CN112004062A - Method for realizing gas station safety standard based on computer image recognition technology - Google Patents
Method for realizing gas station safety standard based on computer image recognition technology Download PDFInfo
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- CN112004062A CN112004062A CN202010916262.8A CN202010916262A CN112004062A CN 112004062 A CN112004062 A CN 112004062A CN 202010916262 A CN202010916262 A CN 202010916262A CN 112004062 A CN112004062 A CN 112004062A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/643—Communication protocols
- H04N21/6437—Real-time Transport Protocol [RTP]
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Abstract
The invention discloses a method for realizing gas station safety standard based on computer image recognition technology, which comprises the following steps: s1: collecting camera information of an original security system; s2: adding the camera information in the S1 to a streaming media server in a client software or configuration file mode, wherein the streaming media server accesses the camera through a related protocol; s3: adding an algorithm analysis server and connecting with a streaming media server; the algorithm analysis server acquires a camera video stream through the integrated streaming media server and analyzes a video frame according to the camera video stream; s4: the algorithm analysis server identifies the video frames according to an artificial intelligence identification algorithm to obtain a result meeting the identification requirement; s5: the algorithm analysis server informs the result meeting the identification requirement to the service platform through a message queue or TCP connection or WEBAPI, and then the service platform informs field workers or managers according to the service rules; s6: and field workers or managers can correct and stop the operation in time.
Description
Technical Field
The invention relates to the field of computer vision, in particular to a method for realizing the safety standard of a gas station based on a computer image recognition technology.
Background
According to the security requirement, the gas station is at the beginning of the establishment, installs the camera in each region, if: the areas such as the cash register area, the oil unloading area, the oil filling island and the like can respectively observe the real-time situation through the real-time picture of a camera on a television wall and trace the unsafe events which are inspected and occur in the safe operation and the safe operation of the gas station through the video recording mode of the camera.
The relevant regulations in GB50058-92 are supplemented by that a mark with characters of 'smoke and fire forbidding' and 'flameout and refueling' is arranged at a striking position, a mark with characters of 'no dialing mobile phone' is arranged near a refueling island, and marks with characters of 'no entering into the interior', 'no punching of shoes' and 'anti-static clothing' are arranged in a tank area.
The former has the condition that fatigue, lacked easily appear in manual monitoring, and the video wall shows to need to do the carousel and will certainly leave and monitor blank period when the camera is too much moreover, and can't be in time quick, effectual will not standardize operation, all kinds of risk information, unsafe incident and transmit the administrator.
Disclosure of Invention
The invention aims to solve the technical problem that in the prior art, the omission of manual monitoring of dangerous objects and dangerous behaviors in a gas station exists, and aims to provide a method for realizing the safety standard of the gas station based on a computer image recognition technology, so as to solve the problems in the background technology.
The invention is realized by the following technical scheme:
a method for realizing gas station safety specification based on computer image recognition technology comprises the following steps:
s1: collecting camera information of an original security system; the camera information specifically comprises an IP address, a user name and a password;
s2: adding the camera information in the S1 to the streaming media server in a client software or configuration file mode; the streaming media server accesses the camera through a related protocol; the related protocols include but are not limited to RTSP protocol or RTMP protocol or GB28181 protocol;
s3: adding an algorithm analysis server and connecting with a streaming media server; the algorithm analysis server acquires a camera video stream through the integrated streaming media server and analyzes a video frame according to the camera video stream;
s4: the algorithm analysis server identifies the video frames according to an artificial intelligence identification algorithm to obtain a result meeting the identification requirement;
s5: the algorithm analysis server informs the result meeting the identification requirement to the service platform through a message queue or TCP connection or WEBAPI, and then the service platform informs field workers or managers according to the service rules;
s6: and field workers or managers can correct and stop the operation in time.
Further, a method for realizing the gas station safety specification based on the computer image recognition technology further comprises the following steps: on the basis of the step S1, according to the position, the angle and the definition requirement, the camera is added.
Further, a method for realizing the safety standard of the gas station based on the computer image recognition technology, the work flow of the artificial intelligence recognition algorithm mainly comprises the following steps:
s31: preparing data: marking a specific article in the image to form structured data;
s32: building a convolutional neural network: automatically extracting image characteristics by training the structured data;
s33: feature classification and regression: and distinguishing the target from the non-target according to the characteristics of the structured data to realize target identification.
