CN111466888A - Production post personnel health and safety control system based on multi-data analysis - Google Patents
Production post personnel health and safety control system based on multi-data analysis Download PDFInfo
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Abstract
The embodiment of the invention discloses a production post personnel health and safety management and control system based on multi-data analysis, which comprises an information acquisition layer, an information processing layer and an information display layer, wherein the information acquisition layer comprises a movable end and a fixed end; the mobile terminal acquires information and then adds positioning information and equipment identification information to obtain a first information packet and uploads the first information packet to an information processing layer; the fixed end acquires view information and then adds positioning information or equipment identification information to obtain a view information packet and uploads the view information packet to the information processing layer; the information processing layer matches a first information packet containing overproof information with a view information packet according to the positioning information; and the information display layer displays the view information in the view information packet. According to the invention, according to the information linkage relationship, the system directly deduces and displays the high-risk area, the burden and the working difficulty of the supervision personnel are greatly reduced, the focus of system management is changed from the attention on the environment to the attention on the people, and the people-oriented management idea is realized.
Description
Technical Field
The embodiment of the invention relates to the technical field of coal mine information technology, in particular to a production post personnel health safety control system based on multi-data analysis.
Background
In recent years, the number of coal mine accidents is continuously increased, coal mine safety is more and more emphasized, how to strengthen safe production, how to deal with the relationship between safety guarantee and yield improvement, how to improve early warning and after-the-fact search and rescue work efficiency, and under the situation of high-speed economic development and energy supply shortage, the problems are worthy of further research. Most of the transmission management modes are manual staring or monitoring, the mode is poor in supervision effect, and the mode depends on the quality and responsibility of supervision personnel, so that the management cost is high, the efficiency is low, and the error rate is high.
Moreover, the traditional supervision mode basically focuses on the change of the environment, such as monitoring of ambient temperature, toxic gas, high-risk gas and the like, and makes simple analysis, the attention of workers is little, but according to the statistics of coal mine accidents in China, more than 90% of accidents are all caused by people, and the causes of the accidents mainly comprise fire, roof fall, tired sleep, illegal entry into restricted areas, illegal operation equipment and the like, but the most serious and common causes of the accidents are fire, roof fall and tired sleep.
Disclosure of Invention
Therefore, the embodiment of the invention provides a production post personnel health and safety management and control system based on multi-data analysis, which aims to solve the problems of inaccurate detection, poor management effect and low efficiency caused by simple information management and application in the prior art.
In order to achieve the above object, an embodiment of the present invention provides the following:
the production post personnel health and safety management and control system based on multi-data analysis comprises an information acquisition layer, an information processing layer and an information display layer, wherein the information acquisition layer comprises a movable end arranged on a worker body and a fixed end distributed in a working area.
The mobile terminal is provided with a human body information acquisition module for acquiring human body information of workers and a first environment information acquisition module for acquiring surrounding environment information of the mobile terminal, positioning information and equipment identification information are added after information is acquired to obtain a first information packet, and the first information packet is uploaded to an information processing layer through a wireless transmission module.
The fixed end is provided with a camera for collecting view information in the working area, obtains a view information packet after adding positioning information or equipment identification information for the view information, and uploads the view information packet to the information processing layer through the wireless transmission module.
And the information processing layer analyzes and processes the first information packet or the view information packet, and matches the first information packet containing the overproof information with the view information packet according to the positioning information.
And the information display layer displays the view information in the view information packet.
In another embodiment of the present invention, the mobile terminal is provided with a microprocessor, a wireless communication module, a human body information acquisition module, a first environment information acquisition module and an alarm module, and the wireless communication module, the human body information acquisition module, the first environment information acquisition module and the alarm module are all electrically connected to the microprocessor.
In a further embodiment of the present invention, the fixed end is provided with a second environment information collecting module for detecting the environment around the fixed end.
In yet another embodiment of the present invention, the second environmental information collection module includes a temperature sensor, a humidity sensor, a gas sensor, a CO concentration sensor, and a CO2 concentration sensor.
