CN104229574A - Elevator monitoring system - Google Patents
Elevator monitoring system Download PDFInfo
- Publication number
- CN104229574A CN104229574A CN201310610618.5A CN201310610618A CN104229574A CN 104229574 A CN104229574 A CN 104229574A CN 201310610618 A CN201310610618 A CN 201310610618A CN 104229574 A CN104229574 A CN 104229574A
- Authority
- CN
- China
- Prior art keywords
- mentioned
- images
- parts
- car
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Indicating And Signalling Devices For Elevators (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
Embodiment of the present invention relates to an elevator monitoring system that utilizes a monitoring camera to monitor all the positions of the elevator car. The system utilizes the monitoring camera to monitor the states of all the positions of the elevator car with high precision. The system comprises the monitoring camera (20) in the elevator car, and a monitoring center (31) that obtains the shot images of the monitoring camera (20) through the network (30) and monitors the inner states of the elevator car (20). The monitoring camera (20) achieves functions of partially extracting images at the preset positions in the preset time period; of analyzing part of the images and determining the state changes of the position corresponding to the images; and of sending the images to the monitoring center (31) through the network (30) in case of determination of state changes.
Description
The application is by the Japanese patent application 2013-122611(applying date: on June 11st, 2013) based on, and enjoy the preceence of this earlier application.The application comprises the full content of this application by referring to this application.
Technical field
Embodiments of the present invention relate to the supervisory system of the elevator monitoring the state of each position in lift car with monitor camera.
Background technology
Have, in the car of elevator, monitor camera is set to monitor the system of the state in car.Within the system, such as use the monitor camera being equivalent to 400,000 pixels, and the general image in the car taken by this monitor camera is sent to long-range central monitoring position via network.
At this, in existing supervisory system, no matter elevator has without exception, all to send the general image in car to central monitoring position with the size of specifying.Usually, if be equivalent to the monitor camera of 400,000 pixels, then such as with VGA(Video Graphics Array) size (640 × 480) or QVGA(VGA 1/4th) size (320 × 240) sends.
But the resolution being equivalent to the monitor camera of 400,000 pixels is low.Therefore, namely allow to the movement etc. checking the passenger in car from photographic images, but be also difficult to the defect of each position checked in detail in car and/or dirty etc.
In this case, if use high-resolution monitor camera, then from photographic images, carefully can check each position in car.But if use high-resolution monitor camera, then the data volume of photographic images becomes very large.Therefore, when sending photographic images to central monitoring position, the utilized bandwidth of network and/or the problem of communication cost is produced.
Summary of the invention
Problem to be solved by this invention is to provide a kind of supervisory system that monitor camera can be used to monitor the elevator of the state of each position in car accurately.
The supervisory system of the elevator involved by present embodiment comprises: be arranged on the monitor camera in car; And obtain via network the image taken by this monitor camera and monitor the central monitoring position of the state in above-mentioned car.
Above-mentioned monitor camera comprises: parts of images extracting part, and it, when arriving the time period preset, partly extracts the image of the position preset in above-mentioned car from photographic images; State variation judging part, it is resolved the parts of images extracted by this parts of images extracting part, and judges the state variation of the position corresponding with this parts of images; And transmission control part, this parts of images, when being judged as state variation by this state variation judging part, is sent to above-mentioned central monitoring position via above-mentioned network by it.
According to the supervisory system of the elevator of above-mentioned formation, monitor camera can be used to monitor the state of each position in car accurately.
Accompanying drawing explanation
Fig. 1 is the figure of the formation of each position represented in the lift car involved by an embodiment;
Fig. 2 is the block scheme of the formation of the supervisory system of the elevator represented in same embodiment;
Fig. 3 is the block scheme that the function of the control part included by monitor camera used in the supervisory system of the elevator represented in same embodiment is formed;
Fig. 4 is the diagram of circuit of the work of the monitor camera used in the supervisory system of the elevator represented in same embodiment;
Fig. 5 is the diagram of circuit of supervision process when representing the monitor camera that performs in the step S13 of above-mentioned Fig. 4 normal;
Fig. 6 is the photographic images of the monitor camera used in the supervisory system of the elevator be shown schematically in same embodiment and the figure being sent to the general image of central monitoring position and the relation of parts of images;
Fig. 7 be the use low resolution represented in same embodiment monitor camera shooting car in operation board time the figure of image examples;
The figure of image examples when Fig. 8 is the operation board taken with high-resolution monitor camera in car represented in same embodiment.