Further, a method for realizing gas station safety specifications based on a computer image recognition technology, wherein the artificial intelligence recognition algorithm specifically comprises the following three algorithms: inputting a risk algorithm, a job algorithm and an equipment state algorithm.
Further, a method for realizing gas station safety specification based on computer image recognition technology, the input risk class algorithm mainly comprises: smoke detection, carryover detection, phone call detection, flame and smoke detection, vehicle congestion detection, perimeter intrusion detection, and crash barrier detection.
Smoking identification: identifying that people smoke in non-smoking areas of gas stations such as a gas filling area, a gas unloading area and the like;
and (3) identifying the remnant: identifying objects left by personnel in the gas station, such as backpacks, mineral water and the like;
and (3) calling identification: identifying that personnel use mobile phones and make calls in dangerous areas such as the vicinity of the oiling machine;
flame and smoke identification: identifying a flame, and smoke produced by the flame;
vehicle congestion identification: recognizing the traffic flow, and if the traffic flow is greater than a warning value, judging that the traffic is congested;
perimeter intrusion identification: identifying that a person or object is present in the scribe area;
and (3) sitting a protective guard for identification: recognizing that the person sits on the oiling machine protection rail.
Further, a method for realizing the safety specification of the gas station based on the computer image recognition technology, wherein the operation algorithm mainly comprises the following steps: the method comprises the steps of identifying without wearing a safety helmet, identifying without wearing a work clothes, identifying without placing a fire extinguisher, identifying without placing a fire blanket, identifying with oil ports of No. 0, No. 92 and No. 95, identifying without resetting the fire extinguisher, identifying without resetting the fire blanket, identifying without wearing an anti-static glove, identifying without wearing an anti-static shoe, identifying without making a welcome sign of entering a store, and identifying without making a refueling guide.
Identifying without wearing safety helmets: identifying that a worker does not wear a safety helmet during oil unloading operation in an oil unloading area;
identifying the working clothes which are not worn: identifying that a worker does not wear a worker working clothes during oil unloading operation in an oil unloading area;
and identifying when no fire extinguisher is placed: identifying that the worker does not place a fire extinguisher in a nearby designated area during oil unloading operation in an oil unloading area;
and (4) identifying the fire blanket not placed: identifying a nearby designated area where a fire blanket is not placed when a worker performs oil unloading operation in an oil unloading area;
oil port connections of 0#, 92#, 95# are identified: identifying whether the oil port connection is crossed wrongly when a worker performs oil unloading operation in an oil unloading area;
the fire extinguisher is not reset and identified: identifying that the fire extinguisher is not withdrawn after the oil unloading operation of the worker in the oil unloading area is finished;
identifying that the fire blanket is not reset: identifying that the fire blanket is not withdrawn after the oil unloading operation of the worker in the oil unloading area is finished;
identifying without wearing antistatic gloves: identifying that the worker does not wear anti-static gloves during oil unloading operation in the oil unloading area;
identifying the shoes without wearing antistatic shoes: identifying that the worker does not wear the anti-static shoes during oil unloading operation in the oil unloading area;
no store welcome identification: recognizing the gesture of a worker welcoming a visiting customer in a service area;
and (3) not performing oiling guide recognition: and recognizing the gesture of guiding the customer at the oiling area by the staff.
Further, a method for realizing gas station safety specification based on computer image recognition technology, the equipment state class algorithm mainly comprises: camera anomaly identification and equipment oil bleeding identification.
Camera anomaly identification: recognizing that the camera has a fuzzy or no picture;
and (3) identifying oil bleeding of equipment: and identifying the oil port of the oiling machine and the oil pipe connector of the oil unloading area, wherein the gasoline is discharged.
Further, a method for implementing gas station safety specification based on computer image recognition technology, the specific way of notifying the field staff or manager in S5 includes but is not limited to APP or wechat applet.
