Occupational environment and occupational health monitoring informatization platform system

Abstract

The invention discloses an occupational environment and occupational health monitoring informatization platform system, and relates to the technical field of occupational disease prevention and management. The system comprises a data layer, a sensing layer and an application layer. According to the invention, the sensing module comprehensively identifies and monitors the working environment and the physical conditions of workers, realizes the identification and monitoring of all occupational hazards in the working environment, provides a data basis for the prevention and treatment of occupational diseases and the monitoring and control of occupational health hazard factors, and achieves the monitoring and control of occupational health hazard factors through the cooperation of the data layer, the sensing layer and the application layer. Comprehensive and long-term control and precaution early warning of occupational hazard factors are realized, enterprises and workers are helped to find and control the occupational hazard factors in the working environment in real time, occupational health hazards are prevented, meanwhile, the enterprises can comprehensively and systematically manage and monitor occupational health risks, occupational diseases and safety accidents are effectively prevented and reduced, and the working efficiency is improved. The physical and psychological health of workers is guaranteed, and the overall competitiveness of enterprises is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of occupational disease prevention and management, and in particular to an occupational environment and occupational health monitoring information platform system. Background Art

[0002] Occupational health is an important part of occupational disease prevention and control. The accuracy of its inspection results and the evaluation and analysis of the results are related to the vital interests of employers and workers.

[0003] The main purpose of occupational health examination is to understand the health status of workers exposed to occupational hazards, dynamically observe the impact of occupational hazards on workers' health, and early detect occupational diseases and occupational contraindications. Rigorous and standardized evaluation and expression of occupational health examination results is conducive to statistical analysis of examination results, and is also conducive to the supervision and law enforcement activities of occupational health supervision departments, while avoiding legal loopholes left by medical examination institutions.

[0004] Occupational environment monitoring is a planned and systematic test of the operator's working environment to analyze the nature of toxic and harmful factors in the working environment. However, the occupational health monitoring system in the existing technology still has some defects:

[0005] 1. When the occupational health monitoring system in the prior art collects data in the working environment, the collected data is single and incomplete, thus failing to form the data basis required for effective occupational disease prevention and control and occupational health hazard monitoring;

[0006] 2. At the same time, most of the occupational health monitoring systems in the existing technology are not convenient for long-term effective prevention and early warning of occupational hazards, thus failing to help enterprises and workers discover occupational hazards in the working environment in real time, and thus failing to reduce the probability of safety accidents;

[0007] In view of the above problems, the inventor proposes an occupational environment and occupational health monitoring information platform system to solve the above problems. Summary of the invention

[0008] In order to solve the above problems, the purpose of the present invention is to provide an occupational environment and occupational health monitoring information platform system.

[0009] In order to solve the above technical problems, the present invention adopts the following technical solutions: an occupational environment and occupational health monitoring information platform system, the platform system includes a data layer, a perception layer and an application layer;

[0010] The data layer identifies and monitors the working environment and working intensity, converts them into monitoring data, and constructs a risk warning algorithm model;

[0011] The perception layer receives data from the data layer and stores it in the protocol packet and the received packet cache, extracts the protocol packet from the received packet cache, further determines the target address packet, deletes the reply packet, sends the response packet, and processes the packet;

[0012] The application layer sends control information to the perception layer. After receiving the information packet, the application layer analyzes the data information to obtain a warning value. If the value exceeds the standard, a real-time warning is issued.

[0013] Preferably, the working environment includes air, noise, light, temperature and humidity, and the working intensity includes labor intensity and the physiological state of the workers.

[0014] Preferably, the data layer stores the monitoring data in a database, and the risk warning algorithm model organizes and classifies the monitoring data in the database, extracts data features, obtains characteristic values ​​related to environmental conditions, reclassifies them, obtains mining characteristic values, and then extracts state quantities, combined with occupational disease hazard factor prevention and control standards, to obtain evaluation results and recommendations.

[0015] Preferably, the data layer adopts a distributed collaborative processing mechanism during data processing to transmit data to the system platform.

[0016] Preferably, the data layer includes a data acquisition module, a data transmission module and a data analysis module.

[0017] Preferably, the perception layer includes a sensing module, an RFID identification module, a positioning module and an image acquisition module.

[0018] Preferably, the application layer includes an early warning module, and the early warning module is composed of an intelligent early warning unit, a limit value early warning unit and a trend gradient early warning unit.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1. In the present invention, the perception module composed of the sensor module, the RFID identification module, the positioning module and the image acquisition module comprehensively identifies and monitors the working environment and the physical condition of the workers, realizes the identification and monitoring of all occupational hazards in the working environment, and provides data basis for the prevention and treatment of occupational diseases and the monitoring and control of occupational health hazards;

[0021] 2. In the present invention, through the coordinated cooperation of the data layer, the perception layer and the application layer, comprehensive and long-term control and prevention and early warning of occupational hazard factors are achieved, helping enterprises and workers to discover and control occupational hazard factors in the working environment in real time and prevent the occurrence of occupational health hazards. At the same time, enterprises can comprehensively and systematically manage and monitor occupational health risks, effectively prevent and reduce the occurrence of occupational diseases and safety accidents, protect the physical and mental health of workers, and enhance the overall competitiveness of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 The present invention is a schematic diagram of the composition of an occupational environment and occupational health monitoring information platform system.

