Drilling Intelligent Gate Security Management System
By introducing an intelligent gate security management system at the drilling site, efficient and accurate identity and vehicle management, real-time safety monitoring, and rapid emergency response have been achieved. This has solved the problems of low efficiency, poor accuracy, and delayed emergency response in the traditional gate management model, reducing management costs and improving security.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- PUYANG DEXIN PETROLEUM MASCH CO LTD
- Filing Date
- 2026-05-21
- Publication Date
- 2026-07-31
AI Technical Summary
The drilling site has frequent personnel and vehicle traffic. The traditional gate control model is inefficient, inaccurate, has many management loopholes, and is slow and costly in terms of emergency response, making it difficult to achieve all-weather safety monitoring and rapid linkage.
The system employs intelligent access control terminals, vehicle recognition equipment, self-service terminals, environmental monitoring sensors, intelligent visual recognition equipment, and emergency response equipment. It integrates personnel management, vehicle management, environmental monitoring, safety identification, and emergency response modules to achieve identity verification, vehicle recognition, environmental monitoring, safety helmet detection, and emergency response. The system's stable operation is ensured through an edge computing gateway.
It improved the efficiency of entry and exit, reduced congestion during peak hours, lowered management costs, enhanced safety monitoring and emergency response capabilities, promptly identified and eliminated safety hazards, and minimized accident injuries.
Smart Images
Figure CN122493566A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of drilling site safety management technology, and in particular to a drilling intelligent gate safety control system. Background Technology
[0002] Drilling sites are high-risk work areas with frequent personnel and vehicle traffic and high safety management difficulty. Traditional gate control mainly relies on manual registration and verification, which has many drawbacks: (1) Low efficiency: manual registration is time-consuming and can easily cause congestion and affect the construction progress during peak hours; (2) Poor accuracy: manual verification cannot ensure accurate information entry, and there is a risk of identity theft or information omission, which poses a hidden danger to the safety of the construction site; (3) Many management loopholes: the process of education, examination and agreement signing for external personnel relies on manual supervision, which is easy to be perfunctory, and environmental monitoring and safety helmet wearing checks are difficult to cover all day and night without blind spots; (4) Delayed emergency response: traditional gates lack a one-click emergency help mechanism, and it is impossible to quickly link relevant personnel in case of emergencies, which can lead to the expansion of accident consequences; (5) High paper costs: various registrations and agreements are archived on paper, which not only consumes resources, but also hinders the rapid retrieval, analysis and sharing of information. Therefore, we propose a drilling intelligent gate safety management system. Summary of the Invention
[0003] The purpose of this invention is to address the shortcomings of existing technologies by proposing an intelligent gatekeeper safety management system for drilling operations.
[0004] To achieve the above objectives, the present invention adopts the following technical solution:
[0005] The drilling intelligent gate safety management system includes a hardware layer, a software layer, and a data interaction layer. The hardware layer includes intelligent access control terminals, vehicle recognition devices, self-service terminals, entry education devices, environmental monitoring sensors, intelligent visual recognition devices, emergency support devices, and edge computing gateways; the software layer includes personnel management modules, vehicle management modules, environmental monitoring modules, security recognition modules, emergency response modules, and data management modules; the data interaction layer includes local data interaction, cloud data interaction, and external system integration. The intelligent access control terminal is deployed at the well site entrance and exit, and integrates an ID card reader, a face recognition camera, a fingerprint recognition module and a touch screen, for collecting and verifying personnel identity information; The vehicle recognition device consists of a high-definition license plate recognition camera and an anti-smashing radar, used to identify the license plate information of vehicles entering and exiting, and compare it with a preset vehicle whitelist; The self-service terminal integrates an intelligent recognition camera, a high-definition display screen, a touch screen, and a voice guide, and is used for visitors to enter personal information, learn entry education videos, take online safety knowledge exams, and sign electronic security agreements. The entry education equipment is deployed in the gatehouse and is used to play the drilling site entry safety notice 24 hours a day. The environmental monitoring sensors are deployed around the gatehouse and in the corresponding areas of the well site to monitor on-site environmental parameters in real time. The intelligent visual recognition device is equipped with a helmet recognition camera, which uses AI algorithms to detect in real time whether people entering and exiting are wearing helmets, and also records the dynamics of the gate and surrounding areas. The emergency support equipment is equipped with a one-button call button and a high-definition video call device, as well as an AED automated external defibrillator and a first-aid kit, for rapid linkage between the gatehouse, the on-site duty room, and the emergency center; The edge computing gateway is used for the initial processing and storage of local data, while ensuring that the system can still operate normally when the network is interrupted; The personnel management module is used for the management of well team personnel and external personnel. The management of well team personnel mainly involves: pre-entering the identity information and qualification certificates of well team personnel and establishing a personnel whitelist. When well team personnel enter or exit, they can quickly pass through by facial recognition, fingerprint recognition or ID card verification, while recording the entry and exit time and well team personnel information. The