Side station operation supervision method and device, electronic equipment and readable storage medium

Abstract

The invention discloses a side station operation supervision method and device, electronic equipment and a readable storage medium, and the method comprises the steps: determining an operation task identifier matched with a target safety helmet based on at least one of the positioning information of the target safety helmet and a two-dimensional code of target operation equipment; acquiring real-time video data of a current operation process acquired by an image acquisition device arranged on the target safety helmet; analyzing and processing the real-time video data according to an operation step corresponding to the operation task identifier so as to judge whether the operation process meets a preset operation requirement or not; and when it is determined that the operation process meets a preset operation requirement, collecting and storing video data of a preset duration. According to the invention, the operation process is monitored, and video recording and storage are carried out on the operation process, so that operation personnel can be supervised and urged to standardize operation and reduce accidents, a convenient data query service is provided, and the operation cost of an enterprise is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of operation supervision, and relates to a method, device, electronic equipment and readable storage medium for on-site operation supervision. Background Art

[0002] Safety accidents related to construction hoisting equipment frequently occur in the field of construction, and usually bring very serious consequences and losses. Analysis of the causes of accidents shows that overloading, improper installation and disassembly, and inadequate maintenance during the operation of tower cranes are the main causes of accidents. Among them, on-site supervision is a necessary part of the government supervision requirements during the operation of construction hoisting equipment. It is mainly carried out through human supervision by personnel, video equipment, etc., so as to supervise whether the equipment has any illegal operation during the on-site operation and provide safety protection for equipment operation.

[0003] However, relying solely on manual on-site supervision is not only inefficient and wastes human resources, but also makes it impossible to keep effective records of the conditions at the work site, making it difficult to assign responsibility for accidents after they occur at the work site.

[0004] Therefore, it is necessary to provide an improved technical solution to overcome the above technical problems existing in the prior art. Summary of the invention

[0005] The purpose of the present invention is to provide a method, device, electronic device and readable storage medium for on-site operation supervision. By monitoring the operation process and recording and storing the operation process through video, it can not only urge the operators to standardize the operation and reduce the occurrence of accidents, but also provide convenient data query services to reduce the operating costs of the enterprise.

[0006] To achieve the above objectives: In a first aspect, the present invention provides a method for supervising on-site operations, comprising: Determine a work task identifier that matches the target safety helmet based on the positioning information of the target safety helmet and at least one of the two-dimensional code of the target work equipment; Acquiring real-time video data of the current operation process collected by an image acquisition device disposed on the target safety helmet; Analyzing and processing the real-time video data according to the operation steps corresponding to the operation task identifier to determine whether the operation process meets the preset operation requirements; When it is determined that the operation process meets the preset operation requirements, video data of a preset duration is collected and stored.

[0007] In one embodiment, determining the work task identifier that matches the target safety helmet includes: Obtain the positioning information of the target safety helmet; Matching the positioning information with location information of different items to determine a target item that matches the positioning information; Based on the correspondence between different projects and work task identifiers, the work task identifier corresponding to the target project is determined as the work task identifier that matches the target safety helmet.

[0008] In one embodiment, it further comprises: When the work task identifier that matches the target safety helmet cannot be determined, an alarm message is output.

[0009] In one embodiment, determining the work task identifier that matches the target safety helmet includes: Scanning the QR code of the target operating equipment through the image acquisition device on the target safety helmet to obtain the equipment identification of the target operating equipment; Based on the correspondence between the equipment identification and the work task identification of different work equipment, the work task identification that matches the target safety helmet is determined.

[0010] In one embodiment, the analyzing and processing the real-time video data according to the operation steps corresponding to the operation task identifier to determine whether the operation process meets the preset operation requirements includes: Performing image recognition on the real-time video data through artificial intelligence to obtain a feature data set in the real-time video data for characterizing the operation behavior of the operator, and comparing and matching the feature data set with a standard feature data set corresponding to each operation step in a database; If the matching degree between the feature data set and the standard feature data set is not less than a preset matching degree threshold, it is determined that the operation process meets the preset operation requirements.

