KR102690301B1 - System and method for monitoring and diagnosing slope state of smart pole - Google Patents

Abstract

This relates to a system and method for monitoring and diagnosing the inclination state of a smart pole, detecting acceleration values in each of the x-axis direction, y-axis direction, and z-axis direction set arbitrarily for the smart pole, and detecting the acceleration value in the x-axis direction and the y-axis direction. By calculating the displacement of the smart pole using the sum of the acceleration value and the acceleration value in the z-axis direction and diagnosing the inclination state of the smart pole based on the smart pole displacement amount, it is possible to provide very high accuracy tilt monitoring and diagnosis results of the smart pole. You can.

Description

Smart pole slope state monitoring and diagnosis system and method {System and method for monitoring and diagnosing slope state of smart pole}

This relates to a system and method for monitoring and diagnosing the tilt state of pole-shaped road facilities such as smart poles.

Smart poles integrate the functions of various pole-shaped road facilities such as street lights, traffic lights, and electric poles, and provide various ICT (Information and Communications) services such as public Wi-Fi, IOT (Internet of Things), intelligent CCTV, electric charging, and autonomous driving. Technologies) refers to the core infrastructure of smart cities that combines technologies to increase the competitiveness of cities and help citizens lead safer and more comfortable lives. Recently, the installation of smart poles has been increasing throughout the city.

However, even though we have entered the era of smart cities that prioritize the safety of citizens, accidents involving various pole-shaped road facilities such as street lights, traffic lights, and electric poles are occurring periodically. In particular, when a pole-shaped road facility is slightly tilted to a degree that is difficult to determine with the naked eye of the worker, safety accidents in which workers fall while working on the road facility and suffer serious injury or death frequently occur.

Republic of Korea Patent No. 10-2358224, “Electric pole tilt and power outage monitoring system and method,” discloses a technology that uses a gyro sensor to notify a dangerous situation when the tilt of a utility pole exceeds a dangerous angle. According to this prior art, the tilt of the utility pole is detected differently depending on the installation position of the gyro sensor, so the accuracy of detecting the tilt of the pole may be reduced, and if the pole is slightly tilted to a degree that is difficult to determine with the naked eye of the operator, it is difficult to diagnose the risk. There is a problem.

Not only can it provide very high accuracy smart pole tilt monitoring and diagnosis results, but it also provides a smart pole tilt condition monitoring and diagnosis system and method that can prevent accidents caused by smart pole tilt, which is difficult to determine with the operator's naked eye. It's about doing it. It is not limited to the technical challenges as described above, and other technical challenges may be derived from the description below.

The smart pole inclination condition monitoring and diagnosis system according to one aspect of the present invention is installed on a smart pole installed upright on the ground and detects acceleration values in each of the x-axis direction, y-axis direction, and z-axis direction set arbitrarily for the smart pole, and , a smart pole terminal that calculates the displacement amount of the smart pole using the sum of the detected acceleration value in the x-axis direction, the acceleration value in the y-axis direction, and the acceleration value in the z-axis direction; And a server that receives displacement data indicating the displacement amount of the smart pole calculated by the smart pole terminal from the smart pole terminal, and diagnoses the inclination state of the smart pole based on the smart pole displacement amount indicated by the received displacement data. Includes.

The smart pole terminal includes a tri-axial acceleration sensor that detects acceleration values in each of the x-axis, y-axis, and z-axis directions; And from the sum of the detected acceleration value in the x-axis direction, acceleration value in the y-axis direction, and acceleration value in the z-axis direction, the initial acceleration value in the x-axis direction, the initial acceleration value in the y-axis direction, and the acceleration in the z-axis direction It may include a displacement calculation unit that subtracts the sum of the initial values and calculates the displacement of the smart pole using the subtraction result.

The displacement amount calculation unit may calculate the absolute value of the subtracted result as the displacement amount of the smart pole.

The smart pole terminal calculates the average of the plurality of x-axis acceleration values first detected by the three-axis acceleration sensor as the initial acceleration value in the x-axis direction, and the plurality of y-axis directions first detected by the three-axis acceleration sensor. Initial value calculation for calculating the average of acceleration values as the initial value of acceleration in the y-axis direction and calculating the average of a plurality of acceleration values in the z-axis direction initially detected by the tri-axis acceleration sensor as the initial value of acceleration in the z-axis direction. It can include more wealth.

The server can diagnose the inclination state of the smart pole according to which displacement size section of the plurality of displacement size sections the displacement size of the smart pole calculated by the smart pole terminal belongs to.

The server accumulates the smart pole displacement amount represented by the received displacement data to at least one smart pole displacement amount represented by at least one displacement data received before the reception point, thereby creating a displacement amount accumulation list consisting of a plurality of smart pole displacement amounts. A displacement accumulation unit to generate; And it may include a diagnosis unit that diagnoses the tilt state of the smart pole based on the displacement accumulation list generated by the displacement accumulation unit.

The server divides the displacement accumulation list generated by the displacement accumulation unit into certain time intervals and extracts the minimum value for each divided time interval, thereby generating a minimum value accumulation list consisting of a plurality of minimum values. It may further include that the diagnosis unit may diagnose that the tilt state of the smart pole is at a potential risk of falling depending on whether the plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulator have an increasing trend.

The server divides the displacement accumulation list generated by the displacement accumulation unit into certain time intervals and extracts the minimum value for each divided time interval, thereby generating a minimum value accumulation list consisting of a plurality of minimum values. It further includes: the diagnosis unit calculates an average deviation of a plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulator, and depending on the size of the calculated average deviation, the tilt state of the smart pole is adjusted to a potential fall risk. It can be diagnosed that there is

The diagnosis unit may diagnose that the tilt state of the smart pole is at a potential risk of falling if the calculated average deviation is greater than the reference value and the smallest value among the plurality of minimum values in the minimum value accumulation list is greater than the threshold value.

The smart pole includes a lower pole installed upright on the ground, a crossbar installed horizontally with respect to the ground, a multi-connector connecting the lower pole and the crossbar, and a communication box mounted on the multi-connector, and the smart pole The poll terminal may be built inside the communication enclosure.

A smart pole tilt condition monitoring and diagnosis method according to another aspect of the present invention includes the steps of detecting accelerations in each of the x-axis direction, y-axis direction, and z-axis direction set arbitrarily for a smart pole installed upright on the ground; Calculating the displacement amount of the smart pole using the sum of the detected acceleration value in the x-axis direction, the acceleration value in the y-axis direction, and the acceleration value in the z-axis direction; Receiving displacement data indicating the calculated displacement amount of the smart pole; And it may include diagnosing the tilt state of the smart pole based on the smart pole displacement amount indicated by the received displacement data.

