Intelligent access control system for granary

Abstract

This utility model discloses an intelligent access control system for grain warehouses, relating to the field of grain warehouse safety management technology. The intelligent access control system includes an access control management platform, an intelligent control terminal, an access control module, and a lidar module. The intelligent control terminal includes a facial recognition terminal that communicates with the access control management platform. The access control module includes an access controller and a door lock; the access controller communicates with both the facial recognition terminal and the door lock. The lidar module is located on the side of the grain warehouse door and communicates with the access controller. The technical solution provided by this utility model solves the problem that existing access control systems cannot detect changes in the number of people inside the grain warehouse in real time.

Description

Technical Field

[0001] This utility model relates to the field of grain warehouse safety management technology, and in particular to a grain warehouse intelligent access control system. Background Technology

[0002] Ensuring safe grain storage is a crucial aspect of grain warehouse management, and managing grain access gates is a vital link in ensuring food security. With the rapid development of information technology, the requirements for security and intelligent management are increasingly stringent. As a vital strategic resource, grain requires strict control over the opening and closing times of access gates, access permissions for personnel entering the warehouse, and the number of personnel allowed inside. This is to prevent unnecessary impacts on grain storage safety and to ensure effective access control during the fumigation / nitrogen-filled low-oxygen pest control process, thus preventing accidental opening / entry into the grain warehouse and potential personal safety issues and environmental pollution.

[0003] Current grain warehouse access control systems primarily consist of a door lock controller and a power lock. They control the door's opening and closing via an electric mechanism and record personnel entry and exit information using a remote server, supporting remote authorization. However, this type of access control system, as a standalone system, has limitations; it cannot dynamically sense the number of people entering the warehouse or dynamically count the number of people entering and leaving. Utility Model Content

[0004] The main purpose of this invention is to propose an intelligent access control system for grain warehouses, which aims to solve the problem that existing access control systems cannot detect changes in the number of people inside the grain warehouse in real time.

[0005] To achieve the above objectives, the intelligent access control system for grain warehouses proposed in this utility model includes:

[0006] Access control management platform;

[0007] The intelligent control terminal includes a face recognition terminal that is communicatively connected to the access control management platform;

[0008] An access control module includes an access controller and a door lock, wherein the access controller is communicatively connected to the face recognition terminal and to the door lock; and

[0009] The lidar module is located on the side of the grain warehouse door and is communicatively connected to the access control controller.

[0010] In one embodiment, the lidar module includes an inbound detection radar and an outbound detection radar, which are respectively located on both sides of the grain warehouse door.

[0011] In one embodiment, both the inbound detection radar and the outbound detection radar include a laser ranging submodule and a radar sensing submodule.

[0012] In one embodiment, the access control module further includes a counter, which is installed on the smart control terminal and is communicatively connected to the access controller.

[0013] In one embodiment, the access control module further includes a drive device located on one side of the grain warehouse door and communicatively connected to the access controller.

[0014] In one embodiment, the intelligent control terminal further includes a touch screen, which is installed on one side of the face recognition terminal and is communicatively connected to the access control management platform.

[0015] In one embodiment, the intelligent control terminal further includes a fingerprint recognition terminal, which is installed on one side of the face recognition terminal and is communicatively connected to the access control management platform.

[0016] In one embodiment, the intelligent access control system for the grain warehouse further includes a lighting module, which is located inside the grain warehouse and is communicatively connected to the lidar module.

[0017] In one embodiment, the intelligent access control system for the grain warehouse further includes a gas detection module, which is located inside the grain warehouse and is communicatively connected to the access control controller.

[0018] In one embodiment, the gas detection module includes at least one of an oxygen sensor, a carbon dioxide sensor, and a phosphine sensor.

[0019] In one embodiment, the intelligent access control system for the grain warehouse further includes an early warning module, which is located inside the grain warehouse and is communicatively connected to the access control management platform.

[0020] This utility model's technical solution involves setting up an access control management platform, recording personnel permission information on the platform, recording personnel entering and exiting the warehouse, and monitoring the number of people inside the warehouse and the warehouse door's open / closed status in real time. A facial recognition terminal identifies target personnel and matches them with authorized personnel information within the access control management platform. Upon successful matching, the access controller unlocks the warehouse door. A lidar module is installed on the side of the warehouse door, enabling continuous detection of personnel entering and exiting the warehouse using high frame rates and high refresh rates. This allows for rapid detection of multiple people entering and exiting the warehouse simultaneously and continuously, ensuring accurate recording of the real-time number of people entering and exiting the warehouse. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0022] Figure 1 A structural logic diagram of an embodiment of the intelligent access control system for grain warehouses provided by this utility model;

[0023] Figure 2 A schematic diagram of the structure of a grain warehouse door, representing an embodiment of the intelligent access control system for grain warehouses provided by this utility model;

[0024] Figure 3 This is a partial structural diagram of another embodiment of the intelligent access control system for grain warehouses provided by this utility model.

