Construction site fire qualification examination method, device, system, equipment, medium and product

Abstract

The invention discloses a construction site fire operation qualification examination method, device, system, equipment, medium and product, and relates to the technical field of construction site safety management. The method comprises the following steps: firstly, capturing a face image of a fire operation worker from monitoring video data, and then importing the face image into a face recognition model which completes pre-training based on a face recognition algorithm to obtain a face recognition result; and then, according to a face recognition result, searching whether fire operation qualification certificate information of the fire operation personnel exists in a database, if so, automatically checking whether the fire operation qualification certificate information is qualified, and finally, pushing a fire operation qualification checking result to terminal equipment of safety management personnel at a construction site. Therefore, the fire operation personnel in the construction site can be quickly and accurately identified, and the fire operation qualification certificate of the fire operation personnel can be automatically searched and examined, so that manual errors and negligence can be reduced, and the safety, management efficiency and supervision accuracy of the fire operation in the construction site can be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of construction site safety management, and specifically relates to a construction site hot work qualification review method, device, system, equipment, medium and product. Background Art

[0002] Hot work is a high-risk operation at the construction site, which requires strict qualification management and safety supervision. However, traditional qualification review methods often rely on manual operations, which are not only inefficient but also prone to negligence and errors. Therefore, how to quickly and accurately identify hot work personnel at the construction site, and automatically search and review the hot work qualification certificates of hot work personnel, so as to improve the safety, management efficiency and supervision accuracy of hot work at the construction site, is a topic that technicians in this field urgently need to study. Summary of the invention

[0003] The purpose of the present invention is to provide a method, device, system, computer equipment, computer readable storage medium and computer program product for reviewing the qualifications of hot work at a construction site, so as to solve the problems that the existing scheme for reviewing the qualifications of hot work at a construction site is inefficient and prone to negligence and errors due to reliance on manual operation.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] In the first aspect, a construction site hot work qualification review method is provided, comprising:

[0006] Acquire video data collected by a surveillance camera in real time at the construction site, wherein the field of view of the surveillance camera covers the construction site;

[0007] Capturing a facial image of a person performing hot work from the video data;

[0008] Importing the facial image of the human face into a face recognition model pre-trained based on a face recognition algorithm to obtain a face recognition result of the hot work worker;

[0009] Accessing a database according to the face recognition result, and searching whether there is hot work qualification certificate information of the hot work personnel in the database;

[0010] If the hot work qualification certificate information of the hot work personnel is found in the database, the hot work qualification certificate information is automatically checked to see if it is qualified, and the hot work qualification review result of the hot work personnel is obtained;

[0011] The hot work qualification review result is pushed to the terminal device of the safety manager of the construction site to assist the safety manager in deciding whether to allow the hot work personnel to perform hot work at the construction site.

[0012] Based on the above invention content, a new solution for automatic review of the qualifications of hot work at construction sites based on a face recognition algorithm is provided, namely, firstly, the facial image of the hot work personnel is captured from the video data obtained by the monitoring camera in real time at the construction site, and then the facial image is imported into a face recognition model pre-trained based on the face recognition algorithm to obtain a face recognition result, and then according to the face recognition result, it is searched whether there is the hot work qualification certificate information of the hot work personnel in the database, and when so, the hot work qualification certificate information is automatically reviewed to see whether it is qualified, and finally the hot work qualification review result is pushed to the terminal device of the safety management personnel at the construction site, so that the hot work personnel at the construction site can be quickly and accurately identified, and the hot work qualification certificates of the hot work personnel can be automatically searched and reviewed, thereby reducing errors and negligence in manual operations, improving the safety, management efficiency and supervision accuracy of hot work at the construction site, saving manpower and material resources, improving the economic effect of the construction project, and facilitating practical application and promotion.

[0013] In one possible design, after accessing the database according to the face recognition result, the method further includes:

[0014] If the hot work qualification certificate information of the hot work personnel is not found in the database, a hot work prohibition reminder message is pushed to the terminal device of the safety manager of the construction site to remind the safety manager to prohibit the hot work personnel from performing hot work at the construction site.