Detailed description of the invention
Hereinafter, with reference to the accompanying drawings of embodiment.
Fig. 1 is the figure of the formation of each position represented in the lift car involved by an embodiment.In figure 11 represents that car is overall.
Stopping port place, front in car 11, being provided with door 12 can switch freely.This 12 engages to carry out switch with the door of not shown boarding place side when car 11 rests in each floor.Operation board 13 and telltale 14 is provided with near 12 at this.
On operation board 13, except the object floor button 13a corresponding with each floor, be also provided with the various action buttons comprising door open button 13b, door close button 13c etc.When entering the passenger in car 11 and being specified object floor by the operation of object floor button 13a, not shown winch is driven, and car 11 moves to object floor.
Telltale 14 is such as by LCD(Liquid Crystal Display) etc. form, and to be arranged near operation board 13.With the current location of true-to-shape display car 11 and/or service direction etc. on the picture of this telltale 14.
In addition, the ceiling surface 11a in car 11 is provided with the light equipment 15 in given luminance illuminating chamber.This light equipment 15 car 11 be in stopped under unmanned state be more than or equal to fixed time (such as 1 minute) time automatic distinguishing.
In addition, 11b, 11c in figure are the sides (back side omission) of left and right, and 11d is bottom surface.Each face in the car comprising ceiling surface 11a etc. is applied with shades of colour and/or design.
At this, due to the state in telemonitoring car 11, therefore, the assigned address in car 11 is provided with high-resolution monitor camera 20.In addition, in the example in fig 1, although the side 11b in car 11 is provided with monitor camera 20, for setting position, be not particularly limited.As long as such as ceiling surface 11a etc. can take the position of the entirety in car 11, any position can.
This monitor camera 20 has wide-angle lens, can near the door 12 in front in car 11 centered by carry out overall shooting car 11.In addition, this monitor camera 20 such as has the capturing element being equivalent to 5,000,000 pixels, can obtain high-resolution image.Further, in this monitor camera 20, be equipped with the image processing function comprising digital tripod head (digital pan tilt zoom) function.
In addition, in the supervisory system of general elevator, use the monitor camera being equivalent to the low resolution of 400,000 pixels.In the situation such as movement monitoring passenger, there is no any problem with the image that the monitor camera of this low resolution is taken yet, but, have any problem during the state variation of each position in detailed inspection car 11.
To this, in the present system, owing to using the monitor camera 20 being equivalent to 5,000,000 pixels to take in car 11, therefore, the state variation of each position in car 11 can be checked in detail.But if the photographic images of mega pixel is sent to outside (central monitoring position) via network, then need the Web vector graphic bandwidth of this magnitude, communication cost also increases.
Therefore, in the present system, time normal, send after the size of data of general image being narrowed down to VGA size or QVGA size.On the other hand, when judging state variation, extracting with VGA size or QVGA size in the middle of general image and becoming the part judging object, and only sending the parts of images of this extraction.
Below concrete formation is described.
Fig. 2 is the block scheme of the formation of the supervisory system representing elevator.
Shoot part 21, control part 22, timer 23, storage part 24, Department of Communication Force 25 is comprised at monitor camera 20.Shoot part 21 is made up of the capturing element being equivalent to 5,000,000 pixels, generates the view data corresponding with the subject via not shown taking lens imaging.The view data generated by this shoot part 21 is provided to control part 22 and processes.In addition, because the generating process of view data and the present invention do not have direct relation, therefore, at this, description is omitted.
Control part 22 is controllers of the work for controlling monitor camera 20.As shown in Figure 3, comprise image processing part 22a, parts of images extracting part 22b, state variation judging part 22c at this control part 22, send control part 22d, as the function for realizing native system.
Image processing part 22a carries out reducing the size of data (size of the view data particularly, generated by shoot part 21) of the image taken by monitor camera 20 with the process of the same size with the parts of images illustrated later.As reducing method, use the extraction process etc. of general known pixel.
