Online monitoring system for coal mine main ventilator

Abstract

The utility model relates to an on-line monitoring system for a main ventilator of a coal mine. The monitoring system comprises a PLC measurement and control system, a network communication device and an online monitoring platform, the PLC measurement and control system comprises a fan measurement and control system and an environment measurement and control system, and the fan measurement and control system and the environment measurement and control system conduct real-time data monitoring on a main fan system and the environment through a plurality of sensors respectively. The data is uploaded to the on-line monitoring platform for intelligent diagnosis through the network communication equipment, and the on-line monitoring platform issues an operation instruction to the fan measurement and control system through the network communication equipment to remotely control the main ventilator. According to the on-line monitoring system for the coal mine main ventilator, the performance and convenience of a remote monitoring function are improved through the on-line monitoring platform, real-time monitoring, fault diagnosis, data analysis and processing and remote operation of mine production conditions are achieved, stable operation of system equipment is ensured, and the working efficiency is improved. And the stability of data transmission and the reliability and safety of the monitoring system are improved.

Description

Technical Field

[0001] The utility model relates to the field of coal mine ventilation, in particular to an online monitoring system for a main ventilation fan of a coal mine. Background Art

[0002] Mine ventilators are one of the important safety equipment in mines. The normal operation of ventilators is directly related to the normal safe production of mines and the life safety of personnel.

[0003] The current centralized monitoring system for mine main ventilation fans has some technical defects and deficiencies. Many monitoring screens are monotonous and lack a sense of reality. They are usually static monitoring interfaces that lack interactivity and real-time performance, and users cannot flexibly operate and adjust the monitoring screens. Some monitoring systems can only display monitoring screens and lack other visual representations, which limits monitoring analysis and decision-making. The layout is chaotic and the operation is complicated, resulting in a poor user experience. Moreover, problems such as limited remote monitoring functions, insufficient fault diagnosis capabilities, and insufficient data processing and analysis capabilities will prevent the monitoring system from accurately identifying the cause of the fault and conducting in-depth data mining and analysis. Utility Model Content

[0004] In view of this, the utility model provides an online monitoring system for a main ventilation fan in a coal mine, thereby solving or at least alleviating one or more of the above-mentioned problems and other problems existing in the prior art.

[0005] In order to achieve the aforementioned objectives, the first aspect of the utility model provides an online monitoring system for a main ventilation fan in a coal mine, wherein the monitoring system includes a PLC measurement and control system, a network communication device and an online monitoring platform, wherein the PLC measurement and control system includes a fan measurement and control system and an environmental measurement and control system, the fan measurement and control system and the environmental measurement and control system respectively perform real-time data monitoring of the main ventilation fan system and the environment through multiple sensors, and upload the data to the online monitoring platform through the network communication device for intelligent diagnosis, and the online monitoring platform issues operation instructions to the fan measurement and control system through the network communication device to remotely control the main ventilation fan.

[0006] In the monitoring system as described above, optionally, the network communication equipment includes a switch and a cloud server. The switch is connected to the PLC measurement and control system via a cable to obtain data information of the main fan system and the environment and upload it to the cloud server via Ethernet. The switch and / or the cloud server are used to connect to the monitoring center host and access the equipment of the online monitoring platform.

[0007] In the monitoring system as described above, optionally, the online monitoring platform includes a data acquisition module, a data transmission module, and a data storage and analysis module. The data acquisition module receives data information from the multiple sensors, and transmits the data information to the cloud server through the data transmission module for viewing by the monitoring center host or the device accessing the online monitoring platform. The data storage and analysis module stores the data information and generates reports, trend charts and statistical data based on the data information.

[0008] In the monitoring system as described above, optionally, the online monitoring platform integrates the main fan system and environmental three-dimensional model based on BIM construction, imports the data information of the multiple sensors into the three-dimensional model to perform dynamic simulation of the operation of the main fan system, and provides a visual interactive interface for the real-time operating status and data of the main fan in the environment.