Detects acceleration values in each of the x-axis, y-axis, and z-axis directions that are arbitrarily set for the smart pole, and uses the sum of the acceleration values in the x-axis direction, the acceleration value in the y-axis direction, and the acceleration value in the z-axis direction. By calculating the displacement of the smart pole and diagnosing the tilt state of the smart pole based on the smart pole displacement, very high accuracy tilt monitoring and diagnosis results of the smart pole can be provided. In particular, even if the three-axis acceleration sensor is installed in any direction, it does not affect the accuracy of the tilt monitoring diagnosis of the smart pole, so very high accuracy tilt monitoring diagnosis results of the smart pole 100 can be provided.

By diagnosing the inclination state of the smart pole depending on which displacement size section the smart pole's displacement size belongs to among multiple displacement size sections, the diagnosis result showing the degree of shaking of the smart pole that is formed differently depending on typhoon, strong wind, weak wind, etc. can be provided. Diagnosis that indicates that the tilt state of the smart pole is at a potential risk of falling by extracting the minimum value for each time period from the cumulative displacement list consisting of multiple smart pole displacement amounts and creating a cumulative minimum value list consisting of multiple minimum values. Results can be provided.

In this way, since diagnostic results indicating the degree of shaking of the smart pole can be provided, accidents caused by shaking of the smart pole can be prevented during facility installation work or maintenance work on the smart pole. As diagnostic results indicating that the tilt state of the smart pole poses a potential risk of falling can be provided, the risk of falling of the smart pole can be notified during facility installation or maintenance work on the smart pole. It is possible to prevent accidents caused by tilting of the smart pole, which is difficult to determine with the naked eye of the worker. It is not limited to the effects as described above, and other effects may be derived from the following description.

Figure 1 is a configuration diagram of a smart pole 100 according to an embodiment of the present invention.
Figure 2 is an enlarged view of the multi-connector 120 and communication enclosure 150 shown in Figure 1.
Figure 3 is a configuration diagram of a smart pole tilt state monitoring and diagnosis system according to an embodiment of the present invention.
Figure 4 is a configuration diagram of the smart pole terminal 10 shown in Figures 1 to 3.
Figure 5 is a flowchart of a method for monitoring and diagnosing the tilt state of the smart pole on the side of the smart pole terminal 10 shown in Figure 4.
Figure 6 is an example of shaking of the smart pole terminal 10 when the smart pole 100 shown in Figure 1 is normally upright.
FIG. 7 is a configuration diagram of the server 20 shown in FIG. 3.
Figures 8 and 9 are flowcharts of the smart pole tilt state monitoring and diagnosis method on the server 20 side shown in Figure 7.
FIG. 10 is an example diagram of a displacement accumulation list generated by the displacement accumulation unit 22 shown in FIG. 7 .
FIG. 11 is an example diagram of a minimum value accumulation list generated by the minimum value accumulation unit 23 shown in FIG. 7.
Figure 12 is an example of shaking of the smart pole terminal 10 when the smart pole 100 shown in Figure 1 is tilted.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The embodiment of the present invention, which will be described below, is a smart pole that can not only provide very high accuracy tilt monitoring and diagnosis results of the smart pole, but also prevent accidents caused by the tilt of the smart pole, which is difficult to determine with the naked eye of the operator. It relates to a pole tilt condition monitoring and diagnosis system and method. Hereinafter, these smart pole tilt state monitoring and diagnosis systems and methods will be briefly referred to as “smart pole tilt state monitoring and diagnosis system” and “smart pole tilt state monitoring and diagnosis method.”

Figure 1 is a configuration diagram of a smart pole 100 according to an embodiment of the present invention. Referring to Figure 1, the smart pole 100 according to this embodiment is a pole-shaped road facility installed upright on the ground, such as on the roadside or in the center or one side of the road, and includes a lower support 110 and an upper support 130. , It consists of a multi-connector 120, a crossbar 140, and a communication enclosure 150. The smart pole 100 in this embodiment is a street light, traffic light, security light, electric pole, etc. that has the function of monitoring and diagnosing the tilt state of a pole installed upright on the ground in addition to the smart pole 100 as shown in FIG. It can be a variety of pole-shaped road facilities.

The lower support 110 is formed in the form of a straight pipe with an empty interior and is installed upright on the ground, such as on the side of the road or in the center or one side of the road. The upper support 130 is formed in the form of a straight pipe with an empty interior and is installed upright on the upper side of the lower support 110. The crossbar 140 is formed in the form of a tube with one side bent and the remaining portion straight, and is installed horizontally with respect to the ground. Inside the lower support 110 and the crossbar 140, a cable connected to the road monitoring equipment 141 installed on the crossbar 140 may be placed. A representative example of the road monitoring equipment 141 is a closed circuit television (CCTV) for monitoring road conditions. In addition to the road monitoring equipment 141, a road situation information sign 142 may be installed on the crossbar 140.

The multi-connector 120 serves to connect the lower support 110, the upper support 130, and the crossbar 140. The multi-connector 120 consists of a main rod 121 and a branch rod 122. The main rod 121 is formed in the form of a straight tube with an empty interior, and the upper end of the lower strut 110 is inserted and coupled to the lower end of the main rod 121, and the lower end of the upper strut 130 is inserted to the upper end. are combined. The branch rod 122 is formed in the form of a straight tube with an empty interior, and is integrally coupled so that the upper end faces upward and the lower end is inclined with respect to one side of the main rod 121. The bent end of the cross bar 140 is inserted and coupled to the upper end of the branch bar 122.

Figure 2 is an enlarged view of the multi-connector 120 and communication enclosure 150 shown in Figure 1. In Figure 2 (a), the communication box 150 is shown, and in Figure 2 (b), the multi-connector 120 and the communication box 150 are shown combined. As shown in Figure 2, the communication box 150 is formed in the shape of a square box and is mounted on the multi-connector 120. Inside the communication enclosure 150, a smart pole terminal 10 is built to monitor the tilt state of the smart pole 100. In this way, the smart pole terminal 10 is located inside the communication enclosure 150. In order for the smart pole terminal 10 to accurately monitor the tilt state of the smart pole 100, the communication enclosure 150 must behave integrally with the multi-connector 120 in response to external shocks such as wind and movement of surrounding vehicles. For this purpose, the communication enclosure 150 can be mounted on the multi-connector 120 by being coupled to the side of the multi-connector 120 using bolt coupling, welding coupling, etc.

Figure 3 is a configuration diagram of a smart pole tilt state monitoring and diagnosis system according to an embodiment of the present invention. Referring to FIG. 3, the smart pole tilt state monitoring and diagnosis system according to this embodiment consists of a smart pole terminal 10, a server 20, a fixed terminal 30, and a mobile terminal 40. A plurality of smart pole terminals 10 are installed on a plurality of smart poles 100 scattered throughout the city, monitor the tilt state of the plurality of smart poles 100, and transmit the monitoring results to the server 20. do. The server 20 monitors and diagnoses the tilt state of the plurality of smart poles 100 based on the tilt state of the plurality of smart poles 100 collected from the plurality of smart pole terminals 10.

