CN110250757A - Intelligent compact shelf and its control method - Google Patents
Intelligent compact shelf and its control method Download PDFInfo
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- CN110250757A CN110250757A CN201910532034.8A CN201910532034A CN110250757A CN 110250757 A CN110250757 A CN 110250757A CN 201910532034 A CN201910532034 A CN 201910532034A CN 110250757 A CN110250757 A CN 110250757A
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- Prior art keywords
- passageway
- frame body
- image
- intensive frame
- intensive
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Classifications
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B53/00—Cabinets or racks having several sections one behind the other
- A47B53/02—Cabinet systems, e.g. consisting of cabinets arranged in a row with means to open or close passages between adjacent cabinets
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B63/00—Cabinets, racks or shelf units, specially adapted for storing books, documents, forms, or the like
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B97/00—Furniture or accessories for furniture, not provided for in other groups of this subclass
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B2220/00—General furniture construction, e.g. fittings
- A47B2220/0091—Electronic or electric devices
- A47B2220/0097—Remote control for furniture, e.g. tables or shelves
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- Warehouses Or Storage Devices (AREA)
Abstract
This application involves a kind of intelligent compact shelf and its control methods.The control method, comprising steps of object detection is carried out between the image for being formed by passageway the adjacent two intensive frame body of acquisition, whether to include target object in the determination passageway image；And it in response to including target object in the determination passageway image, generates and stops movement directive, the movement directive that stops is for stopping corresponding to the movement of the intensive frame body.By the image for acquiring the passageway between adjacent two intensive frame body, and object detection is carried out to the passageway image, whether to have target object in the passageway between the adjacent two intensive frame body of determination, in this way, improves detection accuracy and be effectively prevented the object in passageway and damaged by folder.
Description
Technical field
This application involves a kind of compact shelvings, relate more specifically to intelligent compact shelf and its control method.
Background technique
Compact shelving (also known as coarctation cabinet) is mainly used for the storage of archives material, security voucher etc., has secrecy closing, space
The advantages that utilization rate is high, access facilitates.With the development of compact shelving, purposes has been not limited solely to the storage of archives material,
More it is suitable for law court, procuratorate, bank, megastore, school, books money is stored in business unit's reference room, sample room etc.
The Novel storage equipment of material, archives material, archives financial affairs receipt, cargo.
With the development of technology, compact shelving develops electronic intelligence compact shelving by now from initial hand compact shelving.
Electronic intelligence compact shelving is a kind of intelligent intensive frame by software control hardware device, collects manual, automatically controls in one
Body, it is independent mutually, it is independent of each other.However, existing electronic intelligence compact shelving is when designing automatic control program, it is no comprehensive
Consider the feature of application scenarios in ground.
For example, after user opens the access of compact shelving completion archives material and leaves, in the passageway of corresponding compact shelving
Possible somebody or object exist, and people or object in passageway is caused to come to harm.Existing part electronic intelligence compact shelving passes through
Infrared detector is appropriate to solve the case where there are people in passageway installing on compact shelving, however object volume is usually smaller logical
Cross infrared detector it is often difficult to find.That is, the existing automatic control journey by infrared detector detection " object "
Sequence, in practical applications, the effect of application cannot be played.
It therefore, is existing for a kind of demand of novel intelligent compact shelf.
Summary of the invention
The application main purpose is the provision of a kind of intelligent compact shelf and its control method, close by acquiring adjacent two
Collect the image in the passageway between frame body, and object detection is carried out to the passageway image, with the mistake between the adjacent two intensive frame body of determination
Whether there is target object in road, in this way, improves detection accuracy.
The application another object is the provision of a kind of intelligent compact shelf and its control method, wherein adjacent when detecting
After having target object in passageway between two intensive frame bodies, stops the movement of corresponding intensive frame body and generate standby signal.
The application another object is the provision of a kind of intelligent compact shelf and its control method, wherein at intensive frame body bottom
Whether portion is additionally provided with pressure sensor, have object to touch to detect in the passageway between adjacent two intensive frame body, in this way
Mode improves detection accuracy.