[0009] In the monitoring system as described above, optionally, the multiple sensors include: a negative pressure sensor, a static pressure sensor, an air volume sensor, a wind tunnel sensor, a surge sensor, a damper sensor, a motor temperature sensor, and a motor power sensor in the fan measurement and control system; and a CO sensor, a wind speed sensor, a CO2 sensor, a hydrogen sulfide sensor, an ambient temperature sensor, and a smoke sensor in the environmental measurement and control system.

[0010] In the monitoring system as described above, optionally, the monitoring system also includes a video server and a camera installed underground in the coal mine. The camera transmits the on-site conditions of the main ventilation fan system and the environment captured by the camera to the video server via a cable, and the video server uploads the video to the cloud server via the switch for user access.

[0011] In the monitoring system as described above, optionally, the online monitoring platform also includes an alarm module, in which the threshold range of the multiple sensors is preset. Once the data of the multiple sensors is monitored to exceed the threshold range, the alarm module provides sound alarms and visual alarms and issues an on-site alarm to the on-site PLC measurement and control system through the switch.

[0012] In the monitoring system as described above, optionally, the online monitoring platform further includes a fault diagnosis module, and the fault diagnosis module is designed according to the following steps:

[0013] Step S1: establishing a mathematical model of the main fan system and the environment based on the dynamic equation of the main fan and the principle of fluid mechanics;

[0014] Step S2: acquiring data information of the main fan system through the multiple sensors, and preprocessing the data information;

[0015] Step S3: establishing a fault diagnosis model based on the mathematical model and the processed data information;

[0016] Step S4: using the fault diagnosis model to analyze and diagnose the data information measured by the multiple sensors, and identify and predict the fault of the main fan system;

[0017] Step S5: Compare and test the fault data predicted by the fault diagnosis model with the actual fault data to verify and optimize the fault diagnosis model.

[0018] In the monitoring system as described above, optionally, the preprocessing includes performing denoising, digital filtering and alignment operations on the data.

[0019] In the monitoring system as described above, optionally, the fan measurement and control system is capable of remote control and local automatic control: the user selects the main fan in remote control standby state through the window interface of the online monitoring platform for remote control operation; when the Ethernet is disconnected, the operator performs local automatic operation through the fan button on the PLC cabinet door in the on-site PLC measurement and control system to start and stop the main fan, and the entire start and stop process is automatically executed and controlled by the program of the PLC cabinet.

[0020] The utility model discloses an online monitoring system for a main ventilation fan in a coal mine. The performance and convenience of a remote monitoring function are improved through an online monitoring platform, and real-time monitoring, fault diagnosis, data analysis and processing, and remote operation of the mine production situation are realized, thereby ensuring the stable operation of system equipment, and improving the stability of data transmission and the reliability and safety of the monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The disclosure of the present invention will become more apparent with reference to the accompanying drawings. It should be understood that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present invention. In the drawings:

[0022] Figure 1 The utility model is a structural schematic diagram of an embodiment of an online monitoring system for a main ventilation fan in a coal mine.

[0023] Figure numbers: 1-PLC measurement and control system; 2-fan measurement and control system; 3-environmental measurement and control system; 4-switch; 5-cloud server. DETAILED DESCRIPTION

[0024] With reference to the accompanying drawings and specific embodiments, the structure, composition, characteristics and advantages of the online monitoring system for the main ventilation fan of a coal mine of the present invention will be described below in an exemplary manner. However, all descriptions should not be used to form any limitation on the present invention.

[0025] In addition, for any single technical feature described or implied in the embodiments mentioned in this document, or any single technical feature displayed or implied in the drawings, the present invention still allows for any combination or deletion of these technical features (or their equivalents) without any technical obstacles, and thus it should be considered that these more embodiments according to the present invention are also within the scope of the description in this document.

[0026] Figure 1 The utility model is a structural schematic diagram of an embodiment of an online monitoring system for a main ventilation fan in a coal mine.

[0027] from Figure 1 It can be seen that the monitoring system may include a PLC measurement and control system 1, network communication equipment and an online monitoring platform.

