CN112116755A - Service system for data acquisition information of gas station and implementation method - Google Patents
Service system for data acquisition information of gas station and implementation method Download PDFInfo
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- CN112116755A CN112116755A CN202010987972.XA CN202010987972A CN112116755A CN 112116755 A CN112116755 A CN 112116755A CN 202010987972 A CN202010987972 A CN 202010987972A CN 112116755 A CN112116755 A CN 112116755A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F13/00—Coin-freed apparatus for controlling dispensing or fluids, semiliquids or granular material from reservoirs
- G07F13/02—Coin-freed apparatus for controlling dispensing or fluids, semiliquids or granular material from reservoirs by volume
- G07F13/025—Coin-freed apparatus for controlling dispensing or fluids, semiliquids or granular material from reservoirs by volume wherein the volume is determined during delivery
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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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
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention belongs to the technical field of gas station data acquisition and management, and provides a gas station data acquisition information service system and an implementation method thereof, wherein the system comprises an oiling machine, a liquid level meter, a data acquisition module, a data processing module, a control module, a display module, a voice broadcasting module, a communication module, a server and a client; the method comprises S101: collecting information in a refueling station area; s102: judging suspicious vehicles, suspicious behaviors and the number of vehicles in the area of the front refueling station; s103: controlling the display module, the voice broadcast module and the communication module to work; s104: and sending the collected information to a server for storage. The service system for collecting the information of the data of the gas station and the implementation method thereof can monitor the traffic flow information and the people flow behavior in real time, conveniently manage the vehicles in the gas station, find out the dangerous behaviors of the personnel in the gas station and suspicious vehicles in time and reduce the existence of dangerous factors in the gas station.
Description
Technical Field
The invention relates to the technical field of gas station data acquisition and management, in particular to a gas station data acquisition information service system and an implementation method thereof.
Background
With the development of society and the increase of economic level, the number of automobiles is rapidly increasing. The pedestrian flow and the traffic flow of the gas station are continuously increased, the pedestrian flow and the traffic flow are irregularly changed, the pedestrian flow and the traffic flow in the gas station cannot be monitored and the behaviors of personnel and the information of vehicles can be analyzed in real time by the traditional gas station, and the dangerous behaviors and suspicious vehicle information of the personnel in the gas station cannot be found in time.
Therefore, there is an urgent need for a method and system for monitoring traffic flow information and pedestrian flow behavior in real time, analyzing the traffic flow information and the pedestrian flow behavior, and finding out dangerous behaviors and suspicious vehicle information of personnel in a gas station in time.
Disclosure of Invention
Aiming at the defects in the prior art, the gas station data acquisition information service system and the implementation method thereof provided by the invention can monitor the traffic flow information and the pedestrian flow behavior in real time, conveniently manage the vehicles in the gas station, timely discover the dangerous behaviors and suspicious vehicles of personnel in the gas station and reduce the existence of dangerous factors in the gas station.
In order to solve the technical problems, the invention provides the following technical scheme:
a service system for data acquisition and information of a gas station comprises an oiling machine, a liquid level meter, a data acquisition module, a data processing module, a control module, a display module, a voice broadcast module, a communication module, a server and a client, wherein the output end of the oiling machine is connected with the input end of the liquid level meter, the output ends of the data acquisition module and the liquid level meter are connected with the input end of the data processing module, the output end of the data processing module is respectively connected with the input ends of the display module and the voice broadcast module, the data processing module is respectively connected with the server and the client through the communication module,
the data acquisition module is used for acquiring vehicle appearance information and personnel information in the region of the refueling station;
the data processing module is used for receiving the liquid level information output by the liquid level meter, the vehicle appearance information and the personnel behavior information of the data acquisition module, judging the number of refueling vehicles which can be accommodated by a gas station at the current moment, judging whether the refueling machine needs to be filled with oil, judging whether suspicious vehicles exist and judging whether dangerous behaviors exist according to the liquid level information, the vehicle appearance information and the personnel behavior information as well as the vehicle authentication information and the personnel authentication information in the server, and sending a judgment result to the control module; the data processing module sends information to the server or reads vehicle appearance information and personnel behavior information of the server through the communication module, and the data processing module pushes service information to the client through the communication module;
the control module is used for receiving the judgment result of the data processing module and controlling the display module and the voice broadcasting module to work;
the display module is used for displaying vehicles which can be accommodated in the region of the refueling station at the current moment and the residual oil quantity in the refueling machine according to the control instruction;
the voice broadcasting module is used for broadcasting corresponding voice broadcasting information according to the control instruction;
the server is used for storing all vehicle appearance information and personnel behavior information, vehicle authentication information and personnel authentication information which appear in the refueling station area;
and the client is used for receiving the service information pushed by the data processing module.
Furthermore, the data acquisition module comprises an image acquisition module, a video acquisition module and a face recognition module, the output ends of the image acquisition module, the video acquisition module and the face recognition module are connected with the input end of the data processing module,
the image acquisition module is used for acquiring static vehicle appearance information and personnel behavior information in the refueling station area and sending the information to the data processing module;
the video acquisition module is used for acquiring dynamic vehicle appearance information and personnel behavior information in the refueling station area and sending the dynamic vehicle appearance information and the personnel behavior information to the data processing module;
the face recognition module is used for collecting the face features of the personnel in the region of the refueling station and sending the face features to the data processing module.
