KR20210084094A - Battery status monitoring system of wireless vibration sensor and method therefor - Google Patents

Abstract

The present invention relates to a system for monitoring a battery state of a wireless vibration sensor and, more particularly, to a system for monitoring and inspecting a state of a battery (100) of a wireless vibration sensor, which can automatically detect and diagnose signal loss, voltage drop, and sensor malfunction of a battery (100) provided in a wireless vibration sensor to conveniently check whether a battery (100) is abnormal. To this end, the system of the present invention comprises: a low-voltage monitoring circuit (10) for detecting performance degradation or stopping of a function of a battery (100) by monitoring a voltage of the battery (100); a transmission unit (20) for transmitting a signal detected through the low-voltage monitoring circuit (10); a battery state monitoring unit (30) for monitoring malfunction of the battery (100) compared to the low-voltage monitoring circuit (10); and a battery inspection unit (40) for diagnosing whether to perform replacement due to the malfunction of the battery (100) and whether the remaining amount of the battery (100) is insufficient, and performing charging through a wireless charging device (60) when detecting that the wireless vibration sensor is running out of the battery (100).

Description

BATTERY STATUS MONITORING SYSTEM OF WIRELESS VIBRATION SENSOR AND METHOD THEREFOR

The present invention relates to a battery state monitoring system and method for a wireless vibration sensor, and more particularly, because it can automatically detect and check signal loss, voltage drop, and sensor malfunction of a battery provided in a wireless vibration sensor. It relates to a system and method for conveniently and accurately checking whether a battery is abnormal.

Vibration sensors are sensors that detect the vibrations of mechanical structures and moving bodies, and are widely used in vibration monitoring, smart structure monitoring, bridge and building seismic activity monitoring, research and development of mechanical structures, and structural analysis.

However, in the related art, since the vibration sensor is made of a wire and can be limited to the length of the cable, there is a limitation in the installation place and inconvenient measurement.

Recently, in order to solve the problems of the conventional vibration sensor, a measurement system using a wireless vibration sensor has been developed.

The wireless vibration sensor acquires a signal through the vibration sensor, supplies power using a battery, and sends data to a separate receiver and signal processing device through the control unit and transmitter. It has the advantage of solving the limitations of

However, the wireless vibration sensor does not have a separate monitoring method in the event of a battery failure or function stop, so the power supply is cut off until a separate action is taken after recognizing the failure or function stop, so that the wireless vibration sensor cannot be used. There is a problem that

In addition, in order to determine whether a battery installed in such a wireless vibration sensor has a failure, when a signal is missing, it is necessary to approach the sensor and directly check the battery state, so it takes a long time.

Republic of Korea Patent No. 10-1748693 (2017.06.13.)

The present invention was created to solve the above problems, and an object of the present invention is to monitor the battery state of the wireless vibration sensor, which can conveniently and accurately check whether the battery is abnormal by monitoring the state of the battery of the wireless vibration sensor in real time. To provide a system and method.

In the present invention for the above purpose, in a system capable of monitoring whether a battery installed in a wireless vibration sensor is abnormal, a low voltage monitoring circuit capable of detecting a decrease in battery performance or a function stop by monitoring the voltage of the battery ; a transmitter for transmitting the detected signal through the low voltage monitoring circuit; a battery condition monitoring unit capable of monitoring battery operation failure in comparison with the low voltage monitoring circuit; and a battery check unit capable of diagnosing whether to replace the battery and diagnosing a battery shortage due to the battery failure, and capable of charging the battery through a wireless charging device when detecting a battery shortage.

And the battery state monitoring unit, a signal loss detection unit that automatically detects signal loss using a detection algorithm of a rule base, and a comparison algorithm of the rule base in connection with the signal loss detection unit It comprises a voltage drop detection unit for diagnosing a voltage drop using the sensor, and a sensor diagnosis unit for diagnosing a malfunction of the sensor.

In addition, the sensor diagnosis unit diagnoses the sensor state by linking with a machine learning algorithm for diagnosing battery damage and sensor damage and learning data just before signal loss.

