KR102230118B1 - Elevator monitoring system for customer safety based on Internet of Things, and monitoring method thereof - Google Patents

Abstract

The present invention relates to an IoT-based elevator monitoring system and monitoring method for customer safety. The present invention includes a first step of the integrated control center 100u analyzing the sensing information for each elevator ID stored in the control DB server 100b, extracting a normal operation pattern, and storing it in the control DB server 100b; A second step of analyzing whether the integrated control center 100u deviates for each sensing parameter constituting the normal operation pattern; And a third step of transmitting an alarm to the control center monitor 100 assigned to an elevator that deviates from the normal operation pattern when the integrated control center 100u deviates from the normal operation pattern for each sensing parameter. It characterized in that it comprises a.
As a result, the elevator remote monitoring system is initially formed and released on the elevator, but it is not applied to the previous elevator, so the installed elevator collects and transmits the status of the elevator using IoT-based sensors and communication technology. -Storage-analyze, and the integrated control center provides the effect of detecting abnormalities in advance from the analyzed information, notifying the on-site A/S personnel for preventive maintenance, and notifying failures.

Description

IOT-based elevator monitoring system and monitoring method for customer safety {Elevator monitoring system for customer safety based on Internet of Things, and monitoring method thereof}

The present invention relates to an IoT-based elevator monitoring system and monitoring method for customer safety, and more specifically, by attaching various IoT-based sensors to elevators for passengers, cargoes, and vehicles installed and operated in existing buildings. ) Status is collected and the status information collected through IoT communication network (RoLa) or Internet communication is transmitted to the integrated control center, the integrated control center analyzes whether the elevator is in normal operation, and the integrated control center Customers to quickly respond to safety accidents by establishing a preventive maintenance plan from the analyzed information and notifying the on-site A/S person of A/S via mobile or immediately notifying A/S in the event of a breakdown It relates to an IoT-based elevator monitoring system and monitoring method for safety.

Recently, Korea is one of the world's three largest elevator markets, with 44,000 elevators installed as of 2016, and the elevator market continues to increase as the population density increases due to aging and urbanization.

The domestic elevator market is divided between large foreign companies and small and medium-sized companies, and most of the elevators installed in Korea are products that cannot be monitored remotely. In the last 5 years, 395 serious elevator accidents have occurred.

Accordingly, in the relevant technical field, there is a need for technology development to enable operation in the “predictive” and “preventive” aspects of leap forward to the 4th industrial revolution by grafting IoT technology to solve these problems.

Korean Patent Application No. 10-1998-0043828 (1998.10.20) "DISPLAY CONTROL APPARATUS OF ELEVATOR FOR DISPLAYING INFORMATION THROUGH DISPLAY UNIT"

The present invention is to solve the above problems, and a remote monitoring system for elevators is initially formed and released in elevators, but it is not applied to previous elevators, so IoT-based sensors and communication technology are used in the installed elevators. It collects, transmits, stores, and analyzes the state of the elevator, and the integrated control center detects abnormalities in advance from the analyzed information, informs the on-site A/S personnel for preventive maintenance, and provides an IoT-based system for customer safety. It is to provide an elevator monitoring system and monitoring method.

In addition, the present invention is an IoT-based elevator for customer safety to increase the efficiency of accident prevention and A/S by detecting an abnormality in advance and notifying preventive maintenance, unlike the existing A/S processing according to abnormality detection. It is to provide a monitoring system and monitoring method.

In addition, in the present invention, the existing elevator companies use their own dedicated equipment to check the elevator status, and the A/S personnel directly connect the elevator control panel through serial communication to check the status and determine whether there is an abnormality, but a significant number of them are obsolete. Since the condition is not collected accurately, the status collection controller (MCU) is connected to the control panel, and the elevator status is collected through protocol analysis, and when protocol analysis is not possible, various sensors attached to the controller (Temperature and humidity, harmful gas, gyro, location, etc.)By analyzing the information continuously collected, the normal operation pattern of each elevator is extracted to predict the possibility of normal operation or failure. It is to provide an IoT-based elevator monitoring system and monitoring method.

