CN112429610A

CN112429610A - Inspection device for mechanical equipment

Info

Publication number: CN112429610A
Application number: CN202010751433.6A
Authority: CN
Inventors: 松本俊昭; 小平法美; 川崎胜; 马场理香; 森下真年
Original assignee: Hitachi Building Systems Co Ltd
Current assignee: Hitachi Building Systems Co Ltd
Priority date: 2019-08-26
Filing date: 2020-07-30
Publication date: 2021-03-02
Anticipated expiration: 2040-07-30
Also published as: CN112429610B; JP2021032714A; JP7105745B2

Abstract

When using a smart device for abnormal inspection of elevators and escalators, it is necessary to directly operate on the smart device to start/end the measurement, so it is difficult to obtain only the originally intended data section. Furthermore, it is difficult to obtain the operating status (eg, car position, start, leveling, acceleration, deceleration, etc.) and measurement data of the elevator and escalator synchronously. In order to solve the above-mentioned problems, a smart device (9), which is an abnormality inspection apparatus of the present invention, is provided with a plurality of sensors (91 to 96) that measure information generated in accordance with the operation of the inspection object, that is, the mechanical device, and the display screen/IF section is provided with a plurality of sensors (91-96). 14 Determine the measurement information corresponding to its installation location, use any one of the plurality of sensors (91 to 96) to detect the start and end of the operation of the mechanical equipment, and measure the measurement information determined from the information measured during the measurement, and Stored in the storage unit (99).

Description

Inspection device for mechanical equipment

Technical Field

The present invention relates to a technique for inspecting a mechanical device that emits sound or generates vibration in association with its operation. Among these, elevators such as elevators and escalators are particularly targeted. The present invention also relates to a device for checking for abnormality during inspection, and to a technique for checking for abnormality using sound and vibration.

Background

As a technical means for inspecting the operation state of a machine constituting a machine such as an elevator, there is known a method of measuring sound, vibration, or the like, and comparing the measured sound, vibration, or the like with past normal data and abnormal data to determine the soundness of each machine. For example, patent document 1 describes a method of measuring sound and vibration data and transmitting the data to a management database to determine an abnormality.

Documents of the prior art

Patent document

Patent document 1: japanese patent laid-open No. 2013-113775

Disclosure of Invention

Technical problem to be solved by the invention

However, although a method of performing measurement using a smart device is proposed in patent document 1, start/end operations of measurement need to be performed by directly operating on the smart device at the time of measurement. Therefore, when measuring a portion that is difficult to access during operation of the elevator, the measurement is performed according to the following procedure. The intelligent device is set before the elevator works and starts to measure, the elevator works after leaving the set position, and the intelligent device is approached again after the elevator stops to finish the measurement.

Such an operation causes useless data in the stopped state of the elevator to be attached to the front and rear of the data range to be acquired, and thus has a problem of an increase in data amount. In particular, when analyzing the examination results, the operating state of the elevator (e.g. car position, starting, leveling, acceleration, deceleration, etc.) is required. In the case where these data are all acquired, the amount of data inevitably increases. Further, there is a problem that the running state of the elevator and the measurement data cannot be confirmed in synchronization.

Therefore, an object of the present invention is to acquire an operation state of an elevator and an escalator when the elevator and the escalator are inspected for an abnormality by an intelligent device, and measure and record an operation state such as a data range and speed information from the start to the end of the operation.

Technical scheme for solving technical problem

In order to solve the above problems, the present invention determines information required and useful for the examination, and collects and records it. For this reason, the following modes are included as specific modes thereof. An aspect of the present invention is an inspection apparatus for a machine that generates sound or vibration in association with operation, including: a plurality of sensors that measure information generated in association with operation of the machinery; a control unit that starts recording of information that can be measured by at least some of the plurality of sensors when it is determined that the machine starts operating based on information measured by a first sensor included in the plurality of sensors, and ends recording of information that can be measured by at least some of the plurality of sensors when the first sensor detects that the machine has ended operating; and a storage unit that stores information according to control by the control unit.

Another aspect of the present invention is an inspection apparatus for a mechanical device that generates sound or vibration in association with work, including: a plurality of sensors that measure information generated in association with operation of the machinery; a control unit that recognizes the installation positions of the plurality of sensors, and determines whether or not to record information that can be measured by the sensors, based on the installation positions; and a storage unit that stores information determined to perform the recording.