[0025] Explanation of icon numbers:

[0026] 100. Intelligent access control system for grain warehouses; 01. Grain warehouse door; 1. Access control management platform; 2. Intelligent control terminal; 21. Facial recognition terminal; 22. Touch screen; 23. Fingerprint recognition terminal; 3. Access control module; 31. Access controller; 32. Door lock; 33. Counter; 34. Drive device; 4. LiDAR module; 41. Warehouse entry detection radar; 42. Warehouse exit detection radar; 5. Lighting module; 6. Gas detection module; 7. Early warning module.

[0027] The realization of the purpose, functional features and advantages of this utility model will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0028] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present utility model.

[0029] It should be noted that if the embodiments of this utility model involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indicators will also change accordingly.

[0030] Furthermore, if the embodiments of this utility model involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text includes three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this utility model.

[0031] Current grain warehouse access control systems primarily consist of a door lock controller and a power lock. They control the door's opening and closing via an electric mechanism and record personnel entry and exit information using a remote server, supporting remote authorization. However, this type of access control system, as a standalone system, has limitations; it cannot dynamically sense the number of people entering the warehouse or dynamically count the number of people entering and leaving.

[0032] This utility model proposes an intelligent access control system for grain warehouses.

[0033] Please see Figure 1 and Figure 2 In one embodiment of this utility model, the intelligent access control system 100 for grain warehouses includes:

[0034] Access control management platform 1;

[0035] The intelligent control terminal 2 includes a face recognition terminal 21 that is connected to the access control management platform 1.

[0036] Access control module 3 includes an access controller 31 and a door lock 32. The access controller 31 is communicatively connected to the face recognition terminal 21 and the door lock 32; and

[0037] The lidar module 4 is located on the side of the grain warehouse door 01 and is communicatively connected to the access control controller 31.

[0038] The technical solution of this utility model involves setting up an access control management platform 1, recording personnel permission information on the platform, recording information on personnel entering and exiting the warehouse, and detecting the number of personnel inside the warehouse and the opening and closing status of the warehouse door in real time. A facial recognition terminal 21 identifies the target personnel and matches them with the authorized personnel information in the access control management platform 1. Upon successful matching, it drives the access control controller 31 to open the door lock 32, thereby opening the grain warehouse door 01. By installing a laser radar module 4 on the side of the grain warehouse door 01, it can continuously detect personnel entering and exiting the warehouse using high frame rate and high refresh rate wavelengths, quickly detecting multiple people entering and exiting the warehouse simultaneously and continuously, ensuring accurate recording of the real-time number of personnel entering and exiting the grain warehouse.

[0039] Specifically, the access control management platform 1 connects to the intelligent control terminal 2 via Ethernet to acquire status / data in real time; the intelligent control terminal 2 connects to the access controller 31 via Ethernet to send drive signals. The access control management platform 1 can use an industrial-grade edge computing server (such as the Inspur NF5280M5), equipped with a 12th generation Intel Core processor and an NVIDIA T4 GPU, supporting 2000+ concurrent connections. The storage solution is NVMe SSD (PCIe 4.0) + RAID 5 array, and the software functional modules can adopt a four-level permission hierarchy based on the RBAC model. The access control management platform 1 is used to store authorization information of relevant personnel, door lock 32 status, operation logs, count and store the number of personnel entering / exiting the warehouse, authorize personnel permissions, and transmit the authorization information to the facial recognition terminal 21 via a TCP / IP network. The face recognition terminal 21 can use a ToF depth camera (such as an Intel RealSense D435i) paired with a wide-angle lens (FOV 110°) to acquire a 320×240 resolution depth map at a distance of 0.5m. The face recognition terminal 21 is used to authorize personnel entering the grain warehouse. By comparing the facial / fingerprint features of the personnel with the information stored on the management platform, it verifies their identity and permissions, and sends the recognition analysis results to the access controller 31. The hardware architecture of the access controller 31 can use an MCU (such as an STM32 or PIC microcontroller) as its core, integrating an RTC clock, GPIO control, and a UART communication module; the software architecture can adopt an embedded real-time operating system (RTOS) architecture or a Linux / Windows embedded system architecture, etc. The access controller 31 has unlocking / locking logic analysis, communication signal reception, and input / output signal control. It receives the recognition results from the face recognition terminal 21 and performs opening or closing operations on the door lock 32. The door lock 32 can be an electromagnetic lock or a mechanical interlock, as long as it is connected to the access controller 31 and can be controlled by the access controller 31 to open or close. The lidar module 4 can include a ToF sensor, using a VLC (Visible Light Communication) ToF solution (such as ams TOF VL5320). In addition, one lidar sensor (tilt angle -15° to +15°) is installed at the top, middle, and bottom of the grain warehouse door 01 frame to construct a three-dimensional detection matrix. The Kalman filtering algorithm is used to fuse the point cloud data from multiple lidar sensors to reduce blind spots and missed detections of single-point lidar sensors.

