Automatic monitoring control method, device and system for main ventilator of coal mine

Abstract

The application provides an automatic monitoring control method, device and system for a main ventilation fan of a coal mine, relates to the technical field of data processing and the technical field of automatic monitoring. The method comprises the following steps: obtaining a fan performance curve of the main ventilation fan and a ventilation resistance characteristic curve of the mine; determining a target working condition point based on the fan performance curve and the ventilation resistance characteristic curve, and obtaining multi-dimensional operation data of the target working condition point; judging whether the main ventilation fan has an operation abnormality based on the multi-dimensional operation data of the target working condition point; in response to the main ventilation fan having the operation abnormality, determining a first device that has a fault, generating an alarm information according to operation data of the first device, and enabling a second device associated with the first device. In the application, the safety and reliability of the main ventilation fan can be improved, the coal production efficiency and safety can be improved, the production fault probability can be reduced, and the loss or accident caused by the equipment fault can be avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing and the technical field of automatic monitoring, and in particular relates to an automatic monitoring control method, device and system for a coal mine main ventilator. BACKGROUND

[0002] In related technologies, a mine main ventilator is the most important ventilation equipment in a coal mine, and reliable operation of the main ventilator is a necessary prerequisite for ensuring safe and normal performance of coal mining operations. The main task of the main ventilator is to transport fresh air to the underground mine and control the concentration of harmful gases, gas and dust in the underground mine. If the ventilation system fails, it will bring serious safety hazards to the underground production operation.

[0003] Therefore, how to improve the safety and reliability of the main ventilator, and thus improve the coal production efficiency and safety, reduce the probability of production failure, and avoid losses or accidents caused by equipment failure, has become one of the important research directions. SUMMARY

[0004] The present application aims to at least partly solve one of the technical problems in the related art.

[0005] An automatic monitoring control method for a coal mine main ventilator is provided in the first aspect of the present application, comprising:

[0006] obtaining a fan performance curve of the main ventilator and a ventilation resistance characteristic curve of the mine;

[0007] determining a target working condition point based on the fan performance curve and the ventilation resistance characteristic curve, and obtaining multi-dimensional running data of the target working condition point;

[0008] judging whether the main ventilator has running abnormities based on the multi-dimensional running data of the target working condition point;

[0009] in response to the main ventilator having running abnormities, determining a first device that has failed, generating an alarm information according to running data of the first device, and enabling a second device associated with the first device.

[0010] In some embodiments, determining the target working condition point based on the fan performance curve and the ventilation resistance characteristic curve comprises:

[0011] determining a first working condition point of the main ventilator based on an intersection point of the fan performance curve and the ventilation resistance characteristic curve;

[0012] in response to the first working condition point being consistent with a second working condition point, determining that the first working condition point is the target working condition point, and the second working condition point is any one of a plurality of preset working condition points.

[0013] In some embodiments, the method further comprises:

[0014] In some embodiments, the method further comprises:

[0015] In some embodiments, the method further comprises:

[0016] In some embodiments, the method further comprises:

[0017] In some embodiments, the method further comprises:

[0018] In some embodiments, the method further comprises:

[0019] In some embodiments, the method further comprises:

[0020] In some embodiments, the method further comprises:

[0021] In some embodiments, the method further comprises:

[0022] In some embodiments, the method further comprises:

[0023] In some embodiments, the method further comprises:

[0024] In some embodiments, the method further comprises:

[0025] In some embodiments, the method further comprises:

[0026] In some embodiments, the method further comprises:

[0027] In some embodiments, the second obtaining module is further configured to: determine a first working condition point of the main fan based on an intersection of the fan performance curve and the ventilation resistance characteristic curve; and in response to the first working condition point being consistent with a second working condition point, determine that the first working condition point is a target working condition point and the second working condition point is any working condition point in the plurality of preset working condition points.

[0028] In some embodiments, the determining module is further configured to: for target running data of any dimension in the multi-dimensional running data, obtain a standard data range corresponding to the target running data; and in response to the target running data not belonging to the standard data range, determine that the main fan has a running abnormality.

[0029] In some embodiments, the determining module is further configured to: in response to the target running data being a vibration signal, perform signal processing on the target running data by using an envelope demodulation technology, and obtain the target running data after the signal processing.

