Diagnosis system, diagnosis method and program

Abstract

To provide a diagnosis system that is able to determine riding comfort and anomalies in an elevator by using data measured by various sensors built in a smart device held by a worker.SOLUTION: An elevator system 100 includes: a disturbance determination unit 24 that estimates, in accordance with a position to which a car 2 of an elevator 1 moves, a direction of a smart device 20 by comparing a magnetism measured by a magnetic sensor 31 with a magnetic map in which information on the magnetism that changes in accordance with the position of the car 2 is recorded and that determines whether a disturbance of diagnosis information by the direction of the smart device 20 is within an allowable range or not; and a diagnosis unit 25 that determines riding comfort and anomalies in the elevator 1, based on the diagnosis information in which the disturbance is determined to be within the allowable range.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a diagnostic system, a diagnostic method, and a program. [Background technology]

[0002] The safety of passengers is improved by monitoring abnormal operation of passenger transport devices such as elevators (elevators, escalators) and passenger conveyors through remote monitoring by a monitoring center. Conventional monitoring centers perform remote monitoring by acquiring sensor values ​​detected by high-precision sensors attached to the elevators. However, conventional monitoring centers do not monitor abnormalities in the ride comfort that occur as a result of elevator malfunctions.

[0003] In addition, high-precision sensors are expensive, so it is not possible to install high-precision sensors on all elevators in the necessary locations. In addition, the current diagnostic method, which is performed when remote monitoring determines that a detailed diagnosis is necessary, requires bringing a dedicated diagnostic device to the elevator on-site. However, the costs of deploying the dedicated diagnostic device at the sales office where the workers are located and transporting it from the sales office to the work site are enormous.

[0004] In recent years, workers have begun to use dedicated diagnostic equipment as well as computers for work management, and also carry smart devices such as smartphones and tablet terminals to communicate with sales offices, monitoring centers, etc. The smart devices carried by workers have various built-in sensors such as vibration sensors and microphones.

[0005] Patent document 1 states, "Acquiring ride comfort data by operating the mobile device includes instructing the elevator car to move a certain distance and placing the mobile device on an interior surface of the elevator car." [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Special Publication No. 2018-505114 Summary of the Invention [Problem to be solved by the invention]

[0007] In recent years, there has been a study on using sensors installed in smart devices as diagnostic sensors for inspecting elevators (elevators, escalators) to improve workability and safety during inspection. However, maintaining and improving workability, safety, and diagnostic accuracy when using sensors in smart devices for maintenance work has been a challenge.

[0008] For example, if a worker diagnoses the ride quality and abnormalities of an elevator while holding a smart device in his / her hand, the worker's arm and body movements become disturbances, and various sensors built into the smart device acquire measurement data different from the original measurement data, resulting in poor diagnostic accuracy. In addition, smart devices are not designed to be attached to elevators, and if a worker measures while holding it in his / her hand, the sensor values ​​vary widely. For this reason, a dedicated jig was separately required to attach the smart device to the elevator and fix its position.

[0009] In addition, the motion sensor built into the smart device could not detect the slow movement of metal objects near the car. As described above, by fixing the smart device to the car with a dedicated jig, it is expected that disturbances such as the shaking of the worker's hands can be reduced. However, since it takes time and effort for the worker to transport the dedicated jig from the business site and store it, even if an abnormality is reported at the monitoring center, it is not possible to respond immediately, and the immediacy of the abnormality response is lost. In addition, the worker needs to carry the dedicated jig separately from the smart device, and it is necessary to transport the dedicated jig and install it in the car, and to remove the dedicated jig after the measurement is completed, so the ease of the inspection work is lost.

[0010] The method of diagnosing the ride quality of an elevator using a mobile device described in Patent Document 1 includes a step of presenting a graph of measurement data to an operator to determine whether the disturbance is within the allowable range. However, whether the disturbance is within the allowable range is determined by the operator's sense, and the judgment results vary depending on the operator's level of proficiency. In addition, since the mobile device described in Patent Document 1 is attached to the wall inside the car, the measured value is not affected by the disturbance. For this reason, the technology described in Patent Document 1 does not take into account the influence of the disturbance that occurs when the operator holds the mobile device in his / her hand. In addition, since the elevator includes magnetized metal parts, the means for measuring the movement of the operator's arms and body using the motion sensor built into the mobile device described in Patent Document 1 to correct the measured value does not work well. Therefore, it has been necessary to be able to mechanically determine whether the disturbance is within the allowable range.

[0011] The present invention has been made in view of the above circumstances, and has an object to diagnose the ride comfort and abnormalities of a passenger transportation device by using data measured by an information processing terminal that is not affected by external disturbances. [Means for solving the problem]

[0012] The diagnostic system according to the present invention uses an information processing terminal to diagnose the ride quality and abnormality of a passenger transport device that transports passengers. This diagnostic system comprises an information acquisition unit that acquires magnetic fields measured by a magnetic sensor mounted on an information processing terminal and acquires diagnostic information used to diagnose the ride comfort and abnormalities of the passenger transfer device from a diagnostic sensor mounted on the information processing terminal, a disturbance determination unit that estimates the orientation of the information processing terminal by comparing the magnetic field measured by the magnetic sensor with a magnetic map in which information on magnetic fields that change depending on the position of the passenger transfer unit of the passenger transfer device moves, depending on the position of the passenger transfer unit, and determines whether a disturbance to the diagnostic information due to the orientation of the information processing terminal is within an acceptable range, and a diagnosis unit that diagnoses the ride comfort and abnormalities of the passenger transfer device based on the diagnostic information in which it has been determined that the disturbance is within an acceptable range. Effect of the Invention

[0013] According to the present invention, when it is determined that the disturbance of the information processing terminal is within the allowable range, the ride comfort and abnormality of the passenger transportation device can be diagnosed based on the diagnostic information. Problems, configurations and effects other than those described above will become apparent from the following description of the embodiments. [Brief description of the drawings]

[0014] [Figure 1] 1 is a configuration diagram showing a configuration example of an elevator according to a first embodiment of the present invention. FIG. [Diagram 2] 1 is a block diagram showing an example of the overall configuration of an elevator system according to a first embodiment of the present invention. FIG. [Diagram 3] FIG. 4 is a diagram illustrating an example of a disturbance according to the first embodiment of the present invention. [Figure 4] 1 is a block diagram showing an example of a hardware configuration of a computer according to a first embodiment of the present invention. [Diagram 5] FIG. 4 is a diagram showing an example of a change in acceleration over time according to the first embodiment of the present invention. [Figure 6] FIG. 2 is a diagram showing an example of a change in the position (altitude) of a car over time according to the first embodiment of the present invention. [Figure 7] FIG. 2 is a diagram showing an example of a magnetic map acquired with the position of the smart device fixed according to the first embodiment of the present invention. [Figure 8] FIG. 2 is a diagram showing an example in which a disturbance occurs during movement of a car according to the first embodiment of the present invention. [Figure 9] 5 is a flowchart showing an example of a process in which an operator performs elevator ride comfort and abnormality diagnosis using a smart device according to the first embodiment of the present invention. [Figure 10] FIG. 4 is a block diagram showing an example of the overall configuration of an elevator system according to a second embodiment of the present invention. [Figure 11] 13 is a flowchart showing an example of a process in which a general user uses a smart device to check the ride comfort and diagnose an abnormality in an elevator according to the second embodiment of the present invention. [Figure 12] FIG. 11 is a diagram showing an example of a magnetic map of an escalator according to a third embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings. In this specification and the drawings, components having substantially the same functions or configurations are designated by the same reference numerals, and redundant description will be omitted.

[0016] [First embodiment] FIG. 1 is a configuration diagram showing an example of the configuration of the elevator 1. The elevator 1 is provided in a hoistway 6 of a building, and its operation is monitored by a monitoring center 50 shown in Fig. 2, which will be described later. The elevator 1 is an example of a passenger transport device that transports passengers.