However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, in the IoT-based elevator monitoring method for customer safety according to an embodiment of the present invention, the integrated control center 100u analyzes sensing information for each elevator ID stored in the control DB server 100b. A first step of extracting the normal operation pattern and storing it in the control DB server 100b; A second step of analyzing whether the integrated control center 100u deviates for each sensing parameter constituting the normal operation pattern; And a third step of transmitting an alarm to the control center monitor 100 assigned to an elevator that deviates from the normal operation pattern when the integrated control center 100u deviates from the normal operation pattern for each sensing parameter. It characterized in that it comprises a.

At this time, the present invention, before the first step, the elevator controller 600a formed in each elevator connected by CAN communication with the building integrated communication module 500 is sensed according to a preset cycle from the sensor communication module 600 for each elevator. A first preparation step of collecting information; It characterized in that it further comprises.

In addition, in the present invention, between the first preparation step and the first step before, the integrated control center 100u is connected to the building integrated communication module 500 through the network 200 or the IoT communication network 300 through CAN communication. A second preparation step of receiving sensing information from the elevator controller 600a and storing the sensing information in the control DB server 100b as metadata for each elevator ID; It characterized in that it further comprises.

In addition, the present invention, after the third step, the control center monitor 100 receiving the alarm through the network 200 or the IoT communication network 300, the mobile terminal corresponding to the A/S driver of the elevator corresponding to the alarm A fourth step of transmitting A/S information to 400 through an automatic call connection method or a Push message transmission method; It characterized in that it further comprises.

In order to achieve the above object, the IoT-based elevator monitoring system for customer safety according to an embodiment of the present invention, when the normal operation pattern is extracted by analyzing the sensing information for each elevator ID by the control server 100a. A control DB server (100b) for storing an elevator ID as metadata and a normal operation pattern; And it performs analysis on whether it deviates for each sensing parameter constituting the normal operation pattern, and if it deviates from the normal operation pattern for each sensing parameter, transmits an alarm to the control center monitor 100 assigned to an elevator that deviates from the normal operation pattern. Control server (100a); It characterized in that it comprises a.

In addition, the present invention is connected to the building integrated communication module 500 and CAN communication to form each elevator, the elevator controller 600a for collecting sensing information according to a preset period from the sensor communication module 600 for each elevator; It characterized in that it further comprises.

In addition, the present invention, the control server (100a) receives sensing information from the elevator controller (600a) connected through CAN communication with the building integrated communication module 500 through the network 200 or the IoT communication network 300, each It is characterized in that the elevator ID is stored as metadata, and the sensing information is stored in the control DB server 100b.

In addition, the control center monitor 100 receiving the alarm, through the network 200 or the IoT communication network 300, an automatic call connection method to the mobile terminal 400 corresponding to the A/S driver of the elevator corresponding to the alarm or It is characterized in that A/S information is transmitted through a push message transmission method.

The IoT-based elevator monitoring system and monitoring method for customer safety according to an embodiment of the present invention is a remote monitoring system initially formed in the elevator and released, but it is not applied to the previous elevator. Using the sensor and communication technology, the elevator status is collected, transmitted, stored, and analyzed, and the integrated control center detects abnormalities in advance from the analyzed information, informs on-site A/S personnel for preventive maintenance, and reports failure. Provides an effect that can be done.

In addition, the IoT-based elevator monitoring system and monitoring method for customer safety according to another embodiment of the present invention detects an abnormality in advance and informs preventive maintenance, unlike the existing A/S processing according to abnormality detection. It provides the effect of promoting customer safety to increase the efficiency of prevention and A/S.