[0040] In the embodiments of this utility model, please refer to Figure 2 and Figure 3The lidar module 4 includes an inbound detection radar 41 and an outbound detection radar 42, which are respectively located on both sides of the grain silo door 01. The inbound detection radar 41 can be a Velodyne VLP-16 lidar, installed above the outer side of the silo door, with its scanning plane at a -10° angle to the horizontal plane, covering a depth of 0.5–5m. Its configuration parameters are: horizontal field of view 360° (focusing on the 240°–300° sector), vertical field of view 30°, and minimum resolution angle 0.1°. The outbound detection radar 42 uses a Quanergy M8 Ultra solid-state radar, embedded in the inner wall of the silo door, with its scanning plane at a +15° elevation angle to the horizontal plane, and an effective detection range of 0.3–3m. In addition, the operating modes of the two radars can be dynamically adjusted according to the opening and closing status of the warehouse door: when the access control is closed, the entry radar maintains a 10Hz scanning frequency, and the exit radar enters a sleep mode; after the door lock 32 is opened, both radars synchronously switch to a 20Hz high-frequency scanning. The entry detection radar 41 is used to statistically analyze the number of personnel entering the warehouse, and the exit detection radar 42 is used to statistically analyze the number of personnel exiting the warehouse. In specific use, when the entry ranging module radar wave detects that a person has entered the warehouse, the access control controller 31 receives the signal and automatically adds the number of people entering the warehouse, and displays the number of people entering the warehouse in real time on the touch screen 22; when the exit ranging module radar wave detects that a person has exited the warehouse, the access control controller 31 receives the signal and automatically subtracts the number of people exiting the warehouse, and displays the number of people exiting the warehouse in real time on the touch screen 22.

[0041] In the embodiments of this utility model, both the inbound detection radar 41 and the outbound detection radar 42 include a laser ranging submodule and a radar sensing submodule. The laser ranging submodule can use a 1550nm wavelength ToF sensor (such as LeddarTechVu8), which can still maintain effective ranging when visibility is <0.5m. The radar sensing module uses a 60GHz millimeter-wave radar (such as Infineon BGT60TR13C), which detects minute movements greater than 0.05m / s (such as interference from flying insect wing flapping) through the Doppler effect. Combined with an AI classifier (CNN network) to filter invalid targets, the false alarm rate is reduced to 0.1%. The laser ranging submodule (accuracy ±1cm) and the radar sensing submodule (accuracy ±5cm) form a complementary verification mechanism. For example, when a person is 3.5 meters away from the warehouse door, the laser rangefinder outputs a data of 349.8 cm, and the radar sensor outputs a data of 352 cm. The system corrects the comprehensive judgment value to 350.5 cm through a weighted average algorithm (weight ratio 7:3), eliminating the cumulative error caused by temperature drift (such as ±0.02% / ℃) of a single sensor.

[0042] In the embodiments of this utility model, please refer to Figure 1The access control module 3 also includes a counter 33, which is installed on the intelligent control terminal 2 and communicates with the access controller 31. The counter 33 can use FRAM non-volatile memory (such as Fujitsu MB85RS256B) to retain current personnel data and record last entry and exit times even in the event of a power outage. The counter 33 is connected to the LiDAR module 4 via a wired network, forming a data triangulation verification system with the face recognition terminal 21 and the LiDAR module 4. For example, if the LiDAR counts 3 people entering the warehouse, but the counter 33 only records 2 valid door openings, the system automatically triggers a verification protocol: retrieving face recognition records to verify the actual number of people entering, eliminating the risk of sensor misses (such as errors in radar point cloud segmentation caused by bending over), and improving the personnel counting accuracy to 99.99%.

