Intelligent construction site health monitoring and early warning system of multi-mode communication

Abstract

The application provides a multi-mode communication intelligent construction site health monitoring and early warning system, comprising a wearable device and a server, the wearable device is used for collecting and sending monitoring data, the monitoring data comprises human physiological information; the server and the wearable device are in communication connection, the server is used for receiving the monitoring data, the server is provided with a translation module and a processing component, the translation module is used for translating the monitoring data into standard format data according to the communication mode between the wearable device and the server, and the processing component is used for judging an abnormal state according to the standard format data and sending an early warning signal. The multi-mode communication intelligent construction site health monitoring and early warning system provided by the application can translate monitoring data in different formats under different communication modes into standard format data through the setting of the translation module, thereby improving the compatibility of the system.

Description

Technical Field

[0001] This application relates to the field of monitoring technology, specifically to a multi-mode communication intelligent construction site health monitoring and early warning system. Background Technology

[0002] In enclosed work environments such as construction sites, due to environmental constraints, diverse equipment, and high real-time requirements for safety warnings, there is a need for real-time collection, processing, and monitoring of the physiological data and location information of on-site personnel (such as construction workers) to ensure timely detection of anomalies and issuance of warnings. In the current fields of industrial automation and construction safety monitoring, technologies based on wearable devices for on-site personnel physiological data monitoring, location tracking, and safety warnings are gradually gaining attention. However, most existing technologies focus only on single communication methods or single functions, lacking integrated and scalable architectural designs. This necessitates extensive customization when dealing with devices from different manufacturers and using different data formats, increasing system maintenance costs and security risks. Utility Model Content

[0003] The main technical problem addressed in this application is to provide a multi-mode communication-based intelligent construction site health monitoring and early warning system to improve system compatibility.

[0004] One embodiment of this application provides a multi-mode communication intelligent construction site health monitoring and early warning system, including:

[0005] Wearable devices for collecting and transmitting monitoring data, including human physiological information;

[0006] The server is communicatively connected to the wearable device. The server is used to receive the monitoring data. The server is equipped with a translation module and a processing component. The translation module is used to translate the monitoring data into standard format data according to the communication method between the wearable device and the server. The processing component is used to judge abnormal status and issue early warning signals according to the standard format data.

[0007] According to one embodiment of this application, the wearable device includes a cellular mobile communication module, which is used to send the monitoring data to the server.

[0008] According to one embodiment of this application, the wearable device includes a WiFi module, and the multi-mode communication intelligent construction site health monitoring and early warning system includes a WiFi gateway. The WiFi module is used to send the monitoring data to the WiFi gateway, and the WiFi gateway is used to send the monitoring data to the server.

[0009] According to one embodiment of this application, the wearable device includes a LoRa module, and the multi-mode communication intelligent construction site health monitoring and early warning system includes a LoRaWAN gateway. The LoRa module is used to send the monitoring data to the LoRaWAN gateway, and the LoRaWAN gateway is used to send the monitoring data to the server using the MQTT protocol.

[0010] According to one embodiment of this application, the wearable device includes a cellular mobile communication module, a WiFi module, and a LoRa module. The multi-mode communication intelligent construction site health monitoring and early warning system includes a communication status monitoring module. The communication status monitoring module is used to monitor the communication status between the wearable device and the server, and adjust the communication mode between the wearable device and the server according to the communication status.

[0011] According to one embodiment of this application, the translation module includes a translation plugin, the translation plugin corresponding to the communication method between the wearable device and the server, and the translation module is configured to load the corresponding translation plugin according to the communication method between the wearable device and the server.

[0012] According to one embodiment of this application, the processing component includes a storage module and an analysis module. The storage module is used to store the standard format data, which includes historical data and real-time data. The analysis module is used to train a prediction model on the historical data using a machine learning model. The processing component uses the prediction model to determine abnormal states of the real-time data.

[0013] According to one embodiment of this application, the processing component includes a judgment module, the standard format data includes the historical data and the real-time data of multiple personnel, the analysis module is used to train the historical data of each individual to form a personalized baseline model, and use the personalized baseline model to analyze the real-time data to generate anomaly indicators, and the judgment module is used to compare the anomaly indicators with the warning threshold to determine the abnormal state.

