KR20240105351A - Smart Safety Management System Including a Vibration Sensor - Google Patents

Abstract

A smart safety management system is launched. The smart safety management system includes a beamforming implementation unit installed adjacent to mechanically driven equipment while generating sound and vibration to collect sounds related to the operation of the equipment; A temperature change monitoring unit installed adjacent to the equipment to monitor temperature changes in the equipment; and analyzing the frequency of the sound collected by the beamforming implementation unit, and analyzing the temperature information input from the temperature change monitoring unit, so that the signal of the sound frequency is a signal of a frequency in an abnormal band or a dangerous temperature for which the temperature information is preset. It is characterized by including a data analysis unit that outputs an alarm signal when the value is higher.

Description

Smart Safety Management System Including a Vibration Sensor}

The present invention relates to a smart safety management system, and more specifically, to a smart safety management system for accurately determining equipment failure and preventing safety accidents for workers by determining whether mechanically driven equipment is broken.

In general, a conveyor belt is a device that loads, transports, or stores raw coal stored in a yard to the intended device or facility. It receives power from a drive motor and is a device that determines the drive section and head chute connected to the reducer and head pulley, and the transfer section. It consists of a tension device that maintains the tension of the part, tail chute, and conveyor belt constant, as well as a belt and carrier roller.

In the conveyor belt as described above, the bullets scattered on the upper part of the anti-carriage plate installed on the tail or the bullets that fall from the back of the belt accumulate, and heat is generated due to continuous friction between the tail pulley and the frame stand or the carrier roller and the belt. At this time, Fires frequently occur due to friction between the carrier roller and the belt, damaging production facilities and reducing mass productivity. In the case of large conveyor belts, it is difficult to detect the area where various accidents, including fires, occur, making real-time response difficult. there was.

Therefore, a system for determining whether there is a breakdown in equipment such as a conveyor belt installed over a wide area is required.

Therefore, the problem that the present invention aims to solve is to provide a smart safety management system that improves the accuracy and reliability of determining whether equipment is malfunctioning, prevents safety accidents, and enables rapid response.

A smart safety management system according to an embodiment of the present invention includes a beamforming implementation unit that is installed adjacent to mechanically driven equipment while generating sound and vibration and collects sounds regarding the operation of the equipment; A temperature change monitoring unit installed adjacent to the equipment to monitor temperature changes in the equipment; and analyzing the frequency of the sound collected by the beamforming implementation unit, and analyzing the temperature information input from the temperature change monitoring unit, so that the signal of the sound frequency is a signal of a frequency in an abnormal band or a dangerous temperature for which the temperature information is preset. It is characterized by including a data analysis unit that outputs an alarm signal when the value is higher.

In one embodiment, the data analysis unit includes a signal processing unit that collects a signal of the sound frequency collected by the beamforming implementation unit; And it may include a signal analysis unit that analyzes the signal of the frequency input from the signal processing unit and outputs the alarm signal when a signal of a frequency band different from usual is detected.

In one embodiment, it further includes a vibration sensor installed on one side of the equipment to measure vibration of the equipment, and the signal analysis unit analyzes a signal of the frequency according to the vibration of the equipment measured through the vibration sensor. When a signal of a frequency different from the usual frequency is detected, the above alarm signal can be output.

In one embodiment, the signal analysis unit further includes analyzing the sound quality of the sound input to the beamforming implementation unit based on a normal sound quality value preset for sound quality analysis, and the signal analysis unit inputs the sound to the beamforming implementation unit. If the sound quality of the sound is outside the normal sound quality level, the alarm signal can be output.

In one embodiment, the normal sound quality level includes noise values between a normal noise value and an abnormal noise value that is a certain amount higher than the normal noise value, and the signal analysis unit outputs the alarm signal when the abnormal noise value is higher than the normal noise value. You can.

In one embodiment, the signal analysis unit may further analyze the sharpness, roughness, and loudness of the sound input to the beamforming implementation unit.

In one embodiment, the beamforming implementation unit may be configured to implement any one of analog beamforming, digital beamforming, and hybrid beamforming.

