CN109671473A - The method for building up of human body physiological safety monitor database under extreme thermal environment - Google Patents
The method for building up of human body physiological safety monitor database under extreme thermal environment Download PDFInfo
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- CN109671473A CN109671473A CN201811386223.0A CN201811386223A CN109671473A CN 109671473 A CN109671473 A CN 109671473A CN 201811386223 A CN201811386223 A CN 201811386223A CN 109671473 A CN109671473 A CN 109671473A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000035807 sensation Effects 0.000 claims abstract description 10
- 238000012544 monitoring process Methods 0.000 claims abstract description 6
- 238000004519 manufacturing process Methods 0.000 claims abstract description 5
- 230000035479 physiological effects, processes and functions Effects 0.000 claims abstract description 5
- 238000013523 data management Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000011156 evaluation Methods 0.000 claims description 18
- 235000019633 pungent taste Nutrition 0.000 claims description 9
- 235000019615 sensations Nutrition 0.000 claims description 9
- 238000010831 paired-sample T-test Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 230000036772 blood pressure Effects 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims 1
- 230000037086 body physiology Effects 0.000 abstract 1
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- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
- A61B5/4261—Evaluating exocrine secretion production
- A61B5/4266—Evaluating exocrine secretion production sweat secretion
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention discloses the method for building up of human body physiological safety monitor database under extreme thermal environment, including three data inputting, data processing and data management key steps.Environment and working time save group are combined into six kinds of labour operating conditions, further refine the applicable elements of human body physiological safety monitoring the data obtained under extreme thermal environment.Human Physiology safety monitoring data include physiological data and subjective sensation data, and the purpose is to comprehensively consider human body physiology in extreme circumstances and psychoreaction.Database answers complete documentation subject monitoring parameters with the changing value in working time, finally judges safe working time of the human body under local environment and labour operating condition.The foundation of the database is it is intended that the operating personnel of different labor operating condition provides more acurrate reliable safe working time suggestion, the generation of reduction production safety danger under extreme thermal environment.Basic data is provided to other researchs of thermal response after also facilitating simultaneously.
Description
Technical field
It is the present invention relates to Data Matching technical field, in particular to a kind of based on using human body being largely sample in extreme heat
The database building method of experimental study under environment.
Background technique
The operating personnel of work is engaged under place under extreme thermal environment, gender, age, figure, physical fitness have
Either large or small difference.Different Individual is to the physiological change state under the subjective physiology impression of extreme thermal and humidity environment and labor operation
There is different degrees of difference.The existing safe labor laws and regulations of high-temperature operation have done unified regulation just for operation labour duration,
Using in WBGT index assessment high-temperature operation classification process, opinion rating is higher, thermotropic disease caused by high-temperature operation and danger
Danger still frequently occurs.
Summary of the invention
The purpose of the present invention is to overcome the disadvantages of the prior art, provides human body physiological safety under a kind of extreme thermal environment and supervises
The method for building up in measured data library can be convenient the supervision and prompting being applied to when labor operation personnel are reached with precarious position, drop
The generation of low production safety danger.
The method for building up of human body physiological safety monitor database under extreme thermal environment, comprising the following steps:
Step 1: establishing database and logging data, specific steps in a computer are as follows:
(1) working time save is divided, database is then established；
The division methods of working time save are as follows: by hot and humid environment, high temperature dry and wet environment respectively with basic, normal, high three kinds of labor
Fatigue resistance is combined to form six kinds of labour load cases combinations；
Wherein hot environment refers to production environment temperature in 32 DEG C or more or living environment temperature at 35 DEG C or more
Environment；
High humidity environment refers to environment of the relative air humidity 60% or more；
Dry and wet environment refers to relative air humidity in 40% environment below；
The division of basic, normal, high three kinds of labor intensity is according to the labor intensity grade scale of ACGIH；
(2) by the basic physiological parameter input database of multiple subjects, the basic physiological parameter includes age, property
Not, height and weight；
(3) working time save belonging to subject is determined according to labour load cases combination type in step 1, then to subject
Physiological data and subjective sensation data are monitored with the changing value in working time and input database, if under subject meets
A length of final safe labour duration and input database when labour when column one of two things:
The first situation: the labour duration when subject's any one physiological data reaches the dangerous values upper limit；
Second situation: labour duration when subjects subjective's judgement is thought to need to stop labour；
The subjective sensation data of the subject include hotness evaluation and comfort evaluation, and hotness evaluation uses
ASHRAE 0-7 point grading scale is given a mark, and comfort evaluation is given a mark using PMV grading scale；
Step 2: data processing, specific steps are as follows:
(1) each physiology monitoring number when multiple setting sampling instants to different subjects under identical labour operating condition type
Arithmetic average is sought respectively according to the evaluation of, hotness and comfort evaluation, each sample data that then will change with working time
Arithmetic average be stored in database respectively；
(2) poor to there is conspicuousness according to otherness between individual under the identical labour load cases combination of paired sample T test method statistics
Different person is marked, and then searches the basic physiological parameter information of significant difference person in the database；
Step 3: data management；
(1) second step in step 1 is repeated by the basic physiological parameter input database of new subject；
(2) according to paired sample T test method by the basic physiological parameter of new subject and database sample it is substantially raw
Reason parameter is compared, if there is with the basic physiological parameter of new subject substantially similar parameter in database, with data
Reference model of the most similar sample as person under test in library, i.e., similar sample is raw under the labour operating condition in reference database
Reason, subjective sensation parameter predict its final safe labour duration with the changing value in working time；
If nothing basic physiological parameter the most approximate in database, with each sample under labour operating condition in reading database
Then the average value of data reaches the dangerous values upper limit or mean subjective judgement with database sample mean physiological parameter
It is required that stopping prediction of the labour duration as the safe working time to new subject under local environment operating condition when labour；Together
When the third step and step 2 that are repeated in step 1 in the first step measurement data of new subject is separately added into phase
Database is stored in after seeking arithmetic average in each sample data answered.
