Elevator system, inference device, and learning device

Abstract

To provide an elevator system capable of notifying a user of a repair method when a failure occurs.SOLUTION: The elevator system 1 includes a control device 3 and a server device 9. The notification control unit 33 causes the notification device to notify of transmission request information for transmitting the first information from the mobile terminal 11 of the user to the server device 9. When the repair determination unit 42 determines that the user can repair the failure, the communication unit 41 transmits, to the mobile terminal 11, repair request information for displaying, on the mobile terminal 11, a repair method for the failure and an answer form for answering whether the failure can be repaired.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an elevator system, an inference device, and a learning device. [Background technology]

[0002] Patent Document 1 describes an elevator system. In the elevator system described in Patent Document 1, when an abnormality occurs, information including the details of the abnormality is notified to the user. If the abnormality is minor, the user can resolve the abnormality themselves. This eliminates the need for a staff member from a management center to visit the site. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-162390 Summary of the Invention [Problem to be solved by the invention]

[0004] In the elevator device described in Patent Document 1, information including the details of the abnormality that has occurred is notified to the user, but it is not possible to provide a notification tailored to the user.

[0005] The present disclosure has been made to solve the above-mentioned problems. An object of the present disclosure is to provide an elevator system that, when a malfunction occurs, can notify a user of a repair method tailored to the user. Another object of the present disclosure is to provide an inference device for inferring an index that can be used to realize such a function, and a learning device for learning the index. Another object of the present disclosure is to provide an elevator system that can acquire information necessary to notify users of a repair method for a malfunction in a manner that is tailored to the user. [Means for solving the problem]

[0006] An elevator system according to the present disclosure includes an elevator control device and a server device. The control device includes a fault detection unit that detects the occurrence of a fault, and an alarm control unit that causes an alarm to issue transmission request information for causing a user's mobile device to transmit first information, including details of the fault detected by the fault detection unit and attributes of the user, to the server device. The server device includes a repair determination unit that determines whether the user can repair the fault based on the first information received from the mobile device, and a communication unit that, when the repair determination unit determines that the user can repair the fault, transmits repair request information to the mobile device to display a method for repairing the fault and a response form for responding as to whether the fault can be repaired on the mobile device.

[0007] An elevator system according to the present disclosure includes an elevator control device and a server device. The control device includes a fault detection unit that detects the occurrence of a fault, and an alarm control unit that causes an alarm to notify repair request information for displaying a repair method for the fault detected by the fault detection unit on a user's mobile device and transmitting second information including the details of the fault, whether the fault can be repaired, and the user's attributes from the mobile device to the server device. The server device includes an information recording unit that stores the second information received from the mobile device in a memory unit.

[0008] The inference device according to the present disclosure includes a data acquisition unit that acquires data for inference, and an inference unit. The data for inference includes details of a malfunction that has occurred in an elevator and attributes of a user. The inference unit outputs an index from the data for inference acquired by the data acquisition unit using a trained model for inferring an index for determining whether a user can repair the malfunction from the data for inference.

[0009] A learning device according to the present disclosure includes a data acquisition unit that acquires learning data, and a model generation unit that generates a trained model using the learning data acquired by the data acquisition unit. The learning data includes details of a malfunction that has occurred in an elevator, attributes of a user, and whether the user is able to repair the malfunction. The trained model is a model for inferring an index for determining whether the user is able to repair the malfunction, based on the details of the malfunction and the attributes of the user. [Effects of the Invention]

[0010] According to the present disclosure, when a malfunction occurs in an elevator, repair methods can be notified to users in a way that suits them. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram illustrating an example of an elevator system according to a first embodiment. [Figure 2] 10 is a flowchart showing an example of the operation of the control device. [Figure 3] 10 is a flowchart illustrating an example of the operation of the server device. [Figure 4] FIG. 10 is a diagram illustrating an example of a display on a mobile terminal that has received repair request information. [Figure 5] FIG. 1 illustrates an example of an inference device. [Figure 6] 10 is a flowchart showing an example of the operation of the inference device. [Figure 7] FIG. 1 illustrates an example of a learning device. [Figure 8] 10 is a flowchart illustrating an example of the operation of the learning device. [Figure 9] FIG. 3 is a diagram showing another example of the elevator system according to the first embodiment. [Figure 10] 10 is a flowchart showing an example of the operation of the control device. [Figure 11] 10 is a flowchart illustrating an example of the operation of the server device. [Figure 12] FIG. 2 illustrates an example of hardware resources of a control device. [Figure 13]FIG. 10 is a diagram illustrating another example of hardware resources of a control device. DETAILED DESCRIPTION OF THE INVENTION

[0012] The following detailed description will be given with reference to the drawings. Duplicate descriptions will be simplified or omitted as appropriate. In each drawing, the same reference numerals indicate the same or corresponding parts.