[0028] The PLC measurement and control system 1 may include a fan measurement and control system 2 and an environment measurement and control system 3. The PLC measurement and control system 1 performs real-time data monitoring of the main fan system and the environment through multiple sensors, and continuously monitors the negative pressure, static pressure, air volume, shaft temperature, current, voltage, vibration and other parameters of the mine main fan, as well as the operation status of the wind tunnel damper and the start and stop of the fan online.

[0029] Among them, the fan measurement and control system 2 is based on the PLC electric control box and can be connected with negative pressure sensors, static pressure sensors, air volume sensors, wind tunnel sensors, surge sensors, vibration sensors, damper sensors, motor temperature sensors and motor power sensors to read the measurement parameters of each sensor and the power of the motor. The surge monitored by the surge sensor will produce pressure or flow loss, causing frequent vibration of adjacent ducts and mechanical parts. The vibration sensor is a vibration pickup installed on the base of the fan. The PLC electric control box of the fan measurement and control system 2 can remotely control and automatically control the main fan on site, switch the fan, reverse wind, frequency conversion air adjustment or blade angle adjustment, etc., to achieve unmanned operation, and the operator can realize real-time monitoring and control of the parameters of the main fan and auxiliary machine in the control room.

[0030] The environmental measurement and control system 3 is based on the PLC electric control box and can be connected with CO sensors, wind speed sensors, CO 2Sensors, hydrogen sulfide sensors, ambient temperature sensors and smoke sensors are used to read the environmental parameters of each sensor, focusing on measuring the concentration of harmful gases and flammable gases to ensure the safety of the main fan system. The above multiple sensors are connected to the two PLC electric control boxes of the PLC measurement and control system 1 through analog signals. The I / O interface of each PLC electric control box should have no less than 10% spare capacity to expand more sensor monitoring equipment. Each main fan can be equipped with two PLC electric control boxes to monitor each main fan system and environment separately, independently and mutually monitoring each other.

[0031] In order to further improve the compatibility and accuracy of the PLC measurement and control system 1, the PLC measurement and control system 1 can be equipped with a transmitter to output a standard signal, and more controllers can be used to accurately control the start and stop of the damper and the motor.

[0032] The real-time data monitored by the multiple sensors of the PLC measurement and control system 1 are uploaded to the online monitoring platform through the network communication device for intelligent diagnosis. Specifically, the network communication device may include a switch 4 and a cloud server 5. The switch 4 is connected to the above-mentioned PLC measurement and control system 1 through a cable to obtain the data information of the main fan system and the environment measured by the sensor, and upload it to the switch 4 or the cloud server 5 through Ethernet. The cloud server 5 can be used as a monitoring center to connect the monitoring host and other devices that need to access the online monitoring platform. The switch 4 can be connected to the monitoring equipment in the on-site control room, such as the monitoring center host, and the cloud server 5 can expand other access devices. In this embodiment, the PLC electric control box and sensors of the PLC measurement and control system 1 have an Ethernet communication interface, and all information data of the main fan system are uploaded to the monitoring center through the mine industrial Ethernet to realize the uploading and downloading of information.

[0033] In this embodiment, the online monitoring platform issues operation instructions to the fan control system 2 through the network communication device to remotely control the main fan. The remote control can be operated by the operator in the mine dispatching room, and the switch 4 connected through the Ethernet then issues the operation command to the PLC control system, and the on-site PLC electric control box controls various operations and detects feedback signals.

[0034] The online monitoring platform may include a data acquisition module, a data transmission module, and a data storage and analysis module. Specifically, the data acquisition module receives data information from the multiple sensors of the PLC measurement and control system 1, such as air volume, wind speed, pressure, temperature and other data, and transmits the data information of the multiple sensors to the cloud server 5 through the data transmission module for viewing by the monitoring center host or the device accessing the online monitoring platform. The data transmission module can adopt wired or wireless communication methods to ensure the timeliness and security of the data. The data storage and analysis module stores the data information of the multiple sensors and generates reports, trend charts and statistical data based on the data information.

[0035] The online monitoring platform dynamically displays the changing trends of various parameters over time in XY axis graphics, which is conducive to timely detection of fan system faults, analysis of monitoring data, generation of reports, trend charts and statistical data, and helps managers intuitively understand the operating status and trends of the fan system and conduct real-time monitoring and operation.

