmission and control module electrically connected thereto. The health temperature monitoring unit also includes multiple real-time monitoring modules. Multiple real-time monitoring modules are arranged at multiple monitoring points of the support roller bearing. Multiple real-time monitoring modules transmit the monitored signals to the distributed data acquisition module. The distributed data acquisition module and the data transmission and control module are electrically connected to each other. The health temperature monitoring unit uses a communication network to communicate with the health monitoring management platform through the Internet of Things gateway, and the health monitoring management platform is connected to the fever warning unit by signal.

2. A rotary kiln support wheel bearing temperature monitoring and heating early warning system according to claim 1, characterized in that: The distributed data acquisition module includes an oil viscosity sensor, a photoelectric liquid level and sealing sensor, a photoelectric liquid level and water temperature sensor, a gap sensor, and a fluorescent fiber optic temperature sensor. The signal output ends of the oil viscosity sensor, the photoelectric liquid level and sealing sensor, the photoelectric liquid level and water temperature sensor, the gap sensor, and the fluorescent fiber optic temperature sensor are connected to a photoelectric conversion module and an analysis module, and the optical signals containing various information transmitted back are converted and analyzed by the photoelectric conversion module and the analysis module, and the signals of various information are transmitted to the Internet of Things gateway through the RS485 interface according to the Modbus RTU communication protocol.

3. A rotary kiln support wheel bearing temperature monitoring and heating early warning system according to claim 1, characterized in that: The data transmission and control module includes a local management and monitoring computer module and a remote management and monitoring computer module. The local management and monitoring computer module and the remote management and monitoring computer module are electrically connected to an infrared network camera. The infrared network camera will monitor the real-time image of the heating of the support roller bearing in real time and connect to the Internet of Things gateway through the RJ45 network port.

4. A rotary kiln support wheel bearing temperature monitoring and heating early warning system according to claim 1, characterized in that: The fever warning unit includes a data management module, a data classification module and a data analysis and comparison module electrically connected thereto. The data management module is signal-connected to the data classification module, and the data classification module is signal-connected to the data analysis and comparison module.

5. A rotary kiln support wheel bearing temperature monitoring and heating early warning system according to claim 1, characterized in that: The fever warning unit also includes an evaluation module electrically connected thereto, and the evaluation module is used to evaluate the temperature monitoring and fever conditions of the support roller bearing in the health monitoring management platform, and the evaluation module is signal-connected to the health monitoring management platform.

6. A rotary kiln support wheel bearing temperature monitoring and heating early warning system according to claim 1, characterized in that: The health monitoring management platform is signal-connected to an infrared thermal imaging camera and a visible light camera. The infrared thermal imaging camera is used to scan the position to be measured in the support roller bearing to obtain a thermal image of the position to be measured, and transmit the information back to the health monitoring management platform. The visible light camera is used to scan the position to be measured in the support roller bearing to obtain an image of the position to be measured, and transmit the information back to the health monitoring management platform.

7. The rotary kiln support wheel bearing temperature monitoring and heating early warning system according to claim 1 is characterized in that: The health monitoring management platform is also signal-connected to an alarm module and a user interface. The alarm module is used to execute an alarm according to an alarm signal sent by the health monitoring management platform. The user interface allows a user to view real-time data, historical data and alarm records.

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