[0030] In some embodiments, the multi-dimensional running data is collected by one or more sensors associated with any device in an automatic monitoring and control system of the coal mine main fan, and the processing module is further configured to: obtain a target sensor that collects the target running data; and determine a device associated with the target sensor as a first device that has a fault.

[0031] The third aspect of the embodiments of the present application provides an automatic monitoring and control system of a coal mine main fan, which comprises a power supply module, a main fan module, a sensor module, and a central processing module, wherein:

[0032] The power supply module is connected with the main fan module and is configured to supply power.

[0033] The main fan module is connected with the sensor module and is configured to ventilate a mine.

[0034] The sensor module is connected with the central processing module and the central processing module, and is configured to collect running data of the sensor module and send the running data to the central processing module.

[0035] The central processing module is configured to analyze the running data and switch a device having a fault in each module to another device associated with the device.

[0036] In some embodiments, the system further comprises a switch, an industrial computer, and a mine safety monitoring center, wherein:

[0037] The switch is connected with the central processing module, the industrial computer, and the mine safety monitoring center, respectively, and is configured to forward an interaction signal between the industrial computer and the central processing module, or to forward an interaction signal between the mine safety monitoring center and the central processing module.

[0038] The industrial computer is configured to control running of the system.

[0039] The mine safety monitoring center is used for monitoring the running state of the main ventilator on line.

[0040] In some embodiments, the power supply module comprises N power supplies associated with each other, the main ventilator module comprises N main ventilators associated with each other, and the sensor module comprises N sensor groups associated with each other, wherein the i th main ventilator is connected with the i th sensor group, the i th power supply is connected with the N main ventilators respectively, N is an integer greater than 1, and i is a positive integer less than or equal to N.

[0041] In some embodiments, the central processing module comprises an input and output (IO) module, a PROFINET redundant network, and a central processor, wherein:

[0042] The IO module is connected with the N sensor groups respectively, and is used for various types of signal input and control output.

[0043] The central processor is connected with the IO module, and is used for data exchange with the IO module. The central processor comprises a first central processor and a second central processor associated with each other.

[0044] The PROFINET redundant network is connected with the first central processor, the second central processor, and the IO module respectively, and is used for device communication.

[0045] The fourth aspect of the present application provides an electronic device, comprising:

[0046] at least one processor; and

[0047] a memory in communication connection with the at least one processor; wherein

[0048] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the automatic monitoring and control method of the coal mine main ventilator provided in the first aspect of the present application.

[0049] The fifth aspect of the present application provides a computer readable storage medium, which stores computer instructions, wherein the computer instructions are used to enable a computer to execute the automatic monitoring and control method of the coal mine main ventilator provided in the first aspect of the present application.

[0050] The sixth aspect of the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the automatic monitoring and control method of the coal mine main ventilator provided in the first aspect of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1is a structural diagram of an automatic monitoring control system of a coal mine main ventilator according to an embodiment of the present application;

[0052] Figure 2 is a flow chart of an automatic monitoring control method of a coal mine main ventilator according to an embodiment of the present application;

[0053] Figure 3 is a flow chart of an automatic monitoring control method of a coal mine main ventilator according to an embodiment of the present application;

[0054] Figure 4 is a schematic diagram of an automatic monitoring control method of a coal mine main ventilator according to an embodiment of the present application;

[0055] Figure 5 is a flow chart of an automatic monitoring control method of a coal mine main ventilator according to an embodiment of the present application;

[0056] Figure 6 is a schematic diagram of an automatic monitoring control method of a coal mine main ventilator according to an embodiment of the present application;

[0057] Figure 7 is a structural block diagram of an automatic monitoring control device of a coal mine main ventilator according to an embodiment of the present application;

[0058] Figure 8 is a structural schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0059] Embodiments of the present application are described in detail below with reference to examples thereof shown in the attached drawings, wherein the same or similar numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by reference to the drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0060] The automatic monitoring control method, device and system of a coal mine main ventilator according to an embodiment of the present application are described below in conjunction with the drawings.

[0061] Figure 1 is a structural diagram of an automatic monitoring control system of a coal mine main ventilator according to an embodiment of the present application, as Figure 1 shown, the system comprises a power module, a main ventilator module, a sensor module, a central processing module, wherein:

[0062] The power module is connected with the main ventilator module, for power supply;

[0063] The main ventilator module is connected with the sensor module, for mine ventilation;

[0064] The sensor module is connected with the central processing module, and is used for collecting operation data of the sensor module and sending the operation data to the central processing module.

