Intelligent central control system for exhibition hall

Abstract

The invention belongs to the technical field of intelligent exhibition hall control, and relates to an exhibition hall intelligent central control system which comprises a central controller, a space positioning module, an interaction terminal and a data processing server. The central controller realizes unified control of heterogeneous equipment through the multi-protocol conversion unit, and eliminates extra gateway requirements; the space positioning module generates a visitor thermodynamic diagram based on UWB positioning, and drives equipment to be dynamically activated according to people flow distribution; a linkage logic library and a path planning engine are arranged in the data processing server, and a voice control interface and an equipment state monitoring unit are combined, so that security encryption instruction transmission, fault prediction and dynamic energy regulation are realized, a spatial perception-decision-execution closed-loop control system is formed, and the visiting experience and the operation efficiency are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent exhibition hall control, more specifically, the present application relates to an intelligent central control system for exhibition hall. BACKGROUND

[0002] As the core infrastructure of modern exhibition halls, the intelligent control system for exhibition hall aims to improve the visiting experience and operational efficiency through the central control management of integrated lighting, multimedia, and environmental regulation equipment. With the development of Internet of Things technology and positioning technology, the industry has gradually evolved from basic remote control to spatial perception-type intelligent central control, requiring solutions to key problems such as multi-source device collaboration, dynamic response to human flow, and fine management of energy. The existing technology has the following deficiencies: 1. Poor compatibility of multi-protocol devices Current mainstream central control systems usually only support a single or limited communication protocol. When different brands of devices are connected to the exhibition hall, additional protocol gateways need to be deployed for bridging, resulting in a significant increase in system complexity and high latency in cross-brand device collaboration, which cannot meet the real-time interaction requirements.

[0003] 2. Static control strategy lacks spatial perception ability Traditional systems rely on preset time or manual scene mode and cannot dynamically adjust device status according to the actual location of visitors. For example, when visitors concentrate in a certain exhibition area, the lighting and air conditioning in adjacent areas still run at full power; when the flow is sparse, it cannot automatically save energy, causing energy waste.

[0004] 3. Weak safety protection mechanism The existing technology lacks linkage protection between device operation and personnel location. When controlling high-power laser devices or mechanical devices, if visitors mistakenly enter dangerous areas (such as within 1 meter of a laser emitter), the system has no real-time distance detection and emergency braking capability, posing a risk of personal injury.

[0005] 4. Fault handling relies on manual inspection Device anomaly monitoring is mostly based on simple threshold alarms (such as temperature exceeding limits), lacking predictive maintenance capabilities. Maintenance personnel need to regularly check the device status on site, with an average fault response time of more than 2 hours, causing exhibition downtime and affecting the visiting experience.

[0006] Therefore, a kind of intelligent central control system for exhibition hall is proposed to solve the above problems. SUMMARY

[0007] To overcome the above-mentioned deficiencies of the prior art, embodiments of the present application provide an intelligent central control system for exhibition hall to solve the problems raised in the background art.

[0008] In order to achieve the above object, the present application provides the following technical scheme: an intelligent central control system for exhibition hall, comprising a central controller, a space positioning module, an interactive terminal and a data processing server; the central controller integrates a multi-protocol conversion unit, supports real-time mutual conversion of at least five kinds of heterogeneous device communication protocols, including RS485 industrial bus protocol, Modbus TCP network protocol, ZigBee wireless sensor network protocol, KNX building control protocol and standard WiFi protocol; the space positioning module realizes real-time tracking of three-dimensional space coordinates with millimeter-level precision through an ultra-wideband (UWB) positioning base station array arranged at the top of the exhibition hall and a micro positioning tag worn by visitors, and generates a dynamic visiting heat map based on space-time data; the interactive terminal is equipped with a touch screen interface and a microphone array, and provides scene mode selection and voice control dual-channel input; the data processing server connects the above modules through a fiber network, and internally has a device linkage logic database and a real-time path planning engine.

[0009] Preferably, the multi-protocol conversion unit has adaptive baud rate adjustment and protocol self-learning capability, when a new access device using an un-preset communication protocol is detected, the control instruction code set thereof is automatically recorded and a protocol mapping table is constructed, and the instruction delay is maintained below 200 milliseconds during protocol conversion, ensuring the real-time responsiveness of multi-brand device cross-protocol collaborative control.

