KR20220160427A - Wireless power monitoring system - Google Patents

Abstract

The present invention relates to a wireless power monitoring system capable of detecting a fire or disaster occurring in a power source. According to the present invention, the wireless power monitoring system comprises a power supply device and a monitoring device. The power supply device includes: a power supply unit including a battery and an uninterruptible power supply; a sensor unit detecting state information of the power supply unit; and a first communication unit transmitting the state information detected by the sensor unit to the monitoring device. The monitoring device includes: a second communication unit receiving the status information; a determination unit using the received status information to determine whether a fire has occurred; a display unit displaying a result determined by the determination unit; a deep-learning unit using the status information as input data to perform deep-learning; and a risk prediction unit using a prediction result of the deep-learning unit to predict whether a fire will occur.

Description

Wireless power monitoring system {Wireless power monitoring system}

The present invention relates to a wireless power monitoring system, and more particularly, to a wireless power monitoring system capable of detecting a fire or disaster occurring in a power source.

Existing battery management systems (BMS) have a problem in that they cannot be easily installed in areas where it is difficult to install wired facilities, such as between islands and mountains, because a battery and a measuring unit are connected by wire.

In addition, even when installing using wireless communication, there is a problem in that a large number of repeaters must be installed due to a narrow wireless communication distance.

Therefore, it is necessary to develop a technology that can be easily installed at a low cost even in areas where it is difficult to install wired facilities, such as between islands and mountains.

In addition, it is necessary to develop a technology for monitoring the battery by detecting fire, disaster, etc. occurring in the battery in real time.

Korean Patent Publication No. 10-2021-0018035

An object of the present invention is to provide a wireless power monitoring system capable of detecting a fire or disaster occurring in a power source.

A wireless power monitoring system according to an embodiment of the present invention is a wireless power monitoring system including a power supply and a monitoring device.

The power supply device includes a power supply unit including a battery and an uninterruptible power supply, a sensor unit that senses state information of the power supply unit, and a first communication unit that transmits the state information sensed by the sensor unit to the monitoring device.

The monitoring device includes: a second communication unit for receiving the state information; a determination unit for determining whether a fire has occurred using the received state information; a display unit for displaying a result determined by the determination unit; It includes a deep-learning unit that performs deep-learning using information as input data, and a risk prediction unit that predicts whether or not a fire will occur using a prediction result of the deep-learning unit.

In the wireless power monitoring system according to an embodiment of the present invention, the first communication unit and the second communication unit may include a LoRa communication module.

In the wireless power monitoring system according to an embodiment of the present invention, the state information may include at least one of voltage, current, internal resistance, and temperature of the battery and the uninterruptible power supply.

In the wireless power monitoring system according to an embodiment of the present invention, the determination unit, a fire risk determination module for predicting and determining the possibility of a fire using state information sensed by the sensor unit, and determination of the fire risk determination module A sensor cycle control module for changing the sensing cycle of the sensor unit according to a result may be included.

In the wireless power monitoring system according to an embodiment of the present invention, the fire risk determination module includes information on a normal range, which is a temperature range when the power supply unit is normally operated, and a dangerous range, which is a temperature range when the power supply unit is overheated and operated. The risk range may include a first risk range in which the performance of the power supply unit deteriorates due to heat although the risk of fire is low, and a second danger range in which the possibility of fire in the power supply unit is high due to heat.

In the wireless power monitoring system according to an embodiment of the present invention, in the sensor period control module, when the determination result of the fire risk determination module corresponds to the danger range, the sensing period of the sensor unit is the sensing period of the normal range. It can be controlled to be changed to a second cycle smaller than the first cycle.

Other specific details of implementations according to various aspects of the present invention are included in the detailed description below.

According to an embodiment of the present invention, it is possible to provide a wireless power monitoring system capable of detecting a fire or disaster occurring in power.

In addition, the existing battery management system (BMS) is connected to the battery and the measuring unit by wire, but the present invention has the advantage of being easily installed in areas where wired facilities are difficult, such as between islands and mountains, by wireless communication.

