AI intelligent equipment management device

Abstract

The utility model relates to the technical field of equipment management, and provides an AI intelligent equipment management device. The box body comprises an intelligent part and a storage part fixedly connected with the lower part of the intelligent part; the intelligent part comprises an electric control cabinet and a control mainboard embedded into the electric control cabinet, and a panoramic camera device, a touch display screen and a voice control device which are electrically connected with the control mainboard are embedded into the front surface of the electric control cabinet; the storage part comprises a plurality of storage cabinets, and the storage cabinets are rotationally connected with electric control cabinet doors.

Description

Technical Field

[0001] This utility model relates to the field of equipment management, and in particular to an AI intelligent equipment management device. Background Technology

[0002] Equipment and supplies management cabinets are devices specifically designed for storing, managing, and protecting various equipment and supplies. They typically consist of a cabinet body, door locks, and internal partitions. These cabinets are widely used in various settings, such as hospitals, laboratories, factories, schools, and the military. They can improve the safety, management efficiency, and usability of equipment and supplies, reduce losses and waste, and provide users with convenient and reliable equipment and supplies management solutions.

[0003] Patent document 202323464967.9 relates to an IoT laboratory management system and an IoT laboratory. This system enables remote management of laboratory equipment and materials. The system includes a mobile terminal and a lighting control system, a radio frequency identification (RFID) system, and a wireless monitoring system, all connected to the mobile terminal via signals. Specifically: the mobile terminal is connected to an IoT data acquisition gateway; the mobile terminal and the IoT data acquisition gateway are remotely wirelessly connected to a wireless router; the lighting control system is remotely connected to the IoT data acquisition gateway; and the RFID system and the wireless monitoring system are connected to the IoT data acquisition gateway via wireless routers.

[0004] However, the equipment management device disclosed in the aforementioned patent documents cannot connect to terminal devices via Wi-Fi, Bluetooth, etc., to query laboratory equipment at any time, nor can it use voice recognition and touch screen to quickly find the desired equipment and its specific location. Utility Model Content

[0005] This invention proposes an AI-powered intelligent equipment management device to solve the problems that equipment management devices cannot connect to terminal devices via Wi-Fi, Bluetooth, etc., to query laboratory equipment at any time, and cannot quickly find the desired equipment and its specific location through voice recognition and touch screen.

[0006] To achieve the above objectives, the embodiments of this application adopt the following technical solutions:

[0007] In an embodiment of this application, an AI-powered intelligent equipment management device is proposed, comprising:

[0008] The housing includes a storage compartment and an intelligent unit fixedly embedded within the storage compartment;

[0009] The intelligent unit includes an electrical control cabinet and a control motherboard embedded inside the electrical control cabinet. The front of the electrical control cabinet is embedded with a panoramic camera device, a touch screen, an NFC card reader, and a voice control device that are electrically connected to the control motherboard.

[0010] The storage section includes multiple storage cabinets, which are rotatably connected to the door of the electrical control cabinet.

[0011] The device described in this application features a modular cabinet structure, with each storage compartment being independent and compartmentalized. An intelligent unit controls the lighting within each compartment and records the stored equipment. This intelligent unit is an embedded electrical control cabinet with an independent control motherboard. It uses a panoramic camera to record stored and retrieved equipment. A touchscreen display allows users to query equipment in different compartments. NFC card readers or authorized user cards are used for authentication, enabling the retrieval, placement, and removal of equipment. The cabinet doors employ electronic locks with damping hinge mechanisms electrically connected to Hall effect sensors. After authentication, the touchscreen display controls the opening and closing of the selected cabinet.

[0012] In one possible design embodiment of this application, a communication component is embedded on the control motherboard, the communication component including:

[0013] Main communication chip, power supply module, radio frequency module, antenna module, communication interface module and low power control module;

[0014] The communication interface module integrates a Wi-Fi module and a Bluetooth module, which connect to external devices through the communication interface module.

[0015] The power module includes a step-down converter circuit and an AC power input terminal electrically connected to the input terminal of the step-down converter circuit. The output terminal of the step-down converter circuit is connected to the power supply port of the main communication chip and the power supply port of the radio frequency module, respectively.

[0016] The radio frequency module includes a radio frequency switch and a matching network. The input terminal of the radio frequency switch is electrically connected to the radio frequency signal output terminal of the main communication chip, and the output terminal of the radio frequency switch is electrically connected to the antenna module through the matching network. The antenna module is a PCB inverted F-type antenna.