[0043] In the embodiments of this utility model, please refer to Figure 1 The access control module 3 also includes a drive unit 34, which is located on one side of the grain silo door 01 and is communicatively connected to the access controller 31. The drive unit 34 can employ a closed-loop servo system (24-bit absolute encoder), integrating three independent locking systems, including a main lock, a secondary lock, and an emergency lock. The main lock can be an electromagnetic pin type, the secondary lock can be a mechanical ratchet mechanism, and the emergency lock can be driven by a shape memory alloy. By configuring the drive unit 34 and the access controller 31 in a linked manner, the door lock 32 can be unlocked or closed as needed.

[0044] In the embodiments of this utility model, please refer to Figures 1 to 3 The intelligent control terminal 2 also includes a touchscreen 22, which is installed on one side of the face recognition terminal 21 and communicates with the access control management platform 1. The access control controller 31 is connected to the touchscreen 22 via an Ethernet TCP port, displays data from the access control controller 31, and uploads the data to the remote access control management platform 1. The touchscreen 22 and the face recognition terminal 21 form a complementary verification channel. When the face recognition confidence level is at a critical threshold (e.g., 0.82-0.85), the touchscreen 22 automatically triggers the PIN code verification process. For example, if the custodian is wearing a mask, causing the face matching score to drop to 0.83, the system will display a 6-digit dynamic password (valid for 5 minutes), achieving a dynamic balance between security and convenience, increasing the verification pass rate to 99.5%. The touchscreen 22 can use a 10-inch fully laminated IPS screen, and the touch chip uses Goodix Technology GT9271, supporting 10-point touch and 5mm hover sensing. In practice, the top status bar of the touch screen 22 displays the real-time number of people inside the cabin, the middle section can display the opening and closing angle of the cabin door's 3D model, and the bottom shortcut button group has SVG icons for opening the door, alarm, and log query.

[0045] In the embodiments of this utility model, please refer to Figure 1 The intelligent control terminal 2 also includes a fingerprint recognition terminal 23, which is installed on one side of the face recognition terminal 21 and is communicatively connected to the access control management platform 1. The fingerprint recognition terminal 23 uses an FPC1025 optical fingerprint sensor. Fingerprint and facial features are fused at the decision level using DS evidence theory. When the face matching accuracy is in the range of 0.78-0.82, the fingerprint feature weight increases to 70%. For example, if a custodian's face is dusty, resulting in a face score of 0.79, the system requires simultaneous fingerprint verification (FAR ≤ 0.001%), increasing the composite authentication pass rate to 99.999%.

[0046] In the embodiments of this utility model, please refer to Figure 1 The intelligent access control system 100 for grain warehouses also includes a lighting module 5, which is located inside the grain warehouse and communicates with the lidar module 4. The lighting module 5 can employ an adjustable spectrum LED array to form a wavelength complementary detection mechanism with the lidar. When the radar detects a moving target but the confidence level is insufficient (e.g., 70%), it automatically switches to 5000K cool white light (color rendering index Ra > 95) to enhance the target outline, improving the lidar point cloud resolution to 0.5°. The driver chip can be a TITPS92662-Q1 multi-channel constant current driver, and the structure can also include a ring heat sink and a turbine fan to ensure continuous operation at an ambient temperature of 70℃. The lighting module 5 can transmit signals to the access control controller 31 via the radar infrared sensor to turn on the lights inside the warehouse. The lidar module 4 is linked with the access control controller 31. When the warehouse entry detection radar 41 detects personnel entering the warehouse, the lidar module 4 determines the number of people and controls the lighting module 5 inside the warehouse, automatically turning on the lights when someone enters and automatically turning them off when no one is present.

[0047] In the embodiments of this utility model, please refer to Figure 1 The intelligent access control system 100 for grain silos also includes a gas detection module 6, which is located inside the grain silo and communicates with the access controller 31. The gas detection module 6 is located on the top of the grain silo and integrates a three-principle sensor: PID photoionization (detecting VOCs), NDIR infrared (CO2), and electrochemical (PH3). When a phosphine concentration > 300 ppm is detected, the access control system is immediately frozen. Forty-eight hours after fumigation, the gas detection module 6 continuously monitors the PH3 decay curve (fitting the half-life t1 / 2). When the concentration < 0.3 ppm, the touchscreen 22 displays a green access warning. When a CO2 concentration > 1%, the grain respiration heat model is automatically activated to predict the risk of mold (accuracy > 92%), triggering the dehumidifier unit to start.