[0014] According to one embodiment of this application, the processing component includes a feedback module, which is used to send feedback information to the storage module, and the analysis module is used to adjust the prediction model and the early warning threshold according to the feedback information, wherein the feedback information includes environmental data and actual data.

[0015] According to one embodiment of this application, the intelligent construction site health monitoring and early warning system with multi-mode communication includes a monitoring module and a display module. The monitoring module is used to receive the early warning signal and control the display module to display the early warning information.

[0016] The multi-mode communication intelligent construction site health monitoring and early warning system provided in this application, by setting a translation module, can translate monitoring data of different formats under different communication methods into standard format data, so that the multi-mode communication intelligent construction site health monitoring and early warning system can be used with a variety of communication methods, thereby improving the compatibility of the multi-mode communication intelligent construction site health monitoring and early warning system. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the structure of an embodiment of the intelligent construction site health monitoring and early warning system with multi-mode communication according to this application;

[0019] Figure 2 This is a schematic diagram of another embodiment of the intelligent construction site health monitoring and early warning system with multi-mode communication according to this application;

[0020] Figure 3 This is a schematic diagram of the structure of another embodiment of the intelligent construction site health monitoring and early warning system with multi-mode communication according to this application;

[0021] Figure 4 yes Figure 1 The diagram shows the structural schematic of the processing component of the intelligent construction site health monitoring and early warning system with multi-mode communication.

[0022] Figure 5 yes Figure 1 The diagram shows the structure of a wearable device for a multi-mode communication-based intelligent construction site health monitoring and early warning system.

[0023] Figure 6 This is a schematic diagram of another embodiment of the intelligent construction site health monitoring and early warning system with multi-mode communication according to this application.

[0024] The attached diagram lists the components represented by each number as follows:

[0025] The intelligent construction site health monitoring and early warning system with multi-mode communication includes: 10, wearable device 100, cellular mobile communication module 110, WiFi module 120, LoRa module 130, server 200, translation module 210, processing component 220, storage module 221, analysis module 222, judgment module 223, feedback module 224, data receiving module 230, WiFi gateway 300, LoRaWAN gateway 400, communication status monitoring module 500, monitoring module 600, and display module 700. Detailed Implementation

[0026] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the application. Similarly, the following embodiments are only some, not all, embodiments of the present application, and all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of the present application.

[0027] The terms "first," "second," and "third" used in the embodiments of this application are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationships and movement of components in a specific posture (as shown in the figures). If the specific posture changes, the directional indication will also change accordingly. The terms "comprising" and "having," and any variations thereof, in the embodiments of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or components inherent to these processes, methods, products, or devices.

[0028] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0029] This application provides a multi-mode communication intelligent construction site health monitoring and early warning system 10, such as... Figure 1As shown, the multi-mode communication intelligent construction site health monitoring and early warning system 10 includes a wearable device 100 and a server 200. The wearable device 100 is used to collect and send monitoring data, including human physiological information. The server 200 is communicatively connected to the wearable device 100 and is used to receive the monitoring data. The server 200 is equipped with a translation module 210 and a processing component 220. The translation module 210 is used to translate the monitoring data into standard format data according to the communication method between the wearable device 100 and the server 200. The processing component 220 is used to judge abnormal states and issue early warning signals based on the standard format data. The translation module 210 of the multi-mode communication intelligent construction site health monitoring and early warning system 10 can uniformly translate the data formats of multiple communication methods, enabling the server 200 and the wearable device 100 to connect using multiple communication methods. This effectively prevents the instability of a single communication method and improves the compatibility and reliability of the multi-mode communication intelligent construction site health monitoring and early warning system 10.

[0030] In some embodiments, the number of wearable devices 100 can be one or more. Specifically, the number of wearable devices 100 is multiple, and the communication directions between the multiple wearable devices 100 and the server 200 are not exactly the same. The translation module 210 can uniformly translate the data formats of different communication methods, so that the multi-mode communication intelligent construction site health monitoring and early warning system 10 can be compatible with multiple wearable devices 100.

