WO2016153164A1 - System and method for sensing abnormality of stage facility and predicting failure using same - Google Patents

Abstract

The present invention relates to a system and a method for sensing abnormality of a stage facility and predicting a failure using the same, which can predict a failure by sensing and accumulating abnormality of a stage facility, such as a mechanical device, an apparatus, an electric device, or a sound device installed in an auditorium. According to the present invention, abnormality of a stage facility can be sensed by comparing measurement data sensed by a sensor unit having multiple sensors for measuring a state of the stage facility including one or more of a mechanical device, a sound device, an apparatus, and an electric device installed in an auditorium with an abnormality sensing condition which is configured as a range for discrimination of abnormality occurrence and includes one or more of whether a measurement value exceeds a criterion value, a tilt, an error between sensors, and a similarity range and a tangent point state between a real-time trend curve and a configured specified trend curve, and a failure can be predicted by analyzing abnormality sensing information, using a logical operation circuit.

Description

Anomaly Detection of Stage Facilities and Failure Prediction System and Method

The present invention relates to a failure prediction system of a stage facility, and more particularly, abnormality detection of a stage facility capable of predicting a failure by detecting and accumulating an abnormality of a stage facility such as a machine, an apparatus, an electric device, or an acoustic device installed in a performance hall. And a failure prediction system and method using the same.

In general, the performance hall is equipped with stage equipment consisting of various stage equipment and stage machinery. The stage equipment is, for example, a rotating stage, an elevating stage or a box-shaped button or truss frame. In addition, the stage machine includes, for example, a motor for lifting, a hydraulic cylinder, or a lighting device. Therefore, the performance hall can provide various effects by such stage equipment and stage machinery.

However, the performance hall has various accidents such as malfunction of stage equipment or stage machinery, accidents caused by wind pressure or overload or leakage current, or fall or fire caused by the loss of manager or performer. Therefore, the manager should periodically check the abnormality of stage equipment or stage machinery to prevent accidents.

On the other hand, Patent No. 10-1325151 (Integrated Driving Device for Stage Machinery), which is registered with the Korean Intellectual Property Office, has a grid iron installed with a plurality of pulleys having a guide sprocket installed on the ceiling and fixed to the ceiling as described in claim 1. And a mounting frame installed under the grid iron by a wire rope connected through the guide sprocket of the pulley to connect the stage lighting device and the membrane, and to provide power required for the lifting movement of the mounting frame. A driving motor installed on the grid iron and generating a rotational force, and a driving part having a wire rope drum which is connected to the driving motor and a reducer having a reduction shaft and rotates and winds or recommends the wire rope to a rope drum groove of an outer circumference thereof. A bottom plate fixed to an upper surface of the grid iron, and a bar A device for driving a wire rope for a stage machine including a wire drum fixing frame each having a vertical plate having a vertical plate vertically erected in a plate and supporting shafts at both ends of the wire rope drum inserted into a center thereof to be pivotally supported. In the right and left center of the wire rope drum, support shafts are formed to protrude from each other, and one side of the wire rope drum is coupled to the driving motor through a reduction gear shaft of the reducer fixed to the left support plate to enable power transmission. The drive motor is coupled to the electromagnetic brake on the input side and stops the rotation of the wire rope drum only when the drive motor is stopped, and the wire rope drum rotates when the drive motor is operated, and is fixed to the right support plate on the other support shaft of the wire rope drum. When the output side electromagnetic brake is coupled and the input side electromagnetic brake fails Only during stop of that motor, while stopping the rotation of the rope drum during the operation of the driving motor is rotated by the wire rope drum is arranged to intermittent operation of the wire rope drum twice.

This prior art can prevent the accident because the rotation of the wire rope drum can be stopped only when the input side electromagnetic brake or drive motor failure or the drive motor stops through the output side electromagnetic brake.

However, this prior art is difficult to predict because it is operated when a failure or an accident occurs.

On the other hand, the applicant of the present invention has been registered as a No. 10-1270288 (stage device control system) by applying for a patent for predicting the failure of the drive motor for the safety of the stage machine to the Korean Intellectual Property Office. This still another prior art, as described in claim 1, at least one drive motor for providing a driving force to the stage equipment; A double brake composed of at least two brakes mounted on the driving motor, the double brake stopping the driving of the driving motor while operating in duplicate according to a control signal for controlling driving of the driving motor; An encoder for detecting a rotation angle of a drive shaft provided in the drive motor; An operation panel to which control data for controlling the operation of the stage device is input; And at least one self-controller for receiving the control data of the operation panel and the detection signal of the encoder and independently transmitting a control signal for controlling the driving motor based on the received control data and the detection signal. The self-controller is provided in a quantity corresponding to the drive motor and is characterized in that it controls only one drive motor connected as it is connected to the drive motor one-to-one independently, the self-controller, the control data of the operation panel And a main control device which receives a detection signal of the encoder, applies a control signal for controlling the driving motor based on the detection signal, and transmits or receives operation information data of the stage device based on the control signal. And a sub-controller that shares the control data received from the main controller with a detection signal and operation information data in real time, and applies the control signal on behalf of the main controller in response to a malfunction or failure of the main controller. The self controller includes: a master board on which elements constituting the main controller are mounted; A slab board on which elements constituting the sub controller are mounted; And a base board provided with an installation slot in which the slab board and the master board are detachably mounted, and a circuit board for interlocking the master board and the slab board.