In addition, in the IoT-based elevator monitoring system and monitoring method for customer safety according to another embodiment of the present invention, the A/S personnel use their own dedicated equipment to check the elevator status by existing elevator companies. The status is checked by connecting directly with serial communication to check the status and determine whether there is an abnormality, but since many of the old products do not collect the status accurately, connect the status collection controller (MCU) to the control panel and analyze the protocol. The elevator status is collected through the system, and if protocol analysis is not possible, the normal operation pattern of each elevator is analyzed by continuously analyzing information collected by various sensors (temperature and humidity, harmful gas, gyro, position, etc.) attached to the controller. pattern) to predict the possibility of normal operation or failure.

1 is a diagram showing an IoT-based elevator monitoring system 1 for customer safety according to an embodiment of the present invention.
Figure 2 is a block diagram showing the components of the control server (100a) of the IoT-based elevator monitoring system 1 for customer safety according to an embodiment of the present invention.
3 is a flowchart illustrating an IoT-based elevator monitoring method for customer safety according to an embodiment of the present invention.

Hereinafter, a detailed description of a preferred embodiment of the present invention will be described with reference to the accompanying drawings. In the following description of the present invention, if 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 the present specification, when one component'transmits' data or a signal to another component, the component can directly transmit the data or signal to the other component, and through at least one other component It means that data or signals can be transmitted to other components.

1 is a diagram showing an IoT-based elevator monitoring system 1 for customer safety according to an embodiment of the present invention. Referring to FIG. 1, the IoT-based elevator monitoring system 1 for customer safety includes an integrated control center (100u), a network (200), an IoT communication network (300), a plurality of mobile terminals (400), and a building integrated communication module. 500, may include a user building (elevator) equipment 600u.

The integrated control center 100u may include a plurality of control center monitors 100, and a control server 100a and a control DB server 100b.

The network 200 is a communication network, which is a high-speed backbone network of a large communication network capable of large-capacity, long-distance voice and data services, and may be a next-generation wired or wireless network for providing Internet or high-speed multimedia services. When the network 200 is a mobile communication network, it may be a synchronous mobile communication network or an asynchronous mobile communication network. As an embodiment of the asynchronous mobile communication network, there is a wideband code division multiple access (WCDMA) communication network. In this case, although not shown in the drawing, the network 200 may include a Radio Network Controller (RNC). On the other hand, although the WCDMA network was taken as an example, it may be a 3G LTE network, a 4G network, a next-generation communication network such as 5G, and other IP-based IP networks. The network 200 is an integrated control center 100u, an IoT communication network 300, a plurality of mobile terminals 400, an integrated building communication module 500, a user building (elevator) equipment 600u, and other signals between systems. And it serves to transfer data to each other.

The IoT communication network 300 is connected through the network 200 and a gateway (G/W) to transmit and receive IoT-based signals and data between the integrated control center 100u, the building integrated communication module 500, and the mobile terminal 400. The gateway (G/W) is one of the protocol converters, the mobile terminal 400 connected wirelessly through the mobile communication network, the integrated control center 100u connected by wire through the IP network, and integrated building communication. It enables data transmission and reception between the modules 500. The gateway is a wap gateway, and may include a protocol stack for the mobile terminal 400 to access the integrated control center 100u and the integrated building communication module 500.

The user building (elevator) equipment 600u includes an elevator-specific sensor communication module 600 and an elevator controller 600a installed in the elevator.

In addition, the sensor communication module 600 for each elevator may include a temperature and humidity sensor 610, a gyro sensor 620, a position sensor 630, a door opening sensor 640, and a harmful gas sensor 650.

The sensor communication module 600 for each elevator consists of various sensors installed in the elevator, and a sensor that transmits the collected sensing information to the building integrated communication module 600 connected to the elevator control panel through CAN (Controller Area Network) communication. Corresponding to the communication equipment, the transmission of the sensing information may be performed by the elevator controller (600a).

The integrated building communication module 600 is connected to the elevator control panel, collects sensing information collected from the sensor communication module 600 for each elevator, and monitors the status of each elevator through the network 200 or the IoT communication network 300. ) (100u).