[0031] In some embodiments, the multi-mode communication intelligent construction site health monitoring and early warning system 10 can be applied to closed work environments such as construction sites, and supports multiple communication modes such as cellular networks and wireless local area networks to monitor and warn of the health of workers. The multi-mode communication intelligent construction site health monitoring and early warning system 10 adopts an integrated system solution to address challenges such as environmental limitations, diverse equipment types, and high real-time requirements for safety warnings. The cooperation between the wearable device 100 and the server 200 enables real-time collection, processing, and monitoring of physiological data and location information of on-site workers (such as construction workers), ensuring timely detection of abnormal conditions and issuance of early warnings.

[0032] In some embodiments, wearable devices 100 include VR glasses, AR glasses, smartwatches, and other devices. Different types of wearable devices 100 may employ different communication methods. Existing technologies mostly focus on implementing a single communication method or a single function. When devices such as watches using single or multiple communication methods collect data, each system often uses independent and closed communication protocols, making data interoperability difficult. The system lacks an integrated and scalable architecture design, requiring extensive customization when dealing with devices from different manufacturers and with different data formats, increasing system maintenance costs and security risks. The translation module 210 of this application can achieve unified translation of message protocols, enabling the multi-mode communication intelligent construction site health monitoring and early warning system 10 to seamlessly support multiple device types and leaving room for future expansion by adding new wearable devices 100 and more message types with additional functions.

[0033] In some embodiments, the communication methods between the wearable device 100 and the server 200 include cellular networks and wireless local area networks (WLANs). A cellular network, also known as a mobile network, is a mobile communication hardware architecture, divided into analog cellular networks and digital cellular networks. Common cellular network types include: GSM networks, CDMA networks, 3G networks, 4G networks, 5G networks, FDMA, TDMA, PDC, TACS, AMPS, etc. A wireless local area network refers to a wireless local area network built using wireless technologies; common wireless local area networks include Wi-Fi, infrared, Bluetooth, Zigbee, etc.

[0034] In some embodiments, such as Figure 2 As shown, the wearable device 100 includes a cellular mobile communication module 110, which is used to send monitoring data to the server 200. The wearable device 100 can directly connect to the server 200 via a 4G or 5G network to achieve real-time data transmission.

[0035] In some embodiments, the wearable device 100 includes a WiFi module 120, and the multi-mode communication intelligent construction site health monitoring and early warning system 10 includes a WiFi gateway 300. The WiFi module 120 is used to send monitoring data to the WiFi gateway 300, and the WiFi gateway 300 is used to send the monitoring data to the server 200. Specifically, the WiFi module 120 is a wireless communication module built into the wearable device 100, and its main function is to transmit the monitoring data collected by the wearable device 100 to the WiFi gateway 300 via the WiFi protocol. The WiFi gateway 300 can act as a data relay hub, receiving data from multiple wearable devices 100 and aggregating and uploading it to the server 200. In some embodiments, the WiFi gateway 300 can convert the WiFi protocol into a protocol recognizable by the server 200 (such as HTTP / MQTT).

[0036] In some embodiments, the wearable device 100 includes a LoRa module 130, and the multi-mode communication intelligent construction site health monitoring and early warning system 10 includes a LoRaWAN gateway 400. The LoRa module 130 is used to send monitoring data to the LoRaWAN gateway 400, and the LoRaWAN gateway 400 is used to send monitoring data to the server 200 using the MQTT protocol. The LoRa module 130 is a wireless communication module based on LoRa (Long Range) technology, designed specifically for Low Power Wide Area Network (LPWAN), enabling long-distance, low-power data transmission in complex environments. The LoRa module 130 can send monitoring data to the LoRaWAN gateway 400 via the LoRa protocol. The LoRaWAN gateway 400 is the infrastructure of the LoRaWAN network, responsible for receiving data from terminal devices, protocol conversion, and data forwarding, and is typically deployed at the network edge. The multi-mode communication intelligent construction site health monitoring and early warning system 10 can transmit monitoring data in real time via 4G or WiFi, but in closed scenarios with unstable network coverage, transmission errors or delays are likely to occur. Using LoRa technology can achieve low-power, long-distance transmission to ensure the stability of data transmission.

