KR102219806B1 - Method for monitoring a smart switchgear and control panel and the smart switchgear and control panel thereof - Google Patents

Abstract

According to various embodiments of the present invention, the prevent invention relates to a method for recognizing the status of a smart switchboard and a smart switchboard thereof. According to various embodiments of the present invention, the smart switchboard comprises: a sensor unit including a first sensor group for sensing the status of a smart switchboard and a second sensor group for sensing the status of an electrical facility connected to the smart switchboard; and a control unit for determining the status of the smart switchboard and the status of the electrical facility on the basis of a plurality of sensor data streams sensed by the sensor unit. The control unit detects an m^th event in any one of a plurality of sensor data streams received from the sensor unit, analyzes the detected m^th event by applying an m^th weight thereto, determines an (m+1)^th weight obtained by assigning an additional value to the m^th weight when the (m+1)^th event is detected in the sensor data stream in which the m^th event occurs after detecting the m^th event, and analyzes the detected (m+1)^th event by applying the (m+1)^th weight thereto. Other embodiments may be possible. According to the present invention, recognition for fatigue of the smart switchboard and the electrical facility can be further enhanced.

Description

Situation recognition method of smart switchgear and its smart switchgear {METHOD FOR MONITORING A SMART SWITCHGEAR AND CONTROL PANEL AND THE SMART SWITCHGEAR AND CONTROL PANEL THEREOF}

The present invention relates to a switchboard (high-voltage switchboard, low-voltage switchboard, distribution panel, motor control panel), and in more detail, a method for efficiently recognizing the situation of smart switchboards and electric facilities by assigning weights to detected events, and a smart switchboard. .

The switchboard is a facility that receives power and supplies power to load facilities installed in each power customer. The switchboard can monitor, control, and protect the power system, and the switchboard houses and uses various electric devices such as switchgear and transformers. Most electrical installations inevitably show fatigue symptoms over time. Electrical equipment that has undergone aging and fatigue over time can cause various serious risks such as overheating due to resistance and electric shock due to ground fault. Among them, the switchboard is a place where the common electricity supply network and the user's electrical circuits are connected, and it is necessary to monitor the condition.

Recently, as artificial intelligence technology of the 4th industrial revolution era is applied to each field of industry, research on intelligent monitoring of electrical facilities is also actively progressing, and smart devices equipped with sensors and networks for intelligent monitoring of switchboards. The switchboard is also being studied a lot. The network that connects the sensor and the host in the smart switchboard is a connection-oriented communication network that represents the Internet of Things conceptually. Data transmitted in this communication has a data stream form. The goal of analyzing the data detected and reported by sensors in the smart switchboard is to recognize various situations related to the switchboard. At this time, it is necessary to give a weight in analyzing the data stream generated by the sensor continuously reporting. There are various situations in the real world, because the sensor's sensing activity is performed to recognize the situation, and the value of the information about the event information acquired as a result of the sensor's sensing activity cannot be uniform.

In particular, the goal of situational awareness detected by the smart switchboard is to detect the fatigue level of electrical facilities and to detect abnormalities in all electrical facilities in advance to prevent fatal risks such as fire and electric shock in advance. Therefore, situations that are related to these risks or that lead to a direct detection of the risks should naturally be weighted. However, in the smart switchboard, since the system intelligently recognizes the situation without human intervention, it is difficult to actively assign weights because only the sensor activity and the data acquired as a result are used.

KR 10-1295779

The present invention has been conceived to solve the above problems, and an object of the present invention is to provide a method for efficiently assigning weights to specific events without human intervention or management, and a smart switchboard thereof.

According to various embodiments of the present disclosure, a smart switchboard includes: a sensor unit including a first sensor group for sensing a condition of the smart switchboard and a second sensor group for sensing a condition of an electric facility connected to the smart switchboard; And the control unit determining a status of the smart switchboard and a status of the electrical equipment based on a plurality of sensor data streams sensed by the sensor unit, wherein the control unit includes the plurality of sensors received from the sensor unit A sensor data stream in which the m-th event occurs after detecting the m-th event in any one of the data streams, applying an m-th weight to the detected m-th event, and detecting the m-th event When the m+1th event is detected, the m+1th weight is determined by giving an additional value to the mth weight, and the detected m+1th event can be analyzed by applying the m+1th weight. have. Other embodiments may be possible.

According to the present invention as described above, it has various effects as follows.

According to the present invention, by assigning weights to events included in the sensor data stream, it is possible to further strengthen the awareness of fatigue of smart switchboards and electrical equipment.

In addition, according to the present invention, by assigning weights to events included in the sensor data stream, it is possible to more sensitively recognize the increase in fatigue of the smart switchboard and electrical equipment, and to prevent the occurrence of a secondary accident due to the increase in fatigue.