The present invention also includes an inspection method performed by an inspection apparatus for a mechanical device, and a computer program for implementing the inspection method.

Effects of the invention

According to the present invention, the amount of data stored for inspection can be reduced, and the cost can be reduced.

Drawings

Fig. 1 is a schematic diagram showing installation positions of smart devices 9 to 13 of embodiment 1 on an elevator.

Fig. 2 is a schematic diagram showing the display screen/IF unit 14 of the smart devices 9 to 13 according to embodiment 1 and the display contents thereof.

Fig. 3 is a diagram showing the sensor information list 2031 used in embodiment 1.

Fig. 4 is a schematic diagram showing a sound determination result screen 25 in example 1.

Fig. 5 is a schematic view showing a vibration determination result screen 33 in example 1.

Fig. 6 is a schematic diagram showing installation positions of the smart devices 51 to 56 of example 2 on an elevator.

Fig. 7 is a diagram showing the sensor information list 2032 used in embodiment 2.

Fig. 8 is a configuration diagram of a system for performing an abnormality check in embodiment 1 and embodiment 2.

Fig. 9 is a flowchart showing an abnormality check including measurement processing in example 1 and example 2.

Fig. 10(a) shows (one of) the display screen/IF unit 14 and the display contents thereof of the smart devices 9 to 13 before measurement in the

embodiments

1 and 2.

Fig. 10B shows the display screen/IF unit 14 and the display contents (second) of the smart devices 9 to 13 before measurement in

embodiments

1 and 2.

Detailed Description

Next, an example 1 in which the present invention is applied to an elevator abnormality inspection and an example 2 in which the present invention is applied to an escalator abnormality inspection will be described with reference to the drawings.

[ example 1]

As described above, embodiment 1 is to perform an abnormality check on an elevator. In FIG. 1, the present inspection can be performed by using the individual smart devices 9 to 13 shown in FIG. 2. That is, the smart devices 9 to 13 are used as abnormality checking means. This check can also be performed using the system shown in fig. 8. In example 1, the processing of the individual smart devices 9 to 13 will be mainly described. The processing performed by the system shown in fig. 8 will be described mainly focusing on the differences from the processing performed by the individual smart devices 9 to 13.

First, fig. 1 is a schematic view showing an installation position where smart devices 9 to 13 are installed on an elevator in order to perform an abnormality check on the elevator in embodiment 1 of the present invention. In a hoistway 1 of a machine room-less elevator as an inspection target, a car 3 and a counterweight 4 are connected by a wire rope 5 via a head sheave 6, a car sheave 8, and a counterweight sheave 7. The wire 5 is fed by the motor 2 to move the car 8 up and down. Fig. 1 shows a smart device 9 provided above the motor 2 (near the motor), a smart device 10 provided above the car 3 (above the car), a smart device 12 provided in the car 3 (in the car), a smart device 11 provided above the counterweight 4 (above the counterweight), and a smart device 13 provided on the floor in the hoistway (hoistway floor) when abnormality detection is performed. The measurement can be performed by changing the installation position of the smart devices 9 to 13 according to the object to be inspected, and the determination can be performed by measuring a plurality of signals such as sound, acceleration, animation, air pressure, magnetism, and the like. An example of setting 5 smart devices is listed in fig. 1, but the number thereof is not limited thereto. Further, a device other than the smart device may be used as long as the function described later can be realized.

Fig. 8 shows the structure of the smart device 9 and the system structure for abnormality detection. Here, the configuration of the smart device 9 will be explained. First, the smart device 8 is provided with various sensors. The sensors include an acceleration sensor 91, an air pressure sensor 92, a magnetic sensor 93, a vibration sensor 94, a camera 95, and a microphone 96. Other sensors such as a speed sensor may be added, or some of them may be omitted.

The system also has a display screen/IF unit 14 for displaying various information and accepting input from a user (examiner). The display screen/IF section 14 may be implemented by a so-called touch panel.

The smart device 9 also has a communication unit 98 connected to a network 100. The system also includes a storage unit 99 for storing various information, and a control unit 97 for performing calculation in accordance with a program or application stored in the storage unit and read out to a RAM (random access memory). These structures are connected via bus bars and the like, respectively.

