JP2013124189A - In-car monitoring device of elevator - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an in-car monitoring device of an elevator capable of correctly detecting stocked articles in a car irrespective of presence/absence of persons, and adequately providing messages according to the result of classification of the stocked articles.SOLUTION: In a stocked article analysis device 4 in the in-car monitoring device of the elevator, a diagnosis unit 41 detects presence/absence of any stocked article based on the image pickup data from a camera included in a sensor 3 installed in a car 1, recognizes the characteristics of the stocked article, and diagnoses the type classification as the analysis of the stocked article. A message selection unit 42 selects and sets the message subjected to the notice corresponding to the type classification of the stocked article diagnosed by the diagnosis unit 41. A message providing unit 6 installed in the car 1 displays the message corresponding to the type classification of the stocked article set by the message selection unit 42 of the stocked article analysis device 4 on a display screen of a display device.

Description

  The present invention relates to a technique for detecting stagnant items such as forgotten items, dropped items, trash, and liquid splashes in an elevator car, and more specifically, suitable for providing an appropriate message according to the result of analyzing the stagnant items. The present invention relates to an elevator car monitoring device.

  Conventionally, a fallen object in an elevator car becomes a cause of a confinement failure due to a door opening / closing failure, and it is difficult to search when it falls into a hoistway. Thus, an elevator car monitoring device has been proposed that has a function for detecting such stagnant things such as lost or forgotten items in the car.

  Known technologies related to an elevator car monitoring device include, for example, an “elevator car monitoring device” (see Patent Document 1), which can determine whether a stay in a car is a passenger or a stationary object, and a small-diameter string. For example, an "elevator safety device" (see Patent Document 2) that can reliably detect a strip-like foreign matter or a tape-like string-like foreign matter before the door closing operation.

JP 2007-230733 A JP 2010-111461 A

  The technology described in Patent Document 1 described above can determine whether a passenger or a stationary object is a stagnant object in a car. However, after a person leaves the car, Since there is no function to properly notify users and administrators that a fallen object has been detected, it is still impossible to take measures against problems such as confinement failures due to door opening / closing problems or falling objects falling into the hoistway. There are difficulties.

  Moreover, although the technique of patent document 2 can detect and notify the string-like foreign material which crosses a door opening / closing part before the door closing operation, since there is no function to detect the stay in a car, it is quoted. As in the case of Document 1, there is a problem that it is impossible to take measures against problems such as a confinement failure due to a door opening / closing failure or falling objects falling to the hoistway.

  The present invention has been made to solve such problems, and the technical problem is that the accumulated matter in the car can be accurately detected regardless of the presence or absence of a person, and the accumulated matter is analyzed. It is an object of the present invention to provide an elevator car monitoring device capable of providing an appropriate message according to the situation.

  In order to solve the above technical problem, the first means of the present invention is to detect the stay in the car from the image pickup means provided in the elevator car and the image data taken by the image pickup means. In the elevator car monitoring device equipped with the retained matter analysis processing means for performing analysis processing, the retained matter analysis processing means detects the presence or absence of the retained matter based on the imaging data by the analysis process, and the characteristics of the retained matter. A diagnostic means for recognizing and diagnosing the classification, and a message selection means for selecting and setting a message for notification corresponding to the classification classification of the accumulated matter diagnosed by the diagnostic means, To do.

  According to a second means of the present invention, in the first means, the car is provided with a message providing means for providing a message corresponding to the type classification of the retained matter selected and set by the message selecting means, The message selection means selects a message corresponding to the classification obtained by diagnosing the staying substance based on the shape of the staying object by the diagnosis means, and transmits the message to the message providing means.

  According to a third means of the present invention, in the second means, the message providing means includes a display means for displaying a message, and the diagnostic means displays an image of the imaging data including the detected stay for a certain period. A list is transmitted to the display means via the message selection means, and used for browsing display on the display means.

  According to a fourth means of the present invention, in any one of the first means to the third means, when the diagnosis means detects a stagnant substance, the multi-storey in the elevator hoistway of the car via the message selection means. Information included in elevator operation data obtained from elevator control means that performs operation control including lifting and stopping operations between floors, according to the floor information that the user got into the car The type classification of the staying thing with high occurrence frequency is extracted and transmitted to the message selection means, and the message selection means selects the message corresponding to the type classification of the staying thing with high occurrence frequency.