In particular, by performing communication using a LoRa (Long Range) network, the distance can be dramatically extended compared to other wireless communications, and long-distance data transmission of 10 km or more is possible, which has the advantage of saving equipment costs.

1 is a diagram illustrating a wireless power monitoring system according to an embodiment of the present invention.
2 is a diagram illustrating a determination unit of a monitoring device according to an embodiment of the present invention.

Since the present invention can apply various transformations and have various embodiments, specific embodiments will be exemplified and described in detail in the detailed description. However, it should be understood that this is not intended to limit the present invention to specific embodiments, and includes all transformations, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms used in the present invention are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In the present invention, terms such as 'include' or 'having' are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded. Hereinafter, a wireless power monitoring system according to an embodiment of the present invention will be described with reference to the drawings.

1 is a diagram showing a wireless power monitoring system according to an embodiment of the present invention, and FIG. 2 is a diagram showing a determination unit of a monitoring device according to an embodiment of the present invention.

As shown in FIG. 1 , a wireless power monitoring system according to an embodiment of the present invention includes a power supply device 100 and a monitoring device 200 .

The power supply 100 includes a power supply unit 110 , a sensor unit 120 , and a first communication unit 130 .

The power supply unit 110 includes a battery to be monitored and an uninterruptible power supply. The battery constitutes the main power source. The uninterruptible power supply enables continuous power supply even when the battery, which is the main power source, becomes inoperable due to damage or the like to loads that are very difficult to operate in the event of a power outage, such as security, hospital, and computer power. Uninterruptible power is generally referred to as UPS (Uninterruptible Power System or Supply), and is also referred to as CVCF (Constant Voltage Constant Frequency) in large and medium capacity devices.

The sensor unit 120 monitors the power supply unit 110 and generates state information (sensed value). The sensor unit 120 may generate state information (sensed value) by measuring voltage, current, internal resistance, temperature, smoke, and the like of the battery and the uninterruptible power supply. In addition, the sensor unit 120 may generate a sensing value related to whether a fire occurs in the battery and the uninterruptible power supply.

To this end, the sensor unit 120 may include a voltage sensor, a current sensor, a far-infrared thermal sensor, a smoke sensor, a temperature sensor, and the like.

The voltage sensor measures the potential difference between the positive poles of the battery and the uninterruptible power supply.

The current sensor measures the value of the current flowing through the battery and the uninterruptible power supply.

The far-infrared thermal imaging sensor is a sensor that detects long-wave infrared images in the wavelength range of 8㎛ to 14㎛, and detects whether the battery and uninterruptible power supply heat up.

A smoke sensor is a type of fire detector that detects smoke from a fire and detects an accident more quickly before a fire breaks out. There are ion type and light type. Light type is a method of detecting the change in light speed caused by smoke.

The temperature sensor is for detecting a temperature rise inside the battery and the uninterruptible power supply, and it is preferable to use a semiconductor temperature sensor that converts the detected temperature into a proportional current output. A semiconductor temperature sensor is also called an IC temperature sensor (Integrated Circuit Temperature sensor), and measured temperature data is linked with a control application (eg, DSP Controller) through I2C communication. Unlike a parallel bus called a local bus, I2C refers to a bidirectional serial bus standard that operates by connecting peripheral devices with only two signal lines.

The first communication unit 130 transmits state information (voltage, current, internal resistance, temperature, smoke, etc.) sensed by the sensor unit 120 to the monitoring device 200 . The first communication unit 130 may include a LoRaWan communication module. The LoRa communication module may perform low-power wide-area (LPWA) communication. LoRa communication dramatically extends the distance compared to other wireless communications, enabling long-distance data transmission of 10 km or more, thereby saving equipment costs.

The monitoring device 200 may receive state information about the power supply unit 110 from the power supply device 100 and determine or predict whether a danger occurs based on the state information.

The monitoring device 200 includes a second communication unit 210, a determination unit 220, a display unit 230, a deep learning unit 240, and a risk prediction unit 250.

The second communication unit 210 receives state information (sensed value) from the first communication unit 130 of the power supply device 100 and transfers it to the determination unit 220 or the deep learning unit 240 . Like the first communication unit 130, the second communication unit 210 may be configured as a LoRaWan communication module.

