CN118278899B

CN118278899B - Method, system, electronic equipment and storage medium for safety control of gas gathering station

Info

Publication number: CN118278899B
Application number: CN202410692374.8A
Authority: CN
Inventors: 李文功; 吕冰; 王洪艳; 李政; 余斌; 李红叶
Original assignee: Micro Chain Beijing Technology Development Co ltd
Current assignee: Micro Chain Beijing Technology Development Co ltd
Priority date: 2024-05-31
Filing date: 2024-05-31
Publication date: 2024-08-06
Anticipated expiration: 2044-05-31
Also published as: CN118278899A

Abstract

A method, a system, electronic equipment and a storage medium for safety control of a gas gathering station relate to the field of gas gathering station management. In the method, when the first identity information of the target user corresponds to a reservation request, training content is determined according to the reservation request, and when the target user meets the inbound requirement, the target user is allowed to enter; when the first identity information corresponds to a bill request, acquiring second identity information according to a bill bar code, and when the first identity information is consistent with the second identity information in comparison, allowing the target user to enter the station when the target user meets the entering requirement; determining the rights corresponding to different areas in the gas gathering station through the current production state information, and judging whether the area passed by the motion trail of the target user accords with the rights corresponding to the target user or not; and when the region passed by the motion trail does not accord with the authority corresponding to the target user, alarming. By implementing the technical scheme provided by the application, the effect of improving the management efficiency is achieved.

Description

Method, system, electronic equipment and storage medium for safety control of gas gathering station

Technical Field

The application relates to the technical field of gas station management, in particular to a method, a system, electronic equipment and a storage medium for safety control of a gas station.

Background

The gas gathering station is used as a key node for natural gas collection and preliminary treatment, and the safety of the gas gathering station is important. With the progress of technology, the automation and intelligence level of the gas gathering station is gradually improved, but the safety management of personnel access still faces challenges. The traditional safety management method mainly relies on manual inspection and registration, and is low in efficiency and has the risk of human errors.

The existing gas station safety management system introduces a certain degree of automatic verification, but has obvious defects in the aspects of processing different user requests, monitoring user behaviors, managing authority and the like. For example, the processing flows of the reservation user and the bill holding user are not clearly distinguished, video monitoring is mostly used for post-retrospective but not real-time risk prevention and control, and a flexible and effective alarm mechanism is lacking.

Therefore, how to effectively improve the safety management level of the gas gathering station is a current problem to be solved.

Disclosure of Invention

The application provides a method, a system, electronic equipment and a storage medium for safety control of a gas collecting station, which effectively improve the safety management level of the gas collecting station.

In a first aspect of the present application, a method for security management and control of a gas gathering station is provided, which is applied to a gas gathering station management platform, where the gas gathering station management platform includes a barcode scanning unit, an identity recognition unit and a video monitoring unit, and the method includes:

Responding to the operation of clicking an external personnel button by a user, acquiring first identity information of a target user through an identity recognition unit, and determining whether an approved request corresponding to the first identity information is a reservation request or a bill request;

When the checked passing request corresponding to the first identity information is a reservation request, determining training content according to the reservation request, when the target user finishes training, judging whether the target user meets the inbound requirement through the video monitoring unit, and when the target user meets the inbound requirement, allowing the target user to enter;

When the checked passing request corresponding to the first identity information is a bill request and a bill bar code is scanned by the bar code scanning unit, acquiring second identity information according to the bill bar code, comparing the first identity information with the second identity information, judging whether the target user meets the inbound requirement by the video monitoring unit when the first identity information is consistent with the second identity information, and allowing the target user to enter the station when the target user meets the inbound requirement;

Determining the authorities corresponding to different areas in a gas gathering station through the current production state information, acquiring a motion trail of the target user through the video monitoring unit, and judging whether the area passed by the motion trail accords with the authorities corresponding to the target user;

and when the region passed by the motion trail does not accord with the authority corresponding to the target user, alarming.

By adopting the technical scheme, for the reservation request, the station entering is allowed after the target user finishes training by determining the training content in advance, so that the operator can have necessary skills and knowledge before entering the gas gathering station, and the working efficiency is improved. For bill request, the validity of the bill is rapidly verified through the bar code scanning unit and compared with the first identity information, so that the verification process is simplified, and the efficiency and convenience of the operation process are improved. And dynamically determining the rights of different areas in the gas gathering station according to the current production state information, so that the rights management is more flexible and meets the actual requirements. The video monitoring unit is used for judging whether the motion trail of the target user accords with the authority range of the target user in real time, and alarming and processing can be immediately carried out when illegal behaviors are found, so that the instantaneity and the effectiveness of authority management are ensured. When the region passed by the motion trail of the target user does not accord with the corresponding authority, the system can immediately give an alarm to inform the manager to take measures in time, so as to prevent potential safety accidents. This mechanism of timely alarm and quick response helps to reduce the likelihood of accidents and the severity of consequences, improving the level of safety management of the gas gathering station. Through optimizing the operation flow and reducing redundant operation, the efficiency and convenience of a user in entering the gas gathering station are improved, and the user experience is improved. Meanwhile, through a real-time video monitoring and alarming mechanism, the activities of the user in the gas gathering station are transparent and controllable, and the trust and satisfaction of the user on the safety management of the gas gathering station are enhanced.

Optionally, the determining, by the video monitoring unit, whether the target user meets an inbound requirement includes:

Acquiring a target image of the target user through the video monitoring unit, extracting hand motion characteristics, mouth motion characteristics, head clothes characteristics and foot clothes characteristics from the target image, and judging whether smoke exists in the target image;

And when smoke exists in the target image, and/or the hand action characteristics and/or the mouth action characteristics accord with preset action characteristics, and/or the head clothes characteristics and/or the foot clothes characteristics do not accord with preset clothes characteristics, determining that the target user does not accord with the inbound requirement.

By adopting the technical scheme, the characteristics of the hands, the mouths, the heads and the feet of the target user are extracted, and the gas station management platform can monitor and evaluate the behaviors and the states of the target user more carefully. Such careful monitoring helps to find potential safety hazards or violations. The hand motion features, mouth motion features, etc. can provide important information about the target user's operational behavior and communication status. By analyzing these features, the gas station management platform can more accurately determine whether the target user has abnormal behavior or improper operation. The extracted head apparel features and foot apparel features help identify the identity and type of the target user. This helps ensure that only those who meet regulations can enter a particular area, thereby enhancing safety precautions. By analyzing the target image, the gas station management platform can detect whether smoke exists in real time. The method has important significance for finding fire hidden danger and preventing fire accidents in time. Once smoke is found, the gas station management platform can immediately trigger an alarm to inform related personnel to take measures, so that the safety of the gas station is ensured. The method realizes real-time monitoring and abnormal behavior detection of the target user, and reduces the frequency and difficulty of manual inspection. Meanwhile, the efficiency and the accuracy of safety management are improved through an automatic and intelligent technical means.

