CN113593185B - Non-contact office worker fatigue detection system and method - Google Patents

Non-contact office worker fatigue detection system and method Download PDF

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Publication number
CN113593185B
CN113593185B CN202110874202.9A CN202110874202A CN113593185B CN 113593185 B CN113593185 B CN 113593185B CN 202110874202 A CN202110874202 A CN 202110874202A CN 113593185 B CN113593185 B CN 113593185B
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wireless signal
module
signal
wireless
alarm
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CN113593185A (en
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康霄
郭逸
杨根科
褚健
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Ningbo Institute Of Artificial Intelligence Shanghai Jiaotong University
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Ningbo Institute Of Artificial Intelligence Shanghai Jiaotong University
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/06Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link

Abstract

The invention discloses a non-contact office worker fatigue detection system, which relates to the technical field of human body fatigue detection and comprises a wireless signal transmitting module, a wireless signal receiving module, an edge calculating module and an alarm module; the wireless signal transmitting module is independently arranged, the wireless signal receiving module is connected with the edge calculating module through a cable, and the edge calculating module is connected with the alarm module through a cable. The invention also discloses a non-contact office worker fatigue detection method, which comprises the step S100 of preparing work; step S200, transmitting a wireless signal; step S300, receiving a wireless signal; step S400, processing wireless signals; and step S500, alarming. The invention solves the problems caused by a fatigue detection mode based on contact measurement, reduces the cost and avoids unnecessary burden and inconvenience.