Further, the data processing module comprises a vehicle counting module, a comparison analysis module and an oil quantity estimation module,
the vehicle counting module is used for receiving the vehicle appearance information acquired by the image acquisition module and the video acquisition module, counting by the vehicle counting module when the image acquisition module and the video acquisition module acquire that a new vehicle enters the refueling station area, counting by the vehicle counting module when the image acquisition module and the video acquisition module acquire that the vehicle exits the refueling station area, judging the number of the refueling vehicles in the refueling station at the current moment, obtaining the number of the refueling vehicles capable of being accommodated in the refueling station at the current moment, and sending the number of the refueling vehicles capable of being accommodated in the refueling station at the current moment to the control module;
the comparison analysis module is used for receiving the vehicle appearance information, the human face characteristics and the personnel behavior information which are acquired by the image acquisition module, the video acquisition module and the human face recognition module, judging whether dangerous behaviors exist in the region of the refueling station or not according to the human face characteristics and the personnel behavior information which are acquired by the image acquisition module, the video acquisition module and the human face recognition module and the personnel behavior information and the authentication information of the server, and sending the information of the dangerous behaviors to the control module; according to the vehicle shape information and the face characteristics acquired by the image acquisition module, the video acquisition module and the face recognition module, comparing the vehicle shape information and the person authentication information stored in the server, judging whether a suspicious vehicle exists, and sending the information of the suspicious vehicle to the control module;
the oil quantity estimation module is used for receiving the liquid level information recorded in the liquid level meter and the number of the refueling vehicles in the refueling station at the current moment of the vehicle counting module and judging whether the refueling machines need to be filled with oil or not.
Further, the vehicle appearance information includes a license plate number, a vehicle brand, a vehicle model, and a vehicle color;
the vehicle authentication information comprises a license plate number, a vehicle owner name, a vehicle owner identity card number and a vehicle owner telephone;
the personnel behavior information is dangerous action characteristics of personnel, and the dangerous action characteristics of the personnel comprise smoking and smashing actions;
the personnel authentication information comprises facial features, names, identification numbers and telephone numbers of personnel;
the liquid level information comprises the oil filling amount of the vehicle each time, the oil filling times and the residual oil amount in the current oil filling machine;
the service information comprises the number of vehicles which can be accommodated in the gas station at present, the residual oil quantity in the gas station, the license plate number of a suspicious vehicle and the identity number of a person who sends out a dangerous behavior;
the voice broadcast information comprises the prompt messages of the number of vehicles which can be accommodated currently, suspicious vehicles in the gas station and dangerous behaviors in the gas station.
A method for realizing data acquisition information service of a gas station comprises the following steps:
s101: collecting vehicle appearance information, human face characteristics and personnel behavior information in a refueling station area; the liquid level meter records the oil filling amount, the oil filling times and the residual oil amount in the current oil filling machine of the vehicle each time;
s102: counting the number of vehicles in the current refueling station area according to the vehicle shape information, the human face characteristics, the personnel behavior information, the vehicle authentication information and the personnel authentication information in the server, judging the number of refueled vehicles which can be accommodated in the refueling station at the current moment, judging whether suspicious vehicles and dangerous behaviors exist in the refueling station area, and sending the judgment result to the control module; judging whether the oiling machine needs to be filled with oil or not according to the liquid level information recorded in the liquid level meter and the number of vehicles in the current oiling station area, and sending a judgment result to the control module;
s103: the control module broadcasts suspicious vehicles and dangerous behavior prompt information existing in the region of the refueling station through the control voice broadcast module; meanwhile, the comparison and analysis module pushes a service message to the client through the communication module;
s104: and the comparison analysis module sends the acquired vehicle appearance information and the acquired personnel behavior information to a server for storage through the communication module.
Further, the process of counting the number of vehicles in the area of the current fueling station and determining the number of the vehicles that can be accommodated by the fueling station at the current time in step S102 includes:
s10201: setting the maximum number of vehicles which can be refueled simultaneously in the gas station according to the scale of the gas station;
s10202: counting the number of vehicles in the current refueling station area: when a new vehicle enters the refueling station area, the vehicle counting module counts up, and when the new vehicle exits the refueling station area, the vehicle counting module counts down;
s10203: the difference value between the maximum number of vehicles which can be simultaneously refueled in the gas station and the number of vehicles in the current gas station area is the number of refueled vehicles which can be accommodated by the gas station at the current moment.
Further, the step S102 of determining whether there is a suspicious vehicle in the fueling station area includes:
s10204: comparing the acquired vehicle shape information in the refueling station area with the vehicle shape information in the server, judging whether the vehicle shape information in the refueling station area is matched with the vehicle shape information in the server or not, and performing step S10205; otherwise, go to step S10206;
s10205: matching the human face characteristics of the driver with the facial characteristics in the personnel authentication information to obtain the name, the identification number and the telephone number of the driver, matching the license plate number in the vehicle appearance information with the license plate number in the vehicle authentication information to obtain the name, the identification number and the telephone number of the owner of the vehicle, and if the name, the identification number and the telephone number of the driver are consistent with the name, the identification number and the telephone number of the owner of the vehicle, indicating that the vehicle is a normal vehicle; otherwise, the temporary driver replacement of the vehicle is described, the information of the temporary driver replacement is sent to the vehicle owner, and the step S10207 is performed:
s10206: the vehicle is a new vehicle, and the vehicle appearance information of the vehicle is stored in a server;
s10207: the method comprises the steps of continuously detecting the shape information of the vehicle and the face characteristics of drivers, judging the vehicle to be a suspicious vehicle if the face characteristics of a plurality of drivers appear in the vehicle in a detection period, acquiring the license plate number of the vehicle, sending the information of temporarily replacing the drivers to a vehicle owner, and playing the prompt information of the suspicious vehicle through a voice broadcast module.