The invention aims to overcome the defects of omission in manual monitoring of dangerous objects such as flames in a gas station and dangerous behaviors such as smoking, calling and the like near the oiling machine in the prior art, adopts an artificial intelligent recognition algorithm to automatically recognize dangerous articles and dangerous behaviors in the gas station, can timely transmit irregular operation, various risk information, unsafe events and the like to a manager all the time, and is corrected or stopped by the manager.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the invention overcomes the defects of omission, monitoring blank period and the like of the traditional manual monitoring television wall with a plurality of cameras in the prior art by adopting an intelligent algorithm identification technology, and an algorithm server can accurately and timely find the safety problem of a gas station and report the safety problem to a manager all weather, and the safety problem can be corrected and prevented by the manager in time.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Examples
As shown in fig. 1, the method for implementing the gas station security specification based on the computer image recognition technology of the present invention includes:
s1: collecting camera information of an original security system; the camera information specifically comprises an IP address, a user name and a password;
s2: adding the camera information in the S1 to the streaming media server in a client software or configuration file mode; the streaming media server accesses the camera through a related protocol; the related protocols include but are not limited to RTSP protocol or RTMP protocol or GB28181 protocol;
s3: adding an algorithm analysis server and connecting with a streaming media server; the algorithm analysis server acquires a camera video stream through the integrated streaming media server and analyzes a video frame according to the camera video stream;
s4: the algorithm analysis server identifies the video frames according to an artificial intelligence identification algorithm to obtain a result meeting the identification requirement;
s5: the algorithm analysis server informs the result meeting the identification requirement to the service platform through a message queue or TCP connection or WEBAPI, and then the service platform informs field workers or managers according to the service rules;
s6: and field workers or managers can correct and stop the operation in time.
The method further comprises the following steps: on the basis of the step S1, according to the position, the angle and the definition requirement, the camera is added.
The work flow of the artificial intelligence recognition algorithm mainly comprises the following steps:
s31: preparing data: marking a specific article in the image to form structured data;
s32: building a convolutional neural network: automatically extracting image characteristics by training the structured data;
s33: feature classification and regression: and distinguishing the target from the non-target according to the characteristics of the structured data to realize target identification.
The artificial intelligence recognition algorithm specifically comprises the following three algorithms: inputting a risk algorithm, a job algorithm and an equipment state algorithm.
The input risk algorithm mainly comprises: smoke detection, carryover detection, phone call detection, flame and smoke detection, vehicle congestion detection, perimeter intrusion detection, and crash barrier detection.
Smoking identification: identifying that people smoke in non-smoking areas of gas stations such as a gas filling area, a gas unloading area and the like;
and (3) identifying the remnant: identifying objects left by personnel in the gas station, such as backpacks, mineral water and the like;
and (3) calling identification: identifying that personnel use mobile phones and make calls in dangerous areas such as the vicinity of the oiling machine;
flame and smoke identification: identifying a flame, and smoke produced by the flame;
vehicle congestion identification: recognizing the traffic flow, and if the traffic flow is greater than a warning value, judging that the traffic is congested;
perimeter intrusion identification: identifying that a person or object is present in the scribe area;
and (3) sitting a protective guard for identification: recognizing that the person sits on the oiling machine protection rail.
The operation algorithm mainly comprises the following steps: the method comprises the steps of identifying without wearing a safety helmet, identifying without wearing a work clothes, identifying without placing a fire extinguisher, identifying without placing a fire blanket, identifying with oil ports of No. 0, No. 92 and No. 95, identifying without resetting the fire extinguisher, identifying without resetting the fire blanket, identifying without wearing an anti-static glove, identifying without wearing an anti-static shoe, identifying without making a welcome sign of entering a store, and identifying without making a refueling guide.
