A smart exhibition hall control system based on the Internet of Things

Abstract

The present invention discloses a smart exhibition hall control system based on the Internet of Things, which relates to the technical field of the Internet of Things. During the operation of the system, Internet of Things sensors are deployed in each exhibition hall and near the exhibits to collect environmental data in the exhibition hall, the actual response time of the system and the status information of the equipment in real time, pre-process and analyze the data, integrate various environmental data through an algorithm model, and 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 issues early warning signals in a timely manner when the environmental data collected by the system exceeds the preset range, immediately notifies relevant personnel or systems to make adjustments, and records historical data from various sensors, control devices, and system status, and archives and stores them as needed.

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 museums, traditional exhibition hall management methods have gradually revealed their limitations, failing to meet the dual demands of modern art preservation and visitor experience. The concept of the smart exhibition hall has emerged. By combining IoT technology, intelligent control systems, and data processing technologies, a comprehensive management platform has been created that integrates exhibit preservation, environmental control, and visitor interaction. Currently, environmental management in art galleries and art museums still relies on traditional manual adjustment methods, which suffer from low efficiency, insufficient accuracy, and delayed response time. For example, when temperature, humidity, or light intensity exceed safe ranges, the lack of real-time automatic adjustment and feedback mechanisms can cause irreversible damage to artworks due to harsh environments. Furthermore, traditional systems lack comprehensive monitoring and evaluation methods, making it impossible to quantify environmental adaptability, system responsiveness, and equipment performance. Furthermore, crude energy consumption control methods for equipment lead to serious energy waste and high exhibition hall operating costs. The introduction of IoT-based smart exhibition hall control systems can address these shortcomings, enabling efficient and intelligent environmental monitoring and adjustment, ensuring a win-win situation for art preservation 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 fluctuate 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 assessment 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 the continuous 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 operational burden of the exhibition hall and reduce overall management efficiency. Summary of the Invention

[0004] In view of the shortcomings of the existing technology, 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, an exhibition environment assessment module, an abnormality detection and warning module and a data storage module;

[0006] The data acquisition module is used to deploy IoT sensors in each exhibition hall and near 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, normalization and data filtering of the collected environmental parameters, and integrate various environmental data through the algorithm model to generate 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. According to the set environmental targets, it controls the operating status of air conditioners, humidifiers, and lighting equipment to achieve real-time environmental adjustment and automatically initiates adjustment measures when environmental data exceeds the preset range.

[0009] The exhibition environment assessment module is used to regularly evaluate the current environmental adjustment effect, adjust environmental parameters according to the changing needs of artworks and audience feedback, and evaluate whether the current environment meets the set exhibition standards and meets the protection requirements of artworks through analysis of the data after environmental adjustment;

[0010] The anomaly detection and 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 a 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 also 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. The 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, it regularly collects environmental data in the exhibition hall. By combining sensors and monitoring devices, it detects the environmental variables of temperature, humidity and light intensity in the exhibition hall in real time to obtain: temperature T actual 、Humidity H 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. The 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 conditions, ,equipment operation efficiency and system responsiveness within the exhibition hall;

[0019] The control index calculation unit is used to calculate the various coefficients generated to obtain the 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 efficiency of the system operation.

[0020] Preferably, the environmental adaptation coefficient C env Calculated using 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 collected light intensity value, 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 using the following formula:

[0024]

[0025] Where, T event,total Indicates the total duration of the abnormal event, T event Indicates the starting 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 using the following formula:

[0027]

[0028] Where Toperation represents the total time the device is running, 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, which indicate the importance of each coefficient in the system evaluation and are adjusted according to actual needs. α+β+γ=1, C env 、C resp and C eff They are 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 unit, an environmental target setting unit and a regulation device control unit;

[0033] The intelligent algorithm decision unit is used to analyze the results from the data processing module through an intelligent algorithm. The intelligent algorithm includes machine learning and a rule engine. Based on the environmental adjustment target and the current status, the intelligent algorithm automatically determines the adjustment strategy for the exhibition hall environment. The intelligent algorithm can comprehensively consider temperature, humidity and light factors to accurately adjust the operating status of air conditioners, humidifiers and lighting equipment.

