CN112735011A - Identification system and method for oil and gas station - Google Patents

Identification system and method for oil and gas station Download PDF

Info

Publication number
CN112735011A
CN112735011A CN201910978804.1A CN201910978804A CN112735011A CN 112735011 A CN112735011 A CN 112735011A CN 201910978804 A CN201910978804 A CN 201910978804A CN 112735011 A CN112735011 A CN 112735011A
Authority
CN
China
Prior art keywords
intelligent
image data
camera
terminal
real
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910978804.1A
Other languages
Chinese (zh)
Inventor
陈少东
郭祖仪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan Digital Business Enterprise Intelligent Technology Co ltd
Original Assignee
Sichuan Digital Business Enterprise Intelligent Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sichuan Digital Business Enterprise Intelligent Technology Co ltd filed Critical Sichuan Digital Business Enterprise Intelligent Technology Co ltd
Priority to CN201910978804.1A priority Critical patent/CN112735011A/en
Publication of CN112735011A publication Critical patent/CN112735011A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/56Extraction of image or video features relating to colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/10Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Data Mining & Analysis (AREA)
  • Tourism & Hospitality (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Artificial Intelligence (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • General Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Emergency Management (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses an identification system and a method for an oil and gas station, belonging to an active security system, wherein the system comprises an intelligent guarding terminal and a camera access control device, wherein the access control device and the camera are both connected into the intelligent guarding terminal, the camera collects current human face image data and transmits the current human face image data to the intelligent guarding terminal, the intelligent guarding terminal judges whether the current human face image data is legal or not, the system collects image data of the face, the dressing and a monitoring scene of a person through the camera, and the intelligent guarding terminal analyzes and judges a real-time image, so that the legality of the opening of the access control device and the operation of the person in a well station is realized, the firework, the remnants and the movement of the objects in the monitoring scene can be monitored, illegal invaders can be rapidly driven away, and the safety of the field station guarding and the timeliness of the driving away are effectively improved.