[0011] In one embodiment, after acquiring the real-time video data of the current operation process collected by the image acquisition device disposed on the target safety helmet, the method further includes: The operation steps corresponding to the operation task identifier are obtained, and the operation steps are announced by voice.

[0012] In one embodiment, after determining whether the operation process meets the preset operation requirements, the method further includes: When it is determined that the real-time video data does not meet the preset operation requirements, a voice reminder is given and the operation steps are re-broadcasted by voice.

[0013] In a second aspect, the present invention provides a monitoring device for on-site operation, comprising: A task identification matching module, used to determine the work task identification that matches the target safety helmet based on the positioning information of the target safety helmet and at least one of the two-dimensional code of the target working equipment; A video acquisition module, used to acquire real-time video data of the current operation process acquired by an image acquisition device disposed on the target safety helmet; A video analysis and processing module, used to analyze and process the real-time video data according to the operation steps corresponding to the operation task identifier, so as to determine whether the operation process meets the preset operation requirements; The video uploading module is used to collect and store video data of a preset duration when it is determined that the operation process meets the preset operation requirements.

[0014] In one implementation, the task identifier matching module specifically includes: Obtain the positioning information of the target safety helmet; Matching the positioning information with location information of different items to determine a target item that matches the positioning information; Based on the correspondence between different projects and work task identifiers, the work task identifier corresponding to the target project is determined as the work task identifier that matches the target safety helmet.

[0015] In one implementation, the task identifier matching module specifically includes: Scanning the QR code of the target operating equipment through the image acquisition device on the target safety helmet to obtain the equipment identification of the target operating equipment; Based on the correspondence between the equipment identification and the work task identification of different work equipment, the work task identification that matches the target safety helmet is determined.

[0016] In one implementation, the video analysis processing module specifically includes: Performing image recognition on the real-time video data through artificial intelligence to obtain a feature data set in the real-time video data for characterizing the operation behavior of the operator, and comparing and matching the feature data set with a standard feature data set corresponding to each operation step in a database; If the matching degree between the feature data set and the standard feature data set is not less than a preset matching degree threshold, it is determined that the operation process meets the preset operation requirements.

[0017] In a third aspect, the present invention provides an electronic device, characterized in that it comprises: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method described in the first aspect.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores computer execution instructions, and when the computer execution instructions are executed by a processor, they are used to implement the method described in the first aspect.

[0019] The present invention provides a method, device, electronic device and readable storage medium for on-site operation supervision, including: determining the operation task identification that matches the target safety helmet based on at least one of the positioning information of the target safety helmet and the QR code of the target operation equipment; acquiring real-time video data of the current operation process collected by the image acquisition device set on the target safety helmet; analyzing and processing the real-time video data according to the operation steps corresponding to the operation task identification to determine whether the operation process meets the preset operation requirements; when it is determined that the operation process meets the preset operation requirements, collecting and storing video data of a preset duration. The present invention monitors the operation process and records and stores the video of the operation process, which can not only urge the operators to standardize the operation and reduce the occurrence of accidents, but also provides convenient data query services to reduce the operating costs of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 A schematic diagram of a flow chart of a method for monitoring on-site operations provided by an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a monitoring device for on-site operation provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of systems and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0023] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present invention may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0024] It should be understood that, although the terms first, second, third, etc. may be used to describe various information in this article, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this article, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein can be interpreted as "at the time of..." or "when..." or "in response to determination". Furthermore, as used in this article, the singular forms "one", "one" and "the" are intended to also include plural forms, unless there is an opposite indication in the context. It should be further understood that the terms "comprising", "including" indicate that there are described features, steps, operations, elements, components, projects, kinds, and / or groups, but do not exclude the existence, occurrence or addition of one or more other features, steps, operations, elements, components, projects, kinds, and / or groups. The terms "or" and "and / or" used herein are interpreted as inclusive, or mean any one or any combination. Thus, “A, B or C” or “A, B and / or C” means “any of the following: A; B; C; A and B; A and C; B and C; A, B and C”. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some manner.