Optionally, the determining the authority corresponding to the different areas in the gas gathering station according to the current production state information includes:

Constructing a model of the gas gathering station by a digital twin technology, and dividing corresponding authorities for each region in the model according to the importance degree;

acquiring current production state information in real time through a sensor, and judging whether data in the current production state information exceeds a corresponding first preset threshold value, wherein the current production state information comprises running state, gas flow, pressure and temperature information;

And when the data in the current production state information exceeds a corresponding first preset threshold value, adjusting the authority of the data corresponding region.

By adopting the technical scheme, the gas collecting station model constructed by utilizing the digital twin technology can accurately simulate the actual operation condition of the gas collecting station, and provides accurate basis for authority division. Rights are divided according to the importance degree of the region in the model, so that the key region can be ensured to be protected at a higher level. And acquiring production state information such as the running state, the gas flow, the pressure, the temperature and the like of the gas collecting station in real time through a sensor, and judging whether the data exceeds a preset threshold value or not. When abnormal data is found, the gas station management platform can immediately respond to adjust the authority of the corresponding area, and potential safety risks are prevented. The adjustment of the rights is not fixed but dynamically variable in accordance with the real-time production status information. The flexibility enables the gas station management platform to adapt to different conditions and ensures the safe operation of the gas station. The allocation of human resources and equipment resources can be reasonably optimized by adjusting the authority according to the production state information. When a key area needs higher authority, more resources can be quickly collected for guaranteeing; in a relatively safe area, the investment of resources can be reduced, and the utilization efficiency of the resources can be improved. When emergency situations occur, such as gas leakage, fire and the like, the gas collecting station management platform can rapidly adjust authority according to real-time production state information, and an emergency plan is started, so that personnel safety and stable operation of the gas collecting station are ensured.

Optionally, the modeling of the gas gathering station by digital twin technology includes:

Acquiring architecture data of a gas gathering station, and constructing a physical model of the gas gathering station according to the architecture data, wherein the architecture data comprises a physical structure and equipment configuration;

And acquiring operation data of the gas collecting station, and constructing a mathematical model of the gas collecting station according to the physical model and the operation data, wherein the operation data comprises gas flow, pressure change and temperature distribution.

By adopting the technical scheme, a highly realistic virtual environment is provided by utilizing a digital twin technology, and the actual running condition of the gas gathering station is simulated, so that a manager can perform various safety tests and risk evaluations in the virtual environment, thereby discovering potential safety hazards in advance and taking corresponding precautions. Meanwhile, abnormal conditions can be found out in time and processed by monitoring and predicting the running state of the gas collecting station in real time, so that the safety and reliability of the gas collecting station are improved. The gas collecting station model constructed by the digital twin technology can reflect the running state and performance of the gas collecting station in real time, and comprises key parameters such as gas flow, pressure change, temperature distribution and the like. This allows the manager to optimize the operation strategy of the gas station, such as adjusting gas flow, controlling pressure changes, etc., based on the data provided by the model to improve the operation efficiency and performance of the gas station. Meanwhile, equipment faults are predicted and diagnosed through the model, maintenance and repair work can be arranged in advance, and the influence of the faults on the operation of the gas gathering station is reduced. The gas gathering station model constructed by the digital twin technology can help management personnel to make more accurate decisions and plans. For example, during equipment purchasing and updating, the performance and applicability of different equipment can be evaluated according to the data provided by the model, and the equipment which is most suitable for the requirement of the gas gathering station is selected. In addition, the operation state of the gas gathering station is predicted and simulated through the model, potential risks and problems can be found in advance, corresponding countermeasures are formulated, and operation cost and risks are reduced. The gas gathering station model constructed by the digital twin technology has high visual characteristics, and can intuitively display the running state and key parameters of the gas gathering station. The management personnel can more conveniently know the operation condition of the gas gathering station, and can carry out decision support according to the data provided by the model. Meanwhile, through integration and interaction with other information systems, more comprehensive and efficient management and decision-making can be realized.

Optionally, the obtaining, by the video monitoring unit, the motion trail of the target user includes:

continuously acquiring a video stream of a monitoring area through the video monitoring unit, and identifying the target user from the video stream;

acquiring motion characteristics of the target user by using a target tracking algorithm, wherein the motion characteristics comprise position, speed and acceleration;

and combining the motion characteristics of the target user extracted at the continuous time points to form a motion track of the target user.

By adopting the technical scheme, the video stream is monitored in real time and the target user is identified, so that the gas station management platform can immediately respond to the action of the target user, and the real-time performance of safety monitoring is improved. The motion characteristics of the target user can be accurately extracted by using the target tracking algorithm, and an accurate motion track is formed, so that the accuracy of safety monitoring is improved. By tracking and analyzing the motion trail of the target user, the safety condition in the gas gathering station can be managed more finely. For example, whether the target user enters an unauthorized area can be judged according to the motion trail, so that corresponding security measures are adopted. After knowing the motion trail of the target user, security management resources, such as human resources, equipment resources, etc., can be allocated more effectively. For example, monitoring devices or patrol personnel are added in areas where the target user frequently passes. When the motion trail of the target user is abnormal, the gas station management platform can immediately give out early warning and inform relevant personnel to take countermeasures. This rapid early warning and response capability helps to reduce the occurrence of safety accidents. The technical process promotes innovation and application of technologies such as video monitoring and target tracking algorithms. With the continuous progress of the technology, the precision and efficiency of video monitoring and target tracking are further improved, and more reliable technical support is provided for the safety management of the gas gathering station.

Optionally, the determining whether the area passed by the motion trail meets the authority corresponding to the target user includes:

Converting a target position in the motion trail into coordinate representation, determining a target time point corresponding to the target position, and determining regional authority division corresponding to the target time point, wherein the target position is any position in the motion trail;

Determining a target authority corresponding to an area where the target position is located, and determining the target authority and the authority of the target user;

Determining a starting time point and a terminating time point of the target authority which is larger than the authority of the target user, calculating a first difference value between the terminating time point and the starting time point, and judging whether the first difference value is larger than a second preset threshold value or not;

And when the first difference value is larger than the second preset threshold value, determining that the area passed by the motion trail does not accord with the authority corresponding to the target user.

By adopting the technical scheme, the target position in the motion track is converted into the coordinate representation and is precisely matched with the regional authority division, so that the accuracy of authority control is ensured. It allows the gas station management platform to accurately identify whether the target user has entered an area outside of his rights. The real-time property and the dynamic property enable the gas station management platform to discover and respond to any possible illegal behaviors at the first time. When the gas station management platform finds that the movement track of the target user violates the right thereof, the gas station management platform can immediately trigger an early warning mechanism to inform relevant management personnel or automatically take safety measures. This fast response mechanism helps to reduce potential security risks. The gas station management platform can record information such as the motion trail, the violation time and the place of a target user in detail, and provides powerful evidence support for subsequent audit and investigation. This is critical to trace back and pinpoint the cause of the security event. By calculating the comparison of the violation time (first difference value) and the preset threshold (second preset threshold), the gas station management platform can flexibly process different degrees of violation behaviors. For example, different thresholds may be set to distinguish between minor and severe violations and corresponding handling actions may be taken. The manual monitoring requirement is reduced, the labor cost is reduced, and the safety management efficiency and accuracy are improved. The safety management of the gas gathering station is more intelligent, automatic and efficient.