Description

Identification system and method for oil and gas station
Technical Field
The invention relates to an active security system for a closed area, in particular to an identification system and method for an oil and gas station.
Background
In the oil and gas industry, natural gas or oil well stations are manually attended due to the need for production safety. In practice, manual attendance mainly has the following problems. On the one hand, the cost is high, and it is impossible to ensure that people are on duty 24 hours a day, and on the other hand, when people are on duty, negligence and carelessness occur inevitably. And due to the particularity of the production environment, the personal safety of personnel cannot be guaranteed when safety problems occur. Aiming at the problems, most oil and gas well stations are provided with monitoring cameras at present, but the monitoring cameras can only carry out image acquisition and still need to be checked in a monitoring room manually, and the problem of the attendance of the oil and gas well stations is not solved. And limited by the quantity of simultaneously monitored pictures and human resources, the common problems that parts of labor insurance products are not worn and used according to regulations can be found, and full-time intelligent identification and automatic early warning cannot be realized aiming at more site hazards and production risks. Even if the abnormal conditions are found through remote monitoring, the abnormal conditions cannot be effectively processed in time when the abnormal conditions are found, and the 'vacuum period and blank period' exist when the abnormal conditions are found, so that the security control of the unattended well station has a leak. There is therefore a need for further research and improvement in monitoring and attendant systems for oil and gas well stations.
Disclosure of Invention
One of the objectives of the present invention is to provide an identification system and method for an oil and gas station, so as to solve the technical problems that the cost of oil and gas stations is high depending on manual values, careless mistakes are easy to occur, personal safety cannot be guaranteed, and an illegal intruder cannot be timely driven away.
In order to solve the technical problems, the invention adopts the following technical scheme:
the invention provides an identification system for an oil and gas station, which comprises an intelligent defense terminal, a camera and an access control device, wherein the access control device and the camera are both accessed into the intelligent defense terminal, and the identification system comprises: the camera is used for collecting current face image data and transmitting the current face image data to the intelligent on-duty terminal. The intelligent gate keeper terminal is used for judging whether the current face image data is legal or not, and if so, outputting an opening instruction to the access control device. The entrance guard device is used for opening the entrance guard after receiving the opening instruction of the intelligent energy gate-keeper terminal. The camera is also used for collecting real-time image data in the current scene and transmitting the real-time image data to the intelligent on-duty terminal. The intelligent watch terminal is further used for judging whether the dressing image data of the current personnel are in compliance or not after the entrance guard device is opened based on the real-time image in the current scene, if the judgment result is negative, an alarm is output, and otherwise, the compliance is defaulted. The intelligent watch terminal is further used for carrying out real-time smoke and fire detection based on a real-time image in the current scene, if the detection result is yes, an alarm is output, and otherwise, safety is defaulted.
Preferably, the further technical scheme is as follows: the camera comprises a doorway camera, a skid-mounted area camera and a wellhead area camera. The doorway camera is used for collecting face image data. The skid-mounted area camera and the wellhead area camera are both used for collecting real-time image data in the current scene from different angles.
Preferably, the further technical scheme is as follows: the intelligent energy conservation terminal is used for counting the number of people in the oil and gas station based on real-time image data in the current scene.
The further technical scheme is as follows: the intelligent watch terminal judges whether the person wears the helmet according to the image data in a mode of red, yellow and white, and the tool is any one of red, blue and green.
The further technical scheme is as follows: the output alarm of the intelligent watch terminal is to upload the current violation event to an alarm center in the monitoring system, wherein the violation event comprises the name of camera equipment, the type of the event, the detection area and the time.
In another aspect, the present invention provides an identification method for an oil and gas station, the method comprising the steps of:
and step A, the camera collects the current face image data and transmits the data to the intelligent on-duty terminal. And judging whether the current face image data is legal or not by the intelligent on-duty terminal, if so, outputting an opening instruction to the access control device, and opening the access control device.
And step B, the camera continuously collects real-time image data in the current scene and transmits the real-time image data to the intelligent watching terminal.
And C, the intelligent on-duty terminal judges whether the dressing image data of the current personnel is in compliance after the entrance guard device is opened based on the real-time image in the current scene, if the judgment result is negative, an alarm is output, otherwise, the compliance is acquiescent.
And D, continuously carrying out real-time smoke and fire detection on the basis of the real-time image in the current scene by the intelligent on-duty terminal, if the detection result is yes, outputting an alarm, and otherwise, defaulting to safety.
Preferably, the further technical scheme is as follows: in the step B, the mode that the intelligent on-duty terminal judges whether the person wears the helmet according to the image data is that the helmet is any one of red, yellow and white, and the tool is any one of red, blue and green.
The further technical scheme is as follows: the method further comprises the step E of closing the access control device, judging whether the scene has the remnants or not and whether the inherent objects in the scene move or not by the intelligent on-duty terminal based on the real-time images in the current scene collected by the camera, outputting an alarm if the judgment result is yes, and defaulting to be in compliance if the judgment result is not.
