CN114333273A - Intelligent analysis system and method for nuclear power construction site - Google Patents
Intelligent analysis system and method for nuclear power construction site Download PDFInfo
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Abstract
The invention provides an intelligent analysis system and method for a nuclear power construction site, wherein the intelligent video analysis system for the nuclear power construction site comprises the following components: the system comprises a user database, an AI intelligent visual behavior analysis module, a video monitoring alarm system, a gun and ball camera module and a label recognizer; the tag recognizer is used for uniquely recognizing identity tag information of a monitoring target in a nuclear power construction site and transmitting information data obtained by recognition to the AI intelligent visual behavior analysis module; the gun-ball camera module is used for acquiring video picture information in a nuclear power construction site and transmitting a data stream to the video monitoring and alarming system; the video monitoring and alarming system is used for uploading the collected video stream data to the AI intelligent visual behavior analysis module; the AI intelligent visual behavior analysis module is used for processing and analyzing the received video stream data, judging whether a monitored target meets the standard requirement of site safety construction or not and sending an alarm signal through the video monitoring alarm system.
Description
Technical Field
The invention relates to the technical field of safety control and intelligent operation of nuclear power construction, in particular to an intelligent analysis system and method for a nuclear power construction site.
Background
Construction safety has long plagued the normal and safe operation of traditional construction sites. In the current situation of safety management of the traditional construction site, the frequent safety leak danger condition causes thinking about safety construction in the whole society, the operation personnel of the construction site are complicated, and the manpower management and control cost is high; people, objects and vehicles are dense, and the field environment presents complexity which is difficult to predict; project progress is difficult to master, and rectification execution measures are not implemented in place; the building materials are easy to be stolen or damaged, etc. The unable effectual management and control of traditional building site construction safety risk just because lack the intelligent supervisory equipment of intellectuality and systematization, integration, just led to in the building site each side safety such as people, machine, thing, material, law all can not effectively ensured.
The safety management of the construction site is the premise of ensuring the smooth construction of the construction site, the safety management is enhanced, the accident occurrence is reduced, the illegal operation and the non-civilized construction supervision are avoided, and the engineering quality is improved on the construction site, and the intelligent construction site management concept is an important subject faced by each construction unit and government departments. Wisdom building site fuses high-tech technologies such as artificial intelligence, video monitoring and location technique, through implanting in building, machinery, personnel dress facility, the all kinds of objects of place business turn over gateway, realizes the interconnection of building site scene thing, adopts advanced artificial intelligence technological means, realizes reducing the operation risk to the greatest extent, safe construction.
Wisdom building site video monitor system is applied to the technique such as thing networking, data acquisition and remote data transmission and is administered in the investigation of job site potential safety hazard. By carrying out all-dimensional covering on a nuclear power construction site, visual blind areas are effectively reduced, and uninterrupted monitoring and visual management are realized. The construction site construction engineering progress is convenient to master in real time, potential safety hazard discovering capability of a construction site is enhanced, accident occurrence probability is reduced, and life and property safety of construction operators is guaranteed.
In view of the above, the present invention is particularly proposed.
Disclosure of Invention
The invention discloses an intelligent analysis system and method for a nuclear power construction site, which are used for safety control of the nuclear power construction site, and the intelligent analysis system and method overcome the defects of the prior art, the prior management means, the prior construction process specification loopholes and other problems, can monitor the running state of each device in a nuclear power construction site area in real time, compare and analyze human, object and environment images acquired through video monitoring with a reference image, and automatically send out safety early warning prompts and monitor and record when abnormal conditions occur, so that the potential safety hazards of personnel and devices can be early warned in advance.