Parts of images extracting part 22b, when arriving the time period preset, carries out the process of the image of the position preset partly extracted from the image taken by monitor camera 20 in car 11.Particularly, parts of images extracting part 22b, when arriving the above-mentioned time period, judges whether the state in car 11 meets specified requirements.When meeting above-mentioned condition, parts of images extracting part 22b partly extract from the image taken by monitor camera 20 in car 11 in advance as the image judging the position that object sets.
So-called above-mentioned condition, comprises: unmanned in car 11; Door 12 is closed the door; Light equipment 15 is lighted.Whether the state in car 11 meets these conditions judges by resolving photographic images.
In addition, as judging object's position, the position being provided with operation board 13 is at least comprised.This is because be provided with the action button that the object floor button 13a corresponding with each floor and/or the passenger such as door open button 13b, door close button 13c frequently touch on operation board 13, so the cause of defect and/or dirty easy attachment.
In addition, the position being provided with door 12 in car 11, the position being provided with telltale 14, the position etc. that is provided with light equipment 15 also become object.In addition, also can judge in object, to comprise ceiling surface 11a, side 11b, 11c and/or each position such as the not shown back side, bottom surface 11d, check defect and/or dirty etc.
State variation judging part 22c resolves the parts of images extracted by parts of images extracting part 22b, and judges the state variation of the position corresponding with this parts of images.Particularly, state variation judging part 22c is by comparing the benchmark image of the parts of images extracted by parts of images extracting part 22b and the position corresponding with this parts of images the state variation judging this position.
Send control part 22d the entirety of the image (image generated by shoot part 21) in the car 11 taken by monitor camera 20 or a part are exported to Department of Communication Force 25 and is sent to outside.Central monitoring position 31 in this said outside.
Particularly, send control part 22d and when normal, the general image reduced by image processing part 22a is exported to Department of Communication Force 25, and send to central monitoring position 31 via network 30.In addition, in above-mentioned setting-up time section, sending control part 22d only when being judged as state variation by state variation judging part 22c, the parts of images corresponding with this position being outputted to Department of Communication Force 25, and sends to central monitoring position 31 via network 30.
In addition, the control part 22 of this monitor camera 20 is connected with timer 23, storage part 24, Department of Communication Force 25 etc.
Timer 23 carries out timing to the current moment.Storage part 24 stores the various data that the benchmark image of each position in car 11 etc. needs in the process operation of control part 22.Department of Communication Force 25 carries out the transmission and reception process of the data between central monitoring position 31 via network 30.Network 30 is such as made up of internet etc.
Central monitoring position 31 is positioned at remote location, is the mechanism of the running state of the elevator of each article of telemonitoring etc.For this central monitoring position 31, the entirety of the image in the car 11 taken by monitor camera 20 by transmission or a part carry out the state in telemonitoring car 11.
In addition, in fact, except central monitoring position 31, network 30 exists Image Saving server.Image (general image) time normal is sent to this Image Saving server, and when judging, the image (parts of images) being judged as state variation is sent to central monitoring position 31.But, as the formation of native system, owing to not needing to distinguish central monitoring position 31 and Image Saving server especially, therefore, below situation about possessing as the function of Image Saving server in central monitoring position 31 is described.
Then, the work of monitor camera 20 is described in detail.
Fig. 4 is the diagram of circuit of the work representing the monitor camera 20 used in the present system.In addition, read in designated program to perform by the control part 22 carried on monitor camera 20 in the process shown in this diagram of circuit.
Control part 22 uses timer 23 to monitor the current time (step S11), judges whether to arrive the time period (step S12) preset.This time period has width sometime, such as, and 13 point ~ 15 points.In addition, also multiple time period can be set in 1 day.
If not setting-up time section ("No" of step S12), then control part 22 performs the supervision process (step S13) when employing monitor camera 20 normal.
Fig. 5 represents and processes relevant diagram of circuit with supervision time normal.
First, control part 22 obtains the general image (step S21) of car 11 from shoot part 21.Then, control part 22 reduces the size of data of this general image with consistent with the size of data of parts of images (step S22).
Such as, when the size of data of parts of images is set to VGA size (640 × 480), the general image be made up of 5,000,000 pixels is narrowed down to VGA size.As reducing method, although use general known pixel decimation process etc., be not particularly limited its method in the present invention.
