Monitoring device
The monitoring device improves maintenance decision-making by using internal and external microphones to filter out environmental noise, ensuring accurate identification of platform door abnormalities.
Patent Information
- Application Number
- JP2021128786
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2021-08-05
- Publication Date
- 2026-01-08
- Estimated Expiration
- 2041-08-05
AI Technical Summary
Existing monitoring systems for platform doors are affected by environmental noise, reducing the accuracy of determining maintenance needs.
A monitoring device that utilizes internal and external microphones to extract operating information from acoustic data, subtracting external noise to improve accuracy and reliability of maintenance decisions.
Enhances the reliability of maintenance decisions by reducing the influence of external noise, allowing for more accurate identification of equipment abnormalities.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present invention relates to a monitoring device that monitors the operating state of equipment that constitutes a platform fence. [Background technology]
[0002] A system for diagnosing the condition of platform doors is known, which acquires vibration information, including the sound of the drive mechanism, when the platform doors are opened and closed by the drive mechanism, and determines whether maintenance is required based on this vibration information (Patent Document 1).
[0003] The vibration information processed by the above system includes information on the operating status of the platform door drive mechanism, but is also easily affected by the environment in which the platform doors are installed, and external noise caused by the environment may reduce the accuracy of determining whether maintenance is required. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] Japanese Patent Application Publication No. 2020-104611 Summary of the Invention
[0005] The present invention has been made in view of the above background, and has an object to provide a monitoring device that suppresses a decrease in determination accuracy due to disturbance noise caused by the installation environment.
[0006] In order to achieve the above-mentioned objective, the monitoring device of the present invention comprises a detection device that detects acoustic information inside and outside the housing of the platform fence main body that separates the station platform from the tracks, and a processing device that extracts operating information regarding the operating status of the equipment that makes up the platform fence main body from the acoustic information and monitors the operating status.
[0007] In the above-mentioned monitoring device, the processing device extracts operational information regarding the operating status of the equipment that makes up the platform fence body from acoustic information inside and outside the housing and monitors the operating status, so that information can be obtained from the acoustic information inside the housing with the influence of acoustic information outside the housing reduced, reducing external noise caused by factors other than the equipment that makes up the platform fence body and improving the accuracy of judgment.
[0008] According to a specific aspect of the present invention, in the monitoring device, the processing device obtains internal cause information attributable to the equipment that constitutes the platform fence main body by removing the influence of acoustic information outside the housing from the acoustic information within the housing. In this case, the internal cause information reduces the influence of acoustic information outside the housing, and the internal cause information more accurately reflects the operating information of the equipment that constitutes the platform fence main body, thereby increasing the reliability of maintenance-related decisions.
[0009] According to another aspect of the present invention, the processing device obtains intrinsic information by subtracting acoustic information outside the housing from acoustic information inside the housing by a predetermined coefficient, thereby enabling extraction of intrinsic information with improved reliability using a simple technique.
[0010] According to another aspect of the present invention, the processing device compares the intrinsic cause information with a standard acoustic pattern of the device. In this case, it becomes easier to identify the occurrence and cause of an abnormality in the intrinsic cause information. Note that the acoustic pattern also includes Fourier transformed data.
[0011] According to yet another aspect of the present invention, the detection device includes an external microphone arranged facing outward from the housing, and an internal microphone arranged within the housing.
[0012] According to yet another aspect of the present invention, the detection device detects a signal from a driving device that drives a platform fence body. sound The driving equipment refers to mechanical mechanisms and electrically driven parts, and deterioration or damage may occur in these parts. sound It can be determined from the aspects of vibration and vibration. [Brief explanation of the drawings]
[0013] [Figure 1] This is a conceptual diagram explaining the platform door device and its monitoring device. [Figure 2] 1(A) to 1(D) are conceptual diagrams illustrating a method for extracting intrinsic information. [Figure 3] FIG. 1 is a block diagram illustrating the configuration of a platform door system. [Figure 4] FIG. 1A is a block diagram illustrating a monitoring device, and FIG. 1B is a block diagram illustrating a monitoring server. [Figure 5] FIG. 10 is a diagram illustrating an example of an operation management database. DETAILED DESCRIPTION OF THE INVENTION
[0014] Hereinafter, an embodiment of a monitoring device according to the present invention will be described with reference to the drawings.
