Building equipment remote monitoring and maintenance method based on Internet of Things

Abstract

The invention discloses a building equipment remote monitoring and maintenance method based on the Internet of Things, and the method employs a unified data communication protocol and gateway equipment, and enables building equipment of different brands, models and types to be accessed to an Internet of Things platform through multi-protocol conversion for centralized management and remote monitoring. The gateway equipment supports the automatic protocol adaptation of the equipment, ensures the compatibility among different equipment, and can adjust the data format and the communication frequency according to the equipment type. Through the multi-protocol conversion gateway technology, different devices can automatically adapt to the unified management protocol of the Internet of Things platform, the devices do not need to be complexly upgraded or reformed, so that the compatibility problem caused by diversity of device brands and models is solved, the block chain technology ensures the safety and non-tampering performance of device monitoring data, and the safety and reliability of the device monitoring data are improved. And data leakage and forgery are prevented, so that the reliability of the operation data of the building equipment is guaranteed. The transparency and traceability of data records greatly enhance the management and auditing capabilities.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet of Things, and particularly to a method for remote monitoring and maintenance of building equipment based on the Internet of Things. Background Art

[0002] The method for remote monitoring and maintenance of building equipment based on the Internet of Things utilizes sensors, wireless communication technology, and a cloud computing platform to achieve real-time monitoring and remote management of various types of equipment in buildings (such as air conditioners, elevators, lighting systems, HVAC equipment, etc.). By installing sensors on the equipment, the operating data of the equipment (such as temperature, humidity, pressure, current, etc.) is collected, and the data is transmitted to the cloud platform through Internet of Things technology for storage and analysis. Managers can monitor the equipment status in real time through the remote platform, give early warnings of equipment failures or performance anomalies, and then conduct preventive maintenance to reduce equipment downtime and maintenance costs. At the same time, the system can also automatically generate maintenance suggestions or repair orders according to the operating conditions of the equipment, optimize the repair process, and improve the efficiency and safety of building management.

[0003] In the prior art, although the method for remote monitoring and maintenance of building equipment based on the Internet of Things has made remarkable progress in improving the management efficiency of building equipment, there are still some disadvantages: Since sensors and monitoring devices will collect a large amount of data, including equipment status, environmental data, etc., if this data is not fully protected, it may be subject to hacker attacks or leakage, thus threatening the security of the building management system and user privacy; Different brands and types of building equipment often use different communication protocols or standards, which may lead to compatibility problems when integrating the Internet of Things system, and seamless connection and unified management between different devices cannot be achieved; The Internet of Things system relies on network transmission of data. If the network connection is unstable or interrupted, it may cause monitoring data to be lost or delayed, affecting the timeliness of remote monitoring and fault warning, and thus affecting maintenance decisions; Although the Internet of Things technology can bring cost savings in maintenance in the long run, the initial purchase of equipment, installation of sensors, and deployment of the system require a large investment. Especially for old buildings or small buildings, the cost of equipment upgrading is relatively high; As the number of devices increases, the amount of generated data also doubles. Existing systems may be difficult to efficiently process and analyze massive data, resulting in the inability to timely discover potential faults or optimize maintenance strategies, and reducing the efficiency of intelligent management; Currently, the application of Internet of Things technology in the building field still lacks unified standards and specifications. Products of different manufacturers may be incompatible with each other, lacking cross-platform data sharing and collaborative management, which affects the integration degree and effect of the overall system.

[0004] Therefore, we propose a method for remote monitoring and maintenance of building equipment based on the Internet of Things. Summary of the Invention

[0005] To achieve the above object, the present invention provides the following technical solutions: A method for remote monitoring and maintenance of building equipment based on the Internet of Things, which uses a unified data communication protocol and gateway device to connect building equipment of different brands, models and types to the Internet of Things platform through multi-protocol conversion for centralized management and remote monitoring; the gateway device supports automatic protocol adaptation of the equipment to ensure compatibility between different devices, and can adjust the data format and communication frequency according to the device type.

[0006] Preferably, the communication protocol is a set of standardized multi-layer protocols that can achieve compatible conversion of communication between devices, specifically including but not limited to protocols such as Wi-Fi, LoRa, Zigbee, Bluetooth, etc., and the gateway device has a protocol adaptation function that can automatically detect the device type and select the optimal communication method for connection.

