KR102009898B1 - Safety management system for industrial site based on beacon - Google Patents

Abstract

The present invention relates to a security management system of an industrial site based on a beacon, which comprises: at least one dangerous object module including a first transception unit, a first control unit, and a first output unit; and at least one operator module including a second transception unit, a second control unit, and a second output unit. The first control unit and the second control unit are configured to use received signal strength (RSSI) values of signal data received from the first transception unit and the second transception unit, respectively, an average value of the RSSI values including a plurality of previous times, a maximum value of the RSSI values including the plurality of previous times, and a plurality of variable values including at least a value of the number of times exceeding a trigger value from the RSSI values including the plurality of previous times as data values, convert each data value into index data having interval values, and input the data value in a determination tree structure of a previously inputted risk determination algorithm to determine a risk of collision.

Description

Beacon based industrial site safety management system {SAFETY MANAGEMENT SYSTEM FOR INDUSTRIAL SITE BASED ON BEACON}

The present invention relates to a beacon-based industrial site safety management system, and more particularly to a beacon-based industrial site safety management system that can more accurately determine the risk of collision between dangerous goods and workers.

In general, various industrial sites such as construction sites and distribution centers include collisions between dangerous goods (including heavy equipment such as forklifts and defined as a concept encompassing both mobile and stationary types) and workers.

In fact, due to accidents in industrial sites, not only do they generate a large number of casualties each year, but also human and physical damages in which expensive dangerous goods are damaged.

In order to solve this problem, a technology for locating a beacon using a beacon and warning a dangerous object or a worker about a collision risk has been developed.

As related arts, Korean Patent Publication No. 10-1736158 (Patent Document 1), Korean Patent Publication No. 10-1695904 (Patent Document 2), and Korean Patent Publication No. 10-2016-0127881 This has been disclosed.

However, the conventional beacon-based industrial site safety management system including Patent Documents 1 to 3 includes a time of arrival (TOA), a time difference of arrival (TDOA) of a beacon signal, Alternatively, the distance between the dangerous object and the worker is measured by using the distance measuring method of at least one of the received signal strength indicators (RSSI) to determine whether there is a collision risk, but due to the protocol characteristics of the beacon, it is difficult to accurately measure the distance. have.

In particular, the method of measuring the distance between a dangerous object and an operator using only the received signal strength indicator (RSSI) of a beacon signal, such that the signal strength of the same size is measured within a considerable distance between 5m and 10m. There is a problem that the measurement error is very large.

Korea Patent Publication No. 10-1736158 (announced on May 17, 2017) Korea Patent Publication No. 10-1695904 (January 16, 2017) Korean Patent Publication No. 10-2016-0127881 (Nov. 2016)

In solving the above-described problems, an object of the present invention is to process a received signal strength indicator (RSSI) value of a beacon signal by deriving a plurality of correlation variable data values, and then using the correlation of these values. It is to provide a beacon-based industrial site safety management system that enables more accurate collision risk determination.

In addition, an object of the present invention is to provide a beacon-based industrial site safety management system that enables a collision risk warning in a faster time by determining the risk collision based on the algorithm generated by the decision tree structure.

In addition, an object of the present invention is to provide a beacon-based industrial site safety management system configured to apply power only when the operation of dangerous goods or workers to maximize power efficiency.

Beacon-based industrial site safety management system according to an embodiment of the present invention, by inputting the beacon-based first transceiver and the signal data received at a predetermined time interval from the first transceiver to a predetermined collision risk determination algorithm At least one dangerous goods module including a first control unit for determining a collision risk and a first output unit configured to output a collision risk warning when a collision risk is detected from the first control unit; And a second controller configured to determine a collision risk by comparing the beacon-based second transceiver and the signal data received at the second transceiver to a predetermined collision risk determination algorithm, from the second controller. At least one worker module including a second output unit configured to output a collision risk warning when a collision risk is detected, wherein the first control unit and the second control unit are configured to respectively include the first transceiver and the second controller. The maximum value of the received signal strength (RSSI) value of the signal data received by the transceiver, the average value of the received signal strength (RSSI) value including the previous multiple times, and the maximum value of the received signal strength (RSSI) value including the previous multiple times And using a plurality of variable values including at least a number of times a trigger value is exceeded among received signal strength (RSSI) values including a plurality of previous times as data values. Converting the foundation value as the index data having a value interval and the group input to the decision tree structure of the risk judgment algorithm input is characterized in that to determine whether collision risk.

