Electrical fire prevention and detection system and method

Abstract

The invention discloses an electrical fire prevention and detection system and method. The electrical fire prevention and detection system comprises an image acquisition device and a cloud server. The image acquisition device is used for acquiring a plurality of images of an electrical device in operation, the electrical device in operation comprises a plurality of operation blocks, and each operation block comprises a plurality of electrical elements. The cloud server is coupled with the image acquisition device and is used for identifying abnormal electrical components and positions in the plurality of images and providing an evaluation report of the abnormal electrical components. Therefore, personnel and financial losses caused by faults of electrical elements are prevented, the occurrence of industrial safety events is reduced, industrial manufacturing interference is avoided, and the working efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to a fire prevention detection technology, in particular to an electrical fire prevention detection system and method. BACKGROUND

[0002] Generally, most of the industrial accidents are caused by the abnormal temperature of the mechanical and electrical equipment or chemicals. Therefore, if the abnormal temperature can be detected in advance, the chain effect caused by the abnormal temperature can be eliminated, and the occurrence of the industrial accidents can be prevented. However, for the large and complex mechanical and electrical equipment, the contact type single-point measurement is not suitable for the management, maintenance and abnormal state prediction of the operation. Therefore, how to effectively establish the detection mechanism of the industrial field is an important issue in this technical field. SUMMARY

[0003] The present application provides an electrical fire prevention detection system and method, which can effectively establish the detection mechanism of the industrial field, prevent the failure of the electrical components, reduce the occurrence of industrial accidents, avoid industrial manufacturing interference, and improve the work efficiency.

[0004] The electrical fire prevention detection system provided by the present application comprises an image acquisition device and a cloud server. The image acquisition device is used to acquire a plurality of images of an electrical device in operation. The electrical device in operation comprises a plurality of operation blocks, and each operation block comprises a plurality of electrical components. The cloud server is coupled to the image acquisition device and is used to identify the abnormal electrical components and positions in the plurality of images and provide an evaluation report of the abnormal electrical components.

[0005] In an embodiment of the present application, the image acquisition device comprises an imaging module and an infrared thermal imaging module. The image acquisition device acquires a first image through the imaging module and acquires a second image through the infrared thermal imaging module. The plurality of images comprises the first image and the second image.

[0006] In an embodiment of the present application, the image acquisition device distinguishes the plurality of operation blocks in the first image and identifies the plurality of electrical components through image recognition. The image acquisition device acquires the temperature values of the plurality of electrical components in the second image through image recognition. The abnormal electrical components are identified according to the plurality of operation blocks, the plurality of electrical components and the temperature values of the plurality of electrical components.

[0007] In an embodiment of the present application, the image acquisition device acquires the images of the abnormal electrical components again through the imaging module and the infrared thermal imaging module. The plurality of images comprises the images of the abnormal electrical components.

[0008] In an embodiment of the present application, the cloud server analyzes the abnormal electrical components and the abnormal causes of the positions, and performs risk assessment according to the component abnormality judgment standard to generate an evaluation report of the abnormal electrical components.

[0009] In an embodiment of the present application, the evaluation report of the abnormal electrical components includes improvement level schemes and improvement schemes.

[0010] The electrical fire prevention detection method provided by the present application is suitable for an electrical fire prevention detection system, wherein the electrical fire prevention detection system comprises an image acquisition device and a cloud server coupled to the image acquisition device, and the electrical fire prevention detection method comprises: acquiring a plurality of images of an electrical device in operation by the image acquisition device, wherein the electrical device in operation comprises a plurality of operation blocks, and each operation block comprises a plurality of electrical components; and identifying abnormal electrical components and positions in the plurality of images by the cloud server and providing an evaluation report of the abnormal electrical components.

[0011] In an embodiment of the present application, the acquiring a plurality of images of an electrical device in operation by the image acquisition device comprises: acquiring a first image by an imaging module; and acquiring a second image by an infrared thermal imaging module; wherein the plurality of images comprises the first image and the second image.

