CN118149719A - Explosion-proof gap detection system, method, equipment and medium - Google Patents
Explosion-proof gap detection system, method, equipment and medium Download PDFInfo
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Abstract
The application provides an explosion-proof gap detection system, an explosion-proof gap detection method, explosion-proof gap detection equipment and an explosion-proof gap detection medium, wherein the explosion-proof gap detection system comprises the following components: the system includes image acquisition subassembly and flame proof clearance detection subassembly, and image acquisition subassembly and flame proof clearance detection subassembly are connected, wherein: the image acquisition assembly is used for acquiring real-time explosion-proof equipment images of the explosion-proof equipment and transmitting the real-time explosion-proof equipment images to the explosion-proof gap detection assembly; the explosion-proof gap detection assembly is provided with a target explosion-proof gap detection model, wherein the explosion-proof gap detection assembly is used for extracting target explosion-proof gap parameters of target explosion-proof gaps of the explosion-proof equipment from the real-time explosion-proof equipment images based on the target explosion-proof gap detection model. The complexity of acquiring the flameproof clearance parameters of the flameproof equipment is reduced, the influence degree of electromagnetic interference on the acquisition of the flameproof clearance parameters is reduced, the acquisition efficiency and accuracy of the flameproof clearance parameters are improved, and the stability and safety of the flameproof equipment are improved.
Description
Technical Field
The application relates to the field of data processing, in particular to a flameproof gap detection system, a flameproof gap detection method, flameproof gap detection equipment and flameproof gap detection medium.
Background
With the development of technology, the explosion-proof performance of the mining explosion-proof equipment is increasingly important for the safe operation of the equipment, wherein the related parameters of the mining explosion-proof equipment have a certain influence on the performance of the explosion-proof equipment, and in the scene, the purpose of monitoring the performance of the explosion-proof equipment can be achieved by monitoring the related parameters of the explosion-proof equipment.
In the related art, the related parameters of the explosion-proof equipment can be obtained through physical measurement by using a feeler gauge, the operation is complex, the efficiency is poor, the related parameters of the explosion-proof equipment can be obtained through electronic measurement, and the electromagnetic interference is likely to occur.
Therefore, it is important how to achieve accurate and efficient acquisition of parameters of the explosion-proof equipment.
Disclosure of Invention
The object of the present application is to solve at least to some extent one of the technical problems in the art described above.
The first aspect of the present application provides an explosion-proof gap detection system, comprising: the image acquisition assembly is connected with the explosion-proof gap detection assembly, wherein: the image acquisition assembly is used for acquiring real-time flameproof equipment images of the flameproof equipment and transmitting the real-time flameproof equipment images to the flameproof gap detection assembly; the explosion-proof gap detection assembly is provided with a target explosion-proof gap detection model, wherein the explosion-proof gap detection assembly is used for extracting target explosion-proof gap parameters of the target explosion-proof gap of the explosion-proof equipment from the real-time explosion-proof equipment image based on the target explosion-proof gap detection model.
The application provides an explosion-proof gap detection system, which is further provided with the following technical characteristics:
According to one embodiment of the application, the system further comprises an alarm component for determining that the explosion-proof equipment has risk and performing risk alarm of the explosion-proof equipment in response to the fact that the target explosion-proof clearance parameter is not matched with the preset reference explosion-proof clearance parameter.
According to one embodiment of the application, the target explosion-proof gap detection model comprises the encoder, N1 first convolution layers and M1 maximum pooling layers, wherein the N1 first convolution layers and the M1 first pooling layers are sequentially connected in a staggered mode, and the encoder comprises a plurality of feature extraction channels for extracting features of the real-time explosion-proof equipment image to obtain candidate image features extracted by the feature extraction channels.
According to one embodiment of the application, the target explosion-proof gap detection model further comprises a feature fusion module, wherein the feature fusion module is used for carrying out feature fusion on candidate image features extracted by the plurality of feature extraction channels according to the feature weights of the plurality of feature extraction channels of the encoder, so as to obtain the target image features of the real-time explosion-proof equipment image.