Compared with prior art, the beneficial effects of the present invention are:
This method considers the thermal response performance of the personnel of different building shape physical fitness under various circumstances, proposes needle
To the safe prediction of different human body, with more scientific and validity.In addition, this method also facilitates the addition of new samples to reality
It tests the continuous amendment of data and updates.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for building up of human body physiological safety monitor database under extreme thermal environment of the present invention.
Specific embodiment
In order to be more clear technical solution of the present invention, present invention will be described in further detail below with reference to the accompanying drawings.
It should be appreciated that specific example described herein is only to explain the present invention, but it is not limited to this example.
The method for building up of human body physiological safety monitor database under extreme thermal environment of the invention as shown in Figure 1, including
Following steps:
Step 1: establishing database and logging data, specific steps in a computer are as follows:
(1) working time save is divided, database is then established；
The division methods of working time save are as follows: by hot and humid environment, high temperature dry and wet environment respectively with basic, normal, high three kinds of labor
Fatigue resistance is combined to form six kinds of labour load cases combinations；
Wherein hot environment refers to production environment temperature in 32 DEG C or more or living environment temperature at 35 DEG C or more
Environment；
High humidity environment refers to environment of the relative air humidity 60% or more.
Dry and wet environment refers to relative air humidity in 60% environment below.
The division of basic, normal, high three kinds of labor intensity can be according to the labor intensity grade scale of ACGIH；
(2) by the basic physiological parameter input database of multiple subjects, the basic physiological parameter includes age, property
Not, height and weight；
(3) working time save belonging to subject is determined according to labour load cases combination type in step 1, then to subject
Physiological data and subjective sensation data are monitored with the changing value in working time and input database, if under subject meets
A length of final safe labour duration and input database when labour when column one of two things:
The first situation: when to reach the dangerous values upper limit (under Wei Huijiao hot environment hot for subject's any one physiological data
Acclimatization is trained and experimental study [D] the University Of Tianjin of working efficiency, 2010.) labour duration when；
Second situation: labour duration when subjects subjective's judgement is thought to need to stop labour；
The physiological data of the subject includes rectal temperature, heart rate, rate of perspiration, blood pressure fatigue reaction and skin temperature
Deng.The subjective sensation data of the subject include hotness evaluation and comfort evaluation, and hotness evaluation uses ASHRAE
0-7 points of grading scale is given a mark, and comfort evaluation is given a mark using PMV grading scale.
Step 2: data processing, specific steps are as follows:
(1) each physiology monitoring number when multiple setting sampling instants to different subjects under identical labour operating condition type
Arithmetic average is sought respectively according to the evaluation of, hotness and comfort evaluation, each sample data that then will change with working time
Arithmetic average be stored in database respectively.
Average value: Ri=(Ri such as is calculated to rectal temperature1+Ri2+…+RiN)/N
Wherein Ri is the average rectal temperature at the i-th moment, i=0,5,10 ... moment；RiNFor N each i-th moment of subject
Rectal temperature, N=1,2 ....
(2) poor to there is conspicuousness according to otherness between individual under the identical labour load cases combination of paired sample T test method statistics
Different person is marked, and then searches the basic physiological parameter information of significant difference person in the database.
Step 3: data management；
(1) second step in step 1 is repeated by the basic physiological parameter input database of new subject；
(2) according to paired sample T test method by the basic physiological parameter of new subject and database sample it is substantially raw
Reason parameter is compared, if there is with the basic physiological parameter of new subject substantially similar parameter in database, with data
Reference model of the most similar sample as person under test in library, i.e., similar sample is raw under the labour operating condition in reference database
Reason, subjective sensation parameter predict its final safe labour duration with the changing value in working time.