[0013] Embodiment 1 FIG. 1 is a diagram showing an example of an elevator system 1 according to a first embodiment. The elevator system 1 includes an elevator device 2. The elevator device 2 includes a control device 3 and a car 4. The car 4 moves up and down in a hoistway 5. The hoistway 5 is a space formed in a building that extends vertically. The car 4 can stop at landings 6 on multiple floors within the building.

[0014] In the example shown in Fig. 1, a display 7 is provided in the car 4. The display 7 is an example of an alarm provided in the car 4. Other devices such as an announcement device may be provided in the car 4 as an alarm. A plurality of devices may be provided in the car 4 as an alarm.

[0015] In the example shown in FIG. 1 , a display 8 is provided at each landing 6 at which the car 4 stops. The display 8 may be provided only at some of the landings 6 at which the car 4 stops. For example, the display 8 may be provided only at the landings 6 on the lobby floor. The display 8 is an example of an alarm provided at a landing 6. Other devices such as an announcement device may be provided at the landing 6 as an alarm. Multiple devices may be provided at one landing 6 as an alarm.

[0016] The elevator apparatus 2 preferably includes both an alarm provided in the car 4 and an alarm provided at the landing 6. The elevator apparatus 2 may include only one of an alarm provided in the car 4 or an alarm provided at the landing 6.

[0017] The control device 3 controls the operation of the car 4. When a call is registered, the control device 3 causes the car 4 to respond to the registered call. This allows elevator users to ride in the car 4 and move from a hall 6 on one floor to a hall 6 on another floor. The control device 3 includes, for example, a memory unit 30, a fault detection unit 31, an information generation unit 32, and a notification control unit 33.

[0018] The elevator system 1 also includes a server device 9. As an example, the server device 9 is a device managed by a maintenance company of the elevator device 2. In such a case, the control device 3 may include a maintenance management unit 34. The maintenance management unit 34 is a function for the maintenance company to perform remote monitoring. For example, if a maintenance contract including remote monitoring has been concluded with the maintenance company for the elevator device 2, the control device 3 is provided with the maintenance management unit 34, and the remote monitoring function by the maintenance management unit 34 is enabled. In such a case, the server device 9 can access the control device 3 via a network 10 such as the Internet.

[0019] On the other hand, in an elevator device 2 that does not have a maintenance contract including remote monitoring with a maintenance company, the control device 3 does not include the maintenance management unit 34. Or, even if the control device 3 includes the maintenance management unit 34, the remote monitoring function of the maintenance management unit 34 is not enabled. In such cases, the control device 3 cannot send and receive signals to and from the server device 9 via the network 10.

[0020] The server device 9 includes, for example, a storage unit 40, a communication unit 41, a repair determination unit 42, an information generation unit 43, and an information recording unit 44.

[0021] The functions of the elevator system 1 will be described in detail below with reference to Figures 2 to 4. Figure 2 is a flowchart showing an example of the operation of the control device 3.

[0022] The control device 3 determines whether a failure has occurred (S101). The failure detection unit 31 detects the occurrence of a failure. The failures detected by the failure detection unit 31 may include minor failures that do not require the elevator to be stopped. For example, the failure detection unit 31 may detect, as a failure, an event in which the door of the car 4 can be closed but the time it takes to close is longer than normal (a reference time). The failure detection unit 31 may also detect an on failure of a direction button provided at the landing 6. When the failure detection unit 31 detects the occurrence of a failure, a determination of Yes is made in S101.

[0023] If S101 returns Yes, the information generation unit 32 generates transmission request information (S102). The transmission request information is information for requesting elevator users to transmit first information from their mobile terminals 11 to the server device 9. The first information includes the details of the fault detected by the fault detection unit 31 in S101 and the attributes of the user. It is preferable that the first information includes the age and gender of the user as the user attributes. Other information may also be included in the first information. In a preferred example, the transmission request information includes a two-dimensional code. Hereinafter, the fault detected by the fault detection unit 31 in S101 will also be referred to as fault A.