[0065] The central processing module is used for analyzing the operation data and switching a faulty device in each module to another device associated with the device.

[0066] In some embodiments, the system further comprises a switch, an industrial personal computer and a mine safety monitoring center, wherein:

[0067] The switch is connected with the central processing module, the industrial personal computer and the mine safety monitoring center respectively, and is used for forwarding interactive signals between the industrial personal computer and the central processing module or for forwarding interactive signals between the mine safety monitoring center and the central processing module.

[0068] The industrial personal computer is used for controlling operation of the system.

[0069] The mine safety monitoring center is used for monitoring an operation state of the main ventilator online.

[0070] The programmable logic controller is a digital operation electronic system specially designed for application in an industrial environment. It adopts a programmable memory to store instructions for performing logic operation, sequential control, timing, counting and arithmetic operation in the internal memory, and controls various types of mechanical equipment or production processes through digital or analog input and output.

[0071] The switch (Switch) means "switch", which is a network device used for forwarding electric (optical) signals. It can provide a dedicated electric signal path for any two network nodes connected to the switch. The most common switch is an Ethernet switch.

[0072] The industrial personal computer (Industrial Personal Computer-IPC) is a kind of reinforced enhanced personal computer, which can be used as an industrial controller to reliably operate in an industrial environment.

[0073] In some embodiments, the power module comprises N power sources associated with each other, the main ventilator module comprises N main ventilators associated with each other, and the sensor module comprises N sensor groups associated with each other, wherein the ith main ventilator is connected with the ith sensor group, the ith power source is connected with the N main ventilators respectively, N is an integer greater than 1, and i is a positive integer less than or equal to N.

[0074] Taking two power sources as an example, the power module can perform double-circuit power automatic switching. When one of the power sources is powered off, the system automatically switches to the other power source, thereby ensuring power supply to the maximum extent and ensuring high-reliability power supply.

[0075] In some embodiments, the central processing module comprises an input-output (IO) module, an automation communication PROFINET redundant network, and a central processor, wherein:

[0076] The IO module is connected with N sensor groups respectively, and is used for various types of signal input and control output.

[0077] The IO module comprises an IO device and an IO extension module connected with each other. The IO device is a PROFINET IO device supporting a redundant protocol. Taking two central processing units (CPUs) as an example, the IO device can simultaneously establish a communication relationship with two PROFINET IO controllers (CPUs). The PROFINET IO controllers are divided into a main controller and a backup controller. Only the main controller performs normal IO data exchange with the IO device. When the main controller is disconnected due to a fault, the backup controller automatically switches to the main controller and starts normal data exchange with the IO device. The IO device extension module is mainly responsible for various types of signal input and control output. The module supports hot plug and can quickly restore the normal operation of the system in a state of uninterrupted power supply.

[0078] The central processor is connected with the IO module and is used for data exchange with the IO module. The central processor comprises a first central processor and a second central processor associated with each other.

[0079] Taking two central processing units (CPUs) as an example, the central processing module comprises two programmable logic controllers (PLCs) that are hot backups of each other, namely a first CPU and a second CPU. When one of the PLCs fails, the other PLC is automatically enabled.

[0080] The PROFINET redundant network is connected with the first central processor, the second central processor, and the IO module, and is used for device communication.

[0081] The PROFINET is an industrial Ethernet system. The automation monitoring and control system of the coal mine main ventilator in the embodiments of the present application can realize all redundant communication functions from the I / O layer, the network layer, the PLC layer to the supervisory control and data acquisition (SCADA) layer. Each function group is established twice. For example, the PLC and the switch have both main system devices and backup system devices. When the main system and the backup system have different devices that fail at the same time, the whole system will not be affected and can continue to work.

[0082] That is, the devices in the PROFINET ring network support media redundancy (MRP), and the entire network forms a PROFINET redundant communication, so that the field devices can continue to work even if a network interruption occurs.

[0083] The automation monitoring control system of the coal mine main fan can maintain the normal operation of the main fan. If a device in the system fails, the standby device will automatically take over the program control work. The program can quickly recover operation, and the switching process is fast, smooth and without disturbance, and no data loss will occur.