[0036] In an optional embodiment, the monitoring parameters may include the fan inlet static pressure, air volume, motor power, A-phase current, A-phase voltage; fan bearing temperature, motor winding temperature; fan vibration, fan start and stop signal, and positive and negative wind signals. According to the static pressure and pressure difference detection signals, the static pressure, air volume, wind speed and efficiency curves are drawn, and historical data query is provided. The online monitoring platform stores the monitoring parameters in the hard disk at a fixed time, so that users can print data reports for the whole month, and also for the management department to view and analyze relevant data to strengthen the management of the ventilator.

[0037] In addition, the online monitoring platform can also provide operating point display, accident alarm and recall functions. It can display the operating point of the fan on the performance curve of the fan and automatically generate the mine ventilation resistance curve. When the fan operation is abnormal, the system can give an alarm prompt on each related interface.

[0038] like Figure 1 As shown, the monitoring system may also include a video server and a camera installed underground in a coal mine. The camera transmits the captured on-site conditions of the main fan system and the environment to the video server via a cable. The video server then uploads the captured conditions to a cloud server 5 via a switch 4 for access by multiple users.

[0039] The utility model develops a remote monitoring APP or platform suitable for mobile devices, which makes it convenient for users to monitor through mobile phones or tablets anytime and anywhere, and improves the convenience and flexibility of remote monitoring functions. Users can also remotely adjust the parameters and operating status of the monitored equipment, improving the intelligence and convenience of remote monitoring functions.

[0040] In an optional embodiment, the online monitoring platform may further include an alarm module, in which the threshold ranges of multiple sensors may be preset. Once the sensor data is detected to exceed the threshold range, the alarm module may provide an audible alarm and a visual alarm, and issue an on-site alarm to the on-site PLC control system 1 through the switch 4, reminding the management personnel to deal with the problem in time. The threshold range may be a range of parameter values, or a duration for which a parameter exceeds a certain value.

[0041] In such Figure 1 In the embodiment shown, the online monitoring platform may also include a fault diagnosis module. The utility model develops such an intelligent diagnosis module, which can automatically identify and analyze fault information in the monitoring system, and improve the accuracy and efficiency of fault diagnosis. Of course, in practical applications, those skilled in the art may also form a special fault diagnosis expert group to be responsible for timely diagnosis and processing of faults occurring in the monitoring system, and improve the professional level and effect of fault diagnosis.

[0042] Specifically, the fault diagnosis module is designed according to the following steps:

[0043] Step S1: Establish a mathematical model of the main fan system and environment based on the dynamic equation of the main fan and the principle of fluid mechanics. The mathematical model essentially includes the structure, working principle, sensor data, etc. of the main fan.

[0044] 3D modeling technology can provide a more accurate and intuitive visual interactive interface, which helps design engineers better understand the structure and operation of the system. During the modeling process, technicians in this field can use 3D modeling software such as AutoCAD, Revit, etc. to model and assemble the various components of the ventilation system, such as fans, pipes, vents, air conditioning boxes, etc., into a complete ventilator system.

[0045] Step S2: data acquisition and processing, obtaining data information of the main fan system through the multiple sensors, and preprocessing the data information. The preprocessing may include denoising, digital filtering and alignment operations on the data.

[0046] Since the industrial monitoring environment is relatively harsh and there are many interference sources, such as ambient temperature, electric and magnetic fields, vibration, etc., in order to reduce the interference to the sampled values ​​and improve the performance of the system, the sampled values ​​are digitally filtered before data processing, that is, the sampled signals are smoothed through a certain calculation program to enhance their useful signals and eliminate or reduce various interferences and noises to ensure the reliability of the computer system. A composite filtering algorithm is used in the application program. Composite filtering is a combination of median filtering and arithmetic mean filtering. This filtering algorithm is mainly suitable for smoothing pressure, flow and other signals. The characteristic of this type of signal is that the signal often fluctuates around a certain value range, that is, the interference is periodic.

[0047] Step S3: Establish a fault diagnosis model based on the mathematical model and the processed data information. Extract useful features from the data to describe the state and performance of the system. Selecting appropriate features can improve the accuracy and reliability of the fault diagnosis model.