[0007] Preferably, end-to-end encryption technology is used for data transmission between the device and the Internet of Things platform, and decentralized storage is achieved through blockchain technology during the data storage process to ensure the security, immutability and transparency of the data; the data sent by each device includes information such as device ID, timestamp, device status, etc., and an unchangeable record is generated on the blockchain to ensure the ability to trace and verify all data.

[0008] Preferably, the data stored in the blockchain includes not only device status data, but also device fault records, maintenance records and historical logs to ensure the authenticity and traceability of each event.

[0009] Preferably, the Internet of Things system monitors the network status in real time through a network monitoring module. When the network is unstable, the system automatically switches to a backup network (such as 5G, LoRa, etc.) or optimizes the data transmission path to ensure the real-time and stability of remote monitoring data; and dynamically adjusts the data transmission frequency according to network quality and device requirements.

[0010] Preferably, the intelligent network adaptive scheduling mechanism adjusts the network bandwidth and data compression ratio according to the importance of the device and the different environments it is in to optimize data transmission to the greatest extent and ensure the stability of real-time data monitoring.

[0011] Preferably, the Internet of Things platform analyzes device operation data, environmental data, historical maintenance data and external factors (such as weather, etc.), uses artificial intelligence (AI) and machine learning algorithms to predict device failures, and automatically generates an optimized maintenance plan according to the prediction results; provides maintenance warnings, fault prediction reports and recommended maintenance plans to management personnel through the intelligent recommendation system of the cloud platform.

[0012] Preferably, the intelligent fault prediction method uses a machine learning model based on regression analysis, classification algorithms, and time series analysis. The model is trained with historical data and compared and analyzed with real-time data to determine whether there is a potential fault risk in the equipment.

[0013] Preferably, the cloud platform displays information such as the real-time status, health status, energy consumption data, and fault warnings of the equipment to the user through a multi-dimensional visualization interface. The user can directly view the operation status, historical data, predictive maintenance information, etc. of the equipment through the interface, supporting multi-scenario management across devices and regions.

[0014] Preferably, the cloud visualization platform includes an equipment status dashboard, an alarm management system, an energy efficiency analysis module, and a maintenance log module. The platform can provide different levels of permissions and operation functions according to different user roles (such as administrators, maintenance personnel, etc.).

[0015] Compared with the prior art, the present invention provides a method for remote monitoring and maintenance of building equipment based on the Internet of Things, having the following beneficial effects:

[0016] 1. For the method for remote monitoring and maintenance of building equipment based on the Internet of Things, through the multi-protocol conversion gateway technology, different devices can automatically adapt to the unified management protocol of the Internet of Things platform without complex upgrades or modifications to the devices, thus solving the compatibility problems brought about by the diversification of device brands and models. The blockchain technology ensures the security and immutability of device monitoring data, preventing data leakage and forgery, thereby guaranteeing the reliability of the operation data of building equipment. The transparency and traceability of data records greatly enhance the management and auditing capabilities.

[0017] 2. For the method for remote monitoring and maintenance of building equipment based on the Internet of Things, through intelligent network adaptive scheduling, it is ensured that when the network is unstable or interrupted, the monitoring system can still operate stably. This technology solves the common problem of device monitoring interruption caused by network problems in the Internet of Things system, ensuring the continuity of data transmission. The intelligent fault prediction method based on big data and artificial intelligence can identify potential problems of the device in advance, reducing the downtime and high maintenance costs caused by device failures. By intelligently generating maintenance plans, the pertinence and accuracy of maintenance work are ensured, improving the service life and performance of the equipment.

[0018] 3. For the method for remote monitoring and maintenance of building equipment based on the Internet of Things, through the centralized cloud visualization platform, managers can monitor the status of multiple devices in real time and remotely diagnose device faults without going to the site. The automatic generation of intelligent maintenance suggestions reduces manual intervention, improves work efficiency, and thus reduces the overall management and maintenance costs. Detailed implementation manners

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Embodiment

[0021] Embodiment of the Remote Monitoring and Maintenance Method for Building Equipment Based on the Internet of Things

[0022] For the remote monitoring and maintenance method of building equipment based on the Internet of Things, a unified data communication protocol and gateway device are adopted. Different brands, models, and types of building equipment are connected to the Internet of Things platform through multi-protocol conversion for centralized management and remote monitoring. The gateway device supports automatic protocol adaptation of the equipment, ensures compatibility between different devices, and can adjust the data format and communication frequency according to the device type.

[0023] Specifically, the communication protocol is a set of standardized multi-layer protocols that can achieve compatible conversion of communication between devices, including but not limited to protocols such as Wi-Fi, LoRa, Zigbee, and Bluetooth. And the gateway device has a protocol adaptation function, which can automatically detect the device type and select the optimal communication method for connection.