Each smart pole terminal 10 is installed on each smart pole 100 installed upright on the ground and detects acceleration values in each of the x-axis direction, y-axis direction, and z-axis direction, which are arbitrarily set for each smart pole 100. , the displacement amount of each smart pole 100 is calculated using the sum of the acceleration value in the x-axis direction, the acceleration value in the y-axis direction, and the acceleration value in the z-axis direction detected in this way, and each smart pole calculated in this way ( Displacement data representing the displacement amount of 100) is transmitted to the server 20. The server 20 receives displacement data indicating the displacement amount of the smart pole calculated by the smart pole terminal 10 from the smart pole terminal 10, and bases the smart pole displacement amount indicated by the received displacement data on the smart pole terminal 10. Diagnose the slope condition of (100).

The server 20 outputs the diagnosis result to the smart pole manager and transmits the diagnosis result to the smart pole manager's fixed terminal 30 and mobile terminal 40. Each of the fixed terminal 30 and the mobile terminal 40 is a terminal used by a smart pole manager located remotely from the server 20, and outputs diagnostic results about the tilt state of a plurality of smart poles 100 to the smart pole manager. do. A representative example of the fixed terminal 30 is a PC (Personal Computer), and a representative example of the mobile terminal 40 is a smartphone.

Figure 4 is a configuration diagram of the smart pole terminal 10 shown in Figures 1 to 3. Referring to FIG. 4, the smart pole terminal 10 shown in FIGS. 1 to 3 includes a triaxial acceleration sensor 11, an initial value calculation unit 12, a displacement calculation unit 13, a control unit 14, and a communication unit 15. ), storage (16), and power unit (17). The triaxial acceleration sensor 11 detects acceleration values in each of the x-axis, y-axis, and z-axis directions shown in (a) of FIG. 2 based on the Earth's gravitational acceleration. The acceleration value in the x-axis direction of the triaxial acceleration sensor 11 is proportional to the amount of displacement in the x-axis direction of the triaxial acceleration sensor 11, and the acceleration value in the y-axis direction of the triaxial acceleration sensor 11 is that of the triaxial acceleration sensor 11. It is proportional to the amount of displacement in the y-axis direction, and the acceleration value in the z-axis direction of the triaxial acceleration sensor 11 is proportional to the amount of displacement in the z-axis direction of the triaxial acceleration sensor 11.

The x-axis, y-axis, and z-axis directions of the triaxial acceleration sensor 11 vary depending on the installation posture of the triaxial acceleration sensor 11. Generally, the triaxial acceleration sensor 11 is installed so that its z-axis direction is in the direction of gravity, but it is not easy to install the triaxial acceleration sensor 11 so that the z-axis direction coincides with the gravity direction. Hereinafter, the x-axis direction, y-axis direction, and z-axis direction of the triaxial acceleration sensor 11 will be defined as the x-axis direction, y-axis direction, and z-axis direction of the smart pole 100. As such, the x-axis direction, y-axis direction, and z-axis direction of the smart pole 100 in this embodiment are not the x-axis direction, y-axis direction, and z-axis direction with respect to the ground, but are a smart pole ( 100), the x-axis direction, y-axis direction, and z-axis direction are arbitrarily set according to the installation posture of the triaxial acceleration sensor 11.

The control unit 14 serves to control the operations of each of the initial value calculation unit 12, the displacement calculation unit 13, and the communication unit 15. The communication unit 15 performs communication with the server 20. For example, the communication unit 15 may communicate with the server 20 using a low-level network. The LoRa network is a network that can communicate over long distances with low power, but the data transmission cycle to the server 20 becomes longer. The communication unit 15 can communicate with the server 20 using an Ethernet network. The Ethernet network has the advantage of being able to shorten the data transmission cycle to the server 20, but consumes more power than the roller room.

The power supply unit 17 serves to supply driving power to the triaxial acceleration sensor 11, the initial value calculation unit 12, the displacement calculation unit 13, the control unit 14, and the communication unit 15. The power supply unit 17 may be implemented as a combination of a battery and a voltage converter, or may be implemented as only a voltage converter when using an external power source. The smart pole terminal 10 of this embodiment is designed to be power independent, so the power supply unit 17 is implemented as a combination of a battery and a voltage converter, and in order to lower power consumption, the communication unit 15 is implemented as a loRa communication modem to communicate at 1 hour intervals. Data is transmitted to the server 20. In an environment where the smart pole terminal 10 can use external power, the communication unit 15 may be implemented as an Ethernet communication modem.

Figure 5 is a flowchart of a method for monitoring and diagnosing the tilt state of the smart pole on the side of the smart pole terminal 10 shown in Figure 4. Referring to FIG. 5, the smart pole tilt state monitoring and diagnosis method on the smart pole terminal 10 shown in FIG. 4 consists of the following steps. Hereinafter, the initial value calculation unit 12, the displacement calculation unit 13, and the control unit 14 will be described in detail with reference to FIG. 5. The initial value calculation unit 12, the displacement calculation unit 13, and the control unit 14 may be implemented as a combination of a microprocessor and a program stored in the storage 16.

In step 51, the smart pole terminal 10 is turned on by the user. When the smart pole terminal 10 is turned on, power is supplied to the three-axis acceleration sensor 11, and the three-axis acceleration sensor 11 periodically calculates the acceleration value in the x-axis direction of the smart pole 100 and the smart pole 100. The acceleration value in the y-axis direction and the acceleration value in the z-axis direction of the smart pole 100 are detected. The smart pole terminal 10 is turned on on a clear day with little wind so that the initial value of the triaxial acceleration sensor 11 can be accurately calculated in a normal state where the smart pole 100 is installed and upright.

In step 52, the triaxial acceleration sensor 11 outputs an acceleration value "AX(t)" in the x-axis direction of the smart pole 100 at the current time "t" and an acceleration value "AY" in the y-axis direction of the smart pole 100. (t)", the acceleration value "AZ(t)" in the z-axis direction of the smart pole 100 is detected. The acceleration value "AX(t)" in the x-axis direction of the smart pole 100 is a change in speed in the x-axis direction and is proportional to the amount of displacement in the x-axis direction of the smart pole 100 and the y-axis direction of the smart pole 100. The acceleration value "AY(t)" is a velocity change amount in the y-axis direction and is proportional to the displacement amount in the y-axis direction of the smart pole 100, and the acceleration value "AZ(t)" in the z-axis direction of the smart pole 100. is the amount of change in speed in the z-axis direction and is proportional to the amount of displacement in the z-axis direction of the smart pole 100.

In step 53, the initial value calculation unit 12 calculates the acceleration value “AX(t)” in the x-axis direction of the smart pole 100 detected by the triaxial acceleration sensor 11 in step 52, and the y of the smart pole 100. The acceleration value "AY(t)" in the axial direction and the acceleration value "AZ(t)" in the z-axis direction of the smart pole 100 are input and stored in the storage 16. From the tri-axis acceleration sensor 11 to the initial value calculation unit 12, a plurality of acceleration values in the x-axis direction "AX(t)", acceleration values in the y-axis direction "AY(t)", and acceleration values in the z-axis direction " When "AZ(t)" is input, the storage 16 contains a plurality of acceleration values "AX(t)" in the x-axis direction, acceleration values "AY(t)" in the y-axis direction, and acceleration values "AZ" in the z-axis direction. (t)" is stored cumulatively.