According to one embodiment of the application, the target explosion-proof gap detection model further comprises a decoder, wherein the decoder comprises N2 second convolution layers and M2 upper convolution layers, the N2 second convolution layers and the M2 upper convolution layers are sequentially connected in a staggered mode, and the decoder is used for extracting candidate explosion-proof gaps and target explosion-proof gap parameters in the real-time explosion-proof equipment image according to the target image characteristics.
According to one embodiment of the application, the explosion-proof gap detection assembly further comprises a storage unit, wherein the storage unit is used for storing historical explosion-proof equipment images of the explosion-proof equipment and historical explosion-proof gap parameters in the historical explosion-proof equipment images; and performing iterative optimization on the target flameproof gap detection model through the historical flameproof equipment image and the historical flameproof gap parameters in the historical flameproof equipment image based on a preset time interval.
According to one embodiment of the application, the explosion-proof gap detection assembly further comprises a display, wherein the display is used for displaying a gap boundary of the real-time explosion-proof equipment image and the target explosion-proof gap in the real-time explosion-proof equipment image; displaying the historical flameproof equipment image and a gap boundary of the historical flameproof gap in the historical flameproof equipment image; and in response to the alarm assembly identifying that the flameproof device is at risk, the display pops up alarm information.
The second aspect of the application provides a method for detecting an explosion-proof gap, which comprises the following steps: acquiring an explosion-proof gap detection system, and acquiring real-time explosion-proof equipment images of the explosion-proof equipment through an image acquisition assembly in the explosion-proof gap detection system, wherein the explosion-proof gap detection system is obtained through the explosion-proof gap detection system provided by the first aspect; and extracting target explosion-proof gap parameters of the target explosion-proof gap of the explosion-proof equipment from the real-time explosion-proof equipment image through an explosion-proof gap detection assembly in the explosion-proof gap detection system.
An embodiment of a third aspect of the present application provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the explosion-proof gap detection method provided in the second aspect of the present application.
An embodiment of a fourth aspect of the present application provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the explosion suppression gap detection method provided in the second aspect of the present application.
An embodiment of the fifth aspect of the present application provides a computer program product, which when executed by an instruction processor in the computer program product, performs the explosion-proof gap detection method provided in the second aspect of the present application.
The application provides an explosion-proof gap detection system and method, comprising an image acquisition assembly and an explosion-proof gap detection assembly, wherein the image acquisition assembly is connected with the explosion-proof gap detection assembly, and the explosion-proof gap detection assembly comprises the following components: the image acquisition assembly is used for acquiring real-time explosion-proof equipment images of the explosion-proof equipment and transmitting the real-time explosion-proof equipment images to the explosion-proof gap detection assembly. The explosion-proof gap detection assembly is provided with a target explosion-proof gap detection model, wherein the explosion-proof gap detection assembly is used for extracting target explosion-proof gap parameters of target explosion-proof gaps of the explosion-proof equipment from the real-time explosion-proof equipment images based on the target explosion-proof gap detection model. According to the application, the image acquisition assembly is used for acquiring the image of the real-time flameproof equipment, the target flameproof gap detection model arranged on the flameproof gap detection assembly is used for extracting the target flameproof gap and the target flameproof gap parameter in the image of the real-time flameproof equipment, compared with a measuring method in the related art, the method does not need to rely on a preset flameproof gap detection reference object, the complexity of acquiring the flameproof gap parameter of the flameproof equipment is reduced, the influence degree of electromagnetic interference on acquiring the flameproof gap parameter is reduced, the occurrence probability of abnormal conditions of the flameproof gap parameter acquisition scale influenced by the electromagnetic interference is further reduced, the acquisition efficiency and accuracy of the flameproof gap parameter are improved, and the stability and safety of the flameproof equipment are improved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
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The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a schematic diagram of an explosion-proof gap detection system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an explosion suppression gap detection system according to another embodiment of the present application;
FIG. 3 is a schematic diagram of a target explosion-proof gap detection model according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a target explosion suppression gap detection model according to another embodiment of the present application;
FIG. 5 is a schematic flow chart of a method for detecting an explosion-proof gap according to an embodiment of the application;
Fig. 6 is a block diagram of an electronic device according to an embodiment of the application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
The explosion proof gap detection system, the explosion proof gap detection method, the explosion proof gap detection equipment and the explosion proof gap detection medium are described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of an explosion-proof gap detection system according to an embodiment of the present application, as shown in fig. 1, the explosion-proof gap detection system 100 includes an image acquisition assembly 11 and an explosion-proof gap detection assembly 12, the image acquisition assembly 11 and the explosion-proof gap detection assembly 12 are connected, wherein:
The image acquisition assembly 11 is used for acquiring real-time explosion-proof equipment images of the explosion-proof equipment and transmitting the real-time explosion-proof equipment images to the explosion-proof gap detection assembly 12.