The determination unit 220 receives state information from the second communication unit 210 and uses it to determine whether a fire has occurred. As shown in FIG. 2 , the determination unit 220 includes a fire risk determination module 221 and a sensor cycle control module 222 . Each of the modules 221 to 222 is a component that performs a predetermined function, and may be implemented as hardware, software, or a combination of hardware and software. For example, the modules 221 to 222 may mean program modules, which may be software components that are executed by a processor to perform predetermined functions.

The fire risk determination module 221 predicts and determines the possibility of a fire occurring in the battery and the uninterruptible power supply based on the sensed value. Here, in detail, the sensing value may be a temperature value sensed by the temperature sensor, but even in the case of a far-infrared thermal imaging sensor, the temperature inside the battery and the uninterruptible power supply is obtained by image analysis of color according to temperature in an image acquired by the far-infrared thermal imaging sensor. can do.

The fire risk determination module 310 has information on the temperature range (normal range) and overheating operation temperature range (dangerous range) of the battery and uninterruptible power supply, which are objects to be monitored, during normal operation. The danger range includes a first danger range in which the performance of the battery and the uninterruptible power supply deteriorates due to heat, although the risk of fire is low, and a second danger range in which the fire risk of the battery and the uninterruptible power supply is high due to the heat. Here, the normal range and the dangerous range may be determined by experiments in the process of manufacturing the battery and the uninterruptible power supply, and the temperature range is not particularly limited. In addition, the normal range and the dangerous range are not uniform and may be set differently depending on the battery and uninterruptible power supply.

The fire risk determination module 221 predicts and determines the possibility of a fire occurrence with respect to the battery and the uninterruptible power supply in stages using the sensing values of the sensor unit 120 . For example, the fire risk determination module 221 determines whether the current/voltage values measured by the current sensor and the voltage sensor fall within a normal range or fall within a first risk range in which performance deteriorates or a fire may occur. It is determined whether it falls within the second risk range. Alternatively, the fire risk determination module 221 determines whether the internal temperatures of the battery and the uninterruptible power supply measured by the temperature sensor fall within a normal range, a first danger range, or a second danger range. Alternatively, the fire risk determination module 221 obtains the temperature of the battery and the uninterruptible power supply from the image acquired by the far-infrared thermal imaging sensor and determines whether the battery and the uninterruptible power supply fall within the normal range, the first danger range, or the second danger range. judge

The sensor cycle control module 222 changes the sensing cycle of the sensor unit 120 according to the determination result of the fire risk determination module 221 . In an embodiment of the present invention, each sensor constituting the sensor unit 120 performs a sensing operation once during the first cycle, rather than constantly detecting and measuring whether or not heat is generated, whether smoke is generated, and a temperature value. For example, when the temperatures of the battery and the uninterruptible power supply are within a normal range, the sensing operation is performed once per hour. That is, it is normally in the sleep mode and periodically switches to the wake-up mode to perform a sensing operation.

The sensor period control module 222 controls the sensing period of the sensor unit 120 to be changed to a second period smaller than the first period when the determination result of the fire risk determination module 221 corresponds to the danger range. In addition, according to the stage of the risk range, control is performed to change to a 2_1 cycle smaller than the 1st cycle in the case of the first risk range and a 2_2 cycle smaller than the 2_1 cycle in the case of the second risk range. For example, in the normal range of performing the sensing operation once per hour, if the temperature rise is determined to be in the first dangerous range, the sensing operation is performed once every 5 minutes to monitor the state of the battery and uninterruptible power supply more frequently And, furthermore, if it is determined to be a more dangerous second risk range, it is controlled to monitor in real time by sensing once a minute. When it is determined that the dangerous range returns to the normal range, the sensor period control module 222 controls the sensing period of the sensor unit 120 to be switched back to the original first sensing period.

In this way, the sensor period control module 222 can minimize unnecessary power consumption of the sensor unit 120 by controlling the sensing period in the normal range and in the dangerous range with a high possibility of fire occurrence. Therefore, even when the same sensor is used, it is possible to maximize the battery life of the sensor.

