An intelligent management system and method for occupational health monitoring archives

Abstract

The application provides an intelligent management system and method for occupational health monitoring archives, and relates to the technical field of health management, characterized in that the system comprises a data collection end, a data processing end, a data analysis end and a user interaction end; the data collection end can obtain information of different data sources, and upload the information to the data processing end according to personal information input content; the data processing end unpacks, classifies and filters redundant data content of the data uploaded by the data collection end, then extracts data features, classifies and identifies the data features according to content, uploads the data features to the data analysis end, and summarizes the results; the user interaction end receives information data obtained by the data analysis end, calls corresponding generated processing programs, and sends corresponding information to corresponding individuals or administrators, so that efficient health tracking management is realized. The application has the advantages that the physical state information of employees can be accurately judged through multiple data, and the overall judgment and warning efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of health management technology, and in particular to an intelligent management system and method for occupational health monitoring records. Background Technology

[0002] With the development of IoT technology, more and more information-based devices and related control systems are being applied in various fields, especially in industry and mining, where these technologies are widely used to supplement timely monitoring of employees and ensure their health and safety. However, most existing technologies rely on wearable sensors for passive monitoring and management of an individual's physical condition. Such management systems lack the ability to integrate and analyze other data; they can only passively identify and judge an employee's physical condition during work, failing to comprehensively analyze the causes of problems or provide proactive warnings based on the work environment. They also cannot adequately alert to potential hazards, thus failing to meet current practical needs. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent management system and method for occupational health monitoring records, which solves the technical problems of existing technologies, such as the inability to obtain multi-terminal data information, poor problem analysis effect, and slow early warning speed. It achieves the technical effect of combining multiple data sources for full analysis to improve the overall accuracy of judgment and the overall speed of early warning.

[0004] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows:

[0005] An intelligent management system for occupational health monitoring records includes a data collection terminal, a data processing terminal, a data analysis terminal, and a user interaction terminal. The data collection terminal includes environmental sensors and wearable sensors. The environmental sensors are installed inside the mine tunnel and its associated hazardous areas to identify gas, temperature, pressure, and geological data within the corresponding environment. The wearable sensors acquire the wearer's heart rate, movement trajectory, and blood pressure and oxygen saturation data, matching and uploading this data to the data processing terminal based on personal information entered into the system. The data processing terminal unpacks and categorizes the data uploaded from the data collection terminal, filtering out redundant data, and then extracts data features. These features are categorized and labeled according to their content and uploaded to the data analysis terminal. The data analysis terminal combines this data with a database to match the corresponding features, processes the data, and summarizes the results. The user interaction terminal receives the information from the data analysis terminal and invokes the corresponding processing program to send relevant information to the individual or administrator, achieving efficient health tracking and management.

[0006] As an improvement, the data collection terminal will access the data classification information in the cloud database via the Internet. After preliminary classification and tracing, it will match the corresponding data processing terminal and package and upload it to the data processing terminal. During the packaging and uploading process, the data will be classified and marked. During the uploading process, the administrator can allocate different computing power according to the weight of the data information for rapid and centralized processing of important data information.

[0007] As an improvement, the data processing terminal matches the data to the corresponding processing module according to the classification during packaging, and then unpacks the data and puts it into the filtering and cleaning process. After cleaning up the miscellaneous data, the corresponding data features are extracted. The data feature extraction is carried out by the administrator setting the corresponding parameters and then input into the model algorithm for processing. Abnormal data information or abnormal feature information is classified and identified according to the data source, and then the information is uploaded to the data analysis terminal for processing.

[0008] As an improvement, the data analysis terminal will analyze the feature data content, identify the corresponding content, and then match the corresponding problem summary and processing method with the segment database. Subsequently, the problem information will be checked again, the core of the problem and the processing result content will be extracted, summarized and organized, and uploaded to the user interaction terminal.

[0009] As an improvement, the user interaction terminal summarizes and organizes the data uploaded by the data analysis terminal, and then transmits the relevant information to the corresponding personnel's terminal or APP content via the Internet, and initiates the corresponding processing and early warning prompt program. The user interaction terminal can also record other backend data, including diet and rest time, and transmit it to the cloud database and data analysis terminal for analysis and judgment, adding other content items to the analysis results.