[0024] Next, the notification control unit 33 causes the transmission request information generated by the information generation unit 32 to be notified from an alarm (S103). The transmission request information may be notified from an alarm provided in the car 4, or from an alarm provided in the hall 6. The transmission request information may be notified from both an alarm provided in the car 4 and an alarm provided in the hall 6.

[0025] For example, the notification control unit 33 displays a two-dimensional code on the display 8 as transmission request information along with a message saying, "A malfunction has been detected. Take a picture of the displayed two-dimensional code and send the necessary information to find out how to repair it." Then, when an elevator user takes a picture of the two-dimensional code with the mobile terminal 11, the mobile terminal 11 transmits the first information to the server device 9.

[0026] Any mechanism may be adopted for transmitting the first information from the mobile terminal 11 that captured the image of the two-dimensional code to the server device 9. For example, details of the first information to be transmitted to the server device 9 and a send button may be displayed on the mobile terminal 11 that captured the image of the two-dimensional code, and the first information may be transmitted to the server device 9 when the user presses the send button. At this time, the attributes of the user may be displayed on the mobile terminal 11. In the following, the user who captured the image of the two-dimensional code with the mobile terminal 11 will also be referred to as user B in order to distinguish him or her from other users. User B is the owner of the mobile terminal 11.

[0027] 3 is a flowchart showing an example of the operation of the server device 9. The server device 9 determines whether or not the first information has been received from the mobile terminal 11 (S201). The communication unit 41 controls the communication function of the server device 9. When the communication unit 41 receives the first information from the mobile terminal 11, the determination in S201 is Yes.

[0028] If the determination in S201 is Yes, the repair determination unit 42 determines whether or not user B can repair fault A based on the first information received by the communication unit 41 (S202). As an example, the repair determination unit 42 makes the determination in S202 using a specific index. If the repair determination unit 42 determines that user B can repair fault A, the determination in S202 is Yes. If the repair determination unit 42 does not determine that user B can repair fault A, the determination in S202 is No.

[0029] If the determination in S202 is Yes, the information generation unit 43 generates repair request information (S203). The repair request information is information for displaying on the mobile terminal 11 of user B a repair method for failure A and a response form for requesting an answer as to whether failure A can be repaired, i.e., whether the repair was successful or not. The communication unit 41 transmits the repair request information generated by the information generation unit 43 to the mobile terminal 11 of user B (S204).

[0030] Fig. 4 is a diagram showing an example of the display of mobile terminal 11 that has received repair request information. As shown in Fig. 4, mobile terminal 11 displays a method for repairing fault A and a button for responding whether or not fault A has been repaired. User B looks at the repair method displayed on mobile terminal 11, and if he or she thinks that he or she can perform the repair, he or she can repair the fault.

[0031] Furthermore, user B can use the response form displayed on the mobile terminal 11 to respond as to whether or not fault A was repaired. In the example shown in FIG. 4, user B presses the "YES" button if fault A can be repaired. User B presses the "NO" button if fault A cannot be repaired. This causes a response to the repair request information to be transmitted from the mobile terminal 11 to the server device 9. In other words, the response includes whether or not fault A can be repaired.

[0032] On the other hand, if the determination in S202 is No, the repair request information is not sent to the mobile terminal 11. If the determination in S202 is No, the communication unit 41 may send, to the mobile terminal 11, information for displaying a maintenance technician dispatch request guide on the mobile terminal 11.

[0033] Furthermore, in the server device 9, when the repair request information is transmitted in S204, it is determined whether or not a response to the repair request information has been received from the mobile terminal 11 (S205). When the communication unit 41 receives a response to the repair request information from the mobile terminal 11, the determination in S205 is Yes.

[0034] If the answer in S205 is Yes, the information recording unit 44 associates the content of fault A and the attributes of user B contained in the first information with the possibility of repairing fault A contained in the response and stores them in the memory unit 40 (S206).

[0035] In the example shown in this embodiment, the server device 9 determines whether or not user B can repair fault A. Then, if it is determined that user B can repair fault A, repair request information is sent to the mobile terminal 11 of user B. Therefore, in the example shown in this embodiment, notification of the repair method for the occurred fault can be tailored to the user.