1 is a block diagram showing a smart switchboard according to an embodiment of the present invention.
2 is a block diagram showing a smart switchboard according to another embodiment of the present invention.
3 is a flowchart illustrating a method of assigning a weight to an event included in a sensor data stream in a smart switchboard according to an embodiment of the present invention.
4 is an exemplary view showing a method of assigning weights to events included in a sensor data stream in a smart switchboard according to an embodiment of the present invention.
5 is a flowchart illustrating a method of assigning a weight to an event according to a difference between occurrence times in a smart switchboard according to an embodiment of the present invention.
6 is an exemplary view showing a method of assigning a weight to an event according to a difference between occurrence times in a smart switchboard according to an embodiment of the present invention.
7 is a flowchart illustrating a method of assigning a weight to an event according to a difference in duration in a smart switchboard according to an embodiment of the present invention.
8 is an exemplary diagram showing a method of assigning weight to an event according to a difference in duration in a smart switchboard according to an embodiment of the present invention.
9 is a flowchart illustrating a method of assigning a weight to an event according to the number of other events in a smart switchboard according to an embodiment of the present invention.
10 is an exemplary view showing a method of assigning weights to events according to the number of other events in a smart switchboard according to an embodiment of the present invention.
11 is a flowchart illustrating a method of assigning a weight to an event according to the number of accumulated events in a smart switchboard according to an embodiment of the present invention.
12 is an exemplary diagram illustrating a method of assigning weights to events according to the number of accumulated events in a smart switchboard according to an embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings. In addition, in describing an embodiment of the present invention, when it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, terms to be described later are terms defined in consideration of the functions of the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in a variety of different forms. However, this embodiment is intended to make the disclosure of the present invention complete and the scope of the invention to those of ordinary skill in the art. It is provided to inform you.

Various embodiments of the present document may be implemented as software (eg, programs) including instructions stored in a machine-readable storage media (eg, a computer). The device is a device capable of calling a stored command from a storage medium and operating according to the called command, and may include an electronic device (eg, a server) according to the disclosed embodiments. Instructions may include code generated or executed by a compiler or interpreter. A storage medium that can be read by a device may be provided in the form of a non-transitory storage medium. Here, "non-transitory" means that the storage medium does not contain signals and is tangible, but does not distinguish between semi-permanent or temporary storage of data in the storage medium.

According to an example, the method according to various embodiments disclosed in the present document may be provided by being included in a computer program product. Computer program products can be traded between sellers and buyers as commodities. The computer program product may be distributed online in the form of a device-readable storage medium (eg, compact disc read only memory (CD-ROM)) or through an application store (eg, Play StoreTM). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a storage medium such as a server of a manufacturer, a server of an application store, or a memory of a relay server.

Each of the constituent elements (eg, a module or a program) according to various embodiments may be composed of a singular or a plurality of entities, and some sub-elements among the aforementioned sub-elements are omitted, or other sub-elements are It may be further included in various embodiments. Alternatively or additionally, some constituent elements (eg, a module or a program) may be integrated into one entity, and functions performed by each corresponding constituent element prior to the consolidation may be performed identically or similarly. Operations performed by modules, programs, or other components according to various embodiments are sequentially, parallel, repetitively or heuristically executed, or at least some operations are executed in a different order, omitted, or other operations are added. Can be.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used as meanings that can be commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not interpreted ideally or excessively unless explicitly defined specifically.

The terms used in the present specification are for describing exemplary embodiments and are not intended to limit the present invention. In this specification, the singular form also includes the plural form unless specifically stated in the phrase. As used in the specification, “comprises” and/or “comprising” do not exclude the presence or addition of one or more other elements other than the mentioned elements.

1 is a block diagram showing a smart switchboard according to an embodiment of the present invention. 2 is a block diagram showing a smart switchboard according to another embodiment of the present invention.

Referring to FIG. 1, a smart switchboard 10 according to an embodiment of the present invention may be connected to an electrical facility 20 and a manager device 30 through a network. Networks may include wireless networks and wired networks. For example, the network may be a short-range communication network (e.g., Bluetooth, WiFi direct, or IrDA (infrared data association)) or a telecommunication network (e.g., a cellular network, the Internet, or a computer network (e.g., LAN or WAN)). have.

In one embodiment, the smart switchboard 10 may supply power supplied from the outside to the electric facility 20 through a power line (eg, a cable, a bus bar, etc.). Here, the electric facility 20 may mean a load facility or a customer receiving power. To this end, the smart switchboard 10 may include a switch 130, a transformer 140, and a distribution unit 150.

In one embodiment, the smart switchboard 10 can receive high-voltage power through the switch 130, can be stepped down to a low voltage through the transformer 140, the power through the distribution unit 150 to each customer. Can supply.

In one embodiment, an external cable (not shown) drawn from the outside of the smart switchboard 10 into the high voltage enclosure may be connected to the switch 130. The switch 130 may be connected to the transformer 140 by a high-voltage cable (not shown). High-voltage cables can be used with surface grounding.

In one embodiment, the transformer 140 may step down the high-voltage power applied from the switch 130 to low-voltage power. The transformer 140 may be a dry transformer such as an inflow transformer or a mold transformer.

In one embodiment, the distribution unit 150 may include a breaker type distribution unit including a breaker (not shown) such as ACB or MCCB. For example, the power distribution unit 150 may include at least one of a main circuit breaker, an AC branch circuit breaker, and a DC branch circuit breaker. The power distribution unit 150 may be connected to the transformer 140 through a low voltage connection busbar (not shown). The low pressure connection busbar may be composed of a plurality of busbars. The power distribution unit 150 may include a low-voltage busbar (not shown) connected to each customer. The low voltage busbar may have one end connected to a breaker or fuse. The low pressure busbar may be located inside the low pressure enclosure. The power distribution unit 150 may further include an ammeter, a voltmeter, and an watt hour meter, and in some cases, may further include a power factor compensation facility.