Other structures shown in fig. 8 will be described later.

Fig. 2 is a schematic view showing a measurement screen used for the abnormality test in example 1 of the present invention. The following areas are set in the measurement picture:

a sound pressure region 15 for displaying sound data by sound pressure,

A frequency region 16 for displaying sound data by frequency,

A vibration region 17 for displaying vibration data by vibration level,

A speed area 18 for displaying the running state of the elevator,

A measurement location area 19 for receiving the designation of the location where the smart devices 11-13 are installed and displaying the location,

A process button 20 for frequency filtering the sound and vibration data,

A moving picture reproduction area 21,

A sound and animation reproduction button 22 and a stop button 23,

The playback area displays and selects the scroll bar 24.

In the sound pressure region 15, the frequency region 16, the vibration region 17, and the speed region 18, measurement data during a period from the start to the end of the elevator operation is displayed based on the horizontal axis time and the car position.

The intelligent devices 11 to 13 are also manually operated to perform various settings and the like.

As shown in FIG. 1, the intelligent devices 11-13 are installed in a hoistway 1. Therefore, since the elevator is operated after the person operates the smart devices 11 to 13 and exits from the hoistway 1, the elevator is set in the measurement start standby state after the smart device setting information is input at the time of measurement. The start and end of measurement are the sections from the start to the end of the elevator operation, which are obtained based on the information of each sensor at each installation position of the abnormality inspection device, and recorded. Meanwhile, the operating state (car position, speed information, etc.) of the elevator is calculated and recorded from the information of each sensor.

Fig. 10(a) shows the display screen/IF unit 14 of the smart devices 9 to 13 before measurement and the display contents thereof. Since the measurement results are reduced as compared with fig. 2, the measurement data region 101 showing the blank space is substituted for the sound pressure region 15, the frequency region 16, the vibration region 17, and the velocity region 18, and the measurement processing in the smart devices 9 to 13 will be described with reference to fig. 9, 10(a), and 10 (B). The measurement processing is performed in the smart devices 9 to 13, but since the processing contents are the same, the smart device 9 will be described as an example.

First, in step S1, the smart device 9 receives specification of information to be measured from the inspector via the display screen/IF unit 14. The display at this time is shown in fig. 10 (a). The smart device 9 accepts designation of a measurement position by an inspector for the measurement position area 19 in the display screen/IF unit 14. Upon receiving the designation, the measurement position is displayed on the measurement position area 19 by the processing of the control unit 97. The designation and display are designated and displayed in accordance with the contents of "hoistway floor", "inside of car", "above of car", "near the motor", and "above the counterweight".

In step S1, after the measurement position area 19 is designated, a position sensor (not shown) may be activated to determine the installation position based on the measurement result. In this case, it is determined which of "hoistway floor", "inside of car", "above of car", "near the motor", and "above of counterweight" is based on the coordinate information measured by the position sensor. The determination is performed using information in which the coordinate information and the installation position are associated with each other. Further, the position sensor may be implemented by a GPS sensor or a gyro sensor.

Next, in step S2, the control section 97 determines the sensor to be used for measurement. This is to determine the sensor corresponding to the set position specified in step S2 using the sensor information list 2031 shown in fig. 3. Specifically, when "hoistway floor" is designated in step S2 (when smart devices are installed on the hoistway floor), the moving images marked with "o" in fig. 3 are determined as the camera 95, the sound microphone 96, and the vibration sensor 94. The information measured by the determined sensors is then recorded. The measurement and recording will be described later using a flowchart. In this example, sound and vibration are "o" at each installation site. Because they are the information necessary for the anomaly checking. Thus, information that is "o" at each installation location may not be recorded in the sensor information list 2031, but may be separately registered as necessary information.

If the sensor is identified in step S2, the inspector can recognize that the identified sensor is appropriate. For this reason, the control unit 97 displays the information shown in fig. 10(B) on the display screen/IF unit 14. That is, through steps S1 to S2, the content of the display screen/IF unit 14 changes from fig. 10(a) to fig. 10 (B).

