CN107016832B - Closed environment personnel vitality state detection analysis early warning system and method - Google Patents
Closed environment personnel vitality state detection analysis early warning system and method Download PDFInfo
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- CN107016832B CN107016832B CN201710243183.3A CN201710243183A CN107016832B CN 107016832 B CN107016832 B CN 107016832B CN 201710243183 A CN201710243183 A CN 201710243183A CN 107016832 B CN107016832 B CN 107016832B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Abstract
The invention relates to a closed environment personnel vitality state detection analysis early warning system and a method, the system comprises a vitality detection module (1), a vitality analysis module (2) and a display early warning module (3) which are sequentially connected, the vitality detection module (1) comprises sensors (11) which are distributed in a detected closed environment (0) and used for detecting various state indexes representing the vitality state of personnel, the vitality analysis module (2) processes the detection result of the vitality detection module (1) to obtain the vitality state condition of the personnel in the closed environment, and the display early warning module (3) displays the processing result of the vitality analysis module (2) and gives an alarm for abnormal conditions. Compared with the prior art, the invention has more comprehensive detection and more reliable result.
Description
Technical Field
The invention relates to a system and a method for detecting, analyzing and early warning the activity state of personnel, in particular to a system and a method for detecting, analyzing and early warning the activity state of personnel in a closed environment.
Background
In modern social production and work, the working pressure of people is increasing day by day, how to keep good working state in a nervous closed working environment and maintain the moderate active atmosphere of the working environment is very significant to the improvement of working efficiency and the physical and mental health of workers.
In the prior art, people in a closed environment (such as an office or a factory workshop) are focused on detecting the movement state of the people, or working environment parameters such as temperature, humidity and pollution, but the activity condition of the workers or production personnel is seldom concerned. The vitality condition of the worker or the producer reflects the production vitality and state of the worker, and is an index for evaluating whether the producer is suitable for a closed environment or whether the producer can exert the maximum vitality and creativity in the environment.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a system and a method for detecting, analyzing and early warning the activity state of personnel in a closed environment.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a closed environment personnel vigor state detection analysis early warning system, this system is including the vigor detection module, vigor analysis module and the show early warning module that connect gradually, vigor detection module including distribute the sensor that is used for detecting the multiple state index of representation personnel vigor state in being surveyed the closed environment, vigor analysis module handle according to the testing result of vigor detection module and obtain personnel vigor state condition in the closed environment, show early warning module show the processing result of vigor analysis module and report to the police to the abnormal conditions.
The vitality detection module further comprises a router and a wireless sending submodule, the sensors are all connected with the router, and the router is connected with the vitality analysis module through the wireless sending submodule.
The sensors in the vitality detection module include sensors for detecting environmental parameters, sensors for detecting activity of a person, and sensors for detecting interaction states between the person and devices in the environment.
The vitality analysis module comprises a data processing submodule and a wireless receiving submodule matched with the wireless sending submodule, and the data processing submodule is connected with the wireless receiving submodule.
The data processing submodule comprises a storage unit, an index calculation unit and a comprehensive vitality calculation unit;
the storage unit is used for storing the measurement data of each sensor and threshold condition data for judging the state grade of each state index;
the index calculation unit obtains the state grade of the state index according to the measurement data of various sensors and the threshold condition data of the corresponding state index stored in the storage unit;
and the comprehensive vitality calculating unit calculates the comprehensive vitality state grade of the vitality state of the personnel in the whole closed environment according to the state grade of each state index.
The display early warning module comprises a single-index state display unit for respectively displaying the state conditions of various state indexes, a comprehensive indication unit for indicating the state conditions of comprehensive vitality and an alarm unit for alarming when a certain state index or comprehensive vitality is in an abnormal state.
The alarm unit comprises an acousto-optic alarm and a chart display alarm.