In one embodiment, the smart switchboard 10 may monitor the internal situation of the smart switchboard 10 and the situation of the electrical equipment 20 connected to the smart switchboard 10. To this end, the smart switchboard 10 includes the control unit 100, the sensor unit (the first sensor group 110 and the second sensor group 120), the storage unit 160, the communication unit 170, and the power unit 180. Can include.

In an embodiment, the control unit 100 may control overall operations of each component included in the smart switchboard 10. To this end, the controller 100 may perform data communication through respective components and an internal network. Here, the internal network may be a CAN communication method or an RS485 communication method supporting a multi-master function.

In an embodiment, the control unit 100 may be communicatively connected with the communication unit 201 of the electrical equipment 20 and the manager device 30 via an external network through the communication unit 170. Here, the external network uses any one of Ethernet communication method, CDMA communication method, RS485 communication method, WiFi communication method, Bluetooth communication method, PLC (Power Line Communication) communication method, Zigbee communication method, or a plurality of communication methods. I can. Also, for this purpose, the communication unit 170 may perform wired or wireless communication using the above communication methods to transmit and receive data to and from each other.

In an embodiment, the controller 100 may continuously receive a sensor data stream from the sensor unit. Here, the sensor data stream may be a data set according to the passage of time of sensor data received from a plurality of sensors included in the sensor unit. For example, the sensor data stream is the internal temperature of the smart switchboard 10 and the electrical equipment 20, the temperature of each of the internal equipment, leakage current of the power line, abnormal current, abnormal voltage, smoke, carbon monoxide, vibration, humidity, partial Discharge, arc, breaker status, power line disconnection, etc. may be included. The sensor unit may include a first sensor group 110 that detects a condition of the smart switchboard 10 and a second sensor group that detects a condition of the electric facility 20. A detailed description of the sensor unit will be described later.

In an embodiment, the control unit 100 may store a sensor data stream detected in real time from the smart switchboard 10 and the electrical equipment 20 in the storage unit 160. For example, the sensor data stream may be stored for each time period. Accordingly, the temperature inside the smart switchboard, leakage current, abnormal current, fire, vibration, partial discharge, arc, etc. can be checked by time slot.

In an embodiment, the controller 100 may detect an event in the sensor data stream. Here, the event may be a case in which sensor data measured by a sensor exceeds or falls short of a set value, or falls within a specific range. That is, for example, the controller 100 may detect whether an event has occurred by comparing a preset threshold value with a sensing value received from the sensor unit.

In an embodiment, the control unit 100 may sensitively detect the accumulated fatigue level of the smart switchboard 10 and the electrical equipment 20 by adding a weight when an event occurs continuously. Specific operations related to weighting by the control unit 100 will be described later in FIGS. 3 to 12.

In an embodiment, the control unit 100 may acquire context information of the smart switchboard 10 and the electrical equipment 20 by analyzing the collected sensor data. Here, the situation information includes at least one of temperature information, leakage information, overcurrent and overvoltage information, fire information, vibration information, humidity information, partial discharge information, arc occurrence information, insulation resistance breakdown information, breaker status information, and power line disconnection information. can do.

In an embodiment, the controller 100 may transmit the acquired context information to the manager device 30. In addition, the controller 100 may transmit all sensor data streams as raw data to the manager device for data backup.

In one embodiment, the manager device is, for example, an integrated management server (server), a smartphone (smartphone), a tablet PC (tablet personal computer), a mobile phone (mobile phone), a video phone, an e-book reader (e-book) reader), desktop PC, laptop PC, netbook computer, workstation, PDA (personal digital assistant), PMP (portable multimedia player), MP3 player, mobile medical device , A camera, or a wearable device.

On the other hand, although not shown in the drawing, the smart switchboard 10 may further include a display unit, and the control unit 100 displays a screen for monitoring the internal situation of the smart switchboard 10 and the electric equipment 20 situation through the display unit. can do.

In one embodiment, the power supply unit 180 may apply power to each of the components inside the smart switchboard 10.

In an embodiment, the sensor unit may include a first sensor group and a second sensor group. As described above, the first sensor group 110 may detect the situation of the smart switchboard 10, and the second sensor group 120 may detect the situation of the electric facility 20.

In one embodiment, the first sensor group 110 is located inside the smart switchboard 10 and is an internal temperature sensor, an infrared temperature sensor, a humidity sensor, a current detection sensor, a voltage detection sensor, a smoke sensor, a carbon monoxide sensor, a vibration sensor. , A partial discharge sensor, an arc sensor, a circuit breaker state detection sensor, and a power line disconnection detection sensor.

In an embodiment, the internal temperature sensor may detect the internal temperature of the smart switchboard 10 and transmit the detected internal temperature to the controller 100. The internal temperature sensor may be installed inside the smart switchboard 10.