In this example, the case where the sound is determined as the microphone 96 is shown. Therefore, the control unit 97 displays the virtual measurement data in the sound pressure region 15 and the frequency region 16, which display the sound pressure and the frequency measured by the microphone 96 and are the result thereof. This may be past data or schematically generated data stored in the storage unit 99. Instead of displaying these data, the ranges (blank) of the sound pressure region 15 and the frequency region 16 may be displayed as "sound pressure" and "frequency" explicitly.

Then, in step S3, the control unit 97 determines whether the elevator is operating or not using the acceleration information by the acceleration sensor 91. The determination can be made by whether the acceleration sensor 91 starts measuring acceleration, i.e. whether acceleration indicating the movement of the elevator is in progress.

Since the smart device 13 is installed on the "hoistway floor", even when the acceleration sensor 91 cannot measure the operation of the elevator, the start of the operation can be detected by the microphone 96 and the vibration sensor 94.

If the determination result of step S3 is that no detection has been made (no), the process is repeated until detection is made. If a decision is made that the measurement is made (yes), the routine proceeds to step S4.

Next, in step S4, the control unit 97 measures the information measured by the sensor determined in step S2 and stores the information in the storage unit 99. In this step, the measurement may be performed by using the specified sensor, or information measured by a sensor that is not specified may be stored except for the specified sensor. That is, a method of operating the specified sensor and a method of storing information of the specified sensor may be adopted.

Then, in step S5, the control unit 97 determines whether the elevator has stopped or not by using the acceleration information from the acceleration sensor 91. This can be judged by whether the acceleration sensor 91 finishes measuring the acceleration, i.e., whether the acceleration data indicates a stop.

Since the smart device 13 is installed on the "hoistway floor", when the acceleration sensor 91 cannot detect the stop of the elevator, the stop may be detected by the microphone 96 and the vibration sensor 94. That is, the reverse process of step S3 is executed in this step.

If the determination result of step S5 is that no detection has been made (no), the procedure returns to step S4 to repeat the measurement. If a decision is made that the measurement is made (yes), the routine proceeds to step S6. In this example, the same sensor is used in steps S3 and S5, but different sensors may be used.

Next, in step S6, the control unit 97 generates analysis data for inspection based on the measured information. Which includes feature extraction of the measured information and determination of the work start time. Further, the speed calculation from the animation captured by the camera 95 and the like are included to generate other information based on the measured information.

Here, the determination of the sensors to the measurement and storage of the measured information and the generation of the data for analysis in steps S2 to S7 will be described with reference to the sensor information list 2031 shown in fig. 3. The control unit 97 performs the following recording on the storage unit 99.

When the smart device 13 installed on the ground (hoistway ground) in the hoistway performs measurement, the car is photographed by animation, and the operation start, speed, and operation end point of the elevator are extracted and recorded according to the change in the size of the car on the animation.

In the case of measurement by the intelligent device 9 disposed above the motor 2 (in the vicinity of the motor), the operation start, speed, and operation end point of the elevator are extracted and recorded based on the acceleration generated by the rotation of the motor. In addition, by measuring magnetism generated by rotation of the motor 2, a more accurate operating state can be obtained.

In the case of measurement by the smart device 10 disposed above the car 3 (above the car), the operation start, speed, and operation end point of the elevator are extracted and recorded based on the information of the acceleration and air pressure.

When the measurement is performed by the smart device 12 installed in the car 3 (in the car), the operation start, speed, and operation end point of the elevator are extracted and recorded based on the information of the acceleration and the air pressure.

In the case of measurement with the smart device 11 disposed above the counterweight 4 (near the counterweight), the operation start, speed, and operation end point of the elevator are extracted and recorded based on the information of the acceleration and air pressure.

Then, in step S7, the controller 97 performs data analysis using the analysis data generated in step S6.

For example, the above-mentioned elevator speed, acceleration, and floor information are stored in the storage unit 99 in advance, and the car position is calculated by comparison with the measurement data and the analysis data and displayed on the display screen IF unit 14.

The determination of the abnormality check may be performed in step S7. This determination is realized by comparing characteristic quantities such as the frequency, signal level, and timing of signal generation of the analysis data and the measurement data with values of the database, using normal data or abnormal data stored in advance in the storage unit 99 for the sound and vibration data. The judgment is made based on which of the normal data and the abnormal data is more similar to the comparison result. The configuration may be such that either normal data or abnormal data is used. The processing of step S including the determination is not limited to the above, and for example, the techniques disclosed in japanese patent laid-open No. 2018-48886 may be adopted.