[0025] It should be understood that, although the various steps in the flowchart in the embodiment of the present invention are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and they can be executed in other orders. Moreover, at least a portion of the steps in the figure may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0026] It should be noted that, in this article, step codes such as S101, S102, etc. are used for the purpose of expressing the corresponding content more clearly and concisely, and do not constitute a substantial limitation on the sequence. When implementing the step codes, those skilled in the art may execute S102 first and then S101, etc., but these should all be within the scope of protection of the present invention.

[0027] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0028] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present invention, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0029] like Figure 1 As shown, an embodiment of the present invention provides a method for supervising on-site operations, including: Step S101, based on the positioning information of the target safety helmet and at least one of the two-dimensional code of the target working equipment, determine the working task identifier that matches the target safety helmet.

[0030] It can be understood that when the on-site personnel receive the work task, they need to go to the designated work area and match the corresponding task identifier through the positioning information of the target safety helmet they are wearing or the QR code on the scanned target work equipment; if the acquired task identifier is consistent with the task identifier received by the on-site personnel in advance, the shooting content of the target safety helmet is automatically matched and associated with the current task. The target work equipment can be any work equipment on the project. It should be noted that the executor of the on-site work supervision method provided in this embodiment can be a safety helmet with positioning, image acquisition and other capabilities, or it can be a server and other equipment.

[0031] Among them, on-site supervisors are supervisors who supervise and inspect the construction quality of key parts or key processes of the engineering entity at the construction site. They are responsible for inspecting and supervising the operating equipment and the operating operations of the operating personnel, and reporting abnormal operating conditions in a timely manner, such as damage to the operating equipment, improper operation of the operating personnel, etc.

[0032] In one embodiment, determining the work task identifier that matches the target safety helmet includes: Acquire the positioning information of the target safety helmet; match the positioning information with the location information of different projects to determine the target project that matches the positioning information; based on the correspondence between different projects and the work task identifiers, determine the work task identifier corresponding to the target project as the work task identifier that matches the target safety helmet.

[0033] The positioning information includes latitude and longitude, geographical location name, city and street number. The precise positioning information of the target safety helmet can be obtained through at least one of satellite positioning, Wi-Fi hotspot signal and access base station information.

[0034] In one embodiment, it further comprises: When the work task identification matching the target safety helmet cannot be determined, an alarm message is output.

[0035] It can be understood that by obtaining the positioning information of the target safety helmet, the project address corresponding to each task identifier is matched, and the matching task identifier can be obtained. At the same time, if the positioning information is wrong or cannot be matched with any project address, it is judged that the on-site personnel have not arrived at the designated work area normally, and an alarm is issued to remind the on-site personnel to arrive at the work area as soon as possible.

[0036] Among them, the alarm information includes at least one of telephone, text message, emergency broadcast and buzzer alarm, which is used to warn the on-site supervisor wearing the target safety helmet that he has not arrived at the project site within the specified time and the on-site supervision work is abnormal.

[0037] In one embodiment, determining the work task identifier that matches the target safety helmet also includes: The QR code of the target working equipment is scanned by the image acquisition device on the target safety helmet to obtain the equipment identification of the target working equipment; based on the correspondence between the equipment identification and the working task identification of different working equipment, the working task identification matching the target safety helmet is determined.

[0038] It can be understood that the target safety helmet provided by the present invention can be installed with an image acquisition device such as a camera, and the corresponding equipment identification can be obtained by scanning the QR code on the working equipment, and then the corresponding work task identification can be obtained through the equipment identification; wherein, the correspondence between all equipment identifications and work task identifications is stored in the cloud, and updated in real time according to the update of the issued work tasks.