Further, the step S102 of determining whether there is a dangerous behavior in the fueling station area includes:
s10208: judging whether the personnel behavior information is matched with the personnel behavior information in the server or not, and performing step S10209; otherwise, the personnel is indicated to have no dangerous behaviors;
s10209: and comparing the face characteristics with the face characteristics of the personnel authentication information in the server to obtain the name, the identification number and the telephone number of the personnel sending the dangerous behaviors.
S10210: and sending a prompt message to the telephone number of the person who sends the dangerous behavior, and simultaneously playing the prompt message with the dangerous behavior through the voice broadcasting module.
Further, the step S102 of determining whether the refueling machine needs to be filled according to the liquid level information recorded in the liquid level meter and the number of vehicles in the current refueling station area includes:
s10211: receiving the oil filling amount and the oil filling times of the vehicle every time recorded in the liquid level meter, and calculating the average oil filling amount of the vehicle;
s10212: and estimating the service time of the residual fuel quantity in the refueling machine according to the residual fuel quantity in the current refueling machine, the average refueling quantity of the vehicles and the number of the refueled vehicles in the current refueling station.
According to the technical scheme, the invention has the beneficial effects that: the liquid level meter is used for acquiring liquid level information in the refueling machine, the data acquisition module is used for acquiring vehicle appearance information and personnel behavior information in a refueling station area in real time, the data processing module is used for processing the liquid level information, judging the number of refueling vehicles in the refueling station at the current moment and obtaining the number of the refueling vehicles capable of being accommodated in the refueling station at the current moment, the voice broadcasting module is used for broadcasting the number of the refueling vehicles capable of being accommodated in the refueling station at the current moment and pushing service information to a client, so that a worker can conveniently manage the refueling vehicles, and the refueling vehicles can independently select refueling time; judging whether the oiling machine needs to be filled with oil or not, and conveniently prompting staff of a gas station to fill oil in time; the data processing module compares vehicle appearance information and personnel information with vehicle authentication information and personnel authentication information in the server, judges whether suspicious vehicles and dangerous behaviors exist in the gas station, broadcasts the dangerous information through the voice broadcast module and pushes service information to the client, reminds personnel in the gas station to actively discover and stop sending the dangerous behaviors, is favorable for reducing dangerous factors in the gas station, and ensures safety in the gas station area.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a functional block diagram of the system of the present invention;
FIG. 2 is a flow chart of the method of the present invention;
FIG. 3 is a flowchart illustrating the steps of step S102 of the present invention of counting the number of vehicles in the area of the present fueling station and determining the number of vehicles that can be accommodated by the fueling station at the present moment;
FIG. 4 is a flowchart illustrating the step S102 of determining whether there is a suspicious vehicle in the fueling station area according to the present invention;
FIG. 5 is a flowchart illustrating the step S102 of determining whether dangerous behavior exists in the fueling station area according to the present invention;
fig. 6 is a flowchart illustrating the step S102 of determining whether the refueling machine needs to be filled according to the liquid level information recorded in the liquid level meter and the number of vehicles in the current refueling station area.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
Referring to fig. 1, the data acquisition information service system of the gas station provided by the embodiment includes an oiling machine, a liquid level meter, a data acquisition module, a data processing module, a control module, a display module, a voice broadcast module, a communication module, a server and a client, wherein an output end of the oiling machine is connected with an input end of the liquid level meter, output ends of the data acquisition module and the liquid level meter are connected with an input end of the data processing module, an output end of the data processing module is respectively connected with input ends of the display module and the voice broadcast module, the data processing module is respectively connected with the server and the client through the communication module, the communication module is a 4G or 5G communication module, the data processing module is a single chip processor, and the display module is an LED display screen;
the data acquisition module is used for acquiring vehicle appearance information and personnel information in the region of the refueling station;
the data processing module is used for receiving the liquid level information output by the liquid level meter, the vehicle appearance information and the personnel behavior information of the data acquisition module, judging the number of refueling vehicles which can be accommodated by a gas station at the current moment, judging whether the refueling machine needs to be filled with oil, judging whether suspicious vehicles exist and judging whether dangerous behaviors exist according to the liquid level information, the vehicle appearance information and the personnel behavior information as well as the vehicle authentication information and the personnel authentication information in the server, and sending a judgment result to the control module; the data processing module sends information to the server or reads vehicle appearance information and personnel behavior information of the server through the communication module, and the data processing module pushes service information to the client through the communication module;
the control module is used for receiving the judgment result of the data processing module and controlling the display module and the voice broadcasting module to work;
the display module is used for displaying vehicles which can be accommodated in the region of the refueling station at the current moment and the residual oil quantity in the refueling machine according to the control instruction;
the voice broadcasting module is used for broadcasting corresponding voice broadcasting information according to the control instruction;
the server is used for storing all vehicle appearance information and personnel behavior information, vehicle authentication information and personnel authentication information which appear in the refueling station area;
and the client is used for receiving the service information pushed by the data processing module.