[0010] Preferably, the device linkage logic database stores rules including: dynamically adjusting device activation strategy according to the real-time distance between the visitor and the exhibition center, automatically turning on the lighting system and multimedia devices in the region when the distance enters a 3-meter sensing area, and intelligently preloading adjacent exhibition area content according to the visitor's moving speed; when there is no visitor in a specific exhibition area for 5 minutes, automatically turn off high-power devices and switch to standby mode; when there is a conflict between multi-exhibition area instructions, control according to the device power level and safety priority execution order.

[0011] Preferably, the real-time path planning engine analyzes the crowd density trend of the visiting heat map through a machine learning algorithm, when it identifies that the number of people per unit area in a local area exceeds a preset threshold, it automatically generates more than three anti-crowd guide routes and evaluates the optimal path, while linking the central controller to adjust the sound and light devices of the target exhibition area to attract people and disperse, and the path data is pushed to the augmented reality navigation interface of the interactive terminal in real time.

[0012] Preferably, the system adds a device health monitoring unit, which collects and analyzes key parameters such as projector cooling fan speed, electric curtain motor current, LED lighting module color temperature deviation, etc. in real time, establishes a device fault prediction model, and when the parameter anomaly exceeds the safety threshold, it automatically switches to the standby device, and sends an encrypted alarm containing the fault code and positioning information to the operation and maintenance personnel through the 4G network.

[0013] Preferably, the voice control interface uses a localized neural network semantic recognition engine, which can parse composite voice commands containing "exhibit number + control action" offline; all transmitted commands are protected end-to-end using a 256-bit AES-GCM encryption algorithm to prevent control commands from being tampered with or intercepted during transmission.

[0014] Preferably, the system is connected to an intelligent energy management unit, which generates a time-based dynamic energy-saving strategy based on historical equipment operation data and exhibition hall reservation information. This strategy includes: automatically reducing the power of the air conditioning unit during off-peak hours, cutting off the power supply circuit for non-security equipment during non-open hours, and optimizing the power supply quality in real time through a power factor correction module to achieve overall energy consumption reduction.

[0015] The control method for the above system is executed in the following steps: The spatial positioning module collects visitor coordinate data at a frequency of 10 times per second and constructs a movement trajectory model. The control command sequence is generated based on the real-time location matching device linkage logic rules. If a conflict is detected between the projector turning on and the motorized screen lowering command, a 500-millisecond delay is inserted to wait for the projector to complete initialization. The central controller converts the instructions into the target device's communication protocol format, which is then verified by the multi-protocol conversion unit before being sent out for execution. The device's operating status and real-time pedestrian flow heat map distribution are simultaneously highlighted on the interactive terminal's 3D map interface.

[0016] Preferably, multi-level safety verification is added before the command is issued: when the controlled object involves high-power laser equipment or mechanical lifting device, the spatial three-dimensional distance between the visitor and the equipment is calculated by fusing UWB positioning data and infrared depth sensor information. If the minimum distance is less than 1.2 meters, the command is suspended and a voice warning and vibration reminder are broadcast through the interactive terminal.

[0017] The technical effects and advantages of this invention are as follows: Compared with existing technologies, this invention achieves plug-and-play control of heterogeneous devices through a multi-protocol conversion unit built into the central controller, eliminating the need for additional gateways; based on UWB positioning and heat map analysis technology, it constructs a dynamic response mechanism centered on visitor location, enabling the device activation range to accurately match the actual flow of people; it combines offline voice recognition and encrypted transmission technology to ensure the security and reliability of control commands; through the collaboration of the device status monitoring unit and machine learning model, it achieves early warning of fault risks and automatic switching of backup systems; relying on the time-sharing strategy and dynamic power adjustment function of the energy management unit, it achieves a balance between equipment operation and energy efficiency; ultimately, while improving the visitor experience, it forms a closed-loop control system covering the entire process from spatial perception and intelligent decision-making to safety protection. Attached Figure Description

[0018] Fig. 1 This is a system framework diagram of the present invention.

[0019] Fig. 2 This is a flowchart of the process of the present invention.

