Intelligent exhibition hall control system based on Internet of Things

Abstract

The invention discloses an intelligent exhibition hall control system based on the Internet of Things, and relates to the technical field of the Internet of Things. During operation of the system, Internet of Things sensors are deployed near exhibition halls and exhibits, environment data in an exhibition hall, the actual response time of the system and state information of equipment are collected in real time, the data are preprocessed and analyzed, and the state information of the equipment is analyzed; various environmental data are integrated and calculated through an algorithm model to obtain a comprehensive control index Ikey, the operation states of an air conditioner, a humidifier and lighting equipment are controlled according to a set environmental target, the environment is adjusted in real time, environmental parameters in an exhibition hall are monitored in real time, and when the environmental data collected by the system exceed a preset range, the environmental data are stored in the exhibition hall. The early warning system can timely send out an early warning signal to immediately inform related personnel or systems to adjust, record historical data from various sensors, control equipment and system states, and perform archiving, storage and management according to needs.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a smart exhibition hall control system based on the Internet of Things. Background Art

[0002] With the development of art galleries and art galleries, the management methods of traditional exhibition halls have gradually shown their limitations and are unable to meet the dual needs of modern art protection and audience experience. The concept of smart exhibition halls has emerged. By combining the Internet of Things technology, intelligent control systems and data processing technology, a comprehensive management platform integrating exhibit protection, environmental control and audience interaction has been created. At present, the environmental management of art galleries and art galleries still relies on traditional manual adjustment methods, which have problems such as low operating efficiency, insufficient accuracy and delayed response time. For example, when the temperature, humidity or light intensity exceeds the safe range, the lack of real-time automatic adjustment and feedback mechanism may cause irreversible damage to artworks due to harsh environment. In addition, the traditional system lacks comprehensive monitoring and evaluation methods, and cannot quantify environmental adaptability, system responsiveness and equipment operation efficiency. At the same time, the extensive energy consumption control method of equipment has led to serious energy waste problems and high operating costs of exhibition halls. By introducing the smart exhibition hall control system of the Internet of Things, these shortcomings can be made up, and efficient and intelligent environmental monitoring and adjustment can be achieved to ensure a win-win situation for art protection and energy efficiency.

[0003] The above shortcomings are mainly due to the lack of perception and response capabilities of traditional exhibition hall management to changes in environmental factors, making it difficult to detect environmental deviations in a timely manner and take effective regulatory measures. For example, when temperature, humidity or light intensity fluctuates drastically, traditional systems may fail to quickly restore environmental stability due to delayed data collection and slow adjustment methods, resulting in irreversible damage to artworks such as aging, cracking, and fading. In addition, after an abnormal event occurs, due to the lack of an automated early warning mechanism and comprehensive evaluation capabilities, it is difficult for the system to issue early warning signals in a timely manner and formulate reasonable response strategies, which may lead to continued deterioration of the exhibition hall environment. For exhibition hall equipment, the traditional operating mode fails to optimize equipment energy consumption management. Long-term high-load operation will aggravate equipment aging, increase maintenance costs and energy consumption. These problems not only affect the long-term preservation of artworks, but also increase the operating burden of the exhibition hall and reduce overall management efficiency. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a smart exhibition hall control system based on the Internet of Things, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a smart exhibition hall control system based on the Internet of Things, including a data acquisition module, a data processing module, an intelligent control and adjustment module, a display environment assessment module, an abnormality detection and early warning module and a data storage module;

[0006] The data acquisition module is used to deploy IoT sensors near each exhibition hall and exhibits to collect environmental data in the exhibition hall in real time, deploy environmental monitoring systems and response recorders to collect the actual response time of the system and the status information of the equipment, place smart meters or power sensors to monitor the power consumption of the equipment in real time, and record the power consumption data of each device;

[0007] The data processing module is used to receive real-time data from the data acquisition module, pre-process and analyze the data, including denoising, normalizing and filtering the collected environmental parameters, integrating various environmental data through the algorithm model, and generating the environmental adaptation coefficient C env , system response coefficient C resp and equipment operating efficiency coefficient C eff , and then calculate to obtain: comprehensive control index Ikey;

[0008] The intelligent control and adjustment module is used to automatically adjust the environmental conditions in the exhibition hall based on the analysis results from the data processing module using intelligent algorithms, and control the operating status of air conditioners, humidifiers, and lighting equipment according to the set environmental goals to achieve real-time environmental adjustment, and automatically start adjustment measures when environmental data exceeds a preset range;

[0009] The display environment evaluation module is used to regularly evaluate the current environment adjustment effect, adjust the environmental parameters according to the changing needs of the artworks and the audience feedback, and evaluate whether the current environment meets the set display standards and meets the protection needs of the artworks by analyzing the data after the environment adjustment;

[0010] The abnormal detection and early warning module is used to monitor the environmental parameters in the exhibition hall in real time, and when the environmental data collected by the system exceeds the preset range, it will promptly issue an early warning signal to immediately notify relevant personnel or systems to make adjustments;

[0011] The data storage module is used to record historical data from various sensors, control devices and system status, and archive storage management on demand, support fast query and retrieval of real-time data and historical data, and has data backup and recovery functions to ensure data integrity in the event of system failure or power outage.