And, the prior art as described in claim 5 and 6, the signal generator for transmitting a brake drive signal for controlling the drive of the double brake in accordance with the control signal of the drive motor; And a power controller configured to have a quantity corresponding to the plurality of brakes constituting the double brake, and respectively controlling power applied to the plurality of brakes according to the brake driving signal of the signal transmitter. In addition, the brake detector for detecting the operation of the brake by measuring the current applied to the plurality of brakes through the power controller is further configured in the above-described self-controller.

Another such prior art is that the brake detector measures the current applied to the double brake so that the breakdown can be warned in advance.

However, this other prior art and the prior art described above can only guide a failure with respect to the stage machine of some of the various stage machines. Therefore, not only the various stage machines cannot be comprehensively managed, but also the stage equipment cannot be managed at all.

The object of the present invention for solving the problems of the prior art is to detect the abnormality of the stage equipment or stage machine, accumulate the abnormality detection data to detect the abnormality of the stage equipment that can predict the failure of the stage machine and stage equipment and this The present invention provides a failure prediction system and a method thereof.

The present invention can provide the following examples in order to achieve the above object.

The present invention is a sensor unit having a plurality of detection sensors for measuring the state of the stage facilities including at least one of a mechanical device, a sound, a mechanism, an electrical device installed in the performance hall, and controls the device of the stage facilities, driving And a device controller for transmitting the monitoring information of the device including the stopped state, a repeater for collecting and transmitting the monitoring information of the sensor unit and the device controller, and receiving and accumulating the monitoring information of the sensor unit and the device controller, and storing and storing the stored information. And a management member for generating the abnormality detection information of the stage facility by comparing the monitoring information and the current monitoring information with the set abnormality detection condition, wherein the abnormality detection condition exceeds the reference value of the measured value set as the determination range of the occurrence of the abnormality, Slope, error between sensors, the range of similarity between the real-time trend curve and the set specified trend curve, and An abnormality detection of a stage facility including at least one of the contact states and a failure prediction system using the same may be provided.

In addition, the management member of the above embodiment includes an abnormality detection unit for generating abnormality detection information by comparing the measured value of the sensor unit and the abnormality detection condition, the abnormality detection unit compares the measured value and the set reference value of the sensor unit An error range between the reference value exceeding detection module, a detection sensor of the sensor unit, a comparison detection module configured to detect an abnormal occurrence according to whether the calculated error corresponds to a set error range, and a range from which the present measurement value is set to the past A tilt detection module that detects whether an abnormality occurs by comparing the set slope by calculating the slope according to the variation amount of each section and checking whether the contact state of the sensor unit is maintained for a set time within a predetermined reference range. The contact detection module for detecting whether or not and the measured value of the sensor unit It may provide at least one or more of: a transition curve detection module for generating a real-time trend curve not input, comparing the similarity with the set designation trend curve and comparing with the set range of similarity.

Therefore, the present invention detects and accumulates abnormality of stage facilities including machinery and apparatus of a performance hall collected for a certain period of time to clearly determine whether it is a temporary symptom or an abnormal symptom before failure so that the failure of the stage facilities of a performance hall can be accurately identified. Predictable effects can prevent delays or accidents.

1 is a block diagram illustrating an abnormality detection of a stage facility and a failure prediction system using the same according to the present invention.

Figure 2 is a block diagram showing a management member in the abnormality detection and failure prediction system using the stage apparatus according to the present invention.

3 is a block diagram showing a sensor unit of the present invention.

4 is a block diagram showing an abnormality detecting unit of the present invention.

5 is a flowchart illustrating an abnormal occurrence detection of a stage facility and a failure prediction method using the same according to the present invention.

6 is a flowchart illustrating an abnormality detecting step of the present invention.

7 is a diagram illustrating an example of abnormality detection by determination of exceeding a reference value of the present invention.

8 is a diagram illustrating an example of abnormality detection by comparative determination of the present invention.

9 is a diagram illustrating an example of abnormality detection by inclination determination of the present invention.

10 is a diagram showing an example of abnormality detection by contact determination according to the present invention.

11 is a diagram showing an example of abnormality detection by trend curve determination of the present invention.

12 is a view for explaining a failure prediction by the combination of the logic circuit of the present invention.

Hereinafter, embodiments and examples of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention.

The terms or words used in this specification and claims are not to be construed as limiting in their usual or dictionary meanings, and the inventors may properly define the concept of terms in order to best explain their invention in the best way possible. It should be interpreted as meaning and concept corresponding to the technical idea of the present invention.

In addition, when a part of the present specification "includes" a certain component, it means that it may further include other components, except to exclude other components unless specifically stated otherwise. In addition, the terms "... part", "... means", etc. described in the specification mean a unit which processes at least one function or operation.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of an abnormal occurrence detection of a stage facility and a failure prediction system and method using the same will be described with reference to the accompanying drawings.