Specifically, the invention is realized by the following technical scheme:
in a first aspect, the invention discloses an intelligent video analysis system for a nuclear power construction site, comprising: the system comprises a user database, an AI intelligent visual behavior analysis module, a video monitoring alarm system, a gun and ball camera module and a label recognizer;
the tag recognizer is used for uniquely recognizing identity tag information of a monitoring target in a nuclear power construction site and transmitting information data obtained by recognition to the AI intelligent visual behavior analysis module;
the gun-ball camera module is used for acquiring video picture information in a nuclear power construction site and transmitting a data stream to the video monitoring and alarming system;
the video monitoring and alarming system is used for uploading the collected video stream data to the AI intelligent visual behavior analysis module;
the AI intelligent visual behavior analysis module is used for processing and analyzing the received video stream data, judging whether a monitored target meets the standard requirement of site safety construction or not and sending an alarm signal through the video monitoring alarm system.
In a further embodiment, the AI intelligent visual behavior analysis module includes a target behavior monitoring algorithm, and identifies and judges whether a monitored target meets standard requirements for site safety construction through the target behavior monitoring algorithm.
In a further embodiment, the AI intelligent visual behavior analysis module may transmit the abnormal information data to the video monitoring alarm system, and the video monitoring alarm system sends an alarm signal after receiving the abnormal information data.
In further embodiments, the AI intelligent visual behavior analysis module includes a face recognition system, an object recognition system, and a plurality of different behavior monitoring and recognition systems.
In a further embodiment, the AI intelligent visual behavior analysis module includes an AI algorithm chip, and the AI algorithm chip has a plurality of AI algorithms embedded therein, and the AI algorithms include a face recognition algorithm, an image recognition algorithm, and a plurality of different target behavior monitoring algorithms.
In a further embodiment, the rifle ball camera module includes rifle bolt and multichannel ball machine of the same kind, and rifle bolt can instruct multichannel ball machine to carry out 1: n gun balls are linked.
In a further embodiment, the AI algorithm chip is mounted in an edge computing box that is connected to the gun camera.
The invention also provides an intelligent video analysis method which is carried out by adopting the intelligent video analysis system for the nuclear power construction site, and the method comprises the following steps:
step 1) adding a unique identity identification tag to people, objects and equipment to be monitored in a nuclear power construction site;
step 2) monitoring the target of the operation site in real time through gun-ball linkage, receiving the label information of the target through a label recognizer, and transmitting the obtained monitoring video to an AI intelligent visual behavior analysis module through an edge calculation box;
step 3) judging whether the monitored target violates the behavior standard of a construction site by an AI intelligent visual behavior analysis module arranged in the edge calculation box, and transmitting the monitoring information acquired by gun-ball linkage to an algorithm server;
step 4) when abnormal information occurs, the video monitoring alarm system sends an alarm signal, the monitoring command center indicates an operator and further makes manual judgment, the operator can backtrack and check the video recording of the abnormal node, the judgment is really problematic, and the system can automatically manage a construction site by clicking an alarm button;
and 5) after the safety early warning behavior is solved and processed, the AI intelligent visual behavior analysis module is linked with the gun ball camera to monitor the target and the surrounding environment, and after no abnormal condition occurs, the alarm can be released.
The intelligent analysis system and the intelligent analysis method for the nuclear power construction site are internally provided with an AI algorithm chip server such as an image recognition algorithm, a face recognition algorithm, a target behavior monitoring algorithm and the like, wherein the AI algorithm chip is deployed in an edge box, and the edge calculation box is connected with a gun-ball camera to carry out on-site video shooting and intelligent analysis application. After the video data are analyzed and compared through an AI algorithm arranged in the edge calculation box, the detection result is transmitted to background nuclear power construction management software, and a background nuclear power construction management software system comprises a user data system, an alarm system and a report system so as to achieve the effects of safety control, intelligent operation and intelligent management of a nuclear power construction site.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic structural diagram of an intelligent video analysis system for a nuclear power construction site according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
Fig. 1 is a schematic structural diagram of an intelligent video analysis system for a nuclear power construction site according to an embodiment of the present invention, and referring to fig. 1, the intelligent video analysis system includes: the system comprises a user database, an AI intelligent visual behavior analysis module, a video monitoring alarm system, a gun and ball camera module and a label recognizer;
the tag recognizer is used for uniquely recognizing identity tag information of a monitoring target in a nuclear power construction site and transmitting information data obtained by recognition to the AI intelligent visual behavior analysis module;
the gun-ball camera module is used for acquiring video picture information in a nuclear power construction site and transmitting a data stream to the video monitoring and alarming system;
the video monitoring and alarming system is used for uploading the collected video stream data to the AI intelligent visual behavior analysis module;
the AI intelligent visual behavior analysis module is used for processing and analyzing the received video stream data, judging whether a monitored target meets the standard requirement of site safety construction or not and sending an alarm signal through the video monitoring alarm system.