management of visitors mainly involves: after visitors enter their information through a self-service terminal, a temporary access permission is automatically generated, and an entry security education video is pushed to them. After completing the online exam, they sign an electronic security agreement, and the data of the entire process is archived. The vehicle management module is used to pre-enter the information of the well team's vehicles and establish a whitelist. At the same time, when vehicles enter or exit, the module identifies the license plate and compares it with the whitelist. Based on the comparison result, it determines whether to raise the barrier to allow passage and records the corresponding information. Meanwhile, external vehicles can obtain temporary authorization to enter after being entered by personnel through self-service registration. The environmental monitoring module is used to receive environmental data collected by environmental monitoring sensors in real time, and determine whether to trigger an audible and visual alarm based on the received environmental data. It then pushes early warning information to the management APP via SMS and generates daily and monthly environmental monitoring reports. The safety identification module is used to analyze video data from intelligent visual recognition devices using AI algorithms, detect in real time whether personnel are wearing safety helmets, prohibit personnel without safety helmets from entering, automatically capture and record relevant information, and then push it to the management personnel terminal. The emergency linkage module is used to immediately connect to the on-site duty room after the one-click call button is triggered, and simultaneously push the real-time video footage of the gate and the on-site location information. At the same time, it continuously monitors the equipment status of medical emergency equipment and regularly reminds the management personnel to check and replenish emergency supplies. The data management module is used for storing, querying, statistically analyzing and processing all data, and supports generating various reports by personnel, vehicles and time dimensions, while also having a data export function. The local data interaction is used for data transmission between the edge computing gateway and various hardware devices and software modules via the local area network; The cloud data interaction is used to support data synchronization with the cloud server. At the same time, managers can remotely view the gate control data and receive alarm information through PC or mobile APP. The external system interface is used to connect with the safety production management system and attendance system at the drilling site and share data. As a further aspect of the present invention, the specific steps for the personnel management module, including well crew personnel management and external personnel management, are as follows: S1.1: In the system backend, the administrator enters the identity information and qualification certificates of the drilling team personnel one by one, and establishes a personnel whitelist based on the identity information and qualification certificates of all drilling team personnel. At the same time, when the drilling team personnel arrive at the smart access control terminal, they can choose to verify their identity by reading their ID card, facial recognition or fingerprint recognition. Then, the identity information collected by the smart access control terminal is compared with the personnel whitelist. S1.2: If the identity information matches, the smart access control terminal screen will display that the verification is successful and open the door; otherwise, the smart access control terminal will prompt that the identity is invalid and prohibit entry. At the same time, the identity information, entry time and exit time of the well team personnel will be recorded and uploaded to the edge computing gateway and cloud database simultaneously. S1.3: When visitors arrive, they can fill in their personal information, visiting unit, purpose of visit and area to be visited through the self-service terminal. At the same time, the system will collect the visitor's facial image. The system will then receive the information and create a temporary access file for the visitor. It will also generate a time-limited temporary access permission and display a construction site entry safety education video through the self-service terminal for the visitor to study. S1.4: After the training, visitors can take a security exam at the self-service terminal and sign an electronic security agreement after passing the exam. After signing, visitors can undergo facial verification at the smart access control terminal. If the information matches the temporary access file information, the access control will open and allow entry. When visitors leave, the corresponding departure time will be recorded. The visitor information, video training, online exam, agreement signing, and access record data will be classified and stored. As a further aspect of the present invention, the specific steps for external vehicles to obtain temporary authorization to enter the vehicle management module after self-registration by personnel are as follows: S2.1: Management personnel enter various types of information about drilling team vehicles one by one in the system backend, then integrate all the entered information to establish a vehicle whitelist. When a drilling team vehicle drives to the vehicle entrance / exit of the drilling site, the vehicle license plate is captured by a high-definition license plate recognition camera, and the anti-collision radar simultaneously detects whether the vehicle has reached the designated location. Then, the collected license plate is matched and verified with the vehicle whitelist data to determine whether the vehicle is qualified to enter the site. S2.2: If the verification results are consistent, the vehicle is deemed compliant, and the barrier gate is raised to allow passage; otherwise, the barrier gate remains closed, and the vehicle's entry time, license plate number, access point, and captured image information are recorded and then uploaded to the edge computing gateway and cloud database respectively. S2.3: Personnel accompanying visiting vehicles can go to the self-service terminal and manually enter vehicle information, visiting unit, purpose of visit, planned area to be visited and expected length of stay. Then, based on the visiting vehicle information, they can initiate a temporary access authorization application. After the system verifies that the information is compliant, it