1 is a block diagram illustrating an abnormality detection of a stage facility and a failure prediction system using the same according to the present invention, FIG. 2 is a block diagram showing a management member, and FIG. 3 is a block diagram showing a sensor unit.

1 to 3, the abnormality detection of the stage facilities and the failure prediction system using the same according to the present invention, the apparatus unit 500 and the apparatus controller for driving the apparatus unit 500 installed in the stage facilities of the performance hall ( 400, the sensor unit 300 for detecting the status and operation of the stage facility and the device, the relay unit 200 for transmitting data of the sensor unit 300 and the device controller 400, and the device controller 400 And a management member 100 that receives data from the sensor unit 300 and monitors each device and / or facility.

The device 500 includes, for example, a lighting device, a motor, a broadcasting device, a sound device, a lift and a special effect device, a display, and the like installed on a stage of a performance hall. This is not limited to that described for the examples, but is applicable to all devices used in the performance or lecture stage.

The device controller 400 turns on or off the device 500 or monitors the current state and transmits the current state to the management member 100. Here, the device controller 400 is connected to the management member 100 via the relay unit 200 through wired or wireless communication.

The relay unit 200 is connected to the device controller 400 and the sensor unit 300 by wired or wireless communication to collect and manage operating and stop state information of the device and monitoring information including detection signals of the sensor unit 300. Send to member 100.

The sensor unit 300 includes a sensor communication module 320 connected to the relay unit 200 in a wired or wireless manner, and a plurality of detection sensors 310 for outputting a detection signal of the stage facility.

The detection sensor 310 may be, for example, a load detection sensor (not shown) for detecting a load of an object, a tilt sensor (not shown) for detecting a tilt, and a movement and / or a position. Contact sensor (not numbered) for sensing, Voltage sensor (not numbered) for sensing voltage, Current sensor (not numbered) for sensing current, Slack for tensioning wire (SLACK) sensor (not numbered), vibration sensor (not numbered) to detect shaking or vibration of instruments and / or devices, and distance sensor (numbered numbering) to detect distance and / or interference At least one) may be included.

The load sensing sensor is installed in, for example, a lifting panel which is moved up and down by a wire as a load cell, or a stage mechanism for supporting and transporting a person or an apparatus and senses a load.

The voltage and current sensors are abnormal due to voltages and currents, such as overvoltage, overcurrent and / or noise of the stage facility (e.g., driving state of the motor and / or load, wire tension, sound and display 130). Detect it.

The slack sensor outputs a detection signal when the power is energized when the horizontally extending wire is in contact with each other. Since the tension sensing configuration of the wire by the slack sensor is generally known, its description is omitted.

The vibration sensor detects abnormal shaking or vibrations during the movement of the mechanism (for example, the lift or the elevating elevator).

The distance sensor is, for example, a laser sensor for detecting the distance between a person or a device on a stage and interference of a set section.

The contact sensor is turned on and outputs a detection signal when it is close to a position such as the maximum position or the lowest position during the movement of the mechanism.

The sensor unit 300 of the present invention may further include a sensor 310 for detecting temperature, precipitation, air volume and / or fire.

In addition, the sensor 310 of the present invention is not limited to the above description but may be added or deleted by the user or designer's choice, which corresponds to any one of various applications of the present invention.

The management member 100 receives the monitoring information including the device status information of the device controller 400 and the detection signal of the sensor unit 300 of the device and the apparatus (hereinafter collectively referred to as stage facilities) installed on the stage. Detects abnormality by monitoring abnormality.

In addition, the management member 100 accumulates abnormality detection information of each stage facility and predicts the occurrence of a failure according to a set failure prediction condition.

To this end, the management member 100 communicates with the relay unit 200 to receive the monitoring information of the device controller 400 and the sensor unit 300 communication unit 120, the received monitoring information and abnormality detection information And a display 130 for outputting failure prediction information, a data conversion unit 140 for receiving the monitoring information of the device controller 400 and the sensor unit 300 and converting it into set data, and the data conversion unit 140. The abnormality detection unit 150 that detects the occurrence of an abnormality by comparing the converted monitoring information with the set abnormality detection condition and the abnormality detection information generated by the abnormality detection unit 150 are compared with the set failure prediction condition to calculate the failure prediction information. The failure prediction unit 160, the setting sensor 170 for setting the information of the sensor 310 and the stage facilities, the abnormal detection conditions and the failure prediction conditions, the control unit 110 for controlling each configuration, the control unit ( Database by control of 110) And a switch 190, data management unit 180, and a database 190 for storing the above detection and failure prediction information to store and retrieve information and monitoring at least detection information and failure prediction information.

The communication unit 120 communicates with the relay unit 200 by wire or wireless communication. Therefore, the communication unit 120 outputs the received information to the control unit 110.

The display 130 outputs the monitoring information, the abnormality detection information, and the failure prediction information visually by the control of the controller 110.

The data conversion unit 140 converts the detection signal of the sensor unit 300 to the set measurement data from the monitoring information received through the communication unit 120.

The abnormality detecting unit 150 compares the measurement data of the sensor unit 300 converted by the data converting unit 140 with a set abnormal detecting condition and detects an abnormality to generate abnormality detecting information.