The application another object is the provision of a kind of intelligent compact shelf and its control method, wherein in response to the pressure
Force snesor pressure value detected is more than preset threshold, determines that there are target objects in the passageway between adjacent two intensive frame body.
The application another object is the provision of a kind of intelligent compact shelf and its control method, wherein the intelligent compact
The detection of frame integrated image and pressure detecting two ways determine in the passageway between adjacent two intensive frame body to have target object, lead to
Such double check mechanism is crossed, security performance is promoted.
The application another object is the provision of a kind of intelligent compact shelf and its control method, wherein when image detection and
When any one testing result of pressure detecting has target object in the passageway between adjacent two intensive frame body, stop corresponding close
Collect the movement of frame body and generates standby signal.
In order to realize an above-mentioned at least purpose or other purposes or advantage, this application provides a kind of intelligent compact shelf, packets
It includes:
Multiple guide rails disposed in parallel；
The intensive frame body being movably arranged on the multiple guide rail, wherein each intensive frame body has multiple storage spaces,
Object is stored for storing；
Driving assembly set on the bottom of part or all of intensive frame body, wherein the driving component and the multiple guide rail phase
Cooperation, is moved on the guide rail for controlling the multiple intensive frame body；
Multiple images acquisition device, wherein each image collecting device is formed by passageway between corresponding to adjacent two intensive frame body,
For acquiring passageway image；
Controller, the controller are communicatively coupled with described image acquisition device, are used for:
Object detection is carried out to the passageway image, whether to include target object in the determination passageway image；And
In response to including target object in the determination passageway image, generates and stop movement directive, the stopping movement directive being used
In the movement for stopping the corresponding intensive frame body.
In the application one or more embodiment, described image acquisition device further includes motion detector, for detecting
It is mobile whether there is object in the visual field of described image acquisition device, also, detects object in response to the motion detector
Mobile, the controller starts corresponding described image acquisition device.
In the application one or more embodiment, the controller is also used to:
The passageway image and reference picture are compared, to obtain comparison result, wherein the reference picture is that corresponding passageway does not have
Passageway image when target object；And
Comparison result is inputted into trained neural network model, to obtain testing result, in the determination passageway image
It whether include target object.
In the application one or more embodiment, the neural network model is convolutional neural networks model.
In the application one or more embodiment, the intelligent compact shelf further includes being set to the intensive frame body bottom
Pressure sensor, wherein the controller is communicatively coupled with the pressure sensor, and is used for:
When being more than preset threshold in response to pressure value detected by the pressure sensor, generates and stop movement directive, it is described
Stop the movement that movement directive is used to stop corresponding to the intensive frame body.
In the application one or more embodiment, the intelligent compact shelf further includes set on the infrared of the intensive frame body
Detector, for detecting in the passageway between adjacent two intensive frame body whether have object, wherein the controller communicably connects
It is connected to the infrared detector, and is used for:
It detects there is object in the passageway between adjacent two intensive frame body in response to the infrared detector, generates and stop mobile life
It enables, the movement for stopping movement directive and being used to stop corresponding to the intensive frame body.
On the other hand according to the application, a kind of control method is also provided comprising step:
Object detection is carried out between the image for being formed by passageway the adjacent two intensive frame body of acquisition, with the determination passageway image
It whether include inside target object；And
In response to including target object in the determination passageway image, generates and stop movement directive, the stopping movement directive being used
In the movement for stopping the corresponding intensive frame body.
In the application one or more embodiment, between the image for being formed by passageway the adjacent two intensive frame body of acquisition
Object detection is carried out, whether to include target object in the determination passageway image, comprising:
The passageway image and reference picture are compared, to obtain comparison result, wherein the reference picture is that corresponding passageway does not have
Passageway image when target object；And
Comparison result is inputted into trained neural network model, to obtain testing result, in the determination passageway image
It whether include target object.
In the application one or more embodiment, the method also includes:
When being more than preset threshold in response to pressure value detected by pressure sensor, generates and stop movement directive, the stopping
Movement directive is used to stop corresponding to the movement of the intensive frame body, wherein the pressure sensor is set to the intensive frame body bottom
Portion.