In one embodiment, the equipment is a conveyor belt driven by a motor,

The beamforming implementation unit includes a plurality of microphones arranged along the longitudinal direction of the conveyor belt at the top of the conveyor belt to collect sounds about the driving of the conveyor belt, and the temperature change monitoring unit is located on one side of the conveyor belt. It may include a plurality of thermal imaging cameras arranged along the longitudinal direction of the conveyor belt to acquire thermal images or images of the conveyor belt, the motor, and the worker.

In one embodiment, the signal analysis unit analyzes the signal of the frequency input from the beamforming implementation unit and the vibration sensor, and the temperature information input from the temperature change monitoring unit to determine whether an operation abnormality of the conveyor belt or the motor occurs. After it is determined that the worker's movement line is determined through images or videos obtained from the plurality of thermal imaging cameras, the warning signal can be output when the worker approaches the conveyor belt or the motor. .

In one embodiment, the vibration sensor may be mounted on the motor.

According to the smart safety management system according to the present invention, the presence or absence of a failure of the equipment is determined through multiple failure judgment data including analysis of the frequency of sound, analysis of the frequency of vibration according to the operation of the equipment, and monitoring of temperature changes. The accuracy and reliability of determining the presence or absence of a failure are improved, and there is an advantage in preventing safety accidents and enabling rapid response.

Additionally, there is the advantage of being able to determine whether equipment installed over a wide area is malfunctioning.

Figure 1 is a block diagram for explaining the configuration of a smart safety management system according to an embodiment of the present invention.
Figure 2 is a diagram showing an implementation example of a smart safety management system according to an embodiment of the present invention.
Figure 3 is an example screen of frequency and sound quality analysis in the signal analysis unit according to an embodiment of the present invention.
Figure 4 is a diagram showing an example screen in which an abnormal signal is detected through frequency and sharpness analysis in the signal analysis unit of the smart safety management system according to an embodiment of the present invention.
Figure 5 is a diagram showing the alarm level for each subtle difference between normal noise and abnormal noise through sound quality analysis in the signal analysis unit of the smart safety management system according to an embodiment of the present invention.
Figure 6 is a diagram illustrating an image obtained through a thermal imaging camera of a smart safety management system according to an embodiment of the present invention.

Hereinafter, a smart safety management system according to an embodiment of the present invention will be described in detail with reference to the attached drawings. Since the present invention can be subject to various changes and can have various forms, specific embodiments will be illustrated in the drawings and described in detail in the text. However, this is not intended to limit the present invention to a specific disclosed form, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention. While describing each drawing, similar reference numerals are used for similar components. In the attached drawings, the dimensions of the structures are enlarged from the actual size for clarity of the present invention.

Terms such as first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be named a second component without departing from the scope of the present invention, and similarly, the second component may also be named a first component.

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by a person of ordinary skill in the technical field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted in an ideal or excessively formal sense unless explicitly defined in the present application. No.

Figure 1 is a block diagram for explaining the configuration of a smart safety management system according to an embodiment of the present invention, Figure 2 is a diagram showing an implementation example of a smart safety management system according to an embodiment of the present invention, and Figure 3 is an example screen of frequency and sound quality analysis in the signal analysis unit according to an embodiment of the present invention, and Figure 4 shows abnormalities through frequency and sharpness analysis in the signal analysis unit of the smart safety management system according to an embodiment of the present invention. It is a diagram showing an example screen that detects a signal, and Figure 5 is a diagram showing the alarm level for each subtle difference between normal noise and abnormal noise through sound quality analysis in the signal analysis unit of the smart safety management system according to an embodiment of the present invention. 6 is a diagram illustrating an image obtained through a thermal imaging camera of a smart safety management system according to an embodiment of the present invention.

Referring to Figures 1 and 2, the smart safety management system according to an embodiment of the present invention may include a beamforming implementation unit 110, a temperature change monitoring unit 120, and a data analysis unit 130.