[0017] The low-power control module is equipped with an external interrupt wake-up circuit and a timer wake-up circuit, and the signal output terminal of the low-power control module is electrically connected to the control input terminal of the communication interface module.

[0018] During use, the power supply module of this application includes a step-down converter circuit that converts the input voltage into the operating voltage of the main communication chip and the radio frequency module; the radio frequency module includes a radio frequency switch and a matching network for switching the antenna transmit and receive states and optimizing signal transmission; the antenna module is a PCB inverted F-type antenna that is connected to the radio frequency module through the matching network; the low-power control module can realize external interrupt wake-up and timer wake-up functions, and control the main control module to switch between active mode and deep sleep mode.

[0019] In one possible design embodiment of this application:

[0020] The step-down conversion circuit is a multi-stage step-down main circuit, which includes at least two series or parallel step-down sub-circuits. Each sub-circuit consists of an independent MOSFET switch and an energy storage inductor. The source of the MOSFET switch is connected to the output terminal of the mains power input terminal, and the drain is grounded through the energy storage inductor.

[0021] The digital control module includes a PWM signal output terminal, which is connected to the gate of the MOS transistor switch of each sub-circuit.

[0022] The feedback sampling module includes a voltage sampling circuit connected in parallel to the output of each step-down sub-circuit and a current sampling circuit connected in series. Its output is connected to the feedback input of the digital control module via an ADC converter.

[0023] During use, the device of this application comprises a multi-stage step-down main circuit, which includes at least two series- or parallel step-down sub-circuits. Each sub-circuit consists of an independent MOSFET switch (Q1~Qn) and an energy storage inductor (L1~Ln). The digital control module dynamically adjusts the duty cycle of each sub-circuit through a PWM signal to achieve digital configuration of the multi-stage output voltage. The feedback sampling module collects the output voltage and current of each branch in real time, converts them by an ADC, and feeds them back to the digital control module to form a closed-loop regulation. The communication interface module receives external commands and dynamically sets the target voltage level and switching sequence.

[0024] In one possible design embodiment of this application:

[0025] The control motherboard is also connected to a lighting control unit configured on each electrical control cabinet door, and the lighting control unit is installed on the cabinet door;

[0026] The lighting control unit includes LED lights that connect to each storage compartment of the safe;

[0027] The LED light assembly is connected in series with an infrared sensor array and a photosensitive detection circuit.

[0028] During use, the device of this application controls the lighting control unit of each electrical control cabinet door through the control motherboard. The lighting control unit is an LED light group used to provide lighting for the inside of each cabinet. The infrared sensor array can determine whether the cabinet door is open, and the photosensitive detection circuit is used to determine whether the brightness inside the cabinet is lower than the preset brightness value.

[0029] In one possible design embodiment of this application:

[0030] The photosensitive detection circuit includes: a photoresistor, a voltage divider resistor, an operational amplifier, and a low-pass filter circuit;

[0031] Among them, the photoresistor and the voltage divider resistor are connected in series between the power supply and the ground terminal, and the voltage divider node is connected to the non-inverting input terminal of the operational amplifier;

[0032] The operational amplifier is configured as a voltage follower, and the output terminal outputs a light intensity signal after passing through a low-pass filter circuit.

[0033] During use, the photosensitive detection circuit of this application can determine the brightness inside the storage cabinet through the photoresistor, the voltage divider resistor can prevent electrostatic breakdown, and the low-pass filter can suppress high-frequency noise and improve signal stability.

[0034] In one possible design embodiment of this application:

[0035] An electric lock drive circuit is configured between the door of the electrical control cabinet and the control motherboard.

[0036] The electric lock drive circuit includes a MOSFET driver, an electromagnetic lock, and a Hall sensor connected to the control motherboard.

[0037] The Hall sensor is connected to the bolt of the electromagnetic lock;

[0038] A reset fuse and a freewheeling diode are also connected between the MOSFET driver and the control board.

[0039] During use, the device of this application uses a Hall sensor signal to verify the validity of the unlocking action in real time, and the PPTC fuse and software overcurrent detection work together.

[0040] In one possible design embodiment of this application:

[0041] The gate of the MOSFET driver is also connected to a series resistor and a pull-down resistor.

[0042] During use, the series resistor can limit the charging and discharging rate of the gate capacitor (Ciss) and eliminate the ringing phenomenon caused by high-frequency switching. The pull-down resistor is connected in parallel between the gate and the source to form a voltage divider network with R2 to avoid false gate triggering.