[0015] In a possible design, a facial image of a person performing hot work is captured from the video data, including:

[0016] Using a first deep learning algorithm or a first target detection algorithm to perform hot work personnel detection processing on the video data to obtain a hot work personnel detection result;

[0017] If the hot work personnel detection result indicates that there is at least one hot work personnel, for each hot work personnel in the at least one hot work personnel, according to the corresponding marked box in the hot work personnel detection result, a corresponding full-body image of the person located in the box is captured from the video data;

[0018] For each of the personnel involved in the hot work, a second deep learning algorithm or a second target detection algorithm is used to perform face detection processing on the corresponding full-body image of the personnel to obtain a corresponding face marking frame, and based on the face marking frame, a corresponding face image located within the frame is captured from the corresponding full-body image of the personnel.

[0019] In a possible design, the hot work qualification certificate information is automatically reviewed to determine whether it is qualified, and the hot work qualification review result of the hot work operator is obtained, including:

[0020] Automatically check whether the hot work qualification certificate in the hot work qualification certificate information is authentic. If so, determine that the hot work qualification review result of the hot work operator is qualified; otherwise, determine that the hot work qualification review result of the hot work operator is unqualified;

[0021] And / or, based on the personnel identity content in the hot work qualification certificate information, automatically check whether it is consistent with the identification content of the hot work personnel, if so, determine that the hot work qualification review result of the hot work personnel is qualified, otherwise determine that the hot work qualification review result of the hot work personnel is unqualified;

[0022] and / or, automatically checking whether the facial photo image in the hot work qualification certificate information matches the captured facial image of the hot work personnel, and if so, determining that the hot work qualification review result of the hot work personnel is qualified, otherwise determining that the hot work qualification review result of the hot work personnel is unqualified;

[0023] And / or, based on the issuance date and validity period in the hot work qualification certificate information, automatically check whether the expiration condition has been met. If so, the hot work qualification review result of the hot work personnel is determined to be unqualified; otherwise, the hot work qualification review result of the hot work personnel is determined to be qualified.

[0024] In a possible design, the database is located in a server that uses firewall technology and level 3 security measures.

[0025] In a second aspect, a construction site hot work qualification review device is provided, comprising a video data acquisition unit, a face image capture unit, a face recognition processing unit, a certificate information search unit, a hot work qualification review unit, and a review result push unit, which are sequentially connected in communication;

[0026] The video data acquisition unit is used to acquire video data collected by a monitoring camera on the construction site in real time, wherein the camera field of view of the monitoring camera covers the construction site;

[0027] The facial image capturing unit is used to capture the facial image of the hot work worker from the video data;

[0028] The face recognition processing unit is used to import the face image into a face recognition model pre-trained based on a face recognition algorithm to obtain a face recognition result of the hot work worker;

[0029] The certificate information search unit is used to access the database according to the face recognition result, and search whether there is the hot work qualification certificate information of the hot work personnel in the database;

[0030] The hot work qualification review unit is used to automatically review whether the hot work qualification certificate information of the hot work operator is qualified if the hot work qualification certificate information of the hot work operator is found in the database, and obtain the hot work qualification review result of the hot work operator;

[0031] The review result pushing unit is used to push the hot work qualification review result to the terminal device of the safety manager of the construction site, so as to assist the safety manager in deciding whether to allow the hot work personnel to perform hot work at the construction site.

[0032] In a third aspect, the present invention provides a construction site hot work qualification review system, including a monitoring camera, a database, a processing device, and a terminal device of a safety manager;

[0033] The monitoring camera is communicatively connected to the processing device and is used to collect video data of the construction site in real time and transmit the collected results to the processing device in real time;

[0034] The database is communicatively connected to the processing device and is used to bind and store the hot work qualification certificate information and face recognition result information of several personnel so as to be accessed and searched by the processing device;

[0035] The processing device is communicatively connected to the terminal device and is used to execute the construction site hot work qualification review method as described in the first aspect or any possible design of the first aspect;

[0036] The terminal device is used to display the message from the processing device to assist the safety manager in deciding whether to allow hot work at the construction site.