Compared with the prior art, the invention has the following beneficial effects: the system collects image data of faces, dresses and monitoring scenes of personnel through the camera, and the intelligent watching terminal analyzes and judges real-time images, so that the legality of opening of the access control device and operation of the personnel in the well station is realized, smoke, remnants and object movement in the monitoring scene can be monitored, and the safety of operation of the oil and gas station is ensured.
Drawings
FIG. 1 is a schematic block diagram of a system architecture for illustrating one embodiment of the present invention.
Fig. 2 is a system/method flow diagram illustrating one embodiment of the invention.
Detailed Description
The invention is further elucidated with reference to the drawing.
Referring to fig. 1, one embodiment of the present invention is an identification system for an oil and gas station, the system being used in an oil and gas station and being mainly used for implementing the following functions:
the face recognition of the personnel opens the entrance guard, and the purpose of the face recognition is to identify the legality of the operator.
The dressing detection of personnel, its purpose guarantees the compliance of operation personnel dress to guarantee the personal safety of operation in the well station.
And monitoring and detecting the state in the scene, such as facilities of moving articles, leaving objects of operators, smoke and fire, and the like, so as to reduce or eliminate potential safety hazards caused by the problems in the oil and gas station.
In order to realize the above functions, in this embodiment, the system includes an intelligent on-duty terminal, a camera and an access control device, where the access control device and the camera are both accessed to the intelligent on-duty terminal, and the intelligent on-duty terminal is used as a control core in the system, and analyzes and judges images collected by the camera through a preset image comparison and analysis strategy, so as to obtain parameters and features required for realizing the above functions, and specifically:
the camera is used for collecting current face image data and transmitting the current face image data to the intelligent on-duty terminal.
The intelligent gate keeper terminal is used for judging whether the current face image data is legal or not, and if so, outputting an opening instruction to the access control device.
The entrance guard device is used for opening the entrance guard after receiving the opening instruction of the intelligent energy gate-keeper terminal.
Thereby, the face recognition of the person is realized to judge the legality.
In addition, as mentioned above, in order to realize other analysis and judgment based on images, the system is based on the same principle, so that the camera is also used for acquiring real-time image data in the current scene and transmitting the real-time image data to the intelligent watching terminal. Correspondingly, the intelligent on-duty terminal is also used for judging whether the dressing image data of the current personnel is in compliance after the entrance guard device is opened based on the real-time image in the current scene, if the judgment result is negative, an alarm is output, otherwise, the compliance is acquiescent. Meanwhile, the intelligent on-duty terminal is also used for carrying out real-time smoke and fire detection based on a real-time image in the current scene, if the detection result is yes, an alarm is output, and otherwise, the intelligent on-duty terminal is safe in default.
Preferably, the intelligent guarding terminal is used for counting the number of people in the oil and gas station based on real-time image data in the current scene, so that the system can record the number of people entering the system through the access control device in unit time for later-period future reference. The strategy adopted in the system is that the intelligent watching terminal collects real-time images in the current scene from the cameras at a plurality of different positions, the number of people appearing in the images is counted, and the same people in the images at different angles are filtered out through an algorithm, so that the condition of missing counting in single-angle image collection is avoided.
In this embodiment, the face recognition, the dressing detection, and the smoke and fire detection can be implemented by performing comparison and judgment on preset image features of each behavior or article through a corresponding image software algorithm, which is specifically as follows:
the face recognition is to perform face feature modeling for a face which is input into the system in advance at an intelligent on-duty terminal of the system, and then store a face feature value in a database. And when the human face target is identified on site, extracting the human face features on site and comparing the human face features with a feature library on the background, and if the comparison is successful, determining that the human face is a legal human face. Meanwhile, because the characteristics of the human face on site are related to the angle, and the characteristics of the human face, such as the pupil distance and the like, can be shielded by the personnel wearing safety helmets and glasses on site, the accuracy of the human face recognition can be influenced by the factors.
The basic principle of dressing detection is color judgment, an algorithm integrated in an intelligent on-duty terminal firstly identifies a humanoid target in an image data scene, then head position judgment is carried out to determine the position of a safety helmet, and then safety helmet color judgment and frock clothes color judgment are carried out, specifically, whether the colors of the safety helmet and the frock clothes are consistent with preset colors or not is judged.
The firework detection method is characterized in that the inherent characteristics of fireworks, such as features of swaying, textures, no movement of fire sources and the like, are utilized, the intelligent on-duty terminal compares the features with firework features preset in an algorithm library according to the features, and if certain similarity is achieved, the target is firework.
