KR100240957B1 - Distribution/intelligence type remote supervisory method and apparatus for elevators - Google Patents

Abstract

The present invention relates to a technique for diagnosing a failure of an elevator in a remote location, and periodically monitors the operation state of a plurality of elevator control apparatuses (101B, 101C), detects an abnormal state, and outputs the detection information. Elevator devices 102 and 103 each including a relay device 101A for storing driving history and detailed driving information for a predetermined time; Public communication network for transmitting abnormality detection information transmitted from the elevator devices 101 to 103 to the monitoring center 105 and selectively connecting the regional maintenance service centers 106 to 108 and the elevator devices 101 to 103 ( 104); When abnormality detection information is input from the elevator apparatuses 101 to 103, the abnormality detection information is transmitted to a local maintenance service center 106 to 108 through a local area network (LAN), and the local maintenance service center (106 to 108). Surveillance center 105 for storing the troubleshooting status reported from the; When abnormality detection information of the elevator control device is inputted from the monitoring center 105, it is selectively connected with a relay device in the elevator apparatuses 101 to 103 via the public communication network 104, and recently determined from the time when the abnormality is detected. Local maintenance service center that is provided with operation history and detailed operation information over time, and finds out the cause and part of failure by using the remote intelligence diagnosis device implemented on the basis of elevator repair expert's knowledge and outputs repair instructions. (106 ~ 108).

Description

Intelligent elevator remote monitoring method and device with distributed structure {DISTRIBUTION / INTELLIGENCE TYPE REMOTE SUPERVISORY METHOD AND APPARATUS FOR ELEVATORS}

The present invention relates to a technology for diagnosing a failure of an elevator in a remote location. In particular, the failure diagnosis device of an elevator can be separated from a monitoring center and distributed by area, so that it can be operated independently, and a knowledge base expressed by an object-oriented method is provided. The present invention relates to an intelligent elevator remote monitoring method and apparatus having a distributed structure suitable for diagnosing a failure.

An elevator installed in a building to transport personnel is a means of transportation where safety is very important. Therefore, in order to monitor the elevator efficiently and respond quickly to failures, the monitoring center of the elevator is usually operated. As soon as the elevator receives a breakdown of the elevator, the monitoring center dispatches the necessary maintenance personnel to the site to repair the breakdown quickly, and performs a regular elevator check to prevent the breakdown.

The monitoring center according to the present invention has only a function of remotely detecting a state in which a breakdown occurs through a telephone line without being dispatched to the site where the breakdown of the elevator occurs, and the function of analyzing and diagnosing the breakdown of the elevator is the maintenance / repair of the elevator. It is to be carried out in the regional maintenance service center which is only responsible for the maintenance locally. That is, the present invention provides an intelligent elevator remote monitoring system having a distributed structure.

Typically, failure diagnosis and measures of elevators are based on the maintenance manual or past to present experience. By the way, it is difficult to find the fault part effectively based on the maintenance manual or past experience because the fault may occur repeatedly in the part where the fault has already occurred, but in the unexpected part more often. . In order to solve this problem, the present invention provides a fault diagnosis method and apparatus that can reliably, promptly and conveniently diagnose faults of elevators for both non-experts and experts by using expert system development tools (Nexpert Object).

Although the elevator remote monitoring system according to the prior art has been operated for the purpose of detecting, diagnosing, and preventing a failure, the present invention includes the function of the elevator based on the performance analysis of the elevator and the failure statistics. Provide total service remote monitoring system that provides quantitative data monthly.

Therefore, since the monitoring center to which the present invention is applied is provided with a function of processing fault detection, performance analysis, and fault statistics, internal efficiency can be maximized and deep confidence can be given to consumers. In addition, the maintenance service base in charge of maintenance and repair locally repairs the elevator based on the results obtained by analyzing and diagnosing failures, so that even inexperienced service personnel can respond quickly, thereby ultimately repairing. Improve your skills.