The integrated control center 100u includes a plurality of control center monitors 100, and a control server 100a and a control DB server 100b, and the control server 100a is transmitted from each elevator controller 600a. The obtained sensing information is stored in the control DB server 100b for each elevator ID through the communication module 110a, and the stored sensing information for each elevator ID is analyzed to extract the normal operation pattern, and from the normal operation pattern. In case of deviation, A/S information may be transmitted to the mobile terminal 400 via the network 200 and/or the IoT communication network 300 to be informed.

Figure 2 is a block diagram showing the components of the control server (100a) of the IoT-based elevator monitoring system 1 for customer safety according to an embodiment of the present invention. Referring to FIG. 2, the control server 100a may include a communication module 110a, an analysis module 120a, and an alarm module 130a. More specifically, the communication module 110a is connected to the building integrated communication module 500 through CAN communication, and when sensing information is collected according to a preset period from the sensor communication module 600 for each elevator formed in each elevator, CAN communication Control DB by receiving sensing information as metadata for each elevator ID through the network 200 and/or IoT communication network 300 from the building integrated communication module 500 that has received the sensing information from the elevator controller 600a connected by It is stored in the server (100b).

More specifically, the sensing information includes temperature and humidity information measured by the temperature and humidity sensor 610 included in the sensor communication module 600 for each elevator, information on the inclined angle of the elevator measured by the gyro sensor 620, and a position sensor. It may include the exact position arrangement information measured by 630, the door opening operation information at the correct position measured by the door opening sensor 640, the harmful gas information measured by the harmful gas sensor 650.

Here, the position sensor 630 is provided with a radar luminous end and a radar luminous end, or an infrared luminous end and an infrared light receiving end. It is possible to generate the exact position arrangement information, which is information about the exact position corresponding to the position at which is stopped.

The door opening sensor 640 is also provided with a radar luminous end and a radar luminous end, or an infrared luminous end and an infrared light receiving end, which are the same configuration as the position sensor 630, and has one luminous end and one receiving end on both doors of the elevator It is possible to generate door opening operation information corresponding to the operation state of both doors of the elevator at the correct position of.

The analysis module 120a analyzes sensing information for each elevator ID stored in the control DB server 100b, extracts a normal operation pattern, and stores each elevator ID as metadata in the control DB server 100b.

In addition, the analysis module 120a performs an analysis on whether or not each sensing parameter information constituting the normal operation pattern is deviated through an artificial intelligence algorithm, and transmits each sensing parameter information and an elevator ID that deviate to the alarm module 130a.

More specifically, the analysis module 120a may perform analysis based on machine learning with an artificial intelligence algorithm. That is, the analysis module 120a may analyze the sensing information distributed and stored for each elevator ID in the control DB server 100b through a machine learning algorithm, generate a normal operation pattern, and issue a state management command. More specifically, the machine learning algorithm used in the analysis module 120a may be one of a decision tree classification algorithm, a random forest classification algorithm, and a support vector machine (SVM) classification algorithm.

The analysis module 120a analyzes and analyzes each parameter information constituting the sensing information distributed and stored in the control DB server 100b, such as temperature and humidity information, angle information, position arrangement information, door opening operation information, and harmful gas information. By extracting feature information corresponding to at least one analog voltage range and learning the extracted feature information using at least one or more of a plurality of machine learning algorithms, the abnormal state may be analyzed as a result of learning.

That is, the analysis module 120a may apply an ensemble structure composed of a plurality of complementary machine learning algorithms in order to improve the accuracy of the result of determining the status of each parameter information. Here, the decision tree classification algorithm is a method of learning in a tree structure to derive results, so that result interpretation and understanding are easy, data processing speed is fast, and rules can be derived based on a search tree. RF can be applied as a way to improve the low classification accuracy of DT. The random forest classification algorithm slaughters the result of learning a plurality of DTs in an ensemble. Although it is difficult to understand the result than DT, the result accuracy may be higher than that of DT. SVM can be applied as a way to improve overfitting that can occur through DT or RF learning. The SVM classification algorithm classifies data belonging to different classifications on a plane-based basis, and generally has high accuracy and may structurally have low sensitivity to overfitting.