In this case, the first transceiver and the second transceiver are preferably configured to transmit signal data of the same transmission intensity.

In this case, the preset collision risk determination algorithm of the first control unit and the second control unit, using one of two beacon-based transceivers having the same transmission and reception function as the first transceiver and the second transceiver. It is created by setting the sending reference device and setting the other as the receiving reference device, changing the separation distance between the two transceivers, collecting data and processing and correlating the collected data. The received signal strength (RSSI) value, the average value of the received signal strength (RSSI) value including the previous multiple times, the maximum value of the received signal strength (RSSI) value including the previous multiple times, and the previous multiple times Each data value is input as index data having a section value by using the number of times that the trigger value exceeds the trigger value among RSSI values included as a data value, and then According to the separation distance between two novelties, enter the collision risk corresponding or not as the number data of the collision risk cases, and the data combination of the distance data for each time, the index data, and the number of collision risk cases data. It is preferably produced by structuring.

The first transceiver and the second transceiver are preferably configured to transmit beacon identification information in the signal data.

In this case, it is preferable that the first control unit and the second control unit respectively control the first output unit and the second output unit to output a collision risk warning including target collision risk object information based on beacon identification information. Do.

On the other hand, the dangerous goods module may be configured to further include a first motion detection unit for detecting whether the dangerous goods to install the dangerous goods module.

In this case, the dangerous goods module is preferably configured such that power is applied only when the dangerous goods to which the dangerous goods module is installed is detected by the first motion detecting unit.

On the other hand, the worker module may be configured to further include a second motion detection unit for detecting the operation of the worker is installed the worker module.

In this case, the worker module is preferably configured such that power is applied only when the operation of the worker in which the worker module is installed is detected by the second motion detection unit.

The first motion detection unit or the second motion detection unit may be configured to include a gyro sensor.

As described above, the beacon-based industrial site safety management system according to the present invention processes the received signal strength indicator (RSSI) value of the beacon signal by time to derive a plurality of correlation variable data values, The use of correlations allows for more accurate collision risk determination.

In addition, the beacon-based industrial site safety management system according to the present invention enables a collision risk warning in a shorter time by determining whether a dangerous collision is based on an algorithm generated by structured a decision tree.

In addition, the beacon-based industrial site safety management system according to the present invention is configured to apply power only during the operation of dangerous goods or workers to maximize power efficiency.

1 is a block diagram of a beacon-based industrial site safety management system according to an embodiment of the present invention.
2 is a flowchart illustrating a collision risk determination method of a beacon-based industrial site safety management system according to an embodiment of the present invention.
3 is a flowchart illustrating a process of generating a collision risk determination algorithm used in a beacon-based industrial site safety management system according to an embodiment of the present invention.
FIG. 4 is a diagram for describing data collection and indexing operations used in the generation process of the algorithm of FIG. 3.

The accompanying drawings in the present invention may be shown in an exaggerated representation for the purpose of differentiation and clarity from the prior art, and the convenience of technology grasp. In addition, terms to be described later are defined in consideration of functions in the present invention, and may vary according to a user's or operator's intention or custom, and definitions of these terms should be made based on technical contents throughout this specification. will be. On the other hand, the embodiments are merely illustrative of the components set forth in the claims of the present invention, and are not intended to limit the scope of the invention, the scope of the rights should be interpreted based on the technical idea throughout the specification of the present invention. .

1 is a block diagram of a beacon-based industrial site safety management system according to an embodiment of the present invention, Figure 2 is a collision risk determination method of a beacon-based industrial site safety management system according to an embodiment of the present invention 3 is a flowchart illustrating a generation process of a collision risk determination algorithm used in a beacon-based industrial site safety management system according to an embodiment of the present invention, and FIG. 4 is a flowchart illustrating the algorithm of FIG. A diagram for describing data collection and indexing operations used in the generation process.

Hereinafter, a beacon-based industrial site safety management system according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 4.

Beacon-based industrial site safety management system according to an embodiment of the present invention is configured to include a dangerous goods module 10 and the worker module 20.