The explosion-proof gap detection assembly 12 is provided with a target explosion-proof gap detection model, wherein the explosion-proof gap detection assembly 12 is used for extracting target explosion-proof gap parameters of target explosion-proof gaps of the explosion-proof equipment from the real-time explosion-proof equipment images based on the target explosion-proof gap detection model.
In the embodiment of the application, the explosion-proof gap of the explosion-proof equipment can be detected through the explosion-proof gap detection system 100 shown in fig. 1, as shown in fig. 1, the explosion-proof gap detection system 100 comprises the image acquisition component 11, wherein the explosion-proof equipment to be detected can be subjected to real-time image acquisition through the image acquisition component 11, and the acquired real-time image is marked as the real-time explosion-proof equipment image of the explosion-proof equipment.
The image capturing assembly 11 may be a movable image capturing assembly, or may be an image capturing assembly fixed at a preset position, which is not particularly limited herein.
As shown in fig. 1, the explosion-proof gap detection system 100 further includes an explosion-proof gap detection component 12, and after the image acquisition component 11 acquires the real-time explosion-proof equipment image of the explosion-proof equipment, the acquired real-time explosion-proof equipment image can be transmitted to the explosion-proof gap detection component 12.
It should be noted that, the image acquisition assembly 11 may be connected to the explosion-proof gap detection assembly 12 through a universal serial bus (Universal Serial Bus, USB) data line, or may be connected to the explosion-proof gap detection assembly 12 through other manners, which is not limited herein.
Optionally, a model for performing the explosion-proof gap detection on the image received by the explosion-proof gap detection assembly 12 is provided on the explosion-proof gap detection assembly 12, and the model may be labeled as a target explosion-proof gap detection model.
In this scenario, after the real-time flameproof device image is received by the flameproof gap detection component 12, the real-time flameproof device image may be input into the target flameproof gap detection model, and feature extraction and gap detection are performed on the real-time flameproof identification image through the target flameproof gap detection model, so as to output the flameproof gap in the real-time flameproof device image and the relevant parameter information of the flameproof gap, where the flameproof gap in the real-time flameproof device image extracted by the target flameproof gap detection model may be marked as the target flameproof gap, and the relevant parameter information of the flameproof gap may be marked as the target flameproof gap parameter of the target flameproof gap.
The target explosion-proof gap parameter may be a gap width of the target explosion-proof gap, or may be a gap parameter of another target explosion-proof gap, which is not specifically limited herein.
It should be noted that, the explosion-proof gap detection assembly 12 may be configured based on a mobile communication terminal, where the mobile communication terminal may be a smart phone, or may be another type of communication terminal, which is not limited herein.