[0015] FIG. 1 is a conceptual diagram illustrating a platform door device and its monitoring device. The platform door device 40 separates the station platform 10 and the space above it from the railway tracks RL and the space above them. The platform door device 40 is also called a movable platform fence and is composed of a predetermined number of platform door elements 41 lined up in a row to cover a predetermined area of the platform 10. Each platform door element 41 consists of a door housing device 41a fixed to the floor of the platform 10 and a door member 41b housed within the door housing device 41a and capable of being freely moved in and out. In the example of FIG. 1, in each platform door element 41, a pair of door members 41b protrude from the end opening of the door housing device 41a, closing the boarding and alighting passageway, thereby forming a series of platform fences that extend along the edge of the platform 10.
[0016] The door housing device 41a has, as its basic elements, a guide mechanism 21, a motor 22, a transmission mechanism 23, and a platform door control device 28 housed within a housing 29. The guide mechanism 21 is composed of mechanical parts including guide rails 21a, rollers, adjustment jigs, etc. (not shown), enabling smooth lateral movement of the door member 41b, i.e., opening and closing of the door member 41b. The motor 22 generates a driving force to move the door member 41b. The transmission mechanism 23 is composed of mechanical parts including belts 23a, pulleys 23b, and couplings (not shown), and transmits the driving force of the motor 22 to the door member 41b. The platform door control device 28 includes a main control board 28a, which is a computer, and controls the operating state of the door member 41b. The platform door control device 28 has a drive circuit (not shown) that provides driving force to the motor while checking the position of the door member 41b. In addition, the platform door control device 28 has the function of communicating with a management control device (see Figure 3) described below, and operates in synchronization with other platform door elements 41 under the management of the management control device.
[0017] The components of the door housing device 41a, namely, the guide mechanism 21, the motor 22, the transmission mechanism 23, the platform door control device 28, and the housing 29, together with the door member 41b, are collectively referred to as the platform fence main body 43. In other words, the guide mechanism 21, the motor 22, the transmission mechanism 23, the platform door control device 28, the door member 41b, etc. are driving devices that make up the platform fence main body 43.
[0018] The door housing device 41a incorporates a monitoring device 30 as an additional element. sound It includes a sensor 31, a vibration sensor 34, a temperature sensor 35, a warning sign monitoring board 37, and the like.
[0019] soundThe sensor 31 is a detection device 30a having multiple microphones 32a, 32b, and 32c and an acoustic processing circuit 33 that operates under the control of an early warning monitoring board 37. The first and second microphones 32a and 32b are disposed within a housing 29 and detect acoustic information within the housing 29. The first and second microphones 32a and 32b are also referred to as internal microphones 32i. Of the internal microphones 32i, the first microphone 32a is disposed near the motor 22 and detects the operating sound of the motor 22, and the second microphone 32b is disposed near the transmission mechanism 23 or the guide mechanism 21 and detects the operating sound of the transmission mechanism 23 or the guide mechanism 21. The third microphone 32c is attached to the upper outside of the housing 29 and detects acoustic information outside the housing 29. The third microphone 32c is also referred to as an external microphone 32o. The acoustic processing circuit 33 associates acoustic information acquired from the multiple microphones 32a, 32b, 32c with the installation locations of the microphones 32a, 32b, 32c and outputs the information to the early warning monitoring board 37. The number and installation locations of the microphones 32a, 32b, 32c are not limited to those shown in the figure and can be changed as appropriate depending on the installation conditions of the platform door elements 41.
[0020] The vibration sensor 34 is a detection device 30a including an acceleration detection element, a drive circuit, etc., and operates under the control of the precursor monitoring board 37. The vibration sensor 34 detects vibration information caused by moving parts such as the door member 41b, the guide mechanism 21, the motor 22, the transmission mechanism 23, etc., and outputs the detected vibration information to the precursor monitoring board 37. Note that the vibration sensor 34 does not need to be disposed in one location within the housing 29, and may, for example, be disposed in multiple locations within the housing 29 and extract local vibration information.