In yet another embodiment of the present invention, the information processing layer includes a preprocessing server and an association detection server;
the preprocessing server is provided with a preprocessing module and is used for respectively carrying out threshold value comparison detection on the human body information and the environmental information after receiving the human body information and the environmental information, and if the human body information and the environmental information exceed the threshold values, the preprocessing server sends a first information packet containing overproof information to the correlation detection server;
the correlation detection server is internally provided with an information distribution module and a plurality of analysis modules, the information distribution module is used for distributing the abnormal information to the corresponding analysis modules according to the types of the abnormal information, and the analysis modules are internally provided with at least one correlation structure model.
In a further embodiment of the present invention, the preprocessing server is provided with a threshold revision module, and the threshold revision module is configured to form a two-dimensional table from the operating time and the similar information in the operating time range, and calculate an optimal threshold margin covering the time range in a reasonable proportion in the two-dimensional table.
In yet another embodiment of the present invention, the preprocessing server is provided with a mind detection module, the mind detection module intercepts two electrical signals, namely a skin conductance signal and a heart rate signal, in a unit time to form an intercepted waveform signal, performs wavelet transformation on the intercepted waveform signal to perform smoothing filtering processing, extracts a feature value of the waveform signal, and processes the feature value by using a two-classification emotion recognition method to obtain a continuous mind emotion change curve, wherein when the mind emotion change signal is-1, namely a negative emotion state, the calm state is a positive emotion state of 1. And evaluating the current psychological emotion of the tested person according to the ratio of the positive emotion to the negative emotion.
In a further embodiment of the present invention, the analysis module includes a fire analysis module, the fire analysis module of the fire analysis module uses the ambient temperature as the distribution condition, when the information packet received by the sub information distribution module includes abnormal temperature information, the information packet is sent to the fire analysis module, after the fire analysis module receives the information packet, the CO2 concentration or the CO concentration is compared, and if the CO2 concentration or the CO concentration exceeds the standard, the fire analysis module sends a fire alarm signal and the position information in the information packet.
In another embodiment of the present invention, the analysis module includes a stop analysis module, the correlation information detected after the stop analysis module receives the information packet is heart rate information or blood pressure information, and if the heart rate information or the blood pressure information is lower than the lower limit of the range of the revised comparison threshold, the stop analysis module sends out a sleep early warning signal and positioning information; if the heart rate information or the blood pressure information is higher than the upper limit of the range of the revision proportion threshold value, stopping the analysis module from sending out the embedded person early warning signal and the positioning information
In a further embodiment of the invention, the analysis module comprises a disease analysis module, the disease detection module of the disease detection module takes the exceeding of body temperature as an allocation condition, and the information allocation module allocates the information packet meeting the condition to the disease detection module.
The disease detection module receives the information packet and then detects whether the body temperature information is too high or too low, if the body temperature information is too high, the correlation information detected by the disease detection module is environment temperature information and blood pressure information or heart rate information, the disease detection module detects the environment temperature information firstly, if the environment temperature is lower than the temperature of a human body, the disease detection module detects the blood pressure information or the heart rate information again, and if the blood pressure information or the heart rate information rises and exceeds a revision comparison threshold value, the disease detection module sends a disease early warning signal and positioning information.
If the body temperature information is too low, the associated information detected by the illness detection module is environment temperature information, and if the environment temperature is higher than the temperature of the human body, the illness detection module directly sends out illness early warning signals and positioning information.
According to the embodiment of the invention, the following advantages are provided:
the production post personnel health and safety management and control system based on multi-data analysis comprises an information acquisition layer, an information processing layer and an information display layer, wherein the information acquisition layer acquires health information of workers and environmental information around the workers through a mobile terminal, according to the abnormality of the information and the linkage relation between the information, the system directly deduces that the current working personnel belongs to a high-risk condition and has the risk of causing an accident or has already occurred, the information display layer matches a corresponding view information packet according to the positioning information, and displays the view information in the view information packet to ensure that the monitoring personnel finally confirms or uses the visual behavior to carry out auxiliary judgment, therefore, the burden and the working difficulty of the supervision personnel are greatly reduced, the focus of system management is changed from the focus on the environment to the focus on people, and the management idea of taking people as the basis is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is expressly understood that the drawings in the following description are illustrative only and that other embodiments may be derived from the figures provided without the benefit of any inventive faculty, as will be apparent to those skilled in the art.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance.
Fig. 1 is a system configuration diagram of a production post personnel health and safety management and control system based on multiple data analysis according to an embodiment of the present invention;
FIG. 2 is an expanded block diagram of the system of FIG. 1;
fig. 3 is a schematic structural view of the mobile terminal in fig. 2.