A method for detecting, analyzing and early warning by adopting the system for detecting, analyzing and early warning the activity state of the personnel in the closed environment comprises the following steps:
(1) selecting detection points in a closed environment, and respectively arranging different sensors at the detection points for measuring different state indexes;
(2) the vitality analysis module acquires data measured by all the sensors and performs data analysis to obtain the vitality condition of the personnel in the whole closed environment;
(3) the display early warning module displays the personnel vitality state condition obtained by the vitality analysis module and gives an alarm for the abnormal condition.
The step (2) is specifically as follows:
firstly, for a certain type of state index, the vitality analysis module carries out statistics according to data measured by a sensor and compares the statistics with a set threshold parameter to obtain the state grade of the state index;
and secondly, calculating the comprehensive vitality state grade of the vitality state of the personnel in the whole closed environment by the vitality analysis module according to the state grade of each state index.
The step (3) is specifically as follows: the display early warning module respectively displays the state grade and the comprehensive vitality grade of each state index, and simultaneously triggers an alarm when the state grade or the comprehensive vitality grade of each state index is in an abnormal state.
Compared with the prior art, the invention has the following advantages:
(1) the invention is provided with the vitality detection module, detects various state indexes through the sensors of the various state indexes for representing the vitality of the personnel, thereby judging the vitality state condition of the personnel in the closed environment, giving an alarm in time, prompting abnormal conditions and further better ensuring the working state of the personnel.
(2) The sensor provided by the invention not only considers the environmental parameters, but also considers the activity condition of personnel, and simultaneously considers the interaction state between the personnel and equipment in the environment, so that the vitality condition of the personnel in the closed environment is comprehensively described from different convenience, the evaluation and measurement are carried out on the closed environment and the working health condition of the personnel, an alarm is given at a proper time, the abnormal condition of the environment and the personnel is prompted, and the working state of the personnel and the normal interaction state of the closed working environment are better ensured.
(3) The vitality analysis module provided by the invention can calculate the state grades of different state indexes, calculate the comprehensive vitality value according to the different state indexes to obtain the comprehensive vitality grade, and display the comprehensive vitality grade through the display early warning module, so that the real reason of abnormal state can be conveniently known by personnel, active adjustment is carried out, the real purpose of detecting, analyzing and early warning the vitality state of the personnel is achieved, and the vitality state of the closed environment is recovered to be normal as soon as possible.
Drawings
Fig. 1 is a block diagram of the system for detecting, analyzing and warning the activity state of the personnel in the closed environment.
In the figure, 0 is a detected closed environment, 1 is an activity detection module, 2 is an activity analysis module, 3 is a display early warning module, 11 is a sensor, 12 is a router, 13 is a wireless sending submodule, 21 is a wireless receiving submodule, and 22 is a data processing submodule.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
Example 1
As shown in fig. 1, a closed environment personnel vitality state detection analysis early warning system, this system is including the vitality detection module 1 that connects gradually, vitality analysis module 2 and show early warning module 3, vitality detection module 1 is including distributing the sensor 11 that is used for detecting the multiple state index of representation personnel vitality state in being surveyed closed environment 0, vitality analysis module 2 handles the personnel vitality state condition in obtaining closed environment according to vitality detection module 1's testing result, show early warning module 3 and show the processing result of vitality analysis module 2 and report to the police to the abnormal conditions.
The vitality detection module 1 further comprises a router 12 and a wireless transmission sub-module 13, the sensors 11 are both connected to the router 12, the sensors 11 are connected to the router 12 in a direct or indirect manner, where indirect connection means that the sensors 11 between the detection points are in communication with each other and connected to the router 12, for example, when networking is performed in a ZIGBEE manner, the sensors 11 between the detection points are in communication with each other and are in communication connection with the router 12.
The router 12 is connected with the vitality analysis module 2 through a wireless sending submodule 13. The sensors 11 in the vitality detection module 1 include sensors for detecting environmental parameters, sensors for detecting activity of a person, and sensors for detecting the state of interaction between a person and a device in the environment. The sensors 11 in the vitality detection module 1 can be roughly classified into the above three types, and 1 type, 2 types, or 3 types of them can be selected according to specific situations in practical application.