The elevator remote monitoring system according to the prior art comprises a plurality of elevators comprising an elevator control device and a monitoring terminal and a monitoring center connected to the plurality of elevator devices to remotely monitor the elevator devices.

Here, the monitoring terminal device outputs a Balbo trigger signal indicating the operation state, operation history and abnormal state obtained by monitoring the elevator device to the monitoring center, where the monitoring center starts the monitoring diagnostic program to remotely monitor the elevator. The function is performed.

As a more advanced elevator remote monitoring system, a monitoring terminal device is provided for one or more elevator control devices, and the monitoring terminal device is connected to each elevator control device by a communication signal line and communicates with the communication device of the elevator. It is connected by a signal line and, on the other hand, by a telephone line. In addition, the monitoring center has a configuration in which one or more monitoring terminal devices are connected through a telephone line.

Here, the monitoring terminal apparatus monitors the elevator control apparatus through the communication signal line, inputs its operation state, operation history and abnormality detection information, and transmits the result through the telephone line. In addition, the monitoring center obtains the information of the elevator control device from the monitoring terminal device and at the same time requests the transmission of the operation status, operation history and abnormality detection information to the monitoring terminal device regularly or inputted information therefrom. Analyze faults by analyzing information based on

FIG. 1 is a block diagram of a remote monitoring and controlling apparatus for an elevator according to the related art including the above two types, and as shown therein, monitoring each elevator control apparatus 1B and 1C to the monitoring center 5 side. The monitoring terminal device 1A and the communication signal line TS2 which change the processing abnormality detection program when the detected abnormal data is sent out and a change request for the abnormality detection condition is generated from the monitoring center 5. An elevator apparatus 1 including an elevator telephone apparatus 1D, 1E for talking with the terminal apparatus 1A; Elevator devices (2) and (3) having the same configuration as the elevator device (1); A plurality of telephone lines 4 for communication between the elevator apparatuses 1 to 3 and the monitoring center 4; When a call is generated from the elevator apparatuses 1 to 3 through the telephone line 4, the receiver receives the abnormal data from the elevator apparatus and starts a troubleshooting program to notify the restoration and maintenance work based on the diagnosis result obtained. It consists of a monitoring center (5), the operation of which is described with reference to FIGS. 2 and 3 as follows.

First, the monitoring control process of the monitoring center 5 is demonstrated with reference to FIG.

If it is determined that the call is generated from the elevator apparatuses 1 to 3 through the telephone line 4, and it is determined that the call has occurred, recovery and maintenance work is performed based on the diagnosis result obtained by receiving the abnormal data and starting the fault diagnosis program. (SA1 ~ SA4)

However, if no call is generated as a result of the above confirmation, the monitoring program which is scheduled according to the schedule after the fourth step SA4 is executed.

That is, it checks whether the diagnostic execution time for the monitoring elevator apparatuses 1-3 is reached, and dials to the elevator apparatus until a line connection is made. When the abnormality detection condition is changed in the monitoring center 5 after the line connection is made, a change program and data are transmitted therefrom to change the abnormality detection condition of the monitoring terminal devices 1A to 3A. (SA5 to SA9)

Accordingly, the monitoring center 5 receives and maintains the monitoring data detected under the abnormally changed abnormal detection condition. (SA10, SA11)

In this state, the monitoring center 5 starts the failure diagnosis program as in the third and fourth steps SA3 and SA4, and notifies the restoration and maintenance work based on the obtained diagnosis result.

Thereby, the slight abnormality is processed without leaving the elevator.

As described above, the processing program of the monitoring terminal devices 1A to 1C transmits the abnormality data to the monitoring center 5 at the time of monitoring and detecting the abnormality of the elevator control devices 1B and 1C in the elevator devices 1 to 3. The program of the monitoring center 5 checks a call from the monitoring terminal devices 1A to 1C, receives a fault data when there is a call, diagnoses a fault, and instructs a recovery operation based on the result. It is a program that directs maintenance work.