[0084] Figure 2 The flowchart of the automation monitoring control method of the coal mine main fan according to an embodiment of the present application is shown in FIG. 1, which comprises the following steps: Figure 2

[0085] S201, obtaining a fan performance curve of the main fan and a ventilation resistance characteristic curve of the mine.

[0086] In some embodiments, a main fan performance curve database is established, that is, the wind pressure and air volume values of the main fan at multiple time points are obtained, and the fan performance curve, that is, the air volume-wind pressure curve of the main fan, is obtained according to the wind pressure and air volume values of the main fan at multiple time points. In the implementation, the air volume and the wind pressure are a pair of mutually restrictive parameters. Generally speaking, the greater the wind pressure, the smaller the air volume, and the greater the air volume, the smaller the wind pressure.

[0087] In some embodiments, the wind pressure and air volume values of the mine at multiple time points are obtained, and the ventilation resistance characteristic curve of the mine, that is, the air volume-wind pressure curve of the mine, is obtained according to the wind pressure and air volume values of the mine at multiple time points.

[0088] The execution subject of the embodiment of the present application is the aforementioned automation monitoring control system of the coal mine main fan, and the system is redundantly arranged.

[0089] S202, determining a target working condition point based on the fan performance curve and the ventilation resistance characteristic curve, and obtaining multi-dimensional running data of the target working condition point.

[0090] The intersection of the main fan characteristic curve and the mine ventilation resistance characteristic curve is shown in the intersection working condition point diagram, which displays the real-time working condition point data of the ground main fan of each return air shaft of the mine, that is, the multi-dimensional running data of the target working condition point.

[0091] In some embodiments, if the main fan characteristic curve intersects with the mine ventilation resistance characteristic curve, the intersection point is determined as the target working condition point, and the multi-dimensional running data of the main fan at the target working condition point is obtained based on one or more sensors deployed on the main fan and its connected devices.

[0092] ​For example, a temperature sensor, a pressure sensor are arranged at the lubricating oil station to measure the oil temperature and oil pressure of the lubricating oil station as the operation data of the main ventilator at the target working condition point. For another example, a temperature sensor and a vibration sensor are arranged at the bearing box to monitor the bearing temperature and bearing vibration signal of the motor as the operation data of the main ventilator at the target working condition point. For another example, a wind speed sensor and a negative pressure sensor are arranged in the air shaft to obtain the wind speed and negative pressure as the operation data of the main ventilator at the target working condition point.

[0093] In some embodiments, the wind pressure can also be obtained by a deployed wind pressure signal sensor and a differential pressure transmitter as the operation data of the main ventilator at the target working condition point; the air flow temperature can be obtained by a deployed air flow temperature sensor and a temperature and humidity transmitter as the operation data of the main ventilator at the target working condition point; the motor vibration signal can be obtained by a vibration sensor and a vibration transmitter arranged on the motor as the operation data of the main ventilator at the target working condition point; and the motor winding temperature can be obtained by a temperature sensor arranged on the motor as the operation data of the main ventilator at the target working condition point.

[0094] In some embodiments, the temperature and humidity data of the electric control cabinet can be obtained by a temperature sensor and a humidity sensor arranged on the electric control cabinet, respectively, as the operation data of the main ventilator at the target working condition point; the voltage and current data of the electric control cabinet can be obtained by a voltage sensor and a current sensor arranged on the electric control cabinet, respectively, as the operation data of the main ventilator at the target working condition point; and the opening and closing state of the air door can be obtained by a deployed air door signal sensor as the operation data of the main ventilator at the target working condition point, wherein the opening and closing state of the air door includes an open state, a closed state and an opening size.

[0095] S203, judging whether the main ventilator has an operation abnormality based on the multi-dimensional operation data of the target working condition point.

[0096] In the embodiments of the present application, whether the operation data of any dimension has an abnormality can be judged according to the judgment strategy corresponding to the operation data of the dimension. If any dimension operation data has an abnormality, it is determined that the main ventilator has an operation abnormality. If there is no abnormal operation data, it is determined that the main ventilator has no operation abnormality, and the main ventilator is currently operating normally.