The abnormal detection condition may be set in combination with one or more of the time of exceeding the reference value, the error range between the sensors, the slope of the variation of the measured value, whether the contact is detected, the similarity of the trend curve.

Detailed description of the abnormality detection unit 150 as described above will be described with reference to FIG. 4, a block diagram showing the abnormality detection unit 150 of the present invention.

Referring to FIG. 4, the abnormality detection unit 150 includes a reference value excess detection module 152 that detects an abnormality through whether or not the set reference value is exceeded, a comparison detection module 151 that compares a measurement error between the set sensors, and The slope detection module 153 for detecting the abnormality of the slope, the contact detection module 154 for detecting the abnormality through the contact detection, and the transition curve for determining whether the abnormality is compared by comparing the set designated curve with the real-time trend curve. The sensing module 155 is included.

The threshold value exceeding detection module 152 determines that an abnormality has occurred in the stage facility detected by the sensor when the measurement data sensed by the sensor enters the range set as the determination reference value and is maintained for a predetermined time.

Here, the reference value is set to one or more measured values of temperature sensor, smoke sensor, load sensor (not shown), current sensor, voltage sensor, contact sensor, vibration sensor, distance sensor, and humidity sensor. That is, the reference value includes one or more ranges of temperature, smoke amount, vibration amount, moisture, and load of the dangerous level, the range of leakage current or overvoltage, the distance from the interference object, the abnormal position of the apparatus (for example, the maximum moving distance, Maximum height, minimum height). In addition, the reference value includes a range of time.

 The comparison detection module 151 generates abnormality detection information by determining that an abnormality has occurred when a state in which a value of a sensor to be discriminated and a sensor to be compared exceeds a set limit range is maintained for a specified time or more. .

To this end, the comparison detection module 151 sets a comparison item for comparison detection. The comparison item includes one or more of error ranges of the position, inclination and / or unloading of the object to be compared and the object to be compared.

The tilt detection module 153 determines whether the tilt condition corresponds to the set tilt condition. The inclination condition set here is set to the section-specific inclination set in the measured value change amount of the determination target sensor. For example, the inclination condition includes the inclination in the set period of the variation range of the position change per hour of the contact sensor or the distance sensor, the variation range in the constant speed operation section of the current and / or voltage sensor, and the variation range of the vibration value of the vibration sensor.

The contact detection module 154 detects an abnormality by determining whether the state of the sensor is maintained for a set time in a state corresponding to the set contact condition. Here, the contact condition may be selected, for example, at least one of the presence of leakage current, the presence of fire and the presence of interference.

The trend curve detection module 155 inputs the real-time measurement value of the sensor to be discriminated in the set section to generate a real-time trend curve, and compares the set measurement value with a designated trend curve generated by the input measurement section to determine whether there is an abnormality. .

More preferably, the trend curve detection module 155 checks the degree of similarity between the real-time trend curve and the designated trend curve and generates abnormality detection information if it falls within the set range.

Here, the measurement item of the trend curve may include at least one of a comparison between the set designation pattern and the pattern of the current change amount, and the pattern of the storage pattern and the vibration change amount.

The failure prediction unit 160 analyzes the abnormality detection information accumulated in the database 190 to determine the number of times an abnormality is detected during the set period of time, or when the detected abnormality is serious although the period has not elapsed, the abnormality of the associated facilities. The failure prediction is calculated according to the failure prediction conditions such as the number of detections.

 The setting unit 170 sets information of the stage facility and the detection sensor 310, abnormality detection conditions and items, and failure prediction conditions and items. Information of the stage facility and the detection sensor 310, for example, by setting a unique identification code for each sensor, and at least one or more of the location or detection target (device or device), production year, period of use, manufacturer for each device Contains information.

The abnormality detection condition is an item and a reference value respectively set in the module exceeding the threshold value of the abnormality detection unit 150 above the internal value transition curve detection module, and the reference value exceeding the set reference value, the error comparison between the sensors, the slope, the contact point, and the designated trend And trend curves and time conditions for comparing real-time trends.

The failure prediction condition may be calculated by a combination of logic circuits, for example, manufacturing information including a period, a number of times an abnormality was detected, associated facilities, and a use period, a manufacturer, and a manufacturing year.

For example, the failure prediction condition determines that a failure can occur within one month if more than three abnormalities are detected in the same facility during one month.

Or, the failure prediction condition does not occur three times within one month, but when all abnormalities are detected in the interconnected facilities (for example, the load of the lift, the motor driving the lift, and the slope of the lift), It can be set to alarm a fault.

Or, the failure prediction condition is an ordinary indication if the tilt or vibration abnormality of the lift is detected more than three times within one month, but the same abnormality is detected in both new and old facilities as a result of checking the accumulated abnormality detection information. Can be determined.

or. The number of occurrences may be determined as a routine indication when the number of occurrences exceeds the set number but the period between the previous abnormal occurrence date and the current abnormal occurrence date exceeds the set period.