The vitality detection module 1 is used for detecting the activity status of the person in the closed environment, and the activity status of the person can be regarded as the representation of the vitality of the person in the closed environment. The module is composed of a plurality of detection points and one or more routers 12, the number of the detection points and the routers 12 depends on the space size of the closed environment and the number and complexity of information acquisition, the more information detection points, the wider the space, the more detection points are needed, the more detection points need to be managed, and the data volume passing through the routers 12 can be correspondingly increased.
The data detected by the vitality detection module 1 comprises environmental parameters including temperature, humidity and the like; the activity situation of the person may for example comprise his activity information and the sound emitted; the interaction state between the person and the equipment in the environment, such as the use state of office equipment (seats, coffee machines, air conditioning fans, computers, printers) in an office environment, sound and images, etc., or the start and operation information of processing equipment, exhaust fans, air conditioners, noise, temperature and images, etc., in a factory workshop environment. The more information these devices or apparatuses interact with the staff, the more comprehensive the action of the staff in the environment can be reflected. The detection points are distributed at different positions of the closed environment and are divided into two types according to the different activity parameter properties detected by the detection points. If the movement state of the staff in the environment is detected, the detection points are distributed in areas where the staff often stay; if it is a device, such as a printer, coffee machine, that detects the use or interaction of staff in the environment, such detection points should be distributed in the vicinity of these devices or connected to them in a wired or wireless manner.
The information may be transmitted between the detection points, or between the detection points and the router 12, by wire or wirelessly. Each detection point is an embedded device, and the components of the detection point comprise: a sensor 11 for collecting information, a microprocessor for calculation and an information transmitting device. The router 12 is also an embedded device, and functions as: (1) transmitting opening and closing information to each detection point; (2) receiving information of each detection point; (3) sending the information to the receiver of the vitality analysis module 2. The information transmission and reception between the detection points and the router 12, between the detection points, and between the router 12 and the receiver of the vitality analysis module 2 may be accomplished in a wireless manner or in a wired (standard bus) manner.
The vitality analysis module 2 comprises a data processing submodule 22 and a wireless receiving submodule 21 matched with the wireless sending submodule 13, and the data processing submodule 22 is connected with the wireless receiving submodule 21. The data processing submodule 22 comprises a storage unit, an index calculation unit and a comprehensive vitality calculation unit; the storage unit is used for storing the measurement data of each sensor 11 and threshold condition data for judging the state grade of each state index; the index calculating unit obtains the state grade of the state index according to the measurement data of various sensors 11 and the threshold condition data of the corresponding state index stored in the storage unit; and the comprehensive vitality calculating unit calculates the comprehensive vitality grade of the vitality of the personnel in the whole closed environment according to the finger-shaped state grade of each state.
The display early warning module 3 comprises a single-index state display unit for respectively displaying the state conditions of various state indexes, a comprehensive indication unit for indicating the state conditions of comprehensive vitality and an alarm unit for alarming when a certain state index or comprehensive vitality is in an abnormal state. The alarm unit comprises an acousto-optic alarm and a chart display alarm. The display early warning module 3 comprises a plurality of realization modes: for example, the state index grade or the comprehensive vitality grade and the early warning are displayed in a data visualization mode through a computer screen; or, the vitality index is displayed through the LED indicating lamp post, and the early warning is carried out by sound or lamplight.
A method for detecting, analyzing and early warning by adopting a closed environment personnel vitality state detection, analysis and early warning system comprises the following steps:
(1) selecting detection points in a closed environment, and respectively arranging different sensors 11 at the detection points for measuring different state indexes;
(2) the vitality analysis module 2 acquires data measured by all the sensors 11 and performs data analysis to obtain the vitality condition of the personnel in the whole closed environment;
(3) the display early warning module 3 displays the personnel vitality state condition obtained by the vitality analysis module 2 and gives an alarm for the abnormal condition.
The step (2) is specifically as follows:
firstly, for a certain type of state index, the vitality analysis module 2 carries out statistics according to data measured by the sensor 11 and compares the statistics with a set threshold parameter to obtain the state grade of the state index;
and the vitality analysis module 2 calculates the comprehensive vitality state grade of the vitality states of the personnel in the whole closed environment according to the state grade of each state index.