[0037] In a fourth aspect, the present invention provides a computer device, comprising a storage module, a processing module and a transceiver module which are communicatively connected in sequence, wherein the storage module is used to store a computer program, the transceiver module is used to send and receive messages, and the processing module is used to read the computer program to execute the construction site hot work qualification review method as described in the first aspect or any possible design of the first aspect.

[0038] In a fifth aspect, the present invention provides a computer-readable storage medium having instructions stored thereon, which, when executed on a computer, executes the construction site hot work qualification review method as described in the first aspect or any possible design of the first aspect.

[0039] In a sixth aspect, the present invention provides a computer program product, including a computer program or instructions, which, when executed by a computer, implements the construction site hot work qualification review method as described in the first aspect or any possible design of the first aspect.

[0040] Beneficial effects of the above scheme:

[0041] (1) The present invention creatively provides a new solution for automatically reviewing the qualifications of hot work personnel at construction sites based on a face recognition algorithm, namely, firstly capturing the facial image of the hot work personnel from the video data acquired by the monitoring camera in real time at the construction site, and then importing the facial image into a face recognition model pre-trained based on the face recognition algorithm to obtain the face recognition result, and then searching for the hot work qualification certificate information of the hot work personnel in the database according to the face recognition result, and automatically reviewing whether the hot work qualification certificate information is qualified when it is, and finally pushing the hot work qualification review result to the terminal device of the safety management personnel at the construction site, so that the hot work personnel at the construction site can be quickly and accurately identified, and the hot work qualification certificates of the hot work personnel can be automatically searched and reviewed, thereby reducing errors and negligence in manual operation, improving the safety, management efficiency and supervision accuracy of hot work at the construction site, saving manpower and material resources, improving the economic effect of the construction project, and facilitating practical application and promotion. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A flowchart of a construction site hot work qualification review method provided in an embodiment of the present application.

[0044] Figure 2 An example diagram of a video frame image in video data is provided for an embodiment of the present application.

[0045] Figure 3 A schematic diagram of the structure of a construction site hot work qualification review device provided in an embodiment of the present application.

[0046] Figure 4 A schematic diagram of the structure of a construction site hot work qualification review system provided in an embodiment of the present application.

[0047] Figure 5 A schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in combination with the drawings and the description of the embodiments or the prior art. Obviously, the following description of the structures of the drawings is only some embodiments of the present invention. For ordinary technicians in this field, other embodiments can be obtained based on these embodiments without creative work. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0049] It should be understood that although the terms first and second, etc. may be used herein to describe various objects, these objects should not be limited by these terms. These terms are only used to distinguish one object from another object. For example, a first object can be referred to as a second object, and similarly, a second object can be referred to as a first object without departing from the scope of the exemplary embodiments of the present invention.

[0050] It should be understood that the term "and / or" that may appear in this document is merely a description of the association relationship between associated objects, indicating that there may be three relationships. For example, A and / or B can indicate three situations: A exists alone, B exists alone, or A and B exist at the same time. For another example, A, B and / or C can indicate the existence of any one of A, B and C or any combination of them. The term " / and" that may appear in this document describes another type of association object relationship, indicating that there may be two relationships. For example, A / and B can indicate two situations: A exists alone or A and B exist at the same time. In addition, the character " / " that may appear in this document generally indicates that the previous and next associated objects are in an "or" relationship.

[0051] Example

[0052] like Figure 1 As shown, the construction site hot work qualification review method provided in the first aspect of this embodiment can be, but is not limited to, executed by a computer device having certain computing resources and communicating with the terminal devices of the monitoring camera, the database, and the security management personnel, for example, by an edge computing device arranged at the construction site. The construction site hot work qualification review method includes, but is not limited to, the following steps S1 to S6.