[0037] In some embodiments, the MQTT protocol includes an MQTT Broker middleware. For monitoring data using LoRa communication, the MQTT Broker middleware acts as a data relay, enabling data interconnection between the wearable device 100 and the server 200. The MQTT Broker middleware supports low-power, wide-range data transmission and manages data subscription and publication through the MQTT protocol, and features data buffering and a simple retransmission mechanism.

[0038] In some embodiments, the MQTT Broker middleware is configured within the LoRaWan gateway 400. In some embodiments, the MQTT Broker middleware may also function as a separate module to forward messages from the LoRaWan gateway 400 to the server 200.

[0039] In some embodiments, the WiFi gateway 300 and the LoRaWan gateway 400 can be integrated into a single gateway, making the overall structure of the multi-mode communication intelligent construction site health monitoring and early warning system 10 simpler and improving overall communication flexibility.

[0040] In some embodiments, the wearable device 100 is a smartwatch, which is used for personnel status monitoring. The main monitoring data collected includes heart rate, blood oxygen, body temperature, fall detection data, positioning based on Bluetooth beacons, SOS emergency rescue requests, etc.

[0041] In some embodiments, the monitoring data is designed in an open, extensible format, allowing for the addition of more functional data types, such as GPS positioning and accelerometer data. The wearable device 100 has a predefined interface through which new data can be embedded into a standard data packet, thereby enabling functional expansion.

[0042] In some embodiments, such as Figure 3 and Figure 5 As shown, the wearable device 100 can support one or more communication methods. For environments with limited wireless signals, such as construction sites, the wearable device 100 can support three communication methods with the server 200: 4G, WiFi, and LoRa. The multi-mode communication intelligent construction site health monitoring and early warning system 10 ensures optimal communication performance in different scenarios by comparing the real-time performance, coverage, and energy consumption management of these three communication methods.

[0043] In some embodiments, the wearable device 100 includes a cellular mobile communication module 110, a WiFi module 120, and a LoRa module 130.

[0044] In some embodiments, the intelligent construction site health monitoring and early warning system 10 with multi-mode communication includes a communication status monitoring module 500, which monitors the communication status between the wearable device 100 and the server 200 and adjusts the communication mode between the wearable device 100 and the server 200 according to the communication status.

[0045] In some embodiments, the communication status monitoring module 500 can be integrated into the wearable device 100. The communication status monitoring module 500 can monitor the link status between the wearable device 100 and the server 200 in real time, evaluate the communication quality, and monitor the device's energy consumption. For example, the communication status monitoring module 500 can quantify the communication quality through indicators such as bit error rate, packet loss rate, and latency jitter, and can statistically analyze the power consumption data of the device during communication through indicators such as radio frequency transmission power and standby current.

[0046] In some embodiments, the communication status monitoring module 500 can automatically select the optimal protocol according to network conditions. Generally, the data transmission rate of WiFi is greater than that of 4G, and the data transmission rate of 4G is greater than that of LoRa. When the WiFi signal is strong, the preferred communication method between the wearable device 100 and the server 200 is WiFi connection. When the wearable device 100 is outside the WiFi signal range or in a weak signal scenario, the WiFi connection can be switched to 4G or LoRa connection to maintain connection stability.

[0047] In some embodiments, a WiFi connection can serve as the primary link between the wearable device 100 and the server 200, while a 4G or LoRa connection can serve as a backup link. When the primary link is interrupted, the communication status monitoring module 500 can quickly switch the network connection to the backup link to ensure the overall early warning capability of the multi-mode communication intelligent construction site health monitoring and early warning system 10, thereby greatly improving the timeliness and safety of on-site emergency response and enhancing the reliability of the multi-mode communication intelligent construction site health monitoring and early warning system 10.

[0048] In some embodiments, the server 200 includes a data receiving module 230, which receives monitoring data from the wearable device 100 and sends the monitoring data to a translation module 210. The translation module 210 translates the monitoring data into standard format data and then sends the standard format data to a processing component 220 for analysis and processing. The multi-mode communication intelligent construction site health monitoring and early warning system 10, by setting up the translation module 210, forms a unified data format and centralized early warning management. This reduces the communication complexity between the server 200 and the wearable device 10, and also reduces the significant configuration costs associated with interface compatibility during later maintenance. The multi-mode communication intelligent construction site health monitoring and early warning system 10 can be designed with a universal translation module 210 and multi-mode communication support in one go, reducing the risk of failure in a single communication mode, forming redundant protection, improving the overall security and stability of the system, and effectively controlling operation and maintenance costs.