[0034] The environmental target setting unit is used to set and adjust the environmental targets within the exhibition hall, including target values ​​for 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 within 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 based on the changing needs of the artwork and combined with the display environment data. As the display period 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 environmental adjustment unit is used to adjust the exhibition environment by collecting audience feedback data and combining it with 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 anomaly 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, the system can ensure that environmental changes can be detected in a timely manner to avoid any possible abnormalities that may affect 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 an environmental parameter is found to be out of 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 environmental 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 ≤ preset control standard threshold B, indicating that the exhibition hall environmental conditions deviate by more than 50% from the set target, which has an impact on the protection and display environment of artworks and requires immediate comprehensive improvement measures;

[0046] The early warning notification unit is responsible for triggering the early 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 in accordance with the 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 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 are 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 issues early warning signals in a timely manner when the environmental data collected by the system exceeds the preset range, immediately notifies relevant personnel or systems to make adjustments, and 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 at the same time collect equipment operating 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 operating efficiency coefficients, and calculating the comprehensive control index I key , thereby comprehensively evaluating the adaptability of the exhibition hall environment and the efficiency of system operation; the intelligent control and adjustment module automatically adjusts air conditioners, humidifiers, lights and other equipment based on the data analysis results to achieve real-time dynamic adjustment of the exhibition hall environment; the exhibition environment assessment 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 a timely manner 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 foundation 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. Traditional exhibition halls find it difficult 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 response capabilities. 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 anomalies. 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 equipment operating 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, avoiding 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 audience'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 provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall 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, abnormality detection and early warning module and data storage module;

[0059] The data acquisition module is used to deploy IoT sensors in each exhibition hall and near 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, normalization and data filtering of the collected environmental parameters, and integrate various environmental data through the algorithm model to generate 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. According to the set environmental targets, it controls the operating status of air conditioners, humidifiers, and lighting equipment to achieve real-time environmental adjustment and automatically initiates adjustment measures when environmental data exceeds the preset range.

[0062] The exhibition environment assessment module is used to regularly evaluate the current environmental adjustment effect, adjust environmental parameters according to the changing needs of artworks and audience feedback, and evaluate whether the current environment meets the set exhibition standards and meets the protection requirements of artworks through analysis of the data after environmental adjustment;

[0063] The anomaly detection and 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 a 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 also 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 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 the various environmental data are integrated through the algorithm model to calculate and obtain the comprehensive control index I. keyBased on the analysis results from the data processing module, the intelligent algorithm is used to automatically adjust the environmental conditions in the exhibition hall. 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 data 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 Internet of Things sensor deployment unit, an ,environmental monitoring system integration unit, and an equipment ,status energy consumption monitoring unit;

[0068] The IoT sensor deployment unit is used to deploy IoT sensors in each exhibition hall and near exhibits. The 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, it regularly collects environmental data in the exhibition hall. By combining sensors and monitoring devices, it detects the environmental variables of temperature, humidity and light intensity in the exhibition hall in real time to obtain: temperature T actual 、Humidity H 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 Internet of Things 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. The 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, it regularly collects environmental data in the exhibition hall. By combining sensors and monitoring devices, it detects the environmental variables of temperature, humidity and light intensity in the exhibition hall in real time to obtain: temperature T actual 、Humidity H 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 foundation for subsequent environmental adjustments. The environmental monitoring system integration unit obtains temperature T in real time through the collaborative work of multiple devices. actual 、Humidity H 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 when common events occur T 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 intelligent control 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 exhibition hall's energy-saving effects and sustainable development capabilities.

[0076] Example 3

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

[0081]

[0082] Where, T event,total Indicates the total duration of the abnormal event, T event Indicates the starting 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 using the following formula:

[0084]

[0085] Where Toperation represents the total time the device is running, 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, which indicate the importance of each coefficient in the system evaluation and are adjusted according to actual needs. α+β+γ=1, C env 、C resp and C eff They are 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 operating 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 protection of the artwork, and realizes targeted regulation through dynamic weight allocation; the system response coefficient C resp Comprehensively consider the time of occurrence of abnormal events, adjustment time and recovery time, and evaluate the response efficiency and recovery ability of the system in response to sudden environmental changes; equipment operation efficiency coefficient C eff By using the ratio of ideal energy consumption to actual energy consumption, the equipment operation strategy is optimized and energy waste is reduced. key The system can evaluate overall operational quality in real time and achieve coordinated optimization of each module. This quantitative indicator-based evaluation method not only improves the accuracy and scientific nature of exhibition hall environmental control, but also significantly enhances the system's automation and intelligence, providing strong support for the long-term protection of artworks, optimizing energy consumption, and improving management efficiency.