[0053] S1. Obtain video data collected by a surveillance camera on a construction site in real time, wherein the field of view of the surveillance camera covers the construction site.

[0054] In step S1, the monitoring camera may be a fixed camera installed at the construction site, or a mobile camera (such as a mobile phone camera, etc.) held by a security manager at the construction site, and may be implemented by using an existing high-definition camera product. The specific method of collecting and transmitting the video data to the local computer is an existing technical means. In addition, the video frame image in the video data is, for example, Figure 2 shown.

[0055] S2. Capturing a facial image of a person performing hot work from the video data.

[0056] In step S2, it is considered that the personnel at the construction site mainly include hot work personnel, on-site supervisors and safety inspectors (i.e., the safety management personnel), and if the hot work personnel are to be subject to hot work qualification review, the facial images of the hot work personnel need to be captured first. Specifically, capturing the facial images of the hot work personnel from the video data includes but is not limited to the following steps S21 to S23.

[0057] S21. Use the first deep learning algorithm or the first target detection algorithm to perform hot work personnel detection processing on the video data to obtain the hot work personnel detection results.

[0058] In step S21, the deep learning algorithm is an important branch of the artificial intelligence algorithm. It uses neural networks and large-scale data to simulate the learning and reasoning process of the human brain, thereby achieving autonomous learning and decision-making. It has been widely used in technical fields such as image recognition, speech recognition, and natural language processing. The object detection algorithm is an existing artificial intelligence recognition algorithm used to identify objects in an image and mark the location of the objects. Specifically, it may include but is not limited to Faster R-CNN (Faster Regions with Convolutional Neural Networks features, a target detection algorithm proposed by He Kaiming et al. in 2015. The algorithm won multiple first places in the 2015 ILSVRV and COCO competitions) target detection algorithm, SSD (Single Shot MultiBox Detector, a target detection algorithm proposed by Wei Liu at ECCV 2016, and one of the main popular detection frameworks) target detection algorithm or YOLO (You only look once, currently the latest version has been developed to V5, and is also widely used in the industry. Its basic principle is: first, the input image is divided into 7×7 grids, and two borders are predicted for each grid. Then, the target windows with relatively low probability are removed according to the threshold, and finally, the redundant windows are removed by border merging to obtain the detection result) target detection algorithm, etc. Since the clothing style and / or working posture of personnel performing hot work must be different from those of other on-site personnel, it is possible to detect whether there is a marking box for personnel performing hot work (i.e., as the detection result of the personnel performing hot work) in the video frame image of the video data based on the existing deep learning algorithm or target detection algorithm; for example, the first deep learning algorithm may be, but is not limited to, the existing R-FCN algorithm (full name: Region-based Fully Convolutional Networks, proposed by Microsoft's He Kaiming team at NIPS 2016), and the first target detection algorithm may be, but is not limited to, the YOLO V5 target detection algorithm.

[0059] S22. If the hot work worker detection result indicates that there is at least one hot work worker, then for each hot work worker among the at least one hot work worker, according to the corresponding marked box in the hot work worker detection result, a corresponding full-body image of the person located in the box is captured from the video data.

[0060] In step S22, since each hot work worker mark box in the hot work worker detection result corresponds to a hot work worker, the full-body image of each hot work worker can be easily captured from the video frame image of the video data.

[0061] S23. For each of the personnel involved in the hot work, a second deep learning algorithm or a second target detection algorithm is used to perform face detection processing on the corresponding full-body image of the personnel to obtain a corresponding face marking frame, and based on the face marking frame, a corresponding face image located within the frame is captured from the corresponding full-body image of the personnel.