The dangerous goods module 10 includes dangerous goods 1 (as described above, including heavy equipment such as a forklift truck, and is defined as a concept encompassing both a mobile type and a stationary type. And the like may correspond to dangerous goods.) At least one or more are provided in an industrial site.

The dangerous goods module 10 includes a first transceiver 11, a first controller 12, and a first output unit 13. In addition, the dangerous goods module 10 may be configured to further include a first motion detection unit (14).

The first transceiver 11 performs a beacon-based communication function. More preferably, the first transceiver 11 may be a short range wireless communication signal transceiver implemented based on Bluetooth 4.0 Low Energy (LE). Unlike Bluetooth 3.0, Bluetooth 4.0 has the advantage of not needing pairing. In addition, power consumption is very low and the price is low, it can be built at a low cost.

At this time, the first transceiver 11 is preferably configured to transmit signal data including beacon identification information in addition to the transmission strength information in the signal data. In this case, the beacon identification information may be information including identification information of the particular dangerous goods on which the dangerous goods module 10 is installed and individual identification information (manufacturer, beacon type, and manufacturing number) of the first transceiver 11. .

On the other hand, the first transceiver 11 is preferably configured to transmit signal data of the same transmission intensity as the second transceiver 21 of the operator module 20.

The signal data received by the first transceiver 11 at predetermined time intervals may be signal data received by another dangerous goods module 10 or the worker module 20.

The first controller 12 determines whether a collision risk exists by inputting signal data received at the first transceiver 11 at predetermined time intervals into a preset collision risk determination algorithm.

More specifically, the first control unit 12 includes a received signal strength (RSSI) value of the signal data received by the first transceiver 11 at a specific time and a received signal strength (RSSI) including a plurality of previous times. Trigger value among the average value AVG, the maximum value MAX of the received signal strength (RSSI) including previous multiple times, and the received signal strength RSSI value including the previous multiple times The decision tree structure of the risk determination algorithm is inputted by converting each data value into index data having an interval value using a plurality of variable values including at least a trigger value as a data value. It is characterized by determining in real time whether the risk of collision by a specific time by inputting in.

That is, as shown in FIG. 2, when signal data is received from the first transceiver 11 at a specific time (step S1), the first controller 12 receives a received signal strength (RSSI) of the received signal data. The variable data value (AVG; Average) of the received signal strength (RSSI) value including the previous multiple times, and the maximum value (MAX; Maximum) of the received signal strength (RSSI) value including the previous multiple times ) And a number of times (COU; Count) exceeding a trigger value among received signal strength (RSSI) values including a plurality of previous times (step S2), and each data value (four in total) is indexed by four index data. After indexing (step S3), input the decision tree structure of the risk determination algorithm (step S4) to determine whether there is a collision risk (step S5), and if there is a collision risk, the first output unit 13 Instructs the user to output a collision risk warning (step S6) in real time to determine whether there is a risk of collision. To judge.

Here, the collision risk determination method of the first control unit 12 has been described with respect to one sensing object (one of the other dangerous object module 10 or one of the worker module 20), but also for the other sensing object. Of course, the same risk determination can be performed.

In this case, it is more preferable that the first control unit 12 is configured in such a manner as to control the first output unit 13 to output a collision risk warning including target collision risk object information based on the beacon identification information. . For example, when the first output unit 13 outputs a collision danger signal, the first control unit 12 may include a sensing object (one of the other dangerous goods modules 10 or one of the worker modules 20). ) May be configured in such a way as to control the warning of a collision risk while visually and / or audibly notifying the installed worker (or forklift) information.

On the other hand, the process of converting each data value into the index data having the interval value is the same as described in the creation process of the collision risk determination algorithm, so the detailed description thereof will be omitted.

Hereinafter, a process of generating a collision risk determination algorithm will be described with reference to FIGS. 3 and 4.

The preset collision risk determination algorithm of the first controller 12 sets one of the beacons as a reference apparatus using two beacon-based transceivers having the same transmission and reception functions as the first transceiver 11. After setting the other as the receiving side reference device (step S10), it is generated by changing the separation distance between the two transceivers and collecting data to process and correlate the collected data.