will generate a temporary access permission for the visiting vehicle, set a period that matches the expected length of stay, and then enter the temporary vehicle information into the temporary authorization database. S2.4: When an external vehicle arrives at the entrance, its license plate is captured and compared with the vehicle information in the temporary authorization database. If the comparison is successful and the temporary authorization is valid, the barrier gate will automatically open to allow passage. At the same time, the vehicle's entry time and license plate information will be recorded. When the external vehicle arrives at the exit, its license plate will be captured again for verification. If the verification is correct, the barrier gate will open to allow passage and the exit time will be recorded. Subsequently, the self-entry information, temporary authorization record, entry time, and exit time data of the external vehicle will be stored. As a further aspect of the present invention, the specific steps for the environmental monitoring module to generate daily and monthly environmental monitoring reports are as follows: S3.1: Receive environmental data collected by environmental monitoring sensors in real time and compare it with the corresponding preset safety thresholds. If all environmental data do not exceed the corresponding preset safety thresholds, the environmental status is determined to be normal, no alarm is triggered, and the set of environmental data is stored in the local and cloud databases respectively. Otherwise, the environment is immediately determined to be abnormal, the gatehouse on-site sound and light alarm device is triggered simultaneously, and a warning message is generated and sent to the manager's mobile phone via SMS, and pushed to the management APP terminal at the same time. S3.2: Classify and statistically analyze all environmental data by hour, day, and month, and calculate the average, maximum, minimum, number of exceedances, and duration of each environmental data. At the same time, generate a standardized daily report based on the statistical data of the day at a fixed time each day, and integrate the daily daily report data of the month at a fixed time each month to form a monthly environmental monitoring report. As a further aspect of the present invention, the specific steps for the security identification module to synchronously push information to the administrator's terminal are as follows: S4.1: Retrieve on-site video data collected by intelligent visual recognition equipment, and analyze the retrieved on-site video data frame by frame through the built-in safety helmet recognition AI algorithm to locate the head area of the personnel in the on-site video data. At the same time, detect whether the safety helmet is worn correctly in this area. If the personnel's head area is completely covered by a qualified safety helmet, it is judged as compliant; otherwise, it is judged as non-compliant. S4.2: If the violation is determined to be compliant, no interception command will be triggered, and the smart access control terminal will maintain normal access status, allowing personnel to enter the well site; if the violation is determined to be compliant, an interception command will be sent to the smart access control terminal, and the terminal screen will display "Not wearing a safety helmet, entry prohibited" and provide a voice reminder to the personnel on site. At the same time, a high-definition photo of the violator will be captured on site, and a video clip of the corresponding violation period will be extracted. Subsequently, all types of data will be stored in the local and cloud databases respectively. S4.3: Based on captured images, video clips, violation times, and monitoring locations of violators, generate violation notifications and push them to the PC management platform and mobile app of the administrators. As a further aspect of the present invention, the specific steps for the emergency response module to periodically remind managers to check and replenish emergency supplies are as follows: S5.1: When the one-click call button on the emergency support equipment is triggered, the emergency linkage module receives the help signal sent by the one-click call in real time, and locks the gate as the incident area according to the help signal. Then, it connects to the emergency communication equipment in the duty room through the built-in communication link, and then retrieves the video data of the gate area collected by the intelligent visual recognition equipment and pushes it to the display terminal in the duty room at the same time. S5.2: The gate's geographical location, distress signal, and video data are simultaneously sent to the duty room terminal. At the same time, the duty room personnel connect with the on-site personnel through video calls, assess the risks based on the on-site video data, and then issue emergency response instructions based on the risk assessment results. S5.3: Collect status data of each medical emergency device and data of each emergency supplies in real time, and determine whether the medical emergency devices are operating normally and whether the emergency supplies are sufficient based on the two types of data. If the status data of the medical emergency devices is within the preset standard, and the emergency supplies are sufficient and within the preset validity period, no reminder instruction will be triggered; otherwise, the medical emergency device or emergency supplies will be marked as an abnormal pending state. Subsequently, based on the medical emergency devices or emergency supplies in the abnormal pending state, a corresponding special reminder will be generated and pushed to the responsible management personnel at the same time. As a further aspect of the present invention, the specific steps for the data management module to generate various reports based on personnel, vehicles, and time dimensions are as follows: S6.1: Receive all data generated by each software module and hardware device in real time, unify the format of all data, classify and store it according to different categories, and simultaneously save it to the edge computing gateway and cloud database. Then, perform statistics on the stored data according to the dimensions of personnel, vehicles and time, and analyze the statistical results. S6.2: Based on the statistical and analytical results, generate corresponding reports by personnel, vehicles, and time. At the same time, managers can preview and verify the generated reports in real time on the management terminal. Then, managers can select the raw data or reports to be exported and download them.