[0043] In one possible design embodiment of this application:

[0044] Both the touch screen and the control motherboard are connected to a tag recognition component;

[0045] The tag identification components include: an RFID radio frequency reader / writer, a decoding controller, and a power supply controller;

[0046] The output terminal of the RFID radio frequency reader is electrically connected to the decoding controller, and the decoding controller is electrically connected to the control terminal of the control motherboard.

[0047] The power controller is electrically connected to both the touch screen and the RFID reader.

[0048] During use, after successful verification, the device sends tag data to the control motherboard via UART, triggering the touchscreen to display device information. The RFID reader supports batch reading of a large number of tags per second. When the touchscreen is woken up, the power controller instantly starts the RFID module.

[0049] In one possible design embodiment of this application:

[0050] The RFID radio frequency reader / writer includes: an RFID reader / writer chip, a barcode scanner head, and a mode switching circuit; wherein,

[0051] The RFID reader / writer chip is electrically connected to the barcode scanner head via a mode switching circuit;

[0052] The RFID reader / writer chip adopts a dual-chip architecture of MFRC and RAIN RFID;

[0053] Barcode scanner: Employs an OV9281 CMOS image sensor with a resolution of 1280×800, supporting QR code / Code128 decoding.

[0054] During use, the device of this application is powered independently by dual chips and dynamically selected for activation through a mode switching circuit. When both NFC and UHF signals are detected simultaneously, NFC is responded to first. The customized lens group can achieve supplementary lighting.

[0055] In one possible design embodiment of this application:

[0056] The voice control device includes a microphone array, a hardware noise reduction circuit, and an offline voice recognition chip; wherein the offline voice recognition chip is electrically connected to the control motherboard, and the microphone array is electrically connected to the hardware noise reduction circuit.

[0057] The beneficial effects of the above technical solution are as follows:

[0058] Users can input the equipment name or number on the touchscreen display, and the system will automatically search for relevant information in the database and display the equipment's storage location on the screen (e.g., "3rd floor, 2nd storage cabinet"). Users can also query equipment information via voice commands (e.g., "Find microscope"). The voice control device will recognize the command, retrieve information from the database, and display the equipment's location on the touchscreen display. Users can connect to the laboratory's network system via Wi-Fi and remotely query equipment information and access records using a mobile phone or computer application. The panoramic camera system supports real-time monitoring, allowing users to view the real-time image inside the cabinet via remote devices, ensuring equipment safety and management. The system monitors the equipment's storage and access status in real time, and automatically triggers an alarm when abnormal operations are detected (e.g., unauthorized access), notifying management personnel via the communication module.

[0059] Other features and advantages of this invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of this invention can be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0060] The technical solution of this utility model will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0061] The accompanying drawings are provided to further illustrate the present invention and form part of the specification. They are used together with the embodiments of the present invention to explain the present invention, but do not constitute a limitation thereof. In the drawings:

[0062] Figure 1 This is a front view of the components of an AI intelligent equipment management device according to an embodiment of the present utility model;

[0063] Figure 2 This is a schematic diagram illustrating the composition principle of the communication component in an embodiment of this utility model;

[0064] Figure 3 This is a schematic diagram of the buck converter circuit in an embodiment of the present invention;

[0065] Figure 4 This is a schematic diagram illustrating the composition of the lighting control unit in an embodiment of this utility model.

[0066] Figure 5 This is a schematic diagram illustrating the composition of the photosensitive detection circuit in an embodiment of this utility model.

[0067] Figure 6 This is a schematic diagram of the composition of the electric lock drive circuit in an embodiment of this utility model;

[0068] Figure 7This is a schematic diagram of the MOSFET driver in an embodiment of the present invention;

[0069] Figure 8 This is a schematic diagram illustrating the composition principle of the tag recognition component in an embodiment of this utility model;

[0070] Figure 9 This is a schematic diagram illustrating the composition principle of the NFC card reader in this embodiment of the present invention.

[0071] Figure 10 This is a schematic diagram of the buck converter circuit in an embodiment of the present invention;

[0072] Figure 11 This is a side view of an AI intelligent equipment management device according to an embodiment of the present invention. Detailed Implementation

[0073] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0074] Example 1:

[0075] See Figure 1 and Figure 11 As shown, this utility model proposes an AI intelligent equipment management device. The housing of this application adopts a split design. The housing 10 includes an overall storage part 2 and an intelligent part 1 fixedly embedded in the storage part 2. The overall structure is fixedly connected by a metal frame. The housing 10 is made of fireproof and moisture-proof material. It is equipped with a control motherboard. In actual implementation, the control motherboard can be equipped with an AI chip, a storage module and a communication module. The control motherboard supports multi-protocol communication, such as Wi-Fi, Bluetooth, etc., and can also use ZigBee to realize data synchronization with the cloud server.