[0024] Specifically, end-to-end encryption technology is adopted for data transmission between the device and the Internet of Things platform, and decentralized storage is achieved through blockchain technology during the data storage process to ensure the security, immutability, and transparency of the data. The data sent by each device includes information such as device ID, timestamp, and device status, generating an unchangeable record on the blockchain to ensure the ability to trace and verify all data.

[0025] Specifically, the data stored in the blockchain not only includes device status data but also includes device fault records, maintenance records, and historical logs to ensure the authenticity and traceability of each event.

[0026] Specifically, the Internet of Things system monitors the network status in real time through the network monitoring module. When the network is unstable, the system automatically switches to a backup network (such as 5G, LoRa, etc.) or optimizes the data transmission path to ensure the real-time and stability of remote monitoring data; and dynamically adjusts the data transmission frequency according to the network quality and device requirements.

[0027] Specifically, the intelligent network adaptive scheduling mechanism adjusts the network bandwidth and data compression ratio according to the importance of the device and the different environments it is in to optimize data transmission to the greatest extent and ensure the stability of real-time data monitoring.

[0028] Specifically, the Internet of Things platform analyzes device operation data, environmental data, historical maintenance data, and external factors (such as weather, etc.), uses artificial intelligence (AI) and machine learning algorithms to predict device failures, and automatically generates optimized maintenance plans based on the prediction results; provides maintenance warnings, failure prediction reports, and recommended maintenance solutions to management personnel through the intelligent recommendation system of the cloud platform.

[0029] Specifically, the intelligent failure prediction method uses a machine learning model based on regression analysis, classification algorithms, and time series analysis, trains the model with historical data, and performs comparison and analysis on real-time data to determine whether the device has potential failure risks.

[0030] Specifically, the cloud platform displays information such as the real-time status, health status, energy consumption data, and failure warnings of devices to users through a multi-dimensional visualization interface. Users can directly view the operation conditions, historical data, predictive maintenance information, etc. of the devices through the interface, supporting multi-scenario management across devices and regions.

[0031] Specifically, the cloud visualization platform includes a device status dashboard, an alarm management system, an energy efficiency analysis module, and a maintenance log module. The platform can provide different levels of permissions and operation functions according to different user roles (such as administrators, maintenance personnel, etc.).

[0032] Through the above technical solutions, in the present invention, through the multi-protocol conversion gateway technology, different devices can automatically adapt to the unified management protocol of the Internet of Things platform without complex upgrades or modifications to the devices, thus solving the compatibility problems brought about by the diversification of device brands and models. The blockchain technology ensures the security and immutability of device monitoring data, preventing data leakage and forgery, thereby guaranteeing the reliability of building device operation data. The transparency and traceability of data records greatly enhance the management and auditing capabilities. Through intelligent network adaptive scheduling, it is ensured that when the network is unstable or interrupted, the monitoring system can still operate stably. This technology solves the common problem of device monitoring interruption caused by network problems in the Internet of Things system, ensures the continuity of data transmission. The intelligent failure prediction method based on big data and artificial intelligence can identify potential problems of devices in advance, reducing downtime and high maintenance costs caused by device failures. By intelligently generating maintenance plans, it ensures that the maintenance work is more targeted and precise, improving the service life and performance of devices. Through the centralized cloud visualization platform, management personnel can monitor the status of multiple devices in real time and remotely diagnose device failures without going to the site. The automatic generation of intelligent maintenance suggestions reduces manual intervention, improves work efficiency, and thus reduces the overall management and maintenance costs.

[0033] In a large commercial building, HVAC systems, lighting control systems, elevator monitoring systems, etc. from different manufacturers are installed. These devices are connected to the Internet of Things platform through a gateway that supports multiple communication protocols. Each device automatically adapts to the gateway according to its protocol, and the gateway optimizes the data transmission method according to the device characteristics, enabling the data of all devices to be uniformly transmitted and stored in the cloud platform. Managers can view the operation data of different devices in real time through the platform and conduct management and maintenance as needed;

[0034] The data of all devices is transmitted through an encryption algorithm and written into the blockchain system in real time. Each time information such as the operation data, fault records, and maintenance records of the device is generated into an immutable blockchain record. Administrators can retrieve this data at any time to ensure the authenticity of the device's historical records. At the same time, through the transparency of the blockchain, all operations can be traced, ensuring the security and integrity of the data;