In this case, the collision risk determination algorithm may include the received signal strength (RSSI) value at the receiving device, the average value of the received signal strength (RSSI) value including the previous multiple times, and the received signal strength (including the previous multiple times). Each data value is input as index data having a section value using the maximum value of the RSSI) value and the number of times the trigger value is exceeded among the received signal strength (RSSI) values including a plurality of previous times as data values, and transceiver 2 According to the separation distance between each other, it is preferable to generate the collision risk corresponding or not as the number data of the collision risk case and to generate a combination of four index data and the data of the number of collision risk cases in the decision tree structure. .

More specifically, the preset collision risk determination algorithm processes the received signal strength (RSSI) value of the received signal data and averages the variable data value (AVG; Average of the received signal strength (RSSI) value including a plurality of previous times). ), The maximum value MAX of the received signal strength (RSSI) value including the previous multiple times, and the number of times the trigger value exceeds the trigger value among the received signal strength (RSSI) values including the previous multiple times (COU; Count) In this case, a total of five data values including the four data values and the corresponding separation distance value are collected for each time.

Subsequently, four index data and number data of a collision risk case are generated using the four data values and corresponding distance values collected for each time point (step S30).

For example, as shown in FIG. 4, the received signal strength (RSSI) value is index A (having six sections A1-A6, and the range of -99 dBm or more and -70 dBm or less is divided into six sections). The average value (AVG) of four consecutive received signal strength (RSSI) values and the received signal strength (RSSI) value at the present time is represented by index B (B1-B6 six sections), which is -99 dBm or more and -70 dBm or less. The range is divided into 6 sections), and the maximum value (MAX; Maximum) of the previous four consecutive received signal strength (RSSI) values and the received signal strength (RSSI) value at the present time is index C (C1-C). C6 It has 6 sections and is divided into 6 sections by dividing the range between -99dBm and below -70dBm into 6 sections), and the previous four consecutive received signal strength (RSSI) values and received signal strength (RSSI) values at the present time. Number of times (COU; Count) that exceeds the trigger value (for example, 80dBm) among the index D (D1-D6 6 values, an integer from 0 to 5) Is divided into two cases based on whether or not the separation distance value is less than or equal to a predetermined collision danger distance (e.g., 5 m), and the number data for the collision risk case (e.g., the separation distance value is 5 m or less) YES, NO if greater than 5 m (number data in the case of collision risk eventually becomes data that determines whether or not a collision risk alert is issued).

A collision risk determination algorithm is generated by analyzing a correlation between the 'four index data' generated as described above and 'number data in case of collision risk' and constructing a decision tree (step S40).

Based on the collision risk determination algorithm, the first control unit 12 receives the received signal strength (RSSI) value and the variable data value (previous multiple times) based on the signal data received from the first transceiver 11 at a specific time. An average value (AVG) of received signal strength (RSSI) values, a maximum value (MAX) of received signal strength (RSSI) values including previous multiple times, and a received signal strength including multiple previous times Among the (RSSI) values, COU (Count) is generated, and each data value (four in total) is indexed with four index data (the index interval should be the same as the collision risk determination algorithm). It is then input to the decision tree structure of the risk determination algorithm, and it is determined whether to output a collision risk warning according to the result data of the number of collision risk cases. Accordingly, the beacon-based industrial site safety management system according to the embodiment of the present invention derives the correlation variable data values and then uses the correlation of these values to enable more accurate collision risk determination, as well as the decision tree. The collision risk warning can be made faster by determining whether a dangerous collision is made based on the structured algorithm.

The first output unit 13 outputs a collision risk warning when a collision risk is detected from the first control unit 12.

The first output unit 13 may be a buzzer or a speaker, and may further include a display device.

The first output unit 13, the first control unit 12 controls the first output unit 13 to output a collision risk warning including the target collision risk object information based on the beacon identification information When configured as, it may be implemented to visually display the information of the target collision risk object or to notify the voice output method.

The first motion detection unit 14 detects the operation of the dangerous goods in which the dangerous goods module 10 is installed. In this case, the first motion detection unit 14 may be configured to include a gyro sensor.

In this case, the dangerous goods module 10 is preferably configured such that power is applied only when the operation of the dangerous goods 1 in which the dangerous goods module is installed is detected by the first motion detecting unit 14. Accordingly, the beacon-based industrial site safety management system according to an embodiment of the present invention will maximize the power efficiency.