[0012] Preferably, the data acquisition module includes an Internet of Things sensor deployment unit, an environmental monitoring system integration unit, and an equipment status energy consumption monitoring unit;

[0013] The IoT sensor deployment unit is used to deploy IoT sensors in each exhibition hall and near exhibits. Sensor types include temperature and humidity sensors, light sensors, and air quality sensors. The sensors collect environmental parameters in the exhibition hall in real time and send the data to the data processing system through a wireless communication network;

[0014] The environmental monitoring system integration unit is used to integrate the environmental monitoring system. By deploying multiple monitoring devices, the environmental data in the exhibition hall is regularly collected. By combining sensors and monitoring devices, the environmental variables of temperature, humidity and light intensity in the exhibition hall are detected in real time to obtain: temperature T actual 、Humidity actual and light intensity L actual ;

[0015] The equipment status energy consumption monitoring unit is used to monitor the power consumption of various equipment in the exhibition hall, including air conditioners, humidifiers and lighting equipment in real time by deploying smart meters or power sensors, continuously record the power consumption data of the equipment, analyze the equipment operation status, and obtain: the time when the abnormal event occurred T event , System adjustment time T adjus t, environmental recovery time T restore , actual energy consumption E used and ideal energy consumption E expected .

[0016] Preferably, the data processing module includes a data preprocessing unit, a data analysis unit and a control index calculation unit;

[0017] The data preprocessing unit is responsible for preprocessing the raw data received from the data acquisition module, including data denoising, normalization and data filtering. The denoising process removes the influence of environmental noise to ensure the accuracy of the data. The normalization operation enables data from different sources to be standardized to facilitate subsequent analysis. Data filtering removes irrelevant information and retains key information.

[0018] The data analysis unit is used to integrate and analyze various environmental data using an algorithm model to generate an environmental adaptation coefficient C env , system response coefficient C resp and equipment operating efficiency coefficient C eff ,By calculating these coefficients, the system can quantify the environmental adaptation status, equipment operation efficiency and system responsiveness in the exhibition hall;

[0019] The control index calculation unit is used to calculate the various coefficients generated to obtain a comprehensive control index I key , taking into account environmental adaptability, system responsiveness and equipment effectiveness, it reflects the overall quality of the exhibition hall's environmental control and system operation efficiency.

[0020] Preferably, the environmental adaptation coefficient C env Calculated by the following formula:

[0021]

[0022] Where, T actual Indicates the actual collected temperature value, T ideal Indicates the ideal temperature value set for the artwork, H actual Indicates the actual collected humidity value, H ideal Indicates the ideal humidity value set for the artwork, L actual Indicates the actual light intensity value collected, L ideal Indicates the ideal light intensity value W set for the artwork T , W H and WL are the weight coefficients of temperature, humidity, and light, respectively, reflecting the importance of the three factors to environmental adaptation. T +W H +W L =1.

[0023] Preferably, the system response coefficient C resp Calculated by the following formula:

[0024]

[0025] Where, T event,total Represents the total duration of the abnormal event, T event Indicates the start time of the abnormal event, T adjust (t) represents the response time of the system adjustment process at time t, T restore Indicates the time it takes for the environment to return to normal.

[0026] Preferably, the efficiency coefficient C eff Calculated by the following formula:

[0027]

[0028] In the formula, Toperation represents the total time of device operation, Eexpected(t) represents the ideal energy consumption of the device at time t, and Eused(t) represents the actual energy consumption of the device at time t;

[0029] The comprehensive control index Ikey is calculated by the following formula:

[0030] I key =α*C env +β*C resp +γ*Ceff ;

[0031] In the formula, α, β and γ are weight coefficients, indicating the importance of each coefficient in the system evaluation, which can be adjusted according to actual needs. α+β+γ=1, C env , C resp and C eff They are the environmental adaptation coefficient, system response coefficient and equipment operation efficiency coefficient respectively.

[0032] Preferably, the intelligent control and regulation module includes an intelligent algorithm decision-making unit, an environmental target setting unit and a regulating device control unit;

[0033] The intelligent algorithm decision unit is used to analyze the results from the data processing module through intelligent algorithms. The intelligent algorithms include machine learning and rule engines. Based on the environmental adjustment target and the current status, the intelligent algorithm automatically decides the adjustment strategy of the environment in the exhibition hall. The intelligent algorithm can comprehensively consider the temperature, humidity and light factors and accurately adjust the operating status of the air conditioner, humidifier and lighting equipment.

[0034] The environmental target setting unit is used to set and adjust the environmental targets in the exhibition hall, including the target values ​​of temperature, humidity and light intensity parameters. Through feedback interaction with the data processing module, the control targets are adjusted in real time to ensure that the environment in the exhibition hall always meets the set standards and meets the needs of artwork protection and audience experience.

[0035] The regulating device control unit is used to control the operating status of the equipment by interacting with the interfaces of the air conditioner, humidifier and lighting system, and adjust the switch status, power and operating frequency of the equipment according to the decision of the intelligent algorithm to achieve real-time adjustment of the environmental conditions in the exhibition hall.

[0036] Preferably, the display environment assessment module includes an environmental effect analysis unit, an artwork demand adjustment unit and an environmental adjustment unit;

[0037] The environmental effect analysis unit is used to compare the real-time collected environmental data with the artwork protection requirements, evaluate the display effect of the current environment, analyze whether the temperature, humidity and lighting parameters meet the preset requirements, and then determine whether the environment is suitable for artwork display, and regularly evaluate the environmental adjustment effect;

[0038] The artwork demand adjustment unit is used to dynamically adjust environmental parameters according to the changing needs of the artwork and in combination with the display environment data. As the display cycle of the artwork changes, the temperature, humidity and light intensity environmental conditions need to be adjusted to ensure the long-term protection of the artwork;

[0039] The environment adjustment unit is used to adjust the display environment by collecting audience feedback data and combining it with the environmental assessment results. By investigating the audience's comfort and satisfaction, the system can identify potential environmental problems and automatically initiate optimization measures.