[0012] In an embodiment of the present application, the acquiring a plurality of images of an electrical device in operation by the image acquisition device further comprises: distinguishing a plurality of operation blocks in the first image and identifying a plurality of electrical components by image recognition; acquiring temperature values of the plurality of electrical components in the second image by image recognition; and identifying abnormal electrical components according to the plurality of operation blocks, the plurality of electrical components, and the temperature values of the plurality of electrical components.

[0013] In an embodiment of the present application, the acquiring a plurality of images of an electrical device in operation by the image acquisition device further comprises: acquiring images of the abnormal electrical components again by the imaging module and the infrared thermal imaging module; wherein the plurality of images comprises the images of the abnormal electrical components.

[0014] In an embodiment of the present application, the identifying abnormal electrical components and positions in the plurality of images by the cloud server and providing an evaluation report of the abnormal electrical components comprises: analyzing the abnormal electrical components and the abnormal causes of the positions, and performing risk assessment according to the component abnormality judgment standard to generate an evaluation report of the abnormal electrical components.

[0015] In an embodiment of the present application, the evaluation report of the abnormal electrical components includes improvement level schemes and improvement schemes.

[0016] The present application can detect abnormal electrical components by using the imaging module and the infrared thermal imaging module, identify the abnormal electrical components and positions through the cloud server, and provide an evaluation report, thereby preventing the failure of the electrical components and causing the loss of personnel and finance, reducing the occurrence of work safety incidents, avoiding industrial manufacturing interference, and improving work efficiency.

[0017] The above description is only a summary of the technical solutions of the present application. In order to enable one skilled in the art to better understand the technical means of the present application and to implement it according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 A schematic diagram of an electrical fire prevention detection system provided by an embodiment of the present application;

[0019] Figure 2 A flowchart of an electrical fire prevention detection method provided by an embodiment of the present application;

[0020] Figure 3 A flowchart of acquiring images of electrical devices in operation provided by an embodiment of the present application;

[0021] Figure 4 A flowchart of identifying abnormal electrical components and positions in images and providing an evaluation report provided by an embodiment of the present application. DETAILED DESCRIPTION

[0022] The present invention is particularly described with reference to the following examples, which are intended to be illustrative only. As variations and modifications are apparent to those skilled in the art without departing from the spirit and scope of the present disclosure, the scope of protection of the present disclosure is to be determined by the appended claims. Throughout the specification and claims, unless the context clearly dictates otherwise, the meanings of "a," "an," and "the" include references to "one or at least one" element or component. Furthermore, as used herein, the singular article includes references to plural elements or components unless the context clearly dictates otherwise. Furthermore, as used in this description and throughout the following claims, the meaning of "in which" includes "in which" and "on which" unless the context clearly dictates otherwise. Terms used throughout the specification and claims generally have their ordinary meanings as used in the art, within the context of this disclosure, and in the particular context, unless otherwise noted. Certain terms used to describe the present invention are discussed below and elsewhere in this specification to provide practitioners with additional guidance regarding the present invention. The use of examples throughout this specification, including examples of any term discussed herein, is intended to be illustrative only and does not limit the scope or meaning of the invention or any term used in the examples. Similarly, the present invention is not limited to the various embodiments presented in this specification.

[0023] Furthermore, the terms "couple" or "connect" are intended to encompass any direct and indirect electrical connection. For example, if a first device is described as being electrically coupled to a second device, this means that the first device may be directly connected to the second device or indirectly connected to the second device through another device or connection. Furthermore, when describing the transmission or provision of electrical signals, those skilled in the art will understand that the transmission of electrical signals may be accompanied by attenuation or other non-ideal changes. However, unless otherwise specified, the source and receiving ends of the transmitted or provided electrical signal should be considered to be substantially the same signal. For example, if an electrical signal S is transmitted (or provided) from terminal A of an electronic circuit to terminal B of the electronic circuit, a voltage drop may occur across the source and drain of a transistor switch and / or through possible stray capacitance. However, unless the design purpose is to intentionally exploit the attenuation or other non-ideal changes caused by the transmission (or provision) to achieve a specific technical effect, electrical signal S should be considered to be substantially the same signal at terminals A and B of the electronic circuit.