[0062] In the step S23, for example, the second deep learning algorithm may also be but not limited to the existing R-FCN algorithm, and the second target detection algorithm may also be but not limited to the YOLO V5 target detection algorithm. In addition, if no qualified and available facial image is currently captured (for example, due to too many facial occlusion factors or poor lens viewing angle, the facial image cannot be detected or the captured facial image lacks a lot of information and cannot be used for subsequent face recognition processing), it is also necessary to use existing multi-target tracking technology (for example, using DeepSort multi-target tracking algorithm) to dynamically track the hot work personnel, so as to continuously obtain the full-body image of the hot work personnel until a qualified and available facial image is captured.

[0063] S3. Import the facial image into a pre-trained facial recognition model based on a facial recognition algorithm to obtain a facial recognition result of the hot work worker.

[0064] In step S3, the face recognition algorithm is an existing algorithm, which is often used in scenes such as entrance gates or video surveillance to identify personnel, so the specific identity information (such as name or ID number, etc.) or facial feature information of the hot work personnel can be obtained based on the pre-trained face recognition model recognition as the face recognition result. In addition, the specific training process of the face recognition model is an existing technical means and will not be repeated here.

[0065] S4. Access a database according to the face recognition result, and search whether there is hot work qualification certificate information of the hot work personnel in the database.

[0066] In step S4, the database is used to bind and store the hot work qualification certificate information and face recognition result information of several personnel for access and search by other devices. The aforementioned face recognition result information is specifically exemplified by, but not limited to, personnel identity information (such as name or ID number, etc.) or facial feature information, etc. Therefore, the hot work qualification certificate information of the hot work personnel (such as certificate number, anti-counterfeiting QR code, personnel identity content such as name and ID number, face photo image, issuance date and validity period, etc.) can be obtained based on the conventional search of the face recognition result. In addition, in order to improve data confidentiality security and system stability, the database is preferably located in a server that adopts security and confidentiality measures such as firewall technology and level 3 security measures.

[0067] S5. If the hot work qualification certificate information of the hot work personnel is found in the database, the hot work qualification certificate information is automatically checked to see if it is qualified, and the hot work qualification review result of the hot work personnel is obtained.

[0068] In the step S5, specifically, the hot work qualification certificate information is automatically checked to see if it is qualified, and the hot work qualification review result of the hot work operator is obtained, including but not limited to any one of the following methods (A) to (D) or any combination thereof.

[0069] (A) Automatically review whether the hot work qualification certificate in the hot work qualification certificate information is authentic. If so, the hot work qualification review result of the hot work personnel is determined to be qualified; otherwise, the hot work qualification review result of the hot work personnel is determined to be unqualified. The specific details of the aforementioned automatic review may include, but are not limited to: conducting an online query based on the certificate number. If the certificate number can be found, the hot work qualification certificate is determined to be authentic; and / or, performing anti-counterfeiting identification based on the anti-counterfeiting QR code. If the identification result is not counterfeit, the hot work qualification certificate is determined to be authentic.

[0070] (B) Based on the personnel identity content in the hot work qualification certificate information, automatically check whether it is consistent with the identification content of the hot work personnel. If so, the hot work qualification review result of the hot work personnel is determined to be qualified, otherwise, the hot work qualification review result of the hot work personnel is determined to be unqualified. The aforementioned identification content is the specific identity information (such as name or ID number, etc.) in the face recognition result.

[0071] (C) Automatically check whether the facial photo image in the hot work qualification certificate information matches the captured facial image of the hot work personnel, and if so, determine that the hot work qualification review result of the hot work personnel is qualified, otherwise determine that the hot work qualification review result of the hot work personnel is unqualified. The aforementioned captured facial image is the facial image obtained in step S2.

[0072] (D) According to the issuance date and validity period in the hot work qualification certificate information, automatically check whether the expiration condition has been met. If so, the hot work qualification review result of the hot work personnel is determined to be unqualified; otherwise, the hot work qualification review result of the hot work personnel is determined to be qualified. The aforementioned expiration condition is specifically but not limited to the current date minus the issuance date, which is greater than the validity period.