In addition, the analysis module 120a may perform a deep learning process by using whether or not an abnormal state for each parameter information constituting sensing information, which is data refined after machine learning, is an abnormal state. As an example of a deep learning method performed by the analysis module 120a, a cycle time, which is a time taken for one entire process, when repetitive work for each pattern data formed by analyzing whether or not an abnormal state for each parameter information is detected, and In a manner that minimizes the reduction of the tact time, which is the maximum time of one working time constituting each repetitive task, it can be performed according to the conversion and application of the deep learning algorithm program for the process parameter information of each sensing information. .

In another embodiment of the present invention, the analysis module 120a analyzes the elevator control panel and interface protocol to check the state of the elevator when the installed elevator control panel and the building integrated communication module 500 to be developed are interfaced through a serial communication method. can do. The analysis method by the analysis module 120a refers to the service manual and equipment specification sheet, and after connecting the serial communication analyzer, continuously monitors the operating state of the elevator, analyzes the information input to the analyzer, and matches the state of the elevator. This control value can be analyzed, and in the case of equipment described in the protocol, the protocol for each equipment can be arranged and accumulated in the control DB server 100b.

Thereafter, the analysis module 120a analyzes and finds a normal state and an abnormal condition (whether or not an abnormality is identified for each elevator abnormality type) in a predetermined pattern based on the state information of each elevator. It can be done by way.

When the alarm module 130a receives each sensing parameter information and elevator ID from the analysis module 120a out of the normal operation pattern for each sensing parameter information, the control center monitor 100 assigned to the elevator ID deviating from the normal operation pattern By transmitting the alarm including each sensing parameter information and elevator ID, the A/A of the elevator corresponding to the alarm through the network 200 and/or the IoT communication network 300 by the control center monitor 100 that received the alarm. Each sensing parameter information and elevator ID, which are A/S information, may be transmitted to the mobile terminal 400 corresponding to the S driver through an automatic call connection method or a push message transmission method.

In another embodiment of the present invention, the analysis module 120a may store and manage temperature and humidity information, angle information, correct position arrangement information, door opening operation information at the correct position, and harmful gas information for each elevator ID.

Analysis module (120a) is the temperature and humidity information received from the communication module (110a), angle information, position alignment information, door opening operation information at the correct position, and time-series change in harmful gas information for each elevator ID for each elevator ID. When output to the control center monitor 100 assigned to and receives malfunction event information from the control center monitor 100, an event alarm for this is transmitted through the network 200 and/or the IoT communication network 300 through a mobile terminal ( 400).

Meanwhile, although the sensor communication module 600 for each elevator is not shown, the elevator CCTV may be further included, and the analysis module 120b is the number of people in the time zone through image analysis for each elevator ID based on the CCTV images captured by the elevator CCTV. It is possible to generate speed information for the elevator by analyzing it.

The analysis module 120b transmits the generated speed information to the elevator control panel connected to the building integrated communication module 500 through the network 200 and/or the IoT communication network 300, so that the speed proportional to the number of people for each elevator is By being adjusted, it is possible to maximize the operating efficiency of the elevator.

On the other hand, the analysis module 120b can generate elevator general status information by chart or color based on the speed information and output it to the control center monitor 100 assigned for each elevator ID, and the operation of the elevator based on the speed information. By converting the status (control preparation, normal operation, equipment standby, manual mode) into time-series information and transmitting it to the elevator control panel connected to the building integrated communication module 500 through the network 200 and/or the IoT communication network 300, By controlling the speed proportional to the number of people for each elevator, it is possible to maximize the operating efficiency of the elevator.

In addition, the analysis module 120b generates operation time information for each elevator ID, end time information, alarm occurrence time for each elevator, end time of the day, and elapsed time of operation based on the operation state information of the elevator. And/or it may be transmitted to the mobile terminal 400 through the IoT communication network 300 to be used as an auxiliary material for A/S processing.