[0006] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention first enters the identity and qualification information of drilling team personnel in the background and establishes a personnel whitelist. Drilling team personnel can choose to verify their identity via ID card, facial recognition, or fingerprint through a smart access control terminal. If the information matches, the access control opens and the passage data is recorded, and simultaneously uploaded to the edge computing gateway and cloud database. External personnel enter their personal and visitor information through a self-service terminal. After facial images are collected, a temporary file is created and time-limited permissions are generated. After external personnel complete safety education, pass the exam, and sign an electronic agreement, they enter the site through facial verification. The corresponding full-process data is categorized and stored. Subsequently, drilling team vehicle information is entered in the background to establish a vehicle whitelist. Drilling team vehicles are automatically verified by license plate recognition and anti-collision radar detection at the entrance and exit. Vehicles that meet the rules are allowed to pass through the gate and the passage data is recorded. External vehicles are requested by their accompanying personnel through a self-service terminal. After approval, they are verified and allowed to pass within the validity period. After leaving the site, the full-process data is stored. Then, environmental data collected by environmental monitoring sensors is received in real time and compared with preset thresholds. Anomalies trigger audible and visual alarms and send warning messages to management personnel. Simultaneously, hourly, daily, and monthly statistics are compiled to generate daily and monthly monitoring reports. AI algorithms then analyze video footage to detect personnel's helmet-wearing status; violations are detected through access control, evidence is captured, and violation notifications are sent. Following a one-click call, the system connects to the duty room, synchronizing on-site video and location information. The system continuously monitors the status of medical emergency equipment and supplies, sending alerts for handling any anomalies. Finally, all data is formatted, categorized, and stored. Statistical analysis is performed by personnel, vehicle, and time to generate corresponding reports. Management personnel can export the data and reports after verification, improving the efficiency of personnel and vehicle access, effectively solving congestion during peak hours, reducing paper file storage and management costs, and improving data retrieval efficiency. This not only enables the timely detection and elimination of safety hazards and ensures the availability of emergency supplies in emergencies, minimizing the severity of accidents, but also helps management personnel identify weaknesses and optimize management strategies. Attached Figure Description
[0007] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.
[0008] Figure 1 This is a system block diagram of the intelligent gatekeeper safety management system for drilling proposed in this invention. Detailed Implementation
[0009] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.
[0010] Example 1, referring to Figure 1 The drilling intelligent gate safety management system includes a hardware layer, a software layer, and a data interaction layer. The hardware layer includes intelligent access control terminals, vehicle recognition devices, self-service terminals, entry education equipment, environmental monitoring sensors, intelligent visual recognition devices, emergency support equipment, and edge computing gateways; the software layer includes personnel management modules, vehicle management modules, environmental monitoring modules, security recognition modules, emergency response modules, and data management modules; the data interaction layer includes local data interaction, cloud data interaction, and external system integration. The intelligent access control terminal is deployed at the well site entrance and exit, and integrates an ID card reader, a facial recognition camera, a fingerprint recognition module and a touch screen to collect and verify personnel identity information; the vehicle recognition equipment consists of a high-definition license plate recognition camera and anti-smashing radar, used to identify the license plate information of vehicles entering and exiting, and compare it with a preset vehicle whitelist.
[0011] The self-service terminal integrates a smart recognition camera, a high-definition display screen, a touch screen, and a voice guide, for visitors to enter personal information, learn entry education videos, take online safety knowledge exams, and sign electronic safety agreements; the entry education equipment is deployed in the gatehouse to play drilling site entry safety notices 24 hours a day.
[0012] Environmental monitoring sensors are deployed around the gate and in the corresponding area of the well site to monitor on-site environmental parameters in real time; the intelligent visual recognition equipment is equipped with a safety helmet recognition camera to detect in real time whether personnel entering and leaving are wearing safety helmets through AI algorithms, while recording the dynamics of the gate and surrounding areas.
[0013] The emergency support equipment is equipped with a one-button call button and a high-definition video call device, as well as an AED (Automated External Defibrillator) and a first-aid kit, for rapid linkage between the gatehouse, on-site duty room, and emergency center; the edge computing gateway is used for preliminary processing and storage of local data, while ensuring that the system can still operate normally when the network is interrupted.
[0014] The personnel management module is used for the management of well crew personnel and external personnel.
[0015] Specifically, in the system backend, managers enter the identity information and qualification certificates of each drilling team member one by one, and create a personnel whitelist based on the identity information and qualification certificates of all drilling team members. When a drilling team member arrives at the smart access control terminal, they can choose to verify their identity by ID card reading, facial recognition, or fingerprint recognition. The smart access control terminal then compares the identity information collected with the personnel whitelist. If the identity information matches, the smart access control terminal screen displays "verification passed" and opens the door; otherwise, the smart access control terminal indicates "invalid identity" and prohibits entry, while recording the drilling team member's identity information, entry time, and departure time, and simultaneously uploading this information to the edge computing gateway and cloud database. When external personnel visit, they can fill in personal information through the self-service terminal. The system records the visiting unit, purpose of visit, and area visited, and simultaneously collects the visitor's facial image. Upon receiving the information, the system creates a temporary access file for the visitor, generates a time-limited temporary entry permission, and displays a construction site safety education video on a self-service terminal for the visitor to study. After completing the study, the visitor can take a safety exam at the self-service terminal and sign an electronic safety agreement upon passing. Simultaneously, after signing, the visitor undergoes facial verification at a smart access control terminal. If the temporary access file information matches, the access control is opened. Upon departure, the corresponding departure time is recorded. The system then categorizes and stores the visitor's information, video study data, online exam results, agreement signing data, and access records.