In addition, there is provided a method for detecting an abnormality in a battery installed in a wireless vibration sensor, the method comprising the steps of: detecting a degradation in performance or a function stop of the state of the battery through a low voltage monitoring circuit; transmitting the signal detected by the low voltage monitoring circuit to the battery state monitoring unit through a transmitting unit; Comparing with the low voltage monitoring circuit through the battery state monitoring unit, monitoring the battery operation failure of the sensor; diagnosing whether to replace the battery due to the defective battery and insufficient remaining amount of the battery through a battery inspection unit; and charging the battery using a charging device when the battery check unit detects that the remaining battery power is insufficient.

And the step of monitoring the battery operation failure of the sensor includes the steps of automatically detecting signal loss using a detection algorithm of a rule base through a signal loss detection unit, and the signal loss detection unit through a voltage drop detection unit and diagnosing the voltage drop using a comparison algorithm of a rule base and diagnosing the voltage drop using a comparison algorithm of the rule base, and diagnosing the sensor operation failure through the sensor diagnostic unit, wherein the diagnosing the sensor operation failure comprises: It is characterized by diagnosing the sensor state by linking with a machine learning algorithm to diagnose battery damage and sensor damage and learning data just before signal loss.

According to the battery state monitoring system and method of the wireless vibration sensor according to the present invention, it is possible to automatically detect and diagnose signal loss, voltage drop, and sensor malfunction by monitoring the battery of the wireless vibration sensor in real time, so that it is possible to determine whether the battery is abnormal. It has the effect of being able to check conveniently and quickly about

And, according to the present invention, since it is possible to diagnose a sensor operation failure by learning and diagnosing with the learning data of a machine learning algorithm, there is an advantage in that the reliability of data analysis and diagnosis is improved.

In addition, according to the present invention, it is possible to immediately identify the cause of the failure in the event of a battery failure, and when the remaining battery power is insufficient, charging is controlled to be performed directly through the charging device, thereby enabling immediate action.

1 is a conceptual diagram illustrating a battery state monitoring system of a wireless vibration sensor according to the present invention;
2 is a flowchart illustrating a battery state monitoring method of a wireless vibration sensor according to the present invention.

Hereinafter, a battery state monitoring system and method of a wireless vibration sensor of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram illustrating a battery state monitoring system of a wireless vibration sensor according to the present invention.

As shown in FIG. 1, the present invention relates to a system and method capable of monitoring and checking the state of a battery of a wireless vibration sensor, and the state of a battery installed in a wireless vibration sensor that detects vibrations of mechanical structures and moving objects We present a battery condition monitoring system and method that can conveniently and accurately check whether a battery is abnormal because it can automatically detect and diagnose signal loss, voltage drop, and sensor malfunction by checking the battery in real time.

Here, the wireless vibration sensor acquires a vibration signal and transmits data to a separate receiver and a signal processing device through the controller and the transmitter 20 using the provided battery.

For this purpose, the present invention basically includes a low voltage monitoring circuit 10 , a transmitter 20 , a battery state monitoring unit 30 , and a battery inspection unit 40 .

The low voltage monitoring circuit 10 is a circuit capable of monitoring a low voltage state by detecting a voltage change of the battery 100 installed in the vibration sensor. ) can be detected.

And the transmitter 20 may send the signal data of the vibration sensor to a separate receiver or signal processing device, but when the battery 100 installed in the wireless vibration sensor is in a discharged or stopped state, the low voltage monitoring circuit 10 is It functions to transmit the detected signal to the battery state monitoring unit 30 to be described later.

In addition, the battery state monitoring unit 30 may detect a signal omission of the wireless vibration sensor and then compare it with the low voltage monitoring circuit 10 to monitor the malfunction of the battery 100 .

Here, the battery state monitoring unit 30 includes a signal loss detection unit 31 , a voltage drop detection unit 32 , and a sensor diagnosis unit 33 to monitor the battery 100 state and diagnose a failure. .

The signal loss detection unit 31 may automatically detect signal loss using a detection algorithm of a rule base when the battery 100 installed in the wireless vibration sensor is discharged or stops functioning.

In addition, the voltage drop detection unit 32 diagnoses the voltage drop using a comparison algorithm between the voltage drop detection signal of the low voltage monitoring circuit 10 and the rule base after the signal loss is confirmed to determine the battery 100. Status diagnosis is performed automatically.