[0076] The intelligent unit 1 includes an electrical control cabinet and a control motherboard embedded inside the electrical control cabinet. The front of the electrical control cabinet is embedded with a panoramic camera device 22, a touch screen display 21, an NFC card reader 23, and a voice control device 24 that are electrically connected to the control motherboard.

[0077] The touch screen 21 primarily uses a capacitive touch screen to display whether the storage cabinets with different numbers are occupied or vacant, and the equipment information and operation menus are equipped with corresponding functions.

[0078] Storage section 2 includes multiple storage cabinets, each rotatably connected to an electrically controlled cabinet door. This allows users to quickly access and store equipment. Multiple independent storage cabinets are connected by hinged electrically controlled cabinet doors, each with a built-in electromagnetic lock driven by a control motherboard. Each storage cabinet has a unique ID, supporting equipment type-based storage. In practice, temperature and humidity sensors or weight sensors can also be installed inside the storage cabinets to monitor the equipment's environment and detect its weight.

[0079] Panoramic camera device: Used for real-time monitoring of equipment storage inside the enclosure, supporting remote viewing and recording functions. Touch screen display: Allows users to query equipment information, access records, and location information through a graphical interface. In actual implementation, it can also perform simultaneous facial recognition and RFID card identification on the panoramic camera device and NFC device, achieving dual identification and preventing equipment loss.

[0080] The display screen also features touch operation, allowing users to quickly locate the desired equipment via touch. Voice control: Supports voice recognition, enabling users to query equipment information, access records, and determine equipment location using voice commands. The voice control system can recognize multiple languages ​​and dialects, enhancing the user experience.

[0081] Intelligent Department Connectivity and Communication Module: Supports Bluetooth and Wi-Fi, specifically: Wi-Fi module: Supports connection to the laboratory's network system via Wi-Fi, allowing users to remotely query equipment information via mobile phones, tablets, or computers. Bluetooth module: Supports connection to mobile devices via Bluetooth, enabling users to quickly obtain equipment information at close range for convenient on-site operation.

[0082] In actual implementation, a corresponding database is also configured: basic information of storage equipment (such as name, model, quantity, storage location, etc.), access records, and usage status. Intelligent recognition system: Combining panoramic camera and voice control devices, it can automatically identify the storage location of the equipment and display relevant information on the touch screen.

[0083] In practical operation, users can input the equipment name or number on the touchscreen display. The system will automatically search for relevant information in the database and display the equipment's storage location on the screen (e.g., "3rd floor, 2nd storage cabinet"). Users can also query equipment information via voice commands (e.g., "Find microscope"). The voice control device will recognize the command, retrieve information from the database, and display the equipment's location on the touchscreen display. Users can connect to the laboratory's network system via Wi-Fi and remotely query equipment information and access records using a mobile phone or computer application. The panoramic camera system supports real-time monitoring, allowing users to view real-time images of the cabinet's interior via remote devices, ensuring equipment safety and management. The system monitors the equipment's access status in real time. When abnormal operations are detected (e.g., unauthorized access), an alarm will be automatically triggered, and management personnel will be notified via the communication module.

[0084] Example 2:

[0085] The control motherboard of this invention is also equipped with a communication component to realize network communication, integrates a multi-protocol processing core, realizes Bluetooth and quick pairing with the user's mobile phone, and manages sports equipment in the cloud.

[0086] See Figure 2 In actual implementation, the main communication chip adopts a chip that integrates Wi-Fi and Bluetooth Low Energy, supporting high-speed data transmission and low-power operation. The preferred chip model is ESP32-C6, which has a built-in RISC-V processor with a main frequency of 160MHz and supports a current of <5μA in Deep Sleep mode. In implementation, the main communication chip is woken up from deep sleep by detecting NFC card swiping or voice module trigger signals through GPIO. It has a built-in RTC clock to periodically wake up the device and then report status data.

[0087] The power module includes a buck converter circuit for connecting to 220V AC mains power, which is then converted into the power supply voltage for different components. First, the input voltage is converted to the operating voltage of the main communication chip and RF module, preferably using a DC-DC buck converter circuit with PWM-controlled MOSFET switches to achieve efficient power conversion while reducing heat generation.

