KR20230064514A - System and method for checking status of construction site worker - Google Patents

Abstract

The present invention relates to a system and method capable of transmitting first feedback data about a worker status through a repeater even in an area where a worker device cannot be connected, and transmitting second feedback data about a communication state of the repeater. . According to the construction site worker status check system and method according to the present invention, the first feedback data from the manager server can be transmitted to a worker in an area where communication is impossible via a communication repeater, a worker device, and a wearable device in turn, and at the same time , Since the second feedback data on the state of long-distance wireless communication in the communication repeater relaying the worker device and the manager server can be transmitted and received, communication even at construction sites where wireless communication with wearable devices is not allowed, such as subways or underground parking lots It may be easier to secure the stability of the system.

Description

Construction site worker condition check system and method {SYSTEM AND METHOD FOR CHECKING STATUS OF CONSTRUCTION SITE WORKER}

The present invention relates to a construction site worker condition check system and method. More specifically, the present invention is a system capable of transmitting first feedback data about a worker status through a repeater even in an area where it is impossible to connect to a worker device and transmitting second feedback data about a communication state of the repeater, and It's about how.

A wearable device may refer to an electronic device configured in a form wearable on the body to measure various data from the body or to transmit stimulation to the body in the form of hearing or touch. The wearable device has a wireless communication function and can be used in various areas of daily life, and can also be used for checking the condition of a worker at a construction site.

Depending on the nature of the construction site, for example, wireless communication with a wearable device may not be allowed at a site where a subway or underground parking lot is being built. A communication relay relaying the manager server may be utilized.

However, a wireless communication state of a communication repeater having a predetermined bandwidth may be changed according to the frequency of data collection of the wearable device, the frequency of data transmission, or the number of workers at the construction site. Therefore, in order to secure the stability of a communication system that checks a worker's condition at a construction site, it may be required to manage a wireless communication state through separate feedback even for a communication repeater.

The technical problem to be solved by the present invention is to provide a system and method capable of managing wireless communication status through separate feedback for a communication repeater in order to secure the stability of a communication system that checks the status of a worker at a construction site. is to do

As a means for solving the above-described technical problem, a construction site worker condition check system according to some embodiments of the present invention is worn on a worker's body and collects worker data related to the worker's biological state and movement state at a data collection period. Wearable device to collect according to; a worker device that is interlocked with the wearable device through first wireless communication and transmits processing worker data according to a data transmission period by processing at least a portion of the worker data; a communication repeater connected to the worker device through second wireless communication and relaying the processing worker data to an area where the worker device cannot be connected; and the first feedback data for the living body state and the motion state based on the processing operator data and the data collection period and data based on the state of the long-distance wireless communication connected to the communication repeater through the long-distance wireless communication. and a manager server that transmits second feedback data for the transmission period.

As another means for solving the above-described technical problem, a construction site worker condition check method according to some embodiments of the present invention, through a wearable device worn on the worker's body, related to the worker's biological state and movement state Collecting worker data according to a data collection cycle; Transmitting processing worker data according to a data transmission cycle by processing at least a portion of the worker data through a worker device interlocked with the wearable device through a first wireless communication; relaying the processing worker data to an area where the worker device and the connection cannot be reached through a communication repeater connected to the worker device through a second wireless communication; and the first feedback data for the living body state and motion state based on the processing worker data and the data collection based on the state of the long-distance wireless communication through a manager server connected to the communication repeater through the long-distance wireless communication. and transmitting second feedback data for the period and the data transmission period.

According to the construction site worker status check system and method according to the present invention, the first feedback data from the manager server can be transmitted to a worker in an area where communication is impossible via a communication repeater, a worker device, and a wearable device in turn, and at the same time , Since the second feedback data on the state of long-distance wireless communication in the communication repeater relaying the worker device and the manager server can be transmitted and received, communication even at construction sites where wireless communication with wearable devices is not allowed, such as subways or underground parking lots It may be easier to secure the stability of the system.