In the application one or more embodiment, the neural network model is convolutional neural networks model.
In the application one or more embodiment, the method also includes:
It detects there is object in the passageway between adjacent two intensive frame body in response to infrared detector, generates and stop movement directive,
The movement for stopping movement directive and being used to stop corresponding to the intensive frame body.
By the understanding to subsequent description and attached drawing, further aim of the present invention and advantage will be fully demonstrated.
These and other objects of the invention, feature and advantage, by following detailed descriptions, drawings and claims are obtained
To fully demonstrate.
Detailed description of the invention
From the detailed description with reference to the accompanying drawing to the embodiment of the present invention, these and or other aspects of the invention and
Advantage will become clearer and be easier to understand, in which:
Fig. 1 illustrates the stereoscopic schematic diagrams according to the intelligent compact shelf of the application preferred embodiment.
Fig. 2 illustrates the structural schematic diagram of the driving assembly according to the application preferred embodiment.
Fig. 3 illustrates the axial schematic diagram of the driving component according to the application preferred embodiment.
Fig. 4 illustrate the control method of the intelligent compact shelf according to the application preferred embodiment flow diagram it
One.
Fig. 5 illustrate the control method of the intelligent compact shelf according to the application preferred embodiment flow diagram it
Two.
Specific embodiment
Term used in following description and claim and word are not limited to literal meaning, but only by the present inventor
The present invention can be understood and consistently understand by being used so that.Therefore, to those skilled in the art clearly only for explanation
Purpose rather than provide this hair for the limitation purpose of the present invention as defined in appended claims and their equivalent
Bright various embodiments are described below.
It is understood that term " one " is interpreted as " at least one " or " one or more ", i.e., in one embodiment,
The quantity of one element can be one, and in a further embodiment, the quantity of the element can be it is multiple, term " one " is no
It can be interpreted as the limitation to quantity.
Although for example the ordinal number of " first ", " second " etc. will be used to describe various assemblies, not limit those herein
Component.The term is only used for distinguishing a component and another component.For example, first assembly can be referred to as the second component, and same
Sample, the second component can also be referred to as first assembly, without departing from the introduction of inventive concept.Term as used herein " and/
Or " project listed any for including one or more associations and all combinations.
Term used herein is only used for describing the purpose of various embodiments and is not intended to limit.As used herein,
Singular is intended to also include plural form, makes an exception unless the context clearly dictates.Will further be understood that term " includes " and/or
" having " specifies depositing for the feature, number, step, operation, component, element or combinations thereof when being used in this specification
, and it is not excluded for the presence or additional of one or more of the other feature, number, step, operation, component, element or its group.
Term used herein including technical and scientific term has and the normally understood art of those skilled in the art
The identical meaning of language, only if it were not for being defined differently than the term.It should be understood that the term tool limited in usually used dictionary
Have and the consistent meaning of the meaning of term in the prior art.
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:
Schematic intelligent compact shelf
As shown in Figure 1-Figure 3, it is elucidated with according to the intelligent compact shelf of the application preferred embodiment, wherein the intelligent compact shelf
Suitable for the storage of the storage object such as archives material, security voucher, it is excellent to have that secrecy closing, space utilization rate are high, access facilitates etc.
Point.
As shown in Figure 1, include multiple intensive frame bodies 10 according to the compact shelving of the embodiment of the present application, driving assembly 20 and lead
Rail 30, wherein the intensive frame body 10 is installed on the guide rail 30 to arrange mode arranged side by side, also, in the driving component
It is mutually removable between the intensive frame body 10 under 20 drive control, to switch between storage position and open position.Work as position
It is mutually closely sealed between each intensive frame body 10 when bit of storage, to form closed storage environment；When switching to open position
When, the intensive frame body 10 can single-row or multiple row walk on the guide rail 30 together, to open corresponding intensive frame body 10.
Particularly, the driving component may be disposed at some or all of intensive frame body, wherein the institute equipped with the driving component
Stating intensive frame body can be moved along the guide rail, and the intensive frame body for being not provided with the driving component then cannot be in institute
It states and is moved on guide rail.
