JP2009035375A - Abnormality monitoring device in elevator car - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an abnormality monitoring device in an elevator car capable of monitoring any abnormality without being affected by the light such as sunshine even when a window glass is provided in a door of an elevator. <P>SOLUTION: The abnormality monitoring device comprises an illumination turn-on determination area provided in an upper end area of a camera image, a door opening/closing state determination area provided in a vicinity of a closed end of a door upper part, a passenger detection area provided on a lower area from a vicinity of a closed end of a door lower part, illumination determination means SB06, SB07 for determining turn-on/turn-off of the illumination by comparing the brightness of a basic image with the brightness of the illumination turn-on determination area in a present image picked up by a camera, a door opening/closing determination means SB02 for determining the opening/closing of a door 7 by comparing the brightness of the basic image with the brightness of the door opening/closing state determination area in the present image, and passenger detection means SB13-SB16, SB19 for detecting presence/absence of any passenger by comparing the brightness of the basic image with the brightness of the passenger detection area in the present image. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an abnormality monitoring apparatus in an elevator car suitable for detecting an abnormal state such as ambush in an elevator car or falling down due to a sudden illness.

As a conventional technology of this type, an image taken by a camera inside the elevator car is used to detect the presence or absence of passengers from the image of the car floor, and the most of the movable parts of the car door that are not affected by passengers in the image. The car in the image is detected when the opening and closing of the car door is detected from the upper image and both the passenger and door closing are detected for a certain period of time or when the door closing of the car door is detected. When it is detected from the image of the uppermost side wall that is not affected by the passengers that the lighting in the car is extinguished, there is a proposal for reporting to a predetermined reporting destination as a power outage confinement (Patent Document 1). reference).
Japanese Patent No. 3698584 (Claim 1, Claim 2, Paragraph Nos. [0008], [0009], and FIG. 1)

  The above-mentioned prior art uses the basic image as an image when the elevator lights are closed and the car lights are on and there are no passengers in the car. Compared with the images, the presence or absence of passengers is detected, but when window glass is provided on the elevator doors, the morning sun and the western sun are seen through the window glass in the car. There are no passengers in the car when comparing the basic image and the image taken with the camera, because there is a possibility that the sunlight will be inserted into the car due to changes in the angle of sunlight in summer and winter, etc. Nevertheless, there was a risk of erroneous detection that there was a passenger.

  In addition, the initial setting work for setting the camera image to be compared with the basic image is troublesome because a personal computer or monitor device is connected to the image output terminal of the camera and settings are made while watching the projected image. there were.

  In addition, there is a problem that the device cannot be operated correctly if the elevator user performs mischief such as changing the shooting direction or spraying the camera.

  A first object of the present invention is an abnormality monitoring device in an elevator car that can monitor an abnormality without being affected by light such as sunlight even in an elevator in which a window glass is provided on a door. It is to provide.

  A second object of the present invention is to provide an abnormality monitoring device in an elevator car that allows easy installation and initial setting of the device.

  A third object of the present invention is to provide an abnormality monitoring device in an elevator car that can quickly respond to camera mischief.

  In order to achieve the first object, according to the first aspect of the present invention, an image of an elevator car is photographed, and a camera provided at an upper position facing the elevator door and the camera. In an abnormality monitoring device in an elevator car that detects an unoccupied image as a basic image and detects the presence or absence of passengers by comparing the basic image with a captured image of the camera, from the upper end of the captured image of the camera A predetermined area in the vicinity of the closed end of the upper part of the door in the captured image of the camera, and determining whether the door is open or closed. A region for detecting the presence or absence of a passenger by forming a door open / closed state determination region that is a region for performing the above and a region below the closed end portion of the lower part of the door in the captured image of the camera A passenger detection area, the lighting detection in the lighting lighting determination area, and the passenger detection area of the image captured by the camera when the door opening / closing status determination area determines door closing. And detecting the presence or absence of passengers.

  Further, the invention according to claim 2 is the invention according to claim 1, wherein the luminance of the pixel of the basic image is compared with the luminance of the pixel located in the illumination lighting determination region in the image photographed by the camera. Illumination determination means for determining whether the illumination is turned off at a ratio with a difference, the luminance of the pixel of the basic image, and the luminance of the pixel located in the door opening / closing status determination area in the image captured by the camera, The door opening / closing determination means for determining opening / closing of the door at a ratio with a luminance difference, comparing the luminance of the pixel of the basic image with the luminance of the pixel located in the passenger detection area in the image captured by the camera, Passenger detection means for detecting the presence or absence of the passenger at a ratio with a difference is provided.

