Method, device and electronic device for monitoring failure of industrial equipment

Abstract

The application relates to the technical field of fault inspection, and discloses a fault monitoring method and device of an industrial equipment and electronic equipment, which comprises the following steps: controlling a target buzzer to make sound at the positions of multiple risk components on a target industrial equipment, controlling a target acoustic camera to collect sound images when the target buzzer makes sound, and obtaining risk acoustic coordinates of each risk component; selecting a target risk acoustic coordinate from the multiple risk acoustic coordinates, comparing the target risk acoustic coordinate with each risk acoustic coordinate respectively, and obtaining a comparison result; the target risk acoustic coordinate is a risk acoustic coordinate with a sound pressure level greater than a preset sound pressure level; and monitoring a fault position of the target industrial equipment according to the comparison result. The application can accurately locate the specific position of abnormal sound of the equipment by using the buzzer and the acoustic camera to monitor the fault of the target industrial equipment, and the accuracy of fault monitoring is improved.

Description

Technical Field

[0001] This invention relates to the field of fault inspection technology, specifically to fault monitoring methods, devices, and electronic equipment for industrial equipment. Background Technology

[0002] In fault inspection scenarios such as industrial gas leaks, partial discharge of power equipment, and abnormal mechanical noises, the relevant inspection methods rely on manual inspection one by one, which is not only inefficient and poses safety hazards, but also makes it difficult to quickly and accurately identify low-probability weak signal faults, and cannot meet the needs of efficient inspection in complex scenarios.

[0003] Acoustic cameras can fuse sound pressure cloud images and visible light images to achieve visual localization of sound sources. Therefore, acoustic cameras can be applied to fault inspection scenarios. However, current methods for applying acoustic cameras involve using a standard piston generator and a fixed single-frequency sound source in a laboratory anechoic chamber to perform factory-calibrated acoustic camera hardware arrays. This only corrects the imaging deviations of the equipment itself and cannot establish a mapping relationship between the tested risk component and the pixel coordinates of the acoustic image in an industrial setting, nor can it automatically match the faulty equipment component. Summary of the Invention

[0004] This invention provides a fault monitoring method, device, and electronic device for industrial equipment to solve the problem that the application of acoustic cameras in related technologies cannot automatically match the equipment components to which the fault belongs.

[0005] In a first aspect, the present invention provides a fault monitoring method for industrial equipment, comprising: controlling a target buzzer to emit sound at the positions of multiple risk components on the target industrial equipment; controlling a target acoustic camera to acquire sound images when the target buzzer emits sound, thereby obtaining the risk acoustic coordinates of each risk component; selecting a target risk acoustic coordinate from the multiple risk acoustic coordinates; comparing the target risk acoustic coordinate with each risk acoustic coordinate to obtain a comparison result; the target risk acoustic coordinate is a risk acoustic coordinate with a sound pressure level greater than a preset sound pressure level; and monitoring the fault location of the target industrial equipment based on the comparison result.

[0006] The fault monitoring method for industrial equipment of the present invention controls a target buzzer to emit sound at the location of multiple risk components on the target industrial equipment, and controls a target acoustic camera to collect sound and image data when the target buzzer emits sound, thereby obtaining the risk acoustic coordinates of each risk component. By actively setting the buzzer to emit sound at the risk component location of the target industrial equipment and simultaneously collecting sound and image data with the acoustic camera, the acoustic position reference of each risk component can be actively constructed. The acoustic coordinates are collected one-to-one with each individual risk component, ensuring accurate spatial mapping between the reference data and the physical location of the component. This invention selects target risk acoustic coordinates from multiple risk acoustic coordinates, compares the target risk acoustic coordinates with each of the risk acoustic coordinates, and obtains the comparison results. Using a preset sound pressure level as a screening threshold, points with higher sound pressure levels are selected from multiple sets of risk acoustic coordinates as comparison references. This filters out invalid interference signals and noise with low sound pressure levels, improves the confidence and specificity of the comparison benchmark, and reduces the computational burden caused by invalid data. By comparing the high-confidence target risk acoustic coordinates with the acoustic coordinates of all risk components one by one, it can efficiently identify component locations with acoustic coordinate offsets and abnormal sound pressure characteristics. Based on the comparison results, this invention monitors the fault location of target industrial equipment, directly locating the equipment fault location based on the acoustic coordinate comparison results. It can convert differences in acoustic characteristics into spatial location determination results, eliminating the need for manual point-by-point disassembly and investigation, and quickly pinpointing the specific component location where the fault occurred. Compared with related technologies, this invention significantly shortens the fault location cycle and improves the efficiency and accuracy of fault location.