In an embodiment, the infrared temperature sensor may detect the surface temperatures of the opener 130, the transformer 140, and the power distribution unit 150, and transmit the detected surface temperature to the controller 100. The infrared temperature sensor measures the surface temperature of an object by using the property that the infrared radiation energy emitted by an object varies with temperature. This infrared temperature sensor detects temperature by reacting to infrared rays corresponding to a wavelength of about 5-14 μm. This infrared temperature sensor measures the temperature of an object by converting and detecting the intensity of infrared radiation into heat, converting this temperature change into an electronic signal, amplifying it, and reading the temperature. This infrared temperature sensor has the advantage of being able to measure the temperature of an object that is difficult to directly contact without contacting, so it is stable, and there is no need to wait for heat equilibrium like a material contact thermometer, so the temperature detection speed is high. fast. Such an infrared temperature sensor may be installed inside the smart switchboard 10 such that the detection unit of the infrared temperature sensor faces the opener 130, the transformer 140, and the power distribution unit 150. That is, the infrared temperature sensor is not directly attached to the opener 130, the transformer 140, and the power distribution unit 150. To this end, the infrared temperature sensor is installed at a distance from the opener 130, the transformer 140, and the power distribution unit 150 by the effective sensing distance of the infrared temperature sensor. Meanwhile, in addition, a plurality of infrared temperature sensors may be installed to detect points where heat is generated in various internal facilities inside the smart switchboard 10.

In an embodiment, the humidity sensor may measure the humidity inside the smart switchboard 10. Therefore, it is possible to recognize the possibility of electric leakage due to moisture in advance.

In one embodiment, the current detection sensor is composed of a zero current transistor and a peripheral circuit thereof, and detects a leakage current of power flowing through the power line inside the smart switchboard 10 and transmits it to the controller 100. . In addition, the current detection sensor is composed of a shunt resistor and a peripheral circuit thereof, and detects an operating current of power applied from an input terminal of a power terminal to an output terminal through a power line, and transmits the identified abnormal current to the control unit 100.

In an embodiment, the voltage detection sensor may detect the operating voltage and transmit the identified abnormal voltage to the control unit 100 so as to determine whether power is supplied satisfactorily from the incoming power line.

In an embodiment, the smoke sensor may detect smoke generated inside the smart switchboard 10. The smoke sensor may be used for monitoring a fire in the smart switchboard 10.

In one embodiment, the carbon monoxide sensor may be used for monitoring a fire of the smart switchboard 10, accurately determining a fire situation, and confirming whether or not it is extinguished in a sealed state. For example, the carbon monoxide sensor may measure a change in carbon monoxide generated when a power line (eg, a cable) is carbonized inside the smart switchboard 10. In the power line, carbonization occurs before ignition due to deterioration and partial discharge, and the carbon monoxide sensor 130 uses a measurement technology in the range of 0 to 800 PPM in order to be able to alarm the state of carbonization by measuring the concentration of carbon monoxide generated at this time. It is preferable to use it to analyze whether it is carbonized.

In one embodiment, the vibration sensor may be installed inside or outside the smart switchboard 10 to detect vibration caused by an earthquake or an external shock. For example, the vibration sensor may include an earthquake accelerometer, a 3-axis gyro sensor, and an acceleration sensor that detects the intensity of vibration, which are generally used to detect an earthquake.

In one embodiment, the partial discharge sensor collects partial discharge data from a partial discharge signal generated due to insulation deterioration inside the smart switchboard 10. The partial discharge sensor may include, for example, a UHF sensor, a Transient Erath Voltage (TEV) sensor, a high frequency current transformer (HFCT), an L sensor, and a coupling capacitor. The UHF sensor is a spiral antenna type sensor and may be installed on the inner wall of the panel of the smart switchboard 10. UHF sensors can also be installed in the transformer's enclosure. The UHF sensor may detect an overall partial discharge signal (radiated electromagnetic wave) generated inside the smart switchboard 10. A plurality of UHF sensors may be disposed to increase the accuracy of signal detection. The UHF sensor can be installed close to the device to be measured to increase the measurement sensitivity of the signal. The TEV sensor is installed in a narrow space inside the smart switchboard 10 or near a charging unit, so that the partial discharge signal generated locally can be measured more closely. The HFCT can detect a discharge signal flowing along the ground line. HFCT can be installed in the transformer. The UHF sensor can be installed in an enclosure of a transformer and detects a discharge signal (residue signal) generated by insulation deterioration. L-sensor can detect abnormal signals generated by cable deterioration by attaching it to the ground wire of a transformer or cable. The coupling capacitor may be installed in power devices made of solid insulators. The coupling capacitor can detect a partial discharge signal by using a direct detection method that has better measurement accuracy than a UHF sensor, TEV sensor, or HFCT sensor. The coupling capacitor 115 has an advantage in that the sensitivity is superior to that of other partial discharge sensors, so that the deterioration sign can be detected initially.

In one embodiment, the arc sensor may perform arc detection. As the power equipment inside the smart switchboard 10 deteriorates insulation, the initial microscopic partial discharge signal may advance to an arc. Therefore, such an arc signal can be detected as an optical signal by the arc sensor. For example, the arc sensor may be a light receiving sensor.

In one embodiment, the circuit breaker state detection sensor detects an input current drawn into the circuit breaker assigned to each branch circuit of the distribution unit 150, and measures a detection current having a current rated value lower than the input current. It can detect whether there is an abnormality.

In one embodiment, the power line disconnection detection sensor detects whether the power line supply cable connected to the smart switchboard 10 is disconnected or stolen. At this time, the operating principle of the power line disconnection detection unit 10 may be to detect whether the power line supply cable is disconnected or stolen based on whether or not a single-phase AC220V voltage is applied.