[0016] It should be further explained that the management of drilling team personnel mainly involves: pre-entering the identity information and qualification certificates of drilling team personnel and establishing a personnel whitelist. When drilling team personnel enter and exit, they can quickly pass through through facial recognition, fingerprint recognition, or ID card verification, while recording the entry and exit time and drilling team personnel information. The management of external personnel mainly involves: after external personnel enter their information through the self-service terminal, temporary access permissions are automatically generated, and an entry safety education video is pushed to them. After completing the online exam, they sign an electronic safety agreement, and the data of the entire process is archived.
[0017] The vehicle management module is used to pre-enter information on well site vehicles and establish a whitelist. When vehicles enter or exit, the module identifies the license plate and compares it with the whitelist. Based on the comparison results, it determines whether to raise the barrier to allow passage and records the relevant information. Meanwhile, external vehicles can obtain temporary authorization to enter after being entered by personnel through self-service registration.
[0018] Specifically, management personnel enter various types of information about drilling team vehicles one by one in the system backend, then integrate all the entered information to create a vehicle whitelist. When a drilling team vehicle arrives at the drilling site vehicle entrance / exit, a high-definition license plate recognition camera captures the vehicle's license plate, and anti-collision radar simultaneously detects whether the vehicle has reached the designated location. The captured license plate is then matched and verified against the vehicle whitelist data to determine if the vehicle is qualified to enter. If the verification results match, the vehicle is deemed compliant, and the barrier gate is raised to allow passage; otherwise, the barrier gate remains closed, and the vehicle's entry time, license plate number, access point, and captured image information are recorded. These are then uploaded to the edge computing gateway and the cloud database, respectively. Personnel accompanying external vehicles can go to the self-service terminal to manually enter vehicle information. The system takes the following information: the visiting organization, the purpose of the visit, the planned area to be visited, and the expected duration of stay. Based on the information of the visiting vehicle, a temporary access authorization application is initiated. After the system verifies that the information is compliant, a temporary access permission is generated for the visiting vehicle, and a period matching the expected duration of stay is set. The temporary vehicle information is then entered into the temporary authorization database. When the visiting vehicle arrives at the entrance, the license plate is captured and compared with the vehicle information in the temporary authorization database. If the comparison is successful and the temporary permission is within the validity period, the barrier gate automatically opens to allow passage, and the vehicle's entry time and license plate information are recorded. When the visiting vehicle arrives at the exit, the license plate is captured again for verification. If the verification is correct, the barrier gate opens to allow passage, and the exit time is recorded. Subsequently, the self-entered information, temporary authorization record, entry time, and exit time data of the visiting vehicle are stored.
[0019] The environmental monitoring module is used to receive environmental data collected by environmental monitoring sensors in real time, and determine whether to trigger an audible and visual alarm based on the received environmental data. It then pushes early warning information to the management APP via SMS and generates daily and monthly environmental monitoring reports.
[0020] Specifically, the system receives environmental data collected by environmental monitoring sensors in real time and compares it with corresponding preset safety thresholds. If all environmental data does not exceed the corresponding preset safety thresholds, the environmental state is determined to be normal, no alarm is triggered, and the environmental data is stored in the local and cloud databases respectively. Otherwise, the environment is immediately determined to be abnormal, the gate's on-site audible and visual alarm device is triggered simultaneously, and a warning message is generated and sent to the manager's mobile phone via SMS, while also being pushed to the management APP terminal. All environmental data are classified and statistically analyzed by hour, day, and month, and the average, maximum, minimum, number of times exceeding the standard, and duration of each environmental data are calculated. At fixed times each day, a standardized daily report is generated based on the statistical data of the day, and at fixed times each month, the daily daily report data is integrated to form a monthly environmental monitoring report.
[0021] Example 2, refer to Figure 1 The drilling intelligent gate safety management system includes a hardware layer, a software layer, and a data interaction layer. The hardware layer includes intelligent access control terminals, vehicle recognition devices, self-service terminals, entry education equipment, environmental monitoring sensors, intelligent visual recognition devices, emergency support equipment, and edge computing gateways; the software layer includes personnel management modules, vehicle management modules, environmental monitoring modules, security recognition modules, emergency response modules, and data management modules; the data interaction layer includes local data interaction, cloud data interaction, and external system integration. The safety identification module uses AI algorithms to analyze video data from intelligent visual recognition devices, detect in real time whether personnel are wearing safety helmets, prohibit personnel without safety helmets from entering, automatically capture and record relevant information, and then push it to the management personnel terminal.