[0040] Preferably, the abnormal detection and early warning module includes a real-time monitoring unit, an abnormal data identification unit and an early warning notification unit;

[0041] The real-time monitoring unit is used to monitor all environmental parameters in the exhibition hall in real time, including temperature, humidity and light intensity. Through high-frequency data collection and monitoring, it ensures that the system can detect environmental changes in a timely manner to avoid any possible abnormal situation from affecting the exhibition;

[0042] The abnormal data identification unit is used to identify the abnormal data by the comprehensive control index I key Compare with the preset control standard threshold B and the preset control standard threshold M to identify abnormal data that exceeds the set range. Once it is found that an environmental parameter exceeds the preset range, the system immediately triggers the early warning mechanism;

[0043] Comprehensive control index I key >The preset control standard threshold M indicates that the exhibition hall environmental conditions fully meet the set target value range, and the system operation efficiency and exhibit protection requirements have reached the optimal state, and no further adjustment is required;

[0044] The preset control standard threshold B < comprehensive control index I key ≤ the preset control standard threshold M, indicating that the exhibition hall environment conditions deviate by 30% from the set target, but have not yet reached the level that seriously affects the protection of exhibits, and some optimization measures need to be taken for adjustment;

[0045] Comprehensive control index I key ≤ the preset control standard threshold B, indicating that the exhibition hall environmental conditions deviate from the set target by more than 50%, which has an impact on the protection and display environment of artworks and requires immediate comprehensive improvement measures;

[0046] The warning notification unit is responsible for triggering a warning signal after an abnormality is detected, and promptly notifying the system or relevant personnel for processing. It ensures that the exhibition hall administrator or system operator can respond immediately and take necessary adjustment measures through SMS, email and real-time notification to ensure the safety and stability of the exhibition hall environment.

[0047] Preferably, the data storage module includes a data storage unit and a data archiving unit;

[0048] The data storage unit is used to store real-time data from various sensors, control devices and system status. The data is stored in a structured form to facilitate subsequent query and analysis. All data is compressed and encrypted and stored in a specified format;

[0049] The data archiving unit is used to archive and manage historical data, perform data backup and archiving as needed, and dynamically adjust the data storage capacity according to actual needs. It supports multiple storage methods, including local storage and cloud storage, to ensure long-term and stable operation of the system.

[0050] The present invention provides a smart exhibition hall control system based on the Internet of Things, which has the following beneficial effects:

[0051] (1) When the system is running, IoT sensors are deployed in each exhibition hall and near the exhibits to collect real-time environmental data in the exhibition hall, the actual response time of the system, and the status information of the equipment. The data is pre-processed and analyzed, and various environmental data are integrated through the algorithm model to calculate and obtain: Comprehensive control index I key According to the set environmental goals, it controls the operating status of air conditioners, humidifiers, and lighting equipment to achieve real-time environmental adjustment, monitors the environmental parameters in the exhibition hall in real time, and sends out early warning signals in time when the environmental data collected by the system exceeds the preset range, immediately notifies relevant personnel or systems, and makes adjustments. It records historical data from various sensors, control devices, and system status, and archives and stores them as needed.

[0052] (2) Through the data acquisition module, the system can monitor the environmental data in the exhibition hall in real time, covering key parameters such as temperature, humidity, and light intensity, and collect equipment operation status and energy consumption data to provide accurate data support for subsequent modules; the data processing module is responsible for pre-processing and in-depth analysis of the collected data, generating environmental adaptation coefficients, system response coefficients, and equipment operation efficiency coefficients, and calculating the comprehensive control index I key , so as to comprehensively evaluate the adaptability of the exhibition hall environment and the efficiency of system operation; the intelligent control and adjustment module automatically adjusts the air conditioner, humidifier, lighting and other equipment based on the data analysis results to achieve real-time dynamic adjustment of the exhibition hall environment; the exhibition environment evaluation module periodically analyzes the environmental adjustment effect to ensure that the current environment meets the needs of artwork protection and display, and dynamically adjusts environmental parameters according to demand. Through the anomaly detection and early warning module, the system can quickly identify environmental anomalies, trigger early warnings and make adjustments in time to prevent emergencies from causing damage to exhibits; and the data storage module provides reliable storage and management support for all data, providing a data basis for the long-term operation and optimization of the exhibition hall. Each module has a clear division of labor and works in collaboration to achieve efficient management of the exhibition hall environment and equipment.

[0053] (3) Compared with traditional technical means that rely on manual adjustment and decentralized management, this system significantly improves management efficiency and accuracy. It is difficult for traditional exhibition halls to achieve real-time monitoring of multi-dimensional environmental parameters, adjustments are often delayed, and there is a lack of quantitative evaluation of environmental adaptability, equipment operating efficiency and system responsiveness. The smart exhibition hall control system based on the Internet of Things, combined with sensor networks and intelligent algorithms, realizes all-round, real-time environmental monitoring and analysis, quantifies the exhibition hall's operating performance through a multi-factor comprehensive evaluation model, and guides precise adjustment. In addition, the system has automatic response and abnormal warning capabilities, quickly identifies and solves environmental abnormalities. Compared with manual processing methods, the response speed is faster, reducing the risk of environmental instability to the protection of artworks, and also reducing the pressure on personnel management.