The intelligent video analysis system is mainly applied to construction supervision in a nuclear power plant, and can monitor the running state of each device in a nuclear power construction field area in real time in an intelligent video monitoring mode through the gun-ball camera module and the label recognizer.
People, objects and the environment are analyzed through the AI intelligent visual behavior analysis module, images acquired through video monitoring are compared with reference images for analysis, when abnormal conditions occur, the system automatically sends out safety early warning prompts, monitors and records, and early warning of potential safety hazards of personnel and equipment is achieved.
Target behaviors are monitored through the intelligent visual behavior analysis system, video intelligent analysis and management design are carried out, so that intelligent management of building site nuclear power construction operation is achieved, events are pre-judged in advance, timely alarm reminding is carried out, fast-out response is carried out on abnormity of people or objects in an operation area, and event videos can be backtracked, checked and analyzed. The AI intelligent visual behavior analysis module is mainly used for processing and analyzing received video stream data, identifying and judging whether a monitored target meets the standard requirement of on-site safety construction or not through a target behavior monitoring algorithm deployed in the AI intelligent visual behavior analysis module, transmitting abnormal information data to a video monitoring alarm system, and sending an alarm signal after receiving the abnormal information data by the video monitoring alarm system.
Specifically, the AI intelligent visual behavior analysis module comprises a face recognition system, an object recognition system and a monitoring and recognition system for various different behaviors. In terms of hardware, the AI intelligent visual behavior analysis module comprises an AI algorithm chip which is arranged in the edge computing box, wherein the AI algorithm chip comprises a plurality of AI algorithms which respectively comprise a face recognition algorithm, an image recognition algorithm and a plurality of different target behavior monitoring algorithms.
The human face recognition algorithm and the image recognition algorithm are mainly used for recognizing and monitoring operators and equipment, and various different target behavior monitoring algorithms are mainly used for analyzing and judging various different behaviors of the operators or running equipment, so that whether the operation behavior of the operators meets nuclear power field safety regulations or not can be confirmed through analyzing and judging the different behaviors, and whether the state of the operation of the operators or the running equipment meets the standard requirements of field safety construction or not can be judged.
When nuclear power construction safety management is carried out, monitoring state information of an operation site is collected through gun and ball linkage, a monitoring target video data stream is analyzed through an AI algorithm of multi-channel intelligent visual behavior analysis built in an edge computing box, when abnormal conditions occur in the construction site, alarming can be carried out, identity tag information used for uniquely identifying a monitoring target in the nuclear power construction site is collected through a tag identifier, the monitoring target is not limited to specific operators or operation equipment, and the monitoring target with the identity tag is within the monitoring range of the tag identifier.
The tag recognizer transmits the data information to an algorithm server for AI intelligent visual behavior analysis to judge whether the monitored target works normally or not; therefore, the alarm can be given out at the first time when an emergency happens, and the quick response of workers is facilitated, such as the intrusion of an unknown target and the like; and the video can be stored through the edge calculation box, so that the label tracing of the abnormal behavior of the monitored target is realized.