[0021] The temperature sensor 35 is a detection device 30a including a temperature detection element, a drive circuit, etc., and operates under the control of the predictive monitoring board 37. The temperature sensor 35 detects temperature information including temperature increases caused by heat sources such as the motor 22, the platform door control device 28, and the predictive monitoring board 37, and outputs the detected temperature information to the predictive monitoring board 37. Although not shown, the housing 29 incorporates a power supply for operating the motor 22, the platform door control device 28, etc., which also serves as a heat source. Note that the temperature sensor 35 does not need to be located in one place within the housing 29; for example, it may be one in which temperature detection elements are located in multiple places within the housing 29 to extract local temperature information.
[0022] The above is the door housing device 41a. sound Although a specific example in which the sensor 31, the vibration sensor 34, and the temperature sensor 35 are incorporated has been described, various other sensors for extracting physical phenomena can be incorporated into the door housing device 41a.
[0023] The early warning monitoring board 37 is sound The acoustic information acquired by the sensor 31 is transmitted to the superordinate monitoring server 61, either directly or after appropriate processing, along with additional information including the ID information of the platform door element 41. The precursor monitoring board 37 transmits the vibration information and temperature information acquired by the vibration sensor 34 and the temperature sensor 35, either directly or after appropriate processing, along with additional information including the ID information of the platform door element 41, to the superordinate monitoring server 61. The precursor monitoring board 37 may transmit the acoustic information, vibration information, and temperature information to the monitoring server 61 periodically or irregularly. The precursor monitoring board 37 can output the acoustic information, vibration information, and temperature information to the monitoring server 61 only when, for example, a predetermined level is exceeded or when a predetermined precursor state or abnormal state is indicated. Information indicating a precursor state is acoustic information that does not lead to a definite abnormal state but does not occur under normal operating conditions.
[0024] The warning sign monitoring board 37 is communicably connected to the platform door control device 28, and receives information relating to the operating status of the platform door element 41 from the platform door control device 28. The information relating to the operating status of the platform door element 41 includes driving information such as the driving current to the motor 22, the number of rotations, etc. Such driving information is transmitted to the warning sign monitoring board 37. sound It can be used for timing management of acquiring information via the sensor 31, vibration sensor 34, temperature sensor 35, etc. sound It can also be used as an auxiliary device when processing and determining output signals from the sensor 31, the vibration sensor 34, the temperature sensor 35, and the like.
[0025] The monitoring server 61 is a computer used by monitoring staff, and it collectively monitors the operating status of the numerous platform door elements 41, looking for signs and abnormalities. The monitoring server 61 can receive operating data from each platform door element 41 by communicating with the monitoring devices 30 installed in each platform door element 41 via the digital communication system CS. The digital communication system CS communicates with the platform door control devices 28 installed in each platform door element 41, and is a separate system from the existing management system (not shown) that collectively manages the numerous platform door elements 41. This makes it possible to prevent the monitoring devices 30 from interfering with and affecting the operation of the platform door control devices 28.
[0026] A relay device 62 can be interposed between the monitoring server 61 and a large number of platform door elements 41. Furthermore, a HUB 48 can be incorporated into a specific platform door element 41, and a large number of monitoring devices 30 can be communicatively connected to the relay device 62 via the HUB 48. The monitoring server 61 receives output signals related to the operating status of the platform door elements 41 from the monitoring device 30 and can (a) determine whether there is an abnormality or a sign of an abnormality in the platform door elements 41, or (b) perform signal processing and manipulation, including data analysis, on the output signals from the monitoring device 30. In such cases, the monitoring server 61 functions as a monitoring processing device 161 that cooperates with the monitoring device 30 to detect abnormalities or signs of an abnormality in the platform door elements 41, and therefore the monitoring device 30 and the monitoring processing device 161 are collectively referred to as the monitoring device 130.