[0054] (4) The deployment of this system has brought about significant improvements in many aspects. First, through the precise collection and intelligent analysis of environmental data, the stability and adaptability of the exhibition hall environment are guaranteed, providing long-term safety protection conditions for artworks; second, the automatic adjustment of the equipment operation status not only reduces energy waste, but also significantly reduces the operating costs of the exhibition hall, achieving the goal of energy conservation and emission reduction; third, the rapid anomaly detection and early warning mechanism significantly improves the system's risk management capabilities and avoids irreversible damage to exhibits caused by environmental anomalies. Overall, the system realizes the full-process intelligent management of the exhibition hall environment through the organic combination of six modules, which not only greatly improves the protection effect of exhibits and the visitor's visiting experience, but also optimizes the exhibition hall's operating efficiency and sustainable development capabilities, providing new standards and new directions for the construction of smart exhibition halls. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a block diagram of a smart exhibition hall control system based on the Internet of Things in the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] Example 1

[0058] The present invention provides a smart exhibition hall control system based on the Internet of Things. Figure 1 , including data acquisition module, data processing module, intelligent control and regulation module, display environment assessment module, abnormal detection and early warning module and data storage module;

[0059] The data acquisition module is used to deploy IoT sensors near each exhibition hall and exhibits to collect environmental data in the exhibition hall in real time, deploy environmental monitoring systems and response recorders to collect the actual response time of the system and the status information of the equipment, place smart meters or power sensors to monitor the power consumption of the equipment in real time, and record the power consumption data of each device;

[0060] The data processing module is used to receive real-time data from the data acquisition module, pre-process and analyze the data, including denoising, normalizing and filtering the collected environmental parameters, integrating various environmental data through the algorithm model, and generating the environmental adaptation coefficient C env , system response coefficient C resp and equipment operating efficiency coefficient C eff , and then calculate to obtain: comprehensive control index Ikey;

[0061] The intelligent control and adjustment module is used to automatically adjust the environmental conditions in the exhibition hall based on the analysis results from the data processing module using intelligent algorithms, and control the operating status of air conditioners, humidifiers, and lighting equipment according to the set environmental goals to achieve real-time environmental adjustment, and automatically start adjustment measures when environmental data exceeds a preset range;

[0062] The display environment evaluation module is used to regularly evaluate the current environment adjustment effect, adjust the environmental parameters according to the changing needs of the artworks and the audience feedback, and evaluate whether the current environment meets the set display standards and meets the protection needs of the artworks by analyzing the data after the environment adjustment;

[0063] The abnormal detection and early warning module is used to monitor the environmental parameters in the exhibition hall in real time, and when the environmental data collected by the system exceeds the preset range, it will promptly issue an early warning signal to immediately notify relevant personnel or systems to make adjustments;

[0064] The data storage module is used to record historical data from various sensors, control devices and system status, and archive storage management on demand, support fast query and retrieval of real-time data and historical data, and has data backup and recovery functions to ensure data integrity in the event of system failure or power outage.

[0065] In this embodiment, IoT sensors are deployed in each exhibition hall and near the exhibits to collect real-time environmental data in the exhibition hall, the actual response time of the system, and the status information of the equipment. The data is pre-processed and analyzed, and various environmental data are integrated through the algorithm model to calculate and obtain: Comprehensive control index I keyBased on the analysis results from the data processing module, the environmental conditions in the exhibition hall are automatically adjusted using intelligent algorithms. According to the set environmental goals, the operating status of air conditioners, humidifiers, and lighting equipment is controlled to achieve real-time adjustment of the environment. The environmental parameters in the exhibition hall are monitored in real time. When the environmental data collected by the system exceeds the preset range, an early warning signal is issued in time to immediately notify relevant personnel or systems to make adjustments. The historical data from various sensors, control devices, and system status are recorded, and archived and stored as needed. It supports rapid query and retrieval of real-time and historical data, and has data backup and recovery functions to ensure data integrity in the event of system failure or power outage.

[0066] Example 2

[0067] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the data acquisition module includes an IoT sensor deployment unit, an ,environmental monitoring system integration unit and an equipment state and energy ,consumption monitoring unit;

[0068] The IoT sensor deployment unit is used to deploy IoT sensors in each exhibition hall and near exhibits. Sensor types include temperature and humidity sensors, light sensors, and air quality sensors. The sensors collect environmental parameters in the exhibition hall in real time and send the data to the data processing system through a wireless communication network;

[0069] The environmental monitoring system integration unit is used to integrate the environmental monitoring system. By deploying multiple monitoring devices, the environmental data in the exhibition hall is regularly collected. By combining sensors and monitoring devices, the environmental variables of temperature, humidity and light intensity in the exhibition hall are detected in real time to obtain: temperature T actual 、Humidity actual and light intensity L actual ;

[0070] The equipment status energy consumption monitoring unit is used to monitor the power consumption of various equipment in the exhibition hall, including air conditioners, humidifiers and lighting equipment in real time by deploying smart meters or power sensors, continuously record the power consumption data of the equipment, analyze the equipment operation status, and obtain: the time when the abnormal event occurred T event , System adjustment time T adjus t, environmental recovery time T restore , actual energy consumption E used and ideal energy consumption E expected .

[0071] The data acquisition module includes an IoT sensor deployment unit, an environmental monitoring system integration unit, and an equipment status energy consumption monitoring unit;

[0072] The IoT sensor deployment unit is used to deploy IoT sensors in each exhibition hall and near exhibits. Sensor types include temperature and humidity sensors, light sensors, and air quality sensors. The sensors collect environmental parameters in the exhibition hall in real time and send the data to the data processing system through a wireless communication network;

[0073] The environmental monitoring system integration unit is used to integrate the environmental monitoring system. By deploying multiple monitoring devices, the environmental data in the exhibition hall is regularly collected. By combining sensors and monitoring devices, the environmental variables of temperature, humidity and light intensity in the exhibition hall are detected in real time to obtain: temperature T actual 、Humidity actual and light intensity L actual ;

[0074] The equipment status energy consumption monitoring unit is used to monitor the power consumption of various equipment in the exhibition hall, including air conditioners, humidifiers and lighting equipment in real time by deploying smart meters or power sensors, continuously record the power consumption data of the equipment, analyze the equipment operation status, and obtain: the time when the abnormal event occurred T event , System adjustment time T adjus t, environmental recovery time T restore , actual energy consumption E used and ideal energy consumption E expected .