3 is a flowchart illustrating an IoT-based elevator monitoring method for customer safety according to an embodiment of the present invention. Referring to FIG. 3, the elevator controller 600a formed for each elevator connected through CAN communication with the building integrated communication module 500 collects sensing information according to a preset period from the sensor communication module 600 for each elevator (S110). .

After step (S11), the integrated control center (100u) receives sensing information from the elevator controller (600a) connected through CAN communication with the building integrated communication module 500 through the network 200 and/or the IoT communication network 300 Each elevator ID is stored as metadata in the sensing information in the control DB server 100b (S120).

After step S120, the integrated control center 100u analyzes the sensing information for each elevator ID stored in the control DB server 100b, extracts the normal operation pattern, and stores it in the control DB server 100b (S130). .

After step S130, the integrated control center 100u analyzes whether it deviates for each sensing parameter constituting the normal operation pattern (S140).

After step (S140), the integrated control center (100u), when out of the normal operation pattern for each sensing parameter, transmits an alarm to the control center monitor 100 assigned to the elevator out of the normal operation pattern (S150).

After step (S150), the control center monitor 100 receiving the alarm to the mobile terminal 400 corresponding to the A/S driver of the elevator corresponding to the alarm through the network 200 and/or the IoT communication network 300. A/S information is transmitted through an automatic call connection method or a Push message transmission method (S160).

The present invention can also be implemented as a computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices that store data that can be read by a computer system.

Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices, and are implemented in the form of carrier waves (for example, transmission through the Internet). Includes things.

In addition, the computer-readable recording medium is distributed over a computer system connected through a network, so that computer-readable codes can be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers in the technical field to which the present invention belongs.

As described above, in the present specification and drawings, a preferred embodiment of the present invention has been disclosed, and although specific terms are used, this is only used in a general meaning to easily explain the technical content of the present invention and to aid understanding of the invention. , It is not intended to limit the scope of the present invention. In addition to the embodiments disclosed herein, it is apparent to those of ordinary skill in the art that other modified examples based on the technical idea of the present invention can be implemented.

1: IoT-based elevator monitoring system for customer safety
100: control center monitor
100a: control server
100b: DB server for control
100u: Integrated control center
200: network
300: IoT communication network
400: mobile terminal
500: building integrated communication module
600: sensor communication module for each elevator
600a: elevator controller
600u: User building (elevator) equipment
610: temperature and humidity sensor
620: Gyro sensor
630: exact position sensor
640: door opening sensor
650: harmful gas sensor

Claims (8)