That is, the failure prediction condition, as shown in Figure 12, in the abnormality detection information accumulated during the set period, one or more of the period, the number of times, whether the set maximum measured value is exceeded, the relationship with each facility and manufacturing information It can be calculated as a logic circuit consisting of a combination of one or more of AND, OR, XOR, NOT, NAND, and NOR.

The data manager 180 stores and retrieves the abnormality detection information, the failure prediction information, and the registration information in the database 190 under the control of the controller 110.

The database 190 includes a registration DB 191 for storing information of the sensor 310 and stage facilities, a monitoring DB 194 for storing monitoring information, an abnormal DB 192 for storing abnormality detection information, Prediction DB 193 in which failure prediction information is stored.

The registration DB 191 stores registration information and stage facility information of the sensor. Here, the sensor registration information is one or more of the target facility, the year of installation, the year of manufacture, the manufacturer and the unique identification information, and the stage facility information includes the name of the object, the design drawing, the part number, the manufacturer, the contractor, the price, and the person in charge of construction. Is stored.

The monitoring DB 194 stores monitoring information transmitted from the sensor unit 300 and the device controller 400 in real time. In this case, the monitoring information is accumulated and stored for a set period, and stored for each device, a sensor 310, and a period.

The abnormal DB 192 stores abnormality detection information of the abnormality detection unit 150. The abnormal detection information includes a detection sensor 310 that detects an abnormality, a target facility of the detection sensor 310, an abnormal detection date and time, and a detection item (reference value, contact point, comparison, trend curve, slope).

The prediction DB 193 stores failure prediction information generated by the failure prediction unit 160. Here, the failure prediction information includes abnormality detection information on which the failure prediction is based, a failure prediction and alarm date, a name or a unique identification code of the target stage facility, and more preferably, a report according to a set format and an item. .

The controller 110 receives the monitoring information for a time interval according to the set communication condition, controls the data conversion unit 140 to convert the monitoring information into measurement data of a set format, and stores the converted data in the monitoring DB. The control unit 180 controls.

In addition, when the controller 110 receives the request for monitoring information and / or abnormality detection information of the abnormality detection unit 150 and the failure prediction unit 160, the controller 110 controls the data management unit 180 to store information stored in the database 190. Retrieve and print

In addition, the control unit 110 controls to store the registration information of the sensor and the stage facility set through the setting unit 170, and set the abnormal detection conditions and failure prediction conditions, the abnormal detection unit 150 and the failure prediction unit 160 ).

The present invention includes the configuration as described above, hereinafter will be described in detail with reference to the accompanying drawings a preferred embodiment of the abnormal occurrence detection of the stage facilities according to the present invention and a failure prediction method using the same.

5 is a flowchart illustrating an abnormal occurrence detection of a stage facility and a failure prediction method using the same according to the present invention.

Referring to FIG. 5, an abnormal occurrence detection and detection method of a stage facility according to the present invention includes a setting step (S100) of storing an input registration information and setting an abnormal detection condition and a failure prediction condition, and a stage facility. Monitoring step (S200) for detecting the occurrence of the abnormality by monitoring the stage facilities by receiving the operation and stop state information of the device and the detection signal of the detection sensor 310, the failure through the abnormality detected in the monitoring step (S200) Failure prediction operation step (S300) for calculating the prediction, and the alarm step (S400) for outputting a warning and / or report of the failure.

The setting step S100 is a step in which the control unit 110 controls the setting unit 170 to store the registration information of the sensor and the stage facility input in the database 190, and sets an abnormal detection condition and a failure prediction condition. The manager inputs the manufacturer of the sensor, the facility to be monitored, the unique identification information, the name and manufacturer of the stage facility, the period of use, the design drawing, and the construction information through input devices (eg, a keyboard and a mouse).

In addition, the administrator inputs an abnormal detection condition (for example, reference values, time, contact state, slope, error range, trend curve and similarity reference values, and measurement items according to each reference value) through an input device (not shown). do.

In addition, the administrator inputs a failure prediction condition (for example, the number of abnormal detections per period, the maximum measured value, the associated stage facilities, manufacturing information, a logic circuit including at least one of time and period) through the input device.

Therefore, the setting unit 170 sets input registration information, an abnormal detection condition and a failure prediction condition, and assigns a unique identification code to each detection sensor 310 and the stage facility. In addition, the setting unit 170 sets the abnormality detection condition and the failure prediction condition, and outputs the abnormality detection unit 150 and the failure prediction unit 160.

The monitoring step (S200) is a step of detecting abnormality by monitoring the monitoring information received for each time period set by the control of the controller 110, and storing abnormality detection information including the detected stage facilities and measurement items. A detailed description will be described with reference to FIG. 6.

6 is a flowchart illustrating the monitoring step of the present invention.

Referring to FIG. 6, the control unit 110 collects monitoring information for each set time period (S210), a time synchronization step (S220) for synchronizing time when the set time period elapses, and received monitoring information. The monitoring information storage step (S230) of converting the data into a set format and outputting and storing the abnormality detection determination step (S240) for determining whether an abnormality has occurred by comparing the real-time monitoring information and the set abnormal detection condition, and the abnormality detection information It includes a storage step (S250) for storing.