In the process of the face recognition algorithm, the reference image refers to face picture data of an operator which is recorded in a database in advance, and the data correspond to the identity of the operator on site one by one and are a reference image data set. After capturing the face image of the monitored target, the on-site camera compares the face image with the face image data of all the operators which are recorded in the database in advance, and when the monitored image is found to be consistent with the corresponding image in the database or reaches a unique identification set threshold value, the identity information of the monitored target can be determined. The behavior recognition algorithm comprises behaviors such as incorrect wearing, smoking behavior and the like without a safety helmet, a certain number of behavior images are randomly acquired on site in a nuclear power site as a comparison reference image data set for behavior recognition, after algorithm expansion data sets and image data processing and comparison, when the similarity between a monitoring target image captured by a camera and any image in the reference image data set is not within a set threshold range, an illegal operation behavior is recognized, and the system automatically pushes safety early warning information.
The method is based on a deep learning algorithm and object tracking identification, combines an artificial intelligence AI chip to detect targets in a nuclear power construction site in real time, intelligently analyzes real-time video streams for monitoring the targets such as people, objects and vehicles, utilizes a computer image visual analysis technology, further analyzes and tracks the targets appearing in a camera scene by separating the background and the targets in the scene, and utilizes the deep learning algorithm to intelligently identify and analyze behaviors of the monitored targets, thereby judging whether abnormal conditions of target operation occur.
In particular practice, intelligent analysis can be performed according to the content of the monitoring video, different alarm rules are preset in different algorithm scenes, once a monitored target breaks away from predefined rules in the scenes, the system can automatically send out an alarm, so that the video monitoring is intelligent, the effect of intelligent video analysis on operation in a nuclear power construction site is fully exerted, and therefore a sufficiently reliable guarantee is provided for a nuclear power construction operation site needing high abstinence, and the situation is prevented in the bud.
The face recognition algorithm is mainly used for verifying identity information of personnel in a nuclear power site, a camera captures a face image of a monitored target, the face image is compared with face image data of all operating personnel input into a database in advance, and the identity information of the monitored target can be determined after a monitored image and a corresponding consistent image in the database are found or a unique recognition set threshold value is reached. In addition, the face recognition algorithm can be applied to entrance guard, the identity information of the personnel can be quickly verified, and the passing efficiency is improved. The image recognition algorithm is mainly applied to intelligently recognize whether illegal operations exist on field operators and vehicles, safety early warning pushing is carried out on targets with risks, and related illegal behaviors are timely reminded and stopped. The algorithm comprises a plurality of behavior monitoring algorithms such as behavior monitoring without a safety helmet, incorrect wearing, smoking behavior and the like, when behavior monitoring without the safety helmet is carried out, a monitoring camera collects a section of video stream data of a target on site, then the video stream data is cut into a plurality of pieces of picture data through algorithm frame number slicing, the monitoring data with the target and some training pictures of personnel with the safety helmet are compared and analyzed based on deep learning of a neural network, and when the monitoring target does not wear the safety helmet, namely a set threshold value is not reached, the system timely pushes the safety early warning information.
The AI algorithm chip in the embodiment is deployed in an edge box, and the edge computing box is connected with a rifle ball camera module to carry out on-site video shooting and intelligent analysis application.
Specifically, rifle ball camera module includes rifle bolt and multichannel ball machine all the way, and rifle bolt can command multichannel ball machine all the way and carry out 1: the N gun balls are linked, so that the target in the detection area can be accurately positioned in a long distance and with high precision, and real-time automatic tracking is carried out.
In the implementation process, the gun and ball camera module is used for remote monitoring, and when a monitored target violates a preset threshold value of a target behavior detection algorithm, the system can automatically push safety alarm early warning information in real time to remind the target to make safety adjustment in time.