[0049] In some embodiments, the translation module 210 includes a translation plugin, which corresponds to the communication method between the wearable device 100 and the server 200. The translation module 210 is configured to load the corresponding translation plugin according to the communication method between the wearable device 100 and the server 200. Different communication methods have different data formats. After receiving monitoring data, the translation module 210 of the server 200 first calls the pluggable translation plugin to translate data of different protocols and formats into a unified standard information format for easier subsequent processing. The translation plugin adopts a modular design, with each wearable device 100 or communication method corresponding to an independent translation plugin. When new wearable devices 100 need to be supported, only the corresponding translation plugin needs to be developed and registered in the multi-mode communication intelligent construction site health monitoring and early warning system 10. By adding or modifying the translation plugin, the multi-mode communication intelligent construction site health monitoring and early warning system 10 can be compatible with new wearable devices 100 without modifying the overall architecture. The translation plugin design improves the compatibility and convenience of the multi-mode communication intelligent construction site health monitoring and early warning system 10, and reduces the cost of secondary development and maintenance difficulty.

[0050] In some embodiments, after receiving data from the translation module 210, the processing component 220 performs real-time data parsing, abnormal state judgment, and other operations. Specifically, the processing component 220 compares the data according to preset thresholds and rules, and judges abnormal situations such as abnormal heart rate or body temperature, or fall detection triggering.

[0051] In some embodiments, when the processing component 220 determines that the real-time data is in an abnormal state, it may issue an early warning signal, which may be notified to the on-site management personnel through channels such as SMS, APP push, and email.

[0052] In some embodiments, such as Figure 4 As shown, the processing component 220 includes a storage module 221 and an analysis module 222. The storage module 221 is used to store standard format data. The translation module 210 sends the standard format data to the processing component 220, and the data is simultaneously stored in the storage module 221 to support historical data query and statistical analysis. The storage module 221 can be a storage unit such as a database.

[0053] In some embodiments, the standard format data includes historical data and real-time data. The analysis module 222 is used to train the historical data using a machine learning model to form a prediction model. The processing component 220 uses the prediction model to determine abnormal states (such as abnormal heart rate, fall events, etc.) in the real-time data.

[0054] In some embodiments, the processing component 220 uses machine learning models (such as decision trees, neural networks, support vector machines, etc.) to train historical data to form a predictive model, thereby achieving real-time outlier detection. Once a data indicator (such as heart rate, body temperature) is found to deviate from the normal range, not only is an early warning mechanism triggered, but the predictive model also predicts possible subsequent changes and anticipates risks in advance.

[0055] In some embodiments, the processing component 220 includes a judgment module 223. Standard format data includes historical and real-time data from multiple personnel. The analysis module 222 is used to train a personalized baseline model on the historical data of each individual, and to analyze the real-time data using the personalized baseline model to generate abnormal indicators. The judgment module 223 compares the abnormal indicators with warning thresholds to determine an abnormal state. Since changes in heart rate, body temperature, and other data vary among different personnel, the personalized baseline model allows for targeted analysis of the physiological state of each worker, reducing false alarms and missed alarms, and improving the accuracy of anomaly identification. When the abnormal indicators obtained by the processing component 220 from the real-time data analysis are within the warning threshold, the judgment module 223 determines that the worker is in a normal state; when the abnormal indicators are outside the warning threshold, the judgment module 223 determines that the worker is in an abnormal state.

[0056] In some embodiments, the intelligent construction site health monitoring and early warning system 10 with multi-mode communication establishes a personalized baseline model based on the historical data of each worker. Each worker has a standard state based on historical data. When the real-time data deviates significantly from this standard state, the intelligent construction site health monitoring and early warning system 10 with multi-mode communication can automatically raise the early warning level according to preset rules to reduce the false alarm rate.