Optionally, the method further comprises:

judging whether outbound information of the target user exists or not;

When the outbound information of the target user does not exist, acquiring the current moment, the inbound time point of the target user and the time length of the target user allowed to stay, calculating a second difference value between the current moment and the inbound time point of the target user, and judging whether the second difference value is larger than the time length of the target user allowed to stay;

And when the second difference value is larger than the duration of the stay permitted by the target user, prompting the target user that the stay time is too long to the staff.

By adopting the technical scheme, whether the target user has outbound information is checked to automatically judge whether the target user has normally left. The automatic checking process reduces the need for manual monitoring and improves the efficiency of safety management. When the gas station management platform finds that the target user does not have outbound information and the residence time exceeds the allowable duration, the potential safety risk can be identified in real time. This helps staff to take timely measures to ensure the safety of the gas gathering station. Once it is determined that the target user has too long a stay time, the gas station management platform can immediately give a prompt to the staff. The quick response mechanism can ensure timely intervention of staff and avoid potential safety accidents. By analyzing the stay time and the outbound condition of the target user, the gas station management platform can provide data support for the safety management of the gas station. This helps the management layer optimize the resource allocation according to the actual requirements, such as adjusting patrol frequency, adding monitoring devices, etc. While primarily from a security management perspective, such automatic monitoring and prompting mechanisms also help to avoid unnecessary confusion for the target user. For example, if the target user fails to exit in time for some reason, the gas station management platform may alert personnel to assist in their departure, thereby enhancing the user experience.

In a second aspect of the application, a system for safety control of a gas gathering station is provided, which is characterized by comprising a request module, a reservation module, a bill module, a track module and an alarm module, wherein:

The request module is configured to respond to the click of an external personnel button operation by a user, acquire first identity information of a target user through the identity recognition unit, and determine whether an approved request corresponding to the first identity information is a reservation request or a bill request;

the reservation module is configured to determine training content according to a reservation request when the checked passing request corresponding to the first identity information is the reservation request, judge whether the target user meets the inbound requirement through the video monitoring unit when the target user finishes training, and allow the target user to enter when the target user meets the inbound requirement;

The bill module is configured to acquire second identity information according to the bill bar code when the checked passing request corresponding to the first identity information is a bill request and the bill bar code is scanned by the bar code scanning unit, compare the first identity information with the second identity information, judge whether the target user meets the inbound requirement through the video monitoring unit when the first identity information is consistent with the second identity information, and allow the target user to inbound when the target user meets the inbound requirement;

The track module is configured to determine the authorities corresponding to different areas in the gas gathering station through the current production state information, acquire the motion track of the target user through the video monitoring unit, and judge whether the area through which the motion track passes accords with the authorities corresponding to the target user;

And the alarm module is configured to alarm when the region through which the motion trail passes does not accord with the authority corresponding to the target user.

In a third aspect the application provides an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface, both for communicating with other devices, the processor being for executing instructions stored in the memory to cause the electronic device to perform a method as claimed in any one of the preceding claims.

In a fourth aspect of the application there is provided a computer readable storage medium storing instructions which, when executed, perform a method as claimed in any one of the preceding claims.

In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:

1. Through integrating a plurality of technical means such as bar code scanning, identity recognition and video monitoring, the safety management of the gas gathering station can be ensured to be more comprehensive and careful. The method can track the identity information and the motion trail of the target user in real time, so that potential safety risks can be found in time;

2. Personnel who have passed ticket approval do not need to conduct visitor reservation operation according to the requirement of an access control system when entering a station, so that the management efficiency is improved; by comparing the first identity information with the second identity information on the bill, the identity of the target user can be ensured to be true and reliable, and unauthorized personnel can be prevented from entering the gas collecting station;

3. the reservation request can automatically determine the training content, and after the target user finishes training, the target user judges whether the target user meets the inbound requirement through video monitoring, so that the target user is helpful to ensure that all inbound personnel have necessary knowledge and skills, the interference of human factors is reduced, and the working efficiency is improved;

4. The permission of different areas is determined according to the current production state information, and the movement track of the target user is monitored in real time, so that the target user can be ensured to only access the areas in the permission. This helps to prevent unauthorized personnel from entering the sensitive area, protecting the gas station from safety and stability;

5. When the motion trail of the target user does not accord with the authority of the target user, the gas station management platform can immediately give an alarm, and the timely alarm mechanism can ensure that staff responds quickly and take necessary measures to prevent potential safety accidents.

Drawings

FIG. 1 is a flow diagram of a method for security management and control of a gas gathering station according to an embodiment of the present application;

FIG. 2 is a schematic flow diagram of security control for an out-going station of a gas gathering station in accordance with an embodiment of the present application;

FIG. 3 is a schematic illustration of an access management of a gas station management platform according to an embodiment of the present application;

FIG. 4 is a schematic block diagram of a system for gas station security management and control in accordance with an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Reference numerals illustrate: 401. a request module; 402. a reservation module; 403. a bill module; 404. a track module; 405. an alarm module; 501. a processor; 502. a communication bus; 503. a user interface; 504. a network interface; 505. a memory.

Detailed Description

In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.

In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.

In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

The embodiment discloses a method for safety control of a gas gathering station, which is applied to a gas gathering station management platform, wherein the gas gathering station management platform comprises a bar code scanning unit, an identity recognition unit and a video monitoring unit, and fig. 1 is a flow chart diagram of the method for safety control of the gas gathering station disclosed by the embodiment of the application, as shown in fig. 1, and comprises the following steps:

S110, responding to the click of an external personnel button operation by a user, acquiring first identity information of a target user through an identity recognition unit, and determining whether an approved request corresponding to the first identity information is a reservation request or a bill request;

When an external person wants to enter the gas gathering station, the external person button on the gas gathering station management platform can be clicked, and at the moment, the identity recognition unit can acquire the first identity information of the target user in a scanning, reading or inputting mode and the like. This typically includes the user's identity document information (e.g., identification card, driver's license, passport, etc.), employee information, employee number, etc. This information can uniquely identify a user and serve as a basis for subsequent authentication. After the first identity information of the target user is obtained, the gas station management platform can search the database for the checked passing request associated with the user. These requests are typically submitted through a staging platform before the user attempts to enter the staging. After the inspected pass requests of the target user are retrieved, the gas station management platform analyzes the types of the requests. Request types are generally classified into two types: reservation requests and ticket requests. The reservation request is a request for a user to reserve access to the gas station in advance through the gas station management platform. The reservation request generally contains information such as identity information, access time, access destination, etc. of the user. The gas station management platform will arrange corresponding training and inbound procedures for the user based on the information. A ticket request is a request for a user to hold a particular ticket to access a gas station. The bill will generally contain information such as identity information, bill number, expiration date, etc. of the user. Users need to present these tickets upon entering the gas station to prove their identity and authority. After determining the request type, the system also verifies whether the status of the request is "checked pass". Only requests that are audited and confirmed as error-free are considered valid and the user is allowed to perform corresponding inbound operations based on the request type. If any abnormality or error is found in the process of searching, judging or verifying (such as that the checked request is not found, the request state is incorrect, the identity information is inconsistent, etc.), the gas collecting station management platform displays a corresponding error prompt to the user and refuses the incoming request of the user. At the same time, the gas station management platform may also record such anomaly information for subsequent analysis and processing.