  According to a fifth means of the present invention, in any one of the first means to the fourth means, there is provided a car door control means for controlling a door opening / closing operation of the car, and the diagnostic means detects a stagnant matter. Then, a command signal for extending the door opening time of the car is sent to the car door control means, and the car door control means performs control to extend the door opening time of the car according to the command signal. To do.

  According to the elevator car monitoring apparatus of the present invention, the stay material analysis processing means for detecting and analyzing the stay material in the car from the image data captured by the image pick-up means in the car, Recognize the characteristics and diagnose the classification such as lost, forgotten, garbage, liquid splashes, etc., and select and set the message for notification corresponding to the classified classification of the accumulated By transmitting a message suitable for classification into the car or to a remote location, the owner of the lost or forgotten item or the elevator manager will be aware of it, or it will happen that the stagnant will fall into the door gap or hoistway. Therefore, it is possible to take appropriate measures to prevent this.

It is the schematic block diagram which showed the basic composition of the elevator car monitoring apparatus which concerns on Example 1 of this invention. It is the flowchart which showed the whole operation | movement process which concerns on the stagnant substance analysis processing apparatus used as the principal part in the elevator car monitoring apparatus shown in FIG. It is the flowchart which showed the accumulated matter detection process which concerns on the accumulated matter analysis processing apparatus demonstrated in FIG. It is the flowchart which showed the accumulated matter classification process which concerns on the accumulated matter analysis processing apparatus demonstrated in FIG. The example which showed the message display screen of the image | video containing the fallen thing when a stay thing is classified as a fallen thing as an example of the result of the stay thing analysis process by the stay thing analysis processing apparatus of the elevator monitoring apparatus of an elevator shown in FIG. FIG. As another example of the stay analysis processing by the stay analysis processing apparatus of the elevator car monitoring device shown in FIG. 1, a message display screen of a video including forgetting when the stay is classified as forgotten is shown. FIG. As another example of the result of the residue analysis processing by the residue analysis processing device of the elevator car monitoring device shown in FIG. 1, a message display of a video including the long-term residue when the stay is classified as a long-term residue It is the figure which showed the screen. FIG. 6 is a diagram illustrating a lost article bulletin board display screen in which images of imaging data including a lost article are listed for a certain period as a display function when the stay described in FIG. 5 is an lost article. FIG. 9 is a diagram exemplifying a lost article search screen in which a lost item bulletin board display screen described with reference to FIG. 8 can be searched by specifying a lost item time and item.

  Hereinafter, an elevator car diagnostic apparatus according to the present invention will be described in detail with reference to the accompanying drawings.

  FIG. 1 is a schematic block diagram showing a basic configuration of an elevator car monitoring apparatus according to Embodiment 1 of the present invention. This elevator car monitoring device is installed in the elevator car 1 that is suspended by the rope 2 and moves up and down between the multiple floors of the hoistway installed in the building, and the elevator car 1 From the sensor 3 that monitors the inside of the car 1 by video / audio and obtains sensing data, and the image data that is installed at a remote location outside the car 1 and is imaged by a camera that is an imaging means included in the sensor 3 A stagnant analysis processing apparatus 4 having a computer function for detecting and analyzing a stagnant in the car 1, and a set up by analysis processing in the stagnant analysis processing apparatus 4 while being installed in the car 1. A message providing unit 6 that receives a message suitable for the classification of the accumulated matter and provides it to the user, a car call by the operation unit in the car 1, and a multi-floor platform (hall) operation An elevator control device 5 that performs operation control including raising and lowering operations and stopping operations between multiple floors in the hoistway of the car 1 based on elevator operation data including call direction data set and operated by a landing call by a section; , And is configured.

  Among these, the sensor 3 picks up sound in the car 1 for acquiring voice data and picks up sound in the car 1 for picking up sound data, in addition to a camera that captures the inside of the car 1 for video data acquisition and obtains shooting data. It is configured to include an odor sensor or the like to detect, and captures sensing data from the car 1. That is, the sensing data includes video data and audio data acquired in synchronization with the date / time data.

  The staying substance analysis processing device 4 is configured by mounting a personal computer (PC), various microcomputer devices, and the like, and performs analysis processing after taking in and storing sensing data from the sensor 3. Specifically, the stagnant analysis processing device 4 detects the presence or absence of stagnant based on the imaging data by the analysis process, recognizes the characteristics of the stagnant, and classifies the classification such as lost article, forgotten thing, garbage, and liquid scattering. A diagnosis unit 41 that performs diagnosis, and a message selection unit 42 that selects and sets a message to be used for notification corresponding to the classification of the staying matter diagnosed by the diagnosis unit 41 are provided.