  The invention according to claim 3 is the invention according to claim 1 or 2, wherein the illumination lighting determination region, the door opening / closing state determination region, and the passenger detection region form independent regions, respectively, The passenger detection area is characterized by comprising an area exceeding the area of the floor of the car.

  Moreover, in the invention which concerns on Claim 4, in the invention which concerns on any one of Claims 1-3, the lower end of the said door opening-and-closing condition determination area | region is the upper end of the said door, and the upper end of the window glass provided in the said door The upper end of the passenger detection area is located between the lower end of the door and the lower end of the window glass provided on the door.

  The inventions according to the first to fourth aspects divide the area for comparing the basic image and the image by the camera into three areas of an illumination lighting determination area, a door open / close state determination area, and a passenger detection area, and By removing this area from the window glass area on the door, it is possible to perform door open / close judgment and monitor abnormalities by detecting passengers without being affected by sunlight or other light from the window glass. Can be secured.

  In order to achieve the second object, according to a fifth aspect of the present invention, in the invention according to the second aspect, the photographed image of the camera in which the illumination determining means first detects lighting. A basic image setting means for comparing the luminance of the pixel of the captured image of the camera with the luminance of the pixel of the temporary basic image and setting the basic image when the ratio of the difference in luminance is equal to or less than a predetermined value. It is characterized by having prepared.

  The invention according to claim 6 is the invention according to any one of claims 1 to 5, wherein the upper and lower ends of a pixel in which a difference occurs when the pixel of the basic image and the pixel of the photographed image of the camera are compared. Door closing position detecting means for detecting the position as a door upper closed position and a door lower closed position, and the door opening / closing status from the basic image based on the door upper closed position and the door lower closed position. A determination area and area setting means for setting a target pixel of the passenger detection area are provided.

  These inventions according to claims 5 and 6 automatically set a basic image and set an image comparison area with a basic image composed of a lighting lighting determination area, a door open / close state determination area, and a passenger detection area. Therefore, it is possible to easily perform the initial setting work without making a mistake.

  In order to achieve the third object, an invention according to claim 7 of the present invention is the invention according to claim 2, wherein a monitoring center for remotely monitoring an abnormality of an elevator via a communication line; A camera shooting direction determination unit that determines that a change has occurred in the shooting direction of the camera when the determination of lighting by the lighting determination unit and the determination of door opening by the door opening / closing determination unit continues for a predetermined time; and the illumination When the determination of lighting off by the determination unit continues for a predetermined time, a camera abnormality determination unit that determines that an abnormality has occurred in the camera, a change in the shooting direction determined by the camera shooting direction determination unit, and the camera abnormality determination Reporting means for reporting to the monitoring center that an abnormality has occurred in response to at least one determination of a camera abnormality determined by the means. It is.

  In the invention according to claim 7, when a malicious mischief such as changing the shooting direction of the camera, spraying the lens portion, or covering the lens of the camera with paper is performed, Therefore, it is possible to promptly respond to the occurrence of a camera abnormality.

  According to the first to fourth aspects of the present invention, the area for comparing the basic image and the camera image is divided into three areas: an illumination lighting determination area, a door open / close state determination area, and a passenger detection area. At the same time, by removing these areas from the window glass area provided on the door, it is possible to perform door open / close determination and monitor abnormalities by detecting passengers without being affected by sunlight or other light from the window glass. In addition, malfunction due to the window glass can be prevented, and high reliability can be ensured as compared with the prior art.

  According to the inventions according to claims 5 and 6 of the present invention, the setting of the basic image and the setting of the pixel comparison area with the basic image made up of the lighting lighting determination area, the door open / close state determination area, and the passenger detection area are performed. Thus, the initial setting operation can be easily performed as compared with the conventional method without causing an error.

  According to the invention of claim 7 of the present invention, when a malicious mischief such as changing the direction of the camera, spraying the lens part, or covering the lens of the camera with paper is performed. In addition, since the situation is accurately determined and reported to the monitoring center, it is possible to quickly cope with the occurrence of camera abnormality.