In actual use, liquid level information in the refueling machine is collected through a liquid level meter, vehicle appearance information and personnel behavior information in a refueling station area are collected in real time through a data collection module, the liquid level information is processed through a data processing module, the number of refueling vehicles in the refueling station at the current moment is judged, the number of refueling vehicles capable of being accommodated in the refueling station at the current moment is obtained, the number of refueling vehicles capable of being accommodated in the refueling station at the current moment is broadcasted through a voice broadcast module, service information is pushed to a client, management of the refueling vehicles by workers is facilitated, and meanwhile the refueling vehicles can independently select refueling time; judging whether the oiling machine needs to be filled with oil or not, and conveniently prompting staff of a gas station to fill oil in time; the data processing module compares vehicle appearance information and personnel information with vehicle authentication information and personnel authentication information in the server, judges whether suspicious vehicles and dangerous behaviors exist in the gas station, broadcasts the dangerous information through the voice broadcast module and pushes service information to the client, reminds personnel in the gas station to actively discover and stop sending the dangerous behaviors, is favorable for reducing dangerous factors in the gas station, and ensures safety in the gas station area.
In this embodiment, the data acquisition module comprises an image acquisition module, a video acquisition module and a face recognition module, the output ends of the image acquisition module, the video acquisition module and the face recognition module are connected with the input end of the data processing module, the image acquisition module is a camera, the video acquisition module is a 360-degree rotating video camera,
the image acquisition module is used for acquiring static vehicle appearance information and personnel behavior information in the refueling station area and sending the information to the data processing module;
the video acquisition module is used for acquiring dynamic vehicle appearance information and personnel behavior information in the refueling station area and sending the dynamic vehicle appearance information and the personnel behavior information to the data processing module;
the face recognition module is used for collecting the face features of the personnel in the region of the refueling station and sending the face features to the data processing module.
In actual use, vehicle appearance information, personnel behavior information and human face characteristic information acquired by the image acquisition module, the video acquisition module and the human face recognition module are compared with vehicle appearance information and personnel behavior information and vehicle authentication information and personnel authentication information in the server, so that whether suspicious vehicles and dangerous behaviors exist in the gas station or not is judged conveniently.
In the embodiment, the data processing module comprises a vehicle counting module, a comparison analysis module and an oil quantity estimation module,
the vehicle counting module is used for receiving the vehicle appearance information acquired by the image acquisition module and the video acquisition module, counting by the vehicle counting module when the image acquisition module and the video acquisition module acquire that a new vehicle enters the refueling station area, counting by the vehicle counting module when the image acquisition module and the video acquisition module acquire that the vehicle exits the refueling station area, judging the number of the refueling vehicles in the refueling station at the current moment, obtaining the number of the refueling vehicles capable of being accommodated in the refueling station at the current moment, and sending the number of the refueling vehicles capable of being accommodated in the refueling station at the current moment to the control module;
the comparison analysis module is used for receiving the vehicle appearance information, the human face characteristics and the personnel behavior information which are acquired by the image acquisition module, the video acquisition module and the human face recognition module, judging whether dangerous behaviors exist in the region of the refueling station or not according to the human face characteristics and the personnel behavior information which are acquired by the image acquisition module, the video acquisition module and the human face recognition module and the personnel behavior information and the authentication information of the server, and sending the information of the dangerous behaviors to the control module; according to the vehicle shape information and the face characteristics acquired by the image acquisition module, the video acquisition module and the face recognition module, comparing the vehicle shape information and the person authentication information stored in the server, judging whether a suspicious vehicle exists, and sending the information of the suspicious vehicle to the control module;
the oil quantity estimation module is used for receiving the liquid level information recorded in the liquid level meter and the number of the refueling vehicles in the refueling station at the current moment of the vehicle counting module and judging whether the refueling machines need to be filled with oil or not.
In actual use, the number of the vehicles to be refueled in the gas station at the current moment is calculated through the vehicle counting module, so that the number of the vehicles to be refueled which can be accommodated in the gas station at the current moment is obtained, and workers can conveniently manage the vehicles to be refueled; the comparison analysis module compares the vehicle appearance information, the human face characteristics and the personnel behavior information with the personnel behavior information and the authentication information in the server, so that whether dangerous behaviors and suspicious vehicles exist or not can be conveniently judged; whether the oiling machine needs to be oiled or not is judged through the oil quantity estimation module, and workers are prompted to fill oil in time.
In the embodiment, the vehicle appearance information includes a license plate number, a vehicle brand, a vehicle model and a vehicle color;
the vehicle authentication information comprises a license plate number, a vehicle owner name, a vehicle owner identity card number and a vehicle owner telephone;
the personnel behavior information is dangerous action characteristics of personnel, and the dangerous action characteristics of the personnel comprise smoking and smashing actions;
the personnel authentication information comprises facial features, names, identification numbers and telephone numbers of personnel;
the liquid level information comprises the oil filling amount of the vehicle each time, the oil filling times and the residual oil amount in the current oil filling machine;
the service information comprises the number of vehicles which can be accommodated in the gas station at present, the residual oil quantity in the gas station, the license plate number of a suspicious vehicle and the identity number of a person who sends out a dangerous behavior;
the voice broadcast information comprises the prompt messages of the number of vehicles which can be accommodated currently, suspicious vehicles in the gas station and dangerous behaviors in the gas station.
In actual use, the vehicle appearance information is associated with the vehicle authentication information through a license plate number, the personnel behavior information is associated with the personnel authentication information through facial features, and when the vehicle appearance information is matched with the vehicle appearance information in the server, the name of a vehicle owner, the identity number of the vehicle owner and the telephone of the vehicle owner are associated through the license plate number, so that prompt information can be conveniently pushed to the vehicle owner; after the personnel behavior information is matched with the personnel behavior information in the server, the name, the identity card number and the telephone number of the personnel are associated through the facial features, and therefore warning information can be conveniently pushed to a vehicle owner.