When the data of general image are narrowed down to the size of data of parts of images, the general image after this reduces by control part 22 sends (step S23) to central monitoring position 31.Particularly, the general image after reducing is supplied to Department of Communication Force 25, and is sent to central monitoring position 31 from Department of Communication Force 25 via network 30.This general image sends with the size of data identical with parts of images.Therefore, do not need consistent with the resolution of the monitor camera 20 arranged in car 11 and expand the utilized bandwidth of network 30.
On the other hand, in above-mentioned steps S12, if setting-up time section, then control part 22 judges whether the state in current car 11 meets following condition 1 ~ 3(step S14).
1. state unmanned in car 11
2. 12 state of closing the door
3. the state lighted of light equipment 15
The object of the shooting carried out in this setting-up time section is the state variation such as dirty, the defect of each position judged according to photographic images in car 11.Therefore, have obstruction owing to having in car 11 during passenger to shooting, therefore, in car 11, nobody becomes condition 1.In addition, be in empty state in car 11, not only nobody this said " unmanned ", and comprise the state that the forgotten ones such as luggage do not have yet.
In addition, because the defect of door-plate and/or dirty dirt etc. also check, therefore, door 12 is closed the door the condition that becomes 2.In addition, the parsing of parts of images except check door-plate defect and/or dirty except, also comprise gap change (position, closed condition) of door 12.Normally, even if more forward a little in the position closed completely than door 12, door switch also can be opened and become the state that can run.At this, the position of one end of the door 12 when having closed door on image from front once different, can be judged as such as owing to being blocked in the reasons such as dirt in rail groove and do not close the door completely (omen of door detects).
Further, the illuminating state (brightness etc.) due to light equipment 15 also needs to check, therefore, when taking, light equipment 15 lights the condition of becoming 3.
Control part 22 judges whether to meet these condition 1-3 by resolving photographic images.Particularly, successively dissection process is carried out to the multiple photographic images obtained continuously with fixed time interval, find the state meeting above-mentioned condition 1-3.In this monitor camera 20, possess image analysis function, even if photographic images is not sent to other device, also can resolve photographic images in inside.
In addition, in order to save electric power, usually, when car 11 stops being more than or equal to fixed time (such as 1 minute) under unmanned state, light equipment 15 automatic distinguishing.Therefore, when arriving above-mentioned setting-up time section, resolve premised on the image taken before light equipment 15 automatic distinguishing becomes.
When above-mentioned condition 1-3 sets up ("Yes" of step S15), extract photographic images when control part 22 is set up from condition in advance as the image (step S16) judging the part that object's position sets.
As mentioned above, the data of parts of images are such as set to VGA size (640 × 480).In addition, as judging object's position, the position being provided with operation board 13 is at least comprised.In addition, be provided with the position of door 12, be provided with the position of telltale 14, be provided with the position of light equipment 15 and become object.Further, each position of ceiling surface 11a, side 11b, 11c and/or the not shown back side, bottom surface 11d also becomes object.
When extraction judges the parts of images of object's position, this parts of images and the benchmark image corresponding with this position compare (step S17) by control part 22.Once at the parts of images of the same position of same time section shooting before using in this benchmark image.
Such as, when using the setting position of operation board 13 as object, frontly once replace previous benchmark image (previous parts of images) at the parts of images of operation board 13 of same time section shooting as new benchmark image and be stored in storage part 24.Then, when the parts of images with the operation board 13 obtained when taking specifically compares, from storage part 24, this new benchmark image (previous parts of images) is read.
Like this, by once using front as benchmark image at the parts of images of the same position of same time section shooting all the time, the state variation of this position can be analyzed continuously.In addition, owing to there is no previous parts of images when initial, therefore, such as, the parts of images of each position extracted from the image taken when mounted is used as benchmark image.
By the result that parts of images and benchmark image compare, when there being the change being more than or equal to designated value ("Yes" of step S18), control part 22 has been judged as state variation.Thus, this parts of images is supplied to Department of Communication Force 25 by control part 22, and with represent have detected state variation detection signal together be sent to central monitoring position 31(step S19 via network 30).
If judge that object's position is also set with other position ("No" of step S20), then control part 22 repeats above-mentioned identical process to each position during setting-up time section.Then, this parts of images, when state variation being detected, is sent to central monitoring position 31(step S19 via network 30 by control part 22).
At this, in above-mentioned steps S18, the what is called as the Rule of judgment of state variation " is more than or equal to the change of designated value ", refers to the state having the difference being such as more than or equal to 10% between parts of images and benchmark image particularly.Such as, if there is defect and/or dirty etc., then the difference and between benchmark image becomes large, has been judged as state variation.