[0075] In this embodiment, through the design and implementation of the data acquisition module, the smart exhibition hall control system can significantly improve the accuracy and efficiency of exhibition hall environmental monitoring and energy consumption management. The IoT sensor deployment unit achieves comprehensive coverage and real-time monitoring of key environmental parameters such as temperature, humidity, light intensity, and air quality in the exhibition hall, ensuring high-precision collection of environmental data in the exhibition hall and providing a reliable data basis for subsequent environmental adjustment. The environmental monitoring system integration unit obtains temperature T in real time through the collaborative work of multiple devices. actual 、Humidity actual and light intensity L actual , to achieve dynamic tracking and change analysis of environmental variables, effectively ensuring the stability and adaptability of the art display environment. The equipment status energy consumption monitoring unit uses smart meters and power sensors to monitor the operating status and power consumption of air conditioners, humidifiers and lighting equipment in real time, and accurately obtain the time T of common events. event , System adjustment time T adjus t, environmental recovery time T restore , actual energy consumption E used and ideal energy consumption E expected, providing an important basis for equipment energy-saving optimization and fault diagnosis. Overall, the innovative design of the data acquisition module effectively improves the system's data collection capabilities and environmental monitoring accuracy, laying a solid foundation for the intelligent regulation and efficient management of the exhibition hall environment. At the same time, through real-time energy consumption monitoring and data analysis, it reduces equipment operating costs and improves the energy-saving effect and sustainable development capabilities of the exhibition hall.

[0076] Example 3

[0077] This embodiment is explained in Example 1, please refer to Figure 1 , specifically: the environmental adaptation coefficient C env Calculated by the following formula:

[0078]

[0079] Where, T actual Indicates the actual collected temperature value, T ideal Indicates the ideal temperature value set for the artwork, H actual Indicates the actual collected humidity value, H ideal Indicates the ideal humidity value set for the artwork, L actual Indicates the actual light intensity value collected, L ideal Indicates the ideal light intensity value W set for the artwork T , W H and WL are the weight coefficients of temperature, humidity, and light, respectively, reflecting the importance of the three factors to environmental adaptation. T +W H +W L =1.

[0080] The system response coefficient C resp Calculated by the following formula:

[0081]

[0082] Where, T event,total Represents the total duration of the abnormal event, T event Indicates the start time of the abnormal event, T adjust (t) represents the response time of the system adjustment process at time t, T restore Indicates the time it takes for the environment to return to normal.

[0083] The efficiency coefficient C eff Calculated by the following formula:

[0084]

[0085] In the formula, Toperation represents the total time of device operation, Eexpected(t) represents the ideal energy consumption of the device at time t, and Eused(t) represents the actual energy consumption of the device at time t;

[0086] The comprehensive control index Ikey is calculated by the following formula:

[0087] I key =α*C env +β*C resp +γ*C eff ;

[0088] In the formula, α, β and γ are weight coefficients, indicating the importance of each coefficient in the system evaluation, which can be adjusted according to actual needs. α+β+γ=1, C env , C resp and C eff They are the environmental adaptation coefficient, system response coefficient and equipment operation efficiency coefficient respectively.

[0089] In this embodiment, the environmental adaptation coefficient C env , system response coefficient C resp and equipment operating efficiency coefficient C eff The intelligent exhibition hall control system can fully quantify the adaptability of the exhibition hall environment, system responsiveness and equipment operation efficiency, and provide an overall performance evaluation index through the comprehensive control index Ikey. env By comparing the actual environmental parameters (temperature, humidity, light intensity) with the ideal target values ​​set for the artwork in real time, it accurately reflects the degree of matching of the environment to the artwork protection, and achieves targeted regulation through dynamic weight allocation; the system response coefficient C resp Comprehensively consider the time when abnormal events occur, the adjustment time, and the recovery time, and evaluate the system's response efficiency and recovery ability when responding to sudden environmental changes; equipment operation efficiency coefficient C eff The ratio of ideal energy consumption to actual energy consumption is used to optimize equipment operation strategies and reduce energy waste. key The system can evaluate the overall operation quality in real time and realize the linkage optimization of each module. This evaluation method based on quantitative indicators not only improves the accuracy and scientificity of the exhibition hall's environmental control, but also significantly enhances the automation and intelligence level of the system, providing a strong guarantee for the long-term protection of artworks, energy consumption optimization and management efficiency improvement.

[0090] Example 4

[0091] This embodiment is explained in Example 1, please refer to Figure 1,Specifically: the intelligent control and regulation module includes an intelligent algorithm decision-making unit, an environmental target setting unit and a regulation device control unit;

[0092] The intelligent algorithm decision unit is used to analyze the results from the data processing module through intelligent algorithms. The intelligent algorithms include machine learning and rule engines. Based on the environmental adjustment target and the current status, the intelligent algorithm automatically decides the adjustment strategy of the environment in the exhibition hall. The intelligent algorithm can comprehensively consider the temperature, humidity and light factors and accurately adjust the operating status of the air conditioner, humidifier and lighting equipment.

[0093] The environmental target setting unit is used to set and adjust the environmental targets in the exhibition hall, including the target values ​​of temperature, humidity and light intensity parameters. Through feedback interaction with the data processing module, the control targets are adjusted in real time to ensure that the environment in the exhibition hall always meets the set standards and meets the needs of artwork protection and audience experience.

[0094] The regulating device control unit is used to control the operating status of the equipment by interacting with the interfaces of the air conditioner, humidifier and lighting system, and adjust the switch status, power and operating frequency of the equipment according to the decision of the intelligent algorithm to achieve real-time adjustment of the environmental conditions in the exhibition hall.