The program change is executed when a change to the abnormal detection condition is necessary, and at this time, the change program and data are transmitted from the monitoring center 5 to each of the monitoring terminal devices 1A to 1C, and the monitoring terminal devices 1A to 1C. The error detection condition of 1C) is changed, and according to this condition and data, the monitoring center 5 receives the monitoring data and the abnormal data of the monitoring terminal devices 1A to 1C, and based on the received data, the fault diagnosis program. You can run In addition, in case of a serious failure site, the dedicated abnormal detection condition can be changed in the monitoring terminal devices 1A to 1C, and the monitoring center 5 can monitor the priority by changing the monitoring schedule so that the follow-up investigation is possible. Secondly, it is possible to detect abnormality early and prevent failure recurrence in advance.

On the other hand, for example, a door failure occurs and the monitoring terminal device 1A to 1C of the monitoring terminal device is judged to be abnormal, and based on the previous operation history of the elevator device sent out therefrom, and the operation state to date. The process of analyzing the cause of failure by operating the remote diagnosis program will now be described with reference to the signal flow diagram of FIG. 3.

If a passenger's trapped condition is detected due to a door failure, that is, even if the door is closed, the cage cannot start or if the door does not open when the door is closed and moved to the target floor, the rescue center should make a rescue call. (SB1, SB2)

At this time, the monitoring diagnostic program performs an analysis process according to a predetermined step in the past operation history and the operation state at the time of abnormality occurrence. For example, the control state when the passenger in the cage has operated the door open or close button is determined. That is, it is determined whether or not the door open / close command is not output despite the button operation. (SB3)

At this time, if the opening / closing command of the door is not output, it is checked whether the control system is normal (SB4). If it is determined that the microcomputer in the elevator control device is abnormal and the control system is abnormal, the check result of the safety device and its (SB6) However, if it is determined that the control system is normal, the door drive system is checked and the result is output. (SB5)

If it is determined that the door opening / closing command is normally output in the third step SB3, it is determined whether the door is in a mechanically locked state. (SB7) As a result, when it is determined that the door is in the mechanically locked state, it is determined that the door is closed. As a result, the result of the analysis of the foreign matter in the door is analyzed and the result is output. (SB8) However, the result of the determination is not a mechanical lock state, but an item such as an electrical defect, a fuse blown, a motor failure, and the like is output. (SB9)

Through this process, the analysis results (SB5, SB6, SB8, and SB9) are transmitted to the repairman, who can then perform appropriate repair work based on the repairman.

However, in the elevator remote monitoring system of the prior art, when an abnormality occurs in the elevator control apparatus, the monitoring terminal apparatus monitors all information necessary for fault diagnosis such as operation status, operation history, and abnormality detection information of the elevator apparatus through a telephone line. Since it is sent to the center, it usually takes more than 5 minutes to receive this information via telephone line to diagnose one failure. Therefore, assuming that the number of elevator devices monitored by the monitoring center is 10,000 and the failure rate per day is 1%, the number of failures received by the monitoring center in one day will be 100, which results in the time of receiving a failure in one day. This takes 500 minutes. This is because the reception time takes a lot of time because all the data related to the failure is concentrated in a single monitoring center, which causes a lot of administrative expenses and delayed response time.

In addition, since one fault diagnosis device is installed in the monitoring center, when a large number of failures are concentrated and received at the same time, the performance of the fault diagnosis device is drastically reduced. In addition, since each maintenance service base receives only the diagnosis result from the monitoring center, there was a defect that could not contribute to improving the repairman's repair ability.

In addition, when a failure occurs in the elevator, a failure may occur again in a part that has already occurred, but a failure may occur in a new part. Whenever a cause of a new failure is found, the failure diagnosis program is conventionally modified. Therefore, there was a difficulty in finding the fault part effectively by using the fault diagnosis program.