In this embodiment, the system passes through the camera and gathers personnel's face, dress and the image data of control scene, carries out analysis and judgement to real-time image by intelligent on duty terminal to realize that entrance guard's device opens and personnel's legality of operation in the well station, also can monitor firework in the control scene, legacy, article remove, and system's framework is simple, utilizes ordinary cloud platform camera can realize, is suitable for popularization and application in similar oil gas well station scene.
According to another embodiment of the invention, the invention aims to make the system more easily used in the scenes of the oil and gas field station, and in such scenes, cameras are usually and separately installed aiming at different positions. In particular, a door camera is used for collecting face image data. The skid-mounted area camera and the wellhead area camera are both used for acquiring real-time image data in the current scene from different angles.
As mentioned above, the basic principle of the intelligent on-duty terminal performing the wear detection according to the current image data is color judgment, and therefore, in the system, the wear is designed to be any one of red, yellow and white for the safety helmet, and any one of red, blue and green for the tool.
As shown in fig. 1, in another embodiment of the present invention, a monitoring system is added in the system, the monitoring system is generally located in a control room of an oil and gas station, the monitoring system is provided with an alarm center, and the intelligent gatekeeper terminal is connected to the alarm center, so that the output of the intelligent gatekeeper terminal alarms to upload a current violation event to the alarm center in the monitoring system, where the violation event includes a camera device name, an event type, a detection area, and time, for example:
whether the dresses of the personnel entering the working area meet the regulations or not is detected, and detection items comprise safety helmets (red, yellow and white) and tools (whole red, whole green or whole blue). And when the dressing behavior which does not accord with the regulation is detected, reporting the violation event to an alarm center. The event information includes: device name, event type, detection area, time, etc.
And detecting articles in the required detection area (such as articles in a fire-fighting equipment placing area), and automatically alarming if the articles are moved or are absent. The event information includes: device name, event type, detection area, time, etc.
As described in the above embodiments, the system is an intelligent active driving system developed by using an artificial intelligence technology deep learning algorithm and an active driving technology in combination with an existing production video monitoring system, and acquires video images through an original skid-mounted area camera of a well station, a well mouth area camera and a face recognition camera outside a newly added well station gate, and is connected in parallel with a well station access control system.
The intelligent active security system effectively improves the comprehensive intelligent analysis efficiency of images in an unattended management mode, accurately analyzes the violation behaviors such as labor protection wearing standardization, open smoke and naked flame, foreign matter leaving, external invasion and the like and potential safety hazards, and replaces manual identification with automatic identification and alarming, so that the labor repetitive work is effectively reduced, and the image monitoring efficiency and the accuracy are greatly improved. The method is applied to the pilot point of the production line and pushed to safety management personnel and a combined regulation and control center through a background client, a new safety control technical means is provided for the rapid and efficient development of oil and gas resources, and safety guarantee and technical support are provided for the implementation of an unattended management mode of the 'three-high' gas reservoir.
Referring to fig. 2, another embodiment of the present invention is a method for identifying an oil and gas station, the method comprising the steps of:
and step S1, the camera collects the current face image data and transmits the data to the intelligent watching terminal. And judging whether the current face image data is legal or not by the intelligent on-duty terminal, if so, outputting an opening instruction to the access control device, and opening the access control device.
And S2, the camera continuously collects the real-time image data in the current scene and transmits the real-time image data to the intelligent watching terminal.
And step S3, the intelligent on-duty terminal judges whether the dressing image data of the current personnel is in compliance after the entrance guard device is opened based on the real-time image in the current scene, if the judgment result is negative, an alarm is output, otherwise, the compliance is defaulted.
In this step, the manner of judging the dressing of the person by the intelligent on-duty terminal according to the image data is that the safety helmet is any one of red, yellow and white, and the tool is any one of red, green and blue. The operation rule of the system is consistent with the management system and requirements of the oil and gas station.
And step S4, the intelligent watching terminal continues to perform real-time smoke and fire detection based on the real-time image in the current scene, if the detection result is yes, an alarm is output, otherwise, safety is defaulted.
And S5, closing the access control device, judging whether a left object exists in the scene and whether the inherent object in the scene moves or not by the intelligent on-duty terminal based on the real-time image in the current scene collected by the camera, if so, outputting an alarm, otherwise, defaulting to the compliance.
In addition to the foregoing, it should be noted that reference throughout this specification to "one embodiment," "another embodiment," "an embodiment," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment described generally throughout this application. The appearances of the same phrase in various places in the specification are not necessarily all referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with any embodiment, it is submitted that it is within the scope of the invention to effect such feature, structure, or characteristic in connection with other embodiments.
Although the invention has been described herein with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More specifically, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, other uses will also be apparent to those skilled in the art.