[0010] A method for intelligent management of occupational health monitoring records includes the following steps: Step 1: Matching employee data, wearable sensors, and personal terminals, and then storing and recording the data;

[0011] Step 2: After classifying and storing the dataset from Step 1, personnel data can be accessed to the hospital system. Additional records are made for different symptoms. At the same time, the causes of symptoms are determined by combining the work information in the cloud database. Treatment plans and early warning information are directly exported from the cloud database, and the corresponding problem data information is sent by the administrator to assist employees in rehabilitation and recuperation.

[0012] Step 3: After summarizing the processing solution information in Step 2, the corresponding data will be sent to the employees' terminals, and health management tracking will be carried out in combination with the data information that the terminals can obtain.

[0013] The beneficial effects of this invention are as follows: by setting up a data collection terminal, different data information can be fully obtained from the work environment and individuals. Environmental information and physical information can be packaged and uploaded to the data processing terminal. By setting up the data processing terminal, information from multiple channels can be efficiently integrated and filtered. By setting up the data analysis terminal, information from multiple channels can be fully analyzed to obtain more comprehensive analysis and processing results, thereby improving the overall accuracy of the assessment. In conjunction with the user interaction terminal, information can be quickly obtained from users and administrators, and early warning processing can be carried out according to specific circumstances. Attached Figure Description

[0014] Figure 1 This is a structural block diagram of an intelligent management system and method for occupational health monitoring records according to the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0016] It should be noted that the terms "first" and "second" in this application are used 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" or "second" 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. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus 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 units inherent to these processes, methods, products, or apparatuses.

[0017] like Figure 1As shown, an intelligent management system for occupational health monitoring records includes a data collection terminal, a data processing terminal, a data analysis terminal, and a user interaction terminal. The data collection terminal includes environmental sensors and wearable sensors. The environmental sensors are installed inside the mine tunnel and its associated hazardous areas to identify gas, temperature, pressure, and geological data within the corresponding environment. The wearable sensors acquire the wearer's heart rate, movement trajectory, and blood pressure and oxygen saturation data, matching and uploading this data to the data processing terminal based on personal information entered into the system. The data processing terminal unpacks and categorizes the data uploaded from the data collection terminal, filtering out redundant data, and then extracts data features. These features are categorized and labeled according to their content and uploaded to the data analysis terminal. The data analysis terminal combines this data with a database to match the corresponding features, processes the data, and summarizes the results. The user interaction terminal receives the information from the data analysis terminal and invokes the corresponding processing program to send relevant information to the individual or administrator, achieving efficient health tracking and management. The environmental sensors are networked according to the characteristics of the designated area, with an integrated terminal in the corresponding area connecting to the internet. This allows for simultaneous monitoring of the operation of each sensor, reducing the computational burden on the terminal.

[0018] The data collection terminal accesses data classification information in a cloud database via the internet. After initial classification and tracing, it matches the corresponding data processing terminal for packaging and uploading. During the packaging and uploading process, the data is categorized and marked. Administrators can allocate different computing power based on data information weights for rapid centralized processing of important data. The data processing terminal matches the data to the corresponding processing module based on the classification during packaging, then unpacks the data and puts it into filtering and cleaning. After cleaning up miscellaneous data, corresponding data features are extracted. The data feature extraction is performed by the administrator setting corresponding parameters and then fed into the model algorithm for processing. Abnormal data or abnormal feature information is classified and identified according to the data source, and then the information is uploaded to the data analysis terminal for processing. An artificial intelligence module can be added to the data processing terminal to quickly learn and acquire information on different data unpacking, classification, and usage, and adjust computing power accordingly. This also facilitates the classification and recording of information from other data sources.

[0019] The data analysis terminal analyzes the feature data content, identifies the corresponding content, and matches it with the segment database to find the corresponding problem summary and processing methods. It then performs a second verification of the problem information, extracts the core problem and processing results, summarizes and organizes them, and uploads them to the user interaction terminal. The user interaction terminal summarizes and organizes the data uploaded by the data analysis terminal, transmits the relevant information to the corresponding personnel's terminals or APP content via the internet, and activates the corresponding processing warning prompt program. The user interaction terminal can also record other backend data, including diet and rest time, and transmit it to the cloud database and data analysis terminal for analysis and judgment, adding other content items to the analysis results. At the user interaction terminal, administrators can input different data identifiers into the data analysis terminal through their terminals, and can also retrieve historical problem feature data from the cloud database for review, thus facilitating adjustments to feature recognition by administrators.