[0073] After step S4, specifically, after accessing the database according to the face recognition result, the method further includes but is not limited to: if the hot work qualification certificate information of the hot work personnel is not found in the database, a hot work prohibition reminder message is pushed to the terminal device of the safety manager of the construction site, so as to remind the safety manager to prohibit the hot work personnel from performing hot work at the construction site. In addition, the aforementioned hot work prohibition reminder message can be, but is not limited to, displaying the hot work personnel's mark box in the video frame image in a red flashing form.

[0074] S6. Push the hot work qualification review result to the terminal device of the safety manager of the construction site to assist the safety manager in deciding whether to allow the hot work personnel to perform hot work at the construction site.

[0075] In step S6, the terminal device is specifically but not limited to an electronic device such as a smart phone or a tablet computer.

[0076] Therefore, based on the construction site hot work qualification review method described in the aforementioned steps S1 to S6, a new solution for automatic review of the construction site hot work qualification based on a face recognition algorithm is provided, that is, the facial image of the hot work worker is first captured from the video data obtained by the monitoring camera in real time at the construction site, and then the facial image is imported into a face recognition model pre-trained based on the face recognition algorithm to obtain a face recognition result, and then according to the face recognition result, it is searched whether there is the hot work qualification certificate information of the hot work worker in the database, and the hot work qualification certificate information is automatically reviewed when it is qualified, and finally the hot work qualification review result is pushed to the terminal device of the safety management personnel at the construction site, so that the hot work workers at the construction site can be quickly and accurately identified, and the hot work qualification certificates of the hot work workers can be automatically searched and reviewed, thereby reducing errors and negligence in manual operations, improving the safety, management efficiency and supervision accuracy of hot work operations at the construction site, saving manpower and material resources, improving the economic effect of the construction project, and facilitating practical application and promotion.

[0077] like Figure 3As shown, the second aspect of this embodiment provides a virtual device for implementing the construction site hot work qualification review method described in the first aspect, comprising a video data acquisition unit, a face image capture unit, a face recognition processing unit, a certificate information search unit, a hot work qualification review unit and a review result push unit that are sequentially connected in communication;

[0078] The video data acquisition unit is used to acquire video data collected by a monitoring camera on the construction site in real time, wherein the camera field of view of the monitoring camera covers the construction site;

[0079] The facial image capturing unit is used to capture the facial image of the hot work worker from the video data;

[0080] The face recognition processing unit is used to import the face image into a face recognition model pre-trained based on a face recognition algorithm to obtain a face recognition result of the hot work worker;

[0081] The certificate information search unit is used to access the database according to the face recognition result, and search whether there is the hot work qualification certificate information of the hot work personnel in the database;

[0082] The hot work qualification review unit is used to automatically review whether the hot work qualification certificate information of the hot work operator is qualified if the hot work qualification certificate information of the hot work operator is found in the database, and obtain the hot work qualification review result of the hot work operator;

[0083] The review result pushing unit is used to push the hot work qualification review result to the terminal device of the safety manager of the construction site, so as to assist the safety manager in deciding whether to allow the hot work personnel to perform hot work at the construction site.

[0084] The working process, working details and technical effects of the aforementioned device provided in the second aspect of this embodiment can be found in the construction site hot work qualification review method described in the first aspect, and will not be repeated here.

[0085] like Figure 4 As shown, the third aspect of this embodiment provides a physical system for implementing the construction site hot work qualification review method described in the first aspect, including a monitoring camera, a database, a processing device and a terminal device of a safety manager;

[0086] The monitoring camera is communicatively connected to the processing device, and is used to collect video data of the construction site in real time, and transmit the collected results to the processing device in real time;

[0087] The database is communicatively connected to the processing device and is used to bind and store the hot work qualification certificate information and face recognition result information of several personnel so as to be accessed and searched by the processing device;

[0088] The processing device is communicatively connected to the terminal device and is used to execute the construction site hot work qualification review method as described in the first aspect;

[0089] The terminal device is used to display the message from the processing device to assist the safety manager in deciding whether to allow hot work at the construction site.