[0027] Information indicating a predictive state or an abnormal state, for example, includes, for example, acoustic information, abnormal noises generated from various parts of the platform door elements 41. Possible abnormal noise types include, for example, (1) motor noise from the motor 22, when sound quality changes with changes in rotation speed due to scratches on the moving parts of the motor 22, when intermittent, regular noises are generated due to contact with foreign objects, when loud metallic collisions occur, when metal gnawing sounds occur, and when irregular creaking or humming noises occur. Possible abnormal noise types include, for example, (2) belt 23a of the transmission mechanism 23, squealing of the belt 23a, abnormal noises due to deterioration of the belt 23a, and abnormal noises due to a decrease in tension of the belt 23a. Possible abnormal noise types include, for example, (3) pulley 23b of the transmission mechanism 23, when loosening of the pulley 23b or rattling noises due to deformation of the pulley 23b. As a type of abnormal noise, (4) for the guide rail 21a of the guide mechanism 21, rattling noises due to wear of the guide rail 21a or deformation of the guide rail 21a are assumed. As a type of abnormal noise, (5) for the housing 29, abnormal noises due to loosening or removal of cover screws are assumed. As a type of abnormal noise, (6) for the power supply, high-frequency noises also known as coil whine are assumed.
[0028] Before outputting the acoustic information to the monitoring server 61, the sign monitoring board 37 can perform signal processing to remove the influence of acoustic information outside the housing 29 acquired by the third microphone 32c from the acoustic information inside the housing 29 acquired by the first microphone 32a. The sign monitoring board 37 can also perform signal processing to remove the influence of acoustic information outside the housing 29 acquired by the third microphone 32c from the acoustic information inside the housing 29 acquired by the second microphone 32b. In this case, the sign monitoring board 37 acquires internal cause information caused by the equipment constituting the platform fence main body 43, specifically the guide mechanism 21, the motor 22, the transmission mechanism 23, the platform door control device 28, the housing 29, the door member 41b, etc., and provides the internal cause information to the monitoring server 61 as operation data. The internal cause information may be acquired by signal processing in the monitoring server 61, rather than by signal processing in the sign monitoring board 37.
[0029] When the symptom monitoring board 37 performs signal processing on acoustic information, etc., the symptom monitoring board 37 and the monitoring server 61 function as a processing device 99, and when the symptom monitoring board 37 does not perform signal processing on acoustic information, etc., the monitoring server 61 functions alone as the processing device 99. The processing device 99 extracts operating information relating to the operating status of the equipment that makes up the platform fence main body 43 from the acoustic information, etc., and monitors the operating status.
[0030] 2(A) to 2(D) are conceptual diagrams illustrating a method for acquiring endogenous information. FIG. 2(A) shows an acoustic signal acquired inside the housing 29 by the first microphone 32a, and FIG. 2(B) shows an acoustic signal acquired outside the housing 29 by the third microphone 32c. FIG. 2(C) shows the acoustic signal acquired by the third microphone 32c with its positive and negative polarities inverted. FIG. 2(D) shows a signal obtained by adding the acoustic signal shown in FIG. 2(A) and the inverted acoustic signal shown in FIG. 2(C), and the signal strength is nearly zero. FIG. 2(B) shows acoustic information outside the housing 29, such as station announcements, passenger conversations, and the sound of passengers coming into contact with the housing 29. FIG. 2(A) shows acoustic information within the housing 29. This is essentially intrinsic acoustic information resulting from the operation of the guide mechanism 21, motor 22, transmission mechanism 23, platform door control device 28, housing 29, door member 41b, etc. However, when extrinsic acoustic information is large, as shown in FIG. 2(B), the influence of FIG. 2(B) becomes dominant. In such cases, using the acoustic signal shown in FIG. 2(A) as is can result in problems such as an abnormality being determined when something is normal, or an abnormality being determined when something is normal. Therefore, by subtracting the acoustic signal shown in FIG. 2(B) from the acoustic signal shown in FIG. 2(A), i.e., performing differential extraction, false positives can be reduced. When performing differential extraction, the acoustic signal shown in FIG. 2(B) can also be multiplied by a predetermined coefficient and then subtracted from the acoustic signal shown in FIG. 2(A). In other words, intrinsic information can be obtained by differential extraction, which subtracts acoustic information outside the housing 29 from acoustic information inside the housing 29 by a predetermined coefficient. By appropriately setting the coefficients, even if there is a difference between the effect of a sound source from outside the housing 29 on the internal microphone 32i (microphones 32a, 32b) and the effect of a sound source from outside the housing 29 on the external microphone 32o (microphone 32c), the external noise acquired by the external microphone 32o can be offset from the acoustic information acquired by the internal microphone 32i at an appropriate level for each microphone 32a, 32b, and accurate internal information can be obtained.