[0007] In one optional implementation, the target buzzer is controlled to emit sound at the positions of multiple risk components on the target industrial equipment, and a target acoustic camera is controlled to collect sound and image data when the target buzzer emits sound, thereby obtaining the risk acoustic coordinates of each risk component. This includes: controlling a first robotic arm carrying the target buzzer to move at the positions of multiple risk components on the target industrial equipment, and controlling the target buzzer to emit sound at each risk component position according to a preset sound frequency; controlling a second robotic arm carrying the target acoustic camera to move at the position where the target buzzer emits sound, and controlling the target acoustic camera to collect sound and image data according to a preset acquisition frequency, thereby obtaining the risk acoustic coordinates of each risk component.

[0008] In one optional implementation, selecting a target risk acoustic coordinate from multiple risk acoustic coordinates includes: obtaining the sound pressure level corresponding to each risk acoustic coordinate, and selecting a risk acoustic coordinate with a sound pressure level greater than a preset sound pressure level from multiple risk acoustic coordinates as the target risk acoustic coordinate.

[0009] In one optional implementation, the target risk acoustic coordinates are compared with each risk acoustic coordinate to obtain a comparison result, including: determining the coordinate distance between each risk acoustic coordinate and the target risk acoustic coordinates, and comparing each coordinate distance with a preset distance threshold to obtain a comparison result.

[0010] In one optional implementation, the comparison results include coordinate distances less than a preset distance threshold and coordinate distances greater than or equal to a preset distance threshold; monitoring the fault location of the target industrial equipment based on the comparison results includes: when the comparison result is that the coordinate distance is less than the preset distance threshold, determining the risk acoustic coordinates corresponding to the coordinate distance as the fault location.

[0011] In one optional implementation, monitoring the fault location of the target industrial equipment based on the comparison results further includes: when the comparison result indicates that the coordinate distance is greater than or equal to a preset distance threshold, controlling the target buzzer to emit sound at multiple boundary positions on a preset risk boundary of the target industrial equipment; controlling the target acoustic camera to collect sound and image data when the target buzzer emits sound, obtaining a set of boundary acoustic coordinates for multiple boundary positions; when the risk acoustic coordinate is located inside the preset risk boundary corresponding to the set of boundary acoustic coordinates, the risk acoustic coordinate is determined as a candidate fault location; when the risk acoustic coordinate is located outside the preset risk boundary corresponding to the set of boundary acoustic coordinates, the risk acoustic coordinate is determined as an interference noise location.

[0012] In one optional implementation, the fault monitoring method for industrial equipment further includes: matching the risk acoustic coordinates of each risk component with a whitelist coordinate data table; if the match is successful, the risk acoustic coordinates are determined to be non-fault locations; the whitelist coordinate data table is an acoustic coordinate data table obtained in advance by calibrating the location of interference noise on the target industrial equipment using a target buzzer and a target acoustic camera.

[0013] In one optional embodiment, the fault monitoring method for industrial equipment further includes: when the target industrial equipment is a gas pipeline equipment, matching the risk acoustic coordinates of each risk component with a first target pipeline coordinate data table; if the matching is successful, determining the risk acoustic coordinates as first fault level coordinates; the first target pipeline coordinate data table is an acoustic coordinate data table obtained in advance by calibrating the coordinates of the first target pipeline equipment using a target buzzer and a target acoustic camera; the first target pipeline equipment is a nitrogen pipeline equipment. The risk acoustic coordinates of each risk component are matched with the coordinate data table of the second target pipeline. If the match is successful, the risk acoustic coordinates are determined to be the coordinates of the second fault level. The coordinate data table of the second target pipeline is an acoustic coordinate data table obtained by calibrating the coordinates of the second target pipeline equipment in advance using the target buzzer and the target acoustic camera. The second target pipeline equipment is a hydrogen pipeline equipment. The fault level of the first fault level coordinate is lower than the fault level of the second fault level coordinate.

[0014] Secondly, the present invention provides a fault monitoring device for industrial equipment, comprising: an equipment control module, used to control a target buzzer to emit sound at the position of multiple risk components on the target industrial equipment, and to control a target acoustic camera to collect sound images when the target buzzer emits sound, thereby obtaining the risk acoustic coordinates of each risk component; a coordinate comparison module, used to select a target risk acoustic coordinate from multiple risk acoustic coordinates, and to compare the target risk acoustic coordinate with each risk acoustic coordinate to obtain a comparison result; the target risk acoustic coordinate is a risk acoustic coordinate with a sound pressure level greater than a preset sound pressure level; and a fault monitoring module, used to monitor the fault location of the target industrial equipment based on the comparison result.