Claims (8)

1. The utility model provides an identification system for oil gas station, its characterized in that the system includes intelligent value guard terminal, camera and entrance guard's device, entrance guard's device all inserts with the camera intelligent value guard terminal, wherein:
the camera is used for collecting the current face image data and transmitting the current face image data to the intelligent on-duty terminal;
the intelligent gate keeper terminal is used for judging whether the current human face image data is legal or not, and if so, outputting an opening instruction to the access control device;
the access control device is used for opening the access control after receiving an opening instruction of the intelligent energy gate-on terminal;
the camera is also used for acquiring real-time image data in the current scene and transmitting the real-time image data to the intelligent on-duty terminal;
the intelligent gatekeeper terminal is also used for judging whether the dressing image data of the current personnel is in compliance or not after the entrance guard device is opened based on the real-time image in the current scene, if the judgment result is negative, an alarm is output, otherwise, the compliance is defaulted;
the intelligent watch terminal is further used for carrying out real-time smoke and fire detection based on a real-time image in the current scene, if the detection result is yes, an alarm is output, and otherwise, safety is defaulted.
2. An identification system for an oil and gas station according to claim 1, characterized in that: the camera comprises a doorway camera, a skid-mounted area camera and a wellhead area camera; the doorway camera is used for acquiring face image data; the skid-mounted area camera and the wellhead area camera are both used for collecting real-time image data in the current scene from different angles.
3. An identification system for an oil and gas station according to claim 1, characterized in that: the intelligent energy conservation terminal is used for counting the number of people in the oil and gas station based on real-time image data in the current scene.
4. An identification system for an oil and gas station according to claim 1, characterized in that: the intelligent watch terminal judges whether the person wears the helmet according to the image data in a mode of red, yellow and white, and the tool is any one of red, blue and green.
5. An identification system for an oil and gas station according to claim 1, characterized in that: the output alarm of the intelligent watch terminal is to upload the current violation event to an alarm center in the monitoring system, wherein the violation event comprises the name of camera equipment, the type of the event, the detection area and the time.
6. An identification method for an oil and gas station, characterized in that it comprises the following steps:
a, a camera collects current face image data and transmits the data to an intelligent on-duty terminal; judging whether the current face image data is legal or not by the intelligent on-duty terminal, if so, outputting an opening instruction to the access control device, and opening the access control device;
b, continuously acquiring real-time image data in the current scene by the camera, and transmitting the real-time image data to the intelligent on-duty terminal;
c, the intelligent on-duty terminal judges whether the dressing image data of the current personnel is in compliance after the entrance guard device is opened based on the real-time image in the current scene, if the judgment result is negative, an alarm is output, otherwise, the compliance is defaulted;
and D, continuously carrying out real-time smoke and fire detection on the basis of the real-time image in the current scene by the intelligent on-duty terminal, if the detection result is yes, outputting an alarm, and otherwise, defaulting to safety.
7. The identification method for an oil and gas station according to claim 6, characterized in that: in the step C, the mode that the intelligent on-duty terminal judges whether the person wears the helmet according to the image data is that the helmet is any one of red, yellow and white, and the tool is red or blue.
8. An identification method for an oil and gas station according to claim 6 or 7, characterized in that: the method further comprises the step E of closing the access control device, judging whether the scene has the remnants or not and whether the inherent objects in the scene move or not by the intelligent on-duty terminal based on the real-time images in the current scene collected by the camera, outputting an alarm if the judgment result is yes, and defaulting to be in compliance if the judgment result is not.
CN201910978804.1A 2019-10-15 2019-10-15 Identification system and method for oil and gas station Pending CN112735011A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910978804.1A CN112735011A (en) 2019-10-15 2019-10-15 Identification system and method for oil and gas station

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910978804.1A CN112735011A (en) 2019-10-15 2019-10-15 Identification system and method for oil and gas station

Publications (1)

Publication Number Publication Date
CN112735011A true CN112735011A (en) 2021-04-30

Family

ID=75588875

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910978804.1A Pending CN112735011A (en) 2019-10-15 2019-10-15 Identification system and method for oil and gas station

Country Status (1)

Country Link
CN (1) CN112735011A (en)

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020708A (en) * 2012-11-30 2013-04-03 唐榕珠 System for counting and inquiring number of classroom persons
CN104851155A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104933819A (en) * 2015-06-17 2015-09-23 福建永易信息科技有限公司 Alarm device based on face recognition and sign recognition and alarm method
CN105979203A (en) * 2016-04-29 2016-09-28 中国石油大学(北京) Multi-camera cooperative monitoring method and device
CN106707939A (en) * 2017-02-17 2017-05-24 南京杰迈视讯科技有限公司 Power substation overhaul site intelligent control device
CN107393073A (en) * 2017-07-20 2017-11-24 克立司帝控制系统(上海)有限公司 Gate inhibition's monitoring control system and method based on image recognition technology
CN108052900A (en) * 2017-12-12 2018-05-18 成都睿码科技有限责任公司 A kind of method by monitor video automatic decision dressing specification
CN108206935A (en) * 2016-12-16 2018-06-26 北京迪科达科技有限公司 A kind of personnel amount statistical monitoring analysis system
CN109146322A (en) * 2018-09-12 2019-01-04 深圳市商汤科技有限公司 Monitoring method and device and system, electronic equipment and storage medium
US20190034679A1 (en) * 2015-12-21 2019-01-31 Robert Bosch Gmbh Transportable Passage Control Device for a Work Area
CN109359805A (en) * 2018-08-28 2019-02-19 安徽继远软件有限公司 A kind of substation's electric operation personnel safety management-control method
CN109448291A (en) * 2018-11-22 2019-03-08 广东点讯智能科技有限公司 A kind of behavior video monitoring system applied to construction site
CN109544754A (en) * 2018-11-27 2019-03-29 湖南视觉伟业智能科技有限公司 A kind of guard method and system based on recognition of face, computer equipment
CN110070055A (en) * 2019-04-25 2019-07-30 南京邮电大学 A kind of capital construction scene safety detecting system and method based on deep learning
CN110120143A (en) * 2018-02-07 2019-08-13 中国石油化工股份有限公司 A kind of inflammable and explosive region smog intelligent monitor system of Petrochemical Enterprises