[0057] In some embodiments, the processing component 220 includes a feedback module 224, which sends feedback information to the storage module 221. The analysis module 222 adjusts the prediction model and early warning threshold based on the feedback information. The feedback information includes environmental data and actual data. Environmental data includes on-site temperature, humidity, noise, and other environmental information. Actual data includes actual values ​​indicating whether workers are in an abnormal state. The feedback information is stored in the storage module 221 to form historical data, which can be updated in real time. The analysis module 222 can train and adjust the prediction model and early warning threshold based on the historical data. For different environmental factors and work scenarios, the multi-mode communication intelligent construction site health monitoring and early warning system 10 can continuously update the prediction model parameters using real-time updated historical data, adaptively adjust the early warning threshold, and ensure that the threshold can be automatically adjusted under different working conditions, improving the accuracy and real-time performance of the early warning.

[0058] In some embodiments, such as Figure 6As shown, the multi-mode communication intelligent construction site health monitoring and early warning system 10 includes a monitoring module 600 and a display module 700. The monitoring module 600 receives early warning signals from the processing component 220 and controls the display module 700 to display early warning information. The monitoring module 600 is mainly for construction site management personnel, providing them with intuitive display of worker status data and early warning information. When the server 200 detects an abnormal state, the monitoring module 600 automatically receives the early warning signal and promptly displays the early warning information on the background display module 700 to reflect the current abnormal state. The early warning information includes abnormal heart rate alerts, fall event location, emergency SOS signals, and other customizable early warning notifications, ensuring that management personnel can take effective measures at the first opportunity.

[0059] In some embodiments, if the monitoring module 600 issues an abnormal warning for the status of a certain area or personnel, the multi-mode communication intelligent construction site health monitoring and early warning system 10 can automatically record the abnormal data and trigger further responses, such as automatically requesting on-site support or alarm linkage.

[0060] In some embodiments, the server 200 can process the collected historical and real-time data based on AI algorithms to provide early warnings of potential health anomalies and safety risks; the monitoring module 600 can send alarm information to on-site management personnel or emergency centers through various channels (SMS, APP push, email, etc.) to improve the real-time performance and accuracy of on-site safety assurance.

[0061] In some embodiments, the data processing process of the multi-mode communication intelligent construction site health monitoring and early warning system 10 includes: data acquisition: acquiring multiple physiological indicators and location information from a smartwatch and uploading them to the server 200 on a timed or event-driven basis; feature extraction: preprocessing the raw data (such as noise filtering and data normalization) to extract key health parameter features (such as heart rate fluctuations, body temperature change trends, etc.); model training: cross-validating based on historical datasets and training the model using decision trees, neural networks, or anomaly detection algorithms; error control: by setting a validation set and using a feedback mechanism, comparing the error between actual and predicted data, and adjusting model parameters to reduce prediction error; data calibration and feedback loop: establishing a real-time feedback mechanism, continuously incorporating actual abnormal events reported by the monitoring module 600 as new samples into the model, retraining and updating, forming a closed-loop feedback.

[0062] In some embodiments, the multi-mode communication intelligent construction site health monitoring and early warning system 10 adopts a layered deployment in terms of hardware architecture. Wearable devices 100 are distributed in various work areas on site, gateway devices are concentrated in locations with good signal coverage, and servers 200 and MQTT Brokers are deployed at the edge of the site or centrally managed through the cloud. The layered deployment design can effectively solve the problems of limited network coverage, frequent interference, and uneven device distribution in closed work scenarios such as construction sites.

[0063] In some embodiments, the multi-mode communication intelligent construction site health monitoring and early warning system 10 utilizes WiFi gateway 300 and LoRaWan gateway 400 to build a secondary or multi-level signal coverage network at the work site to ensure that the wearable device 100 can still transmit data normally even in areas with poor signal conditions.

[0064] In some embodiments, the intelligent construction site health monitoring and early warning system 10 with multi-mode communication may also include a 4G base station or a portable network repeater to further improve network stability and data real-time performance, ensure network stability, significantly reduce security risks caused by signal problems, and ensure the robustness and reliability of the intelligent construction site health monitoring and early warning system 10 with multi-mode communication in complex environments.