S120, when the checked passing request corresponding to the first identity information is a reservation request, determining training content according to the reservation request, when the target user finishes training, judging whether the target user meets the inbound demand through the video monitoring unit, and when the target user meets the inbound demand, allowing the target user to enter;

The gas station management platform confirms that the first identity information of the target user matches the checked reservation request, which it will further process. Based on the information in the reservation request, the gas station management platform may determine the training content associated with the request, and this step may be skipped if the target user has been previously trained. The training content may include safety practices, countermeasures in emergency situations, methods of operating specific equipment, and the like. These training efforts are intended to ensure that the user is aware of the safety requirements and operating procedures of the gas gathering station so that it can work safely and efficiently within the station. The gas station management platform will present the determined training content to the target user. This may include forms of online courses, video courses, text guides, or on-site training. The user needs to complete training according to the gas station management platform instructions. After the user finishes training, the gas station management platform further judges the target user through the video monitoring unit. The video monitoring unit captures images and actions of the user in real time and analyzes them. The gas station management platform may determine whether the user meets the inbound requirement according to preset rules and criteria. These rules and criteria may include the user's clothing, behavior, whether to carry contraband, etc. For example, the gas station management platform may check whether the user is wearing a hood and shoes, wearing a compliant garment, or carrying flammable and explosive items, etc. If the inbound requirement is met: the gas station management platform will send an inbound grant signal to the user, allowing it to enter the gas station. At the same time, the gas station management platform may record the arrival time of the user and other relevant information for subsequent tracking and management. If the inbound requirement is not met: the gas station management platform can display prompt information for refusing to enter the station to the user and explain specific reasons of unsatisfactory conditions. The user needs to make corresponding adjustments or re-apply for the inbound permission based on the prompt.

The video monitoring unit captures a real-time video stream of a target user and extracts one or more frames of images therefrom as target images. Hand motion characteristics: the gas station management platform uses an image recognition algorithm to recognize the hand movements of the target user in the target image. For example, the system may detect whether there is a smoking action (e.g., a finger holding a butt, a finger approaching the mouth, etc.). Mouth motion characteristics: likewise, the staging platform may use image recognition algorithms to identify whether the target user is performing mouth movements (e.g., spit-up, puff, etc.) related to smoking. Head apparel characteristics: the gas station management platform analyzes head clothes of a target user in the target image, such as wearing conditions of a work cap, whether long hair is unbeamed or not, and other characteristics which do not meet safety regulations. Foot apparel features: the air station management platform may also focus on the foot apparel of the target user, such as whether or not a prescribed anti-static shoe or other safety shoe is worn. Smoke detection: and the gas station management platform analyzes the target image by using a smoke detection algorithm and judges whether smoke exists. This typically involves techniques such as colour analysis, texture analysis and dynamic analysis to distinguish smoke from other elements in the image. If smoke is present in the target image, the gas station management platform immediately considers the target user not to meet the inbound demand, as this may mean that the user smokes in the station, with serious safety implications. If the hand motion characteristics or the mouth motion characteristics of the target user accord with the preset smoking motion characteristics, even if smoke is not directly displayed in the image, the gas station management platform can also consider that the user is likely to smoke, so that the gas station management platform also does not accord with the inbound requirement. If the target user's head apparel or foot apparel characteristics do not meet preset apparel characteristics (e.g., not wearing a hood, wearing a non-antistatic shoe, etc.), the target user is also considered to be non-compliant with the inbound demand. If there is no such problem, the gas station management platform will consider the target user to be in compliance with the inbound demand and allow it to enter the gas station. If the gas gathering station management platform judges that the target user does not meet the inbound demand, the gas gathering station management platform can immediately send alarm information to staff and provide images and judgment basis for the target user. At the same time, the gas station management platform may inform the target user of the reasons for non-compliance with the inbound call by voice prompts or other means. If the target user meets the inbound demand, the gas station management platform records the relevant information and allows the target user to enter the gas station normally. In order to ensure the accuracy of judgment, the gas station management platform needs to be calibrated and updated regularly to adapt to the image characteristics under different light rays, angles and environments. Meanwhile, in order to reduce misjudgment on users, the gas station management platform can set a certain fault tolerance rate and allow workers to perform manual intervention and rechecking. In practical application, other sensor data (such as smoke alarms, temperature sensors and the like) can be combined to further improve the judgment capability and accuracy of the system.

The video monitoring unit is used for monitoring the behaviors and clothes of the target user in real time, so that potential safety hazards can be found in time. The comprehensive safety inspection mode can ensure that only users meeting regulations and having no potential safety hazard can enter the gas collecting station, thereby improving the safety of the whole gas collecting station. Through technologies such as image recognition, feature extraction and action analysis, the gas station management platform can automatically judge whether the behaviors and the decorations of the target user meet the requirements, and the needs of manual intervention and judgment are reduced. The automatic and intelligent checking mode not only improves the working efficiency, but also reduces errors and omission possibly caused by human factors. For the user meeting the requirements, the video monitoring unit can be used for rapidly and accurately checking, so that the waiting time can be shortened, and the inbound efficiency can be improved. Meanwhile, the reasons which do not meet the requirements are informed through prompts or voices, so that a user can be helped to know and correct the problems in time, and user experience is improved. The gas station management platform can automatically record the result and data of each inspection, including images, behavioral characteristics, clothing characteristics, and the like of the target user. The data can be used for subsequent analysis and evaluation to know the behavior mode and the safety condition of the inbound user, and scientific basis is provided for the safety management of the gas gathering station.