The beamforming implementation unit 110 may be installed adjacent to mechanically driven equipment while generating sound and vibration to collect sounds related to the operation of the equipment. The beamforming implementation unit may be configured to implement any one of analog beamforming, digital beamforming, and hybrid beamforming.

In one embodiment, the mechanically driven equipment may be a conveyor belt 10 driven by a motor 20, and the beam forming implementation unit 110 is located on the upper part of the conveyor belt 10. It may include a plurality of microphones 111 arranged along the longitudinal direction to collect sounds related to the driving of the conveyor belt 10. For example, as shown in FIG. 2, a plurality of microphones 111 are installed at regular intervals, for example, 5 to 10 m, on the support 30 installed on the upper part of the conveyor belt 10 per 200 m of the total length of the conveyor belt 10. Can be placed at intervals.

The temperature change monitoring unit 120 is installed adjacent to the equipment and can monitor temperature changes in the equipment.

In one embodiment, the temperature change monitoring unit 120 is arranged along the longitudinal direction of the conveyor belt 10 on one side of the conveyor belt 10 and displays thermal image images or images of the conveyor belt 10, the motor 20, and the worker. It may include a plurality of thermal imaging cameras 121 that acquire images.

A plurality of thermal imaging cameras 121 are arranged at regular intervals, for example, at 15 to 20 m intervals, and are arranged at a distance of 4 to 6 m from the conveyor belt 10 to face the conveyor belt 10, the motor 20, and the worker. It can be.

A plurality of thermal imaging cameras 121 can supplement the function of the microphone 111 when heat is generated before sound at the initial stage of equipment failure. Additionally, if a bearing failure of the motor 20 occurs, the part where the temperature gradually increases due to friction can be monitored and identified. Accordingly, when installed together with the microphone 111, abnormal noise and increased frictional heat of the bearing can be cross-checked to improve measurement precision. In addition, in the event of a fire, the thermal imaging camera 121 can detect and determine a temperature higher than 60°C and provide temperature information for a fire alarm. For this purpose, it can be equipped with a detection range of 180m (angle 61°), 330m (angle 35°) or more.

The data analysis unit 130 analyzes the frequency of the sound collected by the beamforming implementation unit 110 and analyzes the temperature information input from the temperature change monitoring unit 120, so that the signal of the sound frequency is a frequency in the abnormal band. It can be configured to output an alarm signal if it is a signal of or if the temperature information is above a preset dangerous temperature value.

In one embodiment, the data analysis unit 130 may include a signal processing unit 131 and a signal analysis unit 132.

The signal processing unit 131 may collect signals of the sound frequency collected by the beamforming implementation unit 110. As an example, the signal processing unit 131 may include a filtering unit 1311, a signal amplifier 1312, and a signal processor 1313.

The filtering unit 1311 may filter signals of unnecessary frequencies among the sound frequency signals collected by the beamforming implementation unit 110. For example, the filtering unit 1311 may be configured to filter signals in a low frequency band of 100 Hz or less.

The signal amplifier 1312 may amplify the signal of the input frequency filtered by the filtering unit 1311.

The signal processing unit 131 may be configured to output the signal of the frequency amplified by the signal amplifier 1312 to the signal analysis unit 132 without loss. For example, the signal processing unit 131 may be configured as a data acquisition unit (DAU).

The signal analysis unit 132 may be configured to analyze a signal of a frequency input from the signal processing unit 131 and output an alarm signal when a signal of a frequency band different from usual is detected. For example, the signal analysis unit 132 may be composed of a PC having a memory unit and software that can analyze and determine the frequency, sound quality, noise, etc. of the sound. The software provides visualization for signal analysis as shown in Figure 3.

In addition, the signal analysis unit 132 analyzes the frequency signal input from the beamforming implementation unit 110 and the vibration sensor 140 and the temperature information input from the temperature change monitoring unit 120 to determine the conveyor belt 10 or After it is determined that an operation abnormality of the motor 20 has occurred, the worker's movement line is determined through images or videos acquired from a plurality of thermal imaging cameras 121, and the worker moves to the conveyor belt 10 or the motor 20. It can be configured to output an alarm signal when approaching.