[0017] The elevator 1 includes a car 2, an elevator control device 7, a hoist 8, a hoist encoder 9, a main rope 10, a counterweight 11, a governor 12, a governor encoder 13, and a governor rope 14.

[0018] The car 2 ascends and descends in the hoistway 6 according to the operation control of an elevator control device 7 provided in the elevator 1. The car 2 is an example of a passenger transport section that transports passengers who have boarded the car to their destination floors. The car 2 is provided with a car door 3 that opens and closes automatically when the car 2 arrives at a landing. The car door 3 can also be opened and closed manually by an operator 19. The car 2 is suspended from one end of a main rope 10. A counterweight 11 is suspended from the other end of the main rope 10. As the car 2 and the counterweight are thus suspended from the main rope 10 via a hoist 8, the car 2 ascends and descends relative to the counterweight 11.

[0019] A worker 19 at the landing gets into the car 2 to diagnose the elevator 1. Each worker 19 carries a smart device 20. The smart device 20 is an example of a general-purpose information processing device, and has various built-in sensors. In this embodiment, the smart device 20 is used to check the ride comfort of the car 2 of the elevator 1 and diagnose any abnormalities in the elevator 1 (hereinafter also referred to as "ride comfort and abnormality diagnosis of the elevator 1").

[0020] The elevator control device 7 is provided in the pit section 15 and controls the operation of equipment in the elevator shaft 6, including the hoisting machine 8.

[0021] The hoist 8 winds up the main rope 10 to raise and lower the car 2. The hoist encoder 9 is attached to the hoist 8, and is used as an example of a lifting distance measuring unit that measures the lifting distance of the car 2. The lifting distance of the car 2 measured by the hoist encoder 9 is sent to the elevator control device 7.

[0022] A governor rope 14 that moves with the rise and fall of the car 2 is wound around the governor 12. The governor 12 stops the car 2 when the moving speed of the governor rope 14, i.e., the speed of the car 2, reaches or exceeds a specified value. The governor encoder 13 is attached to the governor 12, and is used as an example of a lifting distance measuring unit that measures the lifting distance of the car 2. The lifting distance of the car 2 measured by the governor encoder 13 is sent to the elevator control device 7. The governor rope 14 has one end attached to the car 2 and moves as the car 2 rises and falls.

[0023] A landing button 16, a landing door 17, and a landing door switch 18 are provided at the landing of each floor. The hall buttons 16 are used by passengers at the hall to register car calls. The landing door 17 opens and closes in conjunction with the opening and closing of the car door 3. In addition, an operator 19 can manually open and close only the landing door 17. The landing door switch 18 detects whether the landing door 17 is open or closed, and outputs an open / close detection signal to the elevator control device 7.

[0024] A control panel 4 is provided in the car 2, and an on-car control box 5 is provided above the car 2. The control panel 4 is provided with a destination floor registration button that allows a user who boards the car 2 to register a destination floor, and an open / close button that opens and closes the car door 3 (both not shown). The open button is provided so that a user can open the car door 3. The close button is provided so that a user can close the car door 3. The destination floor registration button is provided to allow a user to register a destination floor for car 2.

[0025] When an operator 19 in the car 2 stopped at the bottom floor connects the smart device 20 to the control panel 4 and issues an instruction to start a diagnosis of the ride comfort and abnormality of the elevator 1 according to this embodiment, the car 2 moves from the bottom floor to the top floor without stopping at any floors along the way. Note that the diagnosis of the ride comfort and abnormality of the elevator 1 may be performed while the car 2 moves from the top floor to the bottom floor.

[0026] The on-car control box 5 is provided on top of the car 2, and is used as an example of an on-car control unit. The on-car is an area above the car 2 where a worker 19 can get on and perform maintenance and inspection. The on-car control box 5 is operated by the worker 19 who performs maintenance and inspection on top of the car 2.

[0027] The elevator monitoring device 40 is a monitoring device that is provided as standard in current elevators 1, and operates independently of the smart device 20. The elevator monitoring device 40 has a function of constantly monitoring the current floor to which the car 2 is moving, the registered destination floor, whether the car 2 is operating normally, and the like, based on control information of the elevator 1 acquired from the control panel 4. In addition, the elevator monitoring device 40 acquires encoder information from the hoisting machine encoder 9 and the governor encoder 13, acquires information on the drive current from the hoisting machine 8, and acquires information on the current flowing through the car 2, and monitors the normal operation of the car 2 using each piece of information.

[0028] An elevator monitoring device 40 is installed for each car 2, and is connected to the smart device 20 wirelessly or by wire, enabling local communication. The control panel 4, elevator monitoring device 40, public line N (see FIG. 2), and monitoring center 50 are connected in this order so as to be able to communicate with each other. Therefore, the elevator monitoring device 40 can also communicate with the smart device 20 through the public line N via the monitoring center 50.

[0029] The monitoring center 50 remotely monitors for abnormalities such as the car 2 not stopping at a designated position. The monitoring center 50 also includes a magnetic map database 51 of magnetic maps measured in advance for each elevator 1, and a maintenance management system 52 (see FIG. 2). Based on the results of the diagnosis of ride comfort and abnormalities by the smart device 20, the maintenance management system 52 instructs the worker 19 to replace maintenance parts or to increase the frequency of maintenance inspections.

[0030] In this embodiment, there are a normal mode and a maintenance mode as operation modes of the elevator 1. When the worker 19 operates the control panel 4, the elevator control device 7 switches between the modes based on the content of the operation. The normal mode is an operating mode in which the car 2 travels to each floor's landing at a normal speed. General users can use the elevator 1. The maintenance mode is an operating mode that is switched from the normal mode when performing maintenance and inspection of the car 2. In the maintenance mode, the car 2 does not respond to calls registered at other floors, so that the elevator 1 cannot be used by general users.

[0031] <Overall configuration example of elevator system> 2 is a block diagram showing an example of the overall configuration of the elevator system 100. The elevator system 100 according to the present embodiment is an example of a diagnostic system that uses a smart device 20 to diagnose the ride comfort and abnormalities of the elevator 1.

[0032] The elevator system 100 of the elevator 1 according to this embodiment is composed of the car 2 of the elevator 1 (see FIG. 1), a smart device 20 held by a worker 19 in the car 2, a control panel 4 provided in the car 2, an elevator monitoring device 40, and a monitoring center 50. The smart device 20 and the elevator monitoring device 40 are both connected to be able to communicate with the monitoring center 50 via a public line N. Note that the smart device 20 may be placed on the floor of the car 2 when acquiring orientation estimation information and diagnostic information used for ride comfort and abnormality diagnosis.

[0033] <Example of smart device configuration> The smart device 20 includes a magnetic sensor 31, a microphone 32, an acceleration sensor 33, a position information acquisition unit 34, and non-standard application software 21. The application software 21 is a program installed in the smart device 20 to perform the functions according to this embodiment, and includes an information acquisition unit 22, a temporary storage unit 23, a disturbance determination unit 24, a diagnosis unit 25, a communication unit 26, and a presentation unit 27. While the power of the smart device 20 is on, the application software 21 is running and processes information received from the magnetic sensor 31, the microphone 32, and the acceleration sensor 33.

[0034] The application software 21 performs processing for diagnosing the ride comfort and abnormality of the elevator 1 based on information acquired from various sensors built into the smart device 20. The ride comfort of the elevator 1 is diagnosed, for example, when the car 2 shakes violently while traveling. In addition, an abnormality of the elevator 1 is diagnosed when the car 2 does not accelerate to a normal speed.