[0020] Fig. 3 This is a flowchart illustrating the safety control process of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Example 1: As attached Figs. 1-3 As shown, (1) an intelligent central control system for an exhibition hall includes a central controller, a spatial positioning module, an interactive terminal, and a data processing server; the central controller integrates a multi-protocol conversion unit, supporting real-time conversion of at least five heterogeneous device communication protocols, including RS485 industrial bus protocol, Modbus TCP network protocol, ZigBee wireless sensor network protocol, KNX building control protocol, and standard WiFi protocol; the spatial positioning module achieves real-time tracking of three-dimensional spatial coordinates with millimeter-level precision through an ultra-wideband UWB positioning base station array deployed on the top of the exhibition hall and a miniature positioning tag worn by visitors, and generates a dynamic visitor heat map based on spatiotemporal data; the interactive terminal is equipped with a touch screen interface and a microphone array, providing dual-channel input for scene mode selection and voice control; the data processing server is connected to the above modules through an optical fiber network, and has a built-in device linkage logic database and real-time path planning engine, wherein the central controller adopts an embedded Linux system with a multi-protocol conversion unit, and its hardware substrate integrates R The system includes an S485 physical layer chip, a ZigBee RF module, a KNX bus coupler, and a dual-band WiFi module. The spatial positioning module consists of 32 UWB dual-band positioning base stations (operating frequency bands 6.5GHz / 8GHz) deployed on the ceiling grid nodes of the exhibition hall, along with wristband positioning tags for visitors. The tags transmit pulse signals at a frequency of 20 times per second, achieving a three-dimensional spatial positioning accuracy of ±0.1 meters through a TOF (Time of Arrival) algorithm. The data processing server inputs the positioning data into a heatmap generation algorithm based on OpenCV, outputting a real-time crowd density distribution map. The interactive terminal is a 10-inch industrial-grade touchscreen with an integrated 4-microphone circular array, connected to the server via an HDMI interface to obtain a scene-mode operation interface.

[0023] (2) The multi-protocol conversion unit has adaptive baud rate adjustment and protocol self-learning capabilities. When a new access device is detected using a communication protocol that is not preset, it automatically records its control command code set and constructs a protocol mapping table. During the protocol conversion process, it maintains a command delay of less than 200 milliseconds to ensure the real-time responsiveness of cross-protocol collaborative control of multi-brand devices. The adaptive baud rate adjustment of the multi-protocol conversion unit is dynamically achieved by monitoring the device response delay: when the Modbus TCP device response timeout is detected to be >300ms, the baud rate is automatically reduced from 115200bps to 57600bps. The protocol self-learning function is for devices without preset protocols (such as new smart lamps). It starts the sniffing mode to capture their control command data packets, parses the start bit / stop bit structure and constructs a protocol mapping table. For example, it maps "0xFA 0x12" to the "turn on the main light" command. This process is completed in the FPGA logic unit to ensure that the conversion delay is <200ms.

[0024] (3) The rules stored in the device linkage logic database include: dynamically adjusting the device activation strategy according to the real-time distance between the visitor and the exhibition center; automatically turning on the lighting system and multimedia equipment in the area when the distance enters the 3-meter sensing zone; and intelligently preloading the content of adjacent exhibition areas according to the visitor's movement speed; automatically turning off high-power devices and switching to standby mode when there are no visitors in a specific exhibition area for 5 consecutive minutes; and executing sequential control according to the device power level and safety priority when multiple exhibition area instructions conflict. The device linkage logic rule execution process includes: real-time calculation of parameters by the laser ranging sensor. When the distance between the viewer and the center of the exhibit is ≤3 meters, the STM32 control chip is triggered to send a relay closing signal, activating the downlights and projector in that area. Simultaneously, based on the visitor's movement speed (calculated through position coordinate difference), content from adjacent exhibition areas is preloaded; if the speed is >1m / s, video files are buffered in advance. After 5 minutes without visitors, the PLC controller cuts off the main power supply to the equipment and switches to STM32 standby mode (power consumption <0.5W). In case of multiple command conflicts, priority matrix processing is used; for example, the curtain lifting command (safety level 1) takes precedence over the lighting adjustment command (safety level 2).