The application provides an explosion-proof gap detection system, which comprises an image acquisition assembly and an explosion-proof gap detection assembly, wherein the image acquisition assembly is connected with the explosion-proof gap detection assembly, and the explosion-proof gap detection assembly comprises the following components in percentage by weight: the image acquisition assembly is used for acquiring real-time explosion-proof equipment images of the explosion-proof equipment and transmitting the real-time explosion-proof equipment images to the explosion-proof gap detection assembly. The explosion-proof gap detection assembly is provided with a target explosion-proof gap detection model, wherein the explosion-proof gap detection assembly is used for extracting target explosion-proof gap parameters of target explosion-proof gaps of the explosion-proof equipment from the real-time explosion-proof equipment images based on the target explosion-proof gap detection model. According to the application, the image acquisition assembly is used for acquiring the image of the real-time flameproof equipment, the target flameproof gap detection model arranged on the flameproof gap detection assembly is used for extracting the target flameproof gap and the target flameproof gap parameter in the image of the real-time flameproof equipment, compared with a measuring method in the related art, the method does not need to rely on a preset flameproof gap detection reference object, the complexity of acquiring the flameproof gap parameter of the flameproof equipment is reduced, the influence degree of electromagnetic interference on acquiring the flameproof gap parameter is reduced, the occurrence probability of abnormal conditions of the flameproof gap parameter acquisition scale influenced by the electromagnetic interference is further reduced, the acquisition efficiency and accuracy of the flameproof gap parameter are improved, and the stability and safety of the flameproof equipment are improved.
In the foregoing embodiment, regarding the explosion-proof gap detection system, it may be further understood with reference to fig. 2, fig. 2 is a schematic diagram of the explosion-proof gap detection system according to another embodiment of the present application, and as shown in fig. 2, the explosion-proof gap detection system 200 includes an image acquisition component 21, an explosion-proof gap detection component 22, and an alarm component 23, where the alarm component 23 is configured to determine that the explosion-proof equipment has risk in response to identifying that the target explosion-proof gap parameter does not match the preset reference explosion-proof gap parameter, and perform risk alarm of the explosion-proof equipment.
In the embodiment of the application, the corresponding reference value exists in the flame-proof gap parameter, the corresponding reference value can be marked as the reference flame-proof gap parameter, in the scene, the alarm component 23 can compare the target flame-proof gap parameter extracted by the flame-proof gap detection component with the reference flame-proof gap parameter, and when the target flame-proof gap parameter is not matched with the reference flame-proof gap parameter, the flame-proof gap of the target flame-proof equipment is judged to be abnormal, and then the current risk of the flame-proof equipment can be judged.
Further, the alarm assembly 23 can perform risk alarm of the explosion-proof equipment.
In the embodiment of the present application, the alarm assembly 23 may not receive the target flameproof gap parameter transmitted by the flameproof gap detection assembly 22, and in this scenario, the alarm assembly 23 cannot identify whether the flameproof device has a risk.
Optionally, the explosion-proof gap detection assembly 22 in the explosion-proof gap detection system 200 further includes a storage unit, where the storage unit is configured to store a historical explosion-proof device image of the explosion-proof device and a historical explosion-proof gap parameter in the historical explosion-proof device image.
And performing iterative optimization on the target explosion-proof gap detection model through the historical explosion-proof equipment images and the historical explosion-proof gap parameters in the historical explosion-proof equipment images based on a preset time interval.
In the embodiment of the present application, the explosion-proof gap detection component 22 includes a storage unit, where the storage unit stores a historical image of the explosion-proof device and related parameters of the explosion-proof gap extracted from the historical image, so that the historical image stored in the storage unit can be determined as a historical explosion-proof device image of the explosion-proof device, and the related parameters of the explosion-proof gap extracted from the historical explosion-proof device image are marked as historical explosion-proof gap parameters in the historical explosion-proof device image.
The target explosion-proof gap detection model is arranged on the explosion-proof gap detection component 22, and can be trained based on a preset time interval, wherein a training sample of the target explosion-proof gap detection model can be obtained based on historical explosion-proof equipment images in the storage unit and historical explosion-proof gap parameters in the historical explosion-proof equipment images, and further iterative optimization of the target explosion-proof gap detection model is achieved based on the training sample.
Optionally, the flameproof gap detection assembly 22 further includes a display, wherein the display is configured to display the real-time flameproof device image and a gap boundary of the target flameproof gap in the real-time flameproof device image.