delete delete delete delete When the normal operation pattern is extracted by analyzing the sensing information for each elevator ID by the control server 100a, the control DB server 100b stores the normal operation pattern using the elevator ID as metadata; And
Control that analyzes whether or not it deviates for each sensing parameter constituting the normal operation pattern, and transmits an alarm to the control center monitor 100 assigned to an elevator that deviates from the normal operation pattern when it deviates from the normal operation pattern for each sensing parameter. For server 100a; Including,
The control server 100a,
It is connected to the building integrated communication module 500 through CAN communication, and when sensing information is collected according to a preset period from the sensor communication module 600 for each elevator formed in each elevator, sensing from the elevator controller 600a connected through CAN communication The sensor communication module for each elevator receives sensing information as metadata from each elevator ID through the network 200 from the building integrated communication module 500 that has received the information, and stores it in the control DB server 100b as sensing information. Temperature and humidity information measured by the temperature and humidity sensor 610 included in 600, the tilt angle information of the elevator measured by the gyro sensor 620, the exact position arrangement information measured by the position sensor 630, the door The door open operation information measured by the open sensor 640 and the harmful gas information measured by the harmful gas sensor 650 are included and stored, and the radar luminous end and the radar receiving end are stored with the fixed position sensor 630. Or, with an infrared light emitting end and an infrared light receiving end, one light emitting end and one light receiving end are formed on the outer surface of the elevator and on the wall of the stop where the elevator is formed, so that information about the exact position corresponding to the position at which the elevator stops. It utilizes the generation of array information, and has a radar luminous end and a radar luminous end, or an infrared luminous end and an infrared light receiving end, which are the same configuration as the position sensor 630 as the door opening sensor 640, to emit light on both doors of the elevator A communication module (110a) utilizing one end and one receiving end to generate door opening operation information corresponding to an operation state of both doors of the elevator at the correct position of the elevator;
By analyzing the sensing information for each elevator ID stored in the control DB server (100b), extracts the normal operation pattern, stores each elevator ID as metadata in the control DB server (100b), and each sensing that constitutes the normal operation pattern. Analyzing whether or not deviating by parameter information is performed through an artificial intelligence algorithm, and each sensing parameter information and elevator ID that deviate are transmitted to the alarm module 130a, but the sensing information distributed and stored for each elevator ID in the control DB server 100b is stored. In order to analyze and generate normal operation patterns through machine learning algorithms, as well as to issue state management commands, temperature and humidity information, angle information, and position information, which are each parameter information constituting the sensing information distributed and stored in the control DB server (100b) As a result of analyzing and analyzing by array information, door opening operation information, and harmful gas information, feature information corresponding to at least one analog voltage range is extracted, and the extracted feature information is learned using at least one or more of a plurality of machine learning algorithms. And analyzes the abnormal state as a result of learning,
When the installed elevator control panel and the building integrated communication module 500 are interfaced with the serial communication method, the elevator control panel and interface protocol are analyzed to check the status of the elevator. After connecting a communication analyzer, it is possible to analyze the information input to the analyzer while continuously monitoring the operating state of the elevator, and to analyze the control value that matches the state of the elevator. An analysis module that organizes protocols and accumulates them in the control DB server (100b), analyzes the status of each elevator based on the status information of each elevator, and analyzes the status of normal and abnormal conditions (whether abnormalities are identified by elevator abnormality type) as a pattern ( 120a);
When each sensing parameter information and elevator ID are received from the analysis module 120a out of the normal operation pattern for each sensing parameter information, an alarm is sent to the control center monitor 100 assigned to the elevator ID that deviates from the normal operation pattern. By transmitting the information and elevator ID, automatic call connection to the mobile terminal 400 corresponding to the A/S driver of the elevator corresponding to the alarm through the network 200 by the control center monitor 100 that received the alarm An alarm module 130a for controlling to transmit each sensing parameter information and elevator ID, which is A/S information, through a method or a push message transmission method; Including,
The analysis module 120a stores and manages temperature and humidity information, angle information, correct position arrangement information, door opening operation information at the correct position, harmful gas information for each elevator ID, and temperature and humidity information, angle information received from the communication module 110a. , The correct position arrangement information, information on the operation of opening the door at the correct position, and the time-series change in harmful gas information are output to the control center monitor 100 assigned to each elevator ID for each elevator ID, and the control center monitor 100 When the malfunction event information is received from, an event alarm for this is transmitted to the mobile terminal 400 through the network 200,
The sensor communication module 600 for each elevator may further include a CCTV for an elevator, and the analysis module 120b analyzes the number of people in a time zone through image analysis for each elevator ID based on the CCTV image captured by the elevator CCTV. It generates speed information for each elevator, and transmits the generated speed information to the elevator control panel connected to the building integrated communication module 500 through the network 200, so that the speed proportional to the number of people for each elevator is adjusted,
The analysis module 120b may generate elevator general status information by chart or color based on the speed information and output it to the control center monitor 100 assigned for each elevator ID. Based on the speed information, the elevator operation status ( Control preparation, normal operation, equipment standby, manual mode) are converted into time-series information and transmitted to the elevator control panel connected to the building integrated communication module 500 through the network 200, thereby increasing the speed proportional to the number of people for each elevator. To be adjusted,
The analysis module 120b generates operation time information for each elevator ID, end time information, alarm occurrence time for each elevator, end time of the day, and elapsed operation time information based on the operation status information of the elevator, through the network 200. IoT-based elevator monitoring system for customer safety, characterized in that it is transmitted to the mobile terminal 400 and used as auxiliary data for A/S processing.
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