In the figure:
1. an information acquisition layer; 2. an information processing layer; 3. an information display layer; 4. a mobile terminal; 5. a fixed end; 6. a human body information acquisition module; 7. a first environmental information acquisition module; 8. a second environmental information acquisition module; 9. a camera; 10. moving the microprocessor; 11. a first wireless communication module; 12. a positioning module; 13. an alarm module; 14. a central control display screen; 15. a regional display screen; 16. A preprocessing server; 17. a preprocessing module; 18. a threshold revision module; 19. a psychological detection module; 20. an association detection server; 21. an information distribution module; 22. a fire analysis module; 23. Stopping the analysis module; 24. an illness analysis module; 25. an image management server; 26. the image presentation server.
Detailed Description
While the present invention has been described in terms of certain specific embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, it being understood that the described embodiments are illustrative of some, but not all, of the embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the present specification, the terms "upper", "lower", "left", "right", "middle", and the like are used for clarity of description, and are not intended to limit the scope of the present invention, and changes or modifications in the relative relationship may be made without substantial changes in the technical content.
As shown in fig. 1, a production post personnel health and safety management and control system based on multi-data analysis comprises an information acquisition layer 1, an information processing layer 2 and an information display layer 3, wherein the information acquisition layer 1 comprises a movable end 4 arranged on a worker and a fixed end 5 distributed in a working area. The mobile terminal 4 is provided with a human body information acquisition module 6 for acquiring human body information of workers and a first environment information acquisition module 7 for acquiring first environment information, the mobile terminal 4 receives the information acquisition module and the first environment information acquisition module 7, then adds positioning information and equipment identification information to form a first information packet, and uploads the first information packet to the information processing layer 2 through a wireless transmission module. The fixed end 5 is provided with a camera 9 for collecting view information in a working area, a view information packet is formed after positioning information or equipment identification information is added to the view information, and the first information packet is uploaded to the information processing layer 2 through the wireless transmission module. The information processing layer 2 analyzes and processes the first information packet and the view information packet respectively, if the first information packet has overproof information, the information display layer 3 matches the corresponding view information packet according to the positioning information of the first information packet, and displays the view information in the view information packet. The above-mentioned parts are specifically described below:
an information acquisition layer
As shown in fig. 2, the information acquisition layer 1 comprises a movable end 4 arranged on the body of the worker and fixed ends 5 distributed in the working area.
1. Mobile terminal
As shown in fig. 3, the mobile terminal 4 is an intelligent electronic device that can be worn on the body of the worker or can be set on the body of the worker, such as an intelligent bracelet, an intelligent watch, an intelligent belt, a device set in a work garment, and the like. Remove the human information acquisition module 6 that is equipped with in the end 4 and include body temperature sensor, pulse sensor, rhythm of the heart sensor, skin conductance sensor, body temperature sensor is used for implementing the body temperature information of gathering the staff, and pulse sensor is used for implementing the pulse information rhythm of the heart sensor of gathering the staff and is used for implementing and gathers staff's rhythm of the heart information, and skin conductance sensor is used for gathering staff's skin conductance signal.
Remove and still be equipped with the first environmental information collection module 7 that is used for gathering the environmental information around the staff in the end 4, first environmental information collection module 7 includes temperature sensor, humidity transducer, gas sensor, CO concentration sensor, CO2 concentration sensor, wherein temperature sensor is used for gathering the temperature information of surrounding environment, humidity transducer is used for gathering the humidity information of surrounding environment, gas sensor is used for gathering the gas information of removing end 4 surrounding environment, CO concentration sensor is used for gathering the CO concentration information of removing end 4 surrounding environment, CO2 concentration sensor is used for gathering the CO2 concentration information around removing end 4.
The mobile terminal 4 is also provided with a mobile microprocessor 10 and a first wireless communication module 11, wherein the mobile microprocessor 10 receives the human body information and the environmental information around the mobile terminal and uploads the information to the information processing layer 2 through the first wireless communication module 11. In order to improve the working efficiency and reduce the computing power of the information processing layer 2, a preprocessing program for preprocessing the data information or a digital circuit for realizing a preprocessing function is embedded in the mobile microprocessor 10, the preprocessing is to respectively perform threshold comparison detection on the human body information and the environment information, and if the threshold is exceeded, the microcontroller adds an abnormal mark to the uploaded information of the worker. After receiving the information, the information processing layer 2 firstly detects whether an abnormal mark exists, and if the abnormal mark exists, the information is finely analyzed; and if the abnormal mark does not exist, directly storing the information. This makes it possible to screen out worker information in a normal state to reduce the computational effort of the information processing layer 2.