  The best mode for carrying out an abnormality monitoring apparatus in an elevator car according to the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram showing an embodiment of an abnormality monitoring apparatus in an elevator car according to the present invention, FIG. 2 is a flowchart showing an initial setting procedure in this embodiment, and FIG. 3 is in a car provided in this embodiment. FIG. 4 is a diagram for explaining an area setting procedure in the present embodiment, FIG. 5 is a flowchart showing an abnormality detection procedure in the present embodiment, and FIG. 6 is a camera malfunction due to mischief in the present embodiment. FIG. 7 is a view for explaining detection, and FIG. 7 is a view for explaining stay detection in this embodiment.

  As shown in FIG. 1, this embodiment is installed in an elevator car 1 and is described later on the basis of image information captured from the camera 2 and a camera 2 that photographs the inside of the car 1. The image processing apparatus 3 that performs various processes to be performed and analyzes the state of occurrence of an abnormality in the car 1 from these various processes, the external notification means 4 connected to the image processing apparatus 3, and the external notification means 4 and a monitoring center 6 that is connected via a communication line 5 and remotely monitors the occurrence of an abnormality in the elevator.

  The image processing apparatus 3 includes an analog / digital conversion circuit 3A that converts a video signal from the camera 2 into a digital signal (not necessary in the case of a digital signal output type digital camera), and image processing that performs comparison operations between images. Unit 3B, CPU 3C that performs image processing and other processing, RAM 3D that stores and temporarily stores image information, ROM 3E that stores programs, output of signals processed by image processing unit 3B and CPU 3C, And an input / output device 3F for inputting a signal to be output from the monitoring center 6.

  The abnormality detection in the car 1 is mainly to detect whether a person or the like exists for a predetermined time or more with the elevator stopped and the door closed. That is, it is a stay detection in the car 1 such as a fall due to a sudden illness in the car 1 or an ambush of a suspicious person. This stagnation detection is performed by comparing the brightness of pixels of a background image, that is, a basic image, which is an unmanned camera image in the car 1 stored in advance in the RAM 3D, with the brightness of pixels of an image captured from the camera 2. When there is a pixel having a difference exceeding the threshold, it is determined that a luggage, a person, or the like exists in the car 1.

  Next, the initial setting of the basic image in this embodiment will be described with reference to FIG. When the CPU 3C of the image processing apparatus 3 receives an instruction generated at a predetermined time interval, the CPU 3C executes an abnormality detection process in accordance with a program stored in the ROM 3E. The timer is initialized to 0 and starts processing.

  First, the video information from the camera 2 is taken in, stored in the RAM 3D as the current image (step SA01), and the state of the background flag is confirmed (step SA02). Here, in the background flag, the state 0 is a state without a basic image, the state 1 is a state with a basic image, and has these two states. Since the initial state is the state 0, the current image is It is copied to the RAM 3D and stored as a basic image (step SA03), the background flag is set to 1, and time measurement is started (step SA04).

  Next, the CPU 3C compares the luminance of the pixel of the current image obtained from the camera 2 via the image processing unit 3B with the luminance of the pixel of the basic image stored in the RAM 3D in step SA03 (step SA05), and there is a luminance difference. When the ratio is less than or equal to a predetermined value, the current image is determined to be the same as the basic image and `` no difference '' is output, and when the luminance difference exceeds a predetermined value, the current image is determined to be different from the basic image. “With difference” is output. Further, when the determination of “with difference” or “without difference” cannot be made, for example, the lighting in the car 1 is turned off or flickers, and it is determined that there is a difference even if the current image is compared with the basic image. When it is clear, “Unknown” is output (step SA06). Here, “with difference” indicates that there is an image in which the current image does not exist in the basic image, and that there is a stagnant object such as a passenger or luggage in the car 1. The determination method of “unknown” is when the average brightness of the lighting lighting determination area 9 described later is equal to or less than the lighting lighting determination threshold value.

  Further, in the above-described step SA06, when “no difference” is output, an update is performed to increment a non-difference counter (not shown) to “+1” (step SA07), and when “difference exists” is output, there is a difference (not shown). The counter is updated to “+1” (step SA08), and in the case of “unknown”, neither a counter with no difference (not shown) nor a counter with difference (not shown) is updated.