In this case, in the present system, owing to using the high-resolution monitor camera 20 being equivalent to 5,000,000 pixels, therefore, the resolution of the parts of images extracted from this photographic images self also uprises.Therefore, it is possible to the state variation of the position corresponding with this parts of images is transmitted to check accurately meticulously.Further, when state variation being detected, owing to only the parts of images of a part for photographic images being sent to central monitoring position 31, therefore, it is possible to suppress data volume.
Represent this situation in figure 6.
Fig. 6 schematically shows the photographic images of monitor camera 20 and is sent to the figure of the relation between the general image of central monitoring position 31 and parts of images.
In figure 40 is the images taken by the monitor camera 20 being equivalent to 5,000,000 pixels.This photographic images 40 has the size of laterally 2560 × longitudinally 1920.Time normal, in the data etc. extracting each pixel forming this photographic images 40 with after narrowing down to such as VGA size (640 × 480), be sent to central monitoring position 31 via network 30.General image after the size that represents in figure 41 reduces.
On the other hand, when arriving the time period preset, that is, when arriving the time period of the state variation judged in car 11, focus is placed on the specified portions in photographic images 40 by use digital tripod head function, only extracts this part.In figure 42 represents the parts of images extracted from photographic images 40.In this case, the general image 41 time normal is all identical with the size of data of the parts of images 42 when judging, such as, be VGA size (640 × 480).
This parts of images 42 is compared with benchmark image, judges the state variation in car 11.As mentioned above, the parts of images of the same position once photographed in same time section before benchmark image being used.By with this benchmark image compare some state variation detected time, appropriate section image 42 is sent to central monitoring position 31 via network 30.When state variation not detected, appropriate section image 42 is not sent to central monitoring position 31.
Like this, by using mega pixel cameras as monitor camera, partly can extract from photographic images 40 in advance as the image judging the position that object sets, detecting the state variation in car 11 on one side accurately.
At central monitoring position 31 place, the general image 41 and parts of images 42 checking that send from monitor camera 20 can be shown on monitor picture.Even if this general image 41 is identical with the size of data of parts of images 42, be also a part for high-resolution photographic images 40 for parts of images 42.Therefore, it is possible to check tiny part on monitor picture.
Fig. 7 and Fig. 8 is used to be specifically described.
In the monitor camera of the general low resolution used, when such as extracting the part of the operation board 13 in car 11 from photographic images, as shown in Figure 7, image is impaired and not distinct.Therefore, on monitor picture, monitoring personnel is difficult to check the defect of operation board 13 and/or the tiny part such as dirty.
In contrast, in the present system, owing to using high-resolution monitor camera 20, therefore, when extracting the part of the operation board 13 in car 11 from this photographic images, as shown in Figure 8, image is shown brightly.Therefore, when such as there being little defect 50 grade in the somewhere of operation board 13, monitoring personnel easily can identify it on monitor picture.In this case, can, according to the degree of the state variation of each position, service personnel be correspondingly sent to arrive on-the-spot reply.
In addition, when passage partial image and last secondary standard image compare state variation detected, parts of images is sent to central monitoring position 31 together with detection signal.Now, send after the header information of parts of images adding detection position information.By this detection position information, can confirm in the mode of surrounding detection position with frame on monitor picture.Because this frame is not that embedded images itself is rewritten, but to the form that the header information of image provides, therefore, it is possible to the display/non-display of any change detection position frame on monitor picture.
According at least one above-mentioned embodiment, the supervisory system using monitor camera to monitor the elevator of the state of each position in car accurately can be provided.
In addition, in the above-described embodiment, although be illustrated the situation using the mega pixel cameras that is equivalent to 5,000,000 pixels as monitor camera 20, as long as but can to check each position in car 11 highly meticulously, any monitor camera also can be used to take by extracting part partial image from photographic images.
In addition, also multiple monitor camera 20 can be set each position in car 11 to monitor the entirety in car 11 meticulously.
In a word, although the description of several embodiment of the present invention, but these embodiments provide as an example, and do not mean that restriction scope of invention.These new embodiments can be implemented with other various forms, without departing from the spirit and scope of the invention, can carry out various omission, replacement, amendment.These embodiments and/or its distortion are comprised in scope of the present invention and/or purport, are also contained in invention described in claims and equivalent scope thereof simultaneously.