[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 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 an intelligent algorithm. The intelligent algorithm includes machine learning and a rule engine. Based on the environmental adjustment target and the current status, the intelligent algorithm automatically determines the adjustment strategy for the exhibition hall environment. The intelligent algorithm can comprehensively consider temperature, humidity and light factors to accurately adjust the operating status of air conditioners, humidifiers and lighting equipment.

[0093] The environmental target setting unit is used to set and adjust the environmental targets within the exhibition hall, including target values ​​for 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 within 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 exhibition 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 based on the changing needs of the artwork and combined with the display environment data. As the display period 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 environmental adjustment unit is used to adjust the exhibition environment by collecting audience feedback data and combining it with 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 between 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 of exhibits and the visitor experience. The intelligent algorithm decision unit in the intelligent control and adjustment module is based on machine learning and a rule engine. It 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 requirements of art protection and visitor comfort standards 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 enhances the system's intelligent control capabilities through its functional units. The Environmental Effects Analysis Unit compares and evaluates the current environmental status in real time, determining whether the environment meets preset standards and regularly monitors the effectiveness of adjustments to ensure optimal display conditions for exhibits. The Artwork Demand Adjustment Unit dynamically optimizes environmental parameters based on the artwork's display cycle and changing needs, preventing potential damage to artworks caused by long-term exhibitions. The Environmental Adjustment Unit collects visitor feedback, combines it with environmental assessment results, identifies potential issues, 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 anomaly 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, the system can ensure that environmental changes can be detected in a timely manner to avoid any possible abnormalities that may affect 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 an environmental parameter is found to be out of 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 are fully in line with the set target value range, and the system operation efficiency and exhibit protection requirements have reached the optimal state. No further adjustment is required. I is recalculated every 30 minutes. keyThe data is compared 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 that seriously affects 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 a small step adjustment strategy with the step size set to 10%-20% of the deviation value, 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 has achieved the expected goal. If the deviation has not been significantly reduced, start the second round of parameter optimization and gradually increase the adjustment range;

[0107] Comprehensive Control Index I key If the value is less than or equal to the preset control standard threshold B, it indicates that the exhibition hall's environmental conditions deviate from the set target by more than 50%, affecting the protection and display environment of the artworks. Immediate improvement measures are required, and the intelligent control and adjustment module is immediately triggered to prioritize and precisely adjust 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 the target range is restored in the shortest possible time. The equipment status and energy consumption monitoring unit is used to comprehensively check the operating status of air conditioners, humidifiers, and lighting equipment, adjust the power or troubleshoot the equipment item by item, and implement emergency replacement or system optimization for non-compliant equipment.

[0108] The early warning notification unit is responsible for triggering the early 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 in accordance with the 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 stable operation of the system.

[0112] In this embodiment, through the design and coordinated work of the anomaly detection and warning module and the data storage module, the smart exhibition hall control system achieves accurate monitoring of environmental anomalies, rapid response, and long-term data management and optimization. The real-time monitoring unit in the anomaly detection and warning module can collect key environmental parameters such as temperature, humidity, and light intensity at a high frequency, ensuring 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 hierarchical 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 various means such as SMS, email and real-time notification, ensuring the shortest response speed and comprehensively protecting the safety and stability of the exhibition hall environment.