Meanwhile, the smart safety management system according to an embodiment of the present invention further includes a vibration sensor 140 installed on one side of the equipment to measure vibration of the equipment, and the signal analysis unit 132 uses the vibration sensor 140. It can be configured to analyze the signal of the frequency according to the vibration of the equipment measured through the device and output an alarm signal when a signal of a different frequency band than usual is detected. For example, the vibration sensor 140 may be mounted on the motor 20 that drives the conveyor belt 10.

The smart safety management system according to an embodiment of the present invention can diagnose failures and prevent safety accidents in equipment deployed over a wide area.

For example, as shown in FIG. 2, it is possible to check whether the conveyor belt 10 and the motor 20 are malfunctioning at a site where the conveyor belt 10 is installed over a long section.

In this case, mechanical sound is generated in the field due to the mechanical driving of the conveyor belt 10 and the motor 20, and the sound of the mechanical sound is collected by the plurality of microphones 111 of the beam forming implementation unit 110, and the motor Vibration for driving of (20) is measured by the vibration sensor (140).

Based on the sound collected by the plurality of microphones 111 and information about vibration measured by the vibration sensor 140, the data analysis unit 130 can determine whether the equipment is broken. That is, the signal analysis unit 132 of the data analysis unit 130 analyzes the sound frequency signal collected by the plurality of microphones 111 and the vibration frequency signal measured by the vibration sensor 140 to determine the equipment The presence or absence of a malfunction can be determined.

For example, in the case of the conveyor belt 10, when it breaks down, an abnormal sound different from usual in the 1 to 4 kHz frequency band may be generated. In this case, an abnormal signal with a frequency of 1 to 4 kHz is input to the plurality of microphones 111. After the signal analysis unit 132 detects the abnormal signal, the signal analysis unit 132 determines that something is wrong with the conveyor belt 10 and transmits an alarm signal to the site to prevent workers from accessing it. For example, as shown in FIG. 4, when an abnormal signal is input, an alarm signal can be transmitted.

Meanwhile, the signal analysis unit 132 analyzes the signal of the frequency according to the vibration of the motor 20 measured by the vibration sensor 140 mounted on the motor 20 along with the analysis of the sound collected by the plurality of microphones 111. Even if there is no abnormality in the signal of the sound frequency collected by the plurality of microphones 111, the frequency signal according to the vibration of the motor 20 is analyzed, and if a signal of a frequency band different from the usual is detected, an alarm signal is transmitted. Workers' access can be prevented.

Meanwhile, analysis of the sound frequency signal collected by the plurality of microphones 111 and the vibration frequency signal by the vibration sensor 140 are conducted, and the conveyor belt is monitored in the temperature change monitoring unit 120. Monitor temperature changes in (10) and motor (20).

For example, as mentioned above, when a bearing failure of the motor 20 occurs, the part where the temperature gradually increases due to friction is monitored and the acquired image or video is transmitted to the signal analysis unit 132, thereby transmitting the signal. The analysis unit 132 may generate an alarm signal.

Meanwhile, after the signal analysis unit 132 determines that an operation abnormality of the conveyor belt 10 or the motor 20 has occurred, as shown in FIG. 6, the signal analysis unit 132 analyzes the By determining the worker's movement line and outputting the warning signal when the worker approaches the conveyor belt or the motor, the risk of a worker's safety accident can be prevented in advance.

Meanwhile, the signal analysis unit 132 of the smart safety management system according to an embodiment of the present invention further includes analyzing the sound quality of the sound input to the beamforming implementation unit based on a normal sound quality level preset for sound quality analysis. It can be configured to output an alarm signal when the sound quality of the sound input to the beamforming implementation unit 110 is outside the normal sound quality level.

In one embodiment, the normal sound quality level includes noise values between a normal noise value and an abnormal noise value that is a certain amount higher than the normal noise value, and the signal analysis unit can output the alarm signal when the abnormal noise value is higher than the normal noise value. .