[0039] Among them, the QR code of the operating equipment may include the technical parameters of the operating equipment, main components, dangerous factors and emergency response, operating tasks and operating steps, so that on-site personnel can check various information of the operating equipment by scanning the QR code of the operating equipment during patrol and supervision, so as to facilitate verification against the information, which not only improves work efficiency, but also ensures the personal safety of on-site personnel and the safety of operating equipment.

[0040] Step S102, acquiring real-time video data of the current operation process collected by an image acquisition device disposed on the target safety helmet.

[0041] It can be understood that the image acquisition device installed on the target safety helmet can collect the working pictures of the operators in real time. The management personnel can monitor the working conditions of the operators through the remote terminal and quickly find the cause of the accident through the uploaded real-time video data when an operating accident occurs.

[0042] Step S103: analyzing and processing the real-time video data according to the operation steps corresponding to the operation task identifier to determine whether the operation process meets the preset operation requirements.

[0043] It can be understood that the operation steps corresponding to the work task identification can be obtained through the target safety helmet, and the real-time video data taken can be analyzed simultaneously to determine whether the operating behavior of the operator in the real-time video data meets the standard operating specifications.

[0044] The operation steps corresponding to each task identification are stored in the cloud in advance, including video clips of human movements and key points corresponding to each operation step, which can be retrieved in real time for viewing and modification.

[0045] In one embodiment, the real-time video data is analyzed and processed according to the operation steps corresponding to the operation task identifier to determine whether the operation process meets the preset operation requirements, including: Through artificial intelligence, image recognition is performed on real-time video data to obtain a feature data set in the real-time video data that is used to characterize the operating behavior of the operator, and the feature data set is compared and matched with the standard feature data set corresponding to each operating step in the database; if the matching degree between the feature data set and the standard feature data set is not less than the preset matching degree threshold, it is determined that the operating process meets the preset operating requirements.

[0046] It can be understood that the present invention can capture the human body movements of the operators through the camera carried by the target safety helmet, and then extract the operating behavior of the operators from the captured human body movements, and compare the extracted operating behavior with the standard operating behavior in the database, so as to realize the analysis and identification of the operating behavior of the operators. Among them, the operators do not need to wear any equipment, and only need to capture and detect the operating behavior through the camera vision to realize the identification of the human body movement type. At the same time, through the preset algorithm, the judgment and identification of the operating behavior of the operators can be realized.

[0047] In one embodiment, after obtaining the real-time video data of the current operation process of the target safety helmet collected by the image acquisition device, it also includes: Get the operation steps corresponding to the job task ID and announce the operation steps by voice.

[0048] Among them, at least one of the target safety helmet and the target working equipment is equipped with a voice broadcast device such as a speaker, and when the operating steps corresponding to the working task are obtained, the specific content of the operating steps can be played.

[0049] It can be understood that the present invention can play the content of the operation steps through the voice broadcast device installed on the target safety helmet or the target operation equipment, thereby prompting the operator to perform the operation according to the established operation steps, reducing the probability of human error.

[0050] In one embodiment, after determining whether the operation process meets the preset operation requirements, the method further includes: When it is determined that the real-time video data does not meet the preset operation requirements, a voice reminder is given and the operation steps are repeated through voice broadcast.

[0051] It can be understood that when the target safety helmet obtains the operating steps of the working process, it prompts the operator of the current step through voice; when it is detected that the operator's operation is not standardized, it will give a voice reminder and re-broadcast the content of the wrong step, effectively reducing the occurrence of work accidents and reducing work risks.

[0052] Step S104: When it is determined that the operation process meets the preset operation requirements, video data of a preset duration is collected and stored.