[0036] If the control device 3 includes a resolution determination unit 35, the control device 3 may further perform the processes shown in S104 and S105. That is, when the transmission request information is notified in S103, the resolution determination unit 35 determines whether or not the fault A has been resolved (S104). For example, the fault A is resolved when the user removes a foreign object that has been caught in the threshold. When the resolution determination unit 35 determines that the fault A has been resolved after the transmission request information is notified, a "Yes" determination is made in S104.

[0037] If S104 is judged as Yes, the notification control unit 33 causes an alarm to notify that the fault A has been resolved (S105). The notification in S105 may be made from an alarm provided in the car 4, or from an alarm provided in the hall 6. The notification in S105 may be made from both an alarm provided in the car 4 and an alarm provided in the hall 6. Preferably, the notification in S105 is made from the alarm that notified the transmission request information in S103.

[0038] In this example, user B can see the message that fault A has been resolved and then reply in the reply form that fault A has been repaired. This increases the reliability of the reply to the repair request information compared to when only user B determines whether fault A has been repaired.

[0039] Note that some of the functions of the server device 9 described in this embodiment may be realized by an inference device 50 as shown in FIG.

[0040] FIG. 5 is a diagram showing an example of an inference device 50. When the elevator system 1 includes the inference device 50, the inference device 50 may be included in the server device 9, or may be provided as a device separate from the server device 9. When the elevator system 1 includes the inference device 50, the elevator system 1 further includes a trained model storage unit 51. The function of the trained model storage unit 51 may be realized by the storage unit 40. The inference device 50 may be provided in a device capable of communicating with the server device 9. The trained model storage unit 51 may be provided in the device.

[0041] In S202, the inference device 50 infers an index for determining whether or not user B can repair fault A. The index may be the probability that user B can repair fault A. The inference device 50 includes a data acquisition unit 52 and an inference unit 53.

[0042] Inference data is input to the inference device 50. The data acquisition unit 52 acquires the inference data input to the inference device 50. The inference data includes at least the details of the malfunction that occurred in the elevator and the attributes of the user. The user is the person attempting to repair the malfunction. In the above example, the inference data includes at least the details of malfunction A and the attributes of user B. It is preferable that the inference data include the age and gender of the user as the user's attributes.

[0043] The inference data may further include other information. For example, the inference data may include information indicating the purpose for which the user uses the elevator, the frequency with which the user uses the elevator, the floor on which the user resides (stays), the weather on that day, etc. The inference data may also include information indicating the current status of the elevator device 2. When the inference data includes multiple pieces of information, the inference data is data in which the multiple pieces of information are associated with each other.

[0044] A trained model is stored in the trained model storage unit 51. Preferably, the trained model is a model for inferring, from the inference data, an index for determining whether a user can repair a malfunction that occurs in an elevator. The inference unit 53 uses the trained model stored in the trained model storage unit 51 to infer the value of the index from the inference data acquired by the data acquisition unit 52. The inference unit 53 can output the value of the index from the inference data by inputting the inference data acquired by the data acquisition unit 52 into the trained model.

[0045] As an example, the trained model is generated by a learning device 60, which will be described later. The trained model may be a trained model generated by a device other than the learning device 60.

[0046] 6 is a flowchart showing an example of the operation of the inference device 50. In the inference device 50, first, the data acquisition unit 52 acquires data for inference (S301). Next, the inference unit 53 inputs the data for inference acquired by the data acquisition unit 52 in S301 into the trained model stored in the trained model storage unit 51 (S302). Next, the inference unit 53 outputs the inference result obtained by inputting the data for inference into the trained model in S302, i.e., data indicating the above-mentioned index (S303).

[0047] As an example, the inference device 50 is provided in the server device 9 as one function of the repair determination unit 42. The repair determination unit 42 determines whether or not the user can repair the fault based on the index output from the inference device 50. In an example in which the inference device 50 outputs the probability that the fault can be repaired as the index, the repair determination unit 42 may determine that the user can repair the fault if the probability output from the inference device 50 is higher than a threshold value. The threshold value is set in advance. The repair determination unit 42 may also determine whether or not the user can repair the fault by another method that uses the inference result.