The worker module 20 is configured to be installed in the worker 1, is provided with at least one in the industrial site.

The worker module 20 includes a second transceiving unit 21, a second control unit 22, and a second output unit 23. In addition, the operator module 20 may further include a second motion detection unit 24.

In this case, the second transceiver 21, the second controller 22, and the second output unit 23 are the first transceiver 11 and the first controller 12, respectively. ), The first output unit 13, and the first motion detection unit 14, and their functions are also the same. Hereinafter, although there are some overlapping portions, the overlapping portions will not be omitted for clarity of the present invention.

The second transceiver 21 performs a beacon-based communication function. More preferably, the second transceiver 21 may be a short range wireless communication signal transceiver implemented based on Bluetooth 4.0 Low Energy (LE). Unlike Bluetooth 3.0, Bluetooth 4.0 has the advantage of not needing pairing. In addition, power consumption is very low and the price is low, it can be built at a low cost.

In this case, the second transceiver 21 is preferably configured to transmit the signal data including beacon identification information in addition to the transmission strength information in the signal data. In this case, the beacon identification information includes the identification information (name, company number) of the particular worker is installed the worker module 20 and the individual identification information (manufacturer, beacon type, manufacturing number) of the second transceiver 21 May be information.

On the other hand, the second transceiver 21 is preferably configured to transmit the signal data of the same transmission intensity as the second transceiver 21 of the dangerous goods module 20.

The signal data received by the second transceiver 21 at predetermined time intervals may be signal data received by another worker module 20 or the worker module 20.

The second controller 22 determines whether a collision risk is input by inputting signal data received by the second transceiver 21 at predetermined time intervals into a preset collision risk determination algorithm.

More specifically, the second control unit 22 includes a received signal strength (RSSI) value of the signal data received by the second transceiver 21 at a specific time and a received signal strength (RSSI) including a plurality of previous times. Trigger value among the average value AVG, the maximum value MAX of the received signal strength (RSSI) including previous multiple times, and the received signal strength RSSI value including the previous multiple times By converting each data value into index data having an interval value by using a plurality of variable values including at least a count value exceeding a trigger value as a data value, the COU (Count) Input to the decision tree structure to determine in real time whether the risk of a particular time collision.

That is, as shown in FIG. 2, when the signal data is received from the second transceiver 21 at a specific time (step S1), the second controller 22 receives the received signal strength (RSSI) of the received signal data. The variable data value (AVG; Average) of the received signal strength (RSSI) value including the previous multiple times, and the maximum value (MAX; Maximum) of the received signal strength (RSSI) value including the previous multiple times ) And a number of times (COU; Count) exceeding a trigger value among received signal strength (RSSI) values including a plurality of previous times (step S2), and each data value (four in total) is indexed by four index data. After indexing (step S3), input the decision tree structure of the risk determination algorithm (step S4) to determine whether there is a collision risk (step S5), and if there is a collision risk, the second output unit 23. Instructs the user to output a collision risk warning (step S6) in real time to determine whether there is a risk of collision. To judge.

Here, the collision risk determination method of the second control unit 22 has been described with respect to one sensing object (one of the other worker module 20 or one of the dangerous object module 20), but also for the other sensing object. Of course, the same risk determination can be performed.

In this case, it is more preferable that the second control unit 22 is configured in such a manner as to control the second output unit 23 to output a collision danger warning including target collision danger object information based on the beacon identification information. . For example, when the second output unit 23 outputs a collision danger signal, the second control unit 22 may include one of the sensing objects (one of the other worker modules 20 or one of the dangerous goods modules 20). ) May be configured in such a way that the forklift (or worker) information installed is controlled to warn of the risk of collision while visually and / or audibly informing.

On the other hand, the process of converting each data value into the index data having the interval value is the same as described in the creation process of the collision risk determination algorithm, so the detailed description thereof will be omitted.

Hereinafter, a process of generating a collision risk determination algorithm will be described with reference to FIGS. 3 and 4.

The preset collision risk determination algorithm of the second control unit 22 sets two of the beacon-based transceivers having the same transmission / reception function as the second transmission / reception unit 21 as a transmitter side reference device. After setting the other as the receiving side reference device (step S10), it is generated by changing the separation distance between the two transceivers and collecting data to process and correlate the collected data.