Claims (7)
1. a supervisory system for elevator, comprising:
Be arranged on the monitor camera in car; And
Central monitoring position, it obtains the image taken by this monitor camera via network, and monitors the state in above-mentioned car;
It is characterized in that, above-mentioned monitor camera comprises:
Parts of images extracting part, it, when arriving the time period preset, partly extracts the image of the position preset in above-mentioned car from photographic images;
State variation judging part, it is resolved the parts of images extracted by this parts of images extracting part, and judges the state variation of the position corresponding with this parts of images; And
Send control part, this parts of images, when being judged as state variation by this state variation judging part, is sent to above-mentioned central monitoring position via above-mentioned network by it.
2. the supervisory system of elevator according to claim 1, is characterized in that,
Above-mentioned parts of images extracting part, when arriving above-mentioned setting-up time section, judges whether the state in above-mentioned car meets specified requirements, when the conditions are satisfied, partly extracts the image of the position preset in above-mentioned car from photographic images.
3. the supervisory system of elevator according to claim 2, is characterized in that, above-mentioned condition comprises: be in unmanned state in above-mentioned car; The door of above-mentioned car is in pass door state; The light equipment be arranged in above-mentioned car is in illuminating state.
4. the supervisory system of elevator according to claim 3, is characterized in that, above-mentioned parts of images extracting part is resolved the image taken by above-mentioned monitor camera, and judges whether to meet above-mentioned condition.
5. the supervisory system of elevator according to claim 1, is characterized in that,
Above-mentioned state variation judging part is by comparing the benchmark image of the parts of images extracted by above-mentioned parts of images extracting part and the position corresponding with this parts of images the state variation judging this position.
6. the supervisory system of elevator according to claim 1, is characterized in that,
Also comprise: image processing part, it reduces the size of data of the image taken by above-mentioned monitor camera;
The general image having been carried out reducing process by above-mentioned image processing part is sent to above-mentioned central monitoring position via above-mentioned network by above-mentioned transmission control part when normal, and in above-mentioned setting-up time section, only when being judged as state variation by above-mentioned state variation judging part, the parts of images corresponding with this position is sent to above-mentioned central monitoring position via above-mentioned network.
7. the supervisory system of elevator according to claim 6, is characterized in that, makes the size of data of having been carried out the general image reducing process by above-mentioned image processing part consistent with the size of data of the parts of images extracted by above-mentioned parts of images extracting part.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP122611/2013 | 2013-06-11 | ||
| JP2013122611A JP5612168B1 (en) | 2013-06-11 | 2013-06-11 | Elevator monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104229574A true CN104229574A (en) | 2014-12-24 |
Family
ID=52139796
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310610618.5A Pending CN104229574A (en) | 2013-06-11 | 2013-11-26 | Elevator monitoring system |
Country Status (2)
| Country | Link |
|---|---|
| JP (1) | JP5612168B1 (en) |
| CN (1) | CN104229574A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10870556B2 (en) | 2017-12-12 | 2020-12-22 | Otis Elevator Company | Method and system for detecting elevator car operating panel condition |
| CN114803753A (en) * | 2021-01-21 | 2022-07-29 | 三菱电机株式会社 | Elevator control device and elevator system |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113015685B (en) * | 2018-12-11 | 2023-08-11 | 三菱电机楼宇解决方案株式会社 | Monitoring device for detecting contamination of a security camera of an elevator, determination device and elevator system |
| JP7307310B2 (en) * | 2019-02-27 | 2023-07-12 | ダイキン工業株式会社 | air conditioner |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006117336A (en) * | 2004-10-19 | 2006-05-11 | Mitsubishi Electric Corp | Elevator monitoring device |