The invention also provides an intelligent video analysis method adopting the intelligent video analysis system, which comprises the following steps:
step 1) adding unique identification tags to the appearance and wearing equipment of people, objects and other equipment to be monitored on a nuclear power construction site;
step 2) monitoring the target of the operation site in real time through gun-ball linkage, receiving the label information of the target through a label recognizer, and transmitting the obtained monitoring video to an AI intelligent visual behavior analysis module through an edge calculation box;
step 3) judging whether the monitored target violates the behavior standard of a construction site by an AI intelligent behavior recognition algorithm arranged in the edge computing box, and transmitting the monitoring information acquired by gun-ball linkage to an algorithm server for analyzing the condition of the operation environment;
step 4) when abnormal information occurs, the video monitoring alarm system sends an alarm signal, the monitoring command center indicates an operator and further makes manual judgment, the operator can backtrack and check the video recording of the abnormal node, the judgment is really problematic, and the system can automatically manage a construction site by clicking an alarm button;
and 5) after the safety early warning behavior is solved and processed, confirming that the alarm can be released after the AI algorithm is linked with the gun ball camera to monitor the target and the surrounding environment and no abnormal condition occurs within a certain time range.
By the intelligent video analysis method, uninterrupted continuous real-time monitoring in the whole process of nuclear power construction site operation can be realized, part of daily and manual complex monitoring work is replaced, the daily management work intensity is simplified, and managers have more time and energy to deal with emergency situations. When illegal operation or potential safety hazard occurs, the intelligent video analysis function can automatically recognize and trigger video alarm prompt.
The intelligent analysis system and method for the nuclear power construction site have the following technical effects:
1. compared with manual monitoring, the safety control work in the nuclear power construction site operation process can be further enhanced, and the condition of manual monitoring omission can be effectively avoided;
2. the nuclear power field monitoring time is longer, and compared with the field on-duty personnel, video monitoring of a duty room and the like, uninterrupted monitoring analysis in the whole operation process can be realized;
3. the nuclear power site monitoring capability is stronger, compared with the identification of artificial naked eyes, the intelligent video analysis capability is more advantageous in a complex environment, and the monitoring accuracy is higher;
4. the monitoring strategy is more flexible, various monitoring strategies can be configured, various abnormal scenes can be found in time, the timeliness is greatly enhanced, and the detection efficiency is greatly improved;
5. the front end is provided with a real-time monitoring management platform, so that the efficiency of management and control work is improved, abnormal conditions of an operation site can be found in time, intervention and inhibition are performed, and the frequency of safety accidents is reduced;
6. the product is beneficial to forming an emergency mechanism with unified command and dispatch, complete functions and high operation efficiency, and the capability of guaranteeing public safety and handling emergencies is improved;
7. the intelligent analysis camera can identify different objects like people, discover abnormal conditions in the monitoring picture, and can quickly send out an alarm, so that real-time early warning and alarming of real-time monitored video information are realized, and the real-time early warning and alarming functions are not only taken as post-event record statistics.
Finally, it should be noted that: while this specification contains many specific implementation details, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features specific to particular embodiments of particular inventions. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. In other instances, features described in connection with one embodiment may be implemented as discrete components or in any suitable subcombination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.
Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
Thus, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. Further, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some implementations, multitasking and parallel processing may be advantageous.
The above description is only exemplary of the present disclosure and should not be taken as limiting the disclosure, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (8)
1. The utility model provides an intelligent video analysis system for nuclear power job site, is applied to the safety control of nuclear power job site, its characterized in that includes: the system comprises a user database, an AI intelligent visual behavior analysis module, a video monitoring alarm system, a gun and ball camera module and a label recognizer;
the tag recognizer is used for uniquely recognizing identity tag information of a monitoring target in a nuclear power construction site and transmitting information data obtained by recognition to the AI intelligent visual behavior analysis module;
the gun-ball camera module is used for acquiring video picture information in a nuclear power construction site and transmitting a data stream to the video monitoring and alarming system;
the video monitoring and alarming system is used for uploading the collected video stream data to the AI intelligent visual behavior analysis module;
the AI intelligent visual behavior analysis module is used for processing and analyzing the received video stream data, judging whether a monitored target meets the standard requirement of site safety construction or not and sending an alarm signal through the video monitoring alarm system.