The step (3) is specifically as follows: the display early warning module 3 respectively displays the state grade and the comprehensive vitality grade of each state index, and simultaneously triggers an alarm when the state grade or the comprehensive vitality grade of each state index is in an abnormal state.
In the embodiment, for detecting the activity state of a person in a closed environment such as an office, 2 general sensors 11 are provided in the embodiment, including a sensor for detecting the activity state of the person and a sensor for detecting the interaction state between the person and equipment in the environment, and the detection of the activity state of the person includes information about the activity of the person and a sound emitted by the person; the detection of the interaction state between the personnel and the equipment in the environment comprises the seats of the office personnel and the water dispensers in the office area. This module detects information from a number of detection points: the detection of the personnel activity information and the voice can be from a motion sensor and a voice sensor which are distributed at a plurality of detection points of an office; the detection of the seat and the water dispenser is realized by acquiring the working information of the seat and the water dispenser through sensors arranged on the seat and the water dispenser, and the sensors for measuring the movement of the seat, the sensors for measuring the load information of the seat, the switch information of the water dispenser and the like are respectively adopted. Of course, in the embodiment of the scheme, the detected information of the personnel and the equipment is not limited to this, such as detecting the sitting, lying and standing postures of the body of the personnel, and the like, and detecting the service time of the water dispenser, the type and the dosage of the beverage, and the like. The information of each detection point is sent to the router 12 through the communication module, and the router 12 sends the data of the plurality of detection points to the vitality analysis module 2 in a unified manner. Note that: the data of the detection points are time series data, that is, each data recorded at each detection point is associated with the time when the data is generated, and the data records the action or action occurring at the time point.
In the embodiment, the voice of the person is detected by the analog sound sensor, the seat load of the office staff is detected by the flexible piezoelectric vibration sensor, and the service state information of the water dispenser is detected by the microswitch. Thus, each detection point includes the sensor 11, the microprocessor Arduino and the xbe wireless transmission module which complies with the Zigbee communication protocol and is compatible with Arduino, information detected by each detection point is sent to the router 12 by the Zigbee communication module, and the router 12 sends data of a plurality of detection points to the vitality analysis module 2 in a unified manner. In consideration of the technical characteristics of Zigbee networking, each xbe wireless transmission module has the functions of a terminal and a router 12, so the vitality analysis module 2 also includes an xbe wireless transmission module. The routing function and the sending and receiving functions of the collected signals are both completed by the XBee module. Therefore, the system comprises 3 state indexes including a sound state index, a seat load state index and a water dispenser use state index.
The data at each detection point is time-series data. For example, human voice recording data, expressed as a time series of voice intensity values:
230, time point 1;
128, time point 2;
169, time point 3;
...，...
245, point in time t;
similarly, the seat load state and the water dispenser switch state are digital quantities that can be represented as a time series of digital values, where T represents a load, F represents no load:
t, time point 1;
f, time point 2;
t, time point 3;
...，...
F，t。
the vitality analysis module 2 statistically processes the received detection point data, and discovers and records the occurrence rule of each category of data within a certain time interval (hour, day, week or month) by analyzing the times (the load of the seat, the opening and closing of the water dispenser) or the intensity (the sound intensity) of the actions or behaviors occurring in unit time. The activity state of the personnel in the office environment is embodied as the rule of information of each detection point or the comprehensive rule of the information. The information integration means that various information recorded at each detection point or grade evaluation information of each detection point is fused in a certain mode to obtain summary information containing data from a plurality of detection points, and the information integration reflects the activity condition of personnel in the closed environment.
Viability analysis module 2: and carrying out statistical processing on the received detection point data to find out the rule of each category of data. The module also contains a computer capable of performing calculation and analysis, wherein the computer can be a common singlechip or a conventional personal computer. In a word, after receiving the detection point information transmitted by the XBee wireless transmission module, the single chip microcomputer or the computer analyzes the detection point information.