[0048] In this embodiment of the invention, the gas detection module 6 includes at least one of an oxygen sensor, a carbon dioxide sensor, and a phosphine sensor. These three sensors can be single-function sensors or integrated sensors. The integrated sensor can employ a multi-probe, chambered structure (such as the Honeywell RAEGuard 3EC-6300M) to monitor the oxygen, carbon dioxide, and phosphine concentrations within the grain silo online, providing safety warning data for daily grain storage operations. It is linked with the access control controller 31 to set safety factors by detecting environmental parameters within the silo. The oxygen module uses an electrochemical method, the carbon dioxide module uses dual-wavelength NDIR, and the PH3 module uses a semiconductor / electrochemical composite method. Each gas detection operates independently and supports independent calibration. In a specific application scenario, if the silo door is accidentally locked during fumigation, millimeter-wave radar detects vital signs, thermal imaging confirms three people are trapped inside, the system automatically activates emergency oxygen supply (maintaining an O2 concentration above 19.5%), and the touchscreen 22 switches to a red warning interface to send a distress signal to the outside of the grain silo door 01.

[0049] The system employs multiple verification methods for personnel access. When a person enters the warehouse, the system verifies that the person's facial information and fingerprint information match, and that the gas sensor detects that the environmental parameters inside the warehouse meet the conditions for personnel entry. Only then will the system transmit the analysis results to the access controller 31 to activate the door lock 32. If the conditions are not met, the touch screen 22 will display prompts such as "permission not met" and "current warehouse environment not met".

[0050] In the embodiments of this utility model, please refer to Figure 1 The intelligent access control system 100 for grain warehouses also includes an early warning module 7, which is located inside the grain warehouse and communicates with the access control management platform 1. The early warning module 7 may include a sensor group, mainly composed of millimeter-wave radar, a dual-spectrum network camera, and a laser door gap scanner. The millimeter-wave radar detects the presence of static personnel, the dual-spectrum network camera detects the movement of dynamic personnel, and the laser door gap scanner detects personnel entering and exiting the grain warehouse door 01. The early warning module 7 employs multi-source perception fusion for early warning, using a triple personnel detection mechanism of UWB positioning, thermal imaging counting, and AI video analysis (YOLOv5 model). When the warehouse door is closed, it verifies the number of people inside and compares the data with access control card swipe records. If the touchscreen 22 displays a number of people inside that is not zero, or if the analysis linked to the warehouse video surveillance indicates the presence of personnel, and the warehouse door closes unexpectedly, the access control management platform 1 sends an early warning signal to its administrator, who can remotely authorize the forced unlocking of the warehouse door.

[0051] The above description is merely an exemplary embodiment of the present utility model and does not limit the patent scope of the present utility model. Any equivalent structural transformations made based on the technical concept of the present utility model and the contents of the present utility model specification and drawings, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present utility model.

Claims

1. A smart access control system for grain warehouses, characterized in that the smart access control system for grain warehouses comprises: Access control management platform; The intelligent control terminal includes a face recognition terminal that is communicatively connected to the access control management platform; An access control module includes a counter, an access controller, and a door lock. The access controller is communicatively connected to the face recognition terminal and to the door lock. The counter is installed on the smart control terminal and is communicatively connected to the access controller. A lidar module is installed on the side of the grain warehouse door and is communicatively connected to the access control controller. The lidar module includes an entry detection radar and an exit detection radar, which are respectively installed on both sides of the grain warehouse door. Both the entry detection radar and the exit detection radar include a laser ranging submodule and a radar sensing submodule.

2. The intelligent access control system for grain warehouses as described in claim 1, characterized in that, The access control module also includes a drive device, which is located on one side of the grain warehouse door and is communicatively connected to the access controller.

3. The intelligent access control system for grain warehouses as described in claim 1, characterized in that, The intelligent control terminal also includes a touchscreen, which is installed on one side of the face recognition terminal and is communicatively connected to the access control management platform; and / or, The intelligent control terminal also includes a fingerprint recognition terminal, which is installed on one side of the face recognition terminal and is communicatively connected to the access control management platform.

4. The intelligent access control system for grain warehouses as described in claim 1, characterized in that, The intelligent access control system for the grain warehouse also includes a lighting module, which is located inside the grain warehouse and is communicatively connected to the lidar module.

5. The intelligent access control system for grain warehouses as described in claim 1, characterized in that, The intelligent access control system for the grain warehouse also includes a gas detection module, which is located inside the grain warehouse and is communicatively connected to the access control controller.

6. The intelligent access control system for grain warehouses as described in claim 5, characterized in that, The gas detection module includes at least one of an oxygen sensor, a carbon dioxide sensor, and a phosphine sensor.

7. The intelligent access control system for grain warehouses as described in any one of claims 1 to 6, characterized in that, The intelligent access control system for the grain warehouse also includes an early warning module, which is located inside the grain warehouse and is connected to the access control management platform.

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