In step 54, the control unit 14 determines the number of detections of the three-axis acceleration sensor 11 from the time of power-on of the smart pole terminal 10, that is, the number of initial detections of the three-axis acceleration sensor 11 in step 52 is a preset number. Check whether “N” has been reached. As a result of the confirmation in step 53, if the initial detection number of the triaxial acceleration sensor 11 reaches the preset number “N”, the process proceeds to step 55, otherwise, the process returns to step 52. If the initial detection number "N" of the triaxial acceleration sensor 11 increases, the accuracy of the initial value of the triaxial acceleration sensor 11 in the normal state of the smart pole 100 can be improved, but the triaxial acceleration sensor 11 If the number of initial detections is too large, it will take a long time to calculate the initial value of the triaxial acceleration sensor 11, and there will be little difference in the initial value.

In step 55, the initial value calculation unit 12 calculates the average of the N x-axis acceleration values "AX(t)" accumulated and stored in the storage 16 in step 53 as the initial value of the Calculate as "AX0", and calculate the average of the N y-axis acceleration values "AY(t)" accumulated and stored in the storage 16 as the initial y-axis acceleration value "AY0" of the smart pole 100, The average of the N z-axis acceleration values “AZ(t)” accumulated and stored in the storage 16 is calculated as the initial z-axis acceleration value “AZ0” of the smart pole 100.

The initial value calculation unit 12 calculates N acceleration values in the By dividing the sum of t ₁ ) to AX (t _N ) by "N", the average acceleration value in the x-axis direction "AX0" is calculated, and the N accelerations in the y-axis direction first detected by the tri-axis acceleration sensor 11 By dividing the value "AY(t)", that is, the sum of AY(t ₁ ) to AY(t _N ) by "N", the average acceleration value "AY0" in the y-axis direction is calculated, and the The acceleration value "AZ(t)" in the z-axis direction of the N smart poles 100 first detected by dividing the sum of AZ(t ₁ ) to AZ(t _N ) by "N" Calculate the average acceleration value “AZ0”.

In step 56, the triaxial acceleration sensor 11 outputs an acceleration value "AX(t)" in the x-axis direction of the smart pole 100 at the current time "t" and an acceleration value "AY" in the y-axis direction of the smart pole 100. (t)", the acceleration value "AZ(t)" in the z-axis direction of the smart pole 100 is detected. Acceleration value “AX(t)” in the x-axis direction of the smart pole 100 detected by the triaxial acceleration sensor 11, acceleration value “AY(t)” in the y-axis direction of the smart pole 100, smart pole The acceleration value "AZ(t)" in the z-axis direction of (100) is input to the displacement calculation unit 13. As steps 56 to 510 are repeated, the detection results of the triaxial acceleration sensor 11 are input to the displacement calculation unit 13 periodically.

In step 57, the displacement calculation unit 13 calculates the acceleration value "AX(t)" in the x-axis direction of the smart pole 100 detected by the triaxial acceleration sensor 11 in step 56 according to the following equation 1, smart pole The acceleration value "AY(t)" in the y-axis direction of (100) and the acceleration value "AZ(t)" in the z-axis direction of the smart pole 100 are added, and in step 55, they are entered into the initial value calculation unit 12. The initial acceleration value in the x-axis direction "AX0", the initial acceleration value in the y-axis direction "AY0", and the initial acceleration value in the z-axis direction "AZ0" calculated by

Subsequently, the displacement calculation unit 13 calculates the acceleration value “AX(t)” in the Acceleration in the x-axis direction calculated by the initial value calculation unit 12 from the sum of the acceleration value "AY(t)" in the y-axis direction and the acceleration value "AZ(t)" in the z-axis direction of the smart pole 100. Subtract the sum of the initial value "AX0", the initial acceleration value in the y-axis direction "AY0", and the initial acceleration value in the z-axis direction "AZ0". Subsequently, the displacement calculation unit 13 calculates the absolute value of the subtracted result as the displacement amount “DS(t)” of the smart pole 100 at the current time “t”.

Figure 6 is an example of shaking of the smart pole terminal 10 when the smart pole 100 shown in Figure 1 is normally upright. In Figure 6 (a), the x-axis direction, y-axis direction, and z-axis direction of the triaxial acceleration sensor 11 when the smart pole 100 is normally upright, that is, the x-axis direction and y direction of the smart pole 100 Typical displacement amounts in the axial and z-axis directions are shown. Figure 6 (b) shows an example of the amount of displacement of the smart pole 100 in the x-axis direction, y-axis direction, and z-axis direction when the smart pole 100 is shaken by wind or the like in a normally upright state. To facilitate understanding of this embodiment, the displacement amounts of the smart pole 100 in the x-axis, y-axis, and z-axis directions are shown in exaggerated form. When the smart pole 100 is shaken by wind, etc., it shakes in the front, back, left, and right directions, and almost no shaking occurs in the height direction. Since the z-axis direction of the smart pole 100 in FIG. 6 is the height direction of the smart pole 100, the amount of displacement is smaller than the x-axis direction and the y-axis direction of the smart pole 100.

As described above, the acceleration values in the x-axis, y-axis, and z-axis directions of the smart pole 100 are a kind of vector value proportional to the displacement amount in the x-axis, y-axis, and z-axis directions. On the other hand, the displacement amount "DS(t)" of the smart pole 100 is the sum of the current acceleration values in the x-axis, y-axis, and z-axis directions of the smart pole 100 and the x-axis, y-axis, and z-axis directions. The acceleration is a kind of scalar value determined by summing the initial values and has no directionality. The displacement amount "DS(t)" of the smart pole 100 has the characteristic of being proportional to the absolute value of the sum of the actual displacement amounts in the x-axis, y-axis, and z-axis directions of the smart pole 100.

In this embodiment, the displacement amount "DS(t)" of the smart pole 100 is the sum of the current acceleration values in the x-axis direction, y-axis direction, and y-axis direction of the smart pole 100 and the x-axis direction, y-axis direction, and y Since the acceleration in the axial direction is calculated from the sum of the initial values, even if the triaxial acceleration sensor 11 is installed in any direction, it does not affect the accuracy of the tilt monitoring diagnosis of the smart pole 100. It is not easy to install the triaxial acceleration sensor 11 so that the x-axis, y-axis, and y-axis directions of the triaxial acceleration sensor 11 are exactly horizontal or perpendicular to the height direction or gravity direction of the smart pole 100. . According to this embodiment, even if the three-axis acceleration sensor 11 is installed in any direction, it does not affect the accuracy of the tilt monitoring diagnosis of the smart pole 100, so the tilt monitoring diagnosis result of the smart pole 100 is very high accuracy. can be provided.