[0015] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the fault monitoring method for industrial equipment described in the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0016] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of an application scenario according to an embodiment of the present invention; Figure 2 This is a schematic flowchart of a first method for fault monitoring of industrial equipment according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an industrial equipment fault monitoring system according to an embodiment of the present invention; Figure 4 This is a schematic diagram of an audio-visual representation according to an embodiment of the present invention; Figure 5 This is a schematic diagram of a second process for a fault monitoring method for industrial equipment according to an embodiment of the present invention; Figure 6 This is a structural block diagram of a fault monitoring device for industrial equipment according to an embodiment of the present invention; Figure 7 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0020] As an optional application scenario of this invention, such as Figure 1 As shown, the fault monitoring system for this industrial equipment may include at least one terminal device and at least one server. Figure 1 The system is illustrated in the example, which includes a computer 101, a mobile terminal 102, and a server 103, and the terminal devices such as the computer 101 and the mobile terminal 102 are connected to the server 103 through a network 110.

[0021] Specifically, the terminal device can be a smartphone, tablet, laptop, PDA, desktop computer, game console, smart TV, smart wearable device, in-vehicle terminal, VR (Virtual Reality) device, AR (Augmented Reality) device, etc. Server 103 can be a standalone physical server, a server cluster, a distributed system, or a cloud server providing cloud services. Network 110 can be a wired or wireless network, examples of which include, but are not limited to, the Internet, corporate intranet, local area network, wide area network, mobile communication network, and combinations thereof.

[0022] Acoustic cameras can locate sound sources by overlaying sound pressure level cloud images and photographic layers to observe the location of the sound. This equipment is used for monitoring in areas where malfunctions can produce sound, such as gas leaks and transformer failures. In practice, human intervention is required to determine which component is malfunctioning; ground-reflected sound sources may also appear on the screen, requiring manual intervention. If acoustic cameras are used for unattended fault monitoring, they can only report whether a fault has occurred, but cannot identify the specific faulty component, thus failing to link with appropriate response measures, and false alarms are difficult to avoid.

[0023] This invention provides a fault monitoring method for industrial equipment. By using a buzzer and an acoustic camera to monitor the faults of the target industrial equipment, the method can accurately locate the specific location of abnormal sound emission by using acoustic imaging, thereby improving the accuracy of fault monitoring.

[0024] According to an embodiment of the present invention, a fault monitoring method for industrial equipment is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0025] This embodiment provides a fault monitoring method for industrial equipment, which can be used in computer equipment. Figure 2 This is a first flowchart of a fault monitoring method for industrial equipment according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps: Step S201: Control the target buzzer to emit sound at the positions of multiple risk components on the target industrial equipment, and control the target acoustic camera to collect sound and image when the target buzzer emits sound, so as to obtain the risk acoustic coordinates of each risk component.

[0026] Among them, the target buzzer is a pre-deployed electroacoustic conversion device that can emit specific acoustic signals to provide a sound source reference with a known location for acoustic positioning; the target industrial equipment is the object of fault monitoring, for example, the target industrial equipment can be a gas pipeline or gas cylinder; the risk component is the core component of the target industrial equipment with a high failure rate that needs to be monitored.

[0027] In some optional implementations, the target acoustic camera is an acoustic detection device consisting of a microphone array and a signal processing unit. It can calculate the spatial location and sound pressure distribution of the sound source through beamforming algorithms and output visualized acoustic image data. The acoustic image is acoustic imaging data collected and generated by the target acoustic camera, which includes the spatial coordinates of the sound source and the sound pressure level distribution information. It can intuitively present the sound intensity and location at different positions of the device.

[0028] In some optional implementations, the risk acoustic coordinates are three-dimensional coordinate data that characterize the spatial location of the sound source point corresponding to each risk component, with the target acoustic camera coordinate system as the reference.

[0029] For example, Figure 3 This is a schematic diagram of the structure of an industrial equipment fault monitoring system according to an embodiment of the present invention. The industrial equipment fault monitoring system includes a target acoustic camera 301, a communication cable 302, a data processing system 303, a target industrial equipment 304, a first risk component 305, a second risk component 306, a third risk component 307, a risk area boundary 308, and a target buzzer 3010.

[0030] In some alternative implementations, the acoustic image can be represented using an audiogram, such as... Figure 4 As shown, this is a schematic diagram of an audio-visual image according to an embodiment of the present invention. The audio-visual image 309 is an m*n matrix with m*n pixels. The audio-visual image 309 includes pixels of the first risk component 305, pixels of the second risk component 306, pixels of the third risk component 307, horizontal pixel number 3013, vertical pixel number 3014, multiple other pixels 3015, risk area boundary 308, inside the risk area boundary 3011, and outside the risk area boundary 3012.