| CN101024464A (en) * | 2001-09-28 | 2007-08-29 | 东芝电梯株式会社 | Remote monitoring system for elevator |
| JP2008087898A (en) * | 2006-09-29 | 2008-04-17 | Toshiba Elevator Co Ltd | Function variable type remote monitoring system and remote monitoring method for elevator |
| JP2011068440A (en) * | 2009-09-24 | 2011-04-07 | Toshiba Elevator Co Ltd | Elevator monitoring device, elevator monitoring method and elevator remote monitoring system |
| JP2011105415A (en) * | 2009-11-13 | 2011-06-02 | Mitsubishi Electric Corp | Elevator system |
| CN102616618A (en) * | 2012-03-27 | 2012-08-01 | 杭州优迈科技有限公司 | Elevator remote monitoring system based on 3G technology |
| JP2013071795A (en) * | 2011-09-27 | 2013-04-22 | Toshiba Elevator Co Ltd | Emergency light failure detection device of elevator |
-
2013
- 2013-06-11 JP JP2013122611A patent/JP5612168B1/en not_active Expired - Fee Related
- 2013-11-26 CN CN201310610618.5A patent/CN104229574A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101024464A (en) * | 2001-09-28 | 2007-08-29 | 东芝电梯株式会社 | Remote monitoring system for elevator |
| JP2006117336A (en) * | 2004-10-19 | 2006-05-11 | Mitsubishi Electric Corp | Elevator monitoring device |
| JP2008087898A (en) * | 2006-09-29 | 2008-04-17 | Toshiba Elevator Co Ltd | Function variable type remote monitoring system and remote monitoring method for elevator |
| JP2011068440A (en) * | 2009-09-24 | 2011-04-07 | Toshiba Elevator Co Ltd | Elevator monitoring device, elevator monitoring method and elevator remote monitoring system |
| JP2011105415A (en) * | 2009-11-13 | 2011-06-02 | Mitsubishi Electric Corp | Elevator system |
| JP2013071795A (en) * | 2011-09-27 | 2013-04-22 | Toshiba Elevator Co Ltd | Emergency light failure detection device of elevator |
| CN102616618A (en) * | 2012-03-27 | 2012-08-01 | 杭州优迈科技有限公司 | Elevator remote monitoring system based on 3G technology |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10870556B2 (en) | 2017-12-12 | 2020-12-22 | Otis Elevator Company | Method and system for detecting elevator car operating panel condition |
| CN114803753A (en) * | 2021-01-21 | 2022-07-29 | 三菱电机株式会社 | Elevator control device and elevator system |
| CN114803753B (en) * | 2021-01-21 | 2024-04-19 | 三菱电机株式会社 | Elevator control device and elevator system |
Also Published As
| Publication number | Publication date |
|---|---|
| JP5612168B1 (en) | 2014-10-22 |
| JP2014240312A (en) | 2014-12-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11597632B2 (en) | Image analytics for elevator maintenance | |
| JP2011068440A (en) | Elevator monitoring device, elevator monitoring method and elevator remote monitoring system | |
| CN102843822B (en) | Illumination apparatus | |
| JP4803376B2 (en) | Camera tampering detection method | |
| CN103771207B (en) | Lift car personnel checking system and method | |
| CN104229574A (en) | Elevator monitoring system | |
| CN102762479B (en) | Elevator device | |
| KR101804358B1 (en) | Equipment monitoring system using image analysis | |
| US9456146B2 (en) | Exposure control device, imaging device, image display device, and exposure control method | |
| JP2011011872A (en) | Failure detecting device for elevator | |
| WO2017034177A1 (en) | Enforcement system for curbing illegal parking and stopping by using images from different cameras, and control system including same | |
| KR101314633B1 (en) | System and method for monitering test of bio-toxicity | |
| CN104176581A (en) | Elevator lift car illumination diagnosis device | |
| JP6955584B2 (en) | Door image display system and monitor | |
| JP2016179904A (en) | Abnormality detection device for elevator power failure lamp | |
| JP2015178412A (en) | Elevator monitoring system | |
| KR20130130497A (en) | Helideck lighting diagnosis apparatus and method of the same | |
| JP2016179887A (en) | Elevator in-car monitoring device | |
| JP2005263421A (en) | Inspecting device of monitoring camera in elevator car | |
| KR101758008B1 (en) | System for real time monitoring video of subway in relation to fire detection | |
| KR20220028803A (en) | System and method for detecting leakage | |
| WO2013099368A1 (en) | Image recognition device, image recognition method, program, recording medium, and image recognition system | |
| JP5186973B2 (en) | Worker safety inspection device | |
| KR20170124231A (en) | Automatic tesing method for normal condition of a display device screen and system of the same | |
| JP5418635B2 (en) | Worker safety inspection device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20141224 |