[0090] The working process, working details and technical effects of the aforementioned system provided in the third aspect of this embodiment can be found in the construction site hot work qualification review method described in the first aspect, and will not be repeated here.

[0091] like Figure 5 As shown, the fourth aspect of this embodiment provides a computer device for executing the construction site hot work qualification review method as described in the first aspect, including a storage module, a processing module and a transceiver module that are sequentially connected in communication, wherein the storage module is used to store a computer program, the transceiver module is used to send and receive messages, and the processing module is used to read the computer program, and execute the construction site hot work qualification review method as described in the first aspect. Specifically, the storage module may include, but is not limited to, a random access memory (Random-Access Memory, RAM), a read-only memory (Read-Only Memory, ROM), a flash memory (Flash Memory), a first-in-first-out memory (First Input FirstOutput, FIFO) and / or a first-in-last-out memory (First Input Last Output, FILO), etc.; the processing module may include, but is not limited to, a microprocessor of the STM32F105 series. In addition, the computer device may also include, but is not limited to, a power module, a display screen and other necessary components.

[0092] The working process, working details and technical effects of the aforementioned computer equipment provided in the fourth aspect of this embodiment can be found in the construction site hot work qualification review method described in the first aspect, and will not be repeated here.

[0093] The fifth aspect of this embodiment provides a computer-readable storage medium storing instructions including the method for reviewing the qualifications for hot work at a construction site as described in the first aspect, that is, the computer-readable storage medium stores instructions, and when the instructions are run on a computer, the method for reviewing the qualifications for hot work at a construction site as described in the first aspect is executed. The computer-readable storage medium refers to a carrier for storing data, which may include but is not limited to computer-readable storage media such as floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or memory sticks, and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0094] The working process, working details and technical effects of the aforementioned computer-readable storage medium provided in the fifth aspect of this embodiment can be referred to the construction site hot work qualification review method described in the first aspect, and will not be repeated here.

[0095] A sixth aspect of this embodiment provides a computer program product, including a computer program or instructions, which, when executed by a computer, implements the construction site hot work qualification review method as described in the first aspect. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0096] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for reviewing the qualifications for hot work at a construction site, characterized in that: include: Acquire video data collected by a surveillance camera in real time at the construction site, wherein the field of view of the surveillance camera covers the construction site; Capturing a facial image of a person performing hot work from the video data; Importing the facial image of the human face into a face recognition model pre-trained based on a face recognition algorithm to obtain a face recognition result of the hot work worker; Accessing a database according to the face recognition result, and searching whether there is hot work qualification certificate information of the hot work personnel in the database; If the hot work qualification certificate information of the hot work personnel is found in the database, the hot work qualification certificate information is automatically checked to see if it is qualified, and the hot work qualification review result of the hot work personnel is obtained; The hot work qualification review result is pushed to the terminal device of the safety manager of the construction site to assist the safety manager in deciding whether to allow the hot work personnel to perform hot work at the construction site.

2. The construction site hot work qualification review method according to claim 1 is characterized in that: After accessing the database according to the face recognition result, the method further includes: If the hot work qualification certificate information of the hot work personnel is not found in the database, a hot work prohibition reminder message is pushed to the terminal device of the safety manager of the construction site to remind the safety manager to prohibit the hot work personnel from performing hot work at the construction site.

3. The construction site hot work qualification review method according to claim 1 is characterized in that: The facial image of the person performing the hot work is captured from the video data, including: Using a first deep learning algorithm or a first target detection algorithm to perform hot work personnel detection processing on the video data to obtain a hot work personnel detection result; If the hot work personnel detection result indicates that there is at least one hot work personnel, for each hot work personnel in the at least one hot work personnel, according to the corresponding marked box in the hot work personnel detection result, a corresponding full-body image of the person located in the box is captured from the video data; For each of the personnel involved in the hot work, a second deep learning algorithm or a second target detection algorithm is used to perform face detection processing on the corresponding full-body image of the personnel to obtain a corresponding face marking frame, and based on the face marking frame, a corresponding face image located within the frame is captured from the corresponding full-body image of the personnel.