Description

Non-contact office worker fatigue detection system and method
Technical Field
The invention relates to the technical field of human body fatigue detection, in particular to a non-contact office worker fatigue detection system and method.
Background
The indoor office staff are easy to fatigue because the indoor office staff keep the same sitting posture for a long time for processing work, and in some special working scenes, such as a power dispatching center, a chemical plant control console, pipeline operators and an airport aviation control tower, the indoor office staff undertake important duties and can cause great influence by carelessness, so that huge loss can be brought by working errors in a fatigue state. For example, in a power system, an important work of a power dispatching communication center on the safe operation of a power grid is a neural center of the power grid operation, and is also a key factor influencing the smooth operation of the power grid and the efficient optimal configuration of resources. Although the automation level and reliability of the power system have been greatly improved with the progress of technology, people still play an indispensable important role in the power system, and important tasks such as handling daily accidents and issuing scheduling operation commands still depend on manual work of a dispatcher. Once the dispatcher fails to work due to fatigue, the wrong dispatching instruction is reached, and the result is not obvious.
Fatigue is a big cause of safety accidents, and can be caused by factors such as people in a working state for a long time, when people operate boring operations, and the former day is not good in sleep. Fatigue can lead to a person's slowing down of response, reduced attention, slowed movement, etc. The long-time high-intensity work easily causes the fatigue of the human body, and influences the spirit and the physical state of the human body. Fatigue also makes it difficult to concentrate on the attention of a person, greatly reduces the vitality and the reaction force of the body, and is easy to cause safety accidents. Therefore, as a measure for actively preventing accidents, the method reduces the harm caused by the accidents, ensures that workers are safer, and has important social significance and practical value for fatigue detection.
The study for fatigue detection was applied relatively late, as it was not evident from well-defined features. At first, a researcher analyzes the fatigue degree of a human body by using an acquired medical physiological signal, and the fatigue degree of a tested person can be accurately detected by taking the medical acquired physiological signal (such as electroencephalogram, electrocardiogram and the like) data of the tested person as an evaluation parameter of the fatigue degree. At present, the main modes in the field of fatigue detection are mainly classified into fatigue detection based on facial information features and fatigue detection based on physiological information features. The fatigue detection method based on the facial information features is convenient in data acquisition, but is easily interfered by external environment changes, and the installation of video acquisition equipment is not allowed due to privacy and confidentiality requirements in some specific working occasions.
Fatigue detection based on physiological information characteristics has high identification precision but needs to be worn by detected personnel, which brings inconvenience in actual working scenes. Firstly, the use cost is increased, and unnecessary troubles are brought. Although the fatigue detection method based on contact measurement can achieve the effect of fatigue determination, there are many inconveniences in the actual use process. In patent CN201810026845.6, four kinds of physiological characteristic information are extracted to perform SVM classification to obtain a fatigue state, but when physiological characteristics such as a respiratory rate and a heart rate are extracted, a contact type measuring device such as a respiratory sensor is used. In the working process of indoor personnel, unnecessary burden is obviously brought to the personnel wearing the respiration sensor, and normal work is influenced.
Accordingly, those skilled in the art have endeavored to develop a non-contact office worker fatigue detection system and method.
Disclosure of Invention
In view of the above defects of the prior art, the technical problem to be solved by the present invention is how to reduce the increase of the use cost of the contact fatigue detection and eliminate the inconvenience and burden brought by the contact fatigue detection.
The inventor finds that the physiological signals of the staff in an office can be detected by using wireless transmission signals (such as wireless radio frequency signals, ultrasonic waves and the like), the fatigue state of the staff is obtained by judging the extracted physiological information, and an alarm is given when the staff is in fatigue so as to achieve the purpose of fatigue detection and solve the problems caused by a fatigue detection mode based on contact measurement. The inventor designs a non-contact office worker fatigue detection method, firstly, a wireless signal is transmitted to indoor office workers, and after a system receives a reflected signal, the distance between the system and the corresponding workers can be calculated according to the time delay of the signal and the change of the signal state. While a person is breathing and beating the heart, it causes a small displacement in the position of the chest. Therefore, the calculation unit of the system can calculate the change of the distance between the user and the corresponding office staff according to the received signals, and then calculate the respiratory rate and the heart rate according to the rate of the change of the distance. And then calculating to obtain real-time physiological signals of the staff, and sending out fatigue alarm when the physiological signal value is abnormal.
In one embodiment of the invention, a non-contact office worker fatigue detection system is provided, which comprises a wireless signal transmitting module, a wireless signal receiving module, an edge calculating module and an alarm module; the wireless signal transmitting module transmits a wireless signal, the wireless signal is reflected by the human body of an office worker and received by the wireless signal receiving module, the wireless signal receiving module transmits the received wireless signal to the edge computing module, the edge computing module processes the wireless signal to obtain a real-time physiological signal, when the real-time physiological signal is judged not to be in a normal range, an alarm instruction is transmitted to the alarm module, and the alarm module gives an alarm in response to the instruction of the edge computing module; the wireless signal transmitting module is independently arranged, the wireless signal receiving module is connected with the edge calculating module through a cable, and the edge calculating module is connected with the alarm module through a cable.
Optionally, in the non-contact office worker fatigue detection system in the above embodiment, the wireless signal transmitted by the wireless signal transmitting module is an ultrasonic wave.
Optionally, in the non-contact office worker fatigue detection system in the above embodiment, the wireless signal transmitted by the wireless signal transmitting module is a WIFI signal with a fixed operating frequency.
Further, in the non-contact office worker fatigue detection system in the above embodiment, the wireless signal received by the wireless signal receiving module includes Channel State Information (CSI), which is used to measure a channel state of a wireless network in WIFI communication.
Optionally, in the non-contact office fatigue detection system in any of the above embodiments, the receiving frequency of the channel state information is 10Hz.
Further, in the non-contact office fatigue detection system in the above embodiment, the channel state information includes carrier signal strength, amplitude, phase, and signal delay.
Optionally, in the non-contact office fatigue detection system in any of the above embodiments, the edge calculation module filters the channel state information and calculates a distance between the office worker and the wireless signal receiving module according to the change, where the distance reflects a real-time physiological signal of the office worker.
Further, in the non-contact office fatigue detection system in the above embodiment, the edge calculation module prestores a normal range of the physiological signal of the office staff.
Further, in the non-contact office worker fatigue detection system in the above embodiment, the physiological signal includes a breathing rate and a heart rate.