The activity analysis module 2 obtains the average value of the sound intensity in a certain period of time according to the measured sound intensity sequence, compares the average value with a threshold value which is accessed in advance, and divides the state grade of the state index into 5 grades of very active, general, inactive and very inactive, wherein each grade corresponds to a threshold value range, so that the state grade of the sound state index is obtained through comparison. The same can be done for other state levels as well. The status levels for the status indicators may be divided as desired.
Meanwhile, the rule of the on-off state of the water dispenser or the seat within one month can be examined for the threshold value range related to the load state grade of the water dispenser or the seat, the long-term rule of the number of times of switching the water dispenser on and off of the water dispenser by a person in each hour is counted, then specific threshold values corresponding to different index grades in each time period are set according to the corresponding rule, for example, the rule of the number of times of switching the water dispenser on and off of Monday and Friday is shown in table 1, the table 1 can be used as a reference, for example, in the time period of 13: 00-14: 00, if the number of times of switching the water dispenser on and off of the person is more than 3, the average number of times of switching the person is an overactive grade, if the number of times of switching the person is 2.3-3, the average number of times of switching the person is an active grade, the average number of times of switching. The alarm conditions can be reasonably set according to actual conditions.
TABLE 1 number of times of switching on and off of the water dispenser per hour
Similarly, the average value of the sound intensity data per unit time (which may be set as a time period every ten minutes in consideration of frequent sound intensity changes) is recorded, the change rule of the rule information is recorded, and the change rule is used as normal sound rule information and is used as a basis for judging the future vitality status.
In conclusion, the detection quantity can be respectively examined, for example, the seat load, the sound intensity and the normal and abnormal conditions of the water dispenser switch are respectively examined as the basis for judging the vitality status; or comprehensively checking the load of the seat, the sound intensity and the general normal and abnormal conditions of the switch of the water dispenser as the comprehensive index of the activity state of the personnel in the office environment. Here, the comprehensive examination means that a plurality of kinds of information recorded at each detection point are fused in a certain way to obtain a summary information containing data from a plurality of detection points, and the information comprehensively reflects the vitality of the personnel in the closed environment. Here, we vote for normal and abnormal conditions in each time period (10 minutes, 30 minutes or one hour), and when the number of detected quantities determined to be normal is greater than the number of detected quantities determined to be abnormal, the time period is determined to be normal, otherwise, the time period is determined to be abnormal. Or weighting each state judgment value, and then summing to obtain the comprehensive vitality index.
The display early warning module 3: after the examination of the vitality state is finished, the vitality state can be displayed and early warned through the functional module. This module is functionally different from the previous vitality analysis module 2, but is physically comparable to the same system as a personal computer. The computer screen takes on the function of displaying and early warning; of course, the device can be separated from the vitality analysis module 2, and in this case, the module can be an embedded system with a single chip, and the system at least includes a speaker and a screen or a lamppost for displaying. For abnormal states, the module gives out sound and light alarms in time; for the conventional vitality state, the vitality state of the current office is expressed by the color of the light or the height of the light column; or further, the vitality status of the office is shown in the form of a graphic chart, thus including not only the general vitality body but also the vitality status of the individual detection points, such as: the sound intensity, the seat load and the switch of the water dispenser can also know the reasons of normal or abnormal activity state of the office through the details, so that the state is actively adjusted, and the activity state of the closed environment is recovered to be normal as soon as possible.
In the embodiment, the sound intensity, the seat load and the water dispenser switch state are time series, the sound intensity value is an analog quantity of 0-255, and the seat load and the water dispenser switch state are both switch quantities of 0 or 1. After continuously monitoring the environment for a period of time (for example, continuously measuring for one month), three types of time series are examined, and the change rules of the three types of detection quantities are found, specifically: the range of average intensity values for sounds during each hour of each weekday and the range of average intensity values for sounds during each hour of each weekday, such as the average of the sound intensities between 9:00 and 10:00 on weekdays, is 120 in this month. Similarly, it can also be found that: in the month, the average times of the seat load and the water dispenser switch in each hour of each working day and the average times of the seat load and the water dispenser switch in each hour of each rest day are within a range, for example, the average times of the seat load is 3.5 and the average times of the water dispenser switch is 2.7 in working days of 9:00 to 10: 00. The state levels of the respective state indexes can be set by the detection data.