[0035] The information acquisition unit 22 acquires magnetism measured by a magnetic sensor 31 mounted on the smart device 20. The magnetism measured by the magnetic sensor 31 is used as orientation estimation information for a disturbance determination unit 24 described later to estimate the orientation of the smart device 20. The orientation estimation information includes the acceleration of the smart device 20 measured by an acceleration sensor 33 mounted on the smart device 20 in addition to the magnetism.

[0036] In addition, the information acquisition unit 22 acquires diagnostic information used to diagnose the ride comfort and abnormalities of the elevator 1 from a diagnostic sensor (a collective term for the acceleration sensor 33 and the microphone 32) mounted on the smart device 20. The diagnostic information includes the acceleration of the smart device 20 measured by the acceleration sensor 33 mounted on the smart device 20, and sounds around the smart device 20 picked up by the microphone 32 mounted on the smart device 20.

[0037] The magnetic sensor 31 is usually used to detect the geomagnetism, and in this embodiment, it measures the strength of the magnetic field (hereinafter referred to as "magnetism") around the smart device 20. Changes in the three axes of magnetism of the smart device 20 measured by the magnetic sensor 31 are recorded in the data recording unit 36 ​​as magnetic data for each axis. The magnetism recorded in the magnetic data changes depending on the position of the smart device 20 in the elevator 1. In the smart device 20, the magnetic sensor 31 is a required component, but the sensors used may be limited by arbitrarily replacing or adding other sensors.

[0038] The microphone 32 is usually used to pick up the voice of the user of the smart device 20, and collects sounds around the smart device 20. The microphone 32 is used to detect abnormal sounds generated in the car 2 while it is traveling. The microphone 32 collects abnormal sounds generated when the car 2 rises or falls while the worker 19 is in the car 2.

[0039] The acceleration sensor 33 is provided to detect a change in the posture of the smart device 20. When the worker 19 gets on the car 2, the car 2 moves and at the same time, the acceleration sensor 33 detects a change in the acceleration applied to the smart device 20. The up and down direction of the smart device 20 can be estimated by a disturbance determination unit 24 described later based on the acceleration of the smart device 20 itself measured by the acceleration sensor 33 as well as the gravitational acceleration.

[0040] The position information acquisition unit 34 acquires the position of the car 2 as position information. The acquisition source of the position information acquired by the position information acquisition unit 34 is assumed to be various sensors, devices, etc., in addition to the control information acquired from the elevator monitoring device 40. Therefore, the position information acquisition unit 34 acquires the position information of the car 2 based on at least one of the control information acquired from the elevator monitoring device 40 of the elevator 1, the atmospheric pressure around the smart device 20 measured by an atmospheric pressure sensor mounted on the smart device 20, and the position of the smart device 20 measured by a position sensor. For example, when the position information acquisition unit 34 acquires the control information from the elevator monitoring device 40, it can estimate the height of the car 2 extracted from the control information as the position information. This control information includes the most accurate height information. In addition, the position information acquisition unit 34 may estimate the height of the car 2 as the position information based on the elevator control information acquired from the monitoring center 50 via the communication unit 26.

[0041] The position information acquisition unit 34 may calculate the height of the car 2 based on information acquired by a sensor (not shown) compatible with GPS (Global Positioning System), UWB (Ultra Wide Band), or BLE (Bluetooth Low Energy) in addition to the above-mentioned air pressure sensor. The position information acquisition unit 34 compatible with the air pressure sensor, GPS, UWB, BLE, etc. is used to acquire position information. For example, since the air pressure decreases by 1 hPa per 10 m, the position information acquisition unit 34 can calculate the height of the car 2 according to the air pressure difference from the lowest floor. The position information acquisition unit 34 can also calculate the height of the car 2 by integrating the acceleration detected by the acceleration sensor 33. The position information acquisition unit 34 can also acquire the current position of the smart device 20 as position information by the GPS signal received by the communication unit 26. The position information acquisition unit 34 can also acquire the position information of each floor by receiving radio waves from a communication device installed on each floor of the elevator and transmitting information of each floor using technology such as UWB and BLE. In this way, the location information acquisition unit 34 can accurately determine the location of the smart device 20 during measurement by using various types of sensors.

[0042] The temporary storage unit 23 temporarily stores the orientation estimation information and the diagnostic information acquired by the information acquisition unit 22. For example, the temporary storage unit 23 temporarily stores a change in magnetism measured by the magnetic sensor 31 as magnetic data. Similarly, the temporary storage unit 23 temporarily stores the voice picked up by the microphone 32 as voice data, and temporarily stores the acceleration measured by the acceleration sensor 33 as acceleration data. Each piece of data temporarily stored in the temporary storage unit 23 is collectively referred to as measurement data.

[0043] The magnetic map recording unit 35 is a database that records pre-measured magnetic data as a magnetic map. The elevator 1 has a unique magnetic map based on pre-measured magnetic data. The worker 19 downloads the magnetic map from the magnetic map database 51 of the monitoring center 50 in advance before using the smart device 20 to check the ride comfort and diagnose abnormalities in the elevator 1. The downloaded magnetic map is recorded in the magnetic map recording unit 35. The contents of the magnetic map will be described later with reference to Figs. 7 and 8.

[0044] The disturbance determination unit 24 estimates the orientation of the smart device 20 by comparing the magnetism measured by the magnetic sensor 31 with a magnetic map in which information on the magnetism that changes depending on the position of the car 2 is recorded, depending on the position of the car 2 of the elevator 1. In addition, the magnetism measured by the magnetic sensor 31 changes depending on the position (altitude) of the car 2. Therefore, based on the position information acquired by the position information acquisition unit 34, the disturbance determination unit 24 grasps the position (altitude) of the car 2 at the time when the magnetic sensor 31 measured the magnetism.

[0045] In addition, the disturbance determination unit 24 determines whether or not a disturbance to the diagnostic information caused by the orientation of the smart device 20 is within a tolerable range. For example, the disturbance determination unit 24 calculates the orientation of the smart device 20 while acquiring measurement data from each sensor, and disturbances (arm movement, body movement).

[0046] Here, the disturbance determination unit 24 estimates the projection amount of the magnetism measured by the magnetic sensor 31 projected onto three axes using the direction estimation information corresponding to the position of the car 2 estimated based on the position information of the car 2 and the magnetic map. For example, the disturbance determination unit 24 estimates the up-down direction (e.g., Z-axis) of the smart device 20 based on the direction of gravity measured by the acceleration sensor 33 built in the smart device 20. For example, the direction in which the front surface of the smart device 20 (the side on which the display is installed) faces the +Z-axis direction is called the up-direction of the smart device 20, and the direction in which the back surface of the smart device 20 faces the -Z-axis direction is called the down-direction of the smart device 20.

[0047] Further, the disturbance determination unit 24 can estimate the remaining two axes (e.g., X and Y axes) in the horizontal direction by comparing the XYZ axes of the magnetic map with the projection amount of the magnetism detected by the magnetic sensor 31 onto the XYZ axes. If the smart device 20 does not have the position information acquisition unit 34, the disturbance determination unit 24 can also estimate the position (altitude) of the car 2 by comparing the XYZ axes of the magnetic map with the projection amount of the magnetism detected by the magnetic sensor 31 onto the XYZ axes if the smart device 20 is in the correct orientation. After that, the disturbance determination unit 24 detects the orientation of the smart device 20 based on the magnetic information measured by the magnetic sensor 31 to identify the information of the disturbance being measured and determine whether the disturbance is within the allowable range.

[0048] The disturbance determination unit 24 may estimate the disturbance in real time and notify the worker 19 that the disturbance is about to exceed the allowable range or that the disturbance has exceeded the allowable range by emitting a sound from a speaker or displaying a message by the presentation unit 27. In this case, the worker 19 is shown how to move the smart device 20, so that the worker 19 can correct the orientation of the smart device 20 to the correct position. This eliminates the need for the worker 19 to perform remeasurement.