4. The construction site hot work qualification review method according to claim 1 is characterized in that: Automatically check whether the hot work qualification certificate information is qualified, and obtain the hot work qualification review results of the hot work personnel, including: Automatically check whether the hot work qualification certificate in the hot work qualification certificate information is authentic. If so, determine that the hot work qualification review result of the hot work operator is qualified; otherwise, determine that the hot work qualification review result of the hot work operator is unqualified; And / or, based on the personnel identity content in the hot work qualification certificate information, automatically check whether it is consistent with the identification content of the hot work personnel, if so, determine that the hot work qualification review result of the hot work personnel is qualified, otherwise determine that the hot work qualification review result of the hot work personnel is unqualified; and / or, automatically checking whether the facial photo image in the hot work qualification certificate information matches the captured facial image of the hot work personnel, and if so, determining that the hot work qualification review result of the hot work personnel is qualified, otherwise determining that the hot work qualification review result of the hot work personnel is unqualified; And / or, based on the issuance date and validity period in the hot work qualification certificate information, automatically check whether the expiration condition has been met. If so, the hot work qualification review result of the hot work personnel is determined to be unqualified; otherwise, the hot work qualification review result of the hot work personnel is determined to be qualified.

5. The construction site hot work qualification review method according to claim 1 is characterized in that: The database is located in a server that uses firewall technology and level 3 security measures.

6. A construction site hot work qualification review device, characterized in that: It includes a video data acquisition unit, a face image capture unit, a face recognition processing unit, a certificate information search unit, a hot work qualification review unit and a review result push unit which are sequentially connected in communication; The video data acquisition unit is used to acquire video data collected by a monitoring camera on the construction site in real time, wherein the camera field of view of the monitoring camera covers the construction site; The facial image capturing unit is used to capture the facial image of the hot work worker from the video data; The face recognition processing unit is used to import the face image into a face recognition model pre-trained based on a face recognition algorithm to obtain a face recognition result of the hot work worker; The certificate information search unit is used to access the database according to the face recognition result, and search whether there is the hot work qualification certificate information of the hot work personnel in the database; The hot work qualification review unit is used to automatically review whether the hot work qualification certificate information of the hot work operator is qualified if the hot work qualification certificate information of the hot work operator is found in the database, and obtain the hot work qualification review result of the hot work operator; The review result pushing unit is used to push the hot work qualification review result to the terminal device of the safety manager of the construction site, so as to assist the safety manager in deciding whether to allow the hot work personnel to perform hot work at the construction site.

7. A construction site hot work qualification review system, characterized in that: Includes surveillance cameras, databases, processing equipment and terminal equipment for security managers; The monitoring camera is communicatively connected to the processing device and is used to collect video data of the construction site in real time and transmit the collected results to the processing device in real time; The database is communicatively connected to the processing device and is used to bind and store the hot work qualification certificate information and face recognition result information of several personnel so as to be accessed and searched by the processing device; The processing device is communicatively connected to the terminal device and is used to execute the construction site hot work qualification review method as described in any one of claims 1 to 5; The terminal device is used to display the message from the processing device to assist the safety manager in deciding whether to allow hot work at the construction site.

8. A computer device, characterized in that: It includes a storage module, a processing module and a transceiver module which are communicatively connected in sequence, wherein the storage module is used to store computer programs, the transceiver module is used to send and receive messages, and the processing module is used to read the computer program to execute the construction site hot work qualification review method as described in any one of claims 1 to 5.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, and when the instructions are executed on the computer, the construction site hot work qualification review method as described in any one of claims 1 to 5 is executed.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or the instruction is executed by a computer, the construction site hot work qualification review method as described in any one of claims 1 to 5 is implemented.

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