The threshold conditions of the 4 state levels of the sound intensity state index are respectively as follows: very active: greater than 180, active: 140-180, generally: 100-140, inactive: 60-100, very inactive: less than 60;
the threshold conditions of the 4 state levels of the seat load state index are as follows: very active: greater than 5, active: 3.9-5, generally: 3.1-3.9, inactive: 1-3.1, very inactive: less than 1;
the threshold conditions of 4 state levels of the state index of the switching times of the water dispenser are respectively as follows: very active: greater than 5.0, active: 3.0-5.0, generally: 2.4-3.0, inactive: 1-2.4, very inactive: less than 1.
When the detected sound intensity is 145, the state level of the state index, which is the sound intensity at this time, is the active state.
The state index is set to have 0-degree abnormality when the state level is "normal", 1-degree abnormality when the state levels are "active" and "inactive", and 2-degree abnormality when the state levels are "very active" and "very inactive".
When the comprehensive activity grade evaluation is carried out, the comprehensive activity value abnormality degree is obtained according to the abnormality degree corresponding to the state grade of each state index: if the collected state data show that the sound intensity state index is abnormal at 2 degrees, the seat load state index is abnormal at 2 degrees, and the switch of the water dispenser is not abnormal at 0 degree, then the abnormality degree of the weighted calculation comprehensive activity value is as follows: (2+2+0)/3 ═ 1.3, indicating that 1.3 degrees of abnormality is present. If the sound index has a large influence on the vitality under the environment, the sound state level may be weighted higher, for example, 50% of the sound is weighted, and the other two state indexes are weighted by 25%, and then the following is calculated according to the level data of each state index above: 2 0.5+2 0.25+ 0.25-1.5, which indicates that the abnormality degree of the current comprehensive activity value is 1.5 degrees. Setting the comprehensive activity grade as the abnormal degree of the comprehensive activity value, so that the comprehensive activity grade of the whole environment can be obtained, and then the information chart is displayed. Meanwhile, the alarm can be set when the state grade of a certain state index is abnormal at 2 degrees, and the alarm can be set when the comprehensive activity grade exceeds 1.2.
Example 2
The embodiment detects the activity state of the person in a closed environment such as a warehouse, and is different from the embodiment 1 in that: the vitality detection module 1 at least needs to detect the contents of two parts of people and storage space: the detection of the person includes its activity information and the sound emitted; the detection of devices includes the operational status of the mobile devices in the warehouse (e.g., automated guided vehicles AGVs) and the "empty" or "full" storage status of the individual storage units in the warehouse. This module detects information from a number of detection points: the detection of the personnel activity information and the sound can be a motion sensor and a sound sensor from a plurality of detection points distributed in the warehouse; the detection of the AGVs and the storage units is performed by sensors installed in the AGVs and the storage units to obtain operation information thereof, such as movement of the AGVs, load information, information on "empty" or "full" of the storage units, and the like. Of course, in the embodiment, the detected information of the personnel and the equipment is not limited to this, such as detecting the sitting, lying and standing postures of the personnel, detecting the use efficiency of the warehouse shelf, the content information of the goods on the shelf, and the like. The information of each detection point is sent to the router 12 through the communication module, and the router 12 sends the data of the plurality of detection points to the vitality analysis module 2 in a unified manner. Note that: the data of the detection points are time series data, that is, each data recorded at each detection point is associated with the time when the data is generated, and the data records the action or action occurring at the time point.
The vitality analysis module 2 performs statistical processing on the received detection point data, and discovers and records the occurrence rule of each category of data within a certain time interval (hour, day, week or month) by analyzing the number of times (load, on and off) or intensity (sound size) of actions or behaviors occurring in unit time. Therefore, the threshold value range of the state grade of each state index is set according to the rule.