S130, when the checked passing request corresponding to the first identity information is a bill request and a bill bar code is scanned by a bar code scanning unit, acquiring second identity information according to the bill bar code, comparing the first identity information with the second identity information, and when the first identity information is consistent with the second identity information, judging whether the target user meets the inbound requirement through the video monitoring unit, and when the target user meets the inbound requirement, allowing the target user to enter the station;

The bill is provided, the explanation must be checked through the platform, and if the bill is provided, the entering event must be special operation, and special operation safety protocol training is required. It is checked whether the first identity information is associated with the checked-through ticket request. If the matching is successful, the user is informed to hold the effective bill and is authorized to use the bill for identity verification. The user needs to place the ticket in front of the barcode scanning unit or scan the barcode on the ticket by a scanning function on the mobile device. The bar code scanning unit reads information in the bar code and transmits the information to the system for processing. The gas station management platform extracts second identity information and inbound transactions from the scanned bar code. The second identity information is typically user information associated with the ticket, such as name, identification number, ticket number, etc. These information are used for comparison with the first identity information. The gas station management platform compares the first identity information with the second identity information. The content of the comparison may include key information such as name, identification card number, etc. The gas station management platform will check whether this information is completely consistent to ensure the authenticity of the user's identity. If the first identity information and the second identity information are compared and consistent, the fact that the bill held by the user is valid is indicated, and the user is consistent with the information on the bill. At this time, the gas station management platform can consider that the user passes the identity verification, at this time, whether the user is trained according to the inbound events is judged, if the user is trained correspondingly, whether the user meets the inbound requirements is judged, and if the user meets the inbound requirements, the user is allowed to enter the station. The gas station management platform may record the user's time of arrival and other relevant information for subsequent tracking and management. If the first identity information and the second identity information are inconsistent in comparison, the fact that the user possibly holds a forged bill or the bill information is tampered is indicated. At this point, the gas station management platform may refuse the user to enter the station and may trigger an alarm or notify personnel for further processing. The gas station management platform feeds back the authentication result to the user. If the verification is passed, the user can continue the inbound flow; if the verification fails, the gas station management platform may prompt the user to rescan the ticket or contact staff to assist. When an external person enters the station, the face information of the external person is acquired, and preparation is made for track identification in the station through the video monitoring unit. The gas station management platform can count the number of people going in and out of the station today in real time and display the number of people before going in the station.

Responding to the operation of clicking an internal personnel button by a user, automatically acquiring the information of an inbound personnel through face recognition or card swiping recognition, judging whether a target user meets the inbound requirement through a video monitoring unit, and when the target user meets the inbound requirement, if the target user meets the inbound requirement, the video recognition wears a worker cap, does not have smoking behaviors, carries out relevant safety training, and opens an entrance guard when the condition is met, so that the inbound is allowed.

S140, determining the rights corresponding to different areas in the gas gathering station through the current production state information, acquiring the motion trail of the target user through the video monitoring unit, and judging whether the area through which the motion trail passes meets the rights corresponding to the target user;

Production status information for a gas gathering station typically includes the operational status of the equipment, the progress of the process flow, the level of safety, etc. This information is critical to determining access rights for different areas. The gas gathering station is divided into different areas such as a control room, an equipment area, a gas storage area, a maintenance area and the like. Each region has its specific functions and safety requirements. Based on the current production state information, the gas station management platform sets corresponding access rights for each region. For example, during equipment maintenance, an equipment area may only be allowed access by certain maintenance personnel; while in normal production conditions a higher level of security may be required to gain access to the control room. The video monitoring unit is a key device for acquiring the motion trail of the target user in real time. These units are typically mounted at the corners of the gas station and can cover a large portion of the area of the gas station. The video monitoring unit can identify the motion trail of the target user by capturing and analyzing the image information. This typically involves advanced techniques such as image recognition, object tracking, etc. After the motion trail of the target user is acquired, the gas station management platform records the data and associates the data with the identity information of the user. After the motion trail of the target user is obtained, the gas station management platform compares the motion trail with the authority corresponding to the user so as to judge whether the gas station management platform meets the requirements. And the gas station management platform retrieves corresponding authority information according to the identity information of the target user. And the gas station management platform compares the motion trail of the target user with the accessible region in the authority. If the motion trail only passes through the area which is allowed to be accessed, the motion trail is considered to meet the authority requirement; if the motion profile passes through the area where access is prohibited, an alarm is triggered.

Digital twinning is a method of creating an exact copy of a physical system in a virtual environment. In the gas gathering station, a virtual model corresponding to the real gas gathering station can be constructed through a digital twin technology. This model contains the key components of the various areas, equipment, piping, etc. of the gas gathering station, as well as their interrelationships and dynamic behavior. In the digital twin model, corresponding authorities are divided for each region according to factors such as importance degree, functional requirements, safety risks and the like of the region. These rights may include access rights, operational rights, data viewing rights, and the like. The division of rights should follow the security regulatory provisions and operating specifications of the gas station to ensure that only authorized personnel can access and operate a particular area. In the gas gathering station, various sensors are deployed to monitor critical production state information such as operating state, gas flow, pressure, temperature and the like in real time. These sensors transmit real-time data through a data acquisition system to the management system of the gas gathering station. The management system receives the data transmitted by the sensor and then immediately analyzes and judges the data. The staging platform checks whether each data item exceeds a corresponding first preset threshold. The first preset threshold is set based on factors such as safety operating regulations, equipment performance parameters, historical data and the like of the gas gathering station. When the data exceeds a threshold, it may mean that a malfunction of the apparatus, a safety hazard or abnormal production occurs. When the management system detects that the data in the current production state information exceeds the corresponding first preset threshold value, the authority of the corresponding area of the data can be automatically adjusted according to preset rules and logic. Specific adjustment modes may include: unauthorized persons are prohibited from entering the area to ensure security; limiting the operation authority of the regional equipment to prevent misoperation or further worsening condition; changing the data viewing rights allows only specific personnel to view and analyze the relevant data. At the same time of authority adjustment, the management system sends alarm notification to related personnel to remind the related personnel of the current abnormal production state. The related personnel can take countermeasures according to the alarm information, such as starting an emergency plan, organizing maintenance personnel to carry out maintenance, and the like.

The current production state information of the gas collecting station is acquired in real time through the sensor, and the gas collecting station management platform can immediately respond to any abnormal situation. Once the data is detected to exceed the preset threshold, the gas station management platform can rapidly adjust the authority of the corresponding area, and safe and stable operation of the gas station is ensured. The gas gathering station model constructed based on the digital twin technology can divide different authorities according to the importance degree of each region. The refined authority management can effectively prevent unauthorized people from entering a key area, and reduce security accidents caused by human factors. The gas gathering station management platform can discover potential safety hazards or equipment faults in advance through monitoring and analyzing production state information in real time. By adjusting the rights of the relevant area, the potential risk can be prevented from expanding and the necessary data support can be provided for repair and maintenance work. The application of digital twin technology and sensor technology enables the management of the gas gathering station to be more intelligent and automatic. The gas station management platform can automatically complete tasks such as data collection, analysis and authority adjustment, reduces the possibility of manual intervention and misoperation, and improves management efficiency. With the continuous progress of the operation of the gas gathering station and the accumulation of data, the gas gathering station management platform can continuously optimize and improve rules of authority division and threshold setting. This continuously improved mechanism helps to improve the safety and operational efficiency of the gas gathering station.