[0024] It is to be understood that the phrases "comprising", "including", "having", "containing", "involving", and the like, as used in the specification are open-ended, i.e., mean including but not limited to. Also, the singular forms "a", "an" and "the" include plural referents unless the context clearly dictates otherwise. In addition, the term "adapted" as used herein is intended to mean "programmed or designed" or "configured" or "constructed" or "formed" or "comprised of" or "comprising" or "including" or "involving" or "having" or "containing", unless the context clearly dictates otherwise. Furthermore, the section headings and titles are for convenience only and are not to be taken as limiting the claims or the meaning of the technical descriptions.

[0025] Referring to Figure 1 FIG. 1 shows a schematic diagram of an electrical fire prevention detection system according to an embodiment of the present disclosure. The electrical fire prevention detection system 1 according to the embodiment includes an image acquisition device 2 and a cloud server 3, wherein the cloud server 3 is coupled to the image acquisition device 2. In addition, the electrical fire prevention detection system 1 according to the embodiment can be applied to various industrial electrical fields. Before the electrical fire prevention detection system 1 is implemented, a detection personnel will receive a power distribution planning map of the industrial electrical field provided by the cloud server 3 in advance so as to detect each electrical device 4 in sequence, and while the detection personnel detects each electrical device 4 using the image acquisition device 2, the image acquisition device 2 can record and store data of the corresponding electrical device 4 in sequence. In the embodiment, the image acquisition device 2 includes an imaging module 21 and an infrared thermal imaging module 22 to acquire a plurality of images of the electrical device 4 in operation, wherein the image acquisition device 2 is, for example, a smart phone or other electronic device with computing function, the electrical device 4 is, for example, an industrial electrical equipment such as a power distribution box, the electrical device 4 includes a plurality of operation blocks 41, each operation block 41 includes a plurality of electrical elements 42, and the operation block 41 is, for example, an industrial electronic circuit such as a power supply circuit or a power distribution circuit, and the electrical element 42 is, for example, an electronic device through which current can pass such as a switch or a cable. In other embodiments, the image acquisition device 2 is, for example, a smart phone and includes an infrared thermal imaging device connected externally. In the embodiment, the cloud server 3 is used to identify abnormal electrical elements 42 and positions in the plurality of images and provide an evaluation report of the abnormal electrical elements 42.

[0026] Specifically, the image acquisition device 2 captures a first image using the imaging module 21, thereby distinguishing multiple operating blocks 41 and identifying multiple electrical components 42 in the first image through image recognition. The device then captures a second image using the infrared thermal imaging module 22, thereby obtaining temperature values ​​of the multiple electrical components 42 in the second image through image recognition. The device then identifies abnormal electrical components 42 based on the operating blocks 41, the electrical components 42, and the temperature values ​​of the multiple electrical components 42. Finally, the device again captures images of the abnormal electrical components 42 using the imaging module 21 and the infrared thermal imaging module 22, wherein the multiple images include the first image, the second image, and the image of the abnormal electrical components 42. After receiving the multiple images, the cloud server 3 analyzes the abnormal electrical components 42 and their locations, identifies the causes of the abnormalities, and performs a risk assessment based on component abnormality determination criteria to generate an assessment report on the abnormal electrical components 42. It should be noted that the aforementioned image recognition utilizes edge computing to collect target data for faster data processing. Specifically, after receiving multiple images, the cloud server 3 analyzes general images, thermal images, and temperature data files. The artificial intelligence recognition unit then performs temperature analysis on the electrical components 42 in the images to identify the electrical components 42 with abnormal temperatures in the images. The locations of the electrical components 42 with abnormal temperatures or the range frames within which they are located are then marked in the images. The causes of the abnormalities, such as age or malfunction, are then determined based on the electrical components 42 with abnormal temperatures. Finally, an evaluation report is generated based on component abnormality determination standards such as IEC, SPIE, SEMI, ISA, and IEEE, generating improvement level plans such as "caution," "limited improvement," and "immediate improvement," as well as improvement plans such as recommended replacement and repair, recommended re-locking or crimping, and recommended disk cleaning.