[0022] Specifically, the system retrieves on-site video data collected by intelligent visual recognition equipment and analyzes the retrieved on-site video data frame by frame using a built-in safety helmet recognition AI algorithm to locate the head area of personnel in the on-site video data. At the same time, it detects whether the safety helmet is worn correctly in that area. If the personnel's head area is completely covered by a qualified safety helmet, it is judged as compliant; otherwise, it is judged as non-compliant. If it is judged as compliant, no interception command is triggered, and the intelligent access control terminal maintains normal access status, allowing personnel to enter the well site. If it is judged as non-compliant, an interception command is sent to the intelligent access control terminal, and the terminal screen displays "No safety helmet worn, entry prohibited" and provides a voice reminder to the personnel on site. At the same time, a high-definition photo of the non-compliant personnel is captured on site, and a video clip of the corresponding time period of the violation is extracted. Subsequently, various data are stored in local and cloud databases respectively. Based on the captured images, video clips, violation time, and monitoring points of the non-compliant personnel, a violation notification is generated and then pushed to the management personnel's PC management platform and mobile APP.
[0023] The emergency response module is used to immediately connect to the on-site duty room after the one-click call button is triggered, and simultaneously push real-time video footage and on-site location information from the gatekeeper. At the same time, it continuously monitors the equipment status of medical emergency equipment and regularly reminds management personnel to check and replenish emergency supplies.
[0024] Specifically, when the one-click call button on the emergency support equipment is triggered, the emergency linkage module receives the distress signal sent by the one-click call in real time. Based on the distress signal, it locates the gate as the incident area and then connects to the emergency communication equipment in the on-site duty room through the built-in communication link. Subsequently, it retrieves the video data of the gate area collected by the intelligent visual recognition equipment and pushes it to the display terminal in the duty room simultaneously. The geographical location of the gate, the distress signal, and the video data are sent to the terminal in the duty room at the same time. Meanwhile, the personnel in the duty room communicate with the personnel on site through video call and assess the risks based on the on-site video data. Based on the risk assessment results, emergency response instructions are issued. The system collects the status data of each medical emergency equipment and the data of each emergency supplies in real time. Based on the two types of data, it determines whether the medical emergency equipment is operating normally and whether the emergency supplies are sufficient. If the status data of the medical emergency equipment is within the preset standard and the emergency supplies are sufficient and within the preset validity period, no reminder instruction is triggered. Otherwise, the medical emergency equipment or emergency supplies are marked as abnormal pending status. Subsequently, based on the medical emergency equipment or emergency supplies in abnormal pending status, a corresponding special reminder is generated and pushed to the responsible management personnel.
[0025] The data management module is used for storing, querying, statistically analyzing, and managing all data. It supports generating various reports by personnel, vehicles, and time, and also has a data export function.
[0026] Specifically, the system receives all data generated by various software modules and hardware devices in real time, unifies the format of all data, and then classifies and stores it according to different categories. Simultaneously, it saves the data to the edge computing gateway and the cloud database. Then, it performs statistics on the stored data according to personnel, vehicles, and time dimensions, analyzes the statistical results, and generates corresponding reports according to personnel, vehicles, and time dimensions based on the statistical and analysis results. At the same time, the management personnel can preview the generated reports in real time on the management terminal and verify them. Then, the management personnel select the raw data or reports that need to be exported and download them.
[0027] Local data interaction is used for data transmission between the edge computing gateway and various hardware devices and software modules via the local area network; cloud data interaction is used to support data synchronization with the cloud server, and at the same time, managers can remotely view gate control data and receive alarm information through PC or mobile APP; external system integration is used to connect with the safety production management system and attendance system of the drilling construction site and share data.
Claims
1. A drilling intelligent gatekeeper safety management and control system, characterized in that, It includes the hardware layer, the software layer, and the data interaction layer; The hardware layer includes intelligent access control terminals, vehicle recognition devices, self-service terminals, entry education devices, environmental monitoring sensors, intelligent visual recognition devices, emergency support devices, and edge computing gateways; the software layer includes personnel management modules, vehicle management modules, environmental monitoring modules, security recognition modules, emergency response modules, and data management modules; the data interaction layer includes local data interaction, cloud data interaction, and external system integration. The intelligent access control terminal is deployed at the well site entrance and exit, and integrates an ID card reader, a face recognition camera, a fingerprint recognition module and a touch screen, for collecting and verifying personnel identity information; The vehicle recognition device consists of a high-definition license plate recognition camera and an anti-smashing radar, used to identify the license plate information of vehicles entering and exiting, and compare it with a preset vehicle whitelist; The self-service terminal integrates an intelligent recognition camera, a high-definition display screen, a touch screen, and a voice guide, and is used for visitors to enter personal information, learn entry education videos, take online safety knowledge exams, and sign electronic security agreements. The entry education equipment is deployed in the gatehouse and is used to play the drilling site entry safety notice 24 hours a day. The environmental monitoring sensors are deployed around the gatehouse and in the corresponding areas of the well site to monitor on-site environmental parameters in real time. The intelligent visual recognition device is equipped with a helmet recognition camera, which uses AI algorithms to detect in real time whether people entering and exiting are wearing helmets, and also records the dynamics of the gate and surrounding areas. The emergency support equipment is equipped with a one-button call button and a high-definition video call device, as well as an AED automated external defibrillator and a first-aid kit, for rapid linkage between the gatehouse, the on-site duty room, and the emergency center; The edge computing gateway is used for the initial processing and storage of local data, while ensuring that the system can still operate normally when the network is interrupted; The personnel management module is used for the management of well team personnel and external personnel. The management of well team personnel mainly involves: pre-entering the identity information and qualification certificates of well team personnel