[0053] Furthermore, the video data recorded during the operation process is associated with each key step under the corresponding task, so that each key step corresponds to at least one video clip or one picture, which helps enterprises to more conveniently query the specific circumstances of each operation step and improve work efficiency.

[0054] Preferably, the preset first duration is 30 seconds.

[0055] Through the above method, the operation process is monitored, and it is judged in real time whether the current operation steps comply with the operation specifications. The operation process is recorded and stored. This not only urges the operators to standardize the operation and reduce the occurrence of accidents, but also provides convenient data query services to reduce the company's operating costs.

[0056] Based on the same inventive concept as the above embodiments, the present invention provides a monitoring device for on-site operation. Figure 2 , is a monitoring device for on-site operation provided by an embodiment of the present invention, and the monitoring device for on-site operation can be implemented in software and / or hardware. The device includes: The task identification matching module 21 is used to determine the work task identification that matches the target safety helmet based on the positioning information of the target safety helmet and at least one of the two-dimensional code of the target working equipment.

[0057] The video monitoring module 22 is used to obtain real-time video data of the current operation process of the target safety helmet collected by the image acquisition device.

[0058] The video analysis and processing module 23 is used to analyze and process the real-time video data according to the operation steps corresponding to the operation task identifier to determine whether the operation process meets the preset operation requirements.

[0059] The video uploading module 24 is used to collect and store video data of a preset first duration when it is determined that the operation process meets the preset operation requirements.

[0060] In one implementation, the task identifier matching module 21 specifically includes: Acquire the positioning information of the target safety helmet; match the positioning information with the location information of different projects to determine the target project that matches the positioning information; based on the correspondence between different projects and the work task identifiers, determine the work task identifier corresponding to the target project as the work task identifier that matches the target safety helmet.

[0061] In one implementation, the task identifier matching module 21 specifically includes: The QR code of the target working equipment is scanned by the image acquisition device on the target safety helmet to obtain the equipment identification of the target working equipment; based on the correspondence between the equipment identification and the working task identification of different working equipment, the working task identification matching the target safety helmet is determined.

[0062] In one implementation, the video analysis processing module 23 specifically includes: Through artificial intelligence, image recognition is performed on real-time video data to obtain a feature data set in the real-time video data that is used to characterize the operating behavior of the operator, and the feature data set is compared and matched with the standard feature data set corresponding to each operating step in the database; if the matching degree between the feature data set and the standard feature data set is not less than the preset matching degree threshold, it is determined that the operating process meets the preset operating requirements.

[0063] Based on the same inventive concept as the above embodiments, an embodiment of the present invention provides an electronic device, such as Figure 3 As shown, the device includes: a processor 301 and a memory 302 storing a computer program; wherein, Figure 3 The processor 301 shown in the figure is not used to indicate that the number of the processor 301 is one, but is only used to indicate the positional relationship of the processor 301 relative to other devices. In actual applications, the number of the processor 301 may be one or more; similarly, Figure 3 The memory 302 shown in the figure has the same meaning, that is, it is only used to refer to the position relationship of the memory 302 relative to other devices. In practical applications, the number of memories 302 can be one or more. When the processor 301 runs the computer program, the above-mentioned on-site operation supervision method is implemented.

[0064] The device may also include: at least one network interface 303. The various components in the device are coupled together via a bus system 304. It is understood that the bus system 304 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 304 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, Figure 3 Various buses are labeled as bus system 304 .

[0065] The memory 302 may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), and direct RAMbus random access memory (DRRAM, Direct Rambus Random Access Memory).The memory 302 described in the embodiments of the present invention is intended to include, but is not limited to, these and any other suitable types of memories.

[0066] Based on the same inventive concept as the above-mentioned embodiment, this embodiment further provides a computer-readable storage medium, in which a computer program is stored. The computer-readable storage medium may be a ferromagnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); it may also be various devices including one or any combination of the above memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc. When the computer program stored in the computer-readable storage medium is executed by the processor, the above method is implemented. For the specific steps implemented when the computer program is executed by the processor, please refer to Figure 1 The description of the illustrated embodiment will not be repeated here.