[0025] (4) The real-time path planning engine analyzes the trend of crowd density changes in the heat map of visitors through machine learning algorithms. When it is found that the number of people per unit area in a local area exceeds the preset threshold, it automatically generates more than three congestion avoidance guide routes and evaluates the optimal route. At the same time, it links the central controller to adjust the sound and light equipment of the target exhibition area to attract crowds to disperse. The path data is pushed to the augmented reality navigation interface of the interactive terminal in real time. The path planning engine adopts a random forest machine learning model. The input parameters include: real-time heat map density matrix, historical visitor peak data, and exhibition area weight coefficient. When the density of exhibition area A is detected to be >2 people / ㎡, the engine calculates the congestion index of the three routes (path length × real-time density), selects the route with the lowest index (such as the route of exhibition area B→C→D) and pushes it to the interactive terminal. At the same time, it controls the equipment of the target exhibition area through the DMX512 protocol: increases the lighting brightness of the area by 15% and starts directional sound broadcasting of the tour words to achieve crowd diversion.

[0026] (5) The system adds an equipment health monitoring unit to collect and analyze key parameters such as the speed of the projector cooling fan, the current of the electric screen motor, and the color temperature offset of the LED lighting module in real time. It establishes an equipment fault prediction model. When the parameters are abnormal and exceed the safety threshold, it automatically switches to the backup equipment and sends an encrypted alarm containing fault codes and location information to the maintenance personnel through the 4G network. The equipment health monitoring unit collects parameters through the sensor network: the PT100 temperature sensor monitors the temperature of the projector heat sink, the Hall current sensor detects the working current of the screen motor, and the spectrometer samples the LED color temperature value. The fault prediction model adopts an LSTM neural network. The training data contains 2,000 sets of equipment fault pre-fault parameter sequences. When the predicted fault probability is >85% (such as detecting a sudden increase of 30% in motor current for 10 seconds), it automatically switches to the backup equipment and generates a JSON format alarm message, which is encrypted by RSA-2048 and sent to the maintenance platform through the SIM800L 4G module.

[0027] (6) The voice control interface adopts a localized neural network semantic recognition engine, which can parse composite voice commands containing "exhibit number + control action" offline; all transmission commands are protected end-to-end with 256-bit AES-GCM encryption algorithm to prevent control commands from being tampered with or intercepted during transmission. The neural network recognition engine of the voice control interface is built on the TensorFlow Lite framework. The offline voice library contains 200 "exhibit number + action" commands (such as "exhibit A101 starts narration"). After MFCC feature extraction, it is input into a bidirectional GRU network for classification. The command is executed when the confidence level is >0.95. The encryption process uses the hardware encryption chip ATECC608A to implement AES-GCM encryption. Each command packet is attached with a 16-byte authentication tag (AuthTag) to prevent man-in-the-middle attacks.

[0028] (7) The system is connected to an intelligent energy management unit. Based on historical equipment operation data and exhibition hall reservation information, the unit generates a time-sharing dynamic energy-saving strategy, including: automatically reducing the power of the air conditioning unit during off-peak hours, cutting off the power supply circuit of non-security equipment during non-open hours, and optimizing the power supply quality in real time through the power factor correction module to achieve overall energy consumption reduction. The intelligent energy management unit is connected to the smart meter and the IoT air conditioning gateway. The time-sharing strategy execution process is as follows: when the reservation system detects that the number of visitors on the day is less than 50, the air conditioning set temperature is increased from 22°C to 25°C through the Modbus RTU protocol; the AC220V power supply circuit of non-security equipment is automatically cut off after the museum closes every day (the DC12V security circuit is retained); the power factor correction module adopts an SVG dynamic reactive power compensation device to adjust the LC filter network parameters in real time to make the power factor > 0.95.

[0029] (8) The control method of the above system is executed in the following steps: The spatial positioning module collects visitor coordinate data at a frequency of 10 times per second and constructs a movement trajectory model. The control command sequence is generated based on the real-time location matching device linkage logic rules. If a conflict is detected between the projector turning on and the motorized screen lowering command, a 500-millisecond delay is inserted to wait for the projector to complete initialization. The central controller converts the instructions into the target device's communication protocol format, which is then verified by the multi-protocol conversion unit before being sent out for execution. The interactive terminal's 3D map interface synchronously highlights the device's operating status and real-time pedestrian flow heat map distribution. The control method's hardware execution flow is as follows: UWB positioning data is used to construct a movement trajectory after Kalman filtering. When a coordinate point falls within the polygon range of the exhibition area 10 times consecutively, it is determined to be a valid stop. Command conflict resolution is achieved through a hardware timer. After the projector is turned on, a 500ms timer is started. During this period, the screen lowering command is temporarily stored in a FIFO queue. The command is released when the timer ends. The protocol conversion result is broadcast down via RS485 bus, and the device status is transmitted back to the server via SNMP protocol. The interactive terminal's 3D map is rendered based on the Unity engine, and the heat map is displayed by overlaying red (high density) to blue (low density) color spectrum.