[0088] The radio frequency (RF) module includes an RF switch and a matching network, which are used to switch the antenna transmit and receive states and optimize signal transmission. The matching network of the RF module has a π-type structure, and the preferred RF switch model is SKY13370, which can switch the connection path of the antenna between transmit and receive states.

[0089] The antenna module adopts a PCB inverted F-type antenna, which reduces the cost of the antenna. It is connected to the RF module through a matching network to ensure the stability and coverage of signal transmission. The antenna module uses a PCB inverted F-type antenna to operate in the 2.4GHz frequency band, with an impedance matching of 50Ω, a voltage standing wave ratio (VSWR) of <1.5, and a gain of ≥2.2dBi.

[0090] The low-power control module is equipped with an external interrupt wake-up circuit and a timer wake-up circuit to control the main control module to switch between active mode and deep sleep mode, reducing system power consumption. Both the external interrupt wake-up circuit and the timer wake-up circuit use a general-purpose module with both circuits configured in the low-power control module.

[0091] Example 3:

[0092] The buck circuit of this application is a multi-stage buck circuit, comprising multiple sub-circuits. Each sub-circuit is configured with an energy storage inductor and a MOSFET switch, see [reference needed]. Figure 3 :

[0093] The two-stage buck converter circuit of this application can be configured in series or in parallel. Each circuit consists of an independent MOSFET and an energy storage inductor. The source of the MOSFET is connected to the AC input port, and the drain is connected through the inductor. In parallel mode, the different circuits reduce the current ripple of the input current by interleaving the phases of the PWM signals (PWM2 and PWM1).

[0094] In series mode, this application enables high-voltage to low-voltage conversion; in parallel mode, it enables high-current output and control of high-current components, such as the rotating mechanism of a cabinet door.

[0095] The digital control module of this application adopts a multi-channel PWM controller, which outputs a phase-adjustable PWM signal to control the gate voltage of different MOSFETs, dynamically adjusts the duty cycle of the load, and is connected in series. The output of the previous stage is used as the input of the next stage to achieve step-by-step voltage reduction. In parallel mode, the output of each sub-circuit can be balanced through current feedback.

[0096] The voltage sampling circuit uses a resistor network connected in parallel to each stage output of the digital control module to adjust the voltage division ratio and realize current acquisition. The current sampling circuit is connected in series with a high-precision shunt resistor and works with a differential amplifier to monitor the current. At the same time, it is configured with overcurrent triggering to shut down the PWM output when an overcurrent occurs.

[0097] An ADC converter is an ADS chip that integrates a 12-bit ADC, which can convert analog signals into digital signals. Its multi-stage structure reduces single-unit losses.

[0098] Example 4:

[0099] The control board of this application is also connected to a lighting control unit configured on each electrical control cabinet door. The lighting control unit is installed on the cabinet door and includes LED light groups connected to each storage compartment of the cabinet. The LED light groups are connected in series with an infrared sensor array and a photosensitive detection circuit. See [reference needed] Figure 4 :

[0100] The lighting control unit is primarily embedded in the frame inside the electrical control cabinet door, with each cabinet containing its own unit. The lighting control unit uses a photosensitive detection circuit to sense the brightness of the light emitted, integrating a photoresistor and comparator to output a digital signal of ambient light. It also detects human presence using a linear array of multiple pyroelectric infrared sensors. Furthermore, it employs high-brightness surface-mount LEDs, with each cabinet equipped with an independent light strip supporting both multi-color and single-color light.

[0101] The LED lights and sensors are all connected to a 12V DC power supply, which is distributed to different storage cabinets via a control motherboard. The storage cabinets have wiring channels inside to hide the circuitry.

[0102] After light sensing, the ambient light signal is converted into a digital signal by an ADC converter and transmitted to the intelligent dimming algorithm for feedback control, generating control commands for brightness and color temperature. Then, it passes through a constant current driver chip to maintain stable brightness. The LED light group supports multi-color encoding of LEDs, which can realize alarm for equipment failure. The control motherboard guides the user to quickly locate the target equipment through the color / flicker frequency of the LED light group. The LED color can also be linked with the equipment status database to display the equipment status through the LED color.