Further, in the non-contact office fatigue detection system in the above embodiment, the heart rate is obtained by extracting the heartbeat waveform by the edge calculation module using an IIR (Infinite Impulse Response) digital filter, that is, a recursive filter.
Optionally, in the contactless office worker fatigue detection system in any of the above embodiments, the alarm of the alarm module includes a name of the office worker.
Based on any one of the embodiments, in another embodiment of the present invention, a non-contact office worker fatigue detection method is provided, including the following steps:
step S100, preparation work;
step S200, transmitting a wireless signal, wherein the wireless signal transmitting module transmits the wireless signal to office staff;
step S300, receiving a wireless signal, wherein the wireless signal receiving module detects the quality and the strength of the received wireless signal, and when the received wireless signal does not meet the data processing requirement, the wireless signal transmitting module is adjusted until the received wireless signal meets the data processing requirement;
step S400, processing the wireless signal, and sending an alarm instruction to an alarm module by the edge calculation module according to the situation;
and S500, alarming, wherein the alarming module gives an alarm in response to the alarming instruction.
Optionally, in the non-contact method for detecting fatigue of office staff in the above embodiment, the preparation in step S100 includes setting a wireless signal transmitting module, and the edge calculating module presets the personal information of office staff and the normal range of physiological signals thereof.
Optionally, in the method for detecting fatigue of office staff in a non-contact manner according to any of the above embodiments, step S400 further includes:
step S410, the wireless signal receiving module sends the wireless signal to the edge computing module;
step S420, the edge calculation module extracts and analyzes the wireless signal and converts the wireless signal into a real-time physiological signal;
step S430, identifying the position of an office worker according to the position of the wireless transmission signal, and marking a label with personal identity information for the real-time physiological signal;
step S440, comparing the normal range of the real-time physiological signal with the normal range of the physiological signal of the office staff;
and S450, when the real-time physiological signal is not in the normal range, sending an alarm instruction to an alarm module, otherwise, executing the step S410.
Further, in the non-contact office fatigue detection method of the above embodiment, the real-time physiological signal in step S420 includes a respiratory rate and a heart rate.
Optionally, in the non-contact fatigue detection method for the office staff according to any of the above embodiments, the alarm information in step S500 includes the name of the office staff.
The invention uses wireless signals to detect the physiological signals of the staff in the office, obtains the fatigue state of the staff by judging the extracted physiological information, and sends out an alarm when the staff is in fatigue so as to achieve the aim of fatigue detection. The invention solves the problems caused by a fatigue detection mode based on contact measurement, reduces the cost and avoids unnecessary burden and inconvenience.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a schematic diagram illustrating a non-contact office worker fatigue detection system composition according to an exemplary embodiment;
fig. 2 is a flow chart illustrating a contactless office worker fatigue detection method according to an exemplary embodiment.
Detailed Description
The technical contents of the preferred embodiments of the present invention will be made clear and easily understood by referring to the drawings attached to the specification. The present invention may be embodied in many different forms of embodiments and the scope of the invention is not limited to the embodiments set forth herein.
In the drawings, structurally identical elements are represented by like reference numerals, and structurally or functionally similar elements are represented by like reference numerals throughout the several views. The size and thickness of each component shown in the drawings are arbitrarily illustrated, and the present invention is not limited to the size and thickness of each component. In order to make the illustration clearer, the thickness of parts are exaggerated in some places in the drawings as appropriate.
The inventor designs a non-contact office worker fatigue detection system, which comprises a wireless signal transmitting module, a wireless signal receiving module, an edge calculating module and an alarm module, as shown in fig. 1; the wireless signal transmitting module transmits a wireless signal, the wireless signal is reflected by the human body of office staff and received by the wireless signal receiving module, the wireless signal receiving module transmits the received wireless signal to the edge computing module, the edge computing module processes the wireless signal to obtain a real-time physiological signal, when the real-time physiological signal is judged not to be in a normal range, an alarm instruction is transmitted to the alarm module, and the alarm module gives an alarm in response to the instruction of the edge computing module; the wireless signal transmitting module is independently arranged, the wireless signal receiving module is connected with the edge calculating module through a cable, and the edge calculating module is connected with the alarm module through a cable. The wireless signal transmitted by the wireless signal transmitting module is a WIFI signal with fixed working frequency; the wireless signal receiving module of the wireless signal receiving module receives a wireless signal including Channel State Information (CSI), and measures a channel state of a wireless network in WIFI communication, where a receiving frequency of the channel state information is 10Hz, and the channel state information includes carrier signal strength, amplitude, phase, and signal delay; the edge calculation module prestores a normal range of physiological signals of office workers, the edge calculation module filters the channel state information and calculates the distance between the office workers and the wireless signal receiving module according to changes, the distance reflects real-time physiological signals of the office workers and comprises respiratory frequency and heart rate, and the heart rate is obtained by extracting heartbeat waveforms by the edge calculation module through a biquad cascade (IIR) digital filter, namely a recursive filter; the alarm of the alarm module includes the name of the office worker.
Based on the above embodiment, the inventor provides a non-contact office worker fatigue detection method, as shown in fig. 2, including the following steps:
s100, preparing, namely setting a wireless signal transmitting module, and presetting personal information of office staff and a normal range of physiological signals of the office staff by an edge calculating module;
step S200, transmitting a wireless signal, wherein the wireless signal transmitting module transmits the wireless signal to office staff;
step S300, receiving a wireless signal, wherein the wireless signal receiving module detects the quality and the strength of the received wireless signal, and when the received wireless signal does not meet the data processing requirement, the wireless signal transmitting module is adjusted until the received wireless signal meets the data processing requirement;
step S400, processing the wireless signal, and sending an alarm instruction to an alarm module by the edge calculation module according to the situation; the method specifically comprises the following steps:
step S410, the wireless signal receiving module sends the wireless signal to the edge computing module;
step S420, the edge calculation module extracts and analyzes the wireless signal and converts the wireless signal into a real-time physiological signal;
step S430, identifying the position of an office worker according to the position of the wireless transmission signal, and marking a label with personal identity information for the real-time physiological signal;
step S440, comparing the normal range of the real-time physiological signal with the normal range of the physiological signal of the office staff;
and step S450, when the real-time physiological signal is not in the normal range, sending an alarm instruction to an alarm module, otherwise, executing the step S410.
And S500, alarming, wherein in response to an alarm instruction, an alarm module alarms, and the alarm information comprises names of office workers.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.