[0030] (9) The above control method adds multi-level safety verification before the instruction is issued: When the controlled object involves high-power laser equipment or mechanical lifting device, the spatial three-dimensional distance between the visitor and the equipment is calculated by fusing UWB positioning data and infrared depth sensor information. If the minimum distance is less than 1.2 meters, the instruction is suspended and a voice warning and vibration reminder are broadcast through the interactive terminal. The safety verification process is executed in layers: the first layer calculates the three-dimensional Euclidean distance between the visitor and the laser equipment using UWB positioning data; the second layer uses the VL53L5CX laser radar sensor for secondary ranging (accuracy ±1cm); when the minimum distance is determined to be <1.2 meters, the STM32 chip pulls the GPIO pin high to trigger the hardware interlock circuit, and at the same time drives the vibration motor of the interactive terminal and broadcasts the voice warning "dangerous area, please retreat" until the distance is >1.5 meters and then the lock is released.

[0031] Example 2: Multi-source data joint modeling scenario Step 1: System Hardware Startup and Initialization After powering on, the central controller loads the embedded Linux system and initializes the multi-protocol conversion unit: activating the RS485 physical layer chip (default baud rate 115200bps), ZigBee coordinator (channel 11), KNX bus coupler (group address 0.0.1), and WiFi module (2.4GHz / 5GHz dual-band connection). Simultaneously, the spatial positioning module activates 32 UWB base stations, each transmitting pulse signals in both 6.5GHz and 8GHz dual-bands to synchronize with the visitor's wristband tag.

[0032] Step 2: Visitor Localization and Trajectory Modeling Visitors wear wristband tags that emit nanosecond-level pulses every 50 milliseconds. The base station obtains the raw distance data by measuring the signal arrival time difference (algorithm principle: the time interval between signal transmission and reception is multiplied by the speed of light to calculate the distance). The positioning engine uses weighted least squares method (algorithm logic: fitting the optimal three-dimensional coordinate point through distance data from multiple base stations) to calculate the real-time position. After noise reduction by a Kalman filter, the visitor's coordinate sequence is updated at a period of 0.1 seconds to construct a movement trajectory model.

[0033] Step 3: Heatmap Generation and Crowd Flow Analysis The data processing server receives the coordinate data of all visitors and divides the exhibition hall into 0.5m × 0.5m grid units. Based on the kernel density estimation algorithm (implementation method: calculating the cumulative weight value of the surrounding grids according to a Gaussian function distribution with each coordinate point as the center), a red (high density) to blue (low density) gradient heat map is generated. When a grid unit is detected to have a density > 3 people / ㎡ for 5 minutes, it is marked as a congested area.

[0034] Step 4: Offline parsing of voice commands Visitors speak the command "Turn on the lights for exhibit B205" through the microphone on the interactive terminal, and the local neural network engine executes the command. Feature extraction: The sound wave is converted into 40-dimensional MFCC coefficients (Mel frequency cepstral coefficients, which characterize the sound spectrum features). Semantic matching: A bidirectional GRU network compares the results against a pre-stored instruction library and outputs a confidence score. Command generation: If the confidence level is >95%, convert it into JSON format control command {"device":"B205_light","action":"on"}.

[0035] Step 5: Device linkage logic matching The central controller queries the device linkage database based on real-time location and voice commands: Location trigger: When a visitor enters within 3 meters of an exhibit, the search rule "IF coordinates ∈ Exhibition Area A THEN Activate Projector + Downlights in Area A" is applied. Voice trigger: After parsing "Exhibition B205 turns on the light", search for "IF instruction = 'B205_light_on' THEN close relay K205". Conflict handling: If both the curtain lowering (priority 1) and the lighting adjustment (priority 2) are received simultaneously, the lighting command will be delayed by 500 milliseconds.