[0103] Example 5:

[0104] The photosensitive detection circuit of this application includes: a photoresistor, a voltage divider resistor, an operational amplifier, and a low-pass filter circuit; wherein, the photoresistor and the voltage divider resistor are connected in series between the power supply and the ground terminal, and the voltage divider node is connected to the non-inverting input terminal of the operational amplifier; the operational amplifier is configured as a voltage follower, and its output terminal outputs a light intensity signal after passing through the low-pass filter circuit. (See also...) Figure 5 In the implementation of this application, the characteristic that the resistance of a photoresistor changes significantly with light intensity is utilized to achieve wide-range detection. The photoresistor and the voltage divider resistor are located between the power supply and the ground terminal, with the voltage divider node located at the connection point between the two. Thus, the ambient light intensity can be dynamically changed at the voltage divider node by the change in the structure of the photoresistor. The voltage divider resistor R1 can be matched with the photoresistor RG to achieve control over the change in brightness.

[0105] The voltage follower is part of the operational amplifier. Its non-inverting input is connected to a voltage divider node, and its inverting input is shorted to the output, achieving both high and low input impedance. This isolates the preceding and following stages, preventing different components from affecting the voltage divider accuracy. The low-pass filter is a single-stage RC passive filter that eliminates high-frequency interference and improves the stability of the detection signal. The operational amplifier LM358 is preferred. The filtered signal, along with the ADC on the control board and the built-in brightness adjustment algorithm, generates the corresponding PWM signal to drive the LEDs inside the cabinet, adjusting the brightness or directly turning the LED groups on and off.

[0106] Example 6:

[0107] The electric control cabinet door of this application is equipped with an electric lock drive circuit between it and the control main board; wherein, the electric lock drive circuit includes a MOSFET driver, an electromagnetic lock, and a Hall sensor connected to the control main board; the Hall sensor is connected to the latch of the electromagnetic lock; a reset fuse and a freewheeling diode are also connected between the MOSFET driver and the control main board. See reference. Figure 6 :

[0108] The MOSFET driver in this application uses a half-bridge driver or a discrete MOSFET driver, with a gate series resistor to suppress oscillation. In its specific implementation, it receives a PWM signal from the control motherboard and outputs a drive current to drive the coil of the electromagnetic lock. During this process, a Hall sensor is embedded at the end of the fixed bolt movement path and can output a special signal of the bolt to prevent external electromagnetic interference. The electromagnetic lock is a push-pull type with a built-in spring reset structure.

[0109] The Hall sensor can output the status of the corresponding safe deposit box by comparing the position signal of the electromagnetic lock's bolt with the signal from the comparison circuit, and then display it on the touch screen.

[0110] During the operation of the safe's door, the reset fuse is a self-resetting PPTC fuse. The electromagnetic lock has current-limiting protection and automatically resets after a fault is cleared. The freewheeling diode is a fast recovery diode connected in parallel across the electromagnetic lock coil to absorb the back electromotive force when the MOSFET is turned off, protecting the driver components. The Hall sensor verifies the validity of the unlocking action in real time, avoiding false judgments due to mechanical jamming. The freewheeling diode suppresses the turn-off peak voltage from 80V to a safe range, extending the MOSFET's lifespan. The MOSFET driver and electromagnetic lock interface use a potting sealant process, suitable for sports equipment.

[0111] Example 7:

[0112] The gate of the MOSFET driver in this application is also connected to a series resistor R2 and a pull-down resistor R3. (See also...) Figure 7In this application, the series resistor R2 can limit the charging and discharging rate of the gate driver chip, eliminate ringing caused by high-frequency switching, and prevent overcurrent damage to the driver chip. Furthermore, its layout is close to the gate pin of the MOSFET, and it is a surface-mount resistor. The pull-down resistor R3 can pull the gate voltage down to GND when the control signal is floating or at high impedance, ensuring complete turn-off of the MOSFET and avoiding false gate triggering caused by electromagnetic interference. It is connected in parallel between the gate and source, forming a voltage divider network with R2.

[0113] Example 8:

[0114] The touchscreen display and control motherboard of this application are both connected to a tag identification component. The tag identification component includes an RFID reader / writer, a decoder controller, and a power supply controller. The output terminal of the RFID reader / writer is electrically connected to the decoder controller, the decoder controller is electrically connected to the control terminal of the control motherboard, and the power supply controller is electrically connected to both the touchscreen display and the RFID reader / writer. (See also...) Figure 8 :

[0115] After receiving power from the power controller, the RFID radio frequency reader of this application connects to the decoding controller via the SPI interface at its output end to transmit the original radio frequency signal and generate electronic tags. Its operating frequency band supports high frequency and ultra-high frequency.