Referring to fig. 2, the method for implementing the data collecting information service of the gas station according to the embodiment includes the following steps:
s101: collecting vehicle appearance information, human face characteristics and personnel behavior information in a refueling station area; the liquid level meter records the oil filling amount, the oil filling times and the residual oil amount in the current oil filling machine of the vehicle each time;
s102: counting the number of vehicles in the current refueling station area according to the vehicle shape information, the human face characteristics, the personnel behavior information, the vehicle authentication information and the personnel authentication information in the server, judging the number of refueled vehicles which can be accommodated in the refueling station at the current moment, judging whether suspicious vehicles and dangerous behaviors exist in the refueling station area, and sending the judgment result to the control module; judging whether the oiling machine needs to be filled with oil or not according to the liquid level information recorded in the liquid level meter and the number of vehicles in the current oiling station area, and sending a judgment result to the control module;
s103: the control module broadcasts suspicious vehicles and dangerous behavior prompt information existing in the region of the refueling station through the control voice broadcast module; meanwhile, the comparison and analysis module pushes a service message to the client through the communication module;
s104: and the comparison analysis module sends the acquired vehicle appearance information and the acquired personnel behavior information to a server for storage through the communication module.
In actual use, the number of vehicles in the current refueling station area is counted according to the vehicle appearance information, the human face characteristics and the personnel behavior information, the number of refueled vehicles which can be accommodated by a refueling station at the current moment is judged, the number of refueled vehicles which can be accommodated by the refueling station at the current moment is broadcasted through the voice broadcast module, and meanwhile, a service message is pushed to a client through the communication module, so that a worker can conveniently manage the refueled vehicles, and the refueled vehicles can conveniently and independently select refueling time; whether suspicious vehicles and dangerous behaviors exist in the refueling station area or not is judged, the prompting information of the suspicious vehicles and the dangerous behaviors existing in the refueling station area is broadcasted through the voice broadcasting module, and the prompting information is pushed to the client through the communication module, so that the existence of dangerous factors in a refueling station is reduced, and the safety in the refueling station area is ensured; according to the liquid level information recorded in the liquid level meter and the number of vehicles in the current refueling station area, whether the refueling machine needs to be filled with oil is judged, and the oiling machine is convenient for workers and people to fill oil in time.
Referring to fig. 3, the process of counting the number of vehicles in the area of the current fueling station and determining the number of vehicles that can be accommodated by the fueling station at the current time in step S102 includes:
s10201: setting the maximum number of vehicles which can be refueled simultaneously in the gas station according to the scale of the gas station;
s10202: counting the number of vehicles in the current refueling station area: when a new vehicle enters the refueling station area, the vehicle counting module counts up, and when the new vehicle exits the refueling station area, the vehicle counting module counts down;
s10203: the difference value between the maximum number of vehicles which can be simultaneously refueled in the gas station and the number of vehicles in the current gas station area is the number of refueled vehicles which can be accommodated by the gas station at the current moment.
In actual use, the difference value between the maximum number of vehicles which can be simultaneously refueled in the gas station and the number of the vehicles in the current refueling station area is used as the number of the refueled vehicles which can be accommodated in the gas station at the current moment, so that the staff can conveniently manage the refueled vehicles, and the refueled vehicles can autonomously select the refueling time according to the number of the refueled vehicles which can be accommodated in the gas station at the current moment.
Referring to fig. 4, the process of determining whether there is a suspicious vehicle in the fueling station area in step S102 includes:
s10204: comparing the acquired vehicle shape information in the refueling station area with the vehicle shape information in the server, judging whether the vehicle shape information in the refueling station area is matched with the vehicle shape information in the server or not, and performing step S10205; otherwise, go to step S10206;
s10205: matching the human face characteristics of the driver with the facial characteristics in the personnel authentication information to obtain the name, the identification number and the telephone number of the driver, matching the license plate number in the vehicle appearance information with the license plate number in the vehicle authentication information to obtain the name, the identification number and the telephone number of the owner of the vehicle, and if the name, the identification number and the telephone number of the driver are consistent with the name, the identification number and the telephone number of the owner of the vehicle, indicating that the vehicle is a normal vehicle; otherwise, the vehicle is described to temporarily replace the driver, the information of the temporarily replaced driver is sent to the vehicle owner, and step S10207 is performed, where an algorithm for matching the facial features of the driver with the facial features in the person authentication information is in the prior art, and therefore, the description is omitted.
S10206: the vehicle is a new vehicle, and the vehicle appearance information of the vehicle is stored in a server;
s10207: the vehicle face detection method comprises the steps of continuously detecting the shape information of the vehicle and the face characteristics of drivers, judging the vehicle to be a suspicious vehicle if the face characteristics of a plurality of drivers appear in the vehicle in a detection period, obtaining the license plate number of the vehicle, sending the information of temporarily replacing the drivers to a vehicle owner, playing the prompt information of the suspicious vehicle through a voice broadcast module, and setting the detection period according to the requirements.
In actual use, firstly, vehicle appearance information in an acquired refueling station area is compared with vehicle appearance information in a server, then, the human face feature of a driver is matched with the face feature in the personnel authentication information to obtain the name, the identification number and the telephone number of the driver, the license plate number in the vehicle appearance information is matched with the license plate number in the vehicle authentication information to obtain the name, the identification number and the telephone number of a vehicle owner, and finally, the suspected vehicle judgment accuracy is improved and the suspected vehicle is effectively controlled by comparing the name, the identification number and the telephone number of the driver with the name, the identification number and the telephone number of the vehicle owner.