2. The intelligent video analysis system of claim 1, wherein the AI intelligent visual behavior analysis module comprises a target behavior monitoring algorithm, and the target behavior monitoring algorithm identifies and determines whether a monitored target meets standard requirements for site safety construction.
3. The intelligent video analysis system of claim 2, wherein the AI intelligent visual behavior analysis module is capable of transmitting abnormal information data to the video surveillance alarm system, and the video surveillance alarm system sends an alarm signal after receiving the abnormal information data.
4. The intelligent video analysis system of claim 1, wherein the AI intelligent visual behavior analysis module comprises a face recognition system, an object recognition system, and a monitoring recognition system for a plurality of different behaviors.
5. The intelligent video analysis system of claim 4, wherein the AI intelligent visual behavior analysis module comprises an AI algorithm chip having a plurality of AI algorithms embedded therein, the AI algorithms comprising a face recognition algorithm, an image recognition algorithm, and a plurality of different target behavior monitoring algorithms.
6. The intelligent video analysis system of claim 5, wherein the rifle ball camera module comprises one rifle bolt and a multi-way ball machine, wherein the one rifle bolt can direct the multi-way ball machine to perform 1: n gun balls are linked.
7. The intelligent video analysis system of claim 5, wherein the AI algorithm chip is mounted in an edge computing box, the edge computing box being connected to the gun camera.
8. An intelligent video analysis method implemented by adopting the intelligent video analysis system for a nuclear power construction site as claimed in any one of claims 1 to 7, which is characterized by comprising the following steps:
step 1) adding a unique identity identification tag to people, objects and equipment to be monitored in a nuclear power construction site;
step 2) monitoring the target of the operation site in real time through gun-ball linkage, receiving the label information of the target through a label recognizer, and transmitting the obtained monitoring video to an AI intelligent visual behavior analysis module through an edge calculation box;
step 3) judging whether the monitored target violates the behavior standard of a construction site by an AI intelligent visual behavior analysis module arranged in the edge calculation box, and transmitting the monitoring information acquired by gun-ball linkage to an algorithm server;
step 4) when abnormal information occurs, the video monitoring alarm system sends an alarm signal, the monitoring command center indicates an operator and further makes manual judgment, the operator can backtrack and check the video recording of the abnormal node, the judgment is really problematic, and the system can automatically manage a construction site by clicking an alarm button;
and 5) after the safety early warning behavior is solved and processed, the AI intelligent visual behavior analysis module is linked with the gun ball camera to monitor the target and the surrounding environment, and after no abnormal condition occurs, the alarm can be released.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115424408A (en) * | 2022-09-05 | 2022-12-02 | 广东电网有限责任公司 | Site operation safety control early warning device |
| CN115866392A (en) * | 2022-11-25 | 2023-03-28 | 深圳市智百威科技发展有限公司 | AI object visual identification system and method |
| CN116958903A (en) * | 2023-08-01 | 2023-10-27 | 浙江迈新科技股份有限公司 | Intelligent factory safety supervision method under multi-linkage safety control mechanism |
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2021
- 2021-12-21 CN CN202111569662.7A patent/CN114333273A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115424408A (en) * | 2022-09-05 | 2022-12-02 | 广东电网有限责任公司 | Site operation safety control early warning device |
| CN115866392A (en) * | 2022-11-25 | 2023-03-28 | 深圳市智百威科技发展有限公司 | AI object visual identification system and method |
| CN116958903A (en) * | 2023-08-01 | 2023-10-27 | 浙江迈新科技股份有限公司 | Intelligent factory safety supervision method under multi-linkage safety control mechanism |
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