[0067] In the present invention, the same or similar terminology concepts, technical solutions and / or application scenario descriptions are generally described in detail only the first time they appear. When they appear again later, they are generally not repeated for the sake of brevity. When understanding the technical solution and other contents of the present invention, for the same or similar terminology concepts, technical solutions and / or application scenario descriptions that are not described in detail later, reference can be made to the previous related detailed descriptions.

[0068] In the present invention, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0069] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0070] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for supervising on-site operations, characterized in that: The method comprises: Determine a work task identifier that matches the target safety helmet based on the positioning information of the target safety helmet and at least one of the two-dimensional code of the target work equipment; Acquiring real-time video data of the current operation process collected by an image acquisition device disposed on the target safety helmet; Analyzing and processing the real-time video data according to the operation steps corresponding to the operation task identifier to determine whether the operation process meets the preset operation requirements; When it is determined that the operation process meets the preset operation requirements, video data of a preset duration is collected and stored.

2. The method according to claim 1, characterized in that The step of determining the work task identifier that matches the target safety helmet includes: Obtain the positioning information of the target safety helmet; Matching the positioning information with location information of different items to determine a target item that matches the positioning information; Based on the correspondence between different projects and work task identifiers, the work task identifier corresponding to the target project is determined as the work task identifier that matches the target safety helmet.

3. The method according to claim 2, characterized in that Also includes: When the work task identifier that matches the target safety helmet cannot be determined, an alarm message is output.

4. The method according to claim 1, characterized in that: The step of determining the work task identifier that matches the target safety helmet further includes: Scanning the QR code of the target operating equipment through the image acquisition device on the target safety helmet to obtain the equipment identification of the target operating equipment; Based on the correspondence between the equipment identification and the work task identification of different work equipment, the work task identification that matches the target safety helmet is determined.

5. The method according to claim 1, characterized in that The analyzing and processing the real-time video data according to the operation steps corresponding to the operation task identifier to determine whether the operation process meets the preset operation requirements includes: Performing image recognition on the real-time video data through artificial intelligence to obtain a feature data set in the real-time video data for characterizing the operation behavior of the operator, and comparing and matching the feature data set with a standard feature data set corresponding to each operation step in a database; If the matching degree between the feature data set and the standard feature data set is not less than a preset matching degree threshold, it is determined that the operation process meets the preset operation requirements.

6. The method according to claim 1, characterized in that After acquiring the real-time video data of the current operation process collected by the image acquisition device disposed on the target safety helmet, the method further includes: The operation steps corresponding to the operation task identifier are obtained, and the operation steps are announced by voice.

7. The method according to claim 6, characterized in that After determining whether the operation process meets the preset operation requirements, the method further includes: When it is determined that the real-time video data does not meet the preset operation requirements, a voice reminder is given and the operation steps are re-broadcasted by voice.

8. A monitoring device for on-site operation, characterized in that: The device comprises: A task identification matching module, used to determine the work task identification that matches the target safety helmet based on the positioning information of the target safety helmet and at least one of the two-dimensional code of the target working equipment; A video acquisition module, used to acquire real-time video data of the current operation process acquired by an image acquisition device disposed on the target safety helmet; A video analysis and processing module, used to analyze and process the real-time video data according to the operation steps corresponding to the operation task identifier, so as to determine whether the operation process meets the preset operation requirements; The video uploading module is used to collect and store video data of a preset duration when it is determined that the operation process meets the preset operation requirements.

9. An electronic device, characterized in that: include: A processor and a memory for storing executable instructions; wherein the processor is configured to execute the instructions to implement the on-site operation supervision method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: When the instructions in the computer-readable storage medium are executed by a processor, the on-site operation supervision method as described in any one of claims 1 to 7 is implemented.

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