In this case, the collision risk determination algorithm may include the received signal strength (RSSI) value at the receiving device, the average value of the received signal strength (RSSI) value including the previous multiple times, and the received signal strength (including the previous multiple times). Each data value is input as index data having a section value using the maximum value of the RSSI) value and the number of times the trigger value is exceeded among the received signal strength (RSSI) values including a plurality of previous times as data values, and transceiver 2 According to the separation distance between each other, it is preferable to generate the collision risk corresponding or not as the number data of the collision risk case and to generate a combination of four index data and the data of the number of collision risk cases in the decision tree structure. .

More specifically, the preset collision risk determination algorithm processes the received signal strength (RSSI) value of the received signal data and averages the variable data value (AVG; Average of the received signal strength (RSSI) value including a plurality of previous times). ), The maximum value MAX of the received signal strength (RSSI) value including the previous multiple times, and the number of times the trigger value exceeds the trigger value among the received signal strength (RSSI) values including the previous multiple times (COU; Count) In this case, a total of five data values including the four data values and the corresponding separation distance value are collected for each time.

Subsequently, four index data and number data of a collision risk case are generated using the four data values and corresponding distance values collected for each time point (step S30).

For example, as shown in FIG. 4, the received signal strength (RSSI) value is index A (having six sections A1-A6, and the range of -99 dBm or more and -70 dBm or less is divided into six sections). The average value (AVG) of four consecutive received signal strength (RSSI) values and the received signal strength (RSSI) value at the present time is represented by index B (B1-B6 six sections), which is -99 dBm or more and -70 dBm or less. The range is divided into 6 sections), and the maximum value (MAX; Maximum) of the previous four consecutive received signal strength (RSSI) values and the received signal strength (RSSI) value at the present time is index C (C1-C). C6 It has 6 sections and is divided into 6 sections by dividing the range between -99dBm and below -70dBm into 6 sections), and the previous four consecutive received signal strength (RSSI) values and received signal strength (RSSI) values at the present time. Number of times (COU; Count) that exceeds the trigger value (for example, 80dBm) among the index D (D1-D6 6 values, an integer from 0 to 5) Is divided into two cases based on whether or not the separation distance value is less than or equal to a predetermined collision danger distance (e.g., 5 m), and the number data for the collision risk case (e.g., the separation distance value is 5 m or less) YES, NO if greater than 5 m (number data in the case of collision risk eventually becomes data that determines whether or not a collision risk alert is issued).

A collision risk determination algorithm is generated by analyzing a correlation between the four index data generated as described above and the number data of a collision risk case by constructing a decision tree (step S40).

Based on the collision risk determination algorithm, the second control unit 22 generates a received signal strength (RSSI) value and a variable data value (previous multiple times) based on the signal data received from the first transceiver 11 at a specific time. An average value (AVG) of received signal strength (RSSI) values, a maximum value (MAX) of received signal strength (RSSI) values including previous multiple times, and a received signal strength including multiple previous times Among the (RSSI) values, COU (Count) is generated, and each data value (four in total) is indexed with four index data (the index interval should be the same as the collision risk determination algorithm). It is then input to the decision tree structure of the risk determination algorithm, and it is determined whether to output a collision risk warning according to the result data of the number of collision risk cases. Accordingly, the beacon-based industrial site safety management system according to the embodiment of the present invention derives the correlation variable data values and then uses the correlation of these values to enable more accurate collision risk determination, as well as the decision tree. The collision risk warning can be made faster by determining whether a dangerous collision is made based on the structured algorithm.

The second output unit 23 serves to output a collision risk warning when the collision risk is detected from the second control unit 22.

The second output unit 23 may be a buzzer or a speaker, and may further include a display device.

The second output unit 23 controls the second control unit 22 to output the collision risk warning including the target collision risk object information based on the beacon identification information. When configured as, it may be implemented to visually display the information of the target collision risk object or to notify the voice output method.

The second motion detection unit 24 serves to detect the operation of the dangerous goods in which the dangerous goods module 20 is installed. In this case, the second motion detection unit 24 may be configured to include a gyro sensor.

In this case, the worker module 20 is preferably configured such that power is applied only when the operation of the worker 2 in which the dangerous goods module is installed is detected by the second motion detection unit 24. Accordingly, the beacon-based industrial site safety management system according to an embodiment of the present invention will maximize the power efficiency.