[0027] See also Figure 2 FIG2 is a flow chart of an electrical fire prevention and detection method provided in one embodiment of the present invention. The electrical fire prevention and detection method provided in this embodiment includes the following steps. Step S1: Acquire multiple images of an operating electrical device 4 through an image acquisition device 2, wherein the operating electrical device 4 includes multiple operating blocks 41, and each operating block 41 includes multiple electrical components 42. Step S3: Identify abnormal electrical components 42 and their locations in the multiple images through a cloud server 2 and provide an assessment report of the abnormal electrical components 42. The functions performed by the image acquisition device 2 and the cloud server 2 in this embodiment are as described in the corresponding paragraphs of the aforementioned embodiments, and therefore will not be repeated here.

[0028] See also Figure 3As shown in the figure, it is a flow chart of acquiring images of electrical devices in operation provided by an embodiment of the present application. The step S1 provided by the embodiment includes the following steps. Step S11: acquiring a first image by the imaging module 21. Step S13: distinguishing a plurality of operation blocks 41 in the first image and identifying a plurality of electrical elements 42 by image recognition. Step S15: acquiring a second image by the infrared thermal imaging module 22. Step S17: acquiring temperature values of the plurality of electrical elements 42 in the second image by image recognition. Step S19: identifying abnormal electrical elements 42 according to the plurality of operation blocks 41, the plurality of electrical elements 42 and the temperature values of the plurality of electrical elements 42. Step S21: acquiring images of the abnormal electrical elements 42 again by the imaging module 21 and the infrared thermal imaging module 22, in detail, when the electrical elements 42 are abnormal such as high temperature or relatively high temperature, the image acquisition device 2 will guide the person taking the image to take the abnormal electrical elements again. The functions of the image acquisition device 2, the imaging module 21 and the infrared thermal imaging module 22 in the embodiment are as described in the corresponding paragraphs of the previous embodiments, and thus will not be described here.

[0029] Please refer to Figure 4 As shown in the figure, it is a flow chart of identifying abnormal electrical elements and positions in images and providing evaluation reports provided by an embodiment of the present application. The step S3 provided by the embodiment includes the following steps. Step S31: analyzing abnormal reasons of the abnormal electrical elements and positions, and performing risk assessment according to element abnormality judgment standards to generate evaluation reports of the abnormal electrical elements. The functions of the cloud server 2 in the embodiment are as described in the corresponding paragraphs of the previous embodiments, and thus will not be described here.

[0030] Finally, the search report generated by the cloud server 2 can be displayed on electronic devices such as computers of relevant units, so as to be provided to detection personnel and experts for review.

[0031] In summary, the electrical fire prevention detection system and method provided by the present application can detect abnormal electrical elements by using an imaging module and an infrared thermal imaging module, and identify abnormal electrical elements and positions by a cloud server and provide evaluation reports, so as to prevent failures of electrical elements from causing loss of personnel and finance, reduce occurrence of work safety incidents, avoid industrial manufacturing interference, and improve work efficiency.

[0032] The above merely describes preferred embodiments of the present application, and is not intended to limit the present application in any form. Although the present application has been disclosed with the preferred embodiments as above, it is not intended to limit the present application, and any person skilled in the art can make some changes or modifications to the above disclosed methods and technical contents to make equivalent embodiments with equivalent changes, but as long as the changes or modifications do not deviate from the technical solutions of the present application, and any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present application are still within the scope of the technical solutions of the present application.