[0048] The above-mentioned learning device 60 will be described below. FIG. 7 is a diagram showing an example of the learning device 60. The learning device 60 may be included in the server device 9, or may be provided in an external device capable of communicating with the server device 9. The external device may be one specific server device, multiple specific server devices, a cloud server, or the like. The learning device 60 may be provided as a device separate from the server device 9 within the elevator system 1.

[0049] The learning device 60 learns an index for determining whether a user can repair a malfunction that has occurred in the elevator in S202, i.e., whether user B can repair malfunction A, and generates the trained model. The learning device 60 includes a data acquisition unit 61 and a model generation unit 62.

[0050] Learning data is input to the learning device 60. The data acquisition unit 61 acquires the learning data input to the learning device 60. The model generation unit 62 generates the trained model described above using the learning data acquired by the data acquisition unit 61. That is, the trained model generated by the model generation unit 62 is stored in the trained model storage unit 51.

[0051] As an example, supervised learning is adopted as the learning algorithm used by the model generation unit 62. A known algorithm such as unsupervised learning or semi-supervised learning may be used as the learning algorithm. Deep learning, which learns to extract features themselves, may be used as the learning algorithm. Other known methods such as genetic programming, inductive logic programming, or support vector machines may also be used as the learning algorithm.

[0052] An example in which supervised learning is adopted as the learning algorithm used by the model generation unit 62 will be described below.

[0053] The learning data includes the details of the malfunction that occurred in the elevator, the attributes of the user, and whether the user is able to repair the malfunction. The learning data preferably includes the age and gender of the user as the attributes of the user. The learning data may further include other information. For example, the learning data may include information indicating the purpose for which the user uses the elevator, the frequency with which the user uses the elevator, the floor on which the user resides (the floor they are staying), the weather on that day, etc. The learning data may also include information indicating the current status of the elevator device 2, etc. When the learning data includes a combination of multiple pieces of information, the learning data is data in which the multiple pieces of information are associated with each other.

[0054] The model generation unit 62 learns the above-mentioned indicators from learning data created based on a combination of, for example, the details of a malfunction that has occurred in an elevator, the attributes of a user, and whether or not the user is able to repair the malfunction. That is, the model generation unit 62 uses the learning data acquired by the data acquisition unit 61 to generate a learned model for inferring the above-mentioned indicators from the details of a malfunction that has occurred in an elevator and the attributes of a user.

[0055] As an example, the model generation unit 62 learns the above indicators through supervised learning using logistic regression analysis. For example, the learning data acquired by the data acquisition unit 61 is labeled with whether or not the failure can be repaired. Next, preprocessing is performed, such as quantifying attributes by category and processing missing values, and the acquired learning data is divided into training data and test data. Then, a model can be trained using "whether or not the failure can be repaired" as the objective variable and "details of the failure" and "user attributes" as explanatory variables.

[0056] The model generation unit 62 generates a trained model by executing the above-described learning and outputs the generated trained model. The trained model output from the model generation unit 62 is stored in the trained model storage unit 51.

[0057] 8 is a flowchart showing an example of the operation of the learning device 60. In the learning device 60, first, the data acquisition unit 61 acquires learning data (S401). Next, the model generation unit 62 uses the learning data acquired by the data acquisition unit 61 in S401 to learn the above-mentioned indicators by, for example, supervised learning, and generates a trained model (S402). Next, the trained model generated by the model generation unit 62 is stored in the trained model storage unit 51 (S403).

[0058] Next, another example of the elevator system 1 from which the learning data can be acquired will be described. Fig. 9 is a diagram showing another example of the elevator system 1 according to the first embodiment. In the following, detailed description of the same points as those in the example shown in Fig. 1 will be omitted as appropriate.

[0059] 9 includes an elevator device 2 and a server device 9, similar to the example shown in FIG. 1. The elevator device 2 includes a control device 3. The control device 3 includes, for example, a storage unit 30, a fault detection unit 31, an information generation unit 32, and a notification control unit 33. The server device 9 includes, for example, a storage unit 40, a communication unit 41, and an information recording unit 44.

[0060] Fig. 10 is a flowchart showing an example of the operation of the control device 3. The process shown in S501 of Fig. 10 is the same as the process shown in S101 of Fig. 2. When the occurrence of a fault is detected by the fault detection unit 31, a determination of Yes is made in S501.