[0024] In the figure: 100, data acquisition module; 200, data transmission module; 300, data analysis module; 400, sensor module; 500, RFID identification module; 600, positioning module; 700, image acquisition module; 800, early warning module; 810, intelligent early warning unit; 820, limit value early warning unit; 830, trend gradient early warning unit. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Example: Figure 1 As shown, the present invention provides an occupational environment and occupational health monitoring information platform system, the platform system includes a data layer, a perception layer and an application layer;

[0027] The data layer identifies and monitors the working environment and working intensity. The working environment includes air, noise, light, temperature and humidity. The working intensity includes labor working intensity and the physiological state of the workers. The data is converted into monitoring data and a risk warning algorithm model is constructed. The data layer stores the monitoring data in the database. The risk warning algorithm model organizes and classifies the monitoring data in the database, extracts data features, obtains feature values ​​related to the environmental conditions, reclassifies, obtains mining feature values, and then extracts state quantities. In combination with the prevention and control standards for occupational disease hazard factors, the evaluation results and suggestions are obtained. In the process of data processing, the data layer adopts a distributed collaborative processing mechanism to transmit data to the system platform. The data layer adopts the Ethernet communication protocol to ensure the transmission efficiency of data information. In the process of data collection, the data layer reads digital signals from each sensor terminal device, and then stores them in a first-in-first-out queue for caching. Then, data extraction is performed during data transmission. The collected data includes temperature, humidity, oxygen content, noise level, carbon dioxide content, and serial data and bus data of the sensor terminal device.

[0028] The perception layer receives data from the data layer and stores it in the protocol packet and the received packet cache, extracts the protocol packet from the received packet cache, further determines the target address packet, deletes the reply packet, sends the response packet, and processes the packet;

[0029] The application layer sends control information to the perception layer. After receiving the information packet, the application layer analyzes the data information and obtains the warning value. If the value exceeds the standard, a real-time warning is issued.

[0030] The data layer includes a data acquisition module 100 , a data transmission module 200 and a data analysis module 300 .

[0031] The perception layer includes a sensing module 400 , an RFID identification module 500 , a positioning module 600 and an image acquisition module 700 .

[0032] The application layer includes an early warning module 800 , which is composed of an intelligent early warning unit 810 , a limit value early warning unit 820 and a trend gradient early warning unit 830 .

[0033] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An occupational environment and occupational health monitoring information platform system, characterized in that: The platform system includes a data layer, a perception layer and an application layer; The data layer identifies and monitors the working environment and working intensity, converts them into monitoring data, and constructs a risk warning algorithm model; The perception layer receives data from the data layer and stores it in the protocol packet and the received packet cache, extracts the protocol packet from the received packet cache, further determines the target address packet, deletes the reply packet, sends the response packet, and processes the packet; The application layer sends control information to the perception layer. After receiving the information packet, the application layer analyzes the data information to obtain a warning value. If the value exceeds the standard, a real-time warning is issued.

2. An occupational environment and occupational health monitoring information platform system as claimed in claim 1, characterized in that: The working environment includes air, noise, light, temperature and humidity, and the working intensity includes labor intensity and the physiological state of the workers.

3. The occupational environment and occupational health monitoring information platform system according to claim 1, characterized in that: The data layer stores the monitoring data in a database, and the risk warning algorithm model organizes and classifies the monitoring data in the database, extracts data features, obtains feature values ​​related to environmental conditions, reclassifies them, obtains mining feature values, and then extracts state quantities, combined with occupational disease hazard factor prevention and control standards, to obtain evaluation results and suggestions.

4. The occupational environment and occupational health monitoring information platform system according to claim 1, characterized in that: During the process of data processing, the data layer adopts a distributed collaborative processing mechanism to transmit the data to the system platform.

5. The occupational environment and occupational health monitoring information platform system according to claim 1, characterized in that: The data layer comprises a data acquisition module (100), a data transmission module (200) and a data analysis module (300).

6. The occupational environment and occupational health monitoring information platform system according to claim 1, characterized in that: The perception layer comprises a sensing module (400), an RFID identification module (500), a positioning module (600) and an image acquisition module (700).

7. The occupational environment and occupational health monitoring information platform system according to claim 1, characterized in that: The application layer comprises an early warning module (800), and the early warning module (800) is composed of an intelligent early warning unit (810), a limit value early warning unit (820) and a trend gradient early warning unit (830).

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