[0049] Here, the disturbance will be described with reference to FIG. 3 is a diagram showing an example of a disturbance. In this embodiment, a disturbance refers to a behavior of the worker 19 or a state of the smart device 20 that may affect measurement data while the sensor built in the smart device 20 is performing various measurements.

[0050] In the measurement state (1) shown in FIG. 3, the worker 19 lays the smart device 20 parallel to the XY plane and faces the car door 3 near the center of the car 2. In this figure, the hand of the worker 19 holding the smart device 20 is omitted. The position of the smart device 20 in the measurement state (1) corresponds to the position of the measurement device when the magnetic map was measured in advance. In addition, the figure shows that 30° is set as the allowable range of disturbance in the +X direction based on the center C of the screen of the smart device 20. Note that the allowable range of disturbance is also set to 30° in the -X direction based on the center C of the screen of the smart device 20. If the orientation of the smart device 20 is within the allowable range of disturbance, there is no problem with the measurement. Note that the allowable range of disturbance is exemplified as 30° in the +X direction and the -X direction, but may be any angle. Furthermore, the inclination of the smart device 20, which is indicated as the allowable range of disturbance in the Z-axis direction (vertical direction), may be set at any angle, not limited to the angle on the XY plane.

[0051] In the measurement state (2) shown in FIG. 3, the worker 19 tilts the smart device 20 by 45° during the measurement. At this time, the center C of the screen of the smart device 20 is shifted from the center of the car 2. In addition, the orientation of the smart device 20 exceeds 30°, which is the allowable range of disturbance. In this state, when the smart device 20 approaches the inner wall of the car 2, the reverberation inside the car 2 may be picked up loudly. In addition, an abnormal acceleration may be measured when the worker 19 holds the smart device 20 vertically, drops the smart device 20, or moves his / her arm. In this case, the measurement data measured by the smart device 20 becomes inaccurate due to the influence of the disturbance, and the measurement data needs to be reacquired. Therefore, the disturbance determination unit 24 needs to determine whether the external disturbance is within the allowable range.

[0052] If the disturbance determination unit 24 determines that the disturbance is within the allowable range, it records the measurement data in the data recording unit 36. On the other hand, if the disturbance determination unit 24 determines that the disturbance exceeds the allowable range, it discards the data and ends the process. Note that if the disturbance determination unit 24 determines that the disturbance exceeds the allowable range, it may output a remeasurement instruction message to the display of the smart device 20.

[0053] Returning to Figure 2, we will continue with the explanation. The data recording unit 36 ​​records the measurement data for which the disturbance determination unit 24 has determined that the disturbance is within an allowable range, out of the measurement data temporarily stored in the temporary storage unit 23. The measurement data recorded in the data recording unit 36 ​​is read out by the diagnosis unit 25 and used for diagnosing an abnormality in the elevator 1.

[0054] The diagnosis unit 25 diagnoses the ride comfort and abnormalities of the elevator 1 based on the diagnosis information in which the disturbance has been determined to be within the allowable range by the disturbance determination unit 24. The diagnosis unit 25 diagnoses the ride comfort and abnormalities of the elevator 1 based on the change in acceleration and the sound in accordance with the position of the car 2 at the time of diagnosis.

[0055] The diagnosis unit 25 can determine the direction of the car 2, the position of the car 2, and the movement of metal objects such as the opening and closing of the car door 3 by associating the measurement data with the magnetic map. The state of the elevator 1 diagnosed by the diagnosis unit 25 includes, for example, the ride comfort of the car 2. The diagnosis unit 25 can detect slow movement of the smart device 20 by using the direction detected by the magnetic sensor 31 and the change value of the magnetic direction measured by the magnetic sensor 31. The diagnosis unit 25 can also detect fast movement of the smart device 20 by using acceleration data measured by the acceleration sensor 33.

[0056] For this reason, the diagnosis unit 25 combines the detected movements of the smart device 20, and if there are abnormal sounds, vibrations, magnetic disturbances, etc., it outputs a diagnosis result that the ride comfort of the elevator 1 has deteriorated. For example, if a high-frequency sound different from the sound generated by the car 2 is picked up, or if a periodically loud sound is picked up, the sound is determined to be an abnormal sound. The diagnosis unit 25 then stores the diagnosis result in the diagnosis result recording unit 37. This diagnosis result includes, for example, information about the elevator 1 that has been diagnosed as needing inspection or maintenance.

[0057] As described above, the disturbance determination unit 24 and the diagnosis unit 25 can perform real-time processing in accordance with the time when the information acquisition unit 22 acquires the direction estimation information and the diagnosis information while the car 2 is moving. In addition, the disturbance determination unit 24 and the diagnosis unit 25 can also perform batch processing based on the direction estimation information and the diagnosis information read from the temporary storage unit 23 after the car 2 moves. For example, when the worker 19 suddenly starts diagnosing the elevator 1 for which the magnetic map has not been downloaded in advance, the worker 19 can perform only measurements using the sensors of the smart device 20 first, and perform disturbance determination and diagnosis after downloading the magnetic map. Therefore, the worker 19 can switch between real-time processing and batch processing according to the situation at the time of diagnosis.

[0058] The communication unit 26 reads out the diagnostic results recorded in the diagnostic result recording unit 37, and transmits the diagnostic results to the management server 60 of the monitoring center 50 via the public line N. The diagnostic results are managed by the management server 60 provided in the monitoring center 50, and the diagnostic results are recorded for each elevator 1. The diagnostic results are then transmitted to a predetermined maintenance and inspection plan formulation department (not shown) of the maintenance management system 52, etc. The diagnostic results are used by the maintenance management system 52 for maintenance and inspection work plans, etc.

[0059] The presentation unit 27 presents the diagnosis result of the diagnosing unit 25. The operator 19 can check the diagnosis result presented on the presentation unit 27. The presentation unit 27 can also present the disturbance determination result of the disturbance determining unit 24.

[0060] The monitoring center 50 uses the location information provided by the location information acquisition unit 34 provided in the smart device 20 to verify information specific to the elevator 1. The communication unit 26 of the smart device 20 communicates the location information acquired by the location information acquisition unit 34 to the monitoring center 50. Based on the current location of the worker 19 acquired by the location information acquisition unit 34, the monitoring center 50 identifies the elevator 1 installed at that location.

[0061] <Example of computer hardware configuration> Next, the hardware configuration of the computer 110 constituting the smart device 20 will be described. Fig. 4 is a block diagram showing an example of a hardware configuration of the calculator 110. The calculator 110 is an example of hardware used as a computer capable of operating as a diagnostic device according to the present embodiment. The smart device 20 according to the present embodiment realizes a diagnostic method performed by the respective functional blocks shown in Fig. 2 in cooperation with each other by the calculator 110 (computer) executing a program.

[0062] The computer 110 includes a CPU (Central Processing Unit) 111, a ROM (Read Only Memory) 112, and a RAM (Random Access Memory) 113, each of which is connected to a bus 114. The computer 110 further includes a display device 115, an input device 116, a non-volatile storage 117, and a network interface 118.

[0063] The CPU 111 reads out program code of software for realizing each function according to this embodiment from the ROM 112, loads it into the RAM 113, and executes it. Variables, parameters, etc. generated during the arithmetic processing of the CPU 111 are temporarily written into the RAM 113, and these variables, parameters, etc. are read out by the CPU 111 as appropriate. The functions of the information acquisition unit 22, the disturbance determination unit 24, and the diagnosis unit 25 shown in FIG. 2 are realized by the CPU 111. In addition, the temporary storage unit 23 shown in FIG. 2 is realized by the RAM 113.

[0064] The display device 115 displays the results of processing performed by the computer 110 to the worker 19. The input device 116 receives a predetermined operation input or instruction from the worker 19 and outputs an operation signal to the CPU 111. The display device 115 and the input device 116 are combined and used as a touch panel display device. The function of the presentation unit 27 shown in FIG. 2 is realized by the touch panel display device. Note that a keyboard or the like may be attached to the smart device 20 as the input device 116, and a signal generated by key operation may be input to the smart device 20.