In the first step of constructing a digital twin model, detailed architecture data of the gas gathering station needs to be acquired. Such data typically includes the physical structure and equipment configuration of the gas gathering station. The physical structure data describes the layout of the gas gathering stations, the location of the building, the layout of the piping and equipment, etc. Such data may be from CAD drawings, 3D scans, measurements or existing GIS (geographic information system) data. They provide the physical framework for the gas gathering station for the digital twinning model. The equipment configuration data relates to specifications, models, parameters, etc. of various equipment used in the gas gathering station. This includes details of the compressor, valves, sensors, controllers, etc. These data are critical to the operation and performance of the analog device. When the architecture data of the gas gathering station is obtained, the construction of the physical model thereof can be started. The physical model is the basis of a digital twin model, which accurately represents the physical structure and equipment configuration of the gas gathering station. The physical structure data of the gas gathering station can be converted into a 3D model using CAD or BIM (building information model) software. This model can accurately represent the layout of the gas gathering stations, the appearance and location of the building and equipment. In addition to the overall structure, a detailed model needs to be created for each device. These models include the geometry, size, manner of connection, manner of operation, etc. of the device. These models will be used for subsequent simulation and analysis. In addition to static architecture data, operational data of the gas gathering station needs to be acquired in order to build a mathematical model thereof. The operational data describes the dynamic behavior of the gas station in actual operation. The gas flow data includes the flow rate, direction, etc. of the gas in the conduit. Such data may be obtained by sensors such as flow meters, pressure gauges, and temperature sensors mounted on the pipe. Pressure and temperature profile data describe pressure and temperature variations at various locations within the gas gathering station. These data are critical to understanding the operational status and performance of the gas gathering station. They can be monitored and recorded in real time by sensors mounted at strategic locations. And constructing a mathematical model of the gas gathering station according to the physical model and the operation data. The mathematical model is a mathematical description of the operation of the gas station and is used to simulate and analyze the performance of the gas station. Dynamic models of gas gathering stations can be built using principles such as fluid dynamics, thermodynamics, and control system theory. The model can simulate the dynamic behaviors of gas flow, pressure change, temperature distribution and the like in the pipeline. Parameters in the mathematical model are typically associated with equipment and operational data in the physical model. By adjusting the parameters, the operation condition of the gas gathering station under different working conditions can be simulated. After the mathematical model is built, the actual operation data is required to be used for verification. By comparing the simulation results with the actual data, the accuracy of the model can be evaluated and the necessary optimization performed.

By integrating the physical structure and equipment configuration data of the gas gathering station, a physical model of the gas gathering station can be quickly and accurately constructed. This helps to find and solve potential problems during the design phase, avoiding design errors during actual construction or operation. The accurate physical model also makes the subsequent analysis and optimization work more efficient, since all analysis and simulation are based on one accurate base model. The mathematical model constructed based on the physical model and the operation data can simulate the operation state of the gas collecting station in real time, including gas flow, pressure change, temperature distribution and the like. Therefore, a manager can know the operation condition of the gas gathering station in real time and discover potential problems in time. The mathematical model can also be used for prediction analysis, predicts the running state of the gas gathering station and possible problems in a future period of time, and provides powerful support for management decisions. By simulating the operation conditions of the gas collecting station under different working conditions, the optimal operation parameters and strategies can be found out, and the operation efficiency and the safety of the gas collecting station are improved. In terms of maintenance, the digital twin model can help predict the maintenance period and possible faults of equipment, and make a maintenance plan in advance, so that the unplanned downtime is reduced, and the reliability and the service life of the equipment are improved.

The gas station is internally provided with a plurality of video monitoring units which can continuously capture video streams of a monitoring area. The video stream is transmitted to a monitoring center through a network, and basic data is provided for subsequent target user identification and motion trail extraction. After the video stream is acquired, image processing and artificial intelligence techniques are required to identify the target user. Specific: extracting background images of a monitoring area from a video stream, wherein the background images can be realized by methods of multi-frame image accumulation averaging, variance or histogram, and the like, and the background extraction precision is critical to the subsequent target user identification; after the background image is obtained, the gas station management platform carries out differential operation on the current frame and the background image so as to detect a moving target, and in the process, noise and tiny movement change can be filtered through setting a threshold value, and only a remarkable moving target is reserved; after a moving target is detected, the gas station management platform confirms the identity of the target user by using face recognition or other biological feature recognition technologies, which generally involves comparing the target in the current frame with a database of known target users, and after the target user is identified, the gas station management platform acquires the moving features thereof by using a target tracking algorithm, wherein the features generally comprise position, speed, acceleration and the like, the gas station management platform initializes a tracker when the target user first appears, and the tracker establishes a model according to the features of the appearance, color, texture and the like of the target; after initializing the tracker, the gas station management platform continuously tracks the target user in subsequent frames, which generally involves matching characteristic points of the target between adjacent frames, and calculating a motion track of the target according to the position change of the points, wherein during tracking, the gas station management platform calculates the motion characteristics of the position, the speed, the acceleration and the like of the target user in real time, and the characteristics are used for subsequent analysis and processing; combining the motion characteristics of the target user extracted at the continuous time points to form a motion trail; after the motion characteristics of the target user at different time points are obtained, the gas station management platform combines the characteristics to form a complete motion track of the target user, and the track usually takes a time axis as a reference to show the position change and the motion state of the target user in a certain time range. By analyzing the track, a manager can know the activity condition of the target user in the gas gathering station, so as to judge whether the target user has abnormal behaviors or potential safety hazards.

The video monitoring unit can continuously acquire video streams of the monitoring area and identify target users in real time. The manager can monitor the activity condition in the gas gathering station in real time, and can respond quickly once abnormal conditions or potential safety hazards are found, so that corresponding measures can be taken. The accuracy and reliability of identification can be ensured by using image processing and artificial intelligence techniques to identify the target user from the video stream. This helps to avoid false positives and false negatives, and improves the accuracy of management. Through a target tracking algorithm, the gas station management platform can acquire the motion characteristics of a target user, including position, speed, acceleration and the like. These detailed movement features provide an important basis for analyzing the user's behavioral patterns and judging potential risks. And combining the motion characteristics of the target user extracted from the continuous time points to form a complete motion trail. This helps the manager to fully understand the activities of the user in the gas station, including their travel path, residence time, range of activity, etc. By analyzing these trajectories, the manager can discover potential safety hazards or violations and take timely action to intervene. Through real-time monitoring, accurate target user identification, detailed motion feature extraction and comprehensive motion trail analysis, the process can remarkably improve the management efficiency and safety of the gas gathering station. The manager can more accurately master the dynamic condition in the gas gathering station, discover and solve the problems in time, and reduce potential safety risks.