[0048] Step S4: Analyze and diagnose the data information measured by the multiple sensors using the fault diagnosis model, and also combine real-time monitoring and historical data analysis to identify and predict the faults of the main fan system.

[0049] Step S5: Compare and test the fault data predicted by the fault diagnosis model with the actual fault data, verify and optimize the fault diagnosis model, and continuously improve the accuracy and robustness of the model algorithm. In this way, a complete fault recording and analysis mechanism can be established to record and analyze the faults that occur in the fan system, summarize the experience and lessons of fault handling, and continuously optimize the process and method of fault diagnosis.

[0050] Specifically, the online monitoring platform integrates the main fan system and environmental three-dimensional model based on BIM construction, imports the data information of the multiple sensors into the three-dimensional model to dynamically simulate the operation of the main fan system, and provides a visual interactive interface for the real-time operation status and data of the main fan in the environment.

[0051] Fans, shafts, equipment and facilities can all be built into object-oriented three-dimensional models, and three-dimensional ventilation stereograms, two-dimensional ventilation network diagrams, and two-dimensional or three-dimensional wind flow diagrams can be quickly generated. With the help of BIM technology, it is possible to visualize the underground environment, including tunnels, working faces, and on-site equipment. This high-precision modeling can also be refined to the display of equipment cable ports. The building structure display based on the three-dimensional model, including equipment operating conditions, wind speed, air volume, dust concentration, harmful gas concentration, etc., can all be viewed in the three-dimensional model. In this embodiment, the information and basic data of each ventilator are imported into the visualization platform to facilitate the search for corresponding configuration information. At the same time, the data can also be mapped to each device to achieve visual asset configuration management.

[0052] The three-dimensional modeling interactive interface mainly displays the operating status of the ventilator and the damper switching status in three-dimensional animated graphics, and displays real-time monitoring data in a table with alarm indications, which can more clearly display the structure, layout and connection relationship of the system, and facilitate design and evaluation. The ventilator system is dynamically simulated through three-dimensional modeling software to simulate the operation of the ventilator system under different working conditions, including changes in parameters measured by sensors such as air volume, wind speed, and temperature. This helps to evaluate the performance and effect of the ventilator system, identify potential problems and optimize them. The utility model integrates three-dimensional modeling with a monitoring system, realizes real-time monitoring and visual display of the ventilator system, and displays the status, operation status and data information of each component of the system through a three-dimensional model, helping operators to more intuitively understand the system operation and promptly discover and handle abnormalities.

[0053] In this embodiment, the fan measurement and control system 2 can perform remote control and local automatic control on the main fan system.

[0054] If the door of the PLC electric control box lights up, it means that the fan monitored by this PLC has the necessary conditions for automatic operation, such as the motor high-voltage starting cabinet has no fault, the control system of this fan has no fault alarm, the damper local box is in automatic mode, the frequency converter is in automatic start-stop state, the motor high-voltage starting cabinet circuit breaker is in remote control standby state, and the damper control circuit of this machine has no fault, etc., so it can be operated in automatic mode. The user runs the window interface of the online monitoring platform through the industrial control configuration software of the mobile device to select the main fan in remote control standby state for remote control operation, press the "start" button to start this fan; press the "stop" button to stop this fan. The entire start and stop process is controlled by the automatic operation program, and the manual operation button at the bottom of the cabinet door is invalid at this time. When the Ethernet is disconnected, the operator performs local automatic operation through the fan button on the PLC cabinet door in the PLC measurement and control system 1 on site to start and stop the main fan. The entire start and stop process is automatically executed and controlled by the program of the PLC cabinet.

[0055] When a fault occurs in the PLC electrical control box or the fan system, the emergency start-up mode cannot be used when the automatic program control is not possible. At this time, the operator can use the manual operation buttons on the inverter cabinet and the electrical control box door, such as the "close" and "open" buttons, to start and stop the fan motor, and the "open" and "close" buttons to control the opening and closing of the damper.