[0065] As the nonvolatile storage 117, for example, an SSD (Solid State Drive), a nonvolatile memory (flash memory), etc. are used. In addition to an OS (Operating System) and various parameters, a program for making the computer 110 function is recorded in this nonvolatile storage 117. The ROM 112 and the nonvolatile storage 117 record programs, data, etc. required for the CPU 111 to operate, and are used as an example of a computer-readable non-transient storage medium storing a program executed by the computer 110. The magnetic map recording unit 35, the data recording unit 36, and the diagnosis result recording unit 37 shown in FIG. 2 are realized by the nonvolatile storage 117.

[0066] For example, a NIC (Network Interface Card) or the like is used as the network interface 118, and various data can be transmitted and received between devices via a LAN (Local Area Network), a dedicated line, etc. connected to a terminal of the NIC. The function of the communication unit 26 shown in FIG. 2 is realized by the network interface 118.

[0067] Fig. 5 is a diagram showing an example of a change in acceleration over time. Acceleration information is recorded as acceleration data output by acceleration sensor 33. The horizontal axis of the graph shown in Fig. 5 represents time [sec], and the vertical axis represents acceleration [g].

[0068] 5 shows how the acceleration changes when the car 2 rises from the bottom floor to the top floor of the elevator shaft 6, stops temporarily, and then descends from the top floor to the bottom floor. The timing when the car 2 starts to rise is t1, the timing when the car 2 stops rising is t2, the timing when the car 2 starts to descend is t3, and the timing when the car 2 stops descending is t4. Measurements for diagnosing an abnormality in the elevator 1 according to this embodiment are performed only once when the car 2 rises or descends, and the car 2 does not stop at intermediate floors.

[0069] Fig. 6 is a diagram showing an example of a change over time in the position (altitude) of the car 2. Information on the position (altitude) of the car 2 is recorded in the position data output by the position information acquisition unit 34. The horizontal axis of the graph shown in Fig. 6 represents time [sec], and the vertical axis represents the position (altitude) [m] of the car 2.

[0070] The position (altitude) of the cage 2 changes in the same manner as at timings t1 to t4 shown in Fig. 5. Here, the magnetic map will be described focusing on timing t11 when the cage 2 is rising. Also, a dashed line L1, which is also common to Figs. 7 and 8 described later, is illustrated in accordance with timing t11.

[0071] Fig. 7 is a diagram showing an example of a magnetic map acquired with the position of the smart device 20 fixed. The horizontal axis of Fig. 7 represents the position (altitude) [m] of the car 2, and the vertical axis represents the magnetic field in the XYZ axis directions.

[0072] FIG. 7 shows graph (1) representing the magnetism in the X-axis direction, graph (2) representing the magnetism in the Y-axis direction, and graph (3) representing the magnetism in the Z-axis direction measured while the car 2 rises from the lowest floor to the highest floor of the elevator 6. The position (altitude) m0 of the car 2 at the start position of each graph is the same. When the car 2 finishes rising, the car 2 stops at position (altitude) m1. When the car 2 descends, it passes through the same position as when the car 2 rose, so the magnetic map is the graph shown in FIG. 7 from position (altitude) m1 to position (altitude) m0. Graphs (1) to (3) represent magnetic maps and show the orientation of the smart device 20 relative to the elevator 1.

[0073] A unique magnetic map is measured in advance for each elevator 1. The magnetic map is a record of magnetism measured at a certain height and in a certain direction in the car 2 by a measuring device other than the smart device 20. The disturbance determination unit 24 associates the magnetism measured by the magnetic sensor 31 with the magnetic map, thereby being able to determine the direction of the car 2, the position of the car 2, and the movement state of metal objects such as the opening and closing of the car door 3.

[0074] The magnetic map is a projection of the magnetism measured by the magnetic sensor 31 onto three axes, X, Y, and Z, and is recorded in the magnetic map recording unit 35. When the diagnosis is started, as the car 2 moves, the disturbance determination unit 24 compares the three-axis measurement amount of the magnetism measured by the magnetic sensor 31 of the smart device 20 with the three-axis magnetism of the magnetic map, with the values ​​of the time periods associated with the height of the car 2 moved at a certain time. For example, the disturbance determination unit 24 determines the orientation of the smart device 20 by comparing the value of the composite magnetism of the three axes with the measurement result of the magnetism measured by the magnetic sensor 31.

[0075] FIG. 8 is a diagram showing an example in which a disturbance occurs while the car 2 is moving. In Figure 8, there are also shown graph (1) representing the magnetism in the X-axis direction, graph (2) representing the magnetism in the Y-axis direction, and graph (3) representing the magnetism in the Z-axis direction. The horizontal axis of each graph is time [sec]. Let us also assume that car 2 starts to rise from timing t1. The graph shown by the solid line in Figure 8 represents the change in the magnetism measured by magnetic sensor 31, and the graph shown by the dashed line represents the change in the magnetic map when the horizontal axis of Figure 7 is changed from position (altitude) to time.

[0076] Graph (1) shows magnetic tolerance range 91 for the projection amount of the measured magnetism onto the X-axis. Similarly, graph (2) shows magnetic tolerance range 92 for the projection amount of the measured magnetism onto the Y-axis, and graph (3) shows magnetic tolerance range 93 for the projection amount of the measured magnetism onto the Z-axis.

[0077] After the car 2 starts to rise, until the time t11 when the worker 19 holds the smart device 20 in the correct position, the three-axis magnetism measured by the magnetic sensor 31 almost coincides with the magnetic map. Therefore, all of the three-axis magnetism measured by the magnetic sensor 31 is within the magnetic tolerance range 91 to 93.

[0078] At timing t11, the worker 19 changes the orientation of the smart device 20, causing a disturbance, and the waveforms of the graphs change significantly after timing t11. Therefore, the three-axis magnetism measured by the magnetic sensor 31 does not match the magnetic map. In addition, all of the three-axis magnetism measured by the magnetic sensor 31 exceeds the magnetic tolerance ranges 91 to 93.

[0079] In this way, when the orientation of the smart device 20 changes slightly, the three-axis magnetism measured by the magnetic sensor 31 falls within the magnetic map and the magnetic permissible ranges 91 to 93. On the other hand, when the orientation of the smart device 20 changes around timing t11 and a disturbance occurs, the three-axis magnetism measured by the magnetic sensor 31 exceeds the magnetic permissible ranges 91 to 93 shown in the magnetic map. For this reason, the disturbance determination unit 24 determines that the disturbance exceeds the permissible range. Note that, even if any one of the magnetic permissible ranges 91 to 93 is exceeded, the disturbance determination unit 24 also determines that the disturbance exceeds the permissible range.

[0080] When a disturbance occurs, diagnostic information acquired from each sensor of the smart device 20 becomes unsuitable for diagnosis. Therefore, when the disturbance determination unit 24 determines that a disturbance has occurred, it notifies the worker 19 of the disturbance and instructs the direction in which to change the orientation of the smart device 20. When the worker 19 returns the orientation of the smart device 20 to the original orientation as instructed, the three-axis magnetism measured by the magnetic sensor 31 falls within the magnetic tolerance ranges 91 to 93 of the magnetic map, so that the diagnosis by the diagnosis unit 25 can continue.

[0081] Next, a flowchart for explaining the diagnostic method according to the first embodiment will be referred to. FIG. 9 is a flowchart showing an example of a process in which an operator 19 uses a smart device 20 to check the ride comfort and diagnose an abnormality in the elevator 1.