[0031] Step S202: Select the target risk acoustic coordinate from multiple risk acoustic coordinates, and compare the target risk acoustic coordinate with each risk acoustic coordinate to obtain the comparison result; the target risk acoustic coordinate is the risk acoustic coordinate with a sound pressure level greater than the preset sound pressure level.

[0032] Among them, the target risk acoustic coordinates are acoustic coordinates selected from all risk acoustic coordinates with sound pressure level values ​​higher than a preset threshold, serving as the core reference benchmark for fault comparison; sound pressure level is a physical quantity that measures the intensity of sound, measured in decibels (dB), used to quantify the sound intensity at the corresponding location of the acoustic coordinates and distinguish between effective sound sources and background noise; the preset sound pressure level is a pre-set sound pressure level screening threshold, with the preset sound pressure level being as large as possible so that the selected target risk acoustic coordinates are the risk acoustic coordinates with the highest sound pressure level among multiple risk acoustic coordinates.

[0033] Step S203: Monitor the fault location of the target industrial equipment based on the comparison results.

[0034] The fault location refers to the specific component or physical point on the target industrial equipment where the fault occurred. For example, the fault location is the location of a gas leak in a gas pipeline.

[0035] The fault monitoring method for industrial equipment provided in this embodiment controls a target buzzer to emit sound at the location of multiple risk components on the target industrial equipment, and controls a target acoustic camera to collect sound and image data when the target buzzer emits sound, thereby obtaining the risk acoustic coordinates of each risk component. By actively setting the buzzer to emit sound at the risk component location of the target industrial equipment and simultaneously collecting sound and image data with the acoustic camera, the acoustic position reference of each risk component can be actively constructed. The acoustic coordinates are collected one-to-one with each individual risk component, ensuring accurate spatial mapping between the reference data and the physical location of the component. This invention selects target risk acoustic coordinates from multiple risk acoustic coordinates, compares the target risk acoustic coordinates with each of the risk acoustic coordinates, and obtains the comparison results. Using a preset sound pressure level as a screening threshold, points with higher sound pressure levels are selected from multiple sets of risk acoustic coordinates as comparison references. This filters out invalid interference signals and noise with low sound pressure levels, improves the confidence and specificity of the comparison benchmark, and reduces the computational burden caused by invalid data. By comparing the high-confidence target risk acoustic coordinates with the acoustic coordinates of all risk components one by one, it can efficiently identify component locations with acoustic coordinate offsets and abnormal sound pressure characteristics. Based on the comparison results, this invention monitors the fault location of target industrial equipment, directly locating the equipment fault location based on the acoustic coordinate comparison results. It can convert differences in acoustic characteristics into spatial location determination results, eliminating the need for manual point-by-point disassembly and investigation, and quickly pinpointing the specific component location where the fault occurred. Compared with related technologies, this invention significantly shortens the fault location cycle and improves the efficiency and accuracy of fault location.

[0036] This embodiment provides a fault monitoring method for industrial equipment, which can be used in computer equipment. Figure 5 This is a second flowchart of a fault monitoring method for industrial equipment according to an embodiment of the present invention, such as... Figure 5 As shown, the process includes the following steps: Step S501: Control the target buzzer to emit sound at the positions of multiple risk components on the target industrial equipment, and control the target acoustic camera to collect sound and image when the target buzzer emits sound, so as to obtain the risk acoustic coordinates of each risk component.

[0037] Specifically, step S501 includes: Step S5011: Control the first robotic arm carrying the target buzzer to move between the positions of multiple risk components on the target industrial equipment, and control the target buzzer to emit sound at each risk component position according to the preset sound frequency.

[0038] Specifically, a first movement command is sent to the first robotic arm, which includes the position information of multiple risk components. Based on the first movement command, the first robotic arm carrying the target buzzer is controlled to move to the position of each risk component, and the target buzzer is controlled to start and sound at the position of each risk component according to a preset sound frequency.

[0039] For example, the preset sound frequencies f1-f2 can be set according to the actual situation, and the preset sound frequencies can be 10kHz-50kHz.

[0040] Step S5012: Control the second robotic arm carrying the target acoustic camera to move at the position where the target buzzer sounds, and control the target acoustic camera to collect sound and image data at a preset acquisition frequency to obtain the risk acoustic coordinates of each risk component.

[0041] Specifically, a second movement command is sent to the second robotic arm, which includes the location information of multiple target buzzers. Based on the second movement command, the second robotic arm carrying a target acoustic camera is controlled to move to the location of each target buzzer, and the target acoustic camera is controlled to collect sound and image data of the risk component at a preset acquisition frequency.

[0042] For example, the preset sampling frequency can be set according to the actual situation. The preset sampling frequency can be f1*0.9-f2*1.1 to reduce interference from other noise sources in the environment.