In step 58, the control unit 14 compares the displacement amount “DS(t)” of the smart pole 100 calculated by the displacement amount calculation unit 13 in step 57 with the upper limit value “DSmax” of the displacement amount of the smart pole 100. As a result of the comparison in step 58, if the displacement amount “DS(t)” of the smart pole 100 is greater than the upper limit value “DSmax” of the displacement amount of the smart pole 100, the process proceeds to step 59, otherwise, the process proceeds to step 510. The upper limit value of displacement of the smart pole 100, “DSmax”, refers to the displacement value of the smart pole 100 of a size at which the smart pole 100 can be immediately overturned by a large impact such as a vehicle collision.

In step 59, the control unit 14 immediately sends a displacement calculation unit through the communication unit 15 when it is confirmed that the displacement amount “DS(t)” of the smart pole 100 is greater than the upper limit value “DSmax” of the displacement amount of the smart pole 100. Displacement data representing the displacement amount “DS(t)” of the smart pole 100 calculated by (13) is transmitted to the server 20. When the control unit 14 determines that the displacement amount "DS(t)" of the smart pole 100 is greater than the upper limit value "DSmax" of the smart pole 100, the control unit 14 inserts a code indicating the occurrence of a smart pole overturn event in the displacement data. send.

In step 510, the control unit 14 periodically transmits displacement data representing the displacement amount “DS(t)” of the smart pole 100 calculated by the displacement amount calculation unit 13 to the server 20 through the communication unit 15. do. The control unit 14 checks whether the current time "t" of the displacement amount "DS(t)" of the smart pole 100 calculated by the displacement amount calculation unit 13 has reached the periodic transmission point at a certain time interval, and As a result of confirmation, if the current time "t" of the displacement amount "DS(t)" of the smart pole 100 calculated by the displacement amount calculation unit 13 has reached the periodic transmission point at a certain time interval, the displacement data is transmitted. Data can be transmitted periodically.

For example, the detection results of the three-axis acceleration sensor 11 are input to the displacement calculation unit 13 periodically every minute, and the displacement data is transmitted from the smart pole terminal 10 to the server 20 every hour. If performed periodically, the control unit 14 determines whether the current time "t" of the displacement amount "DS(t)" of the smart pole 100 calculated by the displacement calculation unit 13 has reached the periodic transmission time at 1-hour intervals. By checking, displacement data representing the displacement amount “DS(t)” of the smart pole 100 calculated by the displacement calculation unit 13 is transmitted to the server 20 at 1 hour intervals. When the displacement data transmission in steps 59 and 510 is completed, the process returns to step 56 and steps 56 to 510 are repeated.

FIG. 7 is a configuration diagram of the server 20 shown in FIG. 3. Referring to FIG. 7, the server 20 shown in FIG. 3 includes a monitoring unit 21, a displacement accumulation unit 22, a minimum value accumulation unit 23, a diagnosis unit 24, a communication unit 25, and a storage unit 26. ), and a user interface (27). The monitoring unit 21 receives displacement data representing the displacement amount “DS(t)” of the smart pole 100 from the smart pole terminal 10 and serves to monitor the occurrence of a smart pole overturning event. The diagnosis unit 24 serves to diagnose the tilt state of the smart pole terminal 10 based on the displacement data received from the smart pole terminal 10.

The communication unit 25 performs communication with the smart pole terminal 10. For example, the communication unit 25 may communicate with the smart pole terminal 10 using a LoRa network or may communicate with the smart pole terminal 10 using an Ethernet network. The user interface 27 serves to output the occurrence of a smart pole conduction event and the diagnosis results of the diagnostic unit 24 to the user in the form of at least one of image and sound, and is provided through a combination of a display panel, touch screen, speaker, etc. It can be implemented.

Figures 8 and 9 are flowcharts of the smart pole tilt state monitoring and diagnosis method on the server 20 side shown in Figure 7. Referring to Figures 8 and 9, the smart pole tilt state monitoring and diagnosis method on the server 20 side shown in Figure 3 consists of the following steps. Hereinafter, the monitoring unit 21, the displacement accumulation unit 22, the minimum value accumulation unit 23, and the diagnosis unit 24 will be described in detail with reference to FIGS. 8 and 9. The monitoring unit 21, the displacement accumulation unit 22, the minimum value accumulation unit 23, and the diagnosis unit 24 may be implemented as a combination of a microprocessor and a program stored in the storage 26.

In step 81, the monitoring unit 21 of the server 20 receives a message indicating the displacement amount “DS(t)” of the smart pole 100 on which the smart pole terminal 10 is installed from the smart pole terminal 10 through the communication unit 25. Receive displacement data. The monitoring unit 21 receives displacement data representing the displacement amount “DS(t)” of the smart pole 100 on which each smart pole terminal 10 is installed from each of the plurality of smart pole terminals 10 shown in FIG. 3. . Since the smart pole tilt state monitoring and diagnosis method described below is performed in the same way for each smart pole terminal (10), it will be described for one smart pole terminal (10).

In step 82, the monitoring unit 21 of the server 20 checks whether the displacement data received in step 81 includes a code indicating the occurrence of a smart pole overturn event. As a result of the confirmation in step 82, if the displacement data received in step 81 includes a code indicating the occurrence of a smart pole overturning event, the process proceeds to step 83. Otherwise, the process proceeds to step 84.

In step 83, the monitoring unit 21 of the server 20 outputs a warning level alarm indicating the risk of falling of the smart pole 100 through the user interface 27, and sends an alarm to the smart pole 100 through the communication unit 25. A message indicating a warning level alarm indicating the risk of falling is transmitted to the fixed terminal 30 and the mobile terminal 40. When the smart pole manager recognizes an alarm of this warning level through at least one of the user interface 27, the fixed terminal 30, and the mobile terminal 40, he or she can take action to ensure that the smart pole 100 is repaired. there is. When equipment installation work, etc. for the smart pole 100 is scheduled, the smart pole manager may inform workers of the risk of falling of the smart pole 100.

In step 84, the displacement accumulation unit 22 of the server 20 receives the smart pole displacement amount “DS(t)” indicated by the displacement data received by the monitoring unit 21 in step 81 before the reception point in step 81. By accumulating the smart pole displacement amount "DS(t)" indicated by the displacement data, a cumulative displacement list consisting of a plurality of smart pole displacement amounts is created. The displacement accumulator 22 accumulates and stores the smart pole displacement amount “DS(t)” indicated by the displacement data received in step 81 in at least one smart pole displacement amount “DS(t)” already stored in the storage 26. By doing so, a cumulative list of displacement amounts of the smart pole 100 can be created.

FIG. 10 is an example diagram of a displacement accumulation list generated by the displacement accumulation unit 22 shown in FIG. 7 . Figure 10 shows an example of the cumulative displacement list generated in step 84 when displacement data is transmitted periodically from the smart pole terminal 10 to the server 20 every hour. To help you understand the cumulative displacement list, the cumulative displacement list is expressed as a graph where the x-axis represents the size of "DS(t)" and the y-axis represents the time flow in units of 1 hour. An example of a smart pole conduction event occurring is shown at the end of the y-axis.