[0097] In some embodiments, the judgment strategy corresponding to the operation data is that the operation data is within a preset range, and it is determined that the operation data has no abnormality, and the operation data is outside the preset range, and it is determined that the operation data has no abnormality. Taking the oil temperature and oil pressure of the lubricating oil station as the operation data of a certain dimension as an example, if the oil temperature of the lubricating oil station is within a preset oil temperature range and the oil pressure is within a preset oil pressure range, it is determined that the operation data of the dimension has no abnormality, otherwise it is determined that the operation data of the dimension has an abnormality.

[0098] In some embodiments, the judgment strategy corresponding to the operation data is: if the state indicated by the operation data is a preset state, it is determined that the operation data does not appear abnormal, otherwise it is determined that the operation data appears abnormal. For example, the operation data of a certain dimension indicates that the opening and closing state of the air door is an open state, if the preset state is an open state, it is determined that the operation data of this dimension does not appear abnormal, otherwise it is determined that the operation data of this dimension appears abnormal.

[0099] S204, in response to the existence of operation abnormality of the main ventilator, determining the first device that fails, generating alarm information according to the operation data of the first device, and enabling the second device associated with the first device.

[0100] The first device and the second device are master-slave devices.

[0101] If the main ventilator has operation abnormality, it means that one or more devices in the system fail, in some implementations, the main ventilator itself fails, resulting in operation abnormality, in some implementations, the device connected to the main ventilator fails, thereby affecting the main ventilator and causing operation abnormality. In the embodiment of the present application, the first device that fails can be determined according to the operation data, the alarm information can be generated according to the operation data of the first device, and the second device associated with the first device can be enabled.

[0102] Taking the abnormal operation data as an example, the first device that fails is the main ventilator, the alarm information generated according to the operation data of the first device can be "the motor of the main ventilator appears abnormal, please repair in time", and the second device associated with the first device, that is, another main ventilator associated with the main ventilator, is enabled.

[0103] In the embodiment of the present application, the performance characteristic curve database of the main ventilator is established, the main ventilator intelligent monitoring module displays the real-time working condition point data of the main ventilator of each return air shaft on the ground of the mine by the intersection working condition point graphical method of the main ventilator characteristic curve and the mine ventilation resistance characteristic curve, reflects the safety and rationality of the running state of the main ventilator, the matching degree between the main ventilator and the mine, and directly displays the current working condition point information, which is convenient for result display and judgment. The present application can realize the intelligent construction of the roadway air supply system, make the air volume regulation and management more accurate, controllable and real-time, provide efficient, stable, reliable and real-time data acquisition, storage, management and analysis functions, and can maintain the normal work of the main ventilator and avoid wasting resources.

[0104] Figure 3 The flow chart of the automatic monitoring and control method of the coal mine main ventilator is shown in FIG. Figure 3 As shown in the figure, the method comprises the following steps:

[0105] S301, obtaining the fan performance curve of the main ventilator and the ventilation resistance characteristic curve of the mine.

[0106] The content of step S301 can refer to the related description in the above embodiments, which will not be repeated here.

[0107] S302, determining the first working condition point of the main ventilator based on the intersection of the fan performance curve and the ventilation resistance characteristic curve.

[0108] Figure 4 is a schematic diagram of the target working condition point of an embodiment of the present application, as Figure 3 shown, in the embodiment of the present application, three working condition points are taken as examples for illustration, wherein, l1 is the ventilation resistance characteristic curve in the first time period, l2 is the ventilation resistance characteristic curve in the second time period, and l3 is the ventilation resistance characteristic curve in the third time period, the intersection of the fan performance curve and the ventilation resistance characteristic curve is determined as the first working condition point of the main ventilator in each time period, that is, M, M', and M''.

[0109] The relationship between ventilation resistance and air volume can be represented by the following formula:

[0110] H=RQ 2

[0111] Wherein, H represents the air pressure, R represents the air resistance, and Q represents the air volume.

[0112] S303, in response to the first working condition point being consistent with the second working condition point, determining that the first working condition point is the target working condition point, and the second working condition point is any working condition point in the plurality of preset working condition points.

[0113] In some implementations, the first working condition point is directly determined as the target working condition point, and in some implementations, the first working condition point is further screened, and if the first working condition point is consistent with the preset working condition point, the first working condition point is determined as the target working condition point.

[0114] S304, obtaining multi-dimensional running data of the target working condition point.

[0115] S305, judging whether the main ventilator has running abnormities based on the multi-dimensional running data of the target working condition point.