The information collecting step S210 is a step in which the control unit 110 collects monitoring information for each set time period. When the controller 110 reaches the set time, the controller 110 controls the communication unit 120 to include operation and stop state information of the device controller 400 received through the relay unit 200 and a detection signal of the sensor unit 300. Receiving and blocking monitoring information. The control unit 110 receives the monitoring information for a set time, and when the set time elapses, blocks the information reception for the set blocking time.

The time synchronization step S220 is a step in which the controller 110 synchronizes the current time with the time counted by the device controller 400 after the monitoring information is received for each set time period. Such synchronization of time may be performed when the set blocking time elapses after the reception of the monitoring information, or may be set to a specific time such as morning or afternoon or monthly.

Monitoring information storage step (S230) is a step in which the control unit 110 controls the data conversion unit 140 to convert the received monitoring information into measurement data, and stores the converted data in the database 190.

Here, the sensor unit 300, as described above, the load sensor (not shown in the figure), the tilt sensor, contact sensor, voltage sensor, current sensor, slack sensor, distance sensor, temperature sensor, fire detection sensor 310 And a sensing sensor 310 including one or more of a humidity sensor and a vibration sensor.

The detection signal of each detection sensor 310 is transmitted to the relay unit 200 by wire or wirelessly through the sensor communication module 320, the relay unit 200 is a detection signal including a unique identification code assigned to each sensor And transmits the monitoring information including the operation and stop state information of the stage device as wired or wireless.

The control unit 110 outputs the received monitoring information to the data conversion unit 140 and accumulates and stores the monitoring information converted into measurement data by the data conversion unit 140 to the monitoring DB 194.

The abnormality detection determination step (S240) analyzes whether the abnormality detection unit 150 under the control of the control unit 110 corresponds to the measurement data of each sensor included in the monitoring information and the set abnormality detection condition to determine whether an abnormality has occurred. Step.

Herein, when the monitoring information is received, the controller 110 controls the abnormality sensing unit 150 to output an abnormality sensing command. Therefore, the abnormality detection unit 150 cross compares the monitoring information received in real time with the past monitoring information stored in the monitoring DB, and determines whether it corresponds to the set abnormality detection condition.

In detail, the reference value exceeding detection module 152 may include, for example, the measured temperature range, the amount of smoke, the range of load, the allowable excess range of leakage current, the abnormal position of the apparatus, the amount of vibration, the moisture, and the interference object. Analyze whether the measurement data including one or more of the hazard (distance) ranges falls within the set criteria.

At this time, the module exceeding the reference value, as shown in (a) of FIG. 7, when the time is set to 1000ms, one or more of the measured value of the sensor including the temperature range or the risk range of interference measured during the time is determined If the time maintained in the reference range is measured at 825 ms, it can be judged as a normal symptom, not an abnormality.

Alternatively, as shown in (b) of FIG. 7, if the reference value exceeding detection module 152 has a holding time within the determination target reference range in which the measurement data of the sensor is set to 2000 ms, the abnormality is exceeded. It is determined that this has occurred.

Therefore, the reference value exceeding detection module 152 generates abnormal detection information including unique identification information of the corresponding sensor and a measurement item in which an abnormality has occurred. The abnormality detection information is stored in the abnormality database 192 of the database 190 under the control of the controller 110.

In addition, the comparison detection module 151 is a wire, such as a distance sensor, a load sensor (not shown), a contact sensor, a slack sensor, or a load of a lift, an inclination of a lift, between stage instruments, and a person. One or more measurement data among sensors for detecting distance and interference are analyzed to determine whether there is an error.

That is, the comparison detection module 151 calculates an error range between the measured value of the determination target sensor selected from the above sensors and the measured value of the comparison target sensor set for each sensor, and determines whether it corresponds to the set error range.

Referring to FIG. 8A, the comparison detecting module 151 determines if the maximum error range between the measured value A of the sensor to be compared and the measured value B of the sensor to be discriminated falls within the set error range. Judging by the general signs of the subject.

Referring to FIG. 8B, the comparison detection module 151 calculates an error between the measured value of the determination target sensor and the measured value of the comparison target sensor, which is equal to or greater than the set error range, and the retention time also corresponds to the set time interval. If it is determined that an abnormality has occurred in the determination target. Accordingly, the comparison detection module 151 generates abnormality detection information including information of the determination target and the year, month, and time.

The tilt detection module 153 receives a past measured value and a real time measured value stored in the database 190 to generate a set section graph, calculates a section section slope of the generated graph, and determines whether the set slope condition is satisfied. .

When the data request signal of the tilt detection module 153 is received, the controller 110 controls the data management unit 180 to retrieve the measured values of the corresponding sensors accumulated in the monitoring DB 194 to the tilt detection module 153. Output

Here, the tilt detection module 153 calculates the actual slope calculated for each section from the change amount of the measured value, and calculates the maximum slope for each section by setting a section for each time to the change amount including the maximum value and the minimum value of the measured value. . The slope detection module 153 divides the actual slope into the maximum slope and converts the gradient into a slope between 0 and 1, and compares the gradient with a set slope condition.

Therefore, the tilt detection module 153 determines that an abnormality does not occur in the determination target when a range in which the slope within the time interval set as shown in FIG. 10A does not correspond to the tilt condition is calculated.