[0031] Regarding the internal cause information, the monitoring server 61 or the predictive monitoring board 37 performs sound analysis to determine the type and degree of abnormality or predictive events. The monitoring server 61 extracts characteristic waveforms corresponding to abnormalities or predictive events from the signal waveforms corresponding to the internal cause information through sound analysis. For example, regarding the motor sound mentioned above, sound By conducting this analysis, it becomes possible to distinguish between the following cases: (1a) when sound quality changes with changes in rotation speed due to scratches on moving parts, (1b) when intermittent, regular noise occurs due to contact with foreign objects, (1c) when loud metallic collision sounds or metal gnawing sounds occur, and (1d) when irregular creaking or humming sounds occur. sound During analysis, the monitoring server 61 can compare the internal cause information with the standard acoustic pattern of the equipment. The standard acoustic pattern corresponds to the operating sound detected when the equipment is in a normal operating state at the time of shipment. Specifically, when performing sound analysis on the motor sound, for example, the monitoring server 61 subtracts the acoustic signal obtained by the third microphone 32c multiplied by a predetermined coefficient from the acoustic signal obtained by the first microphone 32a, and compares the resulting difference data with the standard acoustic pattern generated when the motor 22 is operating normally. In this way, by comparing the obtained operation data, i.e., the difference data, with the standard acoustic pattern, it is possible to determine the type and degree of abnormality in the internal cause information obtained by the first microphone 32a, etc., and to easily identify the occurrence and cause of the abnormality. When comparing the obtained operation data with the standard acoustic pattern, a fast Fourier transform (FFT) can be used. In this case, filtering the frequency band appropriate for the detection target in the transformed spectral distribution can more accurately identify the type of abnormality or precursor. Deep learning techniques can also be used for the sound analysis of internal cause information.
[0032] FIG. 3 is a block diagram illustrating the configuration of a platform door system 100 including a platform door device 40, a monitoring device 30, etc.
[0033] In addition to the platform door device 40, relay device 62, and monitoring server 61 shown in Figure 1, the platform door system 100 also includes a management control device 3 and multiple operation panels 4. The platform door device 40 includes n platform door elements 41-1, 41-2, ..., 41-n. In the platform door system 100, the monitoring device 30 and relay device 62 belonging to one business establishment P are connected to the monitoring server 61 via communication lines 6, but the monitoring devices 30 and relay devices 62 belonging to two or more business establishments P may also be connected to the monitoring server 61 via communication lines 6.
[0034] The control panel 4 is a device that receives operations from train crew members, station staff, etc. that instruct the platform door device 40 to operate. The control panel 4 operates under the control of the management control device 3. The platform door device 40, the management control device 3, and the control panel 4 are interconnected by, for example, a communication line L1 that enables a daisy chain, and are able to communicate with each other.
[0035] The relay device 62 is connected by wire or wirelessly to n monitoring devices 30 incorporated in n platform door elements 41-1, 41-2, ..., 41-n, and is capable of communicating with them. In the illustrated example, the relay device 62 and the n monitoring devices 30 are connected in a star shape with the relay device 62 at the center by communication line L2. The relay device 62 receives operation data from the monitoring devices 30 and transmits the operation data to the monitoring server 61 via communication line 6.