  The message providing unit 6 includes a display device for displaying a message of video data including characters transmitted from the message selection unit 42, and includes a speaker that utters audio data. The elevator control device 5 manages elevator operation data such as floors (floors) on which the user has entered the car 1. Incidentally, the elevator operation data includes boarding / exiting floor number data and driving direction data in addition to the above-described calling direction data.

  In addition, the message selection unit 42 in the retained matter analysis processing apparatus 4 selects a message corresponding to the classification obtained by diagnosing the retained matter based on the shape of the retained matter by the diagnosis unit 41, and sends it to the message providing unit 6. introduce. In addition, the diagnosis unit 41 makes a list of images of the imaging data including the detected staying material for a certain period and transmits them to the display device of the message providing unit 6 via the message selection unit 42, and on the display screen of the display device. Used for browsing display.

  Further, when the diagnosis unit 41 detects a stay, the diagnosis unit 41 is information included in the elevator operation data obtained by collecting from the elevator control device 5 via the message selection unit 42, and the user has entered the car 1. In accordance with the floor information (entrance / exit floor number data), the type classification of the staying thing with high occurrence frequency is extracted and transmitted to the message selection unit 42. As a result, the message selection unit 42 selects a message corresponding to the type classification of the stay that has a high occurrence frequency and transmits it to the message providing unit 6.

  In addition, when detecting the stagnant matter, the diagnosis unit 41 sends a command signal for extending the door opening time of the car 1 to a car door control unit (not shown) that controls the door opening / closing operation of the car 1. Accordingly, the car door control unit performs control to extend the door opening time of the car 1 according to the command signal.

  FIG. 2 is a flowchart showing an overall operation process related to the above-described staying substance analysis processing apparatus 4. In the operation process of the staying material analysis processing device 4, first, the diagnosis unit 41 takes in the sensing data acquired from the car 1 with a camera, a microphone or the like, and the elevator operation data from the elevator control device 5 through the message selection unit 42 (step) 201) After performing the process, a process for confirming the detection / disappearance of the staying object from the imaged data of the camera is performed by the staying object detection process (described in detail later) (step 202).

  In this stagnant detection process, it is necessary to check whether there is any new stagnant and whether or not the detected stagnant has disappeared. (Step 203). If a new stay is detected as a result of this determination, the stay classification process (described in detail later) recognizes the characteristics (shape, etc.) of the stay and classifies the result. Is transmitted to the message selection unit 42, and after the message selection unit 42 performs a process of selecting a provided message corresponding to the classification (step 204), the selected message is transmitted to the message providing unit 6 to be provided (step). 205) Capture the first sensing data and elevator operation data after the processing (step 201), and return before the processing to repeat the subsequent processing.

  On the other hand, as a result of determining whether or not a new stay has been detected (step 203), if no new stay has been detected, whether or not the stay that has been detected by the diagnostic unit 41 has subsequently disappeared. (Step 206). As a result of this determination, if the detected staying material has not disappeared, the first sensing data and the elevator operation data are fetched (step 201), and the subsequent processing is repeated. If the message disappears, the display message corresponding to the staying material is deleted (step 207), and then it is determined whether all the staying material has disappeared (step 208). As a result of this determination, if all the stagnant material has disappeared, the operation process is terminated. If all the stagnant material has not disappeared, the first sensing data and elevator operation data are fetched (step 201). Return to the previous and repeat the subsequent processing.

  FIG. 3 is a flowchart showing the stagnant detection process according to the stagnant analysis processing apparatus 4 described above. The stay detection processing according to the stay analysis processing apparatus 4 is an image recognition technique in which the diagnosis unit 41 recognizes whether or not there is stay in the imaging data from the camera. Is to be detected. Incidentally, the detection of the stagnant by the background subtraction method disclosed in Patent Document 2 can be applied.