Alternatively, the tilt detection module 153 may generate abnormality detection information by determining that an abnormality has occurred in the determination target when the slope of the set section corresponds to the tilting condition as illustrated in FIG. 10B.

The contact detection module 154 detects the state information (for example, leakage current detection of a current sensor, fire detection of a fire sensor, detection of a loose state of a wire of a slack sensor) detected from the detection sensor 310, and contact point. Whether the sensor detects contact).

When the state information of the current determination target is received, the contact detection module 154 checks the past state information of the determination target and compares the current state information of the determination target with the past state information. I do not think.

In addition, referring to FIG. 11, the contact detection module 154 generates abnormality detection information when the detected state is maintained for a set time.

Alternatively, if the current state information and the past state information do not match, the contact detection module 154 may determine whether an abnormality is detected by checking whether the detected state is maintained for a set time.

That is, the contact detection module 154 may generate abnormality detection information by comparing current data with past data and finally determining whether the abnormality is a time condition.

Referring to FIGS. 12A and 12B, the trend curve detection module 155 inputs the measured value of the determination target sensor received in real time for a set time to generate a real time sensor trend curve B, Similarity with the set designated trend curve A is calculated.

Accordingly, the trend curve detection module 155 generates abnormality detection information when the similarity between the real-time sensor trend curve and the designated trend curve falls within the set range.

In the storing step, the controller 110 stores the abnormality detection information generated by the abnormality detection unit 150 in the database 190. The data manager 180 classifies and stores the abnormality detection information in the abnormal DB 192 for each sensor and / or measurement item under the control of the controller 110.

The failure prediction operation step S300 is a step of analyzing the accumulated abnormality detection information and generating failure prediction information when the set failure prediction condition is met. The failure prediction unit 160 analyzes the abnormality detection information accumulated during the period set in the database 190 and generates failure prediction information when it corresponds to the set failure prediction condition.

Here, the failure prediction conditions include one or more of the duration and time conditions, the number of occurrences, the type and number of the stage facilities to be connected, the period of use, the year of manufacture, and the maximum measurement value set, such as 'AND', 'OR', 'NAND', Is set by a logic circuit by a combination of one or more of 'NOR', 'XOR', and 'NOT'.

That is, the failure prediction unit 160, for example, predicts the occurrence of a failure when more than a few times the number of abnormal detections during the set period, and even if the number of abnormal detections more than a few times during the set period does not fall within the manufacturing year or the maximum measured value range The probability of failure is low.

The alarm step S400 is a step in which the control unit 110 receives the failure prediction information of the failure prediction unit 160 and outputs the failure prediction information through a display to alarm. In addition, the controller controls the failure prediction unit 160 to generate and output a report including the corresponding stage facility and the sensor to be discriminated.

As described above, the present invention measures a state of a target facility by installing a plurality of sensors in a stage facility constructed by a plurality of machines and apparatuses, accumulates whether or not an abnormality occurs, and based on accumulated abnormality detection information. It is possible to accurately predict the failure of the stage equipment (sound, instruments, machinery, electrical equipment), thereby preventing the delay or cancellation of the performance due to the sudden failure of the stage equipment.

Claims (18)

1. A sensor unit having a plurality of detection sensors for measuring a state of a stage facility including at least one of a mechanical device, a sound device, and an electric device installed in a performance hall;

   An apparatus controller for controlling the apparatus of the stage facility and transmitting monitoring information of the apparatus including driving and stopping states;

   A repeater for collecting and transmitting monitoring information of the sensor unit and the device controller; And

   Receiving and accumulating the monitoring information of the sensor unit and the device controller, and includes a management member for generating the abnormal detection information of the stage facility by comparing the stored past monitoring information and the current monitoring information with the set abnormal detection conditions,

   The abnormal detection condition is

   Abnormality detection of the stage facility including one or more of the reference value of the measured value set as the determination range of the occurrence of abnormality, the slope, the inter-sensor error, the similarity range of the real-time trend curve and the designated designated trend curve, and the contact state, and the failure using the same Prediction system.
2. The method of claim 1, wherein the management member

   An abnormality detection unit for generating abnormality detection information by comparing the measured value of the sensor unit with the abnormality detection condition;

   The abnormality detection unit

   A reference value exceeding detection module for comparing the measured value of the sensor unit with a set reference value;

   A comparison detection module for calculating an error range between the detection sensors of the sensor unit and detecting an abnormal occurrence according to whether the calculated error corresponds to a set error range;

   A tilt detection module configured to input a current measurement value from the current for each set section, calculate a slope according to the variation amount for each section, and detect whether an abnormality occurs by comparing with the set slope;

   A contact detection module for detecting whether an abnormality is generated by checking whether the contact state of the sensor unit is maintained for a set time within a predetermined determination reference range; And

   A trend curve detection module configured to generate a real-time trend curve input during the set time interval of the sensor unit, and compare the similarity with the set designated trend curve to detect an abnormality by comparing with a range of the set similarity degree; An abnormality detection of a stage facility including an abnormality and a failure prediction system using the same.
3. The method of claim 1, wherein the detection sensor