[0082] First, the elevator monitoring device 40 judges whether or not the ride comfort and abnormality diagnosis of the elevator 1 are necessary (S1). The elevator monitoring device 40 judges the necessity of the ride comfort and abnormality diagnosis based on the measurement data measured by the smart device 20 by an error code in the control device or a timer operation for inspection, for example, once a month. If the elevator monitoring device 40 judges that the ride comfort and abnormality diagnosis are not necessary (NO in S1), the process returns to step S1 again, and the elevator monitoring device 40 repeats the judgment process of step S1 after a predetermined time.

[0083] On the other hand, when the elevator monitoring device 40 determines that ride comfort and abnormality diagnosis are necessary (YES in S1), the worker 19 takes the smart device 20 and starts measurements for ride comfort and abnormality diagnosis. Prior to starting the measurements, the worker 19 inputs elevator information of the elevator 1 into the smart device 20. The elevator information is input into the smart device 20, for example, by the worker 19 manually inputting the information, or by acquiring the information by having the smart device 20 communicate with the control panel 4, or by reading an RFID tag or a two-dimensional code (both not shown) installed on the elevator 1.

[0084] When the car 2 is moved from the lowest floor to the highest floor to evaluate ride comfort and diagnose an abnormality, the worker 19 operates the elevator 1 and stops the car 2 at the lowest floor, for example. Then, the worker 19, carrying the smart device 20, gets on the car 2 from the lowest floor and registers the top floor in the control panel 4. When the car 2 starts to rise, the smart device 20 performs measurements with each sensor (S2). The measurement data measured by each sensor is acquired by the information acquisition unit 22 of the smart device 20.

[0085] Next, the position information acquisition unit 34 calculates the altitude (position) of the car 2 based on the control information acquired from the elevator monitoring device 40 (S3). For example, the position information acquisition unit 34 can calculate the height of the moving car 2 or the floor where the car 2 is located based on the control information. The measurement data collected by the information acquisition unit 22 and the calculated height of the car 2 are stored in the temporary storage unit 23.

[0086] Next, the disturbance determination unit 24 calculates the orientation of the smart device 20 based on the measurement data of the magnetic sensor 31 read from the temporary storage unit 23 and the magnetic map read from the magnetic map recording unit 35 (S4). Next, the disturbance determination unit 24 calculates the disturbance based on a change in the orientation of the smart device 20 (S5).

[0087] Next, the disturbance determination unit 24 determines whether the disturbance is within a tolerable range (S6). At this time, the disturbance determination unit 24 calculates how the orientation of the smart device 20 has changed during the measurement, and compares the amount of change in the orientation of the smart device 20 with the tolerable range.

[0088] If the disturbance is not within the allowable range (NO in S6), the process returns to step S2, and the smart device 20 performs measurement again. Here, the disturbance determination unit 24 may present the result of the disturbance determination to the presentation unit 27 in real time. For example, the worker 19 may be informed that the measurement cannot be performed correctly due to the disturbance. In addition, the amount of deviation of the smart device 20 from the allowable range and the measurement position suitable for diagnosis may be presented to the presentation unit 27. For example, as shown in FIG. 3, when the orientation of the smart device 20 is tilted 45 degrees and exceeds the allowable range of 30 degrees, a message such as "A disturbance has occurred. Please tilt the smart device 20 30 degrees to the left" may be presented on the screen of the smart device 20 to the presentation unit 27. The worker 19 who has confirmed this message can tilt the smart device 20 to the correct orientation.

[0089] On the other hand, if the disturbance is within the allowable range (YES in S6), the diagnosis unit 25 performs a ride comfort and abnormality diagnosis of the elevator 1 based on the diagnosis information (S7), and ends this process. The diagnosis result is recorded in the diagnosis result recording unit 37 shown in FIG. 2. The diagnosis unit 25 presents the diagnosis result on a touch panel display (an example of a presentation unit) of the smart device 20. In addition, the communication unit 26 transmits the diagnosis result to the monitoring center 50 via the public line N.

[0090] In the smart device 20 according to the first embodiment described above, sensors such as an acceleration sensor and a microphone of a conventional diagnostic device installed in the car 2 are replaced with sensors built into the smart device 20, enabling the worker 19 to carry out measurements by hand. In the conventional ride comfort and abnormality diagnosis using only a motion sensor, only relative changes in the orientation of the smart device could be tracked, and errors in the orientation of the smart device 20 were accumulated. On the other hand, errors are not accumulated in the orientation of the smart device 20 estimated using the magnetic map built into the smart device 20 according to the present embodiment. In addition, the information acquisition unit 22 acquires orientation estimation information and diagnostic information used by the disturbance determination unit 24 to determine a disturbance. Therefore, the disturbance determination unit 24 can estimate the orientation of the smart device 20 at a specific time with high accuracy using the magnetic data and magnetic map at the time measured by the magnetic sensor 31.

[0091] In addition, after estimating the orientation of the smart device 20, the disturbance determination unit 24 determines whether the orientation of the smart device 20 is within an allowable range of disturbance. The diagnosis unit 25 selects data measured by the smart device 20 in an orientation that is within the allowable range of disturbance, and can diagnose ride comfort and abnormalities based on this data, thereby improving the accuracy of the diagnosis result.

[0092] Furthermore, regardless of the proficiency of the worker 19, the ride comfort and abnormalities of the elevator 1 can be diagnosed with high accuracy using measurement data obtained by the worker 19 while holding the smart device 20. Also, the height of the smart device 20 can be estimated using information obtained from the elevator 1 other than the smart device 20, improving the estimation accuracy of the orientation of the smart device 20. Thus, compared to a conventional process of estimating the orientation of a smart device using only data measured by a sensor provided in the smart device, in this embodiment, magnetism is associated with a magnetic map, and the orientation of the smart device 20 can be determined with high accuracy.

[0093] In addition, the diagnosis unit 25 can diagnose the ride comfort and abnormalities of the elevator 1, including rattling or abnormal sounds that occur in the car 2 while the elevator is moving, based on the sound information acquired by the microphone 32 and the acceleration information acquired by the acceleration sensor 33.

[0094] In the first embodiment, before the application software 21 performs ride comfort and abnormality diagnosis, a magnetic map is downloaded from the monitoring center 50. Thereafter, the magnetic map read from the magnetic map recording unit 35 is used for ride comfort and abnormality diagnosis. In addition, the communication unit 26 of the smart device 20 can obtain control information for the elevator 1 from the control panel 4 by local communication, or it can obtain the control information from the monitoring center 50. Therefore, it is not necessary to add new communication equipment to existing elevators 1, and ride comfort and abnormality diagnosis for various elevators 1 can be easily performed.

[0095] [Second embodiment] Next, an elevator system according to a second embodiment of the present invention will be described with reference to Fig. 10. In the elevator system according to the second embodiment, the ride comfort and abnormality diagnosis are performed at a monitoring center. Also, in the elevator system according to the second embodiment, the ride comfort and abnormality diagnosis of the elevator 1 are performed using a smart device 20 carried and used by general users other than the worker 19. FIG. 10 is a block diagram showing an example of the overall configuration of an elevator system 100A according to the second embodiment.

[0096] The elevator system 100A includes a smart device 20, an elevator monitoring device 40, and a monitoring center 50, similar to the elevator system 100 according to the first embodiment shown in FIG.

[0097] The application software 21A of the smart device 20 according to the second embodiment does not perform disturbance judgment, and does not perform ride comfort and abnormality diagnosis of the elevator 1. For this reason, the application software 21A installed in the smart device 20 only includes an information acquisition unit 22, a temporary storage unit 23, a communication unit 26, and a presentation unit 27. The smart device 20 also includes a magnetic sensor 31, a microphone 32, an acceleration sensor 33, and a position information acquisition unit 34. The information acquisition unit 22 stores the orientation estimation information and diagnostic information (e.g., magnetic data, voice data, and acceleration data) measured by the magnetic sensor 31, the microphone 32, and the acceleration sensor 33 in the temporary storage unit 23. The communication unit 26 also transmits the magnetic data, orientation estimation information, and diagnostic information read from the temporary storage unit 23 to the management server 60 of the monitoring center 50 via the public line N.