[0043] In some optional implementations, the target acoustic camera is controlled to acquire acoustic images at a preset acquisition frequency to obtain an acoustic image map. The peak noise coordinates of each risk component are extracted from the acoustic image map to obtain the risk acoustic coordinates of each risk component. The risk acoustic coordinates are the coordinates of the risk component in the acoustic image map, which are also a pixel.

[0044] In some alternative implementations, multiple robotic arms carrying target buzzers can be controlled to move, with one target buzzer corresponding to one robotic arm. Each robotic arm moves to the position of a risk component to emit a sound, and the risk acoustic coordinates of multiple risk components are obtained at the same time.

[0045] Step S502: Select the target risk acoustic coordinate from multiple risk acoustic coordinates, and compare the target risk acoustic coordinate with each risk acoustic coordinate to obtain the comparison result; the target risk acoustic coordinate is the risk acoustic coordinate with a sound pressure level greater than the preset sound pressure level.

[0046] Specifically, step S502 includes: Step S5021: Obtain the sound pressure level corresponding to each risk acoustic coordinate, and select the risk acoustic coordinate with a sound pressure level greater than the preset sound pressure level from multiple risk acoustic coordinates as the target risk acoustic coordinate.

[0047] The acoustic image contains the spatial coordinates of the sound source and the sound pressure level distribution information. The sound pressure level corresponding to each risk acoustic coordinate is obtained based on the sound pressure level distribution information. Among multiple risk acoustic coordinates, the risk acoustic coordinate with the highest sound pressure level is selected as the target risk acoustic coordinate.

[0048] Step S5022: Determine the coordinate distance between each risk acoustic coordinate and the target risk acoustic coordinate, and compare each coordinate distance with a preset distance threshold to obtain the comparison result.

[0049] Specifically, the Euclidean distance between each risk acoustic coordinate and the target risk acoustic coordinate is determined to obtain the coordinate distance. The formula for determining the coordinate distance is: ; in, For the first The coordinate distance between the individual risk acoustic coordinates and the target risk acoustic coordinates, ( , ) is the first One risk acoustic coordinate, ( , () is the acoustic coordinate of the target risk.

[0050] In some optional implementations, the preset distance threshold can be set according to the actual situation. The larger the preset distance threshold, the easier it is to determine that a fault has occurred; the smaller the preset distance threshold, the less likely it is to determine that a fault has occurred. For example, the preset distance threshold can be 3-5.

[0051] Step S503: Monitor the fault location of the target industrial equipment based on the comparison results.

[0052] Specifically, step S503 includes: Step S5031: When the comparison result shows that the coordinate distance is less than the preset distance threshold, the risk acoustic coordinates corresponding to the coordinate distance are determined as the fault location.

[0053] When the comparison result shows that the coordinate distance is less than the preset distance threshold, it indicates that the corresponding risk component has high noise and may have malfunctioned. The risk acoustic coordinates corresponding to the coordinate distance are determined as the fault location. If the target industrial equipment is a gas pipeline, a valve shut-off measure can be implemented; if the target industrial equipment is an electrical device, a power cut-off measure can be implemented.

[0054] Step S5032: When the comparison result is that the coordinate distance is greater than or equal to the preset distance threshold, control the target buzzer to sound at multiple boundary positions on the preset risk boundary of the target industrial equipment.

[0055] When the comparison result shows that the coordinate distance is greater than or equal to the preset distance threshold, it indicates that the noise of the corresponding risk component is relatively small.

[0056] In some optional implementations, the preset risk boundary is a pre-set risk area boundary. The preset risk boundary is set in advance based on the area that is more likely to fail. The area inside the preset risk boundary is the area where failure is likely to occur, and the area outside the preset risk boundary is the area where failure is unlikely to occur.

[0057] In some alternative implementations, a first robotic arm carrying a target buzzer is controlled to move at multiple boundary positions on a preset risk boundary of the target industrial equipment, and the target buzzer is controlled to emit a sound at each boundary position according to a preset sound frequency.

[0058] Step S5033: Control the target acoustic camera to collect sound and image when the target buzzer sounds, and obtain a set of boundary acoustic coordinates of multiple boundary positions.

[0059] Specifically, the second robotic arm carrying the target acoustic camera is controlled to move at the location where the target buzzer emits sound, and the target acoustic camera is controlled to collect sound and image data at a preset acquisition frequency to obtain a set of boundary acoustic coordinates for multiple boundary locations.

[0060] Step S5034: When the risk acoustic coordinates are located inside the preset risk boundary corresponding to the boundary acoustic coordinate set, the risk acoustic coordinates are determined as candidate fault locations.