[0056] The utility model provides an online monitoring system for the main ventilation fan of a coal mine, which can carry out all-round monitoring of the underground environment, equipment, communication network, etc., including the working voltage, power, motor temperature, ventilation volume, etc. of the main and local ventilation fans, and monitor the data of gas detection sensors, wind measuring stations, etc. at each location. The performance and convenience of the remote monitoring function are improved through the online monitoring platform, and real-time monitoring, fault diagnosis, data analysis and processing, and remote operation of the mine production situation are realized, thereby ensuring the stable operation of the system equipment and improving the stability of data transmission as well as the reliability and safety of the monitoring system.

[0057] The technical scope of the present invention is not limited to the contents in the above description. Those skilled in the art can make various deformations and modifications to the above implementation without departing from the technical idea of ​​the present invention, and these deformations and modifications should all fall within the scope of the present invention.

Claims

1. An online monitoring system for main ventilation fans in coal mines, characterized in that: The monitoring system comprises a PLC measurement and control system (1), a network communication device, and an online monitoring platform, wherein the PLC measurement and control system (1) comprises a fan measurement and control system (2) and an environment measurement and control system (3), the fan measurement and control system (2) and the environment measurement and control system (3) respectively monitor the main fan system and the environment in real time through a plurality of sensors, and upload the data to the online monitoring platform through the network communication device for intelligent diagnosis, and the online monitoring platform issues an operation instruction to the fan measurement and control system (2) through the network communication device to remotely control the main fan; the network communication device comprises a cloud server (5); the online monitoring platform comprises a data acquisition module, a data transmission module, and a control module. The data acquisition module receives data information from the multiple sensors, transmits the data information to the cloud server (5) through the data transmission module for viewing by a host computer of a monitoring center or a device accessing the online monitoring platform, and the data storage and analysis module stores the data information and generates reports, trend charts and statistical data based on the data information; the online monitoring platform integrates a main ventilation fan system and an environmental three-dimensional model based on BIM construction, imports the data information of the multiple sensors into the three-dimensional model to perform a dynamic simulation of the operation of the main ventilation fan system, and provides a visual interactive interface of the real-time operation status and data of the main ventilation fan in the environment.

2. The monitoring system according to claim 1, characterized in that: The network communication device further comprises a switch (4), wherein the switch (4) is connected to the PLC measurement and control system (1) via a cable to obtain data information of the main fan system and the environment and upload the data information to the cloud server (5) via Ethernet, and the switch (4) and / or the cloud server (5) are used to connect to the monitoring center host and access the equipment of the online monitoring platform.

3. The monitoring system according to claim 2, characterized in that: The monitoring system also includes a video server and a camera installed in the coal mine. The camera transmits the on-site conditions of the main ventilation fan system and the environment captured by the camera to the video server via a cable. The video server uploads the video to the cloud server (5) via the switch (4) for user access.

4. The monitoring system according to claim 2, characterized in that: The online monitoring platform further comprises an alarm module, in which a threshold range of the plurality of sensors is preset. Once the data of the plurality of sensors detected exceeds the threshold range, the alarm module provides an audible alarm and a visual alarm and issues an on-site alarm to the on-site PLC measurement and control system (1) via the switch (4).

5. The monitoring system according to claim 1 or 2, characterized in that: The multiple sensors include: a negative pressure sensor, a static pressure sensor, an air volume sensor, a wind tunnel sensor, a surge sensor, a damper sensor, a motor temperature sensor, and a motor power sensor in the fan measurement and control system (2); and a CO sensor, a wind speed sensor, a CO2 sensor, a hydrogen sulfide sensor, an ambient temperature sensor, and a smoke sensor in the environment measurement and control system (3).

6. The monitoring system according to claim 1 or 2, characterized in that: The fan measurement and control system (2) is capable of remote control and local automatic control: the user selects the main fan in the remote control standby state through the window interface of the online monitoring platform to perform remote control operation; when the Ethernet is disconnected, the operator performs local automatic operation through the fan button on the PLC cabinet door in the on-site PLC measurement and control system (1) to start and stop the main fan, and the entire start and stop process is automatically executed and controlled by the program of the PLC cabinet.

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