The display unit 230 visualizes and displays the judgment result of the determination unit 220 . Here, the displayed information includes information about whether the battery and the uninterruptible power supply generate heat detected by the sensor unit 120, and a first danger range in which the performance of the battery and the uninterruptible power supply deteriorates or a second danger range in which a fire may occur. A message (warning message) about whether or not to do so may also be displayed through the display unit 230 .

The deep learning unit 240 performs deep-learning using the state information transmitted from the second communication unit 210 as input data. During manufacturing, the deep learning unit 240 may be trained in advance by using a plurality of state information according to actual experiments as input values. At this time, the judgment result value of the determination unit 220 may be the result value of machine learning.

The risk prediction unit 250 predicts whether or not a fire will occur by using the learning result of the deep learning unit 240 . The predicted contents of the risk prediction unit 250 may be information on whether the battery and the uninterruptible power supply generate heat, information on a first danger range in which performance deteriorates, or information on a second danger range in which a fire may occur.

The wireless power monitoring system of the present invention can monitor the state of the battery and the uninterruptible power supply based on the result determined by the determination unit 220 using the state information sensed and transmitted by the sensor unit 120, and also, The state of the battery and the uninterruptible power supply may be monitored based on the result learned by the deep learning unit 240 using the corresponding state information as an input value. Accordingly, it is possible to double-monitor the state of the battery and the uninterruptible power supply. Meanwhile, depending on selection, even if only one of the determination unit 220 or the deep learning unit 240 is operated, the state of the battery and the uninterruptible power supply can be monitored.

In the existing battery management system (BMS), the battery and the measuring unit are connected by wire, but the present invention communicates wirelessly, so it can be easily installed in areas where wired facilities are difficult, such as between islands and mountains.

In particular, by performing communication using a LoRa (Long Range) network, the distance can be dramatically extended compared to other wireless communications, and long-distance data transmission of 10 km or more is possible, which has the advantage of saving equipment costs.

Although one embodiment of the present invention has been described above, those skilled in the art can add, change, delete, or add components within the scope not departing from the spirit of the present invention described in the claims. The present invention can be variously modified and changed by the like, and this will also be said to be included within the scope of the present invention.

100: power unit 110: power unit
120: sensor unit 130: first communication unit
200: monitoring device 210: second communication unit
220: determination unit 230: display unit
240: deep learning unit 250: risk prediction unit

Claims (6)

A wireless power monitoring system comprising a power supply and a monitoring device,
The power supply device includes a power supply unit including a battery and an uninterruptible power supply, a sensor unit for sensing state information of the power supply unit, and a first communication unit for transmitting state information sensed by the sensor unit to the monitoring device,
The monitoring device includes: a second communication unit for receiving the state information; a determination unit for determining whether a fire has occurred using the received state information; a display unit for displaying a result determined by the determination unit; Including a deep-learning unit that performs deep-learning using information as input data, and a risk prediction unit that predicts whether a fire will occur using the prediction result of the deep-learning unit,
Wireless power monitoring system.
The method of claim 1,
The first communication unit and the second communication unit include a LoRa communication module, wireless power monitoring system.
The method according to claim 1, wherein the state information,
A wireless power monitoring system comprising at least one of voltage, current, internal resistance, and temperature of the battery and the uninterruptible power supply.
The method according to claim 1, wherein the determination unit,
A fire risk determination module for predicting and determining the possibility of a fire using the state information sensed by the sensor unit;
A wireless power monitoring system comprising a sensor cycle control module for changing the sensing cycle of the sensor unit according to the determination result of the fire risk determination module.
The method according to claim 4, wherein the fire risk determination module,
Information on a normal range, which is a temperature range when the power supply unit is normally operated, and a dangerous range, which is a temperature range when the power supply unit is overheated and operated,
The risk range includes a first risk range in which the performance of the power supply unit deteriorates due to heat, although the risk of fire is low, and a second risk range in which the possibility of fire in the power supply unit is high due to heat.
The method according to claim 4, wherein the sensor period control module,
When the determination result of the fire risk determination module corresponds to the danger range, the wireless power monitoring system for controlling the sensing period of the sensor unit to be changed to a second period smaller than the first period of sensing the normal range.

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