In step 85, the minimum value accumulation unit 23 of the server 20 divides the accumulated displacement amount list of the smart pole 100 generated in step 84 into certain time sections and extracts the minimum value for each divided time section. . For example, the diagnosis unit 24 may divide the accumulated displacement list of the smart pole 100 generated over a week into 6-hour long time sections and extract the minimum value for each time section divided in this way.

In step 86, the minimum value accumulation unit 23 of the server 20 accumulates the minimum value extracted in step 85 to the minimum value extracted before the extraction time in step 85, thereby generating a minimum value accumulation list consisting of a plurality of minimum values. The minimum value accumulation unit 23 accumulates and stores the minimum value extracted in step 85 to at least one minimum value already stored in the storage 26, thereby creating a minimum value accumulation list for the displacement amount “DS(t)” of the smart pole 100. can be created.

FIG. 11 is an example diagram of a minimum value accumulation list generated by the minimum value accumulation unit 23 shown in FIG. 7. The minimum value accumulation list shown in FIG. 11 is generated from the displacement amount accumulation list shown in FIG. 10. FIG. 11 shows an example of the minimum value accumulation list generated in step 86 when the displacement accumulation list shown in FIG. 10 is divided into time sections of 6 hours in length. To help you understand the minimum value accumulation list, the minimum value accumulation list is expressed as a graph where the x-axis represents the size of "DS(t)" and the y-axis represents the time flow in 6-hour units.

In step 87, the diagnosis unit 24 of the server 20 determines the largest value among the plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulator 23 in step 86 and the lower limit value of the displacement of the smart pole 100, “DSmin”. Compare. As a result of the comparison in step 87, if the largest value among the plurality of minimum values in the minimum value accumulation list is less than the lower limit value “DSmin” of the displacement amount of the smart pole 100, the process proceeds to step 88, otherwise, the process proceeds to step 813. The diagnosis unit 24 compares the lower limit value “DSmin” of the displacement amount of the smart pole 100 with the largest value among a preset number of recent minimum values from a plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulator 23.

For example, the diagnosis unit 24 selects the largest value among the four minimum values for one day from the plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulator 23 and the lower limit of displacement of the smart pole 100, “DSmin”. can be compared. The minimum number of values used for comparison with the lower limit value “DSmin” of the displacement of the smart pole 100 may be adjusted depending on the weather or surrounding environment of a certain area. In section (a) of FIG. 11, an example is shown where the largest value among the four minimum values for one day is smaller than the lower limit value “DSmin” of the displacement amount of the smart pole 100. Section (a) of FIG. 11 corresponds to an example generated from the cumulative displacement list shown in FIG. 10.

The lower limit of displacement of the smart pole 100, “DSmin”, means the minimum displacement of the smart pole 100 for which tilt diagnosis of the smart pole 100 is required. Therefore, the fact that the largest value among the plurality of minimum values of the cumulative list of minimum displacement values of the smart pole 100 is smaller than the lower limit value "DSmin" of the displacement amount of the smart pole 100 means that the smart pole 100 is continuously in a normal upright state or is in a smart pole 100. This refers to a case where the pole 100 returns to its normal upright state even if it is briefly shaken due to wind, driving of surrounding vehicles, etc.

In step 88, the diagnosis unit 24 of the server 20 determines the smart pole displacement amount “DS(t)” indicated by the displacement data received by the monitoring unit 21 in step 81 and the first displacement amount threshold of the smart pole 100. Compare the value "DSth1". As a result of the comparison in step 88, if the displacement amount “DS(t)” of the smart pole 100 is greater than the first displacement threshold “DSth1” of the smart pole 100, the process proceeds to step 89, otherwise, the process proceeds to step 810. . The first displacement threshold "DSth1" of the smart pole 100 is smaller than the upper limit value "DSmax" of the smart pole 100 and larger than the second displacement threshold "DSth2" of the smart pole 100, such as a typhoon, strong rain and wind. This is a threshold value for determining that a strong impact due to, etc. is being applied to the smart pole 100.

In step 89, the diagnosis unit 24 of the server 20 outputs a diagnosis result indicating that the smart pole 100 is strongly shaken by a typhoon, strong rain and wind, etc. through the user interface 27, and outputs a diagnosis result through the communication unit 25. A diagnosis result indicating that the smart pole 100 is strongly shaken by a typhoon, strong rain or wind, etc. is transmitted to the fixed terminal 30 and the mobile terminal 40. When the smart pole manager recognizes this diagnosis result through at least one of the user interface 27, the fixed terminal 30, and the mobile terminal 40, he or she can take measures to prepare for typhoons, strong rain and wind, etc. This diagnosis is made at “15h” and “16h” in the cumulative displacement list shown in Figure 10.

In step 810, the diagnosis unit 24 of the server 20 determines the smart pole displacement amount “DS(t)” indicated by the displacement data received by the monitoring unit 21 in step 81 and the second displacement amount threshold of the smart pole 100. Compare the value "DSth2". As a result of the comparison in step 810, if the displacement amount “DS(t)” of the smart pole 100 is greater than the second displacement threshold “DSth2” of the smart pole 100, the process proceeds to step 811, otherwise, the process proceeds to step 812. . The second displacement threshold "DSth2" of the smart pole 100 is smaller than the first displacement threshold "DSth1" of the smart pole 100 and is larger than the lower displacement threshold "DSmin" of the smart pole 100, and is a value that can be used to protect against wind and surrounding construction. This is a threshold value for determining that a relatively low level of shock due to etc. is being applied to the smart pole 100.

In step 811, the diagnosis unit 24 of the server 20 outputs a diagnosis result indicating that the smart pole 100 is slightly shaking due to wind, surrounding construction, etc. through the user interface 27, and outputs a diagnosis result through the communication unit 25. A diagnosis result indicating that the smart pole 100 is slightly shaking due to wind, nearby construction, etc. is transmitted to the fixed terminal 30 and the mobile terminal 40. The smart pole manager can recognize these diagnosis results through at least one of the user interface 27, the fixed terminal 30, and the mobile terminal 40. This diagnosis is made at “8h”, “14h”, and “17h” in the cumulative displacement list shown in FIG. 10.

In step 812, the diagnostic unit 24 of the server 20 outputs a diagnostic result indicating that the inclination state of the smart pole 100 is in a normal upright state through the user interface 27, and outputs a diagnostic result indicating that the tilt state of the smart pole 100 is in a normal upright state through the user interface 27. A diagnosis result indicating that the tilt state of the pole 100 is in a normal upright state is transmitted to the fixed terminal 30 and the mobile terminal 40. The smart pole manager can recognize these diagnosis results through at least one of the user interface 27, the fixed terminal 30, and the mobile terminal 40.