and establishing a personnel whitelist. When well team personnel enter or exit, they can quickly pass through by facial recognition, fingerprint recognition or ID card verification, while recording the entry and exit time and well team personnel information. The management of visitors mainly involves: after visitors enter their information through a self-service terminal, a temporary access permission is automatically generated, and an entry security education video is pushed to them. After completing the online exam, they sign an electronic security agreement, and the data of the entire process is archived. The vehicle management module is used to pre-enter the information of the well team's vehicles and establish a whitelist. At the same time, when vehicles enter or exit, the module identifies the license plate and compares it with the whitelist. Based on the comparison result, it determines whether to raise the barrier to allow passage and records the corresponding information. Meanwhile, external vehicles can obtain temporary authorization to enter after being entered by personnel through self-service registration. The environmental monitoring module is used to receive environmental data collected by environmental monitoring sensors in real time, and determine whether to trigger an audible and visual alarm based on the received environmental data. It then pushes early warning information to the management APP via SMS and generates daily and monthly environmental monitoring reports. The safety identification module is used to analyze video data from intelligent visual recognition devices using AI algorithms, detect in real time whether personnel are wearing safety helmets, prohibit personnel without safety helmets from entering, automatically capture and record relevant information, and then push it to the management personnel terminal. The emergency linkage module is used to immediately connect to the on-site duty room after the one-click call button is triggered, and simultaneously push the real-time video footage of the gate and the on-site location information. At the same time, it continuously monitors the equipment status of medical emergency equipment and regularly reminds the management personnel to check and replenish emergency supplies. The data management module is used for storing, querying, statistically analyzing and processing all data, and supports generating various reports by personnel, vehicles and time dimensions, while also having a data export function. The local data interaction is used for data transmission between the edge computing gateway and various hardware devices and software modules via the local area network; The cloud data interaction is used to support data synchronization with the cloud server. At the same time, managers can remotely view the gate control data and receive alarm information through PC or mobile APP. The external system interface is used to connect with the safety production management system and attendance system at the drilling site and share data.
2. The drilling intelligent gatekeeper safety management and control system according to claim 1, characterized in that, The specific steps for managing well team personnel and external personnel in the personnel management module are as follows: S1.1: In the system backend, the administrator enters the identity information and qualification certificates of the drilling team personnel one by one, and establishes a personnel whitelist based on the identity information and qualification certificates of all drilling team personnel. At the same time, when the drilling team personnel arrive at the smart access control terminal, they can choose to verify their identity by reading their ID card, facial recognition or fingerprint recognition. Then, the identity information collected by the smart access control terminal is compared with the personnel whitelist. S1.2: If the identity information matches, the smart access control terminal screen will display that the verification is successful and open the door; otherwise, the smart access control terminal will prompt that the identity is invalid and prohibit entry. At the same time, the identity information, entry time and exit time of the well team personnel will be recorded and uploaded to the edge computing gateway and cloud database simultaneously. S1.3: When visitors arrive, they can fill in their personal information, visiting unit, purpose of visit and area to be visited through the self-service terminal. At the same time, the system will collect the visitor's facial image. The system will then receive the information and create a temporary access file for the visitor. It will also generate a time-limited temporary access permission and display a construction site entry safety education video through the self-service terminal for the visitor to study. S1.4: After the training, visitors can take a security exam at the self-service terminal and sign an electronic security agreement after passing the exam. After signing, visitors can undergo facial verification at the smart access control terminal. If the information matches the temporary access file information, the access control will open and allow entry. When visitors leave, the corresponding departure time will be recorded. The visitor information, video training, online exam, agreement signing, and access record data will be classified and stored.
3. The drilling intelligent gatekeeper safety management and control system of claim 1, wherein, The specific steps for external vehicles to obtain temporary authorization to enter the vehicle management module after self-service registration by personnel are as follows: S2.1: Management personnel enter various types of information about drilling team vehicles one by one in the system backend, then integrate all the entered information to establish a vehicle whitelist. When a drilling team vehicle drives to the vehicle entrance / exit of the drilling site, the vehicle license plate is captured by a high-definition license plate recognition camera, and the anti-collision radar simultaneously detects whether the vehicle has reached the designated location. Then, the collected license plate is matched and verified with the vehicle whitelist data to determine whether the vehicle is qualified to enter the site. S2.2: If the verification results are consistent, the vehicle is deemed compliant, and the barrier gate is raised to allow passage; otherwise, the barrier gate remains closed, and the vehicle's entry time, license plate number, access point, and captured image information are recorded and then uploaded to the edge computing gateway and cloud database respectively. S2.3: Personnel accompanying visiting vehicles can go to the self-service terminal and manually enter vehicle information, visiting unit, purpose of visit, planned area to be visited and expected length of stay. Then, based on the visiting vehicle information, they can initiate a temporary access authorization application. After the system verifies that the information is compliant, it will generate a temporary access permission for the visiting vehicle, set a period that matches the expected length of stay, and then enter the temporary vehicle information into the temporary authorization database. S2.4: When an external vehicle arrives at the entrance, its license plate is captured and compared with the vehicle information in the temporary authorization database. If the comparison is successful and the temporary authorization is valid, the barrier gate will automatically open to allow passage. At the same time, the vehicle's entry time and license plate information will be recorded. When the external vehicle arrives at the exit, its license plate will be captured again for verification. If the verification is correct, the barrier gate will open to allow passage and the exit time will be recorded. Subsequently, the self-entry information, temporary authorization record, entry time, and exit time data of the external vehicle will be stored.