  When the difference counter (not shown) is updated to “+1” in the above-described step SA08, the state of the door setting flag (not shown) is confirmed (step SA09). Here, the state of the setting flag (not shown) includes a state in which the basic image is not determined as “state 0” and whether or not the basic image is correct, and a basic image is determined as “state 1” in the initial state. In the state, since the basic image is not formally confirmed, step SA10 and step SA11 which are setting processes of the door opening / closing state determination area and passenger detection area described later are skipped, and the process proceeds to step SA12 described later. In addition, since the counter with difference and the counter without difference count one for each image, for example, if the image capture cycle is 1 second and the determination time is 1 minute, comparison processing is performed 60 times. Will be 60 times. However, this is a case where there is no “unknown” in the comparison result of step SA06.

  Next, the state of a door setting flag (not shown) is confirmed (step SA12). Since the initial state is “state 0”, the time started in step SA04 is in progress, and the basic image has been created in step SA03. The elapsed time is confirmed (step SA13), and when a predetermined time, for example, 60 seconds elapses, the no-difference counter updated in step SA07 and the differential counter updated in step SA08 are calculated. If the difference is exceeded, it is determined that there is a difference detection. If it is less than the predetermined ratio, it is determined that there is no difference detection (step SA14). If it is determined that there is a difference detection, the background flag is reset to “state 0” (step SA15). ), Returning to step SA01, the basic image is captured, and if it is determined that no difference is detected, the door setting flag is set to “state 1”. New, door status determination area in step SA10, and to allow shifting to the processing of the occupant detection area (step SA16).

  The processing after the basic image is confirmed in step SA16 will be described. After the door setting flag is set to 1, the process is temporarily terminated, and after waiting for, for example, 1 second, which is the next image capture cycle, the process is repeated from step SA01. If the basic image is confirmed at this time, the background flag and the door setting flag are “1”, respectively, so that the process is executed in the order of step SA01, step SA02, step SA04, step SA05, and step SA06. . If it is determined that there is “no difference” or “unknown” in step SA06, the door setting flag is “1”, so the process branches from step SA12 to immediate termination, and “difference exists” is determined in step SA06. The same processing is repeated until it is done.

  Here, after determining the background in step SA16, if it is determined that there is a difference for the first time in step SA06, after confirming the state of the door setting flag in step SA09, the process proceeds to step SA10 to set the door opening / closing state determination region and the passenger detection region. Do.

  Next, the setting of the door open / close state determination area and the passenger detection area, which are the processes of steps SA10 and SA11, will be described with reference to FIGS.

  FIG. 3 shows an image obtained by photographing the side of the door 7 from the camera 2 installed above the side plate facing the door 7 of the car 1, and the window 7 is provided on the door 7, and the window from the car 1 is opened. The situation of the hall can be seen through the glass 8. As described above, when the window glass 8 is provided on the door 7, when light is inserted from the window, a difference occurs between the image of the camera 2 and the basic image, and thus erroneous determination is made. It is necessary to eliminate the influence of light.

  Further, if the illumination in the car 1 is not lit, the camera 2 has no meaning to compare the photographed image with the basic image, so the lighting of the car 1 must be detected. Here, if an illumination lighting determination area 9 that is an area for detecting lighting on / off is set in the area closest to the ceiling lighting (not shown) and above the upper end of the door 7, that is, in the vicinity of the upper part of the image of the camera 2. The detection of lighting on / off is not easily affected by light inserted from the window glass 8. Since this illumination lighting determination area 9 is located at the top of the image, it is sufficient to set the address of the pixel in advance, and it is not necessary to set it again when the camera 1 is installed on the car 1.

  In addition, when a passenger gets in and out of the car 1, the image of the camera 2 and the basic image are clearly different. Therefore, it is necessary to detect that the door 7 is closed in order to detect a staying person. Here, it is necessary to provide the door opening / closing status determination region 10 for detecting the opening / closing of the door 7 in the upper part of the door 7 so as not to react to light from the window glass 8 or passengers. It is necessary to set it as a predetermined area including the upper closed end portion 7A. For example, the lower end of the door open / close state determination region 10 is positioned between the upper end of the door 7 and the upper end of the window glass 8 provided on the door 7.