1 is a diagram for explaining elements constituting a construction site worker condition check system according to some embodiments.
2 is a diagram for explaining an interworking method between a wearable device, a worker device, and a manager server according to some embodiments.
3 is a diagram for explaining how a construction site worker condition check system operates according to some embodiments.
4 is a diagram for explaining a method of adding a communication repeater to a new area according to the progress of a construction site according to some embodiments.
5 is a diagram for explaining a structure of a body temperature sensor of a wearable device according to some embodiments.
6 is a diagram for explaining steps constituting a construction site worker state check method according to some embodiments.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The following description is only for specifying the embodiments, and is not intended to limit or limit the scope of rights according to the present invention. What a person skilled in the art can easily infer from the detailed description and examples of the present invention should be construed as belonging to the scope of the present invention.

The terms used in the present invention have been described as general terms widely used in the technical field related to the present invention, but the meanings of the terms used in the present invention are the intentions of technicians working in the field, the emergence of new technologies, examination standards or precedents. etc. may vary. Some terms may be arbitrarily selected by the applicant, and in this case, the meanings of the arbitrarily selected terms will be described in detail. Terms used in the present invention should be interpreted as meanings reflecting the overall context of the specification, not just dictionary meanings.

Terms such as 'consisting' or 'comprising' used in the present invention should not be construed as necessarily including all of the components or steps described in the specification, and if some components or steps are not included, and when additional components or steps are further included, it should also be construed as intended from the term.

Terms including ordinal numbers such as 'first' or 'second' used in the present invention may be used to describe various components or steps, but the components or steps should not be limited by ordinal numbers. . Terms containing ordinal numbers should only be construed to distinguish one component or step from other components or steps.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. A detailed description of matters widely known to those skilled in the art will be omitted.

1 is a diagram for explaining elements constituting a construction site worker condition check system according to some embodiments.

Referring to FIG. 1 , a construction site worker condition check system 100 may include a wearable device 110 , a worker device 120 , a communication relay 130 and a manager server 140 . However, it is not limited thereto, and other general-purpose elements may be further included in the system 100 .

The system 100 may refer to a system for checking the health status or safety status of workers working at a construction site. System 100 may be a communication system that utilizes wired/wireless data communication to check worker status.

In the system 100, the wearable device 110 may be worn on a body of a worker, and may collect worker data related to the worker's biological state and movement state according to a data collection period.

The wearable device 110 is an electronic device that can be worn on various body parts of a worker, for example, measures data from a worker's body, such as a smart watch, smart glasses, wearable computer, or smart underwear, and It can be implemented in various forms capable of delivering stimuli such as visual/auditory/tactile to the body. Worker data measured by the wearable device 110 may be related to the worker's biological state and movement state. For example, the wearable device 110 may measure and collect worker data according to a preset variable data collection cycle, such as once per minute.

In the system 100, the worker device 120 may interwork with the wearable device 110 through first wireless communication, and may transmit processing worker data according to a data transmission period by processing at least a portion of the worker data.

The worker device 120 may refer to a portable electronic device such as a smart phone owned by a worker. In addition, various types of devices having a data processing function and a communication function may correspond to the worker device 120 . The worker device 120 may be interworked with the wearable device 110 or paired 1:1 through short-range wireless communication such as Bluetooth. For example, the communication module included in the wearable device 110 may be a Bluetooth module of model name HM-19.

The worker device 120 may generate processing worker data by processing at least a portion of the worker data. For example, the worker device 120 may process only one of health state data and safety state data, or only a portion of each of them, in consideration of the state of wireless communication. Processing of worker data may include sorting, filtering, partial deletion, compression, or other forms of data processing required for wireless communications. The worker device 120 may transmit processing worker data according to a predetermined data transmission cycle or only when requested.

In the system 100 , the communication repeater 130 may be connected to the worker device 120 through a second wireless communication, and may relay processing worker data to an area where the worker device 120 cannot be connected.

The communication repeater 130 may be connected to the worker device 120 through commercial long-distance wireless communication such as LTE, 5G, and WLAN (WiFi). The term of long-distance wireless data may be interpreted as meaning data communication performed at a greater distance than the aforementioned short-range wireless data. According to the communication repeater 130, processing worker data can be transmitted to the manager server 140 on the ground even in an area where long-distance wireless communication with the worker device 120 is impossible, for example, at an underground construction site.