In one embodiment, the second sensor group 120 is located inside the smart switchboard 10 and through a power line connecting the power distribution unit 150 and the electric facility 20, the leakage current of the electric facility 20 Current, abnormal voltage, partial discharge, etc. can be detected. To this end, the second sensor group 120 may include at least one of a current detection sensor, a voltage detection sensor, and a partial discharge detection sensor.

On the other hand, unlike shown in the figure, the second sensor group 120 is located outside the smart switchboard 10, and through the power line connecting the power distribution unit 150 and the electric facility 20 Leakage current, abnormal current, abnormal voltage, partial discharge, etc. can be detected.

In addition, referring to FIG. 2, in one embodiment, the second sensor group 120 is located inside the electrical equipment 20 and is the internal temperature of the smart switchboard, the temperature of each of the internal facilities, the leakage current of the power line, and the abnormal current. , Abnormal voltage, smoke, carbon monoxide, vibration, humidity, partial discharge, arc, circuit breaker status, power line disconnection, etc. can be detected. To this end, the second sensor group 120 is an internal temperature sensor, an infrared temperature sensor, a humidity sensor, a current detection sensor, a voltage detection sensor, a smoke sensor, a carbon monoxide sensor, a vibration sensor, a partial discharge sensor, an arc sensor, a breaker state detection sensor. And at least one of a power line disconnection detection sensor.

Meanwhile, the installation position of the second sensor group 120 has been exemplarily described with reference to FIGS. 1 and 2, and may be disposed at an appropriate position to accurately monitor the situation of the electrical equipment 20. Accordingly, the second sensor group 120 may be installed together inside or outside the smart switchboard 10, inside or outside the electrical equipment 20, or at least one of them.

Meanwhile, since the sensors included in the second sensor group 120 are merely changed to the electrical equipment 20 as a measurement object, a detailed description thereof will be omitted since the detailed functions are the same as those described in the first sensor group 110.

3 is a flowchart illustrating a method of assigning a weight to an event included in a sensor data stream in a smart switchboard according to an embodiment of the present invention. 4 is an exemplary view showing a method of assigning weights to events included in a sensor data stream in a smart switchboard according to an embodiment of the present invention. The operations of FIG. 3 may be performed by the controller 100 of FIG. 1. The six arrows in FIG. 4 denote sensor data streams. There may be one sensor data stream per sensor.

For convenience of explanation, the eleventh sensor 41 of the first sensor group 110 and the 21st sensor 44 of the second sensor group 120 are a temperature sensor, a current detection sensor, or a first sensor group 110. The twelfth sensor 42 and the twenty-first sensor 44 of the second sensor group 120 are a smoke sensor or a partial discharge sensor, the thirteenth sensor 43 and the second sensor group 120 of the first sensor group 110. ), the 23rd sensor 46 is assumed to be a carbon monoxide sensor or an arc sensor.

Referring to FIGS. 3 and 4, in an embodiment, in operation 31, the controller 100 may detect an m-th event in any one of a plurality of sensor data streams received from the sensor unit. For example, the controller 100 may detect an m-th event, which is an event 11, an event 12, an event 13, an event 21, an event 22, and an event 23. Meanwhile,'ev' shown in FIG. 4 is an abbreviation of event.

In an embodiment, the controller 100 may analyze the detected m-th event in operation 32 by applying an m-th weight. For example, if the m-th event is the first event occurring in all sensor data streams, the initial weight may be 1, and the controller 100 may analyze the m-th event by applying the initial weight value 1 have.

In an embodiment, in operation 33, the controller 100 may check whether the m+1th event is detected in the sensor data stream in which the mth event occurs after detecting the mth event. For example, the control unit 100 may check event 11 and event 21, which are m+1th events.

In an embodiment, in operation 34, when the controller 100 detects the m+1th event in the sensor data stream in which the mth event occurs after detecting the mth event, the control unit 100 adds an additional value to the mth weight. The first weight can be determined. For example, the controller 100 may assign an additional value 1 from the weight 1 of the m-th event, and may determine the m+1-th weight as 2. Here, the weight value is only an example, and the m+1th weight may be larger than the mth weight, and the value can be modified.

In an embodiment, the controller 100 may analyze the detected m+1th event by applying the m+1th weight in operation 35. For example, the controller 100 may analyze event 11 and event 21, which are m+1th events, using the weight 2.

In an embodiment, the sensor data stream analysis function in which the weight is considered may be calculated by Equation 1 below.

[Equation 1]

F(t)=f(evm·w, t)

Here, evm is the order of occurrence of the detected events, w is the weight, and t is the time.

Accordingly, as the weight increases, the control unit 100 may calculate the accumulated fatigue level of the smart switchboard 10 and the electrical equipment 20 by using the analysis function. That is, in the case of a sensor data stream in which events occur frequently, the weight is continuously increased, so that the accumulated fatigue level can be calculated.

In an embodiment, the control unit 100 may continuously detect whether an event occurs by returning after operation 35 is completed.

In an embodiment, although not shown in the drawing, the controller 100 may determine the status of the smart switchboard 10 or the electric facility 20 based on a result of analyzing sensor data related to the event. For example, the control unit 100 may more sensitively determine the result of analyzing the sensor data stream of the eleventh sensor 41 and the sensor data stream of the 21st sensor 44 in which the events are continuous compared to other sensors. have.