   Load sensor to detect load, voltage sensor, current sensor, distance sensor to detect distance from object, contact sensor to detect movement position and contact status, tilt sensor to detect tilt, vibration sensor to detect vibration And an abnormality detection of a stage facility which is one or more of a slack sensor for detecting a horizontal state of a wire, and a failure prediction system using the same.
4. The method of claim 3, wherein the sensor unit

   An abnormality detection of a stage facility and a failure prediction system using the same further comprising a sensor communication module connected to the repeater and wired or wireless communication.
5. The method of claim 1, wherein the reference value is

   Abnormality detection and failure prediction system using the same, characterized in that the abnormality occurrence range for the measurement value for one or more of the temperature, smoke amount, load, leakage current, position range, vibration amount, moisture, interference.
6. According to claim 1, wherein the abnormality detection condition

   Abnormality detection of the stage facility further comprising a time range maintained within a determination range corresponding to one or more of whether the measured value exceeds the reference value, the slope, the error between the sensors, the similarity range of the real-time trend curve and the set designated trend curve and the contact state. And a failure prediction system using the same.
7. The method of claim 1 wherein the management member

   An abnormal DB in which abnormal detection information is accumulated; And

   An abnormality detection of the stage facility and a failure prediction system using the same, including a monitoring DB that stores the real-time monitoring information received from the sensor unit and the device controller.
8. The method of claim 1, wherein the management member

   Further comprising a failure prediction unit for predicting a failure by comparing the failure prediction conditions set by the combination of the logic circuit combined at least one of the abnormality detection information and AND, OR, NOR, XOR, NAND and NOT, and alarms,

   The fault prediction condition

   An abnormality detection system and a failure prediction system using the same, characterized in that one or more of the period, the number of times, the occurrence of the abnormality is detected, the highest measured value, the period of use, manufacturing information and time.
9. A setting step of storing stage facility information including apparatuses and apparatuses installed in a performance hall and information of a plurality of detection sensors installed in the stage facility, and setting and registering an abnormal detection condition and a failure prediction condition;

   A monitoring step of generating and accumulating abnormality detection information by receiving control and status information of a device included in the stage facility and a detection signal of the detection sensor to determine whether an abnormality has occurred under the abnormality detection condition; And

   A failure prediction operation step of predicting a failure by analyzing the abnormality detection information generated and accumulated in the monitoring step as the failure prediction condition,

   The abnormal detection condition is

   It includes one or more of the reference value of the measured value set as the determination range of the occurrence of abnormality, the slope, the inter-sensor error, the similarity range of the real-time trend curve and the set designated trend curve and the contact state,

   The fault prediction condition

   An abnormality detection method of a stage facility and a failure prediction method using the same, wherein the abnormality detection information and one or more of AND, OR, NOR, XOR, NAND, and NOT are set in combination.
10. The method of claim 9, wherein said monitoring step

    The temperature range measured from the sensor and the amount of smoke. Determine whether the measurement data including one or more of the load range, the allowable excess range of the leakage current, the abnormal position of the apparatus, the vibration amount, and the dangerous range of the moisture and the interference object correspond to the above abnormality detecting condition. Detecting abnormality of stage facilities detecting abnormality and failure prediction method using same.
11. The method of claim 10, wherein the abnormality detection condition

    An abnormality detection of a stage facility including a time range maintained above the reference value and a failure prediction method using the same.
12. The method of claim 9, wherein said monitoring step

    The error range of the measured value including at least one of wire sag, lift load, tilting, distance between stage instruments, and distance between humans, and interference, and the measured value of the measured comparison target correspond to the abnormality detection condition. Detecting abnormality of the stage facility that detects abnormality by judging whether it is a fault and a failure prediction method using the same
13. The method of claim 12, wherein the abnormality detection condition

    Detection of abnormality occurrence of the stage facility and a failure prediction method using the same further comprising a time range in which the error of the measured value is maintained.
14. The method of claim 9, wherein said monitoring step

    Stage facility for detecting abnormality by judging whether it falls within the set slope of any one selected measurement value among the fluctuation range of position change per hour, fluctuation range of current and / or voltage sensor, and fluctuation range of vibration value and the abnormality detection condition Abnormality detection and fault prediction method.
15. 15. The method of claim 14, wherein the slope is

    Abnormality detection of the stage facility calculated from the section into which the measured values from the past to the present are input and a failure prediction method using the same.
16. The method of claim 9, wherein said monitoring step

    Detecting abnormality of the stage facility that detects abnormality by determining whether the contact state of the object to be discriminated including one or more of leakage current, fire, loose state of wire, and whether the contact is detected corresponds to the abnormality detection condition, and a failure prediction method using the same .
17. 17. The method of claim 16, wherein the abnormality detection condition further comprises an abnormality holding time range of the contact state and a failure detection method using the same.
18. The method of claim 9, wherein said monitoring step

    An abnormality detection method of a stage facility that detects an abnormality by judging whether a real-time trend curve generated in a pattern of change by inputting at least one of voltage, current, and vibration measurement values corresponds to the abnormality detection condition, and a failure prediction method using the same.

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