The motion trail of the target user acquired by the video monitoring unit is usually stored in an image or video form, and the target position in the trail needs to be converted into coordinate representation. This typically involves techniques such as image recognition, object tracking, etc., to accurately extract the location information of the target user. It is necessary to determine a target time point corresponding to each target position. This may be achieved by time stamping of the video stream or a time synchronization mechanism internal to the system. In a gas gathering station, different areas typically have different rights requirements. For example, certain areas may only allow access to certain levels of staff, or certain areas may be prohibited from access for certain periods of time. Therefore, it is necessary to define the authority division of each area in advance and store it in the system. After the target position and the time point are determined, the gas station management platform needs to inquire the authority requirements of the area where the target position is located at the time point. The gas station management platform needs to determine the target authority of the area where the target position is located. This typically includes information of the lowest permission level to access the area, the time period for which access is allowed, etc. The gas station management platform needs to acquire the authority information of the target user and compares the authority information with the target authority of the area where the target position is located. This may be achieved by querying a user database or rights management system. If the rights of the target user are found to be lower than the rights requirements of the target location, the gas station management platform needs to further determine whether the residence time of the user in the area exceeds an allowable timeout threshold. This typically involves calculating a start time point and an end time point of the target user at the area and calculating a time difference (i.e., a first difference) between the two. This first difference is compared with a preset timeout threshold (i.e. a second preset threshold). This timeout threshold may be set according to the actual situation, and may be, for example, several minutes, several hours, or the like. If the first difference value is larger than a second preset threshold value, namely the residence time of the target user in the area exceeds an allowable overtime threshold value, the gas station management platform judges that the area passed by the movement track does not accord with the authority corresponding to the target user. In this case, the gas station management platform may trigger an alarm mechanism informing the manager to proceed with the process. For example, the alarm information may be sent to the manager by means of sound, light, short message or mail, etc.

By converting the target position in the motion trail into a coordinate representation and combining with the time point and the regional authority division, the gas station management platform can accurately judge whether the target user enters the region beyond the authority range. This accuracy is critical to ensuring the safety of the gas gathering station. The gas station management platform can continuously monitor the motion trail of the target user and immediately trigger an alarm when an abnormality is found, so that the gas station management platform has high real-time performance. This helps to find and solve problems at the first time, reducing potential safety risks. By setting different regional authority division and authority levels, the gas station management platform can adapt to the requirements and scenes of different users. Meanwhile, the gas station management platform also allows an administrator to adjust parameters such as a timeout threshold value and the like according to actual conditions so as to meet different safety requirements. By automatically judging whether the motion trail of the target user accords with the authority of the target user, the gas station management platform can reduce the workload of an administrator and improve the management efficiency. The administrator may be more focused on handling the abnormal situation rather than spending a significant amount of time manually monitoring and judging. By timely finding and preventing the target user from entering the area beyond the authority range, the gas station management platform can obviously reduce potential safety hazards in the gas station. This helps to protect equipment and personnel from potential accidents and losses.

And S150, when the region through which the motion trail passes does not accord with the authority corresponding to the target user, alarming.

When the motion trail of the target user is found to be out of compliance with the authority requirements, the gas station management platform can immediately trigger an alarm to inform management personnel and security personnel.

Optionally, the method further comprises:

judging whether outbound information of the target user exists or not;

After the target user enters the gas station, the gas station management platform records the arrival time point of the target user. When the target user leaves the staging station, the staging station management platform should be able to capture and record its outbound information. In order to monitor the residence time of a target user, it is first necessary to determine whether there is outbound information for the user. The gas station management platform may periodically or in real-time query the outbound records of the target user. If an outbound record is queried, indicating that the target user has left the gas station, no further dwell time determination is necessary. If no outbound records are queried, the staging platform will proceed with the next dwell time calculation. When there is no outbound information for the target user, the gas station management platform needs to calculate whether the residence time of the user exceeds the allowable range. The gas station management platform acquires the current moment and records the arrival time point of the target user. The time difference between the current time and the inbound time point, i.e. the second difference, is calculated. This time difference represents the residence time of the target user within the gas station. The gas station management platform needs to compare the calculated residence time with the length of time that the target user is allowed to stay. The gas station management platform will query or obtain the duration limit that the target user is allowed to stay within, typically set according to the user's permission level, work requirements, or security regulations of the gas station. If the calculated residence time (second difference) exceeds the allowable residence time, the gas station management platform will consider the target user to be too long. When the residence time of the target user is determined to be too long, the gas station management platform needs to take appropriate measures to notify the staff. The gas station management platform can send alarm or prompt information to staff in the modes of sound, light, mail, short message and the like. The prompt information contains key information such as the identity, the residence time, the location and the like of the target user, so that the staff can quickly know the situation and take corresponding measures.

By automatically judging whether the target user has outbound information and calculating whether the residence time of the target user exceeds the allowable duration, the gas station management platform can quickly identify possible safety risks. The automatic management mode can greatly lighten the pressure of staff and improve the efficiency of safety management. The gas station management platform can acquire the arrival time point and the current moment of the target user in real time, and immediately calculate the residence time. Once the residence time of the target user is found to be too long, the gas station management platform can immediately give a prompt to staff, so that the problem is ensured to be solved in time. A target user who stays within the gas station for a long period of time may mean that there is some sort of abnormal condition, such as equipment failure, physical discomfort or illegal operation, etc. Through timely suggestion staff, the gas station management platform can help preventing potential security risk, avoids the emergence of accident. The target user residence time data recorded by the gas station management platform can provide valuable information to the manager. By analyzing the data, a manager can know the behavior mode of the target user, discover potential safety hazards and formulate a more reasonable safety management strategy according to the potential safety hazards.

Fig. 2 is a schematic flow chart of safety control of an outbound station of a gas station according to an embodiment of the present application, and as shown in fig. 2, the flow chart of safety control of an outbound station of a gas station specifically includes: step 201, entering an operation area for incoming report by an external person; step 202, a dispatcher verifies whether to admit or not; when the station is not in the station, executing step 203 to inform the station that the station is not in the station; when the station is quasi-inbound, executing step 204, and inputting external inbound personnel information by the platform; step 205, clicking an inbound register before an external person arrives at the on-site management and control terminal; step 206, identifying the number of personnel by the AI identification camera on the terminal; step 207, the inbound personnel swipe the identity card or enter information; step 208, confirming whether the number of the personnel entering the information is consistent with the number of the identified personnel, if not, executing step 203, and if so, executing step 209, confirming whether the personnel is ready and admitting to the station; when the personnel is not ready and/or not accurate, executing step 203, when the personnel is ready and is admitted to the station, executing step 210, judging whether the personnel is effectively trained, and when the personnel is not effectively trained, executing step 211, playing training video content at the terminal according to the incoming event, and executing step 210 again; when the personnel are effectively trained, executing step 212, identifying whether personnel wearing specifications and behavior specifications meet inbound requirements, when the personnel wearing specifications and behavior specifications do not meet the inbound requirements, executing step 213, rectifying the wearing specifications and the behavior specifications, executing step 212 again, and when the personnel wearing specifications and the behavior specifications meet the inbound requirements, executing step 214, reminding inbound, opening an entrance guard and counting the information of the inbound personnel. When a person goes out, executing step 215, swiping a card or inputting identity information through the out-of-station terminal equipment, and clicking out the station; step 216, confirming whether the person is a compliance inbound person, if not, executing step 217 to prompt that outbound is not allowed, and if so, executing step 218 to remind the outbound, opening the entrance guard and recording the outbound time; step 219, judging whether all the people in the associated worksheets of the outbound personnel are outbound, if yes, executing step 220, judging whether the stay time of the personnel exceeds the specified time length or not, if not, executing step 221, executing step 222, judging that the worksheet state is incomplete, if yes, executing step 223, marking the overtime state, and generating the hidden danger worksheet; step 224, prompting the manual processing of the hidden danger work order.