5 is a flowchart illustrating a method of assigning a weight to an event according to a difference between occurrence times in a smart switchboard according to an embodiment of the present invention. 6 is an exemplary view showing a method of assigning a weight to an event according to a difference between occurrence times in a smart switchboard according to an embodiment of the present invention. The operations of FIG. 5 may be performed by the controller 100 of FIG. 1. For the sake of simplification of the contents, the description that is duplicated with FIG. 3 is omitted.

5 and 6, in an embodiment, the controller 100 may detect an m+1 th event in operation 51. For example, the controller 100 may detect events 11 and 12, which are m+1th events.

In an embodiment, when detecting the m+1 th event in operation 52, the controller 100 may check a difference between the end time of the m th event and the occurrence time of the m+1 th event. For example, the control unit 100 may determine the difference (a) between the end time of the m-th event 11 and the occurrence time of the m+1st event 11, and The difference (b) can be confirmed.

In an embodiment, in operation 53, the controller 100 may check whether a difference between an end time point and an occurrence time point is less than the first reference time. For example, the first reference time may be determined within an appropriate range, and may be determined within a few minutes, particularly for relevance between successive events.

In an embodiment, in operation 54, when the difference between the end point and the occurrence point is less than the first reference time, the controller 100 determines a weighted addition value higher than the added value, and the determined weighted addition value is added to m+ The first weight can be determined. For example, the control unit 100 may determine that the difference (a) is smaller than the first reference time, determine a 1.5 weighted addition value higher than the existing addition value 1, and have a weight higher than 2 in the m+1th event 11 A weight of 2.5 can be given. Of course, this weight value can be changed.

In an embodiment, in operation 55, when the difference between the end point and the occurrence point is greater than the first reference time, the control unit 100 may maintain the additional value and determine the m+1th weight to which the maintained additional value is assigned. have. For example, the control unit 100 may determine that the difference (b) is greater than the first reference time, maintain the additional value 1, and may give the weight 2 to the m+1th event 12.

In an embodiment, the control unit 100 may continuously detect whether an event occurs by returning after operation 54 or operation 55 is completed.

The reason for this weighting is that the smaller the difference between the end point of the m th event and the occurrence point of the m + 1 th event, the higher the accumulated fatigue is likely.

7 is a flowchart illustrating a method of assigning a weight to an event according to a difference in duration in a smart switchboard according to an embodiment of the present invention. 8 is an exemplary diagram showing a method of assigning weight to an event according to a difference in duration in a smart switchboard according to an embodiment of the present invention. The operations of FIG. 7 may be performed by the controller 100 of FIG. 1.

Referring to FIGS. 7 and 8, in an embodiment, the controller 100 may detect an m+1 th event in operation 71. For example, the controller 100 may detect events 11 and 12, which are m+1th events.

In an embodiment, when detecting the m+1 th event in operation 72, the controller 100 may compare the duration of the m th event with the m+1 th event. For example, the control unit 100 may compare the duration of the mth event 11 and the m+1st event 11, and check the duration of the mth event 12 and the m+1th event 12. I can.

In an embodiment, in operation 73, the controller 100 may check whether the duration of the m+1 event is greater than the duration of the m-th event and the difference is greater than the second reference time. For example, the second reference time may be selected from an appropriate range, and may be a time during which the event may be sustained to such an extent that it is highly likely to indicate a certain situation.

In an embodiment, in operation 74, when the duration of the m+1 event is greater than the duration of the m-th event and the difference is greater than the second reference time, the controller 100 adds a weight higher than the additional value. A value may be determined, and an m+1 th weight to which the determined weighted additional value is assigned may be determined. For example, the control unit 100 may determine that the m+1 th event 11 has a longer duration than the m th event 11 and the difference is greater than the second reference time, and a 1.5 weighted additional value higher than the existing additional value 1 Is determined, and a weight 2.5 higher than the weight 2 may be assigned to the m+1 th event 11. Of course, this weight value can be changed.

In an embodiment, in operation 75, when the duration of the m+1 event is smaller than the duration of the m-th event or the difference is smaller than the second reference time, the controller 100 maintains an additional value. , It is possible to determine the m+1th weight to which the maintained additional value is assigned. For example, the control unit 100 may determine that the m+1 th event 12 has a shorter duration than the m th event 12, maintains an additional value of 1 and gives a weight of 2 to the m+1 th event 12. have.

In an embodiment, after operation 74 or operation 75 is completed, the control unit 100 may continuously detect whether an event has occurred or not.

9 is a flowchart illustrating a method of assigning a weight to an event according to the number of other events in a smart switchboard according to an embodiment of the present invention. 10 is an exemplary view showing a method of assigning weights to events according to the number of other events in a smart switchboard according to an embodiment of the present invention. The operations of FIG. 9 may be performed by the control unit 100 of FIG. 1.

9 and 10, in an embodiment, the controller 100 may detect an m+1 th event in operation 91. For example, the controller 100 may detect events 11 and 13, which are m+1th events.

In an embodiment, the controller 100 determines the number of at least one other event occurring in the plurality of sensor data streams within a predetermined time (rt) based on the occurrence time of the m+1th event in operations 92 and 93. You can compare and check if it is more than the standard number. For example, the preset time rt may be around 1 minute. Of course, in addition to the predetermined time (rt) may be selected in an appropriate range in consideration of the location, function, etc. where the smart switchboard 10 is installed. For example, when the reference number is 1, the controller 100 may check the m+1 th event 11 and another event 21 occurring within a predetermined time rt.