In steps 88 to 812, the diagnostic unit 24 determines the size of the smart pole displacement amount “DS(t)” indicated by the displacement data received by the monitoring unit 21 by a plurality of thresholds “DSth1” and “DSth2”. The inclination state of the smart pole 100 is diagnosed depending on which displacement size section it belongs to among the plurality of displacement size sections. In this way, diagnostic results indicating the degree of shaking of the smart pole 100, which is formed differently depending on typhoons, strong winds, weak winds, etc., can be provided, so equipment installation work for the smart pole 100 or the smart pole 100 It is possible to prevent safety accidents such as worker falls caused by shaking of the smart pole 100 during maintenance work.

In step 813, the diagnosis unit 24 of the server 20 determines whether the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulation unit 23 are in an increasing trend in step 86. As a result of the confirmation in step 813, if the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulation unit 23 are in an increasing trend, the process proceeds to step 817. Otherwise, the process proceeds to step 814. The diagnosis unit 24 determines whether a preset number of recent minimum values among the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulator 23 are on an increasing trend. For example, the diagnosis unit 24 may check whether the four minimum values for one day among the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulator 23 are on an increasing trend. Depending on the weather or surrounding environment of a certain region, the number of minimum values used to determine the minimum value increasing trend can be adjusted.

In step 814, the diagnosis unit 24 calculates the average deviation of the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulation unit 23. The diagnosis unit 24 calculates an average deviation of a preset number of recent minimum values among the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulator 23. For example, the diagnosis unit 24 may calculate the average deviation of four minimum values for one day among the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulator 23. Depending on the weather or surrounding environment of an area, the number of minimum values used to calculate the minimum average deviation can be adjusted.

In step 815, the diagnosis unit 24 compares the average deviation calculated in step 814 with the reference value “MDrf”. As a result of the confirmation in step 815, if the average deviation calculated in step 814 is smaller than the reference value “MDrf”, the process proceeds to step 816, otherwise, the process proceeds to step 88. The reference value “MDrf” is a reference value for determining whether the smart pole 100 is temporarily tilted due to strong winds, surrounding construction, etc., or is permanently tilted due to ground subsidence, sinkhole, etc.

In step 816, the diagnosis unit 24 compares the smallest value among the plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulator 23 with the lower limit value “DSmin” of the displacement amount of the smart pole 100. As a result of the comparison in step 816, if the smallest value among the plurality of minimum values in the minimum value accumulation list is greater than the lower limit value “DSmin” of the displacement amount of the smart pole 100, the process proceeds to step 817, otherwise, the process proceeds to step 88. The displacement lower limit value “DSmin” to be compared in step 87 and the displacement lower limit value “DSmin” to be compared in step 816 may be different values. For example, the lower limit value “DSmin” of the displacement amount to be compared in step 816 may be a slightly larger value than the lower limit value “DSmin” of the displacement amount to be compared in step 87.

The diagnostic unit 24 compares the smallest value among a preset number of recent minimum values from a plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulator 23 with the lower limit value “DSmin” of the displacement amount of the smart pole 100. For example, the diagnosis unit 24 selects the smallest value among the four minimum values for one day from the plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulator 23 and the lower limit of displacement of the smart pole 100, “DSmin”. can be compared. The minimum number of values used for comparison with the lower limit value “DSmin” of the displacement of the smart pole 100 may be adjusted depending on the weather or surrounding environment of a certain area.

In step 817, the diagnostic unit 24 of the server 20 outputs a diagnostic result indicating that the tilt state of the smart pole 100 is at potential risk of falling through the user interface 27, and outputs a diagnostic result through the communication unit 25. A diagnosis result indicating that the tilt state of the smart pole 100 is at potential risk of falling is transmitted to the fixed terminal 30 and the mobile terminal 40. The smart pole manager can recognize these diagnosis results through at least one of the user interface 27, the fixed terminal 30, and the mobile terminal 40.

When the smart pole manager recognizes this diagnosis result through at least one of the user interface 27, the fixed terminal 30, and the mobile terminal 40, he or she can take action to ensure that the smart pole 100 is repaired. When facility installation work for the smart pole 100 or maintenance work for the smart pole 100 is scheduled, the smart pole manager may inform the worker of the risk of falling of the smart pole 100. As a result, safety accidents such as worker falling accidents caused by the tilt of the smart pole, which is difficult to determine with the naked eye of the smart pole worker during facility installation work or maintenance work on the smart pole 100, are prevented. It can be prevented.

The diagnosis unit 24 diagnoses that the tilt state of the smart pole 100 is at a potential risk of falling if the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulator 23 are on an increasing trend. Section (b) of FIG. 11 shows an example in which the four minimum values during the day are trending upward. Generally, typhoons or strong winds last for about 2 to 3 hours and then dissipate. Therefore, the fact that the four minimum values during the day are increasing means that the smart pole 100 is gradually tilting due to ground subsidence, sinkhole, etc.

The average deviation of the plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulation unit 23, for example, the four minimum values for one day, is less than the reference value “MDrf”, and the smallest value among them is the displacement amount of the smart pole 100. If it is greater than the lower limit value “DSmin”, it is very likely that the smart pole 100 is permanently tilted due to ground subsidence, sinkhole, etc. In this case as well, the diagnostic unit 24 diagnoses that the tilt state of the smart pole 100 is at potential risk of falling. In section (c) of Figure 11, an example is shown where the smallest value among the four minimum values during the day is less than the lower limit value "DSmin" of the displacement amount of the smart pole 100, and in section (d) of Figure 11, there are 4 minimum values during the day. An example is shown where the smallest value among the minimum values is greater than the lower limit value “DSmin” of the displacement of the smart pole 100.

Figure 12 is an example of shaking of the smart pole terminal 10 when the smart pole 100 shown in Figure 1 is tilted due to ground subsidence, sinkhole, etc. In (a) of Figure 12, the x-axis direction, y-axis direction, and z-axis direction of the triaxial acceleration sensor 11 in a state in which the smart pole 100 is tilted, that is, the x-axis direction and the y-axis direction of the smart pole 100 , a typical displacement amount in the z-axis direction is shown. Figure 12 (b) shows an example of the amount of displacement of the smart pole 100 in the x-axis direction, y-axis direction, and z-axis direction when the smart pole 100 is shaken in an inclined state by a strong wind, etc. To facilitate understanding of this embodiment, the displacement amounts of the smart pole 100 in the x-axis, y-axis, and z-axis directions are shown in exaggerated form.

Unlike the shaking of the smart pole terminal 10 when the smart pole 100 is normally upright, for example, the shaking of the smart pole terminal 10 shown in FIG. 6, the smart pole 100 is shaken by the wind, etc. When shaken, shaking similar to the shaking in the x-axis and y-axis directions occurs in the z-axis direction of the smart pole 100. Accordingly, if the smart pole 100 is gradually tilted due to ground subsidence, sinkhole, etc., the plurality of minimum values in the minimum value accumulation list generated by the minimum value accumulation unit 23 tend to increase. If the smart pole 100 tilts and then stops due to ground subsidence, sinkhole, etc., the plurality of minimum values in the minimum value accumulation list maintain a value greater than the minimum value in the upright state without significant change.