Communication repeater 130 may be composed of a plurality of elements. For example, the communication repeater 130 may relay processing operator data via an access point (AP) for wireless communication relay, a virtual private network (VPN), a router, and an IDC in sequence. On the other hand, a virtual private network (VPN) may be installed in an area where long-distance wireless communication with the worker device 120 is possible, and a router for LTE or 5G data communication may be installed in an area where long-distance wireless communication is not possible.

In the system 100, the manager server 140 may be connected to the communication relay 130 through long-distance wireless communication, and the first feedback data for the living body state and motion state based on the processing operator data and the state of the long-distance wireless communication The second feedback data for the data collection period and the data transmission period based thereon may be transmitted.

The manager server 140 may be a server device including electronic components for storing and processing data relayed by the communication relay 130 and transmitting the result back. For example, the manager server 140 may be a computing device including a memory such as DRAM, SSD, HDD, and the like, and a processor such as CPU, GPU, and AP. The manager server 140 may be connected to the communication relay 130 through long-distance wireless communication. The communication relay 130 may exchange data with the worker device 120 and the manager server 140 in the same communication method.

The manager server 140 may generate first feedback data for a biological state and a movement state based on processing operator data. For example, when the worker's bio-state data, such as heart rate, blood oxygen saturation, or body temperature, is out of a normal range, first feedback data recommending the worker to rest may be generated. Alternatively, when movement state data such as the worker's speed, acceleration, or gyro angular velocity is out of a normal range, first feedback data regarding a safety state such as the worker's fall may be generated.

The manager server 140 may generate second feedback data for a data collection period and a data transmission period based on a state of long-distance wireless communication. For example, when data exceeding the limited bandwidth of long-distance wireless communication in the communication repeater 130 is transmitted, the manager server 140 sets the data collection period of the wearable device 110 to reduce the amount of data transmission for communication stability. And it is possible to generate second feedback data that reduces at least one of the data transmission period of the worker device 120. The first feedback data and the second feedback data generated by the manager server 140 may be transmitted to the worker device 120 and the wearable device 110 through the communication relay 130 .

According to the operation process performed by each component of the system 100 as above, second feedback data regarding the communication state of the communication relay 130 as well as the first feedback data on the health / safety state of the operator are generated, Since feedback can be provided, communication stability of the system 100 can be more easily secured even in a construction site where wireless communication with the wearable device 110 is not permitted, such as in a subway or underground parking lot.

2 is a diagram for explaining an interworking method between a wearable device, a worker device, and a manager server according to some embodiments.

Referring to FIG. 2, in the system 100, a wearable device 110 in the form of a smart watch can be paired with a worker device 120 in the form of a smart phone through Bluetooth, which is one of short-range wireless communication, and their interworking is again performed by the administrator. It may be registered in the server 140.

Registration of the wearable device 110 and the worker device 120 to the manager server 140 may be performed individually, or both may be paired and registered at the same time. Meanwhile, registration of the wearable device 110 and the worker device 120 may be performed through a smartphone or other device of a manager of the system 100 that operates the manager server 140 . In this case, as shown, registration may be performed by generating a QR code in the worker device 120 and reading it through a smartphone of a manager of the system 100.

When the wearable device 110 and the worker device 120 interoperated in the system 100 are registered with the manager server 140, the worker wearing the wearable device 110 transmits the manager server 140 and LTE/5G data Even in an area where communication is not possible (eg, a subway construction site, etc.), it may be possible to exchange data with each other via a VPN and a router of the communication repeater 130.

3 is a diagram for explaining how a construction site worker condition check system operates according to some embodiments.

Referring to FIG. 3 , a process of exchanging data through a communication relay 130 between a wearable device 110 and a manager server 140 (manager device) in which areas where mutual communication is impossible in the system 100 is located is shown. .

In this regard, the communication relay 130 includes at least i) a router 133 in an area connectable to the manager server 140 and ii) a virtual private network (VPN) 132 in an area unreachable with the manager server 140 The virtual private network 132 may relay the worker device 120 and the router 133 with a first relay bandwidth, and the router 133 may have a second relay bandwidth greater than the first relay bandwidth, and the virtual private network ( 132) and the manager server 140 may be relayed.