  Further, passenger detection of the car 1 may be performed by comparing images near the floor of the car 1, so that the lower end of the passenger detection area 12 is set near the lower part of the image of the camera 2, and the lower end of the door 7 and the window glass 8. The upper end of the passenger detection area 12 is set between the lower end portions of the vehicle and the left and right sides are set in a region beyond the floor 11, that is, slightly wider than the floor 11. In the passenger detection area 12 set in this way, it is difficult to be affected by the window glass 8.

  The settings of the door opening / closing status determination area 10 and the passenger detection area 12 are different for each car 1 in the width of the car 1 and the dimensions of the door 7. These area settings in step SA10 and step SA11 of FIG. 2 will be described with reference to FIG.

  First, in the basic image 13 of the car 1 with the door closed, in the image taken by the camera 2, the door closed image 14 with the door 7 closed, the door opening start image 15 with the door 7 starting to open, When the difference between the door half-open image 16 with the door 7 half open, the door full-open image 17 with the door 7 fully opened, and the basic image 13 is detected, the difference between the door closed images 14 is the same. As for the difference of the door opening start image 15, the door opening start portion 15 </ b> A obtains the door opening start difference image 19 as the difference image, and the difference of the door half opening image 16 is the difference image of the door half opening portion 16 </ b> A. The door half-open differential image 20 is obtained, and the difference of the door full-open image 17 is that the door full-open portion 17A can obtain the door full-open differential image 21 as a difference image. The difference detection is the processing of steps SA05 and SA06 in FIG.

  Here, in the door opening start difference image 19, a predetermined number of addresses set in advance based on the address of the image corresponding to the upper closed end portion 7 </ b> A of the door opening start portion 15 </ b> A is set as the door open / close state determination region 10, A predetermined number of addresses set in advance based on the address of the image corresponding to the lower closed end portion 7B of the opening start portion 15a is set as the passenger detection area 12, and corresponds to the door opening / closing state determination area 10 and the passenger detection area 12 Comparing the difference between the basic image 13 and the image of the camera 2 with respect to the address of the image to be performed corresponds to the door opening / closing determination means and the passenger detection means. Similarly, each image difference comparison in the illumination lighting determination area 9 corresponds to the illumination determination means.

  Although the procedure for automatically setting the door opening / closing status determination area 10 and the passenger detection area 12 has been described, a personal computer (not shown) is connected to the input / output device 3F, while referring to the basic image 13 displayed on the monitor. The door opening / closing state determination area 10, the passenger detection area 12, and the lighting lighting determination area 9 may be manually input and set.

  Next, detection of the occurrence of an abnormality in the camera 2 and detection of staying persons and staying objects in the car 1 will be described with reference to FIGS.

  First, as shown in FIG. 5, the current image of the camera 2 is captured (step SB01), and the door open / close determination means for detecting the difference in the door open / close state determination area 10 between the current image and the basic image 13 determines the door open / close. (Step SB02).

  If it is determined in step SB02 that "there is a difference" and the door 7 is open, the difference counter, the no-difference counter, and the timer are cleared to "0" (step SB03), and the external notification means 4 is reset. (Step SB04), an open detection flag for performing processing on the comparison result between the basic image and the current image of the camera 2 is set to “1” (Step SB05).

  If it is determined in step SB02 that the door is open, it is also checked whether the shooting direction of the camera 2 is shifted. The determination of the photographing direction shift of the camera 2 will be described with reference to FIG.

  In FIG. 6, items that can determine the situation in the car 1 by detecting the difference between the current image of the camera 2 and the basic image 13 are a car that is a combination of the door 7 open / close judgment, the lighting on / off judgment, and the like. 1 is a situation determination within 1 and a situation determination of the camera 2.

  First, as a first state, the door closed image 14 in a state in which the door 7 is closed has continuity in the lighting state and the door closed detection state by the door open / close state determination region 10, and thus the door 7 is closed. Can be determined. Here, regarding lighting, even if the lighting is set to be turned off when a predetermined time, for example, 5 minutes elapses after the call of the elevator disappears, there is continuity for 5 minutes.

  Next, as a second state, the door half-open image 16 in which the door 7 is being opened and closed and the door 7 is half-opened is lit and the continuity of the door open / closed state detection region 10 is detected. It is possible to determine whether the door 7 is being opened or closed.