[0061] The set of boundary acoustic coordinates forms a preset risk boundary. Based on the risk acoustic coordinates and the set of boundary acoustic coordinates, it is determined whether the risk acoustic coordinates are located inside the preset risk boundary. If the risk acoustic coordinates are located inside the preset risk boundary, the risk acoustic coordinates are determined as candidate fault locations. The candidate fault locations may be unknown possible faults.

[0062] Step S5035: When the risk acoustic coordinates are located outside the preset risk boundary corresponding to the boundary acoustic coordinate set, the risk acoustic coordinates are determined to be the location of interference noise.

[0063] Among them, when the risk acoustic coordinates are located outside the preset risk boundary corresponding to the boundary acoustic coordinate set, they are judged as interference noise, not a fault.

[0064] In some optional implementations, the fault monitoring method for industrial equipment further includes: matching the risk acoustic coordinates of each component that is identified as a location of interference noise with a whitelist coordinate data table; if the match is successful, the risk acoustic coordinates are determined to be a non-fault location; the whitelist coordinate data table is a pre-used acoustic coordinate data table obtained by calibrating the interference noise location on the target industrial equipment using a target buzzer and a target acoustic camera.

[0065] The acoustic coordinates in the whitelist coordinate data table are the acoustic coordinates of the location of interference noise, such as the location of the exhaust vent. If the risk acoustic coordinates of the component are successfully matched with the whitelist coordinate data table, it indicates that they may be the location of interference noise, and therefore the risk acoustic coordinates are determined to be the location of interference noise and are considered a non-fault location. If the match fails, a target risk acoustic coordinate is selected from multiple risk acoustic coordinates that are determined to be the location of interference noise. The target risk acoustic coordinate is then compared with each of the risk acoustic coordinates that are determined to be the location of interference noise to obtain a comparison result. The target risk acoustic coordinate is determined to be the location of interference noise and is a risk acoustic coordinate with a sound pressure level greater than a preset sound pressure level. Based on the comparison results, the fault location of the target industrial equipment is monitored.

[0066] In some optional embodiments, the fault monitoring method for industrial equipment further includes: when the risk acoustic coordinates are determined to be interference noise location target industrial equipment and it is a gas pipeline equipment, matching the risk acoustic coordinates of each risk component with a first target pipeline coordinate data table; if the matching is successful, determining that the risk acoustic coordinates are interference noise location risk acoustic coordinates as first fault level coordinates; then the first target pipeline coordinate data table is an acoustic coordinate data table obtained by calibrating the coordinates of the first target pipeline equipment using a target buzzer and a target acoustic camera; then the first target pipeline equipment is determined to be nitrogen pipeline equipment; and each... If the risk acoustic coordinates are determined to be the location of interference noise, the risk acoustic coordinates are matched with the second target pipeline coordinate data table. If the match is successful, the risk acoustic coordinates are determined to be the location of interference noise and are classified as the second fault level coordinates. If the risk acoustic coordinates are determined to be the location of interference noise and the second target pipeline coordinate data table is obtained by calibrating the coordinates of the second target pipeline equipment using the target buzzer and the target acoustic camera. If the risk acoustic coordinates are determined to be the location of interference noise and the second target pipeline equipment is a hydrogen pipeline equipment, and if the fault level of the first fault level coordinates of the risk acoustic coordinates is less than the fault level of the second fault level coordinates of the risk acoustic coordinates, the risk acoustic coordinates are determined to be the location of interference noise.

[0067] For gas pipeline equipment, the system contains two types of pipelines: hydrogen pipeline equipment and nitrogen pipeline equipment. If the coordinates of the gas leak fault sound source collected by the acoustic camera coincide with the data in the nitrogen pipeline coordinate data table, it is considered a low-risk fault. Nitrogen is an inert gas with extremely inert chemical properties; it is neither flammable nor combustion-supporting, and there is no possibility of it causing a fire or explosion. If the coordinates of the gas leak fault sound source collected by the acoustic camera coincide with the data in the hydrogen pipeline coordinate data table, it is considered a high-risk fault. Hydrogen is a Class A flammable and explosive gas with an extremely wide explosion limit range and an extremely low minimum ignition energy. It can be ignited and exploded by electrostatic sparks, slight friction, or electrical contact sparking.

[0068] The fault monitoring method for industrial equipment provided in this embodiment uses a buzzer to mark the location of potential faults on an acoustic image, which can realize fault location under unmanned monitoring conditions; at the same time, the buzzer also marks the monitoring range on the acoustic image, which can capture interference noise sources such as emission noise sources and reduce false alarms of acoustic cameras.

[0069] This embodiment also provides a fault monitoring device for industrial equipment, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0070] This embodiment provides a fault monitoring device for industrial equipment, such as... Figure 6 As shown, it includes: The equipment control module 601 is used to control the position of the target buzzer on multiple risk components of the target industrial equipment to emit sound, and to control the target acoustic camera to collect sound and image when the target buzzer emits sound, so as to obtain the risk acoustic coordinates of each risk component.