[0036] Step 6: Multi-protocol instruction conversion Before the control command is issued, the multi-protocol conversion unit performs the following: Protocol matching: Query the target device registration table (e.g., the projector uses Modbus TCP, address 192.168.1.101). Data encapsulation: Convert "Projector on" to Modbus function code 06 (write single register) + register address 0x0001 + data 0xFF. Adaptive speed adjustment: If the device response times out, the baud rate will be automatically reduced from 115200bps to 9600bps in stages.

[0037] Step 7: Path Planning and Guidance The path engine executes the machine learning decision-making process: Input features: Current heatmap matrix + historical pedestrian flow data for the same period + exhibition area keyness weights. Random Forest Decision: Generate 3 candidate paths and calculate the congestion index (path length × real-time average density). Optimal choice: Select the path with the lowest congestion index (e.g., path C: Zone 1→3→5). Device linkage: Enhance the brightness of the target exhibition area by 20% via the DMX512 protocol and play the guide voice "Please go to exhibition area 3".

[0038] Step 8: Real-time monitoring of equipment status The health monitoring unit executes in a loop: Data acquisition: The PT100 temperature sensor reads the projector radiator temperature (current value T), and the Hall sensor collects the screen motor current (current value I). Fault prediction: The LSTM network takes [T, I] time series data as input and outputs the fault probability P (calculation logic: compare with the data pattern of the 30 seconds before the historical fault). Alarm Trigger: If P > 85%, switch to backup equipment and send an alarm SMS "Equipment 7 Fault Code E103". Step 9: Dynamic Energy Control Energy management unit execution strategy: Time-based control: After closing time, the AC220V power supply to non-security equipment is automatically cut off (the DC12V power supply to the access control system is retained). Dynamic optimization: Real-time monitoring of total current harmonic distortion (THD). If THD > 15%, the SVG compensation device is activated and the capacitor bank is engaged. Strategy generation: Adjust the air conditioner temperature setting according to the number of reservations (set to 24℃ when the number of people is less than 100, and set to 21℃ when the number of people is greater than 200).

[0039] Step 10: Safe Distance Verification Verification process before controlling high-power equipment: Level 1 distance measurement: UWB positioning data is used to calculate the Euclidean distance D1 (three-dimensional straight-line distance) between the visitor and the laser equipment. Secondary verification: VL53L5CX LiDAR measures vertical distance D2 (accuracy ±1cm). Safety determination: If min(D1,D2) < 1.2 meters, the hardware interlock circuit is triggered to freeze the device startup and a voice warning is broadcast.

[0040] Step 11: Encrypted transmission of instructions All control commands are processed via the ATECC608A encryption chip: Encryption process: The AES-GCM algorithm is used to encrypt the original instruction with a 256-bit key and an additional 16-byte authentication tag is attached.

[0041] Transmission protection: Cipherized data packets are sent via RS485 bus, and the receiving end decrypts and executes the data after verifying the integrity of the tag.

[0042] Anti-replay attack: Each data packet embeds a 32-bit incrementing counter, rejecting data packets with duplicate counter values.

[0043] Step 12: 3D Visualization Update The interactive terminal retrieves information from the server every 0.5 seconds: Device status: indicated by icon color (green = running, red = fault). Heatmap: Maps grid density values ​​to a gradient color layer with 30% transparency. Navigation route: The optimal navigation route is marked with a green arrow, and a flashing warning box is displayed for congested areas.

[0044] Finally, the following points should be noted: First, in the description of this application, it should be noted that, unless otherwise specified and limited, the terms "installation", "connection", and "linkage" should be interpreted broadly, and can be mechanical or electrical connections, or internal connections between two components, or direct connections. "Up", "down", "left", "right", etc. are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may change. Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other. In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent central control system for an exhibition hall, characterized in that, The system includes a central controller, a spatial positioning module, an interactive terminal, and a data processing server. The central controller integrates a multi-protocol conversion unit, supporting real-time conversion between at least five heterogeneous device communication protocols, including RS485 industrial bus protocol, Modbus TCP network protocol, ZigBee wireless sensor network protocol, KNX building control protocol, and standard WiFi protocol. The spatial positioning module achieves real-time tracking of three-dimensional spatial coordinates with millimeter-level accuracy through an ultra-wideband UWB positioning base station array deployed on the ceiling of the exhibition hall and miniature positioning tags worn by visitors, and generates a dynamic visitor heat map based on spatiotemporal data. The interactive terminal is equipped with a touch screen interface and a microphone array, providing dual-channel input for scene mode selection and voice control. The data processing server is connected to the above modules through a fiber optic network and has a built-in device linkage logic database and real-time path planning engine.