Therefore, the technical problem to be achieved by the present invention is to separate the failure diagnosis device of the elevator from the monitoring center to be distributed independently by area and to operate independently, and to analyze the performance of the elevator using a knowledge base expressed in the object-oriented method In addition, the present invention provides an intelligent elevator remote monitoring method and apparatus having a distributed structure that prepares monthly quantitative data based on failure statistics and provides the same to a building owner or a manager.

1 is a block diagram of an elevator remote monitoring control apparatus according to the prior art.

2 is a monitoring control signal flow diagram of the monitoring center side according to the prior art.

Figure 3 is a troubleshooting signal flow chart according to the prior art.

Figure 4 is an exemplary block diagram of an elevator remote monitoring apparatus according to the present invention.

FIG. 5 is a detailed block diagram of a remote intelligence diagnosis apparatus in a regional maintenance service center in FIG. 4.

6 is a detailed block diagram showing the internal configuration of the elevator knowledge base module in FIG.

7 is a flowchart illustrating an elevator troubleshooting according to the present invention.

8 is an operation signal flowchart of a repeater according to the present invention;

9 is a fault reception and information request signal flow diagram of the monitoring center according to the present invention.

10 is a flowchart of a failure information request / diagnosis signal of a regional maintenance service center according to the present invention.

11 is a partial illustration of an elevator failure knowledge base constructed by the present invention.

12 is an exemplary diagram of a fault diagnosis result guide screen according to the present invention;

*** Description of the symbols for the main parts of the drawings ***

101 ~ 103: Elevator device 101A ~ 103A: Relay device

101B, 101C: Elevator Control Device 101D, 101E: Elevator Call Device

104: public communication network 105: surveillance center

106 ~ 108: Regional Maintenance Service Center 106A: Remote Intelligence Diagnosis Device

Intelligent elevator remote monitoring method having a distributed structure to achieve the object of the present invention transmits the fault operation information when a request for information from the fault diagnosis device of the regional maintenance service center, the fault to the monitoring center when a fault code is generated A relay process (SC1 to SC13) for transmitting a code and transmitting regular driving information or processing a corresponding command when a call is received from the monitoring center; A monitoring center processing process (SD1 to SD7) for attempting a telephone connection with the relay device of the elevator apparatus when a ring signal is detected and transmitting the requested information or transmitting abnormality detection information to the regional maintenance service center; When a fault code is generated, it attempts to find out the phone number of the faulty relay device through the connection with the elevator knowledge base, receives detailed operation information on the fault from the relay device, and receives the fault operation information. In this case, it consists of a maintenance service process (SE1 ~ SE8) that finds the cause of the failure and the location of the failure by using a remote intelligence diagnosis device implemented on the basis of expert knowledge of elevator repair.

4 is an exemplary block diagram of an intelligent elevator remote monitoring apparatus having a distributed structure according to an embodiment of the present invention. As shown in FIG. 4, an operation of a plurality of elevator control apparatuses 101B and 101C through a communication signal line TS1 is shown. An elevator apparatus including a relay device 101A which periodically monitors the state, detects an abnormal state, outputs the detection information, and stores the driving history and detailed driving information for a predetermined time from the time when the abnormality was detected. (101) and elevator devices (102) and (103) having the same configuration as the elevator device (101); Public communication network for transmitting abnormality detection information transmitted from the elevator devices 101 to 103 to the monitoring center 105 and selectively connecting the regional maintenance service centers 106 to 108 and the elevator devices 101 to 103 ( 104); It is constructed as a computer system equipped with a large-scale database system and a local area network (LAN). When abnormality detection information is input from the elevator devices (101 to 103), the local maintenance service center receives the abnormality detection information through the local area network (LAN). A monitoring center 105 which transmits to the 106-108 side and stores the troubleshooting status reported from the regional maintenance service center 106-108; When abnormality detection information of the elevator control device is inputted from the monitoring center 105, it is selectively connected with a relay device in the elevator apparatuses 101 to 103 via the public communication network 104, and recently determined from the time when the abnormality is detected. Each regional maintenance service that receives the operation history and detailed operation information over time and finds the cause and the failure part of the failure by using the remote intelligence diagnosis device implemented on the basis of the expert in elevator repair expert. It will be described in detail with reference to Figures 5 to 12 attached to the operation of the present invention configured in this way as configured as a center (106 ~ 108) as follows.