4. The drilling smart gatekeeper safety management system of claim 1, wherein, The specific steps for the environmental monitoring module to generate daily and monthly environmental monitoring reports are as follows: S3.1: Receive environmental data collected by environmental monitoring sensors in real time and compare it with the corresponding preset safety thresholds. If all environmental data do not exceed the corresponding preset safety thresholds, the environmental status is determined to be normal, no alarm is triggered, and the set of environmental data is stored in the local and cloud databases respectively. Otherwise, the environment is immediately determined to be abnormal, the gatehouse on-site sound and light alarm device is triggered simultaneously, and a warning message is generated and sent to the manager's mobile phone via SMS, and pushed to the management APP terminal at the same time. S3.2: Classify and statistically analyze all environmental data by hour, day, and month, and calculate the average, maximum, minimum, number of exceedances, and duration of each environmental data. At the same time, generate a standardized daily report based on the statistical data of the day at a fixed time each day, and integrate the daily daily report data of the month at a fixed time each month to form a monthly environmental monitoring report.
5. The drilling intelligent gate safety control system according to claim 1, characterized in that, The specific steps for the security identification module to synchronously push information to the administrator's terminal are as follows: S4.1: Retrieve on-site video data collected by intelligent visual recognition equipment, and analyze the retrieved on-site video data frame by frame through the built-in safety helmet recognition AI algorithm to locate the head area of the personnel in the on-site video data. At the same time, detect whether the safety helmet is worn correctly in this area. If the personnel's head area is completely covered by a qualified safety helmet, it is judged as compliant; otherwise, it is judged as non-compliant. S4.2: If the violation is determined to be compliant, no interception command will be triggered, and the smart access control terminal will maintain normal access status, allowing personnel to enter the well site; if the violation is determined to be compliant, an interception command will be sent to the smart access control terminal, and the terminal screen will display "Not wearing a safety helmet, entry prohibited" and provide a voice reminder to the personnel on site. At the same time, a high-definition photo of the violator will be captured on site, and a video clip of the corresponding violation period will be extracted. Subsequently, all types of data will be stored in the local and cloud databases respectively. S4.3: Based on captured images, video clips, violation times, and monitoring locations of violators, generate violation notifications and push them to the PC management platform and mobile app of the administrators.
6. The drilling intelligent gate safety control system according to claim 5, characterized in that, The specific steps for the emergency response module to periodically remind managers to check and replenish first-aid supplies are as follows: S5.1: When the one-click call button on the emergency support equipment is triggered, the emergency linkage module receives the help signal sent by the one-click call in real time, and locks the gate as the incident area according to the help signal. Then, it connects to the emergency communication equipment in the duty room through the built-in communication link, and then retrieves the video data of the gate area collected by the intelligent visual recognition equipment and pushes it to the display terminal in the duty room at the same time. S5.2: The gate's geographical location, distress signal, and video data are simultaneously sent to the duty room terminal. At the same time, the duty room personnel connect with the on-site personnel through video calls, assess the risks based on the on-site video data, and then issue emergency response instructions based on the risk assessment results. S5.3: Real-time collection of status data of each medical emergency device and data of each emergency supplies, and based on the two types of data, to determine whether the medical emergency devices are operating normally and whether the emergency supplies are sufficient. If the status data of the medical emergency devices are within the preset standards, and the emergency supplies are sufficient and within the preset validity period, then no reminder instruction will be triggered. Conversely, if the medical emergency equipment or emergency supplies are marked as being in an abnormal pending state, a corresponding special reminder will be generated based on the abnormal pending state of the medical emergency equipment or emergency supplies and simultaneously pushed to the responsible management personnel.
7. The drilling intelligent gate safety control system according to claim 6, characterized in that, The specific steps for generating various reports by personnel, vehicles, and time dimensions in the data management module are as follows: S6.1: Receive all data generated by each software module and hardware device in real time, unify the format of all data, classify and store it according to different categories, and simultaneously save it to the edge computing gateway and cloud database. Then, perform statistics on the stored data according to the dimensions of personnel, vehicles and time, and analyze the statistical results. S6.2: Based on the statistical and analytical results, generate corresponding reports by personnel, vehicles, and time. At the same time, managers can preview and verify the generated reports in real time on the management terminal. Then, managers can select the raw data or reports to be exported and download them.