Referring to fig. 5, the process of determining whether dangerous behaviors exist in the fueling station area in step S102 includes:
s10208: judging whether the personnel behavior information is matched with the personnel behavior information in the server or not, and performing step S10209; otherwise, it indicates that the personnel does not have dangerous behaviors, wherein the comparison method of the personnel behavior information and the personnel behavior information in the server is the prior art, and is not repeated;
s10209: and comparing the face characteristics with the face characteristics of the personnel authentication information in the server to obtain the name, the identification number and the telephone number of the personnel sending the dangerous behaviors.
S10210: and sending a prompt message to the telephone number of the person who sends the dangerous behavior, and simultaneously playing the prompt message with the dangerous behavior through the voice broadcasting module.
In actual use, firstly, the personnel behavior information is compared with the personnel behavior information in the server, and then the face characteristics are compared with the face characteristics of the personnel authentication information in the server, so that the accuracy of judging the dangerous behaviors of the personnel is improved, and the dangerous behaviors can be found and prevented in time.
Referring to fig. 6, the step S102 of determining whether the refueling machine needs to be filled according to the liquid level information recorded in the liquid level meter and the number of vehicles in the current refueling station area includes:
s10211: receiving the oil filling amount and the oil filling times of the vehicle every time recorded in the liquid level meter, and calculating the average oil filling amount of the vehicle;
s10212: and estimating the service time of the residual fuel quantity in the refueling machine according to the residual fuel quantity in the current refueling machine, the average refueling quantity of the vehicles and the number of the refueled vehicles in the current refueling station.
In actual use, the oil filling amount of the vehicle each time and the number of the vehicles in the current oil filling station area are recorded through the liquid level meter, the service time of the residual oil amount in the oil filling machine is estimated, and a worker can conveniently determine whether to fill oil in time according to the service condition of the oil amount in the oil filling machine.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (9)
1. A gas station data acquisition information service system is characterized by comprising an oiling machine, a liquid level meter, a data acquisition module, a data processing module, a control module, a display module, a voice broadcast module, a communication module, a server and a client, wherein the output end of the oiling machine is connected with the input end of the liquid level meter, the output ends of the data acquisition module and the liquid level meter are connected with the input end of the data processing module, the output end of the data processing module is respectively connected with the input ends of the display module and the voice broadcast module, the data processing module is respectively connected with the server and the client through the communication module,
the data acquisition module is used for acquiring vehicle appearance information and personnel information in the region of the refueling station;
the data processing module is used for receiving the liquid level information output by the liquid level meter, the vehicle appearance information and the personnel behavior information of the data acquisition module, judging the number of refueling vehicles which can be accommodated by a gas station at the current moment, judging whether the refueling machine needs to be filled with oil, judging whether suspicious vehicles exist and judging whether dangerous behaviors exist according to the liquid level information, the vehicle appearance information and the personnel behavior information as well as the vehicle authentication information and the personnel authentication information in the server, and sending a judgment result to the control module; the data processing module sends information to the server or reads vehicle appearance information and personnel behavior information of the server through the communication module, and the data processing module pushes service information to the client through the communication module;
the control module is used for receiving the judgment result of the data processing module and controlling the display module and the voice broadcasting module to work;
the display module is used for displaying vehicles which can be accommodated in the region of the refueling station at the current moment and the residual oil quantity in the refueling machine according to the control instruction;
the voice broadcasting module is used for broadcasting corresponding voice broadcasting information according to the control instruction;
the server is used for storing all vehicle appearance information and personnel behavior information, vehicle authentication information and personnel authentication information which appear in the refueling station area;
and the client is used for receiving the service information pushed by the data processing module.
2. The gas station data acquisition information service system of claim 1, wherein the data acquisition module comprises an image acquisition module, a video acquisition module and a face recognition module, the output terminals of the image acquisition module, the video acquisition module and the face recognition module are connected with the input terminal of the data processing module,
the image acquisition module is used for acquiring static vehicle appearance information and personnel behavior information in the refueling station area and sending the information to the data processing module;
the video acquisition module is used for acquiring dynamic vehicle appearance information and personnel behavior information in the refueling station area and sending the dynamic vehicle appearance information and the personnel behavior information to the data processing module;
the face recognition module is used for collecting the face features of the personnel in the region of the refueling station and sending the face features to the data processing module.
3. The system of claim 2, wherein the data processing module comprises a vehicle counting module, a comparison analysis module and a fuel quantity estimation module,
the vehicle counting module is used for receiving the vehicle appearance information acquired by the image acquisition module and the video acquisition module, counting by the vehicle counting module when the image acquisition module and the video acquisition module acquire that a new vehicle enters the refueling station area, counting by the vehicle counting module when the image acquisition module and the video acquisition module acquire that the vehicle exits the refueling station area, judging the number of the refueling vehicles in the refueling station at the current moment, obtaining the number of the refueling vehicles capable of being accommodated in the refueling station at the current moment, and sending the number of the refueling vehicles capable of being accommodated in the refueling station at the current moment to the control module;
the comparison analysis module is used for receiving the vehicle appearance information, the human face characteristics and the personnel behavior information which are acquired by the image acquisition module, the video acquisition module and the human face recognition module, judging whether dangerous behaviors exist in the region of the refueling station or not according to the human face characteristics and the personnel behavior information which are acquired by the image acquisition module, the video acquisition module and the human face recognition module and the personnel behavior information and the authentication information of the server, and sending the information of the dangerous behaviors to the control module; according to the vehicle shape information and the face characteristics acquired by the image acquisition module, the video acquisition module and the face recognition module, comparing the vehicle shape information and the person authentication information stored in the server, judging whether a suspicious vehicle exists, and sending the information of the suspicious vehicle to the control module;
the oil quantity estimation module is used for receiving the liquid level information recorded in the liquid level meter and the number of the refueling vehicles in the refueling station at the current moment of the vehicle counting module and judging whether the refueling machines need to be filled with oil or not.