[0113] While 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 these embodiments without departing from the principles and spirit of the invention, and that the scope of the 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 regulation module, display environment assessment module, abnormality detection and early warning module and data storage module; The data acquisition module is used to deploy IoT sensors in each exhibition hall and near 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, normalization and data filtering of the collected environmental parameters, and integrate various environmental data through the algorithm model to generate the environmental adaptation coefficient C env , system response coefficient C resp and equipment operating efficiency coefficient C eff , and then the environmental adaptation coefficient C env , system response coefficient C resp The comprehensive control index Ikey is obtained by weighted calculation with the equipment operation efficiency coefficient; The environmental adaptation coefficient C env Calculated using the following formula: ； Where, T actual Indicates temperature, which is the actual temperature value collected, T ideal Indicates the ideal temperature value set for the artwork, H actual Indicates humidity, which is the actual humidity value collected, H ideal Indicates the ideal humidity value set for the artwork, L actual Indicates the light intensity, which is the actual light intensity value collected, L ideal Indicates the ideal light intensity value set for the artwork, W 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; The system response coefficient C resp Calculated using the following formula: ； Where, T event,total Indicates the total duration of the abnormal event, T event Indicates the starting time of the abnormal event, T adjust (t) represents the response time of the system adjustment process at time t, T restore Indicates the environment recovery time, which is the time it takes for the environment to return to normal; The efficiency coefficient C eff Calculated using the following formula: ； Where Toperation represents the total time the device is running, 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 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. According to the set environmental targets, it controls the operating status of air conditioners, humidifiers, and lighting equipment to achieve real-time environmental adjustment and automatically initiates adjustment measures when environmental data exceeds the preset range. The exhibition environment assessment module is used to regularly evaluate the current environmental adjustment effect, adjust environmental parameters according to the changing needs of artworks and audience feedback, and evaluate whether the current environment meets the set exhibition standards and meets the protection requirements of artworks through analysis of the data after environmental adjustment; The anomaly detection and 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 a 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 also has data backup and recovery functions to ensure data integrity in the event of system failure or power outage.

2. The smart exhibition hall control system based on the Internet of Things according to claim 1 is characterized by: 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; The IoT sensor deployment unit is used to deploy IoT sensors in each exhibition hall and near exhibits. The 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, it regularly collects environmental data in the exhibition hall. By combining sensors and monitoring devices, it detects the environmental variables of temperature, humidity and light intensity in the exhibition hall in real time to obtain: temperature T actual 、Humidity H 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 adjust , Environmental recovery time T restore , actual energy consumption E used and ideal energy consumption E expected .

3. The smart exhibition hall control system based on the Internet of Things according to claim 1 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. The 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 conditions, ,equipment operation efficiency and system responsiveness within the exhibition hall; The control index calculation unit is used to generate the environmental adaptation coefficient C env , system response coefficient C resp and equipment operating efficiency coefficient C eff Perform weighted calculation to obtain the comprehensive control index I key , considering environmental adaptability, system responsiveness and equipment effectiveness, reflecting the overall quality of the exhibition hall's environmental control and system operation efficiency; The comprehensive control index Ikey is calculated by the following formula: ； In the formula, α, β, and γ are weight coefficients, which indicate the importance of each coefficient in the system evaluation and are adjusted according to actual needs. α+β+γ=1, C env 、C resp and C eff They are environmental adaptation coefficient, system response coefficient and equipment operation efficiency coefficient respectively.

4. 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 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 an intelligent algorithm. The intelligent algorithm includes machine learning and a rule engine. Based on the environmental adjustment target and the current status, the intelligent algorithm automatically determines the adjustment strategy for the exhibition hall environment. The intelligent algorithm can comprehensively consider temperature, humidity and light factors to accurately adjust the operating status of air conditioners, humidifiers and lighting equipment. The environmental target setting unit is used to set and adjust the environmental targets within the exhibition hall, including target values ​​for 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 within 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.

5. The smart exhibition hall control system based on the Internet of Things according to claim 1 is characterized by: The exhibition 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 based on the changing needs of the artwork and combined with the display environment data. As the display period 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 environmental adjustment unit is used to adjust the exhibition environment by collecting audience feedback data and combining it with environmental assessment results. By investigating the audience's comfort and satisfaction, the system can identify potential environmental problems and automatically initiate optimization measures.

6. The smart exhibition hall control system based on the Internet of Things according to claim 1 is characterized by: The abnormality 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, the system can ensure that environmental changes can be detected in a timely manner to avoid any possible abnormalities that may affect 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 an environmental parameter is found to be out of 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 environmental 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's environmental conditions deviate by more than 50% from the set target, affecting the protection and exhibition environment of artworks, and requiring immediate comprehensive improvement measures; The early warning notification unit is responsible for triggering the early 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.

7. 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 in accordance with the 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 stable operation of the system.

Images