[0065] This application proposes a multi-mode communication intelligent construction site health monitoring and early warning system 10, integrating data acquisition, processing, storage, and monitoring, specifically for enclosed and complex construction sites. The system optimizes hardware setup, network deployment, and information processing to ensure stable and reliable operation. The multi-mode communication intelligent construction site health monitoring and early warning system 10 can be used for personnel location, safety early warning, and personnel status monitoring in enclosed work environments such as construction sites. It adopts a modular and scalable design for data acquisition, transmission, translation, and early warning feedback. Through a unified data processing mechanism and automatic early warning feedback mechanism for different communication methods, it not only improves the real-time performance of on-site safety management but also addresses the shortcomings of existing systems in data interoperability, protocol compatibility, and signal coverage, thereby improving safety, reducing maintenance costs, and enhancing system scalability. The application of AI-based personnel status analysis and an adaptive early warning threshold adjustment system further enhances the accuracy of safety early warnings. The multi-mode communication intelligent construction site health monitoring and early warning system 10 is applicable to large-scale access and safety management scenarios for smart wearable devices, providing efficient and secure monitoring and management for various enclosed and semi-enclosed work areas.

[0066] The above description is only a part of the embodiments of this application and does not limit the scope of protection of this application. Any equivalent device or equivalent process transformation made based on the content of this application specification and drawings, or direct or indirect application in other related technical fields, are similarly included in the patent protection scope of this application.

Claims

1. A multi-mode communication intelligent construction site health monitoring and early warning system, characterized in that, include: Wearable devices for collecting and transmitting monitoring data, including human physiological information; The server is communicatively connected to the wearable device. The server is used to receive the monitoring data. The server is equipped with a translation module and a processing component. The translation module is used to translate the monitoring data into standard format data according to the communication method between the wearable device and the server. The processing component is used to judge abnormal status and issue early warning signals according to the standard format data.

2. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 1, characterized in that, The wearable device includes a cellular mobile communication module, which is used to send the monitoring data to the server.

3. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 1, characterized in that, The wearable device includes a WiFi module, and the multi-mode communication intelligent construction site health monitoring and early warning system includes a WiFi gateway. The WiFi module is used to send the monitoring data to the WiFi gateway, and the WiFi gateway is used to send the monitoring data to the server.

4. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 1, characterized in that, The wearable device includes a LoRa module, and the multi-mode communication intelligent construction site health monitoring and early warning system includes a LoRaWan gateway. The LoRa module is used to send the monitoring data to the LoRaWan gateway, and the LoRaWan gateway is used to send the monitoring data to the server using the MQTT protocol.

5. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 1, characterized in that, The wearable device includes a cellular mobile communication module, a WiFi module, and a LoRa module. The multi-mode communication intelligent construction site health monitoring and early warning system includes a communication status monitoring module. The communication status monitoring module is used to monitor the communication status between the wearable device and the server, and adjust the communication mode between the wearable device and the server according to the communication status.

6. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 1, characterized in that, The translation module includes a translation plugin, which corresponds to the communication method between the wearable device and the server. The translation module is configured to load the corresponding translation plugin according to the communication method between the wearable device and the server.

7. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 1, characterized in that, The processing component includes a storage module and an analysis module. The storage module is used to store the standard format data, which includes historical data and real-time data. The analysis module is used to train a prediction model on the historical data using a machine learning model. The processing component uses the prediction model to determine abnormal states of the real-time data.

8. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 7, characterized in that, The processing component includes a judgment module. The standard format data includes historical data and real-time data of multiple individuals. The analysis module is used to train a personalized baseline model on the historical data of each individual to form a personalized baseline model, and to analyze the real-time data using the personalized baseline model to generate anomaly indicators. The judgment module is used to compare the anomaly indicators with warning thresholds to determine the abnormal state.

9. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 7, characterized in that, The processing component includes a feedback module, which sends feedback information to the storage module. The analysis module adjusts the prediction model and early warning threshold based on the feedback information. The feedback information includes environmental data and actual data.

10. The intelligent construction site health monitoring and early warning system with multi-mode communication according to claim 1, characterized in that, The intelligent construction site health monitoring and early warning system with multi-mode communication includes a monitoring module and a display module. The monitoring module is used to receive the early warning signal and control the display module to display the early warning information.

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