And displaying the historical flameproof device image and a gap boundary of the historical flameproof gap in the historical flameproof device image.
And in response to the alarm assembly identifying that the flameproof device is at risk, the display pops up alarm information.
In the embodiment of the application, the explosion-proof gap detection assembly 22 comprises a display, wherein the display can display the real-time explosion-proof equipment image of the explosion-proof equipment acquired by the image acquisition assembly 21.
And, after the flameproof gap detection assembly 22 extracts the target flameproof gap in the real-time flameproof device image and the target flameproof gap parameter of the target flameproof gap, the display may display the target flameproof gap in the real-time flameproof device image, where a gap boundary of the target flameproof gap in the real-time flameproof device image may be displayed.
In the embodiment of the application, a worker may need to review the historical flameproof device images in the storage unit and the historical flameproof gaps in the historical flameproof device images, and in this scenario, the display on the flameproof gap detection assembly 22 may display the historical flameproof device images and the gap boundaries of the historical flameproof gaps in the historical flameproof device images for the worker to review.
In the embodiment of the application, the display can also display the risk identification result of the flameproof equipment, wherein when the alarm component 23 identifies that the flameproof equipment has risk, the display can display corresponding risk alarm information so as to achieve the purpose of carrying out risk alarm on the flameproof equipment.
According to the explosion-proof gap detection system provided by the application, the image acquisition component and the alarm component are arranged on the same movable terminal, so that the movable detection of the explosion-proof gap is realized, the image of the real-time explosion-proof equipment is acquired through the image acquisition component, the target explosion-proof gap and the target explosion-proof gap parameters in the image of the real-time explosion-proof equipment are extracted through the target explosion-proof gap detection model arranged on the explosion-proof gap detection component, compared with the measurement method in the related art, a preset explosion-proof gap detection reference object is not needed, the complexity of acquiring the explosion-proof gap parameters of the explosion-proof equipment is reduced, the influence degree of electromagnetic interference on the acquisition of the explosion-proof gap parameters is reduced, the occurrence probability of abnormal conditions that the acquisition scale of the explosion-proof gap parameters is influenced due to electromagnetic interference is further reduced, the acquisition efficiency and accuracy of the explosion-proof gap parameters are improved, and the stability and safety of the explosion-proof equipment are improved.
In the above embodiment, regarding the acquisition of the target flameproof gap parameter, it may be further understood with reference to fig. 3, and fig. 3 is a schematic diagram of a target flameproof gap detection model according to an embodiment of the present application, as shown in fig. 3, the target flameproof gap detection model 300 includes an encoder 31, a feature fusion module 32 and a decoder 33, where:
The encoder 31 comprises N1 first convolution layers and M1 maximum pooling layers, and the N1 first convolution layers and the M1 first pooling layers are sequentially connected in a staggered mode, wherein the encoder comprises a plurality of feature extraction channels for carrying out feature extraction on the real-time flameproof equipment image to obtain candidate image features extracted by the feature extraction channels.
In the embodiment of the present application, the target explosion-proof gap detection model 300 includes an encoder 31, where the encoder 31 includes N1 convolution layers and M1 maximum pooling layers, where the convolution layers in the encoder 31 may be labeled as the first convolution layer.
The N1 first convolution layers and the M1 maximum pooling layers may be sequentially connected in a staggered manner based on a preset order.
As an example, as shown in fig. 4, the encoder includes the first convolution layer 1, the first convolution layer 2, and the first convolution layer 3 shown in fig. 4, and the max-pooling layer 1, the max-pooling layer 2, and the max-pooling layer 3.
As shown in fig. 4, the connection order of the first convolution layer 1, the first convolution layer 2, and the first convolution layer 3, and the maximum pooling layer 1, the maximum pooling layer 2, and the maximum pooling layer 3 is: first convolution layer 1-max-pooling layer 1-first convolution layer 2-max-pooling layer 2-first convolution layer 3-max-pooling layer 3, in this example, may be interleaved in order based on this order.