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020708A (en) * 2012-11-30 2013-04-03 唐榕珠 System for counting and inquiring number of classroom persons
CN104851155A (en) * 2014-11-22 2015-08-19 重庆市行安电子科技有限公司 Safety identification monitoring system
CN104933819A (en) * 2015-06-17 2015-09-23 福建永易信息科技有限公司 Alarm device based on face recognition and sign recognition and alarm method
US20190034679A1 (en) * 2015-12-21 2019-01-31 Robert Bosch Gmbh Transportable Passage Control Device for a Work Area
CN105979203A (en) * 2016-04-29 2016-09-28 中国石油大学(北京) Multi-camera cooperative monitoring method and device
CN108206935A (en) * 2016-12-16 2018-06-26 北京迪科达科技有限公司 A kind of personnel amount statistical monitoring analysis system
CN106707939A (en) * 2017-02-17 2017-05-24 南京杰迈视讯科技有限公司 Power substation overhaul site intelligent control device
CN107393073A (en) * 2017-07-20 2017-11-24 克立司帝控制系统(上海)有限公司 Gate inhibition's monitoring control system and method based on image recognition technology
CN108052900A (en) * 2017-12-12 2018-05-18 成都睿码科技有限责任公司 A kind of method by monitor video automatic decision dressing specification
CN110120143A (en) * 2018-02-07 2019-08-13 中国石油化工股份有限公司 A kind of inflammable and explosive region smog intelligent monitor system of Petrochemical Enterprises
CN109359805A (en) * 2018-08-28 2019-02-19 安徽继远软件有限公司 A kind of substation's electric operation personnel safety management-control method
CN109146322A (en) * 2018-09-12 2019-01-04 深圳市商汤科技有限公司 Monitoring method and device and system, electronic equipment and storage medium
CN109448291A (en) * 2018-11-22 2019-03-08 广东点讯智能科技有限公司 A kind of behavior video monitoring system applied to construction site
CN109544754A (en) * 2018-11-27 2019-03-29 湖南视觉伟业智能科技有限公司 A kind of guard method and system based on recognition of face, computer equipment
CN110070055A (en) * 2019-04-25 2019-07-30 南京邮电大学 A kind of capital construction scene safety detecting system and method based on deep learning

Similar Documents

Publication Publication Date Title
CN112785798B (en) Behavior analysis method for constructors of power substation engineering construction project
CN112183317B (en) Live working field violation behavior detection method based on space-time diagram convolutional neural network
CN112001284A (en) Labor service real-name system management system based on artificial intelligence
CN107133564B (en) Tooling cap detection method
CN104318732A (en) Transformer substation field worker monitoring and management system and method based on video analysis and RFID
CN103108159A (en) Electric power intelligent video analyzing and monitoring system and method
CN103116959A (en) Analyzing and recognizing method for abnormal behaviors in intelligent videos
CN111126193A (en) Artificial intelligence recognition system based on deep learning coal mine underground unsafe behavior
CN111277748A (en) Construction site fire management system based on video intelligent analysis and implementation method thereof
CN110867046A (en) Intelligent car washer video monitoring and early warning system based on cloud computing
CN113469654B (en) Multi-level safety control system of transformer substation based on intelligent algorithm fuses
CN113012374A (en) Intelligent park security system and control method thereof
CN112112629A (en) Safety business management system and method in drilling operation process
CN112541439A (en) Intelligent video monitoring method and system for power plant
CN112532920A (en) Construction site system intelligent monitoring implementation method and system
CN112613449A (en) Safety helmet wearing detection and identification method and system based on video face image
CN109345787A (en) A kind of anti-outer damage monitoring and alarming system of the transmission line of electricity based on intelligent image identification technology
CN113206978A (en) Security intelligent monitoring early warning system and method for oil and gas pipeline station
CN114333273A (en) Intelligent analysis system and method for nuclear power construction site
CN115660297A (en) Automatic AI early warning system and method for construction site safety
CN112381435A (en) Gridding directional pushing management method for dynamic risk in hydropower station operation process
CN115567690A (en) Intelligent monitoring system capable of automatically identifying dangerous points of field operation
CN114067244A (en) Safety operation violation behavior video analysis method and system
CN107331007A (en) A kind of wagon flow logistics supervisory systems and method based on video acquisition
CN112735011A (en) Identification system and method for oil and gas station

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210430