As described above, the beacon-based industrial site safety management system according to the present invention enables more accurate collision risk determination, effective real-time collision risk warning through faster operation, and maximizes power efficiency.

As described above, the present invention has been described with reference to the embodiments shown in the drawings, which are merely exemplary, and various modifications and equivalent other embodiments are possible based on common knowledge in the art. Should understand. Therefore, the true technical protection scope of the present invention by the claims to be described below, should be determined based on the specific content of the invention described above.

The present invention relates to a beacon-based industrial site safety management system, and can be used in industrial fields related to the safety of various industrial sites.

1: dangerous goods
2: worker
10: Dangerous Goods Module
11: first transceiver
12: first control unit
13: first output
14: first motion detection unit
20: worker module
21: second transceiver
22: second control unit
23: second output unit
24: second motion detection unit

Claims (10)

A beacon-based first transceiver, a first controller configured to determine whether a collision risk is input by inputting signal data received at a predetermined time interval from the first transceiver, and a collision risk from the first controller; At least one dangerous goods module including a first output unit configured to output a collision danger warning when a danger is detected; And
A second beacon-based second transceiver, a second controller that determines whether a collision risk is compared to a signal collision received by the second transceiver at predetermined time intervals, and a collision from the second controller; At least one operator module including a second output unit configured to output a collision risk warning when a danger is detected;
Including,
The first control unit and the second control unit,
Received signal strength (RSSI) value of the signal data received by the first transceiver and the second transceiver for each specific time, the average value of the received signal strength (RSSI) value including previous multiple times, and previous multiple times Each of the plurality of variable values including at least a maximum value of a received signal strength (RSSI) value and a number of times a trigger value is exceeded from a received signal strength (RSSI) value including a plurality of previous times is used as a data value. And converting the data value into index data having a section value and inputting it into a decision tree structure of a pre-entered risk determination algorithm to determine whether there is a risk of collision in real time.
The first transceiver and the second transceiver,
Characterized in that to transmit the signal data of the same transmission intensity,
The preset collision risk determination algorithm of the first controller and the second controller,
After setting two of the beacon-based transceivers having the same transmission and reception functions as the first transceiver and the second transceiver, one of them is set as the transmission side reference device and the other is set as the reception side reference device. It is created by changing the separation distance between the dogs and collecting the data to process and correlate the collected data.
The maximum value of the received signal strength (RSSI) value at the receiving device, the average value of the received signal strength (RSSI) value including the previous multiple times, the maximum value of the received signal strength (RSSI) value including the previous multiple times, and Each data value is input as index data having a section value by using the number of times exceeding a trigger value among received signal strength (RSSI) values including a plurality of times as a data value,
Depending on the separation distance between the two transceivers, enter whether or not the collision risk data is the number of collision risk cases,
A beacon-based industrial site safety management system, which is generated by constructing a decision tree structure of data consisting of four index data and the number of collision risk data.
delete delete The method of claim 1, wherein the first transceiver and the second transceiver,
Beacon-based industrial site safety management system, characterized in that the transmission including the beacon identification information in each signal data.
The method of claim 4, wherein the first control unit and the second control unit,
A beacon-based industrial site safety management system, characterized in that for controlling the first output unit and the second output unit to output a collision risk warning including target collision risk object information based on the beacon identification information, respectively.
According to claim 1, The dangerous goods module,
Beacon-based industrial site safety management system characterized in that it further comprises a first motion detection unit for detecting the operation of the dangerous goods, the dangerous goods module is installed.
According to claim 6, The dangerous goods module,
Beacon-based industrial site safety management system, characterized in that the power is applied only when the motion of the dangerous goods is installed by the first motion detection unit is detected.
The method of claim 1, wherein the worker module,
Beacon-based industrial site safety management system characterized in that it further comprises a second motion detection unit for detecting whether or not the operation of the worker module is installed.
The method of claim 8, wherein the worker module,
Beacon-based industrial site safety management system, characterized in that the power is applied only when the operation of the operator is installed the worker module is detected by the second motion detection unit.
The method of claim 6 or 9, wherein the first motion detection unit or the second motion detection unit,
Beacon-based industrial site safety management system comprising a gyro sensor.

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