If nothing basic physiological parameter the most approximate in database, with each sample under labour operating condition in reading database
Then the average value of data reaches the dangerous values upper limit or mean subjective judgement with database sample mean physiological parameter
It is required that stopping prediction of the labour duration as the safe working time to new subject under local environment operating condition when labour.Together
When the third step and step 2 that are repeated in step 1 in the first step measurement data of new subject is separately added into phase
It is stored in database after seeking arithmetic average in each sample data answered, it is final to constantly update, expand database volume.
Claims (2)
1. the method for building up of human body physiological safety monitor database under extreme thermal environment, it is characterised in that the following steps are included:
Step 1: establishing database and logging data, specific steps in a computer are as follows:
(1) working time save is divided, database is then established；
The division methods of working time save are as follows: hot and humid environment, high temperature dry and wet environment is strong with basic, normal, high three kinds labour respectively
Degree is combined to form six kinds of labour load cases combinations；
Wherein hot environment refers to environment of the production environment temperature in 32 DEG C or more or living environment temperature at 35 DEG C or more；
High humidity environment refers to environment of the relative air humidity 60% or more；
Dry and wet environment refers to relative air humidity in 40% environment below；
The division of basic, normal, high three kinds of labor intensity is according to the labor intensity grade scale of ACGIH；
(2) by the basic physiological parameter input database of multiple subjects, the basic physiological parameter include the age, gender,
Height and weight；
(3) working time save belonging to subject is determined according to labour load cases combination type in step 1, then to subject physiologic
Data and subjective sensation data are monitored with the changing value in working time and input database, if subject meets following two
A length of final safe labour duration and input database when the labour for the moment of kind situation:
The first situation: the labour duration when subject's any one physiological data reaches the dangerous values upper limit；
Second situation: labour duration when subjects subjective's judgement is thought to need to stop labour；
The subjective sensation data of the subject include hotness evaluation and comfort evaluation, and hotness evaluation uses
ASHRAE0-7 points of grading scale is given a mark, and comfort evaluation is given a mark using PMV grading scale；
Step 2: data processing, specific steps are as follows:
(1) each physiologic monitoring data when multiple setting sampling instants to different subjects under identical labour operating condition type,
Hotness evaluation and comfort evaluation seek arithmetic average respectively, then by the calculation of each sample data changed with working time
Number average value is stored in database respectively；
(2) otherness between individual is counted under identical labour load cases combination according to paired sample T test method, to there is significant difference person
It is marked, then searches the basic physiological parameter information of significant difference person in the database；
Step 3: data management；
(1) second step in step 1 is repeated by the basic physiological parameter input database of new subject；
(2) basic physiological of sample in the basic physiological parameter of new subject and database is joined according to paired sample T test method
Number is compared, if there is with the basic physiological parameter of new subject substantially similar parameter in database, in database
Reference model of the most similar sample as person under test, i.e., in reference database similar sample under the labour operating condition physiology,
Subjective sensation parameter predicts its final safe labour duration with the changing value in working time.
If nothing basic physiological parameter the most approximate in database, with each sample data under labour operating condition in reading database
Average value, the dangerous values upper limit or mean subjective determination requirement are then reached with database sample mean physiological parameter
Stop prediction of labour duration when labour as the safe working time to new subject under local environment operating condition；While according to
The measurement data of new subject is separately added into accordingly by the first step in the secondary third step and step 2 repeated in step 1
Database is stored in after seeking arithmetic average in each sample data.
2. according to claim 1 under extreme thermal environment human body physiological safety monitor database method for building up, it is characterised in that: institute
The physiological data of the subject stated includes rectal temperature, heart rate, rate of perspiration, blood pressure fatigue reaction and skin temperature.
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| CN107049274A (en) * | 2017-02-28 | 2017-08-18 | 中国人民解放军军事医学科学院卫生学环境医学研究所 | Thermal environment self-employed labour safety monitoring assembly and evaluation method based on physiological parameter |
-
2018
- 2018-11-20 CN CN201811386223.0A patent/CN109671473A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040236188A1 (en) * | 2003-05-19 | 2004-11-25 | Ge Medical Systems Information | Method and apparatus for monitoring using a mathematical model |
| CN103778312A (en) * | 2012-10-24 | 2014-05-07 | 中兴通讯股份有限公司 | Remote home health care system |
| CN107019499A (en) * | 2016-01-29 | 2017-08-08 | 佛山市顺德区顺达电脑厂有限公司 | Contactless health evaluating and suggesting system for wearing and its method |
| CN106021960A (en) * | 2016-06-16 | 2016-10-12 | 山东诺安诺泰信息***有限公司 | Health management method |
| CN107049274A (en) * | 2017-02-28 | 2017-08-18 | 中国人民解放军军事医学科学院卫生学环境医学研究所 | Thermal environment self-employed labour safety monitoring assembly and evaluation method based on physiological parameter |
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