[0061] If the determination in S501 is Yes, the information generation unit 32 generates repair request information (S502). The repair request information generated in S502 is information for displaying on the mobile terminal 11 of the user (user B) a repair method for the fault (fault A) detected by the fault detection unit 31 in S501. Furthermore, the repair request information is information for having the mobile terminal 11 of the user (user B) transmit second information to the server device 9. The second information includes, for example, the details of fault A, whether fault A can be repaired, and the attributes of user B. It is preferable that the second information includes the age and gender of user B as the attributes of user B. Other information may also be included in the second information. In a preferred example, the repair request information includes a two-dimensional code.

[0062] Next, the notification control unit 33 causes the repair request information generated by the information generation unit 32 in S502 to be notified from an alarm (S503). The repair request information may be notified from an alarm provided in the car 4, or from an alarm provided at the landing 6. The repair request information may be notified from both the alarm provided in the car 4 and the alarm provided at the landing 6.

[0063] For example, the notification control unit 33 displays a two-dimensional code on the display 7 or 8 as repair request information along with a message such as "A malfunction has been detected. If a foreign object is caught in the threshold, please remove it. Also, please take a picture of the displayed two-dimensional code and let us know whether or not the repair can be carried out." Then, when user B takes a picture of the two-dimensional code with the mobile terminal 11, a response form for the user to respond as to whether or not the repair was successful is displayed on the mobile terminal 11. The response form may include a field or tab for inputting user B's attributes. User B's attributes may be automatically registered in the response form from information stored in the mobile terminal 11.

[0064] As an example, when user B presses the "YES" button as shown in Fig. 4, second information is sent from the mobile terminal 11 to the server device 9. The second information includes the details of fault A contained in the two-dimensional code, whether fault A can be repaired or not, and user B's attributes, which user B entered in the response form.

[0065] 11 is a flowchart showing an example of the operation of the server device 9. The server device 9 determines whether or not the second information has been received from the mobile terminal 11 (S601). When the communication unit 41 receives the second information from the mobile terminal 11, the determination in S601 is Yes.

[0066] If the determination in S601 is Yes, the information recording unit 44 stores the second information received from the mobile terminal 11 in the storage unit 40 (S602). Specifically, the information recording unit 44 associates the details of fault A included in the second information with the attributes of user B and whether fault A can be repaired, and stores them in the storage unit 40. In the elevator system 1, the information stored in the storage unit 40 can be used as the learning data described above.

[0067] In this example, the control device 3 may include a maintenance management unit 34. The control device 3 may also include a resolution determination unit 35. In this case, the control device 3 may further perform the processes shown in S504 and S505. The processes shown in S504 and S505 are the same as the processes shown in S104 and S105.

[0068] In the example shown in this embodiment, the memory unit 40 of the server device 9 stores the details of a malfunction that occurred in an elevator, whether the malfunction can be repaired, and the attributes of the user who repaired or attempted to repair the malfunction. The learning device 60 may use this information stored in the memory unit 40 as training data to generate another trained model. For example, the trained model may be a model for inferring a prediction of a malfunction that will occur in an elevator from the details of a malfunction that occurred in an elevator, whether the malfunction can be repaired, and the attributes of the user who repaired or attempted to repair the malfunction. Further information may be used as training data.

[0069] Furthermore, the inference device 50 may use such a trained model to infer a failure prediction that will occur in an elevator from the inference data. That is, the trained model is used to infer a failure prediction that takes into account the case where a user who is not a professional technician has repaired or attempted to repair the failure. The inference data includes the details of the failure that occurred in the elevator, whether the failure can be repaired, and the attributes of the user who repaired or attempted to repair the failure. The inference unit 53 uses the trained model to output a failure prediction from the inference data acquired by the data acquisition unit 52.

[0070] 12 is a diagram showing an example of hardware resources of the control device 3. The control device 3 includes, as hardware resources, a processing circuit 70 including a processor 71 and a memory 72. The processing circuit 70 may include multiple processors 71. The processing circuit 70 may include multiple memories 72.

[0071] In this embodiment, the units denoted by the reference numerals 30 to 35 represent functions possessed by the control device 3. The function of the storage unit 30 is realized by a memory 72. The functions of the units denoted by the reference numerals 31 to 35 can be realized by software written as a program, firmware, or a combination of software and firmware. The program is stored in the memory 72. The control device 3 realizes the functions of the units denoted by the reference numerals 31 to 35 by executing the program stored in the memory 72 by a processor 71 (computer).