[0116] S306, in response to the main ventilator having running abnormities, determining the first device that has faults, generating alarm information according to the running data of the first device, and enabling the second device associated with the first device.

[0117] The content of steps S304-S306 can refer to the related description in the above embodiments, which will not be repeated here.

[0118] In this embodiment, the safety and reliability of the main ventilation fan can be improved, thereby increasing coal production efficiency and safety, reducing the probability of production failures, and avoiding losses or accidents caused by equipment failures.

[0119] Figure 5 This is a flowchart of an automated monitoring and control method for a coal mine main ventilation fan according to an embodiment of this application, as follows: Figure 5 As shown, the method includes the following steps:

[0120] S501, obtain the fan performance curve of the main ventilation fan and the ventilation resistance characteristic curve of the mine.

[0121] S502 determines the target operating point based on the fan performance curve and ventilation resistance characteristic curve, and obtains multi-dimensional operating data of the target operating point.

[0122] For details regarding steps S501 to S502, please refer to the relevant descriptions in the above embodiments; they will not be repeated here.

[0123] S503, for any dimension of target operational data in multi-dimensional operational data, obtain the standard data range corresponding to the target operational data.

[0124] like Figure 6 As shown in the embodiments of this application, the cause of vibration is analyzed by the magnitude of the vibration value and the spectral signal. In some implementations, in response to the target operating data being a vibration signal, high-definition vibration acceleration envelope demodulation technology is used to process the target operating data and obtain the processed target operating data. Using high-definition vibration acceleration envelope demodulation technology, useful fault signals can be extracted from strong interference noise, and compared to traditional vibration technology, it can more accurately locate equipment foundation faults.

[0125] In some implementations, there is a mapping relationship between runtime data and standard data ranges, and the standard data range corresponding to the target runtime data can be obtained based on the mapping relationship.

[0126] S504, In response to the target operating data not falling within the standard data range, it is determined that there is an operational abnormality in the main ventilation fan.

[0127] The target operating data is evaluated. If the target operating data falls within the standard data range, it is determined that the main ventilation fan is operating abnormally. If the target operating data does not fall within the standard data range, it is determined that the main ventilation fan is not operating abnormally.

[0128] S505, target sensor for acquiring target operation data.

[0129] In some implementations, the motor winding temperature is acquired by the temperature sensor deployed on the motor as the operation data of the main ventilator at the target operating point, and the target sensor of the target operation data is the temperature sensor deployed on the motor.

[0130] In S506, the device associated with the target sensor is determined as the first device that fails.

[0131] In some implementations, there is a mapping relationship between the sensor and the device, and the first device associated with the sensor can be acquired according to the mapping relationship.

[0132] In some implementations, the device associated with the target sensor can be determined according to the position where the target sensor is deployed, and the device is determined as the first device that fails. For example, the motor bearing temperature and the motor bearing vibration signal are monitored by the temperature sensor and the vibration sensor arranged on the bearing box as the operation data of the main ventilator at the target operating point, and the target sensor of the target operation data is the temperature sensor and the vibration sensor arranged on the bearing box.

[0133] In S507, alarm information is generated according to the operation data of the first device, and the second device associated with the first device is enabled.

[0134] The content of S507 can be referred to the related description in the above embodiments, which will not be repeated here.

[0135] In the embodiments of the present application, the safety and reliability of the main ventilator can be improved, and the coal production efficiency and safety can be improved, the production failure probability can be reduced, and the loss or accident caused by device failure can be avoided.

[0136] Figure 7 is a structural diagram of an automatic monitoring and control device of a coal mine main ventilator according to an embodiment of the present disclosure, as shown in Figure 7 The automatic monitoring and control device 600 of the coal mine main ventilator includes:

[0137] The first acquisition module 710 is configured to acquire the fan performance curve of the main ventilator and the ventilation resistance characteristic curve of the mine.

[0138] The second acquisition module 720 is configured to acquire the multi-dimensional operation data of the target operating point based on the fan performance curve and the ventilation resistance characteristic curve.

[0139] The judgment module 730 is configured to judge whether the main ventilator has operation abnormity based on the multi-dimensional operation data of the target operating point.

[0140] The processing module 740 is configured to determine the first device that fails in response to the main ventilator having operation abnormity, generate alarm information according to the operation data of the first device, and enable the second device associated with the first device.