[0020] A method for intelligent management of occupational health monitoring records includes the following steps: Step 1: Matching employee data, wearable sensors, and personal terminals for data retention and recording; Step 2: After classifying and storing the dataset from Step 1, the employee data can be accessed by the hospital system. Additional records are made for different symptom information, and the causes of symptoms are determined by combining this with work information from the cloud database. Treatment plans and early warning information are directly exported from the cloud database, and the administrator sends corresponding problem data to assist employees in rehabilitation and recuperation; Step 3: The treatment plan information from Step 2 is summarized and sent to the employee's terminal, and health management and tracking are performed based on the data information available at the terminal.

[0021] When in use, environmental sensors identify corresponding environmental status data in real time, while wearable sensors can identify the current location information while acquiring human vital signs information. This allows for matching and packaging of environmental sensors in the corresponding area based on the user's location, and then sending the information to the data processing terminal. After cleaning, features are extracted and labeled based on pre-input and stored characteristic data. Once the data is uploaded to the data analysis terminal, it is matched with historical data stored in the cloud database. A corresponding solution is then generated and uploaded to the user interface for final solution judgment and execution, while simultaneously issuing early warning prompts, improving the overall accuracy and speed of identification and judgment.

[0022] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent management system for occupational health monitoring records, characterized in that, The system includes a data collection terminal, a data processing terminal, a data analysis terminal, and a user interaction terminal. The data collection terminal includes environmental sensors and wearable sensors. The environmental sensors are installed inside the mine tunnel and its associated hazardous areas to identify gas, temperature, pressure, and geological data within the corresponding environment. The wearable sensors acquire the wearer's heart rate, movement trajectory, and blood pressure and blood oxygen data, and match these data with the personal information entered into the system before uploading them to the data processing terminal. The data processing terminal unpacks and categorizes the data uploaded from the data collection terminal, filters out redundant data, and then extracts data features. These data features are categorized and labeled according to their content and uploaded to the data analysis terminal. The data analysis terminal combines the database to match the information of the corresponding features, processes the data content, and summarizes and organizes the results. The user interaction terminal receives the information data obtained from the data analysis terminal and invokes the corresponding generation and processing program to send corresponding information to the corresponding individual or administrator, achieving efficient health tracking and management.

2. The intelligent management system for occupational health monitoring records according to claim 1, characterized in that, The data collection terminal accesses data classification information in the cloud database via the Internet. After preliminary classification and tracing, it matches the corresponding data processing terminal and packages and uploads the data to the data processing terminal. During the packaging and uploading process, the data is classified and marked. During the uploading process, the administrator can allocate different computing power according to the weight of the data information for rapid and centralized processing of important data information.

3. The intelligent management system for occupational health monitoring records according to claim 2, characterized in that, The data processing terminal matches the data to the corresponding processing module according to the classification during packaging. Then, it unpacks the data and puts it into the filtering and cleaning process. After cleaning up the miscellaneous data, it extracts the corresponding data features. The data feature extraction is carried out by the administrator setting the corresponding parameters and then inputting them into the model algorithm for processing. Abnormal data information or abnormal feature information is classified and identified according to the data source, and then the information is uploaded to the data analysis terminal for processing.

4. The intelligent management system for occupational health monitoring records according to claim 3, characterized in that, The data analysis terminal analyzes the feature data content, identifies the corresponding content, and then matches the corresponding problem summary and processing method with the segment database. Subsequently, the problem information is checked again, the core of the problem and the processing results are extracted, and then summarized and uploaded to the user interaction terminal.

5. The intelligent management system for occupational health monitoring records according to claim 4, characterized in that, The user interaction terminal summarizes and organizes the data uploaded by the data analysis terminal, and then transmits the relevant information to the corresponding personnel's terminal or APP content via the Internet, and initiates the corresponding processing and early warning prompt program. The user interaction terminal can also record other backend data, including diet and rest time, and transmit it to the cloud database and data analysis terminal for analysis and judgment, adding other content items to the analysis results.

6. A method for intelligent management of occupational health monitoring records according to claim 1, characterized in that, Includes the following steps: Step 1: Match employee data, wearable sensors, and personal terminals, and then store and record the data. Step 2: After classifying and storing the dataset from Step 1, personnel data can be accessed to the hospital system. Additional records are made for different symptoms. At the same time, the causes of symptoms are determined by combining the work information in the cloud database. Treatment plans and early warning information are directly exported from the cloud database, and the corresponding problem data information is sent by the administrator to assist employees in rehabilitation and recuperation. Step 3: After summarizing the processing solution information in Step 2, the corresponding data will be sent to the employees' terminals, and health management tracking will be carried out in combination with the data information that the terminals can obtain.

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