[0116] The decoding controller can convert the analog signals of the RFID reader into digital tag IDs. It integrates an ARM Cortex-M0 microcontroller and a dedicated decoding coprocessor. After successful verification, it sends tag data to the control motherboard via UART, triggering the touch screen to display device information.

[0117] Example 9:

[0118] The RFID radio frequency reader / writer of this application includes: an RFID reader / writer chip, a barcode scanner head, and a mode switching circuit; wherein,

[0119] The RFID reader / writer chip is electrically connected to the barcode scanner head via a mode switching circuit;

[0120] The RFID reader / writer chip adopts a dual-chip architecture of MFRC and RAIN RFID;

[0121] Barcode scanner: Employs an OV9281 CMOS image sensor with a resolution of 1280×800, supporting QR code / Code128 decoding. (See also...) Figure 9 :

[0122] In actual implementation:

[0123] RFID reader / writer chip: adopts a dual-chip architecture of MFRC522 (13.56MHz) and RAIN RFID EM4425 (900MHz); barcode scanner: adopts OV9281 CMOS image sensor with a resolution of 1280×800, and supports QR code / Code 128 decoding; mode switching circuit: automatically selects the RFID or barcode working path through an analog switch (TS5A23157).

[0124] The dual-chip RFID read / write architecture enables high-precision identification and large-scale equipment inventory. The two chips are independently powered and dynamically selected for activation via a mode switching circuit. This circuit employs a four-channel analog switch, with control signals derived from NFC control, automatically switching between NFC and UHF tags / barcodes based on the target type. When both NFC and UHF signals are detected simultaneously, NFC is prioritized, improving the timeliness of interaction.

[0125] Example 10:

[0126] The voice control device includes: a microphone array, a hardware noise reduction circuit, and an offline voice recognition chip; wherein, the offline voice recognition chip is electrically connected to the control motherboard, and the microphone array is electrically connected to the hardware noise reduction circuit. (See also...) Figure 10 :

[0127] In practical implementation, the microphone array consists of multiple MEMS microphones forming an array. Beamforming algorithms are used to directionally enhance the target sound source (such as user voice) and suppress lateral and rear environmental noise (such as laboratory equipment operation noise).

[0128] Hardware noise reduction circuit: Real-time noise cancellation is achieved based on audio DSP (such as ADAU1772), including: Active noise cancellation (ANC): generating inverted sound waves to cancel background noise; Frequency domain filtering: high-pass filter (100Hz cutoff) to filter out low-frequency vibration noise (such as air conditioner hum).

[0129] Dynamic Gain Control (AGC): Automatically adjusts the amplification factor based on the input volume to avoid signal saturation. This is the core function of the offline speech recognition chip. Localized Processing: Offline speech recognition chips (such as the ASR1000) have built-in pre-trained acoustic models and Finite State Syntax (FSG), enabling them to complete the following processes without relying on a cloud server: Wake-up Word Detection: Triggers device response through pre-registered keywords (such as "open the safe"); Command Recognition: Parses user commands (such as "take out the microscope") and converts them into control signal output. Low-Power Design: The chip integrates a dedicated NPU (Neural Processing Unit), reducing speech processing power consumption by 90% compared to general-purpose MCUs. The offline speech recognition chip communicates with the control motherboard via SPI / I2C interfaces, transmitting command codes in real time (such as "Open_Locker_3"); if the recognition confidence is below a threshold (such as <80%), a secondary confirmation process is triggered (such as flashing lights to prompt the user to repeat the command).

[0130] Obviously, those skilled in the art can make various modifications and variations to this utility model without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this utility model and their equivalents, this utility model also intends to include these modifications and variations.

Claims

1. An AI intelligent equipment management device, characterized in that, The utility model relates to a kind of intelligent storage cabinet, including: Box (10), wherein the box (10) includes storage part (2), and fixedly embedded in storage part (2) smart part (1); The smart part (1) includes electric control cabinet and control mainboard embedded in the inside of electric control cabinet, and the front of electric control cabinet is embedded with panoramic camera (22) electrically connected with control mainboard, touch display screen (21), NFC card swiping device (23) and voice control device (24); The storage part (2) includes a plurality of storage cabinets, and the storage cabinet is rotatably connected with the door of electric control cabinet.