When the determination processing in step S7 is performed, the sound determination result screen 25 on the display screen/IF unit 14 is as shown in fig. 4. The sound determination result screen 25 has a sound spectrum display area 26 in which the horizontal axis represents the car position and the vertical axis represents the sound frequency, and the magnitude of each frequency is displayed by the shade of color. In the spectrum display area 26, abnormality extraction point marks 27, 28, and 29 are displayed in a plurality of areas determined to be abnormal. Further, the system has determination

result display areas

30, 31, 32 for displaying the relationship among the determination, the cause, and the correspondence with the abnormality extraction point mark.

Fig. 5 shows a determination result screen 33 of the vibration on the display screen/IF unit 14. The vibration determination result screen 33 has a vibration spectrum display area 34 in which the horizontal axis represents the car position and the vertical axis represents the vibration frequency, and the magnitude of each frequency is displayed by the shade of color. And on the spectrum display area 34, abnormality extraction point marks 35, 36 are displayed on a plurality of areas extracted as abnormalities. Further, there are determination

result display areas

37 and 38 for displaying the relationship among the determination, the cause, and the correspondence with the abnormality extraction point mark.

In the spectrum display regions of fig. 4 and 5, by selecting and determining an arbitrary region from the regions that have not been extracted as an abnormality, it is possible to display a correspondence relationship with the causes of sound and vibration that are generated in the region that has not been determined as an abnormality.

The above describes the abnormality check performed by the individual smart devices 9 to 13. Next, an example in which the smart devices 9 to 13 and the server apparatus 200 connected to these smart devices via the network 100 perform abnormality check will be described.

Fig. 8 shows the configuration of the server device 200 and the like used in this example. The server apparatus 200 is implemented as a so-called information processing apparatus. That is, the network device includes a storage unit 203 for storing various information, a control unit 201 for performing calculation according to a program stored in the storage unit and read out to a RAM (random access memory), and a communication unit 202 connected to the network 100. There is also an adapter 204 connected to the terminal device 300. These structures are connected via bus bars and the like, respectively.

Next, a process of performing an abnormality check by these apparatuses will be described with reference to fig. 8. The main difference of this treatment compared with the treatment with the above-mentioned monomer is that the main body is different. Therefore, the following description will be focused on differences from the processing performed by the individual smart devices 9 to 13.

First, in steps S1 and S2, the smart devices 9 to 13 receive specification of measurement information and specify sensors, as described above.

In step S3, each of the smart devices 9 to 13 also determines whether or not it is detected that the elevator starts operating. However, if yes in step S3, each of the smart devices 9 to 13 transmits the start of measurement to the server apparatus 200 via the network 100. Thus, the control unit 202 starts the failure check process.

Then, in step S4, the control unit 201 of the server device 200 measures information detected by the sensors of the smart devices 9 to 13 and stores the information in the storage unit 203. The operation of the control unit 201 at this time is the same as that of the control unit 97. In this case, the measured information may be temporarily stored in each storage unit (storage unit 99 or the like) of each of the smart devices 9 to 13 and then transmitted to the server apparatus 200.

Next, in step S5, each smart device 9 to 13 determines whether it has been detected that the elevator has stopped. If not, the process of step S4 including the measurement of each smart device 9 to 13 is repeated. If so, the process proceeds to step S6. In the case of yes, each of the smart devices 9 to 13 also notifies the server apparatus 200 that the measurement is completed.

In step S4, when the smart devices 9 to 13 temporarily store the measured information and the determination is yes in step S5, the stored information is transmitted to the server device 200.

Next, in step S6, the control unit 202 of the server apparatus 200 executes data analysis by the smart device. At this time, the output destination of the data is the display screen of the terminal device 300. In step S7, the control unit 201 of the server device 200 also executes the processing performed by the smart device. The result is also displayed on the display screen of the terminal device 300.

In this example, a smart device is used, but various sensors may be provided at respective installation positions to perform processing. In this case, the designation of acceptance of the measurement information and the like are performed via the terminal device 300, not by the smart device 9. The description of example 1 ends here.