2. The intelligent central control system for an exhibition hall according to claim 1, characterized in that, The multi-protocol conversion unit has adaptive baud rate adjustment and protocol self-learning capabilities. When a newly accessed device is detected using a communication protocol that is not preset, it automatically records its control command code set and builds a protocol mapping table. During the protocol conversion process, it maintains a command latency of less than 200 milliseconds to ensure the real-time responsiveness of cross-protocol collaborative control of multi-brand devices.

3. The intelligent central control system for an exhibition hall according to claim 1, characterized in that, The rules stored in the device linkage logic database include: dynamically adjusting the device activation strategy based on the real-time distance between the visitor and the exhibition center; automatically turning on the lighting system and multimedia equipment in the area when the distance enters the 3-meter sensing zone; and intelligently preloading content from adjacent exhibition areas based on the visitor's movement speed; automatically turning off high-power devices and switching to standby mode when there are no visitors in a specific exhibition area for 5 consecutive minutes; and executing sequential control based on device power level and safety priority when multiple exhibition area commands conflict.

4. The intelligent central control system for an exhibition hall according to claim 1, characterized in that, The real-time path planning engine analyzes the changing trend of visitor density on the heat map using machine learning algorithms. When it identifies that the number of people per unit area in a local area exceeds a preset threshold, it automatically generates more than three congestion-avoidance guide routes and evaluates the optimal route. At the same time, it links with the central controller to adjust the sound and light equipment in the target exhibition area to attract and disperse the flow of people. The path data is pushed to the augmented reality navigation interface of the interactive terminal in real time.

5. The intelligent central control system for an exhibition hall according to claim 1, characterized in that, The system adds an equipment health monitoring unit to collect and analyze key parameters in real time, such as the speed of the projector's cooling fan, the current of the electric screen motor, and the color temperature offset of the LED lighting module. It establishes an equipment fault prediction model and automatically switches to backup equipment when the parameters abnormally exceed the safety threshold. It also sends an encrypted alarm containing fault codes and location information to maintenance personnel via the 4G network.

6. The intelligent central control system for an exhibition hall according to claim 1, characterized in that, The voice control interface uses a localized neural network semantic recognition engine, which can parse composite voice commands containing "exhibit number + control action" offline; all transmitted commands are protected end-to-end with a 256-bit AES-GCM encryption algorithm to prevent control commands from being tampered with or intercepted during transmission.

7. The intelligent central control system for an exhibition hall according to claim 1, characterized in that, The system is connected to an intelligent energy management unit, which generates time-based dynamic energy-saving strategies based on historical equipment operation data and exhibition hall reservation information. These strategies include: automatically reducing the power of air conditioning units during off-peak hours, cutting off the power supply circuits for non-security equipment during non-open hours, and optimizing power quality in real time through a power factor correction module.

8. The intelligent central control system for an exhibition hall according to claims 1-7, characterized in that, The execution steps of the control method of the system are as follows: The spatial positioning module collects visitor coordinate data at a frequency of 10 times per second and constructs a movement trajectory model. The control command sequence is generated based on the real-time location matching device linkage logic rules. If a conflict is detected between the projector turning on and the motorized screen lowering command, a 500-millisecond delay is inserted to wait for the projector to complete initialization. The central controller converts the instructions into the target device's communication protocol format, which is then verified by the multi-protocol conversion unit before being sent out for execution. The device's operating status and real-time pedestrian flow heat map distribution are simultaneously highlighted on the interactive terminal's 3D map interface.

9. The intelligent central control system for an exhibition hall according to claim 8, characterized in that, The system's control method adds multi-level safety verification before issuing commands: when the controlled object involves high-power laser equipment or mechanical lifting devices, the spatial three-dimensional distance between the visitor and the equipment is calculated by fusing UWB positioning data and infrared depth sensor information. If the minimum distance is less than 1.2 meters, the command execution is suspended, and a voice warning and vibration reminder are broadcast through the interactive terminal.

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