  In the stagnant detection process (motion vector detection method) by the diagnosis unit 41, first, imaging data captured from a camera is targeted, a motion vector is calculated using a gradient method or the like, and then a clustering method such as a shortest distance method is used. After detecting the motion vector group for extracting the motion vector group (step 301), whether the size and the moving direction (speed) and the number of the extracted motion vector group are within a preset range. A determination (step 302) is made. As a result of the determination, if the speed and number of motion vector groups are not within the preset range, the process returns to the process before detecting the first motion vector group (step 301) and the subsequent processes are repeated. If it is within the range, it is determined that the object is a stagnant object (for example, a fallen object in this case), the time until the motion vector group disappears, and the disappearance time / position confirmation for detecting the disappeared position (step 303). After the above process is performed, it is determined whether or not the detected time / position is within a preset range (step 304).

  As a result of the determination, if the disappearance time / position of the motion vector group is not within the preset range, the process returns to the process before the first motion vector group detection (step 301) and the subsequent processes are repeated. If it is within the set range, it is determined that the object is a staying object (for example, a fallen object in this case), and the region where the motion vector group disappears is stored as an image (image) of the staying object, and then the process ends.

  FIG. 4 is a flowchart showing the stagnant classification process according to the stagnant analysis apparatus 4 described above. In the stagnant classification process according to the stagnant analysis processing device 4, first, the diagnosis unit 41 refers to the elevator operation data acquired from the elevator control device 5 via the message selection unit 42, and the boarding / exiting floor, door opening / closing, load sensor It is determined whether or not the user has got on and off from the various data (step 401). As a result of this determination, if the boarding / alighting has not occurred, the process is terminated. If the boarding / alighting has occurred, the recognition area of the staying substance extracted based on the sensing data from the sensor 3 (image data taken by the camera). It is determined whether or not the difference video (difference image) or the size indicated by the area of the motion vector group is equal to or larger than a preset threshold (step 402).

  If the result of this determination is that the size is not greater than or equal to the threshold value (if it is less than the threshold value), it is determined that the stay is dropped / trash (step 404) and the corresponding message is transmitted to the message selection unit 42 before processing. However, if the size is equal to or greater than the threshold value, it is subsequently determined whether or not the retention time of the retained matter is equal to or greater than a preset threshold value (step 403). Incidentally, when it is determined that the staying object is dropped / garbage (step 404), the message selection unit 42 sets a message corresponding to the dropped object / garbage and displays it on the display screen of the display device of the message providing unit 6.

  As a result of determining whether or not the staying time of the staying material is greater than or equal to a preset threshold value (step 403), if the staying time is not greater than or equal to the threshold value (less than the threshold value), the staying matter is determined to be forgotten (step 405). The process is terminated after the corresponding message is transmitted to the message selection unit 42, but if it is equal to or greater than the threshold value, it is determined that the accumulated matter is dirty such as liquid spillage or dangerous substance (long-term residue such as liquid splash) ( In step 406), the corresponding message is transmitted to the message selection unit 42, and the process is terminated. Incidentally, the message selection unit 42 sets a message corresponding to the forgotten thing and displays it on the display screen of the display unit of the message providing unit 6 when the staying thing is determined to be the forgotten thing (step 405). When it is determined as a dangerous substance (step 406), a message corresponding to the long-term residue is set and displayed on the display screen of the display device of the message providing unit 6.

  In the following, the accumulated matter analysis processing device 4 of the elevator car monitoring device according to the first embodiment is applied to an elevator for carrying goods in a factory, and a worker uses a cart to store parts on the second floor (2F). Assuming an example in which an assembly part such as a bolt falls from the carriage into the car 1 when the part is transported to the assembly floor on the first floor (1F). In such a case, in the accumulated matter analysis processing device 4, the imaging data (video data) of the camera included in the sensing data of the sensor 3 is taken into the diagnosis unit 41, and the accumulated matter detection process (background difference) described with reference to FIG. The accumulated object is recognized by an image recognition method such as a method or a motion vector detection. In particular, if an image recognition technique for motion vector detection is applied, an appropriate message can be provided to the message providing unit 6 before the owner of the lost item leaves the car 1, so It is possible to prevent the staying material from being left in advance. In addition, at the estimated time when the part has fallen to the floor of the car 1, since the voice data is taken into the diagnosis unit 41 from the microphone of the sensor 3, if the diagnosis unit 41 recognizes the falling sound and uses it to recognize the staying object. Detection accuracy can be improved. Furthermore, if the sensor 3 includes an odor sensor and the odor data of the sensing data is taken into the diagnostic unit 41 and the odor is recognized, it is possible to detect a stagnant substance such as a liquid with odor. In any case, when a stagnant is detected, the recognition unit 41 drops the stagnant by the stagnant classification process described with reference to FIG. The messages corresponding to them are selected and set by the message selection unit 42 and provided to the message providing unit 6.