A positioning module 12, such as a GPS positioning module 12, a UWB positioning module, etc., may be disposed in the mobile terminal 4, preferably, the UWB positioning module, and the Ultra Wide Band (UWB) technology is a wireless carrier communication technology, which does not use sinusoidal carrier, but uses nanosecond-level non-sinusoidal wave narrow pulse to transmit data, so that the occupied frequency spectrum range is very Wide. The UWB technology has the advantages of low system complexity, low power spectral density of transmitted signals, insensitivity to channel fading, low interception capability, high positioning accuracy and the like, and is particularly suitable for high-speed wireless access in indoor and other dense multipath places. When the mobile terminal 4 uploads the information, the positioning information of the mobile terminal 4 and the identification information I of the mobile terminal 4 are uploaded, and the mobile terminal 4 is associated with the staff through the information, so that the information processing layer 2 can conveniently identify the source of the information, and the staff uploading the overproof information can be identified.
According to different functions of the mobile terminal 4, whether the alarm module 13 is arranged in the mobile terminal 4 can be selected. If the mobile terminal 4 is used as a monitoring device, it is not required to have a warning function; if the mobile terminal 4 is used as a management and control device, the mobile terminal 4 is required to prompt an abnormality to a worker, and an alarm module 13 is required to be arranged in the mobile terminal 4. The alarm module 13 is connected with a mobile phone vibrator and a loudspeaker, and prompts and early warning are realized through vibration and sound.
2. Fixed end
The fixed end 5 comprises cameras 9 distributed in a working area for collecting image information, the cameras 9 upload positioning information of the cameras when being provided with positioning modules or installed and store the positioning information into the information processing layer 2, and the image information uploaded by the cameras 9 is provided with identification information of the cameras 9, so that the positioning identification of the image information is realized.
The fixed end 5 is also provided with a second environment information acquisition module 8 for detecting the surrounding environment of the fixed end 5 and uploading a second information packet. The second environment information acquisition module 8 includes a temperature sensor, a humidity sensor, a gas sensor, a CO concentration sensor, and a CO2 concentration sensor, wherein the temperature sensor is used for acquiring temperature information of the surrounding environment, the humidity sensor is used for acquiring humidity information of the surrounding environment, the gas sensor is used for acquiring gas information of the surrounding environment, the CO concentration sensor is used for acquiring CO concentration information of the surrounding environment, and the CO2 concentration sensor is used for acquiring CO2 concentration information around the fixed end 5.
The fixed end 5 is provided with a fixed microcontroller and a second wireless transmission module, the fixed microcontroller receives second environment information and graphic information and uploads the second environment information and the graphic information to the information processing layer 2 through the second wireless transmission module. In order to improve the working efficiency and reduce the computing power of the information processing layer 2, a preprocessing program for preprocessing the data information or a digital circuit for realizing the preprocessing function is embedded in the microprocessor, the preprocessing is to respectively carry out threshold value comparison detection on the human body information and the environment information, and if the threshold value is exceeded, the microcontroller adds an abnormal mark to the uploaded information of the staff. After receiving the information, the information processing layer 2 firstly detects whether an abnormal mark exists, and if the abnormal mark exists, the information is finely analyzed; if the abnormal mark does not exist, the information is directly stored. Therefore, the information of the staff in the normal state can be screened out, and the calculation force of the information processing layer 2 is reduced.
Second, information processing layer
1. Preprocessing server
The information processing layer 2 is provided with a preprocessing server 16, a preprocessing module 17 is arranged in the preprocessing server 16 and used for respectively performing threshold value comparison detection on the human body information and the environmental information after receiving the human body information and the environmental information, and if the human body information and the environmental information exceed the threshold values, the preprocessing server 16 sends the human body information and the environmental information which exceed the standards to an abnormality analysis server for information correlation analysis.