Claims

1. An electrical fire prevention detection system, characterized by, The method comprises: acquiring, by an image acquisition device, a plurality of images of an electrical device in operation, wherein the electrical device in operation comprises a plurality of operation blocks, each of the plurality of operation blocks comprises a plurality of electrical components; identifying, by a cloud server coupled to the image acquisition device, abnormal electrical components and locations in the plurality of images, and providing an evaluation report of the abnormal electrical components.

2. The electrical fire-prevention detection system of claim 1, wherein, The image acquisition device comprises an imaging module and an infrared thermal imaging module, wherein the image acquisition device acquires first images through the imaging module and acquires second images through the infrared thermal imaging module, and the plurality of images comprises the first images and the second images.

3. The electrical fire-prevention detection system of claim 2, wherein, The image acquisition device distinguishes the plurality of operation blocks in the first images and identifies the plurality of electrical components through image recognition, acquires temperature values of the plurality of electrical components in the second images through image recognition, and identifies the abnormal electrical components according to the plurality of operation blocks, the plurality of electrical components, and the temperature values of the plurality of electrical components.

4. The electrical fire-prevention detection system of claim 3, wherein, The image acquisition device again acquires images of the abnormal electrical components through the imaging module and the infrared thermal imaging module, and the plurality of images comprises the images of the abnormal electrical components.

5. The electrical fire-prevention detection system of claim 1, wherein, The cloud server analyzes the abnormal reasons of the abnormal electrical components and locations, and performs risk assessment according to component abnormality judgment criteria to generate the evaluation report of the abnormal electrical components.

6. The electrical fire-prevention detection system of claim 5, wherein, The evaluation report of the abnormal electrical components comprises improvement level schemes and improvement schemes.

7. An electrical fire prevention detection method characterized by, The method is suitable for an electrical fire prevention detection system, wherein the electrical fire prevention detection system comprises an image acquisition device and a cloud server coupled to the image acquisition device, and the method comprises: acquiring, by the image acquisition device, a plurality of images of an electrical device in operation, wherein the electrical device in operation comprises a plurality of operation blocks, each of the plurality of operation blocks comprises a plurality of electrical components; and identifying, by the cloud server, abnormal electrical components and locations in the plurality of images, and providing an evaluation report of the abnormal electrical components.

8. The electrical fire-prevention detection method according to claim 7, wherein The image acquisition device comprises an imaging module and an infrared thermal imaging module, wherein acquiring the plurality of images of the electrical device in operation by the image acquisition device comprises: acquiring first images through the imaging module; and acquiring second images through the infrared thermal imaging module; wherein the plurality of images comprises the first images and the second images.

9. The electrical fire prevention detection method of claim 8, wherein, Acquiring the plurality of images of the electrical device in operation by the image acquisition device further comprises: distinguishing the plurality of operation blocks in the first images and identifying the plurality of electrical components through image recognition; acquiring temperature values of the plurality of electrical components in the second images through image recognition; and identifying the abnormal electrical components according to the plurality of operation blocks, the plurality of electrical components, and the temperature values of the plurality of electrical components.

10. The electrical fire prevention detection method according to claim 9, wherein, Acquiring the plurality of images of the electrical device in operation by the image acquisition device further comprises: again acquiring images of the abnormal electrical components through the imaging module and the infrared thermal imaging module; wherein the plurality of images comprises the images of the abnormal electrical components.

11. The electrical fire prevention detection method of claim 7, wherein, Identifying abnormal electrical components and positions in the images through the cloud server and providing an evaluation report of the abnormal electrical components include: Analyzing abnormal reasons of the abnormal electrical components and positions, and performing risk assessment according to component abnormality judgment standards to generate an evaluation report of the abnormal electrical components.

12. The electrical fire-prevention detection method according to claim 11, wherein The evaluation report of the abnormal electrical components includes improvement level schemes and improvement schemes.

Images