[ example 2]

Next, example 2 for performing an abnormality check on the escalator will be described. The main differences between embodiment 1 and embodiment 2 are the inspection object, the installation location of the smart device used for different inspection objects, and the degree of the sensor information list. In example 2, as in example 1, the processing may be performed by the smart devices (smart devices 51 to 56 in this example) alone or in combination with the server apparatus 200.

Therefore, in example 2, the processing is performed according to the flow shown in fig. 9 using the configuration shown in fig. 8, similarly to example 1. Therefore, the embodiments will be described focusing on the above-described differences, and the description of the configuration and the process flow will be omitted.

Fig. 6 is a schematic view showing the installation states of intelligent devices 51 to 56 that can be used as at least a part of the escalator abnormality detection device according to embodiment 2 of the present invention. The stairs are supported by a truss 39 erected between the upper and lower floors as shown in fig. 6. An escalator drive device 42 and a control panel 43 are provided in the upper truss 41. The operation of the driving device 42 is controlled by a control panel 43, and drives a drive sprocket 45 via a drive chain 44.

A driven sprocket 46 paired with the drive sprocket 45 is provided in the lower truss 40, and a step chain 47 is wound between the drive sprocket 45 and the driven sprocket 46. The step chain 47 is connected to a plurality of steps 48, and the drive sprocket 45 is rotated by the drive device 42, so that the step chain 47 is looped around between the drive sprocket 45 and the driven sprocket 46. The plurality of steps 48 are configured to move cyclically between the upper and lower step openings and the lower step opening along a guide rail, not shown.

Balustrades 49 stand on the left and right sides of the cyclically moving steps 48, and handrail belts 50 are mounted on the outer peripheries of the balustrades 49. The handrail 50 is a handrail for a passenger riding on the steps 48 to hold.

Fig. 6 shows an intelligent device 51 provided in the lower truss, an intelligent device 52 provided in the lower landing entrance, an intelligent device 53 provided in the step 48, an intelligent device 54 provided in the upper landing entrance, an intelligent device 55 provided in the lower truss, and an intelligent device 56 provided above the drive device 42 when abnormality detection is performed. As in embodiment 1, the smart device installation position may be changed according to the object to perform the examination, and a plurality of signals such as sound, acceleration, animation, air pressure, magnetism, and the like may be measured to perform the determination.

When the measurement is performed, the setting is performed in a measurement start standby state after the smart device setting information is input. The start and end of the measurement are to determine the operation state of the escalator based on at least a part of the information of each sensor at each installation position of the abnormality checking device and record the section from the start to the end of the escalator. Meanwhile, the running state (step position, speed information, etc.) of the escalator is calculated and recorded according to the information of each sensor.

A list 2032 of sensor information used at each installation location of the smart devices 51 to 56 is shown in FIG. 7. It has the same structure as the sensor information list 2031 shown in fig. 3 used in embodiment 1, but is disposed at a different position. As in fig. 3, the sound and vibration of "∘" at each installation site may also be omitted from the list. When the steps are measured by the lower truss 40, the upper truss 41, the lower landing entrance, and the upper landing entrance, the intelligent devices 54 detect the movement of the steps using the motion pictures, and measure the vibration generated by the operation of the steps, thereby extracting the operation start, speed, and operation end point of the escalator. In addition, the other smart devices 51 to 53, 55, and 56 may start measurement (or start recording of measurement) in conjunction with the activation of the smart device 54.

The measurement information of the lower truss 40 and the upper truss 41, and the measurement information of the lower landing and the upper landing are the same kind of measurement information. Therefore, as shown in fig. 7, the installation locations may be previously registered as "inside the upper and lower trusses", "at the upper and lower landing entrance", "step", and "near the motor". In this example, the same measurement information is obtained for the same type of "inside the truss" and "landing entrance", but when the same measurement information is also obtained for different types of installation sites, the data amount can be reduced by collectively recording the measurement information in the sensor information list 2032.

When the escalator is installed on the steps 48, the operation start, speed, and operation end point of the escalator are extracted and recorded from the information of the acceleration and air pressure.

In the case of measurement with the intelligent device 56 disposed above the driving means 42, the operation start, speed and operation end point of the elevator are extracted and recorded according to the acceleration generated by the rotation of the driving means. Meanwhile, by measuring magnetism generated by rotation of the driving device, more accurate working state can be obtained.