[0095] The display environment assessment module includes an environmental effect analysis unit, an artwork demand adjustment unit and an environmental adjustment unit;

[0096] The environmental effect analysis unit is used to compare the real-time collected environmental data with the artwork protection requirements, evaluate the display effect of the current environment, analyze whether the temperature, humidity and lighting parameters meet the preset requirements, and then determine whether the environment is suitable for artwork display, and regularly evaluate the environmental adjustment effect;

[0097] The artwork demand adjustment unit is used to dynamically adjust environmental parameters according to the changing needs of the artwork and in combination with the display environment data. As the display cycle of the artwork changes, the temperature, humidity and light intensity environmental conditions need to be adjusted to ensure the long-term protection of the artwork;

[0098] The environment adjustment unit is used to adjust the display environment by collecting audience feedback data and combining it with the environmental assessment results. By investigating the audience's comfort and satisfaction, the system can identify potential environmental problems and automatically initiate optimization measures.

[0099] In this embodiment, through the synergy of the intelligent control and adjustment module and the exhibition environment assessment module, the smart exhibition hall control system can achieve precise control, dynamic assessment and optimization adjustment of the exhibition hall environment, effectively improving the protection effect of exhibits and the audience experience. The intelligent algorithm decision unit in the intelligent control and adjustment module is based on machine learning and rule engines, and can comprehensively analyze environmental factors such as temperature, humidity and light intensity, automatically generate efficient environmental adjustment strategies, and achieve precise control of air conditioners, humidifiers and lighting equipment; the environmental target setting unit ensures that the exhibition hall environment always meets the needs of artwork protection and the comfort standards of visitors by adjusting the target values ​​of temperature, humidity and light intensity in real time; the adjustment device control unit dynamically adjusts the operating status through real-time interaction with the equipment to ensure the real-time stability of environmental conditions.

[0100] The exhibition environment assessment module further improves the system's intelligent control capabilities through its functional units. The environmental effect analysis unit compares and evaluates the current environmental status in real time to determine whether the environment meets the preset standards, and regularly detects the adjustment effect to ensure that the exhibit display environment reaches the best state; the artwork demand adjustment unit dynamically optimizes environmental parameters according to the display cycle and changing needs of the artwork to prevent potential damage to the artwork caused by long-term exhibitions; the environmental adjustment unit collects audience feedback, combines environmental assessment results, identifies potential problems and initiates optimization measures to achieve continuous improvement of the exhibition hall environment.

[0101] Example 5

[0102] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the abnormal detection and early warning module includes a real-time monitoring unit, an abnormal data identification unit and an early warning notification unit;

[0103] The real-time monitoring unit is used to monitor all environmental parameters in the exhibition hall in real time, including temperature, humidity and light intensity. Through high-frequency data collection and monitoring, it ensures that the system can detect environmental changes in a timely manner to avoid any possible abnormal situation from affecting the exhibition;

[0104] The abnormal data identification unit is used to identify the abnormal data by the comprehensive control index I key Compare with the preset control standard threshold B and the preset control standard threshold M to identify abnormal data that exceeds the set range. Once it is found that an environmental parameter exceeds the preset range, the system immediately triggers the early warning mechanism;

[0105] Comprehensive control index I key >The preset control standard threshold M indicates that the exhibition hall environmental conditions fully meet the set target value range, and the system operation efficiency and exhibit protection requirements have reached the best state. No further adjustment is required. I is recalculated every 30 minutes. keyAnd compare it with the control standard threshold M to ensure that the environmental data is stable within the target range; at the same time, the temperature, humidity and light change trends are dynamically monitored through the real-time monitoring unit to prevent potential abnormalities;

[0106] The preset control standard threshold B < comprehensive control index I key ≤ the preset control standard threshold M, indicating that the exhibition hall environmental conditions deviate by 30% from the set target, but have not yet reached the level of seriously affecting the protection of exhibits. Some optimization measures need to be taken for adjustment. The intelligent algorithm decision unit is used to dynamically adjust the adjustment range of the deviation parameters. Through the small step adjustment strategy, the step size is set to 10%-20% of the deviation value, and the temperature, humidity and light intensity parameters are gradually restored to the ideal target value range. The real-time energy consumption data of each device is analyzed, and the equipment load is optimized by adjusting the equipment operation power distribution. For example, when the humidity adjustment demand is high, the humidification equipment power is increased first and the air conditioning load is reduced to ensure the maximum energy efficiency of the equipment operation. The environmental data is re-evaluated every 10 minutes, and a new I is generated in real time through the data processing module. key , confirm whether the adjustment effect reaches the expected goal. If the deviation is not significantly reduced, start the second round of parameter optimization and gradually increase the adjustment range;

[0107] Comprehensive control index I key ≤ the preset control standard threshold B, indicating that the environmental conditions of the exhibition hall deviate from the set target by more than 50%, which has an impact on the protection and display environment of artworks. Comprehensive improvement measures must be taken immediately, and the intelligent control adjustment module is immediately triggered to give priority to accurately adjusting the environmental parameters with the highest weight (such as temperature, humidity or light intensity). The adjustment range directly covers the maximum deviation to ensure that it is restored to the set target range in the shortest time. Through the equipment status energy consumption monitoring unit, the operating status of air conditioners, humidifiers and lighting equipment is comprehensively checked, and the power of the equipment is adjusted or troubleshooted item by item. Emergency replacement or system optimization is carried out for non-compliant equipment;

[0108] The warning notification unit is responsible for triggering a warning signal after an abnormality is detected, and promptly notifying the system or relevant personnel for processing. It ensures that the exhibition hall administrator or system operator can respond immediately and take necessary adjustment measures through SMS, email and real-time notification to ensure the safety and stability of the exhibition hall environment.

[0109] The data storage module includes a data storage unit and a data archiving unit;

[0110] The data storage unit is used to store real-time data from various sensors, control devices and system status. The data is stored in a structured form to facilitate subsequent query and analysis. All data is compressed and encrypted and stored in a specified format;

[0111] The data archiving unit is used to archive and manage historical data, perform data backup and archiving as needed, and dynamically adjust the data storage capacity according to actual needs. It supports multiple storage methods, including local storage and cloud storage, to ensure long-term and stable operation of the system.