2. The AI intelligent device management apparatus of claim 1, wherein, The control mainboard is embedded with a communication component, which includes: Main communication chip, power module, radio frequency module, antenna module, communication interface module and low-power control module; The communication interface module integrates Wi-Fi module and Bluetooth module, and the Wi-Fi module and the Bluetooth module are connected with external devices through the communication interface module; The power module includes a step-down conversion circuit, and the input end of the step-down conversion circuit is electrically connected with the power access end, and the output end of the step-down conversion circuit is respectively connected with the power supply port of the main communication chip and the power supply port of the radio frequency module; The radio frequency module includes a radio frequency switch and a matching network, the input end of the radio frequency switch is electrically connected with the radio frequency signal output end of the main communication chip, and the output end of the radio frequency switch is electrically connected with the antenna module through the matching network; wherein the antenna module is a PCB inverted F antenna; The low-power control module is configured with an external interrupt wake-up circuit and a timer wake-up circuit, and the signal output end of the low-power control module is electrically connected with the control input end of the communication interface module.

3. The AI intelligent device management apparatus of claim 2, wherein, The step-down conversion circuit is a multi-stage step-down main circuit, which includes at least two series or parallel step-down sub-circuits, each sub-circuit is composed of an independent MOS switch (Q1-Qn) and an energy storage inductor (L1-Ln); wherein the source of the MOS switch is connected with the output end of the power access end, and the drain is grounded through the energy storage inductor; The digital control module includes a PWM signal output end, which is respectively connected with the gate of the MOS switch of each sub-circuit; The feedback sampling module includes a voltage sampling circuit connected in parallel at the output end of each step-down sub-circuit and a current sampling circuit connected in series, and the output end is connected to the feedback input end of the digital control module through an ADC converter.

4. The AI intelligent device management apparatus of claim 1, wherein, The control mainboard is also connected with a light control unit arranged on each electric control cabinet door, and the light control unit is installed on the cabinet door of the storage cabinet. The light control unit includes a LED lamp group connected with each storage compartment of the storage cabinet. The LED lamp group is connected with an infrared sensor array and a photosensitive detection circuit.

5. The AI intelligent device management apparatus of claim 4, wherein, The photosensitive detection circuit includes a photosensitive resistor (RG), a voltage dividing resistor (R1), an operational amplifier, and a low-pass filter circuit. Wherein, the photosensitive resistor and the voltage dividing resistor are connected in series between the power supply of the light control unit and the ground, and the voltage dividing node is connected with the non-inverting input end of the operational amplifier. The operational amplifier is configured as a voltage follower, and the output end is electrically connected with the input end of the low-pass filter circuit.

6. The AI intelligent device management apparatus of claim 1, wherein, An electric control lock driving circuit is arranged between the electric control cabinet door and the control mainboard. Wherein, the electric control lock driving circuit includes a MOSFET driver connected with the control mainboard, an electromagnetic lock, and a Hall sensor. The Hall sensor is connected with a lock tongue of the electromagnetic lock. A recovery fuse and a freewheeling diode are further connected between the MOSFET driver and the control mainboard.

7. The AI intelligent device management apparatus of claim 6, wherein, The gate of the MOSFET driver is further connected with a series resistor R2 and a pull-down resistor R3.

8. The AI intelligent device management apparatus of claim 1, wherein, The touch display screen and the control mainboard are both connected with a tag identification component. The tag identification component comprises an RFID radio frequency reader, a decoding controller and a power supply controller. The output end of the RFID radio frequency reader is electrically connected with the decoding controller, and the decoding controller is electrically connected with the control end of the control mainboard. The power supply controller is electrically connected with the touch display screen and the RFID radio frequency reader respectively.

9. The AI intelligent device management apparatus of claim 8, wherein, The NFC card swiping device (23) comprises an NFC controller and an RFID radio frequency reader, and the RFID radio frequency reader comprises an RFID read-write chip, a barcode scanning head and a mode switching circuit. The RFID read-write chip is electrically connected with the barcode scanning head through the mode switching circuit. The RFID read-write chip adopts a MFRC and RAIN RFID dual-chip architecture. The barcode scanning head adopts an OV9281 CMOS image sensor with a resolution of 1280*800 and supports QR code / Code 128 decoding.

10. The AI intelligent device management apparatus of claim 1, wherein, The voice control device comprises a microphone array, a hardware noise reduction circuit and an offline voice recognition chip, wherein the offline voice recognition chip is electrically connected with the control mainboard, and the microphone array is electrically connected with the hardware noise reduction circuit.

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