  Next, as a third state, the illumination extinguishing image 22 in which the illumination is extinguished is clearly different between the door opening / closing status determination area 10 of the basic image 13 and the image of the camera 2, so that door opening is detected when difference detection is performed. At the same time, since the illumination extinction detection continues until the elevator call is generated, it is possible to determine whether the illumination is extinguished.

  Next, as a fourth state, a camera shift image 23 in which the shooting direction of the camera 2 is shifted is detected by detecting a difference between the door open / close state determination region 10 of the basic image 13 and the door open / close state determination region 10 of the camera shift image 23. There is continuity to detect lighting and detect lighting until a predetermined time, e.g., 5 minutes elapses, from the absence of an elevator call, and there is continuity in door opening as in the first state described above. 2 can be determined. Further, when paint is applied to the lens of the camera 2 by spraying or a sticker is applied, the illumination is turned off and the door 7 is kept open, so that identification is possible even in such a case.

  In the determination in the fourth state described above, it is determined in step SB02 that the door 7 is open, the door open detection flag is set to “1” in step SB05, and the lighting is turned on / off. 13 and the current image of the camera 2 in the lighting lighting determination area 9 are compared (step SB06). When lighting is determined, the door opening lighting ON counter is incremented by “+1” (step SB07), and in step SB07. The counted value is compared with a preset setting value (threshold value) (step SB08), and if it is equal to or less than the set value, the process returns to step SB01 to determine whether the illumination is ON in step SB06 or the door open illumination ON counter in step SB07. Is performed to determine the continuity of the state in which the light is turned off and the door 7 is open. In step SB08, the door open light ON count is determined. If it is determined that the value exceeds the set value, it is determined that the shooting direction of the camera 2 has changed, the external notification means 4 is activated as “camera displacement has occurred”, and a notification is sent to the monitoring center 6 via the communication line 5. (Step SB09).

  If it is determined that there is no difference in step SB02 and it is determined that the door 7 is closed, the door opening illumination ON counter is cleared (step SB10), and it is determined whether or not it is immediately after the door is closed (step SB11). Here, in step SB02, since the door is switched from the door open state to the door closed state immediately after the door is closed, it is determined that the door is immediately closed.

  Next, when it is determined in step SB11 that the door has just been closed, the next process is performed with a delay of a predetermined time, for example, 3 seconds. When it is determined immediately after the door is closed in step SB11, a switch (not shown) provided on the door 7 is turned on even if there is no difference between the image taken by the camera 2 and the door open / close status determination area 10 of the basic image 13. This is because the door 7 is not surely closed, and it is considered that the door 7 is surely closed if a certain period of time elapses after determining immediately after the door is closed in step SB11.

  Next, a timer of, for example, 2 minutes, which is the determination time for stay detection, is started (step SB12).

  Next, the brightness of the pixel in the passenger detection area 12 of the current image from the camera 2 is compared with the brightness of the pixel in the passenger detection area 12 of the basic image 13 (step SB13), and the ratio of the difference in brightness is less than a predetermined value. When it is determined that the current image is the same as the basic image 13, “No difference” is output, and when the luminance difference ratio exceeds a predetermined value, the current image is determined to be different from the basic image 13, and “With difference” is output. To do. As shown in FIG. 7, when there is a passenger 24 </ b> A in the current image 24, the screen with a difference has a lower body 25 </ b> A of the passenger 24 </ b> A in the passenger detection area 12 of the difference image 25. Further, when the determination of “with difference” or “without difference” cannot be made, for example, the lighting in the car 1 is turned off or flickers, and the average luminance of the lighting lighting determination region 9 is a predetermined value (threshold value) for lighting lighting determination. ) In the following case, that is, when it is clear that “there is a difference” even if the current image and the basic image 13 are compared, “unknown” is output (step SB14).

  Next, if it is determined in step SB14 that there is no difference, the counter with no difference is incremented by "+1" (step SB15), and if it is determined that there is a difference, the counter with difference is incremented by "+1". (Step SB16).

  Next, after outputting “unknown” in step SB14, adding “+1” to the counter with no difference in step SB15, and adding “+1” to the counter with difference in step SB16, respectively, It is checked whether the state of the detection flag, which is a flag indicating whether to perform processing, is “0” or “1” (step SB17).

  If the state of the detection flag is “0”, the process returns to step SB08, the image is captured in step SB01, and the processes in steps SB01 to SB16 are repeated (the processes in steps SB18 to SB22 described later are not performed).