In each elevator apparatus 101-103, the relay apparatuses 102A-102C transmit the abnormality detection data obtained by monitoring each elevator control apparatus 10B, 101C to the monitoring center 105 via the public communication network 104, The monitoring center 105 outputs the input abnormality detection data to each regional maintenance service center 106 to 108 through a local area network (LAN). Each of the regional maintenance service centers 106 to 108 requests driving history and driving status data from the elevator apparatus in which the failure occurs through the public communication network 104, receives them on the telephone, and starts a failure diagnosis program based on the above. To perform troubleshooting.

Each of the relay apparatuses 101A to 103A is connected to one or more elevator control apparatuses 101B and 101C, respectively, via a communication signal line TS1 to periodically monitor their operating states. At this time, when abnormality is detected, the abnormality detection information is transmitted to the monitoring center 105 through the public communication network 104. In addition, when the abnormality is detected, the service history and detailed operation information from the last five minutes are stored, and the maintenance service centers 106 to 108 request this information, and the public communication network 104 and the telephone line 104C. Output through

The monitoring center 105 is constructed of a computer system equipped with a large-capacity database system and a local area network (LAN), and receives the failure of the elevator from the relay devices 101A to 103A. In addition, the local area network (ALN) stores the fault handling status reported from all the regional maintenance service centers 106-108 and transmits the abnormality information of the elevator control apparatuses 101B, 101C transmitted from the relay apparatuses 101A-103A. Through the local maintenance service center (106 ~ 108) side.

Each regional maintenance service center (106-108) is provided with a remote intelligent diagnostic device (106A, 106B) implemented based on the knowledge of elevator repair experts. The remote intelligent diagnosis device (106A, 106B) directly calls the elevator device in which the failure occurs, requests various information necessary for the diagnosis, and at this time, finds the cause and location of the failure and repairs it based on the input failure information. Print instructions so that the operator can perform appropriate repairs.

The operation of the remote intelligent diagnostic apparatus 106A, 106B mounted in each of the regional maintenance service centers 106-108 will be described with reference to FIG.

The input device 501 appropriately processes the failure detail operation information reported on the telephone and transmits it to the elevator knowledge base 502. The inference apparatus 503 uses the input failure phenomenon and infers the failure site using the expert knowledge stored in the elevator knowledge base 502. The output device 505 outputs the result inferred for the maintenance work instruction on a screen or a print. The description device 504 adds the reason why the reasoning was inferred in order to make the maintenance person understand more clearly. The learning device 508 learns the case information of the inferred result in the knowledge base so that the given diagnosis performance is gradually improved as time passes without modifying the existing elevator failure diagnosis device.

The operation of the elevator knowledge base 502 will be described in more detail with reference to FIG. 6 as follows.

Elevators can be divided into four parts: MachineRoom, Car, HoistWay, and Etc. The car is further divided into a frame and an input / output (IO) part. The frame of the car has a cage door and a hatch door. The cage door part consists of eight parts, and the hatch door part consists of four parts. It is actually composed of much more parts than this, but it is noted that the description is briefly described for convenience of description.

As described above, the elevator knowledge base 502 represented by the Object Oriented Technique is similar to a human thinking process and can easily understand the expressed knowledge. In addition, the system is easy to maintain and expand. After researching the various ways to construct the knowledge base module of the fault diagnosis expert system, we reviewed each case and selected the most efficient way to construct the knowledge base of the elevator fault expert system.