[0112] In this embodiment, through the design and coordinated work of the abnormal detection and early warning module and the data storage module, the smart exhibition hall control system realizes accurate monitoring of environmental anomalies, rapid response, and long-term management and optimization of data. The real-time monitoring unit in the abnormal detection and early warning module can collect key environmental parameters such as temperature, humidity, and light intensity at a high frequency to ensure that any environmental fluctuations or anomalies can be discovered at an early stage, thereby effectively avoiding the adverse effects of changes in the exhibition hall environment on the protection and display of exhibits; the abnormal data identification unit uses the comprehensive control index I key By comparing with the preset thresholds B and M, three graded processing strategies are formulated, and gradual optimization, dynamic adjustment or emergency adjustment measures are taken according to the severity of the deviation, which greatly improves the environmental control efficiency and accuracy of the system; the early warning notification unit promptly transmits abnormal situations to administrators or system operators through SMS, email and real-time notification, ensuring the shortest response speed and comprehensively guaranteeing the safety and stability of the exhibition environment.

[0113] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A smart exhibition hall control system based on the Internet of Things, characterized by: It includes data acquisition module, data processing module, intelligent control and adjustment module, display environment assessment module, abnormal detection and early warning module and data storage module; The data acquisition module is used to deploy IoT sensors near each exhibition hall and exhibits to collect environmental data in the exhibition hall in real time, deploy environmental monitoring systems and response recorders to collect the actual response time of the system and the status information of the equipment, place smart meters or power sensors to monitor the power consumption of the equipment in real time, and record the power consumption data of each device; The data processing module is used to receive real-time data from the data acquisition module, pre-process and analyze the data, including denoising, normalizing and filtering the collected environmental parameters, integrating various environmental data through the algorithm model, and generating the environmental adaptation coefficient C env , system response coefficient C resp and equipment operating efficiency coefficient C eff , and then calculate to obtain: comprehensive control index Ikey; The intelligent control and adjustment module is used to automatically adjust the environmental conditions in the exhibition hall based on the analysis results from the data processing module using intelligent algorithms, and control the operating status of air conditioners, humidifiers, and lighting equipment according to the set environmental goals to achieve real-time environmental adjustment, and automatically start adjustment measures when environmental data exceeds a preset range; The display environment evaluation module is used to regularly evaluate the current environment adjustment effect, adjust the environmental parameters according to the changing needs of the artworks and the audience feedback, and evaluate whether the current environment meets the set display standards and meets the protection needs of the artworks by analyzing the data after the environment adjustment; The abnormal detection and early warning module is used to monitor the environmental parameters in the exhibition hall in real time, and when the environmental data collected by the system exceeds the preset range, it will promptly issue an early warning signal to immediately notify relevant personnel or systems to make adjustments; The data storage module is used to record historical data from various sensors, control devices and system status, and archive storage management on demand, support fast query and retrieval of real-time data and historical data, and has data backup and recovery functions to ensure data integrity in the event of system failure or power outage.

2. According to the IoT-based smart exhibition hall control system of claim 1, it is characterized by: The data acquisition module includes an IoT sensor deployment unit, an environmental monitoring system integration unit, and an equipment status energy consumption monitoring unit; The IoT sensor deployment unit is used to deploy IoT sensors in each exhibition hall and near exhibits. Sensor types include temperature and humidity sensors, light sensors, and air quality sensors. The sensors collect environmental parameters in the exhibition hall in real time and send the data to the data processing system through a wireless communication network; The environmental monitoring system integration unit is used to integrate the environmental monitoring system. By deploying multiple monitoring devices, the environmental data in the exhibition hall is regularly collected. By combining sensors and monitoring devices, the environmental variables of temperature, humidity and light intensity in the exhibition hall are detected in real time to obtain: temperature T actual 、Humidity actual and light intensity L actual ; The equipment status energy consumption monitoring unit is used to monitor the power consumption of various equipment in the exhibition hall, including air conditioners, humidifiers and lighting equipment in real time by deploying smart meters or power sensors, continuously record the power consumption data of the equipment, analyze the equipment operation status, and obtain: the time when the abnormal event occurred T event , System adjustment time T adjus t, environmental recovery time T restore , actual energy consumption E used and ideal energy consumption E expected .

3. According to the IoT-based smart exhibition hall control system of claim 1, it is characterized by: The data processing module includes a data preprocessing unit, a data analysis unit and a control index calculation unit; The data preprocessing unit is responsible for preprocessing the raw data received from the data acquisition module, including data denoising, normalization and data filtering. The denoising process removes the influence of environmental noise to ensure the accuracy of the data. The normalization operation enables data from different sources to be standardized to facilitate subsequent analysis. Data filtering removes irrelevant information and retains key information. The data analysis unit is used to integrate and analyze various environmental data using an algorithm model to generate an environmental adaptation coefficient C env , system response coefficient C resp and equipment operating efficiency coefficient C eff ,By calculating these coefficients, the system can quantify the environmental adaptation status, equipment operation efficiency and system responsiveness in the exhibition hall; The control index calculation unit is used to calculate the various coefficients generated to obtain a comprehensive control index I key , taking into account environmental adaptability, system responsiveness and equipment effectiveness, it reflects the overall quality of the exhibition hall's environmental control and the system's operating efficiency.

4. The smart exhibition hall control system based on the Internet of Things according to claim 3 is characterized by: The environmental adaptation coefficient C env Calculated by the following formula: Where, T actual Indicates the actual collected temperature value, T ideal Indicates the ideal temperature value set for the artwork, H actual Indicates the actual collected humidity value, H ideal Indicates the ideal humidity value set for the artwork, L actual Indicates the actual light intensity value collected, L ideal Indicates the ideal light intensity value W set for the artwork T , W H and WL are the weight coefficients of temperature, humidity, and light, respectively, reflecting the importance of the three factors to environmental adaptation. T +W H +W L =1.