  If the state of the detection flag is “1”, it is determined whether or not the value of the timer started in step SB12 has reached a preset retention detection determination time (step SB18). If a predetermined time, for example, 2 minutes has not elapsed, the process returns to step SB08, the image is captured in step SB01, and the processes in steps SB01 to SB17 are repeated.

  Further, in step SB18, when two minutes of the predetermined time has elapsed since the timer activation in step SB12, determination of stay in the car 1 is made (step SB19). The determination of stay detection performed in step SB19 is performed when the counter value with difference exceeds a predetermined ratio with respect to the sum of the counter value without difference counted in step SB15 and the counter value with difference counted in step SB16. Therefore, it is determined that there is “staying”, and the case where the counter value with difference is equal to or less than a predetermined ratio is set to “no difference”.

  If it is determined in step SB19 that “there is staying”, the external notification means 4 is activated, and the staying detection of the car 1 is reported to the monitoring center 6 connected via the communication line 5 (step SB20). If it is determined in step SB19 that “no stagnation”, a basic image update process is performed in which the current image 24 captured by the camera 2 is set as the basic image 13 (step SB21).

  Next, if it is determined in step SB19 that the stay detection is unknown, after the notification to the monitoring center 6 in step SB20, whether the stay detection determination result is processed in step SB21 after the basic image update process is performed. The state of the detection flag, which is a flag of “no”, is set to “0”, and the stay detection determination result is not processed until the next door opening is detected.

  In the present embodiment, the illumination determination means corresponds to the processing in steps SB06 and SB07 in FIG. 5, the door opening / closing determination means corresponds to the processing in step SB02, and the passenger detection means corresponds to the processing in steps SB13 to SB16 and SB19 in FIG. The basic image setting means, the door closed end position detecting means, and the area setting means correspond to steps SA10 and SA11 in FIG. 2, and the camera shooting direction determining means and the camera abnormality determining means are the steps in FIG. SB06 to SB09 correspond, and the reporting means corresponds to SB09 and SB20 in FIG.

  As described above, according to the present embodiment, the average luminance of the illumination lighting determination area 9 of the basic image 13 and the average luminance of the illumination lighting determination area 9 of the current image 24 are compared, and the illumination lighting area 9 of the basic image 13 is compared. If the average luminance of the illumination lighting determination area 9 of the current image 24 with respect to the average luminance is decreased by a predetermined ratio, it is detected that the illumination is extinguished. Therefore, the illumination lighting determination is a disturbance such as sunlight leaking from the window glass 8. Is less affected by

  In addition, after starting the device, the first detected image of lighting is used as a temporary basic image, and then the difference between the current image and a predetermined number of times is detected at a predetermined interval. If the ratio is equal to or less than the predetermined ratio, the temporary basic image is stored as the basic image 13, and after the apparatus is started up, the setting of the basic image 13 is completed, and then the difference between the basic image 13 and the current image 24 is detected at predetermined intervals. The uppermost end of the difference generation area of the current image 24 where the difference is first detected is the upper closed end 7A of the door 7, the lowermost is the lower closed end 7B, and the door is opened and closed from the upper closed end 7A of the door 7. Since the detection area 10 is set and the passenger detection area 12 is set from the lower closed end portion 7B, the adjustment at the site can be easily performed.

  Further, when the illumination lighting determination and the door opening determination are continued, it is detected that the photographing direction of the camera 2 has shifted, and the external notification means 4 notifies the monitoring center 6 so that a quick response can be achieved. it can.

  In this embodiment, as shown in FIG. 3 and the like, the door 7 is constituted by two panels that are opened left and right, but the door 7 is constituted by four panels that are opened both sides. Alternatively, it may be configured by either left or right single doors (one or a plurality of doors may be used). Even in the elevator configured as described above, it is possible to obtain the same effects as those of the present embodiment.