  FIG. 5 is a diagram exemplifying a message display screen of an image including a lost article when the accumulated substance is classified as a lost article as an example of the result of the accumulated substance analysis process according to the above-described stayed substance analysis processing apparatus 4. Referring to FIG. 5, in the message display screen here, the detected image 502 based on the image data taken by the camera of the sensor 3 is a screw, and the provided message 501 adds “year / month / day / time”. The case is shown. As an example in which the diagnosis unit 41 extracts the classification of the accumulated matter having a high occurrence frequency in accordance with the floor information that has entered the car 1 of the user and transmits it to the message selection unit 42, for example, the parts storage floor on the second floor When the user gets in, the second floor may be registered as a specific floor, and a high-frequency screw may be registered as a message in advance and provided for display. The provided message 501 may be sounded as a sound from the speaker of the message providing unit 6 or may be notified to the elevator user by a buzzer or a flashing light. In addition, as a method for providing a message, the user may be made aware of the presence of a stay by extending the opening time of the door. In this case, when the diagnosis unit 41 detects a stay, a command signal for extending the door opening time of the car 1 is sent to the car door control unit that schematically controls the door opening and closing operation of the car 1. The car door control unit performs control to extend the door opening time of the car 1 according to the command signal.

  FIG. 6 is a diagram exemplifying a message display screen of an image including a forgotten thing when the staying thing is classified as a forgotten thing as another example of the result of the same staying thing analysis process. Referring to FIG. 6, in the message display screen here, the detection image 602 based on the image data taken by the camera of the sensor 3 is a plastic bag, and the provision message 601 indicates the date and time. ] Is shown. Here again, the provided message 601 is sounded as a sound from the speaker of the message providing unit 6, the elevator user is notified by a buzzer or a flash of lighting, or other message providing methods such as a door You may make it inform a user of the presence of a stay by extending opening time.

  FIG. 7 is a diagram exemplifying a message display screen of an image including a long-term residue when the retained material is classified as a long-term residue as another example of the result of the similar residue analysis process. Referring to FIG. 7, the message display screen here is a “long-term residue” in which the detection image 702 based on the image data taken by the camera of the sensor 3 is soiled with liquid, and the provision message 701 indicates the date and time. ] Is shown. Here again, the provision message 701 is generated as a sound from the speaker of the message provision unit 6, and the elevator user is informed by a buzzer, a flash of lighting, or other message provision methods. You may make it inform a user of the presence of a stay by extending opening time. Incidentally, in the accumulated matter analysis processing device 4, the diagnosis unit 41 detects a case in which the accumulated time of the accumulated material exceeds a certain value, and displays a detection image 702 and a provided message 701 related to the long-term residue in the terminal ( To a monitoring terminal, a personal computer, a mobile terminal such as a mobile phone), and can be displayed on the display screen of the terminal.

  By the way, the detection images 502, 602, and 702 and the provided messages 501, 601, and 701 displayed on the message display screens related to the various stays described above are diagnosed by the diagnosis unit 41 based on the shape of the stay. Since the message selection unit 42 selects and sets the message corresponding to the obtained classification and transmits it to the message providing unit 6, especially when the stay is not recovered as a lost item or a forgotten item, the detected lost item is detected. It is also possible to list images of imaged data including forgotten items for a certain period and transmit them to the display device of the message providing unit 6 via the message selection unit 42 for browsing display on the display screen.

  FIG. 8 is a diagram exemplifying a lost article bulletin board display screen in which images of imaging data including a lost article are listed for a certain period as a display function when the staying thing is an lost article. Referring to FIG. 8, on this lost article bulletin board display screen, a screen item name 801 is displayed as a lost bulletin board title and a message “November lost article (contact until XX)” for a certain period (one month's worth). Applicable fallen objects including the fallen objects in November, including the screw of the detection image 502 based on the image data taken by the camera of the sensor 3, the plastic bag of the detection image 602, etc. All the images with the date and time added together are displayed as a list, and the lost items of November are listed and displayed as a list on the display screen. In this way, if the lost article (lost article) detected in one month is displayed as a lost bulletin board list and the images of the lost articles are displayed as a list, it can be easily found when the user makes an inquiry to the administrator. Can do. Of course, forgotten items as well as lost items can be displayed instead of the bulletin board. Incidentally, the display contents of such a list of staying objects can be changed depending on the detection date and time, the characteristics such as the size, color, and shape of the detected object, the elevator equipment conditions of the target building, and the like.