Referring to the model implemented in this system in general, the elevator knowledge base 502 was constructed by dividing the module constituting the main part of the elevator, the submodule constituting the module, and the main components of the submodule. This model receives a failure phenomenon for a subsystem from the DAS, selects a subsystem that matches the phenomenon, and infers the selected module to find the failure location. The reason for choosing this model is that the failure of each component is almost independent, so that the characteristics of this model can be used as it is, so it is more efficient and convenient to build a knowledge base.

Based on the knowledge acquired in the above way, it was constructed using expert system development tool (Nexpert Object). The knowledge representation provided by the tool allows developers to easily express knowledge in the form of a mixture of Rule and Object Oriented Technique. Building a knowledge base module using the tool goes through the following steps.

① Classify the knowledge into classes, objects, and properties by investigating and analyzing the relationship between the main components of knowledge related to elevator failure diagnosis.

② Build modules using the editor provided by the tool so that knowledge can be expressed in a mixed form of object-oriented techniques and creation rules.

③ Construct a rule that can diagnose the reasoning based on the finally constructed information using the rule editor.

Hereinafter, the operation will be described based on the embodiment of the present invention. In this embodiment, an elevator door failure will be described as an example. The entire process of diagnosing a limit switch (LIMIT_SWITCH) of an actual door part is performed as shown in the flowchart of performing an elevator failure diagnosis of FIG. 7.

In the regional maintenance service center 106, when the failure state is received from the monitoring center 105 through the local area network (LAN), the remote intelligence diagnosis apparatus 106A, 106B in the regional maintenance service center 106 is Is activated. Therefore, as shown in Fig. 7, the relay device 101A having a failure is called to request information necessary for failure diagnosis. Subsequently, the inference engine module 702 is driven using the failure details inputted from the relay devices 101A and 101B, and the inference is made using the elevator failure knowledge base module 703. As a result of the inference, the fault solution and corrective action are output. Therefore, finally, the user interface module 701 informs the explanation function, the diagnosis result, and the corrective action.

The fault is generated and the abnormality is transmitted to the monitoring center 105, and the remote intelligent diagnosis apparatus 106A, 106B of each regional maintenance service center 106-108 is operated to relay the process of performing the fault diagnosis. 8 to 10 will be described with reference to the apparatuses 101A to 103A, the monitoring center 105, and the regional maintenance service centers 106 to 108. FIG.

When the relay device detects a failure code among the relay devices 101A to 103A (SC4), it calls the monitoring center 105 and attempts to connect. (SC5) The monitoring center 105 notifies the relay device of the failure. In order to detect a ringing signal (SD1), a telephone connection is attempted (SD2). If the connection is successful (SD3), the corresponding relay device transmits a fault code to the monitoring center 105. (SC6)

The monitoring center 105 checks whether the telephone call just received indicates a failure reception (SD4), and if it is determined to be a failure reception (SD4), receives a failure code from the corresponding relay device (SD5) and receives the received failure information in the local maintenance service center ( 106 to 108) (SD6)

At this time, each of the remote intelligence diagnosis device 106A, 106B in the regional maintenance service center 106-108 determines that a failure has occurred based on the failure alarm received from the monitoring center 105 (SE1), After confirming that the connection to the elevator knowledge base 502 is completed (SE2), find out the telephone number of the relay device in which the failure occurred (SE3), and attempt to dial in to obtain detailed operation information on the failure from the relay device. (SE4)

The relay device checks whether there is an information request from the remote intelligence diagnosis device 106A or 106B (SC1), and when the information request is made, it is connected to the local maintenance service center. (SC2)

Accordingly, the local maintenance service center requests the fault operation information (SE5), and the relay device transmits the fault operation information. (SB3) Thus, the remote intelligent diagnosis apparatus 106A of the regional maintenance service center 106-108 is performed. (106B) receives the fault operation information from the corresponding relay device (SE6), performs the fault diagnosis function to identify the cause of the fault (SE7), and finally informs the maintenance personnel of the fault diagnosis result (SE8).

As an example of the elevator failure knowledge base constructed in FIG. 11, failure of the limit switch is detected through the following detailed inference step.