[0072] The processor 71 is also called a CPU (Central Processing Unit), etc. The memory 72 may be a semiconductor memory or the like.

[0073] Fig. 13 is a diagram showing another example of hardware resources of the control device 3. In the example shown in Fig. 13, the control device 3 includes a processing circuit 70 including a processor 71, a memory 72, and dedicated hardware 73. Fig. 13 shows an example in which some of the functions of the control device 3 are realized by the dedicated hardware 73. All of the functions of the control device 3 may also be realized by the dedicated hardware 73.

[0074] The hardware resources of the server device 9 are similar to those of the example shown in FIG. 12 or 13. The server device 9 includes, as its hardware resources, a processing circuit including a processor and a memory. The processing circuit may include multiple processors. The processing circuit may include multiple memories. The function of the storage unit 40 is realized by the memory. The server device 9 realizes the functions of the units indicated by the reference numerals 41 to 44 by executing a program stored in the memory using a processor (computer). The server device 9 may include, as its hardware resources, a processing circuit including a processor, a memory, and dedicated hardware. Some or all of the functions of the server device 9 may be realized by dedicated hardware.

[0075] The hardware resources of the inference device 50 are similar to the examples shown in Figure 12 or Figure 13. The inference device 50 has, as its hardware resources, a processing circuit including a processor and a memory. The processing circuit may include multiple processors. The processing circuit may include multiple memories. The inference device 50 realizes the functions of each part indicated by the reference numerals 52 and 53 by executing a program stored in the memory using a processor (computer). The inference device 50 may have, as its hardware resources, a processing circuit including a processor, a memory, and dedicated hardware. Some or all of the functions of the inference device 50 may be realized by dedicated hardware.

[0076] The hardware resources of the learning device 60 are similar to those shown in FIG. 12 or 13. The learning device 60 includes, as its hardware resources, a processing circuit including a processor and a memory. The processing circuit may include multiple processors. The processing circuit may include multiple memories. The learning device 60 realizes the functions of the units indicated by the reference numerals 61 and 62 by executing a program stored in the memory using a processor (computer). The learning device 60 may include, as its hardware resources, a processing circuit including a processor, a memory, and dedicated hardware. Some or all of the functions of the learning device 60 may be realized by dedicated hardware.

[0077] Examples of aspects that may be included in the present disclosure are set forth below as appendices.

[0078] [Appendix 1] An elevator control device; a server device; Equipped with The control device a fault detection unit that detects the occurrence of a fault; a notification control unit that causes an alarm to notify transmission request information for causing a user's mobile terminal to transmit, to the server device, first information including details of the failure detected by the failure detection unit and attributes of the user; Equipped with The server device a repair determination unit that determines whether the user can repair the malfunction based on the first information received from the mobile terminal; a communication unit that, when the repair determination unit determines that the user can repair the failure, transmits to the mobile terminal repair request information for displaying on the mobile terminal a repair method for the failure and a response form for responding whether or not the failure can be repaired; Elevator system with. [Appendix 2] The control device further includes a resolution determination unit that determines whether the failure has been resolved, The elevator control device described in Appendix 1, wherein the notification control unit causes the alarm to notify that the failure has been resolved when the resolution determination unit determines that the failure has been resolved. [Appendix 3] The alarm is a display provided in a car or at a landing where the car stops, The elevator control device described in Appendix 1 or Appendix 2, wherein the notification control unit displays the transmission request information including a two-dimensional code on the display. [Appendix 4] The elevator system according to any one of appendices 1 to 3, wherein the server device further comprises an information recording unit that associates the details of the failure, whether the failure can be repaired, and the attributes of the user based on a response from the mobile terminal to the repair request information, and stores the information in a memory unit. [Appendix 5] a data acquisition unit that acquires data for inference; an inference unit; Equipped with The inference data includes details of the malfunction that occurred in the elevator, whether the malfunction can be repaired, and attributes of users who have repaired or attempted to repair the malfunction, The inference unit is an inference device that outputs the failure prediction from the inference data acquired by the data acquisition unit using a learned model for inferring a failure prediction that will occur in an elevator from the inference data. [Appendix 6] a data acquisition unit that acquires learning data; a model generation unit that generates a trained model using the training data acquired by the data acquisition unit; Equipped with The learning data includes details of a malfunction that has occurred in the elevator, whether the malfunction can be repaired, and attributes of users who have repaired or attempted to repair the malfunction, The trained model is a learning device that is a model for inferring the prediction of elevator failures based on the details of the failure that occurred in the elevator, whether the failure can be repaired, and the attributes of the user who repaired or attempted to repair the failure. [Explanation of symbols]