The preprocessing server 16 is provided with a threshold revision module 18, the threshold revision module 18 is internally provided with standard threshold information, and the standard threshold information obtains a specific comparison standard value of the human body information and the environmental information according to national standards, industry standards and the like, namely a standard comparison threshold value for each parameter in the human body information and the environmental information, wherein the comparison threshold value is a default value in the preprocessing step. Because different people or different environments have environment differences, the threshold range is set too large or too small, and the requirement of accurate detection cannot be met. The threshold revision module 18 is configured to form a two-dimensional table by using the working time and the similar information detected in the time range, and take a threshold range including a reasonable proportion of the time range, where the reasonable proportion is 90% in this embodiment. Taking the body temperature as an example, the standard proportion threshold value is taken within a normal body temperature range, namely 36-37 degrees, and if the body temperature value detected within the working time of each day within a week range is taken, a two-dimensional relation between the time and the body temperature is formed. And when the maximum body temperature value is revised, taking the minimum body temperature value detected in the time range, setting the minimum body temperature value as a maximum value candidate value, counting the time coverage proportion corresponding to the body temperature value smaller than the maximum value candidate value, if the time coverage proportion is smaller than a reasonable proportion (90%), selecting a higher-level body temperature value adjacent to the minimum body temperature value as the maximum value candidate value for detection, and increasing the detection temperature one by one until the time coverage proportion of the maximum value candidate value is larger than or equal to the reasonable proportion, wherein the maximum value candidate value is the maximum value of the revision comparison threshold value of the body temperature. Similarly, when the minimum body temperature value is revised, the maximum body temperature value detected in the time range is taken and set as the minimum value to be selected, the time coverage proportion corresponding to the body temperature value larger than the minimum value to be selected is counted, if the time coverage proportion is smaller than the reasonable proportion (90%), the lower-level body temperature value adjacent to the maximum body temperature value is selected as the minimum value to be selected for detection, the detection temperatures are increased one by one until the time coverage proportion of the minimum value to be selected is larger than or equal to the reasonable proportion, and the minimum value to be selected is the minimum value of the revision comparison threshold value of the body temperature. The longer the detection time selected by the method is, the more accurate the threshold range is, and the smaller the error is. The threshold revision module 18 performs personalized revision on the standard comparison threshold, resulting in a revised comparison threshold that is uniquely customized for the individual or each environment.
The preprocessing server 16 is provided with a heart lining detection module 19, the heart lining detection module 19 intercepts two electric signals of a skin conductance signal and a heart rate signal in unit time to form an intercepted waveform signal, performs wavelet transformation on the intercepted waveform signal to perform smoothing filtering processing, extracts a characteristic value of the waveform signal, processes the characteristic value by using a binary emotion recognition method to obtain a continuous heart lining emotion change curve, and when the heart emotion change signal is-1, namely a negative emotion state, the calm state is a positive emotion state of 1. And evaluating the current mind mood of the tested person according to the ratio of the positive mood to the negative mood.
2. Association detection server
The information processing layer 2 is provided with a correlation detection server 20 for detecting the correlation information according to a set correlation structure model mainly based on the abnormal information, and if the correlation structure model is established, feeding back the corresponding abnormal conclusion information and sending a related control instruction according to the abnormal conclusion information.
The association detection server 20 is provided with an information distribution module 21 for distributing the abnormal information to corresponding analysis modules according to the types of the abnormal information, and each analysis module is provided with at least one association structure model. The analysis module is divided into a fire analysis module 22, a stop analysis module 23 and an illness analysis module 24.
If the information distribution module 21 receives an information packet containing gas exceeding, a gas early warning signal and positioning information are sent out.
For detection of the mobile terminal 4:
a. fire analysis module
The fire analysis model of the fire analysis module 22 uses ambient temperature as the distribution condition. When the packet received by the sub information distribution module 21 includes abnormal temperature information, it transmits the packet to the fire analysis module 22. After receiving the information packet, the fire analysis module 22 compares the CO2 concentration or the CO concentration, and if the CO2 concentration or the CO concentration exceeds the standard, it indicates that there is a fire or a fire sign (such as oxyacetylene flame cutting, electric welding, smoldering fire, etc.), and needs to pay attention, and the fire analysis module 22 will send out a fire alarm signal and position information in the information packet.