[0098] The monitoring center 50 includes a management server 60 in addition to a magnetic map database 51 and a maintenance management system 52. The management server 60 includes a communication unit 61, a data recording unit 62, a disturbance determination unit 63, a diagnosis unit 64, and a diagnosis result recording unit 65, and performs disturbance determination and a diagnosis of the ride comfort and an abnormality of the elevator 1 on behalf of the smart device 20. The management server 60 records the diagnosis result by the diagnosis unit 64 in the diagnosis result recording unit 65 and transmits it to the smart device 20.

[0099] The communication unit 61 communicates with the smart device 20 and the elevator monitoring device 40 through the public line N. The communication unit 61 receives magnetic data, voice data, acceleration data, and position data from the smart device 20 via the communication unit 26, and records these data in the data recording unit 62.

[0100] The disturbance determination unit 63 uses the magnetic map read from the magnetic map database 51 and the magnetic data read from the data recording unit 62 to determine whether a disturbance has occurred. When the disturbance determination unit 63 determines that the disturbance is within the allowable range, the diagnosis unit 64 performs a diagnosis of the ride comfort and abnormality of the elevator 1 using the voice data and the acceleration data. The diagnosis results of the ride comfort and abnormality diagnosis are recorded in the diagnosis result recording unit 65.

[0101] The diagnostic result recorded in the diagnostic result recording unit 65 is read by the maintenance management system 52. The diagnostic result is also read by the communication unit 61 and transmitted to the smart device 20 via the public line N. The smart device 20 can present the diagnostic result received from the management server 60 on the presentation unit 27.

[0102] Next, a flowchart for explaining a diagnostic method according to the second embodiment will be referred to. 11 is a flowchart showing an example of a process in which a general user performs ride comfort and abnormality diagnosis of the elevator 1 using the smart device 20. This process is intended for a general user, such as the owner of a building in which the elevator 1 is installed, to perform ride comfort and abnormality diagnosis of the elevator 1 as part of daily inspection.

[0103] When a general user starts the application software 21 of the smart device 20, the application software 21 transmits to the elevator control device 7 a message indicating that the ride comfort and abnormality diagnosis of the elevator 1 are required (S11).

[0104] Next, measurement is performed by the smart device 20 (S12). The car 2 moves, for example, from the lowest floor to the highest floor, and while the car 2 moves, the information acquisition unit 22 of the smart device 20 acquires information acquired by each sensor and the position information acquisition unit 34.

[0105] Next, in response to an instruction from the elevator control device 7, the elevator monitoring device 40 judges whether or not the elevator 1 is being operated in a manner suitable for providing ride comfort and for abnormality diagnosis (S13). An operation suitable for providing ride comfort and for abnormality diagnosis is, for example, an operation of the elevator 1 performed when no other inspection is being performed on the elevator 1 or when the car 2 is equipped with a device that generates noise when in operation. If the elevator 1 is not being operated in a manner suitable for providing ride comfort and for abnormality diagnosis (NO in S13), the process returns to step S13 and the judgment process is performed again after a predetermined time has elapsed.

[0106] If the elevator 1 is operating in a manner suitable for ride comfort and abnormality diagnosis (YES in S13), the communication unit 26 of the management server 60 receives the data transmitted from the smart device 20 (S14). This data includes data measured by the information acquisition unit 22 of the smart device 20 in step S12 while the car 2 is moving. In addition, the data received by the communication unit 26 is recorded in the data recording unit 62.

[0107] The disturbance determination unit 63 of the management server 60 calculates the orientation of the smart device 20 based on the magnetism measured by the magnetic sensor 31 of the smart device 20 read from the data recording unit 62 and the magnetic map read from the magnetic map database 51 (S15). In addition, the disturbance determination unit 63 calculates the disturbance based on a change in the orientation of the smart device 20 (S16).

[0108] The disturbance determination unit 63 determines whether the disturbance is within a tolerable range (S17). At this time, the disturbance determination unit 24 calculates how the orientation of the smart device 20 has changed during the measurement, and compares the amount of change in the orientation of the smart device 20 with the tolerable range.

[0109] If the disturbance is not within the allowable range (NO in S17), the process returns to step S13, and the smart device 20 performs measurement again. On the other hand, if the disturbance is within the allowable range (YES in S17), the diagnosing unit 25 performs an abnormality diagnosis of the ride comfort (S18), and ends this process. The diagnosis result is transmitted to the maintenance management system 52. The diagnosis result is also transmitted to the smart device 20 via the communication unit 61. This allows general users to check the abnormality diagnosis result received by the smart device 20.

[0110] In the elevator system 100A according to the second embodiment described above, after the start of diagnosis of the ride comfort and abnormality of the elevator 1, various data measured by the smart device 20 is sent to the monitoring center 50. After that, the management server 60 of the monitoring center 50 judges the disturbance and diagnoses the ride comfort and abnormality of the elevator 1 based on the data measured by the smart device 20. The smart device 20 does not need to build the magnetic map database 51 in the terminal in advance, and the processing of the application software 21A can be minimized, so the load on the smart device 20 is reduced.

[0111] Note that the management server 60 does not need to perform processing in real time. Therefore, even in an environment where the smart device 20 can only be used offline, the smart device 20 can perform measurement. After the measurement, when the smart device 20 is brought to an online environment, the data measured by the smart device 20 can be updated to the management server 60. Therefore, the management server 60 can diagnose the ride comfort and abnormalities of the elevator 1 by batch processing the measurement data collected from multiple smart devices 20.

[0112] [Third embodiment] In the first and second embodiments, an example has been described in which the ride comfort and abnormality diagnosis of the elevator 1 was performed, but it is also possible to perform diagnosis of the ride comfort and abnormality of other passenger conveyors. Here, a magnetic map used in diagnosing the ride comfort and abnormality of an escalator, which is an example of a passenger conveyor, will be described. An escalator is an example of a passenger transport device that transports passengers.

[0113] Fig. 12 is a diagram showing an example of a magnetic map of an escalator. The horizontal axis of Fig. 12 is the position (altitude) [m] of the escalator step, and the vertical axis is the magnetic field in the XYZ axis directions. Fig. 12 shows graph (1) showing the magnetic field in the X axis direction, graph (2) showing the magnetic field in the Y axis direction, and graph (3) showing the magnetic field in the Z axis direction measured while the step rises from the lower floor to the upper floor.

[0114] An escalator (not shown) is provided with a step as an example of a passenger transfer section. For example, a worker 19 stands on a step on a lower floor, starts application software 21, and continues measuring with smart device 20 facing a certain direction until the step moves to an upper floor. The escalator also has a magnetic map similar to the magnetic map of elevator 1 shown in FIG. 7. Therefore, disturbance determination unit 24 can determine disturbance by associating the magnetism acquired by magnetic sensor 31 with the magnetic map of the escalator. After that, diagnosis unit 25 can diagnose the ride comfort and abnormality of the escalator based on the information measured by each sensor of smart device 20.

[0115] In addition to escalators, the diagnostic unit 25 of the smart device 20 can also diagnose ride comfort and abnormalities for passenger transport devices such as passenger conveyors that move horizontally, called moving walkways. In this case, the worker 19 stands on the footboard of the passenger conveyor, starts the application software 21, and continues measuring with the smart device 20 facing in a certain direction until the footboard moves to the upper floor. For passenger conveyors that move horizontally, the position information of the magnetic map does not include altitude, but this does not interfere with the disturbance determination by the disturbance determination unit 24 and the diagnosis of ride comfort and abnormalities by the diagnostic unit 25.