[0036] The communication line 6 connects the relay device 62 and the monitoring server 61 so that they can communicate with each other. The communication line 6 may be a local area network (LAN), a wide area network (WAN), the Internet, or a combination of these. The communication line 6 may also include a public switched telephone network (PSTN), an integrated services digital network (ISDN), or the like.
[0037] FIG. 4(A) is a block diagram illustrating the configuration of the monitoring device 30. The monitoring device 30 is incorporated into each platform door element 41 and includes a precursor monitoring board 37, which includes a processor 37a, a memory 37b, an interface 37c, and a sensor control unit 37f. These elements are communicatively connected to each other via a bus 37q. The processor 37a is specifically a central processing unit (CPU) that controls each part of the monitoring device 30 by reading and executing programs stored in the memory 37b. The memory 37b is a storage device that stores an operating system, various programs, data, etc., loaded into the processor 37a. The interface 37c communicatively connects the monitoring device 30 to a relay device 62 via a communication line L2. The processor 37a transmits operation data to the relay device 62 or the monitoring server 61 via the interface 37c.
[0038] The sensor control unit 37f is connected to n sensors 36-1, 36-2, 36-3, ... and controls each of the sensors 36-1, 36-2, 36-3, .... Here, the sensor 36-1 is sound The sensor control unit 37f corresponds to the sensor 31, the sensor 36-2 corresponds to the vibration sensor 34, and the sensor 36-3 corresponds to the temperature sensor 35. The sensor control unit 37f may be communicably connected to a device on the platform fence main body 43 side, for example, the main engine control board 28a.
[0039] FIG. 4(B) is a block diagram illustrating the configuration of the monitoring server 61. The monitoring server 61 includes a processor 61a, a memory 61b, and an interface 61c. These elements are communicatively connected to one another via a bus 61q. The processor 61a is specifically a CPU, and reads and executes programs stored in the memory 61b. The memory 61b is a storage device that stores an operating system, various programs, data, and the like that are loaded into the processor 61a. The interface 61c communicatively connects the monitoring server 61 to the relay device 62 via the communication line 6. The processor 61a receives operation data from the relay device 62 or the monitoring device 30 via this interface 61c.
[0040] The memory 61b stores an operation management database 71. The operation management database 71 receives and stores, under the control of the processor 61a, measurement values measured by the sensors 36-1, 36-2, 36-3, ... of the monitoring device 30 and operation data that has been processed based on the measurement values, via the relay device 62, from the monitoring device 30.
[0041] FIG. 5 is a diagram illustrating an example of data stored in the operation management database 71. The operation management database 71 includes an establishment list 71a, a platform door door element list 71b, a sensor list 71c, and an operation data table 71d. The establishment list 71a is a list listing establishments that have installed platform door devices 40 incorporating monitoring devices 30 that transmit operation data to the monitoring server 61, and stores an establishment ID that identifies the establishment. The platform door door element list 71b is provided for each establishment ID recorded in the establishment list 71a. It is a list listing the platform door devices 40 and platform door elements 41 installed at the corresponding establishment, and stores a door element ID that identifies the platform door element 41. The sensor list 71c is provided for each door element ID recorded in the platform door door element list 71b. It is a list listing the sensors 36-1, ... that make up the monitoring device 30 for the corresponding platform door element 41, and stores a sensor ID that identifies the sensor 36-1, ...
[0042] The sensor list 71c stores, in association with a sensor ID, installation information and thresholds for the sensors 36-1, ... corresponding to that sensor ID. The installation information includes information on the installation position and installation state of the sensors 36-1, ..., and their placement relative to surrounding objects such as walls and supports. The thresholds are standards for determining whether operation data measured by the corresponding sensors 36-1, ... is a sign of a failure or an abnormality, and refer to, for example, an upper limit, a lower limit, a determination range, etc.