In the embodiment of the present application, the encoder 31 may perform feature extraction on a real-time flameproof device image input into the target flameproof gap detection model, where the encoder 31 includes a plurality of feature extraction channels, performs feature extraction on the real-time flameproof device image through the plurality of feature extraction channels, and marks the features extracted by each feature extraction channel as candidate image features, so as to obtain candidate image features extracted by each of the plurality of feature extraction channels.
It should be noted that the first convolution layer in the encoder 31 may be a 3×3 convolution layer, and the activation function is a linear rectification function (Linear rectification function, relu function), and the maximum pooling layer may be a pooling layer with a step of 2×2, or may be a convolution layer with other preset dimensions, a pooling layer, or other types of activation functions, which are not specifically limited herein.
In this scenario, a compression and excitation attention mechanism network (Squeeze-and-Excitation Network, SENet) is further provided in the target flameproof gap detection model, and the SE attention mechanism network obtains importance degrees of each feature extraction channel in the plurality of feature extraction channels.
As shown in fig. 3, the target flameproof gap detection model 300 includes a feature fusion module 32, where the feature fusion module 32 is configured to perform feature fusion on candidate image features extracted by each of the extracted feature extraction channels according to feature weights of each of the feature extraction channels of the encoder, so as to obtain target image features of the real-time flameproof device image.
In the embodiment of the application, the candidate image features extracted by each of the plurality of feature extraction channels can be fused through the feature fusion module 32, wherein the feature extraction channels have respective feature weights, and the feature fusion module 32 can fuse each candidate image feature based on the feature weights of the feature extraction channels, so that fused features serving as target image features of the real-time flameproof device image are obtained.
It should be noted that, the feature fusion module 32 may perform feature fusion on the candidate image features extracted by each of the plurality of feature extraction channels based on the feature fusion method corresponding to the feature pyramid (Feature Pyramid Networks, FPN) in the related art, or may perform feature fusion on the candidate image features extracted by each of the plurality of feature extraction channels by other feature fusion methods, which is not limited herein specifically.
As shown in fig. 3, the target explosion-proof gap detection model 300 includes a decoder 33, where the decoder 33 includes N2 second convolution layers and M2 upper convolution layers, and the N2 second convolution layers and the M2 upper convolution layers are sequentially connected in a staggered manner, and the decoder 33 is configured to extract candidate explosion-proof gaps and target explosion-proof gap parameters in the real-time explosion-proof equipment image according to the target image features.
In the embodiment of the present application, the decoder 33 includes N2 convolution layers and M2 upper convolution layers, where the convolution layers in the decoder 33 may be labeled as the second convolution layer.
The N2 second convolution layers and the M2 upper convolution layers may be sequentially connected in a staggered manner based on a preset sequence.
As an example, as shown in fig. 4, the second convolution layer 1, the second convolution layer 2, and the second convolution layer 3 shown in fig. 4, and the upper convolution layer 1, the upper convolution layer 2, and the upper convolution layer 3 are included in the decoder.
As shown in fig. 4, the connection order of the second convolution layer 1, the second convolution layer 2, and the second convolution layer 3, and the upper convolution layer 1, the upper convolution layer 2, and the upper convolution layer 3 is: upper convolution layer 1-second convolution layer 1-upper convolution layer 2-second convolution layer 2-upper convolution layer 3-second convolution layer 3, in this example, may be interleaved in order based on this order.
In the embodiment of the application, the parameters of the explosion-proof gap in the real-time explosion-proof equipment image can be extracted by the decoder 33 according to the characteristics of the target image in the real-time explosion-proof equipment image and used as the parameters of the target explosion-proof gap.