Fig. 3 is an in-out management schematic diagram of a gas station management platform disclosed in the embodiment of the present application, as shown in fig. 3, a gas station management platform 301 includes an in-out access control terminal 302, an out-out access control terminal 303, an automatic identification terminal 304 and an AI identification system 305, the AI identification system 305 includes an identification camera 308, where the in-out access control terminal 302 is used for executing step 306 and in-out registration management of external personnel, the automatic identification terminal 304 is used for executing step 307, internal personnel card swiping, face identification and identity card swiping to identify identity, and the gas station management platform 301 can execute step 309, voice report and step 310 and control access.

The embodiment also discloses a system for controlling the safety of the gas gathering station, and fig. 4 is a schematic diagram of the system for controlling the safety of the gas gathering station disclosed in the embodiment of the application, as shown in fig. 4, the system comprises a request module 401, a reservation module 402, a bill module 403, a track module 404 and an alarm module 405, wherein:

a request module 401, configured to respond to an external personnel button operation clicked by a user, obtain first identity information of a target user through an identity recognition unit, and determine whether an approved request corresponding to the first identity information is a reservation request or a ticket request;

The reservation module 402 is configured to determine training content according to a reservation request when the checked passing request corresponding to the first identity information is the reservation request, determine whether the target user meets an inbound demand through the video monitoring unit when the target user completes training, and allow the target user to inbound when the target user meets the inbound demand;

a bill module 403, configured to obtain second identity information according to the bill barcode when the checked passing request corresponding to the first identity information is a bill request and the barcode scanning unit scans the bill barcode, compare the first identity information with the second identity information, and when the first identity information is consistent with the second identity information, judge whether the target user meets the inbound requirement through the video monitoring unit, and when the target user meets the inbound requirement, allow the target user to inbound;

The track module 404 is configured to determine rights corresponding to different areas in the gas gathering station according to the current production state information, acquire a motion track of the target user through the video monitoring unit, and determine whether the area through which the motion track passes meets the rights corresponding to the target user;

and the alarming module 405 is configured to alarm when the area through which the motion trail passes does not conform to the authority corresponding to the target user.

Optionally, the reservation module 402 is configured to:

Optionally, the track module 404 is configured to:

Optionally, the system further includes a prompt module configured to:

judging whether outbound information of the target user exists or not;

It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.

The embodiment also discloses an electronic device, referring to fig. 5, the electronic device may include: at least one processor 501, at least one communication bus 502, a user interface 503, a network interface 504, at least one memory 505.

Wherein a communication bus 502 is used to enable connected communications between these components.

The user interface 503 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 503 may further include a standard wired interface and a standard wireless interface.

The network interface 504 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.

Wherein the processor 501 may include one or more processing cores. The processor 501 connects various parts throughout the server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 505, and invoking data stored in the memory 505. Alternatively, the processor 501 may be implemented in at least one hardware form of digital signal Processing (DIGITAL SIGNAL Processing, DSP), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 501 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 501 and may be implemented by a single chip.

The Memory 505 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 505 comprises a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 505 may be used to store instructions, programs, code sets, or instruction sets. The memory 505 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described various method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 505 may also optionally be at least one storage device located remotely from the processor 501. As shown in FIG. 5, an operating system, a network communication module, a user interface module, and an application program of a method of gas station security management may be included in memory 505, which is a type of computer storage medium.

In the electronic device shown in fig. 5, the user interface 503 is mainly used for providing an input interface for a user, and acquiring data input by the user; and the processor 501 may be used to invoke an application in the memory 505 that stores a method of gas station security management, which when executed by the one or more processors 501, causes the electronic device to perform a method as in one or more of the embodiments described above.

It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory 505. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory 505, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. Whereas the aforementioned memory 505 includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.

The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims

1. The method is characterized by being applied to a gas station management platform, wherein the gas station management platform comprises a bar code scanning unit, an identity recognition unit and a video monitoring unit, and the method comprises the following steps:

Responding to the operation of clicking an external personnel button by a user, acquiring first identity information of a target user through an identity recognition unit, and determining whether an checked passing request corresponding to the first identity information is a reservation request or a bill request;

2. The method for securely controlling a gas gathering station as recited in claim 1, wherein said determining, by said video surveillance unit, whether said target user meets an inbound demand comprises:

3. The method for securely controlling a gas station according to claim 1, wherein the determining rights corresponding to different areas in the gas station by the current production status information comprises:

4. A method of gas station security management as defined in claim 3, wherein said modeling of the gas station by digital twinning techniques comprises:

5. The method for securely controlling a gas station according to claim 1, wherein the acquiring, by the video monitoring unit, the motion trail of the target user comprises:

6. The method for securely controlling a gas station according to claim 5, wherein determining whether the area traversed by the motion trail meets the rights corresponding to the target user comprises:

7. The method of gas station security management of claim 1, further comprising:

judging whether outbound information of the target user exists or not;

8. The system for safely controlling the gas gathering station is characterized by comprising a request module, a reservation module, a bill module, a track module and an alarm module, wherein:

The reservation module is configured to determine training content according to a reservation request when the checked passing request corresponding to the first identity information is the reservation request, judge whether the target user meets the inbound requirement through a video monitoring unit when the target user finishes training, and allow the target user to enter when the target user meets the inbound requirement;

The bill module is configured to acquire second identity information according to the bill bar code when the checked passing request corresponding to the first identity information is a bill request and the bill bar code is scanned by the bar code scanning unit, compare the first identity information with the second identity information, judge whether the target user meets the inbound requirement through the video monitoring unit when the first identity information is consistent with the second identity information, and allow the target user to enter the station when the target user meets the inbound requirement;

9. An electronic device comprising a processor, a memory, a user interface, and a network interface, the memory for storing instructions, the user interface and the network interface each for communicating with other devices, the processor for executing instructions stored in the memory to cause the electronic device to perform the method of any of claims 1-7.

10. A computer readable storage medium storing instructions which, when executed, perform the method of any one of claims 1-7.