In this case, the voltage drop detection unit 32 is associated with a signal loss diagnosis algorithm.

And the sensor diagnosis unit 33, in connection with the work order and in conjunction with a machine learning algorithm for diagnosing damage to the battery 100 and damage to the sensor to diagnose the state of the sensor, such as malfunction of the sensor do.

Here, machine learning is a technology and technique that attempts to realize functions such as human learning ability in a computer, and a system that learns based on empirical data, performs prediction, and improves its own performance, and an algorithm for this technology to research and build.

Machine learning algorithms build specific models to make predictions or decisions based on input data, rather than executing strictly set static program instructions.

In addition, the sensor diagnosis unit 33 may diagnose the sensor state by learning data immediately before signal loss including the signal of the low voltage monitoring circuit.

In addition, when the sensor operation is diagnosed as defective, the battery check unit 40 can diagnose whether to replace the battery 100 due to the defectiveness and diagnose the battery 100's insufficient remaining amount, and detect the low remaining amount of the battery 100. In this case, it can be charged by itself through the wireless charging device (60).

When the battery 100 can be used because the battery 100 can be charged through the battery check unit 40, charging can be performed through the charging device, and when it is determined as a charging error, the battery 100 is replaced. An alarm is sent for , and charging of the battery 100 is not performed.

Here, the wireless charging device 60 is preferably a wireless charging induction coil, and charging may be performed through the induction coil 100a provided in the battery 100 .

In addition, the battery state diagnosed by the battery state monitoring unit 30 and the result diagnosed by the battery inspection unit 40 are integrated and linked to learn and diagnose as learning data of a machine learning algorithm. have.

In addition, the battery state monitoring system of the wireless vibration sensor according to the present invention further includes a controller 50 , wherein the controller 50 includes the battery 100 , the transmitter 20 , the low voltage monitoring circuit 10 , and the battery state. It is a configuration capable of controlling each configuration such as the monitoring unit 30 and the battery inspection unit 40 .

2 is a flowchart illustrating a method for monitoring a battery state of a wireless vibration sensor according to the present invention, and a series of processes may be performed through the battery state monitoring system of the wireless vibration sensor described above.

First, the first step is to monitor the voltage of the battery 100 in real time through the low voltage monitoring circuit 10 to determine the case of the low voltage to detect the performance degradation or the function stop state of the battery 100 (S10) to be.

The second step is to transmit the signal detected by the low voltage monitoring circuit 10 to the battery state monitoring unit 30 through the transmitting unit 20 (S20).

Here, the transmitting unit 20 may transmit the signal detected by the wireless vibration sensor to a separate receiving unit and a signal processing device. In the step of transmitting to the battery state monitoring unit 30, the battery 100 installed in the wireless vibration sensor ) serves to transmit a signal sensed through the low voltage monitoring circuit 10 to the battery condition monitoring unit 30 to be described later when it is in a discharged state or a function stop state.

The third step is a step (S30) of detecting a signal omission of the wireless vibration sensor through the battery condition monitoring unit 30 and then monitoring the battery 100 of the sensor for malfunction in comparison with the low voltage monitoring circuit 10 (S30). .

Here, the step (S30) of monitoring the battery operation failure of the sensor is the detection algorithm of the rule base when the battery 100 installed in the wireless vibration sensor through the signal loss detection unit 31 is discharged or the function stops. A step (S31) of automatically detecting signal loss using a voltage drop detection unit (32), and a voltage drop of the low voltage monitoring circuit (10) after the signal loss is confirmed in connection with the signal loss detection unit (31). Diagnosing the voltage drop using a detection signal and a comparison algorithm of a rule base (S32), and diagnosing a sensor operation failure through the sensor diagnosis unit 33 (S33).

In this case, the step (S33) of diagnosing the sensor operation failure may include a signal from the low voltage monitoring circuit in connection with the work order and in connection with a machine learning algorithm for diagnosing battery 100 damage or sensor damage. It is characterized in that the sensor condition is diagnosed by learning the data immediately before the signal loss.