According to the explosion-proof gap detection system provided by the application, the target explosion-proof gap and the target explosion-proof gap parameters in the real-time explosion-proof equipment image are extracted through the target explosion-proof gap detection model arranged on the explosion-proof gap detection assembly, compared with a measurement method in the related art, the complex degree of acquiring the explosion-proof gap parameters of the explosion-proof equipment is reduced without depending on a preset explosion-proof gap detection reference object, the acquiring efficiency and accuracy of the explosion-proof gap parameters are improved, and the stability and safety of the explosion-proof equipment are improved.
The application also provides an explosion-proof gap detection method, which can be understood by combining with fig. 5, and fig. 5 is a flow diagram of the explosion-proof gap detection method according to an embodiment of the application, as shown in fig. 5, and the method comprises the following steps:
s501, acquiring an explosion-proof gap detection system, and acquiring real-time explosion-proof equipment images of the explosion-proof equipment through an image acquisition component in the explosion-proof gap detection system.
The explosion-proof gap detection system is obtained through the explosion-proof gap detection system provided by the embodiment of the fig. 1 to 4.
In the embodiment of the application, the explosion-proof gap of the explosion-proof equipment can be detected through the explosion-proof gap detection system, wherein the explosion-proof gap detection system comprises the image acquisition assembly, and under the scene, the image acquisition can be carried out on the explosion-proof gap of the explosion-proof equipment through the image acquisition assembly.
Further, the acquired images of the explosion-proof gaps of the explosion-proof equipment can be marked as real-time explosion-proof equipment images of the explosion-proof equipment.
S502, extracting target explosion-proof gap parameters of target explosion-proof gaps of the explosion-proof equipment from the real-time explosion-proof equipment images through an explosion-proof gap detection assembly in the explosion-proof gap detection system.
In the embodiment of the application, the explosion-proof gap detection system comprises the explosion-proof gap detection assembly, and after the image acquisition assembly acquires the real-time explosion-proof equipment image of the explosion-proof equipment, the real-time explosion-proof equipment image can be transmitted to the explosion-proof gap detection assembly based on the information interaction link in the image acquisition assembly and the explosion-proof gap detection assembly.
In this scenario, the flameproof gap and the parameter of the flameproof gap may be extracted from the real-time flameproof device image by the flameproof gap detection assembly, where the flameproof gap in the real-time flameproof device image extracted by the flameproof gap detection assembly may be marked as a target flameproof gap, and the parameter of the flameproof gap in the extracted real-time flameproof device image may be marked as a target flameproof gap parameter of the target flameproof gap.
According to the explosion-proof gap detection method, an explosion-proof gap detection system is obtained, real-time explosion-proof equipment images of the explosion-proof equipment are collected through the image collection assembly in the explosion-proof gap detection system, and further, target explosion-proof gaps in the real-time explosion-proof equipment images and target explosion-proof gap parameters of the target explosion-proof gaps are extracted through the explosion-proof gap detection assembly in the explosion-proof gap detection system. According to the application, the explosion-proof gap detection system provided by the embodiment of fig. 1-4 is obtained, the image of the real-time explosion-proof equipment is obtained through the image acquisition component in the explosion-proof gap detection system, the target explosion-proof gap and the target explosion-proof gap parameters in the image of the real-time explosion-proof equipment are extracted through the target explosion-proof gap detection model arranged on the explosion-proof gap detection component, compared with the measurement method in the related art, the method does not need to depend on a preset explosion-proof gap detection reference object, the complexity of the explosion-proof gap parameter acquisition of the explosion-proof equipment is reduced, the influence degree of electromagnetic interference on the explosion-proof gap parameter acquisition is reduced, the occurrence probability of abnormal conditions that the explosion-proof gap parameter acquisition scale is influenced due to electromagnetic interference is further reduced, the acquisition efficiency and the accuracy of the explosion-proof gap parameters are improved, and the stability and the safety of the explosion-proof equipment are improved.
To achieve the above embodiments, the present application also provides an electronic device, a computer-readable storage medium, and a computer program product.
Fig. 6 is a block diagram of an electronic device according to an embodiment of the present application, as shown in fig. 6, the device 600 includes a memory 61, a processor 62, and a computer program stored in the memory 61 and capable of running on the processor 62, where the processor 61 executes program instructions to implement the method for detecting an explosion-proof gap according to the embodiment of fig. 5.