4. The system of claim 3, wherein the vehicle shape information includes license plate number, vehicle brand, vehicle model, and vehicle color;
the vehicle authentication information comprises a license plate number, a vehicle owner name, a vehicle owner identity card number and a vehicle owner telephone;
the personnel behavior information is dangerous action characteristics of personnel, and the dangerous action characteristics of the personnel comprise smoking and smashing actions;
the personnel authentication information comprises facial features, names, identification numbers and telephone numbers of personnel;
the liquid level information comprises the oil filling amount of the vehicle each time, the oil filling times and the residual oil amount in the current oil filling machine;
the service information comprises the number of vehicles which can be accommodated in the gas station at present, the residual oil quantity in the gas station, the license plate number of a suspicious vehicle and the identity number of a person who sends out a dangerous behavior;
the voice broadcast information comprises the prompt messages of the number of vehicles which can be accommodated currently, suspicious vehicles in the gas station and dangerous behaviors in the gas station.
5. A method for realizing data acquisition information service of a gas station is characterized by comprising the following steps:
s101: collecting vehicle appearance information, human face characteristics and personnel behavior information in a refueling station area; the liquid level meter records the oil filling amount, the oil filling times and the residual oil amount in the current oil filling machine of the vehicle each time;
s102: counting the number of vehicles in the current refueling station area according to the vehicle shape information, the human face characteristics, the personnel behavior information, the vehicle authentication information and the personnel authentication information in the server, judging the number of refueled vehicles which can be accommodated in the refueling station at the current moment, judging whether suspicious vehicles and dangerous behaviors exist in the refueling station area, and sending the judgment result to the control module; judging whether the oiling machine needs to be filled with oil or not according to the liquid level information recorded in the liquid level meter and the number of vehicles in the current oiling station area, and sending a judgment result to the control module;
s103: the control module broadcasts suspicious vehicles and dangerous behavior prompt information existing in the region of the refueling station through the control voice broadcast module; meanwhile, the comparison and analysis module pushes a service message to the client through the communication module;
s104: and the comparison analysis module sends the acquired vehicle appearance information and the acquired personnel behavior information to a server for storage through the communication module.
6. The method as claimed in claim 5, wherein the step S102 of counting the number of vehicles in the area of the gas station and determining the number of vehicles that can be accommodated by the gas station at the current time comprises:
s10201: setting the maximum number of vehicles which can be refueled simultaneously in the gas station according to the scale of the gas station;
s10202: counting the number of vehicles in the current refueling station area: when a new vehicle enters the refueling station area, the vehicle counting module counts up, and when the new vehicle exits the refueling station area, the vehicle counting module counts down;
s10203: the difference value between the maximum number of vehicles which can be simultaneously refueled in the gas station and the number of vehicles in the current gas station area is the number of refueled vehicles which can be accommodated by the gas station at the current moment.
7. The method as claimed in claim 5, wherein the step S102 of determining whether there is a suspicious vehicle in the area of the fueling station comprises:
s10204: comparing the acquired vehicle shape information in the refueling station area with the vehicle shape information in the server, judging whether the vehicle shape information in the refueling station area is matched with the vehicle shape information in the server or not, and performing step S10205; otherwise, go to step S10206;
s10205: matching the human face characteristics of the driver with the facial characteristics in the personnel authentication information to obtain the name, the identification number and the telephone number of the driver, matching the license plate number in the vehicle appearance information with the license plate number in the vehicle authentication information to obtain the name, the identification number and the telephone number of the owner of the vehicle, and if the name, the identification number and the telephone number of the driver are consistent with the name, the identification number and the telephone number of the owner of the vehicle, indicating that the vehicle is a normal vehicle; otherwise, the temporary driver replacement of the vehicle is described, the information of the temporary driver replacement is sent to the vehicle owner, and the step S10207 is performed:
s10206: the vehicle is a new vehicle, and the vehicle appearance information of the vehicle is stored in a server;
s10207: the method comprises the steps of continuously detecting the shape information of the vehicle and the face characteristics of drivers, judging the vehicle to be a suspicious vehicle if the face characteristics of a plurality of drivers appear in the vehicle in a detection period, acquiring the license plate number of the vehicle, sending the information of temporarily replacing the drivers to a vehicle owner, and playing the prompt information of the suspicious vehicle through a voice broadcast module.
8. The method as claimed in claim 5, wherein the step S102 of determining whether dangerous behaviors exist in the area of the fueling station includes:
s10208: judging whether the personnel behavior information is matched with the personnel behavior information in the server or not, and performing step S10209; otherwise, the personnel is indicated to have no dangerous behaviors;
s10209: and comparing the face characteristics with the face characteristics of the personnel authentication information in the server to obtain the name, the identification number and the telephone number of the personnel sending the dangerous behaviors.
S10210: and sending a prompt message to the telephone number of the person who sends the dangerous behavior, and simultaneously playing the prompt message with the dangerous behavior through the voice broadcasting module.