In addition to the virtual private network 132 and the router 133, the communication relay 130 may further include an access point (AP) 131 and an IDC 134. The access point 131 may be connected to the virtual private network 132 through a POE switch. Meanwhile, the router 133 may be an LTE router for relaying LTE data or a 5G router for relaying 5G data. For example, the first relaying bandwidth of the virtual private network 132 may be 30 Mbps, the second relaying bandwidth of the router 133 may be 100 Mbps, and other appropriate values as necessary may be the first/second relaying Bandwidth can be set.

As described above, when the first relay bandwidth of the virtual private network 132 of the communication repeater 130 and the second relay bandwidth of the router 133 are set, if data traffic exceeding these is generated, long distance to secure communication stability. It may be requested to provide the communication relay 130 with second feedback data about the state of the wireless communication.

In relation to the first method for securing communication stability of the system 100 through the second feedback data, when at least one of the first relay bandwidth and the second relay bandwidth is exceeded, the manager server 140 sends the second feedback data At least one of a data collection period and a data transmission period may be increased through.

As described above, the wearable device 110 collects worker data related to the biological state and movement state from the worker's body according to the data collection cycle, and the worker device 120 processes the worker data according to the data transmission cycle. Since the worker data is being transmitted, if the frequency of data processing is reduced by increasing the period of these data traffic in the system 100 is reduced, and stable data transmission and reception can be achieved again. Conversely, the data collection/transmission cycle may increase if there is a margin in the first/second relaying bandwidth.

Regarding the second method for securing communication stability of the system 100 through the second feedback data, the processing operator data may include first category data processed from operator data and second category data that is not processed, and When at least one of the first relaying bandwidth and the second relaying bandwidth is exceeded, the manager server 140 may increase the weight of the first category data to the second category data through the second feedback data.

As noted above, processing of operator data may include sorting, filtering, deleting, compression, or other forms of data processing required for wireless communications. First category data through such processing may have higher transmission efficiency than second category data. Accordingly, when the proportion of the first category data increases, data traffic of the entire system 100 decreases, thereby achieving communication stabilization.

In relation to the third method for securing communication stability of the system 100 through the second feedback data, the construction site worker status check system 100 includes at least one selection connected to the virtual private network 132 and the router 133. It may further include servers 151 and 152, and when at least one of the first relay bandwidth and the second relay bandwidth is exceeded, the at least one sorting server 151 or 152 determines the biological state and movement state of the processing worker data and Selected data whose relevance exceeds a preset threshold may be filtered and transmitted to the manager server 140 .

That is, when at least one of the screening servers 151 and 152 is utilized, instead of transmitting and receiving all data from the traffic of the system 100, only a selected part of the data can be transmitted and received. Communication stabilization can be achieved by reducing data traffic.

4 is a diagram for explaining a method of adding a communication repeater to a new area according to the progress of a construction site according to some embodiments.

Referring to FIG. 4, while corresponding to the above-described system 100, a system 400 in which an access point (AP) and a virtual private network (VPN) are additionally installed in a new relay area 160 according to the progress of the construction site. ) is shown.

In the system 400, a new area that is not relayed by the existing access point 131 and virtual private network 132, for example, completes the process of the fourth basement floor where the access point 131 and virtual private network 132 are installed. And even when the process of the third basement level is performed next, communication stability of the system 400 can be secured by utilizing the new relay area 160 . Meanwhile, in the system 400, various additional functions may be implemented based on the progress of the construction site.

First, the manager server 140 may differently set a biological state collection cycle and a motion state collection cycle among data collection cycles according to the process stage of the construction site through the first feedback data. In other words, depending on the process step of the construction site, whether the main problem is the worker's health status due to body temperature, heart rate, and oxygen saturation, or whether the safety condition, such as a fall, is a major problem. A method of changing the relative frequency of collecting the biological state and motion state may be utilized.

Next, the worker device 120 may transmit the worker's location information to the manager server 140, the manager server 140 may perform an attendance check of the worker based on the location information, and the worker may check the construction site. When leaving the work area according to the process step of the first feedback data can transmit a warning signal. According to this method, the work attitude of the worker can be easily managed based on the work position at each stage of the process.

5 is a diagram for explaining a structure of a body temperature sensor of a wearable device according to some embodiments.

Referring to FIG. 5 , images 510 , 520 , and 530 for explaining the structure of the body temperature sensor of the wearable device 110 are shown. The images 510, 520, and 530 are only presented for illustrative purposes, and the wearable device 110 and various sensors having a different structure or shape may be utilized.