In an embodiment, in operation 94, when the number of at least one other event occurring within a predetermined time is greater than or equal to the reference number, the controller 100 determines a weighted additional value higher than the additional value, and assigned the determined weighted additional value. The m+1 th weight can be determined. For example, when the reference number is 1, the control unit 100 may check the m+1 th event 11 and another event 21 that occurred within a predetermined time (rt), and the existing additional value 1 A high 1.5 weight addition value may be determined, and a weight 2.5 higher than the weight 2 may be assigned to the m+1 th event 11. Of course, this weight value can be changed.

In an embodiment, in operation 95, when the number of at least one other event occurring within a predetermined time is less than the reference number, the controller 100 maintains the additional value and applies the m+1th weight to which the maintained additional value is assigned. You can decide. For example, the control unit 100 can confirm that no other event occurs at a predetermined time in the m+1th event 13, maintains an additional value of 1, and gives a weight of 2 to the m+1th event 13 have.

In an embodiment, the control unit 100 may continuously detect whether an event occurs by returning after operation 94 or operation 95 is completed.

11 is a flowchart illustrating a method of assigning a weight to an event according to the number of accumulated events in a smart switchboard according to an embodiment of the present invention. 12 is an exemplary diagram illustrating a method of assigning weights to events according to the number of accumulated events in a smart switchboard according to an embodiment of the present invention. The operations of FIG. 11 may be performed by the control unit 100 of FIG. 1.

11 and 12, in an embodiment, the controller 100 may detect an m+1 th event in operation 111. For example, the controller 100 may detect events 11 and 12, which are m+1th events.

In an embodiment, when detecting the m+1th event in operation 112, the controller 100 may check the number of events accumulated in the same sensor data stream until the m+1th event is detected. For example, the control unit 100 may confirm that the number of accumulated events in the m+1th event 11 is 3, and in the m+1th event 12 that the accumulated number of events is one.

In an embodiment, in operation 113, the controller 100 may check whether the number of accumulated events is equal to or greater than a reference number. For example, the reference number may be determined in consideration of overall age, fatigue, etc. of the corresponding smart switchboard 10 and electrical equipment. For convenience of explanation, when the number of reference is 3, the controller 100 may confirm that the number of accumulated events in the m+1th event 11 is equal to or greater than the reference number.

In an embodiment, in operation 114, when the number of accumulated events is greater than or equal to the reference number, the controller 100 determines a weighted addition value higher than the added value, and determines the m+1th weight to which the determined weighted addition value is assigned. I can. For example, the control unit 100 may determine a 1.5 weighted addition value higher than the existing addition value 1 to the m+1 th event 11, and may assign a weight 2.5 higher than the weight 2 to the m+1 th event 11. Of course, this weight value can be changed.

In an embodiment, in operation 115, when the number of accumulated events is less than the reference number, the controller 100 may maintain the additional value and determine the m+1th weight to which the maintained additional value is assigned. For example, the controller 100 may maintain an additional value 1 of the m+1 th event 12 and may give a weight 2 to the m+1 th event 12.

In an embodiment, the control unit 100 may continuously detect whether an event occurs by returning after operation 114 or operation 115 is completed.

According to various embodiments of the present disclosure, a smart switchboard includes: a sensor unit including a first sensor group for sensing a condition of the smart switchboard and a second sensor group for sensing a condition of an electric facility connected to the smart switchboard; And the control unit determining a status of the smart switchboard and a status of the electrical equipment based on a plurality of sensor data streams sensed by the sensor unit, wherein the control unit includes the plurality of sensors received from the sensor unit A sensor data stream in which the m-th event occurs after detecting the m-th event in any one of the data streams, applying an m-th weight to the detected m-th event, and detecting the m-th event When the m+1th event is detected, the m+1th weight is determined by giving an additional value to the mth weight, and the detected m+1th event can be analyzed by applying the m+1th weight. have. Other embodiments may be possible.

According to various embodiments, the control unit may analyze the detected event using Equation 1 below, and [Equation 1] F(t)=f(evm·w, t) where evm is the detected It is the order of occurrence of events, w is the weight, and t is the time.

According to various embodiments, when detecting the m+1 th event, the controller checks a difference between the end time of the m th event and the occurrence time of the m+1 th event, and the end time and the occurrence When the difference between the viewpoints is less than the first reference time, a weighted addition value higher than the added value may be determined, and an m+1 th weight to which the determined weighted addition value is assigned may be determined.

According to various embodiments of the present disclosure, when the difference between the end point and the occurrence point is greater than a first reference time, the controller may maintain the additional value and determine the m+1th weight to which the maintained additional value is assigned. have.

According to various embodiments, when detecting the m+1 th event, the controller compares the duration of the m th event with the m+1 th event, and compares the duration of the m th event with the m th event. When the duration of the m+1 th event is greater and the difference is greater than the second reference time, a weighted addition value higher than the added value is determined, and the m+1 th weight to which the determined weighted addition value is assigned is determined. I can.

According to various embodiments, when the duration of the m+1 th event is smaller than the duration of the m th event or the difference is smaller than the second reference time, the controller maintains the additional value, and the The m+1th weight to which the retained additional value is assigned can be determined.