1 is a block diagram showing an embodiment of an abnormality monitoring device in an elevator car according to the present invention. It is a flowchart which shows the initial setting procedure in this embodiment. It is a figure explaining the image comparison area in the image in a passenger car with which this embodiment is equipped. It is a figure explaining the area | region setting procedure in this embodiment. It is a flowchart which shows the abnormality detection procedure in this embodiment. It is a figure explaining camera abnormality detection by mischief in this embodiment. It is a figure explaining the residence detection in this embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Car 2 Camera 3 Image processing apparatus 3A Digital conversion circuit 3B Image processing part 3C CPU
3D RAM
3E ROM
3F I / O device 4 External notification means 5 Communication line 6 Monitoring center 7 Door 7A Upper closed end portion 7B Lower closed end portion 8 Window glass 9 Illumination lighting determination region 10 Door open / closed state determination region 11 Floor 12 Passenger detection region 13 Basic image 24 Current image 24A Passenger 25 Difference image

Claims (7)

Take a picture of the elevator car, and use a camera provided at an upper position facing the elevator door and an unmanned image taken with this camera as a basic image, and compare this basic image with the image taken by the camera. In the abnormality monitoring device in the elevator car that detects the presence or absence of passengers,
A predetermined area from the upper end portion in the photographed image of the camera is formed, and an illumination lighting determination area that is an area for determining whether the illumination is turned off,
A predetermined area near the closed end of the upper part of the door in the photographed image of the camera, and a door opening / closing status determination area which is an area for determining opening / closing of the door;
Forming a lower area from the vicinity of the closed end of the lower part of the door in the captured image of the camera, and a passenger detection area that is an area for detecting the presence or absence of a passenger,
When lighting is determined in the lighting lighting determination area and door closing is determined in the door opening / closing status determination area, presence / absence of passengers is detected from the basic image and the passenger detection area of the image captured by the camera. An abnormality monitoring device in an elevator car, characterized by: In the invention of claim 1,
Illumination determination means that compares the luminance of the pixels of the basic image with the luminance of the pixels located in the illumination lighting determination area in the image photographed by the camera, and determines whether the illumination is turned off at a ratio with a luminance difference;
A door opening / closing determination means for comparing the luminance of the pixel of the basic image with the luminance of a pixel located in the door opening / closing state determination region in the image photographed by the camera, and determining opening / closing of the door at a ratio with a luminance difference; ,
Passenger detection means for comparing the brightness of the pixels of the basic image with the brightness of pixels located in the passenger detection area in the image taken by the camera, and detecting the presence or absence of the passenger at a ratio with a brightness difference An abnormality monitoring device in an elevator car characterized by the above. In the invention according to claim 1 or 2,
The illumination lighting determination area, the door opening / closing state determination area, and the passenger detection area each form an independent area, and the passenger detection area includes an area exceeding the floor area of the car. An abnormality monitoring device in the elevator car. In the invention according to any one of claims 1 to 3,
The lower end of the door opening / closing situation determination region is located between the upper end of the door and the upper end of the window glass provided on the door,
An abnormality monitoring apparatus in an elevator car, wherein an upper end of the passenger detection area is located between a lower end of the door and a lower end of a window glass provided on the door. In the invention of claim 2,
The illuminating determination unit first detects the lighting of the camera as a captured image of the camera as a temporary basic image, compares the luminance of the pixel of the captured image of the camera with the luminance of the pixel of the temporary basic image, a luminance difference An abnormality monitoring apparatus in an elevator car, comprising basic image setting means for making a basic image when the presence ratio is a predetermined value or less. In the invention according to any one of claims 1 to 5,
Door closing position detecting means for detecting the upper and lower ends of the pixel in which a difference has occurred by comparing the pixel of the basic image and the pixel of the captured image of the camera as a door upper closed position and a door lower closed position, respectively. ,
An area setting means for setting the door open / close state determination area and the target pixel of the passenger detection area from the basic image based on the door upper closed position and the door lower closed position. An abnormality monitoring device in the elevator car. In the invention of claim 2,
A monitoring center for remotely monitoring elevator abnormalities via a communication line;
A camera shooting direction determination unit that determines that a change has occurred in the shooting direction of the camera when the lighting determination by the lighting determination unit and the door opening / closing determination by the door opening / closing determination unit continue for a predetermined time;
When the illumination determination by the illumination determination unit continues for a predetermined time, a camera abnormality determination unit that determines that an abnormality has occurred in the camera;
Reporting means for reporting to the monitoring center that an abnormality has occurred in response to at least one of a change in the photographing direction determined by the camera photographing direction determining means and a camera abnormality determined by the camera abnormality determining means; An abnormality monitoring device in an elevator car characterized by comprising:

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