[0071] The coordinate comparison module 602 is used to select a target risk acoustic coordinate from multiple risk acoustic coordinates, compare the target risk acoustic coordinate with each risk acoustic coordinate, and obtain the comparison result; the target risk acoustic coordinate is a risk acoustic coordinate with a sound pressure level greater than a preset sound pressure level.

[0072] The fault monitoring module 603 is used to monitor the fault location of the target industrial equipment based on the comparison results.

[0073] In some alternative implementations, the device control module 601 includes: The buzzer control unit is used to control the movement of the first robotic arm carrying the target buzzer at the positions of multiple risk components on the target industrial equipment, and to control the target buzzer to sound at each risk component position according to a preset sound frequency.

[0074] The camera control unit is used to control the second robotic arm carrying the target acoustic camera to move at the position where the target buzzer sounds, and to control the target acoustic camera to collect sound and image at a preset acquisition frequency to obtain the risk acoustic coordinates of each risk component.

[0075] In some alternative implementations, the coordinate comparison module 602 includes: The acoustic coordinate selection unit is used to obtain the sound pressure level corresponding to each risk acoustic coordinate, and select the risk acoustic coordinate with a sound pressure level greater than the preset sound pressure level from multiple risk acoustic coordinates as the target risk acoustic coordinate.

[0076] The coordinate comparison unit is used to determine the coordinate distance between each risk acoustic coordinate and the target risk acoustic coordinate, and compares each coordinate distance with a preset distance threshold to obtain the comparison result.

[0077] In some alternative implementations, the fault monitoring module 603 includes: The first judgment unit is used to determine the risk acoustic coordinates corresponding to the coordinate distance as the fault location when the comparison result is that the coordinate distance is less than the preset distance threshold.

[0078] The boundary buzzer unit is used to control the target buzzer to sound at multiple boundary positions on the preset risk boundary of the target industrial equipment when the comparison result is that the coordinate distance is greater than or equal to the preset distance threshold.

[0079] The boundary acquisition unit is used to control the target acoustic camera to acquire sound and image when the target buzzer sounds, and obtain a set of boundary acoustic coordinates for multiple boundary positions.

[0080] The second judgment unit is used to determine the risk acoustic coordinate as a candidate fault location when the risk acoustic coordinate is located inside the preset risk boundary corresponding to the boundary acoustic coordinate set; and to determine the risk acoustic coordinate as an interference noise location when the risk acoustic coordinate is located outside the preset risk boundary corresponding to the boundary acoustic coordinate set.

[0081] The industrial equipment fault monitoring device provided in this embodiment of the invention can execute the industrial equipment fault monitoring method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the method. Further functional descriptions of the various modules and units described above are the same as in the corresponding embodiments described above, and will not be repeated here.

[0082] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0083] The following is a detailed reference. Figure 7 This diagram illustrates a suitable structural schematic for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 701, which can perform various appropriate actions and processes based on a program stored in read-only memory (ROM) 702 or a program loaded from memory 708 into random access memory (RAM) 703. The RAM 703 also stores various programs and data required for the operation of the electronic device. The processor 701, ROM 702, and RAM 703 are interconnected via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0084] Typically, the following devices can be connected to I / O interface 705: input devices 706 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 707 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 708 including, for example, magnetic tapes, hard disks, etc.; and communication devices 709. Communication device 709 allows electronic devices to exchange data via wireless or wired communication with other devices. Although Figure 7 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0085] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 709, or installed from a memory 708, or installed from a ROM 702. When the computer program is executed by the processor 701, it performs the functions defined in the fault monitoring method for industrial equipment according to embodiments of the present invention.

[0086] Figure 7 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0087] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the fault monitoring method for industrial equipment shown in the above embodiments is implemented.

[0088] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0089] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A fault monitoring method for industrial equipment, characterized in that, The method includes: The target buzzer is controlled to emit sound at the positions of multiple risk components on the target industrial equipment, and the target acoustic camera is controlled to collect sound images when the target buzzer emits sound, so as to obtain the risk acoustic coordinates of each risk component. A target risk acoustic coordinate is selected from multiple risk acoustic coordinates, and the target risk acoustic coordinate is compared with each of the risk acoustic coordinates to obtain a comparison result; the target risk acoustic coordinate is a risk acoustic coordinate with a sound pressure level greater than a preset sound pressure level; The location of the fault in the target industrial equipment is monitored based on the comparison results.