Claims (10)

1. A non-contact office worker fatigue detection system is characterized by comprising a wireless signal transmitting module, a wireless signal receiving module, an edge calculating module and an alarm module; the wireless signal transmitting module transmits a wireless signal, the wireless signal is reflected by a human body of an office worker and received by the wireless signal receiving module, the wireless signal receiving module transmits the wireless signal to the edge computing module, the edge computing module processes the wireless signal to obtain a real-time physiological signal, and the processing method comprises the following steps: the edge calculation module extracts and analyzes the wireless signals and converts the wireless signals into real-time physiological signals; identifying the position of the office worker according to the position of the wireless transmission signal, and marking a label with personal identity information on the real-time physiological signal; comparing the real-time physiological signal with a normal range of physiological signals of the office staff; when the real-time physiological signal is judged not to be in the normal range, sending an alarm instruction to the alarm module, and responding to the instruction of the edge calculation module, and giving an alarm by the alarm module; the wireless signal transmitting module is arranged independently, the wireless signal receiving module is connected with the edge calculating module through a cable, and the edge calculating module is connected with the alarm module through a cable.
2. The system of claim 1, wherein the wireless signal transmitted by the wireless signal transmitting module is a fixed operating frequency WIFI signal.
3. The system of claim 1, wherein the wireless signal emitted by the wireless signal emitting module is ultrasonic.
4. The system of claim 2, wherein the wireless signal received by the wireless signal receiving module comprises channel state information to measure a channel state of a wireless network in WIFI communication.
5. The contactless office worker fatigue detection system of claim 4, wherein the channel state information comprises carrier signal strength, amplitude, phase, and signal delay.
6. The non-contact office worker fatigue detection system of claim 1, wherein the physiological signal comprises a respiratory rate and a heart rate.
7. A fatigue detection method using the non-contact office worker fatigue detection system according to any one of claims 1 to 6, characterized by comprising the steps of:
s100, preparing;
step S200, transmitting a wireless signal, wherein the wireless signal transmitting module transmits the wireless signal to office staff;
step S300, receiving the wireless signal, wherein the wireless signal receiving module detects the quality and the strength of the received wireless signal, and when the received wireless signal does not accord with the data processing requirement, the wireless signal transmitting module is adjusted until the received wireless signal accords with the data processing requirement;
step S400, processing the wireless signal, and sending an alarm instruction to the alarm module by the edge calculation module according to the situation;
and S500, alarming, wherein the alarming module gives an alarm in response to the alarming instruction.
8. The fatigue detecting method according to claim 7, wherein the preparation work of step S100 includes setting the wireless signal transmitting module, and the edge calculating module presets the personal information of the office staff and the normal range of the physiological signal thereof.
9. The fatigue detection method of claim 7, wherein said step S400 further comprises:
s410, the wireless signal receiving module sends a wireless signal to the edge computing module;
s420, the edge calculation module extracts and analyzes the wireless signals and converts the wireless signals into real-time physiological signals;
s430, identifying the position of an office worker according to the position of the wireless transmission signal, and marking a label with personal identity information for the real-time physiological signal;
s440, comparing the normal ranges of the real-time physiological signal and the physiological signal of the office staff;
and S450, when the real-time physiological signal is not in the normal range, sending an alarm instruction to the alarm module, otherwise, executing the step S410.
10. The fatigue detection method according to claim 9, wherein the real-time physiological signals in step S420 include respiratory rate and heart rate.
CN202110874202.9A 2021-07-30 2021-07-30 Non-contact office worker fatigue detection system and method Active CN113593185B (en)

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