[0043] The operation data table 71d is provided for each sensor ID listed in the sensor list 71c, and records the operation data (including the original operation data that has been subjected to analysis processing) measured by the sensor 36-1, ... corresponding to that sensor ID, and the measurement time when that operation data was measured. When the operation data indicates a sign of failure or an abnormality, the operation data table 71d records the state type of that sign or abnormality, and also records the degree (level) of that sign or abnormality. Here, the state type of the sign or abnormality is determined by whether the operation data is, for example, sound When the signal is acquired from the first microphone 32a of the sensor 31, it indicates the type of sign of failure or abnormality in the motor 22, such as a change in sound quality accompanying a change in rotation speed, an intermittent regular abnormal sound, a loud metallic collision sound, a gnawing sound between metals, or an irregular creaking sound, and such state identification is possible by waveform analysis, etc.
[0044] In the monitoring devices 30, 130 of the above embodiments, the processing device 99 extracts operational information regarding the operating status of the equipment that constitutes the platform fence main body 43 (guide mechanism 21, motor 22, transmission mechanism 23, platform door control device 28, door member 41b, etc.) from acoustic information inside and outside the housing 29 and monitors the operating status.Therefore, information can be obtained from the acoustic information inside the housing 29 while reducing the influence of acoustic information outside the housing 29, external disturbance noise caused by equipment other than that of the equipment that constitutes the platform fence main body 43 can be reduced, improving judgment accuracy and enabling preventive replacement of maintenance parts.
[0045] The embodiments described above are merely examples, and the present invention is not limited to the above embodiments, but can be modified in various forms without departing from the scope of the technical ideas set forth in the claims.
[0046] For example, the first microphone 32a does not need to be provided on each platform door element 41, but can be replaced by a microphone common to multiple platform door elements 41. In this case, the common first microphone 32a does not need to be attached to the housing 29, but can be installed at an appropriate location on the platform 10. Also, multiple microphones can be installed for the purpose of detecting the operation of a single motor 22, and sound signals from the multiple microphones can be statistically processed.
[0047] The acoustic signals acquired by the microphones 32a to 32c are not limited to sound waves in the audible range and may include sound waves in the inaudible range. Furthermore, the acoustic signals acquired by the microphones 32a to 32c may include vibrations detected as sound waves. In this case, the acoustic processing circuit 33 collects and processes vibration information of the device, and the monitoring server 61 or other processing device 99 extracts information related to the operating status of the device from the vibration information. [Explanation of symbols]
[0048] 3...Management control device, 4...Operation panel, 6...Communication line, 10...Platform, 21...Guide mechanism, 22...Motor, 23...Transmission mechanism, 28...Platform door control device, 28a...Main engine control board, 29...Housing, 30,130...Monitoring device, 30a...Detection device, 31... soundSensor, 32a, 32b, 32c... microphone, 32i... internal microphone, 32o... external microphone, 33... acoustic processing circuit, 34... vibration sensor, 35... temperature sensor, 37... early warning monitoring board, 37a... processor, 37f... sensor control unit, 40... platform door device, 41... platform door element, 41a... door housing device, 41b... door member, 43... platform fence body, 61... monitoring server, 61a... processor, 62... relay device, 71... operation management database, 71c... sensor list, 71d... operation data table, 99... processing device, 100... platform door system, 161... monitoring processing device, CS... digital communication system, L1, L2... communication line
Claims
1. a detection device that detects acoustic information inside and outside a housing of a platform fence main body that separates the station platform from the tracks; a processing device that extracts operation information relating to the operation state of the equipment constituting the platform fence main body from the acoustic information and monitors the operation state; Equipped with the detection device includes an external microphone disposed facing the outside of the housing and an internal microphone disposed within the housing, The processing device acquires internal cause information caused by the equipment constituting the platform fence main body by subtracting, by a predetermined coefficient, the acoustic signal outside the housing acquired by the external microphone from the acoustic signal inside the housing acquired by the internal microphone, and compares the internal cause information with a standard acoustic pattern of the equipment. The processing unit filters a frequency band that matches the detection target when comparing the intrinsic information with the standard acoustic pattern of the device. monitoring equipment.
2. The monitoring device according to claim 1 , wherein the detection device detects sound or vibration from a driving device that drives the platform fence main body.
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