In order to implement the above embodiment, the present application further provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the explosion suppression gap detection method proposed in the embodiment of fig. 5.
In order to implement the above embodiment, the present application further provides a computer program product, which when executed by an instruction processor in the computer program product, performs the method for detecting the explosion-proof gap according to the embodiment of fig. 5.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. The utility model provides an explosion proof clearance detecting system, its characterized in that, the system includes image acquisition subassembly and explosion proof clearance detecting assembly, image acquisition subassembly with explosion proof clearance detecting assembly connects, wherein:
the image acquisition assembly is used for acquiring real-time flameproof equipment images of the flameproof equipment and transmitting the real-time flameproof equipment images to the flameproof gap detection assembly;
The explosion-proof gap detection assembly is provided with a target explosion-proof gap detection model, wherein the explosion-proof gap detection assembly is used for extracting target explosion-proof gap parameters of the target explosion-proof gap of the explosion-proof equipment from the real-time explosion-proof equipment image based on the target explosion-proof gap detection model.
2. The system of claim 1, further comprising an alarm component for determining that the flameproof device is at risk and performing a risk alarm for the flameproof device in response to identifying that the target flameproof gap parameter does not match a preset reference flameproof gap parameter.
3. The system of claim 1, wherein the target flameproof gap detection model comprises the encoder, and comprises N1 first convolution layers and M1 maximum pooling layers, wherein the N1 first convolution layers and the M1 first pooling layers are sequentially connected in a staggered manner, and the encoder comprises a plurality of feature extraction channels for extracting features of the real-time flameproof device image to obtain candidate image features extracted by the feature extraction channels.
4. The system of claim 3, wherein the target explosion-proof gap detection model further comprises a feature fusion module, wherein the feature fusion module is used for carrying out feature fusion on candidate image features extracted by each of the plurality of feature extraction channels according to the feature weights of each of the plurality of feature extraction channels of the encoder, so as to obtain target image features of the real-time explosion-proof equipment image.
5. The system of claim 4, wherein the target flameproof gap detection model further comprises a decoder comprising N2 second convolution layers and M2 upper convolution layers, the N2 second convolution layers and the M2 upper convolution layers being sequentially interleaved, wherein the decoder is configured to extract candidate flameproof gaps and the target flameproof gap parameters in the real-time flameproof device image according to the target image features.
6. The system of claim 1, wherein the flameproof gap detection assembly further comprises a storage unit for storing a historical flameproof device image of the flameproof device and historical flameproof gap parameters in the historical flameproof device image;
and performing iterative optimization on the target flameproof gap detection model through the historical flameproof equipment image and the historical flameproof gap parameters in the historical flameproof equipment image based on a preset time interval.
7. The system of claim 1, wherein the flameproof gap detection assembly further comprises a display, wherein the display is configured to display a gap boundary of the real-time flameproof device image and the target flameproof gap in the real-time flameproof device image;
displaying the historical flameproof equipment image and a gap boundary of the historical flameproof gap in the historical flameproof equipment image;
and in response to the alarm assembly identifying that the flameproof device is at risk, the display pops up alarm information.
8. The explosion-proof gap detection method is characterized by comprising the following steps of:
Acquiring an explosion-proof gap detection system, and acquiring real-time explosion-proof equipment images of explosion-proof equipment through an image acquisition assembly in the explosion-proof gap detection system, wherein the explosion-proof gap detection system is obtained through the explosion-proof gap detection system according to any one of claims 1-7;
and extracting target explosion-proof gap parameters of the target explosion-proof gap of the explosion-proof equipment from the real-time explosion-proof equipment image through an explosion-proof gap detection assembly in the explosion-proof gap detection system.
9. An electronic device, comprising:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of claim 8.
10. A non-transitory computer-readable storage medium storing computer instructions comprising:
The computer instructions for causing the computer to perform the method of claim 8.
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