* Rule 1 (R001):

Elevat

. Stat에 고장이 발생되었음을 알리면 ELEVATOR_CHECK가 성공적으로 평가되면서 +⇒Execute "엘리베이터 고장"임을 알린다.From the information received from the detailed fault operation information received from the relay

Elevat

. When the stat is notified that a fault has occurred, ELEVATOR_CHECK is evaluated successfully, indicating that it is + ⇒Execute "elevator failure".

* Rule 2 (ROO2):

Elevat

.inf=100을 평가하기 위하여 입력된 고장현상 리스트를 참조하여 가설 CAR_CHECK가 성공적으로 평가되면서 +⇒"카 부위 고장"임을 알린다.Of the predicates of the hypothesis CAR_CHECK to be evaluated at this time, ELEVATOR_CHECK evaluates to true.

Elevat

The hypothesis CAR_CHECK is evaluated successfully to indicate that it is + ⇒ "car site failure" by referring to the list of failures entered to evaluate .inf = 100.

* Rule 3 (ROO3):

Car

.inf=200을 평가하기 위하여 입력된 고장현상 리스트를 참조하여 가설 FRAME_CHECK가 성공적으로 평가되면서 +⇒"뼈대부위 고장"임을 알린다.Of the predicates of the hypothesis FRAME_CHECK to be evaluated at this time, CAR_CHECK evaluates to true,

Car

Refer to the list of faults entered to evaluate .inf = 200 to indicate that the hypothesis FRAME_CHECK evaluates successfully to + ⇒ "bone failure".

* Rule 4 (ROO4):

Frame

.inf 값이 300이라면 가설 HATCHDOOR_CHECK가 성공적으로 평가되면서 다시 제6,7규칙(ROO6),(ROO7)이 평가대상이 된다.Since the hypothesis FRAME_CHECK that was just evaluated exists in the conditions of rules 4 and 5 (ROO4) and (ROO5), both hypotheses must be evaluated and the failure phenomenon list is referred to.

Frame

If the value of .inf is 300, the hypothesis HATCHDOOR_CHECK is successfully evaluated, and the sixth and seventh rules (ROO6) and (ROO7) are again evaluated.

* Rule 7 (ROO7):

If the hypothesis LIMIYSWITCH_CHECK of the 7th rule (ROO6) and (ROO7) of the 6th, 7th (ROO6), and (ROO7) is successfully evaluated, the diagnosis result and the measures are displayed to the repairman through the fault diagnosis result guide screen as shown in FIG. It exits after displaying the description function file recorded when performing the diagnosis.

As such, when the target hypothesis is not known, the user may easily infer the information stored in the elevator knowledge base 502 using a hybrid inference technique that can easily infer the desired result. The elevator failure expert system implemented using the expert system based on such an elevator knowledge base 502 has the following advantages when compared with the conventional technology.

First, human expertise is easily extinguished by retirement and retirement. However, the present invention is much more permanent.

Second, human expertise is expensive and disadvantageous in terms of time. The expert system is portable and can be moved for remote use. In particular, expert systems are easy to document when they are needed simultaneously in more than one place geographically, and the results are always constant. Therefore, if the knowledge base is continuously repaired and renewed, the elevator failure diagnosis expert system can respond quickly to even inexperienced maintenance personnel, improving repair capacity and granting the expertise of the repair experts to the computer. By instructing the repairman on the basis of this knowledge, the elevator can be diagnosed and corrected reliably, quickly and conveniently.

As described in detail above, the present invention has only a function of remotely monitoring the status of the failure in the monitoring center, it is possible to respond quickly to the failure by having a number of regional maintenance service centers to analyze and diagnose the failure of the elevator In addition, even when the failure is congested, the performance degradation can be reduced, and the internal efficiency can be maximized.