  FIG. 9 is a diagram exemplifying a lost item search screen that allows searching by specifying the time and item of a lost item as a search function for the lost item bulletin board display screen described in FIG. Referring to FIG. 9, in this lost item search screen, the screen item name 901 is set as the lost item search screen, and the specific lost object image data including the plastic bag or the like of the detected image 602 is displayed as specific staying object video data. When displaying each image with the date and time, a search keyword input unit 902 and a search instruction unit 903 are provided in the lost item search screen, and the time and item of the lost item in the search keyword input unit 902 are, for example, “ The figure shows a state in which a bag in a lost article for November can be specified and searched by specifying “November bag” and instructing and executing “search” in the search instruction unit 903. The search keyword input to the search keyword input unit 902 may be characteristics such as the detection date and time, the target building, the color / shape / size of the lost article, etc., and is accumulated by instructing “search” by the search instruction unit 903. You can search the screen of lost items.

  The message display screens shown in FIGS. 5 to 7, the lost article bulletin board display screen shown in FIG. 8, and the lost article search screen shown in FIG. 9 are managed by an elevator via a communication line of a network such as the Internet. Can be transmitted to a person's terminal (a mobile terminal such as a monitoring terminal, a personal computer, or a mobile phone) and displayed on the display screen of the terminal. Moreover, if the captured data (images) before and after disappearance of the accumulated matter in the car 1 are accumulated and displayed, the user who has collected (removed) the accumulated matter can be recognized. If it is a dangerous object, it can be applied to a purpose such as giving a reward as a finder or a person who has worked.

DESCRIPTION OF SYMBOLS 1 Passenger car 2 Rope 3 Sensor 4 Stagnant analysis processing apparatus 5 Elevator control apparatus 6 Message provision part 41 Diagnosis part 42 Message selection part 501, 601, 701 Provision message 502, 602, 702 Detection image 801, 901 Screen item name 902 Search Keyword input part 903 Search instruction part

Claims (5)

An elevator comprising: an imaging unit provided in an elevator car; and a stay analysis processing unit that detects and analyzes a stay in the car from image data captured by the image pickup unit. In the in-car monitoring device,
The stagnant analysis processing means detects the presence or absence of the stagnant based on the imaging data by the analysis processing, and recognizes the characteristics of the stagnant to perform classification classification diagnosis, and the diagnosis means diagnoses An elevator car monitoring apparatus comprising: a message selection unit that selects and sets a message to be notified in correspondence with the classification of the accumulated matter.   2. The elevator car monitoring apparatus according to claim 1, wherein a message providing means for providing a message corresponding to the classification of the staying material selected and set by the message selecting means is provided in the car. The message selection means selects a message corresponding to the classification obtained by diagnosing the staying matter based on the shape of the staying matter by the diagnosis means, and transmits the message to the message providing means. Elevator car monitoring device.   3. The elevator car monitoring apparatus according to claim 2, wherein the message providing means includes display means for displaying the message, and the diagnostic means displays an image of the imaging data including the detected staying matter. An elevator car monitoring apparatus characterized in that a list for a certain period is transmitted to the display means via the message selection means and used for browsing display on the display means.   The elevator in-car monitoring device according to any one of claims 1 to 3, wherein when the diagnosis unit detects the stay, the inter-multi-floor space in the hoistway of the car via the message selection unit. This information is included in the elevator operation data obtained from the elevator control means that performs operation control including lifting and stopping operations at the vehicle, and is generated according to the floor information that the user has entered the car The type classification of the high-frequency staying material is extracted and transmitted to the message selection unit, and the message selection unit selects a message corresponding to the type classification of the high-frequency staying material. In-car monitoring device.   The elevator car monitoring apparatus according to any one of claims 1 to 4, further comprising car door control means for controlling a door opening / closing operation of the car, wherein the diagnosis means detects the accumulated matter, A command signal for extending the door opening time of the car is sent to the car door control means, and the car door control means performs control for extending the door opening time of the car according to the command signal. Elevator car monitoring device.