According to various embodiments of the present disclosure, when detecting the m+1th event, the control unit includes at least one other event occurring in the plurality of sensor data streams within a predetermined time based on the occurrence time of the m+1th event. It is checked whether the number of is equal to or greater than the reference number, and when the number of the at least one other event occurring within the predetermined time is equal to or greater than the reference number, a weighted additional value higher than the additional value is determined, and the determined weighted additional value The assigned m+1th weight can be determined.

According to various embodiments of the present disclosure, when the number of the at least one other event occurring within the predetermined time is less than the reference number, the controller maintains the additional value, and the m+1th weight to which the maintained additional value is assigned. Can be determined.

According to various embodiments, when detecting the m+1 th event, the controller checks the number of events accumulated in the same sensor data stream until the m+1 th event is detected, and the accumulated event When the number of is equal to or greater than the reference number, a weighted addition value higher than the added value may be determined, and an m+1th weight to which the determined weighted addition value is assigned may be determined.

According to various embodiments of the present disclosure, when the number of accumulated events is less than a reference number, the controller may maintain the additional value and determine an m+1 th weight to which the maintained additional value is assigned.

Therefore, the spirit of the present invention is limited to the above-described embodiments and should not be defined, and all modifications equivalent or equivalent to the claims as well as the claims to be described later fall within the scope of the spirit of the present invention. will be.

10: smart switchboard 20: electrical equipment
30: manager device 100: control unit
110: first sensor group 120: second sensor group
130: switch 140: transformer
150: distribution unit 160: storage unit
170: communication unit 180: power supply unit

Claims (10)

In the smart switchboard,
A sensor unit including a first sensor group sensing a state of the smart switchboard and a second sensor group sensing a state of an electrical facility connected to the smart switchboard; And
Including; a control unit for determining the status of the smart switchboard and the status of the electrical equipment based on the plurality of sensor data streams sensed by the sensor unit,
The first sensor group is disposed inside the smart switchboard to detect the situation of the smart switchboard, and an internal temperature sensor, an infrared temperature sensor, a humidity sensor, a current detection sensor, a voltage detection sensor, a smoke sensor, a carbon monoxide sensor, a vibration sensor. , A partial discharge sensor, an arc sensor, a breaker state detection sensor, and a power line disconnection detection sensor,
The second sensor group is disposed inside the smart switchboard to detect leakage current, abnormal current, abnormal voltage, and partial discharge of electric equipment through a power line connecting the power distribution unit and electric equipment,
The control unit,
Detecting an m-th event in any one of the plurality of sensor data streams received from the sensor unit,
Analyzing the detected m-th event by applying the m-th weight,
When the m+1 th event is detected in the sensor data stream in which the m th event occurs after the m th event is detected, an m+1 th weight is determined by giving an additional value to the m th weight,
The detected m+1 th event is analyzed by applying the m+1 th weight,
The control unit, a smart switchboard, characterized in that for analyzing the detected event using Equation 1 below.
[Equation 1]
F(t)=f(evm·w, t)
Here, evm is the order of occurrence of the detected events, w is the weight, and t is the time.
delete The method of claim 1, wherein the control unit,
When detecting the m+1th event, a difference between the end time of the mth event and the occurrence time of the m+1th event is checked,
When the difference between the end time point and the occurrence time point is less than the first reference time, a weighted addition value higher than the addition value is determined,
A smart switchboard, characterized in that determining the m+1th weight to which the determined weighted additional value is assigned.
The method of claim 3, wherein the control unit,
If the difference between the end point and the occurrence point is greater than the first reference time, the additional value is maintained, and
Smart switchboard, characterized in that determining the m + 1 th weight to which the maintained additional value is assigned.
The method of claim 1, wherein the control unit,
When detecting the m+1 th event, comparing the duration of the m th event with the m+1 th event,
If the duration of the m+1 th event is greater than the duration of the m th event and the difference is greater than the second reference time, a weighted addition value higher than the additional value is determined,
A smart switchboard, characterized in that determining the m+1th weight to which the determined weighted additional value is assigned.
The method of claim 5, wherein the control unit,
If the duration of the m+1 th event is smaller than the duration of the m th event or the difference is smaller than the second reference time, the additional value is maintained,
Smart switchboard, characterized in that determining the m + 1 th weight to which the maintained additional value is assigned.
The method of claim 1, wherein the control unit,
When detecting the m+1th event, check whether the number of at least one other event occurring in the plurality of sensor data streams within a predetermined time based on the occurrence time of the m+1th event is greater than or equal to the reference number,
When the number of the at least one other event occurring within the predetermined time is greater than or equal to the reference number, a weighted additional value higher than the additional value is determined,
A smart switchboard, characterized in that determining the m+1th weight to which the determined weighted additional value is assigned.
The method of claim 7, wherein the control unit,
When the number of the at least one other event occurring within the predetermined time is less than the reference number, the additional value is maintained,
Smart switchboard, characterized in that determining the m + 1 th weight to which the maintained additional value is assigned.
The method of claim 1, wherein the control unit,
When detecting the m+1th event, check the number of events accumulated in the same sensor data stream until the m+1th event is detected,
When the number of accumulated events is greater than or equal to the reference number, a weighted additional value higher than the additional value is determined,
A smart switchboard, characterized in that determining the m+1th weight to which the determined weighted additional value is assigned.
The method of claim 9, wherein the control unit,
If the number of accumulated events is less than the reference number, the additional value is maintained,
Smart switchboard, characterized in that determining the m + 1 th weight to which the maintained additional value is assigned.

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