b. Stop analysis module
The movement stop model of the stop analysis module 23 takes the fact that the positioning information does not change within a predetermined time as a distribution condition, and the information distribution module 21 distributes the information packet satisfying the condition to the stop analysis module 23. The analysis stopping module 23 receives the information packet and detects that the associated information is heart rate information or blood pressure information, if the heart rate information or the blood pressure information is lower than the lower limit of the range of the revision comparison threshold, it indicates that the probability of the current staff sleeping is very high, and the analysis stopping module 23 sends a sleeping early warning signal and positioning information; if the heart rate information or the blood pressure information is higher than the upper limit of the range of the revision proportion threshold, it indicates that the probability that the current staff is frightened and cannot move (such as being buried in roof fall, injured by smashing and the like) is very high, and the analysis module 23 is stopped sending out the buried person early warning signal and the positioning information.
c. Sick detection module
The illness detection module of the illness detection module takes the exceeding of body temperature (overhigh or overlow) as a distribution condition, and the information distribution module 21 distributes the information packet meeting the condition to the illness detection module. The disease detection module receives the information packet and then detects whether the body temperature information is too high or too low, if the body temperature information is too high, the correlation information detected by the disease detection module is environment temperature information and blood pressure information or heart rate information, the disease detection module detects the environment temperature information firstly, if the environment temperature is lower than the body temperature of a person, the currently detected body temperature is accurate, the possibility of environment temperature interference is eliminated, the disease detection module detects the blood pressure information or the heart rate information again, if the blood pressure information or the heart rate information rises to exceed a revision comparison threshold value, the condition that a worker has fever at present is indicated, and the disease detection module sends a disease early warning signal and positioning information. If the body temperature information is too low, the associated information detected by the illness detection module is environment temperature information, if the environment temperature is higher than the human body temperature, the currently detected human body temperature is accurate, the possibility of environment temperature interference is eliminated, and the illness detection module directly sends out illness early warning signals and positioning information.
For the detection of the fixed end 5:
a. fire analysis module
The fire analysis model of the fire analysis module 22 uses ambient temperature as the distribution condition. When the packet received by the sub information distribution module 21 includes abnormal temperature information, it transmits the packet to the fire analysis module 22. After receiving the information packet, the fire analysis module 22 compares the CO2 concentration or the CO concentration, and if the CO2 concentration or the CO concentration exceeds the standard, it indicates that there is a fire or a fire sign (such as oxyacetylene flame cutting, electric welding, smoldering fire, etc.), and needs to pay attention, and the fire analysis module 22 will send out a fire alarm signal and position information in the information packet.
Third, information display layer
The information display layer 3 is provided with an image management server 25 and an image display server 26.
The image management server 25 is configured to retrieve a coordinate set of the camera 9 according to the position information of the gas early warning signal, the fire warning signal, the sleep early warning signal, the people burying early warning signal, and the illness early warning signal, select the camera 9 corresponding to the coordinate set including the position information, and retrieve the view information acquired by the camera 9.
The image display server 26 is used for distributing view information to the central control display screen 14 of the central control room, so that central control personnel can judge the accident situation in a targeted manner; and after receiving an accident confirmation signal issued by the central control personnel, sending alarm information, related view information or environment parameter information to an area display screen 15 of a working area for view display early warning.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. The utility model provides a production post personnel health safety management and control system based on multidata analysis which characterized in that: the system comprises an information acquisition layer, an information processing layer and an information display layer, wherein the information acquisition layer comprises a movable end arranged on the body of a worker and fixed ends distributed in a working area;
the mobile terminal is provided with a human body information acquisition module for acquiring human body information of workers and a first environment information acquisition module for acquiring surrounding environment information of the mobile terminal, positioning information and equipment identification information are added after the information is acquired to obtain a first information packet, and the first information packet is uploaded to the information processing layer through the wireless transmission module;
the fixed end is provided with a camera for collecting view information in the working area, obtains a view information packet after adding positioning information or equipment identification information to the view information, and uploads the view information packet to the information processing layer through the wireless transmission module;
the information processing layer analyzes and processes the first information packet or the view information packet, and matches the first information packet containing the overproof information with the view information packet according to the positioning information;
and the information display layer displays the view information in the view information packet.
2. The multiple data analysis-based production station personnel health and safety management and control system according to claim 1, wherein: the mobile terminal is provided with a mobile microprocessor, a first wireless communication module, a human body information acquisition module, a first environment information acquisition module and an alarm module, and the wireless communication module, the human body information acquisition module, the first environment information acquisition module and the alarm module are all electrically connected with the microprocessor.