First, the biological state may include the worker's heart rate, oxygen saturation, and body temperature, the movement state may include the worker's acceleration and gyro angular velocity, and the wearable device 110 may measure the worker's heart rate and oxygen saturation. A heart rate/oxygen saturation sensor, a body temperature sensor for measuring the worker's body temperature, and a gyro sensor for measuring the worker's acceleration and gyro angular velocity, wherein the first feedback data is based on the worker's heart rate, oxygen saturation and body temperature. It may include worker's work intensity feedback and worker's safe state feedback based on the worker's acceleration and gyro angular velocity.

That is, the wearable device 110 may include a heart rate/oxygen saturation sensor, a gyro sensor, and a body temperature sensor for measuring a worker's biological condition. For example, Maxim Integrated's MAX86141 model can be used as a heart rate/oxygen saturation sensor, InvenSense's MPU-6500 model can be used as a gyro sensor, and TDK's B57861S0103H040 model can be used as a body temperature sensor. Work intensity feedback and safety state feedback may be generated, respectively, based on the biometric state and the movement state measured through various sensors of the wearable device 110, and these form first feedback data to provide information to the operator through the wearable device 110. can be passed on to

Meanwhile, as shown in images 510, 520, and 530, in relation to a structure capable of more accurately measuring a worker's body temperature, the wearable device 110 may include a smart watch worn on the worker's wrist, The body temperature sensor may include a metal contact part contacting the worker's wrist, a thermistor connected to the metal contact part through thermal grease, and a PCB calculation unit estimating the body temperature of the worker based on the resistance value of the thermistor. .

According to the structure of the body temperature sensor as described above, the worker's body temperature can be directly transmitted to the metal contact part that directly contacts the worker's wrist, and this body temperature can be transmitted to the thermistor through the thermal grease. Since a measurement value can be generated based on the resistance variation of the thermistor that is directly reflected, accuracy of generating the first feedback data according to the operator's body temperature variation can be improved.

Meanwhile, when measuring data from a worker, the wearable device 110 may utilize a non-contact biometric method in addition to a contact method through a smart watch or the like. For example, the wearable device 110 may check the worker's initial health condition in a non-contact biometric method, and synchronize the initial health condition with the biometric condition measured thereafter. According to such a non-contact biometric measurement method, since the wearable device 110 does not necessarily come into contact with the operator's body, restrictions on the shape or structure of the wearable device 110 can be reduced.

Specifically, the non-contact biometric method includes acquiring a plurality of images of a worker's body, setting a region of interest in the images, filtering the set region of interest, and converting pixels of the filtered region of interest into color difference signals. , and a step of extracting the biological state of the operator from the color difference signal.

Meanwhile, since the wearable device 110 must continuously collect and transmit worker data to the worker device 120, driving the wearable device 110 with low power may be a major task in the system 100.

First, in relation to power saving, in the first low power mode, the wearable device 110 can transmit worker data only when there is a request from the worker device 120, and when there is no request, the wearable device 110 The state may not be measured, the movement state may be measured every data collection period, and when requested, the wearable device 110 may measure the biological state and transmit it as worker data together with the last measured movement state. . According to the first low power mode, data transmission can be performed only when requested, and thus power consumption of the wearable device 110 can be significantly reduced.

However, since communication stabilization may be hindered by low power consumption for reasons such as transmitting a lot of data at once, power saving and communication stabilization may be in a trade-off relationship with each other, so either mode is pursued as necessary. A conversion method may be used.

Regarding the mode switching method, the wearable device 110 may operate in either a second low power mode or a stable communication mode based on power consumption and communication stability, and in the second low power mode, the wearable device 110 converts data Data obtained by accumulating operator data during a plurality of collection periods may be simultaneously transmitted, and in a stable communication mode, the wearable device 110 may transmit immediately whenever the biometric state and motion state are measured. According to this mode switching method, the wearable device 110 can operate in the second low-power mode at a time when power saving is required and in the communication stable mode at a time when communication stabilization is required, so that only advantages of both modes can be taken. .

In one embodiment, the basic data may be accelerometer, gyroscope, heartbeat, SpO2 and body temperature sensors. Accelerometer and gyroscope can be defined in all 3 axes to perfectly determine all activity metrics of the user. Heart rate and SpO2 sensors are typically optimized for lower sampling rates than accelerometers and gyroscopes, so they can be battery-powered.