[0141] In some embodiments, the second obtaining module 720 is further configured to: determine a first working condition point of the main ventilator based on an intersection of the fan performance curve and the ventilation resistance characteristic curve; and determine the first working condition point as the target working condition point and the second working condition point as any one of the plurality of preset working condition points in response to the first working condition point being consistent with the second working condition point.

[0142] In some embodiments, the determining module 730 is further configured to: obtain a standard data range corresponding to the target running data for any dimension of the target running data in the multi-dimensional running data; and determine that the main ventilator has a running abnormality in response to the target running data not belonging to the standard data range.

[0143] In some embodiments, the determining module 730 is further configured to: perform signal processing on the target running data by using an envelope demodulation technique in response to the target running data being a vibration signal, and obtain the target running data after the signal processing.

[0144] In some embodiments, the multi-dimensional running data is collected by one or more sensors associated with any device in the automatic monitoring and control system of the coal mine main ventilator, and the processing module 740 is further configured to: obtain a target sensor that collects the target running data; and determine a device associated with the target sensor as the first device that has a fault.

[0145] In the embodiments of the present application, the safety and reliability of the main ventilator can be improved, and thus the coal production efficiency and safety can be improved, the probability of production failure can be reduced, and the loss or accident caused by equipment failure can be avoided.

[0146] Based on the same application concept, the embodiments of the present application also provide an electronic device.

[0147] Figure 8 The structure of the electronic device provided by the embodiments of the present application is shown in the figure. As shown in the figure, the electronic device 800 includes a memory 801, a processor 802, and a computer program product stored in the memory 801 and executable on the processor 802. When the processor executes the computer program, the automatic monitoring and control method of the coal mine main ventilator is realized. Figure 8

[0148] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0149] ​The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0150] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0151] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0152] Based on the same application concept, the embodiment of the present application further provides a computer readable storage medium, which stores computer instructions, wherein the computer instructions are used for causing a computer to execute the coal mine main fan automatic monitoring control method in the above embodiment.

[0153] Based on the same application concept, the embodiment of the present application further provides a computer program product, which comprises a computer program, and the computer program is used for executing the coal mine main fan automatic monitoring control method in the above embodiment when executed by a processor.

[0154] It is to be noticed that the singular word "a" or "an" should not be construed as meaning "one and only one" unless expressly so defined by the statements of the specification. The terms "comprising", "comprises" and "comprised of" should be interpreted as referring to the components, members, steps and / or elements of the object in which they are used. The reference signs in the claims should not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps other than those listed in a claim. The word "a" or "an" preceding the citation of a list of items does not exclude the presence of

[0155] Furthermore, the terms "first", "second", third", etc. are used herein for purposes of nomenclature only and are not intended to impose or imply any importance or relevance to the described technical concept. Hence, a feature identified as "first", "second", etc. can explicitly or implicitly comprise one or more such features. In the description of the application, the meaning of "plurality" is two or more, unless explicitly specified otherwise.

[0156] While the preferred embodiments of the application have been described, it should be understood that various modifications and changes can be made by those skilled in the art which follow in the spirit of the application and the scope of the appended claims. Accordingly, it is intended that all such modifications and changes be included within the scope of the application as claimed.

[0157] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A method for automatic monitoring and control of a coal mine main fan, characterized in that, The method comprises the following steps: obtaining a fan performance curve of a main fan and a ventilation resistance characteristic curve of a mine; determining a target working condition point based on the fan performance curve and the ventilation resistance characteristic curve, and obtaining multi-dimensional running data of the target working condition point; judging whether the main fan has a running abnormality based on the multi-dimensional running data of the target working condition point; in response to the main fan having a running abnormality, determining a first device that has a fault, generating alarm information according to running data of the first device, and enabling a second device associated with the first device; the method of obtaining the fan performance curve of the main fan and the ventilation resistance characteristic curve of the mine comprises the following steps: obtaining wind pressure and wind volume values of the main fan at multiple time points, and obtaining the fan performance curve according to the wind pressure and wind volume values of the main fan at the multiple time points; obtaining wind pressure and wind volume values of the mine at multiple time points, and obtaining the ventilation resistance characteristic curve of the mine according to the wind pressure and wind volume values of the mine at the multiple time points; the method of determining the target working condition point based on the fan performance curve and the ventilation resistance characteristic curve comprises the following steps: determining a first working condition point where the main fan is located based on an intersection of the fan performance curve and the ventilation resistance characteristic curve; in response to the first working condition point being consistent with a second working condition point, determining that the first working condition point is the target working condition point, and the second working condition point is any working condition point in multiple preset working condition points.