So far, the present invention has been examined focusing on its preferred embodiments. A person skilled in the art to which the present invention pertains will understand that the present invention may be implemented in a modified form without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered from an illustrative rather than a restrictive perspective. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the equivalent scope should be construed as being included in the present invention.

100 ... Smart Pole
10 ... Smart pole terminal
11 ... triaxial acceleration sensor
12 ... Initial value calculation unit
13 ... Displacement calculation unit
14 ... control unit
15 ... Department of Communications
16 ... storage
17 ... power supply
20 ... server
21 ... Surveillance Department
22 ... displacement accumulation unit
23 ... Minimum value accumulation unit
24 ... Diagnostic department
25 ... Ministry of Communications
26 ... storage
27 ... User Interface
30 ... fixed terminal
40 ... mobile terminal

Claims (11)

It is installed on a smart pole installed upright on the ground and detects acceleration values in the x-axis direction, y-axis direction, and z-axis direction, which are arbitrarily set for the smart pole, and detects the detected acceleration value in the x-axis direction and the A smart pole terminal that calculates the displacement of the smart pole using the acceleration value and the sum of the acceleration value in the z-axis direction; and
It includes a server that receives displacement data indicating the displacement amount of the smart pole calculated by the smart pole terminal from the smart pole terminal, and diagnoses the inclination state of the smart pole based on the smart pole displacement amount indicated by the received displacement data. do,
The smart pole terminal is
A triaxial acceleration sensor that detects acceleration values in each of the x-axis, y-axis, and z-axis directions; and
The initial acceleration value in the x-axis direction, the initial acceleration value in the y-axis direction, from the sum of the detected acceleration value in the x-axis direction, the acceleration value in the y-axis direction, and the acceleration value in the z-axis direction according to Equation 1 below, A smart pole tilt state monitoring and diagnosis system comprising a displacement calculation unit that subtracts the sum of the initial acceleration values in the z-axis direction and calculates an absolute value of the subtracted result as the displacement amount of the smart pole.
[Equation 1]

In Equation 1, “DS(t)” is the displacement amount of the smart pole at time “t”, and “AX(t)”, “AY(t)”, and “AZ(t)” are the displacement amount at time “t”. are the acceleration value in the x-axis direction, the acceleration value in the y-axis direction, and the acceleration value in the z-axis direction, and "AX0", "AY0", and "AZ0" are the initial acceleration values in the x-axis direction and the y The initial value of acceleration in the axial direction is the initial value of acceleration in the z-axis direction. delete delete According to claim 1,
The smart pole terminal is
The average of the plurality of acceleration values in the x-axis direction initially detected by the triaxial acceleration sensor is calculated as the initial acceleration value in the x-axis direction, and the average of the plurality of acceleration values in the y-axis direction initially detected by the triaxial acceleration sensor is calculated. Further comprising an initial value calculation unit that calculates the acceleration in the y-axis direction as an initial value and calculates an average of a plurality of z-axis acceleration values initially detected by the tri-axis acceleration sensor as the initial value of the acceleration in the z-axis direction. Features a smart pole tilt condition monitoring and diagnosis system. According to claim 1,
Smart pole tilt state monitoring and diagnosis, wherein the server diagnoses the tilt state of the smart pole according to which displacement size section of the plurality of displacement size sections the displacement size of the smart pole calculated by the smart pole terminal belongs to. system. According to claim 1,
The server is
A displacement quantity that generates a displacement accumulation list consisting of a plurality of smartpole displacement quantities by accumulating the smartpole displacement quantity indicated by the received displacement data to at least one smartpole displacement quantity indicated by at least one displacement data received before the reception point. accumulation part; and
A smart pole tilt state monitoring and diagnosis system comprising a diagnosis unit that diagnoses the tilt state of the smart pole based on the displacement accumulation list generated by the displacement accumulation unit. According to claim 6,
The server is
It further includes a minimum value accumulator for generating a minimum value accumulation list consisting of a plurality of minimum values by dividing the displacement accumulation list generated by the displacement accumulation unit into predetermined time intervals and extracting the minimum value for each divided time interval; ,
The diagnosis unit diagnoses that the tilt state of the smart pole is at a potential risk of falling depending on whether the plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulator have an increasing trend. Surveillance diagnosis system. According to claim 6,
The server is
It further includes a minimum value accumulator for generating a minimum value accumulation list consisting of a plurality of minimum values by dividing the displacement accumulation list generated by the displacement accumulation unit into predetermined time intervals and extracting the minimum value for each divided time interval; ,
The diagnosis unit calculates an average deviation of a plurality of minimum values of the minimum value accumulation list generated by the minimum value accumulation unit, and diagnoses that the tilt state of the smart pole is at a potential risk of falling according to the size of the calculated average deviation. A smart pole tilt condition monitoring and diagnosis system characterized by: According to claim 8,
The diagnostic unit diagnoses that the tilt state of the smart pole is at a potential risk of falling if the calculated average deviation is greater than the reference value and the smallest value among the plurality of minimum values in the minimum value accumulation list is greater than the threshold value. Smart pole tilt condition monitoring and diagnosis system. According to claim 1,
The smart pole includes a lower strut installed upright on the ground, a crossbar installed horizontally with respect to the ground, a multi-connector connecting the lower strut and the crossbar, and a communication box mounted on the multi-connector,
A smart pole tilt state monitoring and diagnosis system, characterized in that the smart pole terminal is built into the interior of the communication enclosure. The smart pole terminal detects accelerations in each of the randomly set x-axis, y-axis, and z-axis directions for the smart pole installed upright on the ground;
The smart pole terminal calculates the amount of displacement of the smart pole using the sum of the detected acceleration value in the x-axis direction, the acceleration value in the y-axis direction, and the acceleration value in the z-axis direction;
The server receiving displacement data indicating the calculated displacement amount of the smart pole; and
The server includes diagnosing a tilt state of the smart pole based on the smart pole displacement amount indicated by the received displacement data,
The step of calculating the displacement amount of the smart pole is the initial value of the acceleration in the x-axis direction from the sum of the detected acceleration value in the x-axis direction, acceleration value in the y-axis direction, and acceleration value in the z-axis direction according to Equation 1 below. Smart pole tilt state monitoring and diagnosis, characterized in that the sum of the initial value of acceleration in the y-axis direction and the initial value of acceleration in the z-axis direction is subtracted, and the absolute value of the subtracted result is calculated as the displacement amount of the smart pole. method.
[Equation 1]

In Equation 1, “DS(t)” is the displacement amount of the smart pole at time “t”, and “AX(t)”, “AY(t)”, and “AZ(t)” are the displacement amount at time “t”. are the acceleration value in the x-axis direction, the acceleration value in the y-axis direction, and the acceleration value in the z-axis direction, and "AX0", "AY0", and "AZ0" are the initial acceleration values in the x-axis direction and the y The initial value of acceleration in the axial direction is the initial value of acceleration in the z-axis direction.

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