The fourth step is a step (S40) of diagnosing whether to replace a battery due to a defective battery and insufficient remaining amount of the battery through the battery check unit 40 .

The fifth step is a step in which the battery check unit 40 detects a shortage of the battery 100 and, when it is determined that the battery 100 can be charged, charging the existing battery 100 using the wireless charging device 60 ( S50).

Here, the wireless charging device 60 is preferably a wireless charging induction coil (100a), and the battery 100 is self-charging through the provided induction coil (100a).

In this case, when the battery check unit 40 determines that there is an error in charging instead of in a chargeable state, the battery 100 replacement notification may be transmitted without charging.

As described above, the battery 100 state monitoring system and method of the wireless vibration sensor according to the present invention can monitor and check inoperability due to battery 100 failure by monitoring in real time, so that workability can be improved, and the machine Since it is possible to diagnose sensor malfunctions by learning and diagnosing with the learning data of the learning algorithm, there is an effect of improving the accuracy of monitoring and inspection.

As described above, the rights of the present invention are not limited to the above-described embodiments, but are defined by the claims, and those of ordinary skill in the art may make various modifications and adaptations within the scope of the claims. It is self-evident that you can

10: low voltage monitoring circuit 20: transmitter
30: battery state monitoring unit 31: signal loss detection unit
32: voltage drop detection unit 33: sensor diagnosis unit
40: battery inspection unit 50: control unit
60: wireless charging device 100: battery
100a: induction coil

Claims (5)

In the system capable of monitoring whether the battery 100 installed in the wireless vibration sensor is abnormal,
a low voltage monitoring circuit 10 capable of monitoring the voltage of the varity 100 to detect a decrease in performance or a function stop of the battery 100;
a transmitter 20 for transmitting a signal sensed through the low voltage monitoring circuit 10;
a battery state monitoring unit 30 capable of monitoring an operation failure of the battery 100 in comparison with the low voltage monitoring circuit 10;
A battery inspection unit ( 40); A wireless vibration sensor battery status monitoring system, including.
According to claim 1,
The battery state monitoring unit 30,
A signal loss detection unit 31 that automatically detects signal loss using a detection algorithm of a rule base, and a comparison algorithm of a rule base in connection with the signal loss detection unit 31 A battery state monitoring system for a wireless vibration sensor, comprising: a voltage drop detection unit 32 for diagnosing a voltage drop; and a sensor diagnosis unit 33 for diagnosing a malfunction of the sensor.
3. The method of claim 2,
The sensor diagnosis unit 33,
Battery state monitoring system of a wireless vibration sensor, characterized in that the battery 100 is linked with a machine learning algorithm for diagnosing damage and sensor damage and diagnosing the sensor state by learning data immediately before signal loss.
In the method for monitoring the abnormality of the battery installed in the wireless vibration sensor,
Detecting a decrease in performance or a function stop of the battery 100 through the low voltage monitoring circuit 10 (S10);
transmitting the signal detected by the low voltage monitoring circuit 10 to the battery state monitoring unit 30 through the transmitting unit 20 (S20);
Comparing with the low voltage monitoring circuit 10 through the battery state monitoring unit 30, monitoring the battery operation failure of the sensor (S30);
A step of diagnosing whether the battery 100 is replaced due to a defect and a battery 100 remaining low through the battery check unit 40 (S40);
The battery state monitoring method of the wireless vibration sensor comprising a; when the battery check unit 40 detects a lack of the remaining amount of the battery 100, the battery 100 can be charged using a charging device (S50).
5. The method of claim 4,
The step of monitoring the battery operation failure of the sensor (S30),
A step of automatically detecting signal loss using a detection algorithm of a rule base through the signal loss detection unit 31 (S31), and the signal loss detection unit 31 through the voltage drop detection unit 32 ) and diagnosing the voltage drop using a comparison algorithm of the rule base (S32) and diagnosing the sensor operation failure through the sensor diagnosis unit 33 (S33). ,
The step of diagnosing the sensor operation failure (S33),
Battery state monitoring method of a wireless vibration sensor, characterized in that the battery 100 is linked with a machine learning algorithm for diagnosing damage and sensor damage and diagnosing the sensor state by learning data immediately before signal loss.

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