2. The method according to claim 1, characterized in that, The control target buzzer is used to emit sound at the locations of multiple risk components on the target industrial equipment. A control target acoustic camera is used to capture sound and image data when the target buzzer emits sound, obtaining the risk acoustic coordinates of each risk component, including: The first robotic arm carrying the target buzzer is controlled to move to the positions of multiple risk components on the target industrial equipment, and the target buzzer is controlled to emit a sound at each of the risk components at a preset sound frequency. The second robotic arm carrying the target acoustic camera is controlled to move at the position where the target buzzer emits sound, and the target acoustic camera is controlled to collect sound and image data at a preset acquisition frequency to obtain the risk acoustic coordinates of each risk component.

3. The method according to claim 1 or 2, characterized in that, Selecting the target risk acoustic coordinates from among the multiple risk acoustic coordinates includes: Obtain the sound pressure level corresponding to each of the risk acoustic coordinates, and select the risk acoustic coordinates with a sound pressure level greater than the preset sound pressure level from among the multiple risk acoustic coordinates as the target risk acoustic coordinates.

4. The method according to claim 1 or 2, characterized in that, The step of comparing the target risk acoustic coordinates with each of the risk acoustic coordinates to obtain comparison results includes: Determine the coordinate distance between each of the risk acoustic coordinates and the target risk acoustic coordinates, and compare each coordinate distance with a preset distance threshold to obtain the comparison result.

5. The method according to claim 4, characterized in that, The comparison results include coordinate distances less than the preset distance threshold and coordinate distances greater than or equal to the preset distance threshold; the monitoring of the fault location of the target industrial equipment based on the comparison results includes: When the comparison result shows that the coordinate distance is less than the preset distance threshold, the risk acoustic coordinates corresponding to the coordinate distance are determined as the fault location.

6. The method according to claim 5, characterized in that, The step of monitoring the fault location of the target industrial equipment based on the comparison results further includes: When the comparison result is that the coordinate distance is greater than or equal to the preset distance threshold, the target buzzer is controlled to emit sound at multiple boundary positions on the preset risk boundary of the target industrial equipment; The target acoustic camera is controlled to acquire sound and image when the target buzzer emits sound, thereby obtaining a set of boundary acoustic coordinates for multiple boundary positions; When the risk acoustic coordinate is located inside the preset risk boundary corresponding to the boundary acoustic coordinate set, the risk acoustic coordinate is determined as a candidate fault location; When the risk acoustic coordinate is located outside the preset risk boundary corresponding to the boundary acoustic coordinate set, the risk acoustic coordinate is determined to be the location of interference noise.

7. The method according to claim 1 or 2, characterized in that, The method further includes: The risk acoustic coordinates of each risk component are matched with the whitelist coordinate data table. If the match is successful, the risk acoustic coordinates are determined to be non-fault locations. The whitelist coordinate data table is an acoustic coordinate data table obtained in advance by calibrating the location of interference noise on the target industrial equipment using the target buzzer and the target acoustic camera.

8. The method according to claim 1 or 2, characterized in that, The method further includes: When the target industrial equipment is a gas pipeline equipment, the risk acoustic coordinates of each risk component are matched with the first target pipeline coordinate data table. If the match is successful, the risk acoustic coordinates are determined to be the first fault level coordinates. The first target pipeline coordinate data table is an acoustic coordinate data table obtained in advance by calibrating the coordinates of the first target pipeline equipment using the target buzzer and the target acoustic camera. The first target pipeline equipment is a nitrogen pipeline equipment. The risk acoustic coordinates of each risk component are matched with the second target pipeline coordinate data table. If the match is successful, the risk acoustic coordinates are determined to be the second fault level coordinates. The second target pipeline coordinate data table is an acoustic coordinate data table obtained in advance by calibrating the coordinates of the second target pipeline equipment using the target buzzer and the target acoustic camera. The second target pipeline equipment is a hydrogen pipeline equipment. The fault level of the first fault level coordinates is lower than the fault level of the second fault level coordinates.

9. A fault monitoring device for industrial equipment, characterized in that, The device includes: The equipment control module is used to control the position of the target buzzer on multiple risk components of the target industrial equipment to emit sound, and to control the target acoustic camera to collect sound and image when the target buzzer emits sound, so as to obtain the risk acoustic coordinates of each risk component. The coordinate comparison module is used to select a target risk acoustic coordinate from multiple risk acoustic coordinates, and compare the target risk acoustic coordinate with each of the risk acoustic coordinates to obtain a comparison result; the target risk acoustic coordinate is a risk acoustic coordinate with a sound pressure level greater than a preset sound pressure level; The fault monitoring module is used to monitor the fault location of the target industrial equipment based on the comparison results.

10. An electronic device, characterized in that, include: A memory and a processor are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the fault monitoring method for industrial equipment as described in any one of claims 1 to 8.

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