9. The method for implementing the service of collecting the information at the gas station as claimed in claim 5, wherein the step S102 of determining whether the fuel dispenser needs to be filled with fuel according to the liquid level information recorded in the liquid level meter and the number of vehicles in the current region of the gas station comprises:
s10211: receiving the oil filling amount and the oil filling times of the vehicle every time recorded in the liquid level meter, and calculating the average oil filling amount of the vehicle;
s10212: and estimating the service time of the residual fuel quantity in the refueling machine according to the residual fuel quantity in the current refueling machine, the average refueling quantity of the vehicles and the number of the refueled vehicles in the current refueling station.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113496211A (en) * | 2021-06-22 | 2021-10-12 | 北京格灵深瞳信息技术股份有限公司 | Target vehicle determination method and device, electronic equipment and storage medium |
| CN113596132A (en) * | 2021-07-22 | 2021-11-02 | 成都油管家科技有限公司 | Refueling service information pushing method of mobile gas station and gas station service system |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9235750B1 (en) * | 2011-09-16 | 2016-01-12 | Lytx, Inc. | Using passive driver identification and other input for providing real-time alerts or actions |
| CN105741560A (en) * | 2016-02-22 | 2016-07-06 | 中国石油天然气股份有限公司安徽销售分公司 | Vehicle identification method used for gas station |
| CN106710294A (en) * | 2016-11-07 | 2017-05-24 | 中山大学南方学院 | Vehicle anti-theft system and method of parking lot |
| CN106845342A (en) * | 2016-12-15 | 2017-06-13 | 重庆凯泽科技股份有限公司 | A kind of intelligence community monitoring system and method |
| CN108288307A (en) * | 2018-01-19 | 2018-07-17 | 北京悦畅科技有限公司 | A kind of parking lot management method, server, video camera and terminal device |
| CN108805008A (en) * | 2018-04-19 | 2018-11-13 | 江苏理工学院 | A kind of community's vehicle security system based on deep learning |
| CN108921046A (en) * | 2018-06-11 | 2018-11-30 | 武汉兴火源科技有限责任公司 | A kind of the community parking field anti-theft prewarning system and its method of identity-based identification |
| CN109254541A (en) * | 2018-11-29 | 2019-01-22 | 成都油管家科技有限公司 | A kind of gas station's data real-time statistics system |
| CN110490124A (en) * | 2019-08-15 | 2019-11-22 | 成都睿晓科技有限公司 | A kind of intelligentized gas station's Site Service and risk management and control system |
| CN209746575U (en) * | 2019-06-29 | 2019-12-06 | 河南赛普斯特仪器仪表有限公司 | Gas station personnel and vehicle identification system |
| CN111086519A (en) * | 2019-11-29 | 2020-05-01 | 苏彦明 | Intelligent vehicle safe driving method and system |
| CN111553329A (en) * | 2020-06-14 | 2020-08-18 | 深圳天海宸光科技有限公司 | Gas station intelligent safety processing system and method based on machine vision |
-
2020
- 2020-09-18 CN CN202010987972.XA patent/CN112116755B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9235750B1 (en) * | 2011-09-16 | 2016-01-12 | Lytx, Inc. | Using passive driver identification and other input for providing real-time alerts or actions |
| CN105741560A (en) * | 2016-02-22 | 2016-07-06 | 中国石油天然气股份有限公司安徽销售分公司 | Vehicle identification method used for gas station |
| CN106710294A (en) * | 2016-11-07 | 2017-05-24 | 中山大学南方学院 | Vehicle anti-theft system and method of parking lot |
| CN106845342A (en) * | 2016-12-15 | 2017-06-13 | 重庆凯泽科技股份有限公司 | A kind of intelligence community monitoring system and method |
| CN108288307A (en) * | 2018-01-19 | 2018-07-17 | 北京悦畅科技有限公司 | A kind of parking lot management method, server, video camera and terminal device |
| CN108805008A (en) * | 2018-04-19 | 2018-11-13 | 江苏理工学院 | A kind of community's vehicle security system based on deep learning |
| CN108921046A (en) * | 2018-06-11 | 2018-11-30 | 武汉兴火源科技有限责任公司 | A kind of the community parking field anti-theft prewarning system and its method of identity-based identification |
| CN109254541A (en) * | 2018-11-29 | 2019-01-22 | 成都油管家科技有限公司 | A kind of gas station's data real-time statistics system |
| CN209746575U (en) * | 2019-06-29 | 2019-12-06 | 河南赛普斯特仪器仪表有限公司 | Gas station personnel and vehicle identification system |
| CN110490124A (en) * | 2019-08-15 | 2019-11-22 | 成都睿晓科技有限公司 | A kind of intelligentized gas station's Site Service and risk management and control system |
| CN111086519A (en) * | 2019-11-29 | 2020-05-01 | 苏彦明 | Intelligent vehicle safe driving method and system |
| CN111553329A (en) * | 2020-06-14 | 2020-08-18 | 深圳天海宸光科技有限公司 | Gas station intelligent safety processing system and method based on machine vision |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113496211A (en) * | 2021-06-22 | 2021-10-12 | 北京格灵深瞳信息技术股份有限公司 | Target vehicle determination method and device, electronic equipment and storage medium |
| CN113596132A (en) * | 2021-07-22 | 2021-11-02 | 成都油管家科技有限公司 | Refueling service information pushing method of mobile gas station and gas station service system |
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|---|---|
| CN112116755B (en) | 2022-08-19 |
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