5. The smart exhibition hall control system based on the Internet of Things according to claim 3 is characterized by: The system response coefficient C resp Calculated by the following formula: Where, T event,total Represents the total duration of the abnormal event, T event Indicates the start time of the abnormal event, T adjust (t) represents the response time of the system adjustment process at time t, T restore Indicates the time it takes for the environment to return to normal.

6. The smart exhibition hall control system based on the Internet of Things according to claim 3 is characterized by: The efficiency coefficient C eff Calculated by the following formula: In the formula, Toperation represents the total time of device operation, Eexpected(t) represents the ideal energy consumption of the device at time t, and Eused(t) represents the actual energy consumption of the device at time t; The comprehensive control index Ikey is calculated by the following formula: I key =α*C env +β*C resp +γ*C eff ; In the formula, α, β and γ are weight coefficients, indicating the importance of each coefficient in the system evaluation, which can be adjusted according to actual needs. α+β+γ=1, C env , C resp and C eff They are the environmental adaptation coefficient, system response coefficient and equipment operation efficiency coefficient respectively.

7. The smart exhibition hall control system based on the Internet of Things according to claim 1 is characterized by: The intelligent control and regulation module includes an intelligent algorithm decision-making unit, an environmental target setting unit and a regulation device control unit; The intelligent algorithm decision unit is used to analyze the results from the data processing module through intelligent algorithms. The intelligent algorithms include machine learning and rule engines. Based on the environmental adjustment target and the current status, the intelligent algorithm automatically decides the adjustment strategy of the environment in the exhibition hall. The intelligent algorithm can comprehensively consider the temperature, humidity and light factors and accurately adjust the operating status of the air conditioner, humidifier and lighting equipment. The environmental target setting unit is used to set and adjust the environmental targets in the exhibition hall, including the target values ​​of temperature, humidity and light intensity parameters. Through feedback interaction with the data processing module, the control targets are adjusted in real time to ensure that the environment in the exhibition hall always meets the set standards and meets the needs of artwork protection and audience experience. The regulating device control unit is used to control the operating status of the equipment by interacting with the interfaces of the air conditioner, humidifier and lighting system, and adjust the switch status, power and operating frequency of the equipment according to the decision of the intelligent algorithm to achieve real-time adjustment of the environmental conditions in the exhibition hall.

8. The smart exhibition hall control system based on the Internet of Things according to claim 1 is characterized by: The display environment assessment module includes an environmental effect analysis unit, an artwork demand adjustment unit and an environmental adjustment unit; The environmental effect analysis unit is used to compare the real-time collected environmental data with the artwork protection requirements, evaluate the display effect of the current environment, analyze whether the temperature, humidity and lighting parameters meet the preset requirements, and then determine whether the environment is suitable for artwork display, and regularly evaluate the environmental adjustment effect; The artwork demand adjustment unit is used to dynamically adjust environmental parameters according to the changing needs of the artwork and in combination with the display environment data. As the display cycle of the artwork changes, the temperature, humidity and light intensity environmental conditions need to be adjusted to ensure the long-term protection of the artwork; The environment adjustment unit is used to adjust the display environment by collecting audience feedback data and combining it with the environmental assessment results. By investigating the audience's comfort and satisfaction, the system can identify potential environmental problems and automatically initiate optimization measures.

9. The smart exhibition hall control system based on the Internet of Things according to claim 1 is characterized by: The abnormal detection and early warning module includes a real-time monitoring unit, an abnormal data identification unit and an early warning notification unit; The real-time monitoring unit is used to monitor all environmental parameters in the exhibition hall in real time, including temperature, humidity and light intensity. Through high-frequency data collection and monitoring, it ensures that the system can detect environmental changes in a timely manner to avoid any possible abnormal situation from affecting the exhibition; The abnormal data identification unit is used to identify the abnormal data by the comprehensive control index I key Compare with the preset control standard threshold B and the preset control standard threshold M to identify abnormal data that exceeds the set range. Once it is found that an environmental parameter exceeds the preset range, the system immediately triggers the early warning mechanism; Comprehensive control index I key >The preset control standard threshold M indicates that the exhibition hall environmental conditions fully meet the set target value range, and the system operation efficiency and exhibit protection requirements have reached the optimal state, and no further adjustment is required; The preset control standard threshold B < comprehensive control index I key ≤ the preset control standard threshold M, indicating that the exhibition hall environment conditions deviate by 30% from the set target, but have not yet reached the level that seriously affects the protection of exhibits, and some optimization measures need to be taken for adjustment; Comprehensive control index I key ≤ the preset control standard threshold B, indicating that the exhibition hall environmental conditions deviate from the set target by more than 50%, which has an impact on the protection and display environment of artworks and requires immediate comprehensive improvement measures; The warning notification unit is responsible for triggering a warning signal after an abnormality is detected, and promptly notifying the system or relevant personnel for processing. It ensures that the exhibition hall administrator or system operator can respond immediately and take necessary adjustment measures through SMS, email and real-time notification to ensure the safety and stability of the exhibition hall environment.

10. The smart exhibition hall control system based on the Internet of Things according to claim 1 is characterized by: The data storage module includes a data storage unit and a data archiving unit; The data storage unit is used to store real-time data from various sensors, control devices and system status. The data is stored in a structured form to facilitate subsequent query and analysis. All data is compressed and encrypted and stored in a specified format; The data archiving unit is used to archive and manage historical data, perform data backup and archiving as needed, and dynamically adjust the data storage capacity according to actual needs. It supports multiple storage methods, including local storage and cloud storage, to ensure long-term and stable operation of the system.

Images