First, data collection and data segmentation. Data collection can be an abstraction of motion, recognition and transmission in a motion recognition system. Data obtained from wearable sensor networks can be a continuous and potentially infinite stream of data. The problem with data segmentation is how to cut off a cross-section in an infinite sensor data stream for motion recognition. The collected data is called motion instance and is the most basic unit for subsequent motion recognition.

Second, the extraction of anomalous behavioral patterns. It may be an action instance containing raw sensor data corresponding to one or more of the user's actions. Recognizing anomalies in this raw data may require feature extraction from the anomaly data contained in motion instances.

Collected measurements for physiological parameters are represented by the data matrix X = (X _ij ), where i is the time instance and j can represent the monitored parameter. X _k =(X _1k ,X _2k ,. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ) is a column of the data matrix X given in Equation 1.

To detect abnormal values, J48 (Decision Tree Algorithm) can be used to classify a record (or line) as normal or abnormal. When an abnormal record is detected, a linear regression algorithm is used to predict the current measurement for each parameter, and if the difference between the predicted value and the current value is greater than a threshold, a correlation analysis can be performed to distinguish between a faulty sensor and poor patient health. ..

Decision tree J48 is a decision tree algorithm used for classification where features are represented by non-terminal nodes and terminal nodes represent decision outcomes. In our model, tree nodes are monitored physiological traits and leaf nodes can be classes (normal and abnormal). To build a tree node from root to leaf, the gain ratio (GR) of each characteristic can be calculated as shown in Equation 2 below.

In Equation 2, the information Gain IG (X, Xk) can be calculated as in Equation 3.

where H(X) is the entropy of the association between the training record and the nominal class (normal or abnormal), and x _ik is the value taken by feature X _k . Information acquisition does not take into account the information split between the two classes, so we need to compute the information split for each X _ik .

In Equation 4, n is the number of classes, and SI(X, X _ik ) is the unexpected entropy of X _ik within each class. Therefore, by calculating the gain ratio for each feature, these features can be distributed hierarchically to the tree nodes.

Linear regression is a statistical method for modeling the dependent variable Y _ik using a vector of independent variables X _ik called regression. The model can be expressed as in Equation 5 below.

Linear regression is a statistical method for modeling the dependent variable Yik using a vector of independent variables X _ik called regression. The model can be expressed as Equation 6 below.

Linear regression has the same instance X _ij | It can be used to predict the value of Y _ik using the other properties of _j6 = k and compare the predicted (Y _ik ) with the actual value of X _ik to ensure that it fits within a small margin of error.

Many wireless devices with limited resources are used to collect data, and portable collection devices (e.g., smartphones) with more resources and higher transmission capabilities analyze the collected data and, when abnormal patterns are detected, alert the emergency team. Can be used to raise an alert.

Abnormal values can be detected to reduce false alarms due to erroneous measurements while differentiating detection defects of patient health anomalies. It can be based on decision trees and linear regression. A decision tree can be built and linear coefficients retrieved from normal vital signs that fall within the bounded interval range of the monitored characteristic.

[80-120], 펄스

[80 - 120], 호흡 속도

[12 - 30], SpO2

[90 100], Temperature

[36.5 - 37.5]. 제한된 정상 간격을 벗어난 특성 값은 비정상적인 것으로 간주될 수 있다. HR과 맥박은 서로 다른 센서의 동일한 속성을 반영하며, 여기서 맥박은 맥박산소계로부터 얻어지고 HR은 심전도 신호의 불규칙한 간격(R-R)의 수로 측정될 수 있다.You can focus on vital signs such as: HR

[80-120], pulse

[80 - 120], breathing rate

[12 - 30], SpO2

[90 100], Temperature

[36.5 - 37.5]. Characteristic values outside of a limited normal interval can be considered abnormal. HR and pulse reflect the same properties of different sensors, where pulse is obtained from a pulse oximeter and HR can be measured as the number of irregular intervals (RR) of the ECG signal.

algorithm

1: for each received record Ri ---during Time T do

2: Classify Ri J48;

3: if Class(Ri) == 'ABNORMAL' then

do4: for each

do

=

5:

=

6:

7: end for

8: if

9: Raise Alarm for Health

10: end if

11: end if

12: end for

Equation 7 below is an equation representing a residual threshold used to detect an abnormal measurement.