As described above, the judgment of the abnormality check is performed by using the normal database and the abnormality database for each machine for the sound and vibration data, as in the case of the elevator. That is, the frequency, signal level, timing of signal generation, and other characteristic quantities of the measurement data are compared with the values of the database to determine the frequency, signal level, timing of signal generation, and other characteristic quantities (step S7).

In

embodiments

1 and 2, the abnormality check is performed, but the present invention is not limited thereto. For example, the method can be applied to a sign detection or the like.

As described above, in

embodiments

1 and 2, the elevator and the escalator are used as the inspection objects, but the present invention can be applied to any inspection object as long as it generates sound and vibration in accordance with the operation. For example, automobiles, trains, production facilities, and the like can be cited.

Description of the reference symbols

1, a shaft; 2, a motor; 3, a lift car; 4, balancing weight; 5 a steel cable; 6, a top pulley; 7 a counterweight sheave; 8 a car sheave; 9-13, 51-56 intelligent equipment; 14 a display screen/IF section; 91 an acceleration sensor; 92 air pressure sensor; 93 a magnetic sensor; 94 vibration sensor; 95 camera; a 96 microphone; 97 a control unit; 98 a communication unit; 99 a storage section; 100 a network; 200 server devices; 201 a control unit; 202 a communication unit; 203 a storage part; 204 an adapter; 300 terminal device.

Claims

1. An inspection device of a mechanical device, the mechanical device can emit sound or vibrate along with the operation, and the inspection device of the mechanical device is characterized in that it comprises:

a plurality of sensors that measure information that accompanies the operation of the mechanical device;

a control unit that, when it is determined that the mechanical equipment has started to operate based on information measured by a first sensor included in the plurality of sensors, controls at least a part of the plurality of sensors that can be activated The measured information starts to be recorded, and when it is detected by the first sensor that the mechanical device stops working, the recording of the information that can be measured by at least a part of the sensors in the plurality of sensors is ended; and

A storage unit that stores information under the control of the control unit.

2. The inspection device for mechanical equipment according to claim 1, characterized in that:

The control unit starts recording the information that can be measured by at least some of the plurality of sensors when the sensor starts to operate, and ends the recording when the sensor ends.

3. The inspection device for mechanical equipment according to claim 1 or 2, characterized in that,

The mechanical device is a lift,

The first sensor is an acceleration sensor that measures the acceleration of the elevator.

4. The inspection device for mechanical equipment according to any one of claims 1 to 3, characterized in that:

The plurality of sensors include at least one of a sound sensor that measures sound and a vibration sensor that measures vibration,

The control unit stores information measured by at least one of the sound sensor and the vibration sensor in the storage unit, and uses information measured by at least one of the sound sensor and the vibration sensor to detect Abnormality of the mechanical equipment.

5. The inspection device for mechanical equipment according to any one of claims 1 to 4, characterized in that:

The control unit identifies the installation positions of the plurality of sensors, and determines whether to record the information that can be measured by the sensors according to the installation positions.

6. The inspection device for mechanical equipment according to any one of claims 1 to 5, characterized in that:

The plurality of sensors are provided in one device.

7. An inspection device for mechanical equipment, the mechanical equipment can emit sound or vibrate with operation, and the inspection device for mechanical equipment is characterized by comprising:

a control part, the control part identifies the respective installation positions of the plurality of sensors, and determines whether to record the information that can be measured by the sensors according to the installation positions; and

A storage unit that stores information determined to be recorded.

8. The inspection device for mechanical equipment according to claim 7, characterized in that:

the plurality of sensors are arranged in one device,

The control section uses the position information input to the device as the setting position.

9. The inspection device for mechanical equipment according to claim 7, characterized in that:

The control unit uses the position information measured by GPS as the setting position.

10. The inspection device for mechanical equipment according to any one of claims 7 to 9, characterized in that:

As for the information that the control unit can measure by the sensor corresponding to the installation position, the recording starts when the sensor starts to operate, and the recording ends when the sensor stops operating.

11. The inspection device for mechanical equipment according to any one of claims 7 to 10, characterized in that:

The control unit stores information measured by at least one of the sound sensor and the vibration sensor in the storage unit,

And the abnormality of the said mechanical equipment is detected using the information measured by at least one of the said sound sensor and the said vibration sensor.