In addition, many regional maintenance service centers in charge of local maintenance provide the computer with the expertise of the elevator repair specialists to repair faults based on the results obtained by analyzing and diagnosing faults based on this knowledge. By doing so, even an inexperienced repairman can respond quickly, thereby improving the repair capacity. Because, first, human expertise is easily extinguished by retirement or retirement. But the present invention is much more permanent. Second, human expertise is expensive and disadvantageous in terms of time. The expert system is portable and can be moved for remote use. In particular, expert systems are easy to document when they are needed simultaneously in more than one place geographically, and the results are always constant. Therefore, if the knowledge base is continuously repaired and renewed, the elevator failure diagnosis expert system can respond quickly to even inexperienced maintenance personnel, improving repair capacity and granting the expertise of the repair experts to the computer. This is because by instructing the repairman on the basis of this knowledge, it is possible to reliably, promptly and conveniently take the diagnosis and measures for the elevator.

Surveillance centers can provide advanced total services by providing monthly owners and elevator customers with quantitative data on elevator use based on the functions of fault detection, performance analysis and fault statistics.

Claims (3)

When information request is generated from the fault diagnosis device of the regional maintenance service center, the fault operation information is transmitted, the fault code is sent to the monitoring center when the fault code is generated, and the regular operation information when a call is received from the monitoring center. A relaying process for transmitting or processing a corresponding command; A monitoring center processing process of attempting to make a telephone connection with a relay device of an elevator device when a ring signal is detected and transmitting requested information or transmitting abnormality detection information to a regional maintenance service center; When a fault code is generated, it attempts to find out the phone number of the faulty relay device through the connection with the elevator knowledge base, receives detailed operation information on the fault from the relay device, and receives the fault operation information. Intelligent elevator remote monitoring method having a distributed structure, characterized in that consisting of a maintenance service process to find out the cause and the location of failure by using a remote intelligence diagnostic device implemented on the basis of expert knowledge of elevator repair. Periodically monitors the operation state of the plurality of elevator control apparatuses 101B and 101C via the communication signal line TS1, detects an abnormal state, outputs the detection information, and for the last predetermined time from the time when the abnormality is detected. An elevator device 101 including a relay device 101A for storing a driving history and detailed driving information of the elevator device and elevator devices 102 and 103 having the same configuration as the elevator device 101; Public communication network for transmitting abnormality detection information transmitted from the elevator devices 101 to 103 to the monitoring center 105 and selectively connecting the regional maintenance service centers 106 to 108 and the elevator devices 101 to 103 ( 104); It is constructed as a computer system equipped with a large-scale database system and a local area network (LAN). When abnormality detection information is input from the elevator devices (101 to 103), the local maintenance service center receives the abnormality detection information through the local area network (LAN). A monitoring center 105 which transmits to the 106-108 side and stores the troubleshooting status reported from the regional maintenance service center 106-108; When abnormality detection information of the elevator control device is inputted from the monitoring center 105, it is selectively connected with a relay device in the elevator apparatuses 101 to 103 via the public communication network 104, and recently determined from the time when the abnormality is detected. Local maintenance service center that is provided with operation history and detailed operation information over time, and finds out the cause and part of failure by using the remote intelligence diagnosis device implemented on the basis of elevator repair expert's knowledge and outputs repair instructions. Intelligent elevator remote monitoring device having a distributed structure, characterized in that consisting of (106 ~ 108). 3. The elevator apparatus (101) according to claim 2, wherein each elevator device (101 to 103) comprises: an input device (501) for appropriately processing the fault detail operation information reported on the telephone and transmitting the same to the elevator knowledge base (502); An inference device 503 using the input failure phenomenon and inferring the failure location using the expert knowledge stored in the elevator knowledge base 502; An explanatory device 504 that adds the reason why the result was deduced in order for the maintenance person to understand more clearly; An output device 505 for outputting the result inferred for maintenance work instruction on a screen or a print; In order to improve the given diagnostic performance as time goes by without modifying the existing elevator failure diagnosis device characterized in that it comprises a learning device 508 for learning the case information of the inferred result in the knowledge base Intelligent elevator remote monitoring device with distributed structure.

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