2. The method of claim 1, wherein, the method of judging whether the main fan has a running abnormality based on the multi-dimensional running data of the target working condition point comprises the following steps: for target running data of any dimension in the multi-dimensional running data, obtaining a standard data range corresponding to the target running data; in response to the target running data not belonging to the standard data range, determining that the main fan has a running abnormality.

3. The method of claim 2, wherein, after the step of obtaining the standard data range corresponding to the target running data, the method further comprises the following steps: in response to the target running data being a vibration signal, performing signal processing on the target running data by using an envelope demodulation technology, and obtaining the target running data after signal processing.

4. The method of claim 2, wherein, the multi-dimensional running data is collected by one or more sensors associated with any device in an automatic monitoring and control system of the coal mine main fan, and the method of determining the first device that has a fault comprises the following steps: obtaining a target sensor that collects the target running data; determining a device associated with the target sensor as the first device that has a fault.

5. An automatic monitoring control device for a coal mine main fan, characterized in that, The method comprises the following steps: a first obtaining module is configured to obtain a fan performance curve of a main fan and a ventilation resistance characteristic curve of a mine; a second obtaining module is configured to obtain multi-dimensional running data of a target working condition point based on the fan performance curve and the ventilation resistance characteristic curve; a judging module is configured to judge whether the main fan has a running abnormality based on the multi-dimensional running data of the target working condition point; a processing module is configured to, in response to the main fan having a running abnormality, determine a first device that has a fault, generate alarm information according to running data of the first device, and enable a second device associated with the first device; the first obtaining module is specifically configured to acquire the wind pressure and the wind volume values of the main ventilator at multiple time points, and acquire the fan performance curve according to the wind pressure and the wind volume values of the main ventilator at the multiple time points; acquire the wind pressure and the wind volume values of the mine at multiple time points, and acquire the ventilation resistance characteristic curve of the mine according to the wind pressure and the wind volume values of the mine at the multiple time points; the second acquisition module is specifically configured to: determine the first working condition point where the main ventilator is located based on the intersection of the fan performance curve and the ventilation resistance characteristic curve; in response to the first working condition point being consistent with a second working condition point, determine the first working condition point as the target working condition point, the second working condition point being any working condition point in multiple preset working condition points.

6. An automated monitoring control system for a coal mine main fan, characterized in that, The system comprises a power module, a main ventilator module, a sensor module, and a central processing module, wherein: the power module is connected with the main ventilator module for power supply; the main ventilator module is connected with the sensor module for mine ventilation; the sensor module is connected with the central processing module for collecting the running data of the sensor module and sending the running data to the central processing module; the central processing module is configured to analyze the running data based on the method in any one of claims 1-4, and switch a faulty device in each module to another device associated with the device.

7. The system of claim 6, wherein, The system further comprises a switch, an industrial computer, and a mine safety monitoring center, wherein: the switch is connected with the central processing module, the industrial computer, and the mine safety monitoring center respectively, for forwarding the interaction signals between the industrial computer and the central processing module, or for forwarding the interaction signals between the mine safety monitoring center and the central processing module; the industrial computer is configured to control the operation of the system; the mine safety monitoring center is configured to monitor the running state of the main ventilator online.

8. The system of claim 6 or 7, wherein, The power module comprises N power sources associated with each other, the main ventilator module comprises N main ventilators associated with each other, and the sensor module comprises N sensor groups associated with each other, wherein the ith main ventilator and the ith sensor group are connected, the ith power source is connected with the N main ventilators respectively, N is an integer greater than 1, and i is a positive integer less than or equal to N.

9. The system of claim 8, wherein, The central processing module comprises an input-output (IO) module, a PROFINET redundant network, and a central processor, wherein: the IO module is connected with the N sensor groups respectively for various types of signal input and control output; the central processor is connected with the IO module for data exchange with the IO module, and the central processor comprises a first central processor and a second central processor associated with each other; the PROFINET redundant network is connected with the first central processor, the second central processor, and the IO module respectively for device communication.

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