The display early warning module 3 is functionally different from the vitality analysis module 2, can be physically located in an embedded device or a computer, and has two functions integrated into one software. The regular information obtained by the vitality analysis module 2 can be displayed in the display early warning module 3, the vitality state information of the current warehouse is displayed, and the abnormal information is early warned. The display of the warehouse vitality status information may be directly displaying the information of each detection point, because the information of some detection points: for example, the moving condition of the person can directly express the vitality state of the person; and other vitality states can be indirectly obtained through the vitality analysis module 2, for example, the activity status of the person is determined through the working state of the AGV, so that the vitality status of the person can be indirectly known.
Claims (4)
1. The closed environment personnel vitality state detection, analysis and early warning system is characterized in that the closed environment applied by the system comprises an office, a warehouse and a factory workshop, the system comprises a vitality detection module (1), a vitality analysis module (2) and a display and early warning module (3) which are sequentially connected, the vitality detection module (1) comprises sensors (11) which are distributed in a detected closed environment (0) and used for detecting various state indexes representing vitality states of personnel, the vitality analysis module (2) processes the detection result of the vitality detection module (1) to obtain the vitality state condition of the personnel in the closed environment, the display and early warning module (3) displays the processing result of the vitality analysis module (2) and gives an alarm to abnormal condition, the vitality detection module (1) further comprises a router (12) and a wireless sending submodule (13), the sensors (11) are all connected with a router (12), the router (12) is connected with an vitality analysis module (2) through a wireless sending submodule (13), the vitality analysis module (2) comprises a data processing submodule (22) and a wireless receiving submodule (21) matched with the wireless sending submodule (13), the data processing submodule (22) is connected with the wireless receiving submodule (21), and the data processing submodule (22) comprises a storage unit, an index calculation unit and a comprehensive vitality calculation unit; the storage unit is used for storing the measurement data of each sensor (11) and threshold condition data for judging the state grade of each state index; the index calculation unit obtains the state grade of the state index according to the measurement data of various sensors (11) and the threshold condition data of the corresponding state index stored in the storage unit; the comprehensive vitality calculating unit calculates the comprehensive vitality state grade of the vitality state of the personnel in the whole closed environment according to the state grade of each state index, the display early warning module (3) comprises a single-index state display unit for respectively displaying the state condition of each state index, a comprehensive indicating unit for indicating the comprehensive vitality state condition and an alarm unit for giving an alarm when a certain state index or comprehensive vitality is in an abnormal state, and the alarm unit comprises an acousto-optic alarm and a chart display alarm.
2. The system for detecting, analyzing and warning the vitality status of people in a closed environment according to claim 1, wherein the sensors (11) in the vitality detection module (1) comprise sensors for detecting environmental parameters, sensors for detecting the activity condition of people, and sensors for detecting the interaction status between people and equipment in the environment.
3. A method for detecting, analyzing and warning by using the system for detecting, analyzing and warning vitality of people in a closed environment according to claim 1, wherein the method comprises the following steps:
(1) selecting detection points in a closed environment, and respectively arranging different sensors (11) at the detection points for measuring different state indexes;
(2) the vitality analysis module (2) acquires data measured by all the sensors (11) and performs data analysis to obtain the vitality condition of the personnel in the whole closed environment;
(3) the display early warning module (3) displays the personnel vitality state condition obtained by the vitality analysis module (2) and gives an alarm for the abnormal condition;
the step (2) is specifically as follows:
firstly, for a certain type of state index, the vitality analysis module (2) carries out statistics according to data measured by the sensor (11) and compares the statistics with a set threshold parameter to obtain the state grade of the state index;
and secondly, calculating to obtain the comprehensive vitality state grade of the vitality states of the personnel in the whole closed environment by the vitality analysis module (2) according to the state grade of each state index.
4. The detection, analysis and early warning method according to claim 3, wherein the step (3) is specifically as follows: the display early warning module (3) respectively displays the state grade and the comprehensive vitality grade of each state index, and simultaneously triggers an alarm when the state grade or the comprehensive vitality grade of each state index is in an abnormal state.
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