[0116] [Variations] The diagnosing unit 25 may diagnose the state of the building based on information acquired by the angular velocity sensor. For example, when a distortion occurs in the building, such as after an earthquake, the magnetic map changes. Therefore, the diagnosing unit 25 may diagnose that a distortion of the building has occurred based on a change in the angular velocity measured by the angular velocity sensor.

[0117] In the above-described embodiment, the smart device 20 is given as an example of the information processing terminal. However, various other devices such as a smartphone, a smart watch, a mobile terminal, a PC device, and a tablet terminal may also be used as the information processing terminal.

[0118] In addition, the worker 19 who is in the car 2 may have the orientation of the smart device 20 exceed the allowable range for a short time. In this case, it takes extra time to return the car 2 to the lowest floor and perform a re-diagnosis. For this reason, the ride comfort and abnormality of the passenger transfer section may be diagnosed based on the diagnostic information excluding the period during which the orientation of the smart device 20 exceeded the allowable range. For example, if the time it takes for the car 2 to move from the lowest floor to the highest floor is 30 seconds, the diagnostic unit 25 may perform a ride comfort and abnormality diagnosis if the total time during which the orientation of the smart device 20 exceeded the allowable range is about 3 seconds, which is one tenth of the time.

[0119] The present invention is not limited to the above-described embodiments, and it goes without saying that various other applications and modifications are possible without departing from the gist of the present invention as set forth in the claims. For example, the above-mentioned embodiments have described the configuration of the device and system in detail and specifically in order to explain the present invention in an easily understandable manner, and are not necessarily limited to those having all of the configurations described. In addition, it is possible to replace a part of the configuration of the embodiment described here with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. In addition, it is also possible to add, delete, or replace a part of the configuration of each embodiment with another configuration. In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and not all control lines and information lines in the product are necessarily shown. In reality, it can be considered that almost all components are connected to each other. [Explanation of symbols]

[0120] 1... elevator, 7... elevator control device, 19... worker, 20... smart device, 21, 21A... application software, 22... information acquisition unit, 24... disturbance determination unit, 25... diagnosis unit, 26... communication unit, 27... presentation unit, 31... magnetic sensor, 32... microphone, 33... acceleration sensor, 34... position information acquisition unit, 35... magnetic map recording unit, 36... data recording unit, 37... diagnosis result recording unit, 40... elevator monitoring device, 50... monitoring center, 51... magnetic map database, 52... maintenance management system, 60... management server, 63... disturbance determination unit, 64... diagnosis unit, 100, 100A... elevator system

Claims

1. A diagnostic system for diagnosing ride comfort and abnormalities of a passenger transportation device that transports passengers using an information processing terminal, comprising: an information acquisition unit that acquires magnetic fields measured by a magnetic sensor mounted on the information processing terminal and acquires diagnostic information used for diagnosing ride comfort and abnormalities of the passenger transportation device from a diagnostic sensor mounted on the information processing terminal; a disturbance determination unit that estimates the orientation of the information processing terminal by comparing the magnetic field measured by the magnetic sensor with a magnetic map in which information on magnetic fields that change depending on the position of the passenger transport unit of the passenger transport device is recorded, in accordance with the position of the passenger transport unit, and determines whether or not a disturbance to the diagnostic information due to the orientation of the information processing terminal is within an allowable range; a diagnosis unit that diagnoses the ride comfort and abnormality of the passenger transfer unit based on the diagnosis information in which the disturbance is determined to be within an allowable range. Diagnostic system.

2. a position information acquisition unit that acquires position information of the passenger transport unit, The disturbance determination unit uses the magnetism measured by the magnetic sensor as orientation estimation information for estimating the orientation of the information processing terminal, and estimates the orientation of three axes of the information processing terminal using the orientation estimation information corresponding to the position of the passenger transport unit, which is estimated based on the position information of the passenger transport unit, and the magnetic map. The diagnostic system of claim 1 .

3. the orientation estimation information includes an acceleration of the information processing terminal measured by an acceleration sensor mounted on the information processing terminal, The disturbance determination unit estimates a vertical orientation of the information processing terminal based on the acceleration, and estimates a horizontal orientation of the information processing terminal based on the magnetism. The diagnostic system of claim 2 .

4. the diagnostic information includes an acceleration of the information processing terminal measured by an acceleration sensor mounted on the information processing terminal, and a sound around the information processing terminal picked up by a microphone mounted on the information processing terminal, The diagnosis unit aligns with the position of the passenger conveying unit and makes a diagnosis based on the change in acceleration and the sound. The diagnostic system of claim 3.

5. The position information acquisition unit acquires position information of the passenger transport unit based on at least one of control information acquired from the passenger transport device, air pressure around the information processing terminal measured by an air pressure sensor mounted on the information processing terminal, and the position of the information processing terminal measured by a position sensor. The diagnostic system of claim 4.

6. a storage unit that stores the orientation estimation information and the diagnosis information, The disturbance determination unit and the diagnosis unit perform real-time processing in accordance with the time when the information acquisition unit acquires the orientation estimation information and the diagnosis information while the passenger transport unit is moving, or perform batch processing based on the orientation estimation information and the diagnosis information read from the storage unit after the passenger transport unit has moved. The diagnostic system of claim 5 .

7. a presentation unit that presents a diagnosis result by the diagnosis unit; The diagnostic system of claim 6.

8. the information processing terminal includes the information acquisition unit, the disturbance determination unit, the diagnosis unit, and a communication unit that transmits a diagnosis result by the diagnosis unit to a management server; The management server records the diagnosis results for each of the passenger transport devices. The diagnostic system of claim 4.

9. the information processing terminal includes the information acquisition unit and a communication unit that transmits the orientation estimation information and the diagnosis information to a management server; The management server includes the disturbance determination unit and the diagnosis unit, and records a diagnosis result by the diagnosis unit in a recording unit or transmits the diagnosis result to the information processing terminal. The diagnostic system of claim 4.

10. The passenger transport device is an elevator, and the passenger transport section is a car in which the passengers ride. The diagnostic system of claim 4.

11. The passenger transfer device is a passenger conveyor, and the passenger transfer portion is a step on which the passenger stands. The diagnostic system of claim 4.

12. A diagnostic method for diagnosing ride comfort and abnormality of a passenger transportation device that transports passengers, using an information processing terminal, comprising: acquiring magnetic fields measured by a magnetic sensor mounted on the information processing terminal, and acquiring diagnostic information used for diagnosing ride comfort and abnormalities of the passenger transportation device from a diagnostic sensor mounted on the information processing terminal; a step of estimating the orientation of the information processing terminal by comparing the magnetic field measured by the magnetic sensor with a magnetic map in which information on magnetic fields that change depending on the position of the passenger transport unit of the passenger transport device is recorded according to the position of the passenger transport unit, and determining whether or not a disturbance to the diagnostic information due to the orientation of the information processing terminal is within an allowable range; and diagnosing the ride comfort and abnormality of the passenger transportation device based on the diagnostic information in which the disturbance is determined to be within an allowable range. Diagnostic methods.

13. A program for diagnosing ride comfort and abnormalities of a passenger transportation device that transports passengers, using an information processing terminal, comprising: a step of acquiring magnetic fields measured by a magnetic sensor mounted on the information processing terminal, and acquiring diagnostic information used for diagnosing ride comfort and abnormalities of the passenger transportation device from a diagnostic sensor mounted on the information processing terminal; a step of estimating the orientation of the information processing terminal by comparing the magnetic field measured by the magnetic sensor with a magnetic map in which information on magnetic fields that change depending on the position of the passenger transport unit of the passenger transport device is recorded according to the position of the passenger transport unit, and judging whether or not a disturbance to the diagnostic information due to the orientation of the information processing terminal is within an allowable range; a procedure for diagnosing the ride comfort and abnormality of the passenger transportation device based on the diagnostic information in which the disturbance is determined to be within an allowable range; A program for a computer to execute.

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