3. The multiple data analysis-based production station personnel health and safety management and control system according to claim 1, wherein: the stiff end is equipped with the second environmental information collection module that is used for detecting stiff end surrounding environment.
4. The multiple data analysis-based production station personnel health and safety management and control system according to claim 3, wherein: the second environment information acquisition module comprises a temperature sensor, a humidity sensor, a gas sensor, a CO concentration sensor and a CO2 concentration sensor.
5. The multiple data analysis-based production station personnel health and safety management and control system according to claim 1, wherein: the information processing layer comprises a preprocessing server and an association detection server;
the preprocessing server is provided with a preprocessing module and is used for respectively carrying out threshold value comparison detection on the human body information and the environmental information after receiving the human body information and the environmental information, and if the human body information and the environmental information exceed the threshold values, the preprocessing server sends a first information packet containing overproof information to the correlation detection server;
the correlation detection server is internally provided with an information distribution module and a plurality of analysis modules, the information distribution module is used for distributing the abnormal information to the corresponding analysis modules according to the types of the abnormal information, and at least one correlation structure model is arranged in each analysis module.
6. The multiple data analysis-based production station personnel health and safety management and control system according to claim 5, wherein: the preprocessing server is provided with a threshold revision module, and the threshold revision module is used for forming a two-dimensional table by using the same information in the working time and the working time range and calculating the optimal threshold margin of the time range covered by a reasonable proportion in the two-dimensional table.
7. The multiple data analysis-based production station personnel health and safety management and control system according to claim 5, wherein: the preprocessing server is provided with a mind detection module, the mind detection module intercepts two electric signals of a skin conductance signal and a heart rate signal in unit time to form an intercepted waveform signal, wavelet transformation is carried out on the intercepted waveform signal to carry out smoothing filtering processing, a characteristic value of the waveform signal is extracted, the characteristic value is processed by a two-classification emotion recognition method to obtain a continuous mind emotion change curve, when the mind emotion change signal is-1, namely a negative emotion state, the calm state is a positive emotion state, and the smooth emotion change curve is-1. And evaluating the current mind mood of the tested person according to the ratio of the positive mood to the negative mood.
8. The multiple data analysis-based production station personnel health and safety management and control system according to claim 5, wherein: the analysis module comprises a fire analysis module, the fire analysis module of the fire analysis module takes the environmental temperature as a distribution condition, when the information packet received by the sub information distribution module contains abnormal temperature information, the information packet is sent to the fire analysis module, the fire analysis module compares the concentration of CO2 or the concentration of CO after receiving the information packet, and if the concentration of CO2 or the concentration of CO exceeds the standard, the fire analysis module sends a fire alarm signal and position information in the information packet.
9. The multiple data analysis-based production station personnel health and safety management and control system according to claim 5, wherein: the analysis module comprises a stop analysis module, the correlation information detected after the stop analysis module receives the information packet is heart rate information or blood pressure information, and if the heart rate information or the blood pressure information is lower than the lower limit of the range of the revision comparison threshold, the stop analysis module sends out a sleep early warning signal and positioning information; and if the heart rate information or the blood pressure information is higher than the upper limit of the range of the revision proportion threshold, stopping the analysis module from sending out the embedded person early warning signal and the positioning information.
10. The multiple data analysis-based production station personnel health and safety management and control system according to claim 5, wherein: the analysis module comprises a disease analysis module, a disease detection module of the disease detection module takes the exceeding of body temperature as a distribution condition, and the information distribution module distributes the information packets meeting the condition to the disease detection module;
the disease detection module receives the information packet and then detects whether the body temperature information is too high or too low, if the body temperature information is too high, the correlation information detected by the disease detection module is environment temperature information and blood pressure information or heart rate information, the disease detection module detects the environment temperature information firstly, if the environment temperature is lower than the temperature of a human body, the disease detection module detects the blood pressure information or the heart rate information again, and if the blood pressure information or the heart rate information rises and exceeds a revision comparison threshold value, the disease detection module sends a disease early warning signal and positioning information;
if the body temperature information is too low, the associated information detected by the illness detection module is environment temperature information, and if the environment temperature is higher than the temperature of the human body, the illness detection module directly sends out illness early warning signals and positioning information.
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