[0079] REFERENCE SIGNS LIST 1 elevator system, 2 elevator device, 3 control device, 4 car, 5 elevator shaft, 6 landing, 7 display, 8 display, 9 server device, 10 network, 11 mobile terminal, 30 memory unit, 31 fault detection unit, 32 information generation unit, 33 notification control unit, 34 maintenance management unit, 35 resolution determination unit, 40 memory unit, 41 communication unit, 42 repair determination unit, 43 information generation unit, 44 information recording unit, 50 inference device, 51 trained model memory unit, 52 data acquisition unit, 53 inference unit, 60 learning device, 61 data acquisition unit, 62 model generation unit, 70 processing circuit, 71 processor, 72 memory, 73 dedicated hardware

Claims

1. An elevator control device; a server device; Equipped with The control device a fault detection unit that detects the occurrence of a fault; a notification control unit that causes an alarm to notify transmission request information for causing a user's mobile terminal to transmit first information to the server device, the first information including details of the failure detected by the failure detection unit and attributes of the user; Equipped with The server device a repair determination unit that determines whether the user can repair the malfunction based on the first information received from the mobile terminal; a communication unit that, when the repair determination unit determines that the user can repair the failure, transmits to the mobile terminal repair request information for displaying on the mobile terminal a repair method for the failure and a response form for responding whether or not the failure can be repaired; Elevator system with.

2. The control device further includes a resolution determination unit that determines whether the failure has been resolved, 2. The elevator system according to claim 1, wherein the notification control unit controls the alarm to notify the user that the failure has been resolved when the resolution determination unit determines that the failure has been resolved.

3. The alarm is a display provided in a car or at a landing where the car stops, 3. The elevator system according to claim 1, wherein the notification control unit causes the display device to display the transmission request information including a two-dimensional code.

4. 3. The elevator system according to claim 1, wherein the server device further comprises an information recording unit that stores in a memory unit the details of the failure, whether the failure can be repaired, and the attributes of the user, in association with each other, based on a response from the mobile terminal to the repair request information.

5. An elevator control device; a server device; Equipped with The control device a fault detection unit that detects the occurrence of a fault; a notification control unit that displays a repair method for the failure detected by the failure detection unit on the user's mobile terminal and causes an alarm to notify repair request information for transmitting second information, including details of the failure, whether the failure can be repaired, and attributes of the user, from the mobile terminal to a server device; Equipped with The server device is an elevator system including an information recording unit that stores the second information received from the mobile terminal in a memory unit.

6. The control device further includes a resolution determination unit that determines whether the failure has been resolved, The elevator system according to claim 5, wherein the notification control unit causes the alarm to notify that the failure has been resolved when the resolution determination unit determines that the failure has been resolved.

7. The alarm is a display provided in a car or at a landing where the car stops, The elevator system according to claim 5 or 6, wherein the notification control unit causes the display device to display the repair request information including a two-dimensional code.

8. a data acquisition unit that acquires data for inference; an inference unit; Equipped with The inference data includes details of the malfunction that occurred in the elevator and attributes of the user, The inference unit is an inference device that outputs an index from the inference data acquired by the data acquisition unit using a trained model for inferring an index for determining whether the user can repair the fault from the inference data.

9. The inference device according to claim 8 , wherein the inference data includes the age and gender of the user as attributes of the user.

10. a data acquisition unit that acquires learning data; a model generation unit that generates a trained model using the training data acquired by the data acquisition unit; Equipped with The learning data includes details of a malfunction that has occurred in the elevator, attributes of the user, and whether or not the user can repair the malfunction, The trained model is a learning device that is a model for inferring an index for determining whether the user can repair the fault from the content of the fault and the attributes of the user.

11. The learning device according to claim 10 , wherein the learning data includes the age and sex of the user as attributes of the user.

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