Identifying without wearing safety helmets: identifying that a worker does not wear a safety helmet during oil unloading operation in an oil unloading area;
identifying the working clothes which are not worn: identifying that a worker does not wear a worker working clothes during oil unloading operation in an oil unloading area;
and identifying when no fire extinguisher is placed: identifying that the worker does not place a fire extinguisher in a nearby designated area during oil unloading operation in an oil unloading area;
and (4) identifying the fire blanket not placed: identifying a nearby designated area where a fire blanket is not placed when a worker performs oil unloading operation in an oil unloading area;
oil port connections of 0#, 92#, 95# are identified: identifying whether the oil port connection is crossed wrongly when a worker performs oil unloading operation in an oil unloading area;
the fire extinguisher is not reset and identified: identifying that the fire extinguisher is not withdrawn after the oil unloading operation of the worker in the oil unloading area is finished;
identifying that the fire blanket is not reset: identifying that the fire blanket is not withdrawn after the oil unloading operation of the worker in the oil unloading area is finished;
identifying without wearing antistatic gloves: identifying that the worker does not wear anti-static gloves during oil unloading operation in the oil unloading area;
identifying the shoes without wearing antistatic shoes: identifying that the worker does not wear the anti-static shoes during oil unloading operation in the oil unloading area;
no store welcome identification: recognizing the gesture of a worker welcoming a visiting customer in a service area;
and (3) not performing oiling guide recognition: and recognizing the gesture of guiding the customer at the oiling area by the staff.
The equipment state algorithm mainly comprises the following steps: camera anomaly identification and equipment oil bleeding identification.
Camera anomaly identification: recognizing that the camera has a fuzzy or no picture;
and (3) identifying oil bleeding of equipment: and identifying the oil port of the oiling machine and the oil pipe connector of the oil unloading area, wherein the gasoline is discharged.
Specific ways of notifying the field worker or manager in S5 include, but are not limited to, APP or wechat applet.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method for realizing gas station safety specification based on computer image recognition technology is characterized by comprising the following steps:
s1: collecting camera information of an original security system; the camera information specifically comprises an IP address, a user name and a password;
s2: adding the camera information in the S1 to the streaming media server in a client software or configuration file mode; the streaming media server accesses the camera through a related protocol; the related protocols include but are not limited to RTSP protocol or RTMP protocol or GB28181 protocol;
s3: adding an algorithm analysis server and connecting with a streaming media server; the algorithm analysis server acquires a camera video stream through the integrated streaming media server and analyzes a video frame according to the camera video stream;
s4: the algorithm analysis server identifies the video frames according to an artificial intelligence identification algorithm to obtain a result meeting the identification requirement;
s5: the algorithm analysis server informs the result meeting the identification requirement to the service platform through a message queue or TCP connection or WEBAPI, and then the service platform informs field workers or managers according to the service rules;
s6: and field workers or managers can correct and stop the operation in time.
2. The method for implementing gas station security specifications based on computer image recognition technology as claimed in claim 1, further comprising: on the basis of the step S1, according to the position, the angle and the definition requirement, the camera is added.
3. The method for realizing the gasoline station safety standard based on the computer image recognition technology as claimed in claim 1, wherein the workflow of the artificial intelligence recognition algorithm mainly comprises the following steps:
s31: preparing data: marking a specific article in the image to form structured data;
s32: building a convolutional neural network: automatically extracting image characteristics by training the structured data;
s33: feature classification and regression: and distinguishing the target from the non-target according to the characteristics of the structured data to realize target identification.
4. The method for realizing gas station safety specifications based on computer image recognition technology as claimed in claim 3, wherein the artificial intelligence recognition algorithm specifically comprises the following three algorithms: inputting a risk algorithm, a job algorithm and an equipment state algorithm.
5. The method of claim 4, wherein the risk class algorithm is input by a computer image recognition technology, and the method comprises: smoke detection, carryover detection, phone call detection, flame and smoke detection, vehicle congestion detection, perimeter intrusion detection, and crash barrier detection.
6. The method of claim 4, wherein the job class algorithm mainly comprises: the method comprises the steps of identifying without wearing a safety helmet, identifying without wearing a work clothes, identifying without placing a fire extinguisher, identifying without placing a fire blanket, identifying with oil ports of No. 0, No. 92 and No. 95, identifying without resetting the fire extinguisher, identifying without resetting the fire blanket, identifying without wearing an anti-static glove, identifying without wearing an anti-static shoe, identifying without making a welcome sign of entering a store, and identifying without making a refueling guide.
7. The method of claim 4, wherein the device state class algorithm mainly comprises: camera anomaly identification and equipment oil bleeding identification.
8. The method for implementing gas station safety standard based on computer image recognition technology as claimed in claim 1, wherein the specific way of notifying the field worker or manager in S5 includes but is not limited to APP or wechat applet.
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