The following scheme can be based on two steps: training and detection.

In the training phase, machine learning methods create models to classify data, and in the testing phase, inputs can be classified as abnormal if they deviate from the existing model. A J48 decision tree model (built using training data within a bounded interval) can be used in the approach to classify each received record as normal or abnormal. Because the tree model is based on numerical comparison for classification, it is a low-cost, robust, and fast-processing rule set (if-then).

In addition, since anomalies detected by J48 only trigger predictions with linear regression, we can use limited small intervals for the traits monitored in the training phase. If a record is classified as abnormal by J48, the feature (X _ik ) is recursively missing and the linear regression coefficients estimate the current values for the other features (x _ij | _j6=k ) given in the equation for heart rate estimation. It can be assumed that it is used for

According to Equation 8, if the Euclidian distance between the current (HR _i ) and estimated (HR^ _i ) values is greater than a predefined threshold (10% of the expected value) for one characteristic, the measurement is considered to be faulty. and can be replaced by linear regression with expected values. However, if at least two readings are above the threshold, it can trigger an alert to the management team. For example, rapid changes in HR and decrease in SpO2 are symptoms of deteriorating health and may require immediate medical intervention.

J48 can be used to reduce computational complexity and avoid estimating each feature for each instance of a base station. J48 is based on several comparisons for classification, and a combination of the two approaches to fault detection and classification can be used.

6 is a diagram for explaining steps constituting a construction site worker state check method according to some embodiments.

Referring to FIG. 6 , a construction site worker condition check method 600 may include steps 610 to 640 . However, other general-purpose steps may be further included in method 600 without being limited thereto.

The method 600 of FIG. 6 may be composed of steps processed time-sequentially in the systems 100 and 400 described above with reference to FIGS. 1 to 5 . Therefore, even if the contents are omitted below, the contents described above with respect to the systems 100 and 400 may be equally applied to the method 600 .

Steps 610 to 640 constituting the method 600 are performed on the wearable device 110, the worker device 120, the communication relay 130 and the manager server 140 constituting the systems 100 and 400. can be performed by

In step 610, the wearable device 110 worn on the body of the worker may collect worker data related to the worker's biological state and movement state according to a data collection period.

In step 620, the worker device 120 interworking with the wearable device 110 through short-range wireless communication may transmit processing worker data according to a data transmission period by processing at least a portion of the worker data.

In step 630, the communication repeater 130 connected to the worker device 120 through long-distance wireless communication may relay processing worker data to an area where the worker device 120 cannot be connected.

In step 640, the manager server 140 connected to the communication relay 130 through long-distance wireless communication, based on the first feedback data for the living body state and motion state based on the processing operator data and the state of long-distance wireless communication The second feedback data for the data collection period and the data transmission period may be transmitted.

Meanwhile, the construction site worker state check method 600 may be recorded in a computer-readable recording medium in which at least one program or software including instructions for executing the method is recorded.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and floptical disks such as Hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like, may be included. Examples of program instructions may include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes generated by a compiler.

Although the embodiments of the present invention have been described in detail above, the scope of rights according to the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concept of the present invention described in the following claims are also the present invention. It should be interpreted as being included in the scope of rights according to

100: system 110: wearable device
120: worker device 130: communication relay
131: access point (AP) 132: virtual private network (132)
133: router 134: IDC
140: administrator server 151, 152: at least one screening server
160: New relay area

Claims (1)

In the construction site worker condition check system,
a wearable device that is worn on a worker's body and collects worker data related to the worker's biological state and movement state according to a data collection period;
a worker device that is interlocked with the wearable device through first wireless communication and transmits processing worker data according to a data transmission period by processing at least a portion of the worker data;
a communication repeater connected to the worker device through second wireless communication and relaying the processing worker data to an area where the worker device cannot be connected; and
It is connected to the communication repeater through long-distance wireless communication, and the data collection period and data transmission based on the first feedback data for the living body state and the motion state based on the processing worker data and the state of the long-distance wireless communication A construction site worker status check system comprising a manager server that transmits second feedback data for a period.

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