[0035] The platform collects the working data of all devices in real time and uses machine learning algorithms to train the historical operation data of the devices to establish a prediction model. By monitoring the device status, when the operation parameters of the device deviate from the normal state, the system will automatically issue a warning. The system will also generate intelligent maintenance suggestions based on the prediction results, including suggestions for checking specific components of the device, replacing components, etc., to help managers solve potential device failures in a timely manner;

[0036] Through the cloud platform, managers can view the status of devices using a smartphone or computer anywhere. The platform displays the real-time operation status, energy efficiency data, historical fault records, and predictive maintenance plans of the devices. Through the alarm system of the platform, managers can receive alarm information about device failures in real time and perform repairs or arrange maintenance according to the suggestions provided by the platform.

[0037] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for remote monitoring and maintenance of building equipment based on the Internet of Things, characterized in that: Adopt a unified data communication protocol and gateway device to connect building equipment of different brands, models and types to the Internet of Things platform through multi-protocol conversion for centralized management and remote monitoring; the gateway device supports automatic protocol adaptation of devices to ensure compatibility between different devices and can adjust the data format and communication frequency according to the device type.

2. The method for remotely monitoring and maintaining building equipment based on the Internet of Things according to claim 1, wherein: The communication protocol is a set of standardized multi-layer protocols that can achieve compatible conversion of communication between devices, specifically including but not limited to protocols such as Wi-Fi, LoRa, Zigbee, Bluetooth, etc. And the gateway device has a protocol adaptation function, which can automatically detect the device type and select the optimal communication method for connection.

3. The method for remotely monitoring and maintaining building equipment based on the Internet of Things according to claim 1, characterized in that: End-to-end encryption technology is adopted for data transmission between the device and the Internet of Things platform, and decentralized storage is achieved through blockchain technology during the data storage process to ensure the security, immutability and transparency of the data; The data sent by each device includes information such as device ID, timestamp, device status, etc., generating an unchangeable record on the blockchain to ensure the ability to trace and verify all data.

4. The method for remote monitoring and maintenance of building equipment based on the Internet of Things according to claim 3, characterized in that: The data stored in the blockchain not only includes device status data, but also includes device fault records, maintenance records and historical logs to ensure the authenticity and traceability of each event.

5. The method for remotely monitoring and maintaining building equipment based on the Internet of Things according to claim 1, characterized in that: The Internet of Things system monitors the network status in real time through the network monitoring module. When the network is unstable, the system automatically switches to the backup network (such as 5G, LoRa, etc.) or optimizes the data transmission path to ensure the real-time and stability of remote monitoring data; and dynamically adjusts the data transmission frequency according to the network quality and device requirements.

6. The method for remote monitoring and maintenance of building equipment based on the Internet of Things according to claim 5, characterized in that: The intelligent network adaptive scheduling mechanism adjusts the network bandwidth and data compression ratio according to the importance of the device and the different environments it is in to optimize data transmission to the greatest extent and ensure the stability of real-time data monitoring.

7. The method for remotely monitoring and maintaining building equipment based on the Internet of Things according to claim 1, wherein: The Internet of Things platform analyzes device operation data, environmental data, historical maintenance data and external factors (such as weather, etc.), uses artificial intelligence (AI) and machine learning algorithms to predict device faults, and automatically generates an optimized maintenance plan according to the prediction results; provides maintenance warnings, fault prediction reports and recommended maintenance plans to management personnel through the intelligent recommendation system of the cloud platform.

8. The method for remote monitoring and maintenance of building equipment based on the Internet of Things according to claim 7, characterized in that: The intelligent fault prediction method uses a machine learning model based on regression analysis, classification algorithms and time series analysis, trains the model through historical data, and conducts comparison and analysis on real-time data to determine whether the device has potential fault risks.

9. The method for remotely monitoring and maintaining building equipment based on the Internet of Things according to claim 1, characterized in that: The cloud platform displays information such as the real-time status, health status, energy consumption data, and fault warnings of the device to users through a multi-dimensional visualization interface. Users can directly view the operation status, historical data, predictive maintenance information, etc. of the device through the interface, supporting multi-scenario management across devices and regions.

10. The method for remotely monitoring and maintaining building equipment based on the Internet of Things according to claim 9, wherein: The cloud visualization platform includes a device status dashboard, an alarm management system, an energy efficiency analysis module and a maintenance log module. The platform can provide different levels of permissions and operation functions according to different user roles (such as administrators, maintenance personnel, etc.).