For example, as shown in Figure 5, after the normal noise (dB) is set to Min and the abnormal noise is set to Max during operation of the conveyor belt 10, a warning is issued if the measurement signal is more than Max +10%. It is set to a level, and if it is more than the warning level +20%, it is set to a risk level, and an alarm signal, such as a warning siren, can be sent to the site according to the level to which the analysis result measurement signal corresponds.

In addition, for sound quality analysis, as shown in FIG. 3, the signal analysis unit 132 analyzes the sharpness, roughness, and loudness of the sound input to the beamforming implementation unit 110. Can be configured to further analyze. For example, as shown in Figure 4, when a signal with a frequency of 2000 Hz is applied to the signal analysis unit 132, the 2000 Hz value of 1/3 Octave increases, and the sound quality is displayed in the form of 12 to 15 Bark in sharpness. Analysis can be implemented.

According to the smart safety management system according to an embodiment of the present invention, the presence or absence of equipment failure is determined through multiple failure determination data including analysis of the frequency of sound, analysis of the frequency of vibration according to equipment operation, and monitoring of temperature changes. This has the advantage of improving the accuracy and reliability of determining whether equipment is malfunctioning, preventing safety accidents, and enabling rapid response.

In addition, it is possible to determine whether equipment installed over a wide area is malfunctioning. For example, it may be possible to determine whether equipment is malfunctioning in a wide area of a coal transport line site, which transports raw materials such as coal through a conveyor belt.

The description of the presented embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments without departing from the scope of the invention. Thus, the present invention is not limited to the embodiments presented herein, but is to be construed in the broadest scope consistent with the principles and novel features presented herein.

Claims (1)

A beamforming implementation unit installed adjacent to mechanically driven equipment while generating sound and vibration to collect sounds related to the operation of the equipment;
A temperature change monitoring unit installed adjacent to the equipment to monitor temperature changes in the equipment; and
By analyzing the frequency of the sound collected by the beamforming implementation unit and analyzing the temperature information input from the temperature change monitoring unit, the signal of the sound frequency is a signal of a frequency in an abnormal band or the temperature information is a preset dangerous temperature value. It includes a data analysis unit that outputs an alarm signal in case of an abnormality,
The data analysis unit includes a signal processing unit that collects a signal of the sound frequency collected by the beamforming implementation unit; And a signal analysis unit that analyzes the signal of the frequency input from the signal processing unit and outputs the alarm signal when a signal of a frequency band different from the usual frequency is detected,
It further includes a vibration sensor installed on one side of the equipment to measure the vibration of the equipment, and the signal analysis unit analyzes a signal of a frequency according to the vibration of the equipment measured through the vibration sensor to determine a frequency in a different band than usual. When a signal is detected, the alarm signal is output,
The signal analysis unit further includes analyzing the sound quality of the sound input to the beamforming implementation unit based on a normal sound quality level preset for sound quality analysis, and the signal analysis unit determines the sound quality of the sound input to the beamforming implementation unit. If the sound quality level is outside the normal range, the above alarm signal is output,
The equipment is a conveyor belt driven by a motor,
The beamforming implementation unit includes a plurality of microphones arranged along the longitudinal direction of the conveyor belt on the upper part of the conveyor belt to collect sounds about the driving of the conveyor belt,
The temperature change monitoring unit includes a plurality of thermal imaging cameras arranged along the longitudinal direction of the conveyor belt on one side of the conveyor belt to acquire thermal images or images of the conveyor belt, the motor, and the worker,
After the signal analysis unit analyzes the frequency signal input from the beamforming implementation unit and the vibration sensor and the temperature information input from the temperature change monitoring unit, it is determined that an operation abnormality of the conveyor belt or the motor has occurred, It is configured to determine the worker's movement line through images or videos obtained from the plurality of thermal imaging cameras and output the warning signal when the worker approaches the conveyor belt or the motor,
The vibration sensor is mounted on the motor,
Smart safety management system including vibration sensor.