As shown in Figure 1, each intensive frame body 10 includes chassis 11, more root posts 12, muti-piece side plate 13, muti-piece
Shelf 14, top plate 15 and other necessary components (unlabeled in figure), wherein the chassis 11 is installed on guide rail 20, more
Side plate 13 described in column 12 and muti-piece described in root is respectively arranged in the chassis 11 and between each other interval setting, muti-piece institute
It states shelf 14 to be installed between adjacent two root posts 12 or adjacent columns 12 and side plate 13, to pass through the shelf 14
It defines with the column 12 or the shelf 14, the column 12 and the side plate 13 and to form multiple storage spaces
100, for storing object to be stored.Correspondingly, in the embodiment of the present application, the intensive frame body 10 further includes being set to be located at two
The door-plate 17 of the compact shelving frame body of edge columns, to seal the storage space 100.
As shown in Figures 2 and 3, in the embodiment of the present application, driving assembly 20 include driving motor 21, driving gear 24,
Chain 26, rotation axis 22, driven gear 25 and multiple traveling wheels 23, multiple traveling wheels 23 are detachably connected to rotation axis 22
On, the axial direction of rotation axis 22 can be rolled perpendicular to the moving direction of the guide rail 30, multiple traveling wheels 23 with the guide rail 30
Cooperation can drive rotation axis 22 mobile.Driving gear 24 can be fixedly connected with the motor shaft of driving motor 21, when driving motor 21
When starting, the motor shaft of driving motor 21 can drive driving gear 24 to be rotated with identical angular speed.Driven gear 25 can
It is fixedly connected with rotation axis 22, will drive rotation axis 22 when driven gear 25 rotates and rotated with identical angular speed.Chain
One end of item 26 can be set on driving gear 24, and the other end of chain 26 can be set on driven gear 25.Work as driving motor
When 21 starting, traveling wheel 23 and the guide rail 30 roll and cooperate, and the motor shaft of driving motor 21 drives driving gear 24 to revolve together
Turn, driving gear 24 is attached by chain 26 and driven gear 25 and driven gear 25 is driven to rotate, and driven gear 25 will
Rotation axis 22 is driven to rotate together.23 relative rotation of multiple traveling wheels connecting with the rotation axis 22 is to realize compact shelving described
It is moved on guide rail 30.
In the embodiment of the present application, since the both ends of chain 26 are separately connected driving gear 24 and driven gear 25, actively
Gear 24 and driven gear 25 are in same linear velocity.In order to improve the drive efficiency of driving assembly 20, driving gear 24
Radial dimension can be greater than the radial dimension of driven gear 25.
In order to improve the practicability of intelligent compact shelf and avoid that driving assembly 20 cannot be opened in power blackout situation, intensively
Frame body 10 further includes hand-operated wheel 16 and manual shaft (not shown), manual driving gear (not shown), driven manually
Gear (not shown) and manual traveling wheel (not shown), each structure and the driving assembly 20 of hand-operated wheel 16
Structure is similar.Hand-operated wheel 16 may be provided at the side of intensive frame body 10, hand-operated wheel 16 and manual shaft transmission connection, when shaking
Manual shaft rotation is driven when rolled round 16 of starting.It may be provided with manual driving gear in manual shaft, manual driving gear can fix peace
In manual shaft.It may be provided with manual driven gear in rotation axis 22, manual driven gear can be fixed at rotation axis 22
On.Manual traveling wheel is removably mounted in rotation axis 22, and manual traveling wheel is vacantly arranged on the guide rail 30 and neighbouring
Manual driven gear.Manual driving gear can be connect with manual driven gear by chain drive.One end of chain can be set in
On manual driving gear, the other end of chain can be set on manual driven gear.When shaking hand-operated wheel 16, walk manually
Wheel is rolled with the guide rail 30 to be cooperated, and hand-operated wheel 16 drives manual shaft to be rotated with manual driving gear, manual driving tooth
Wheel is attached by chain and manual driven gear and manual driven gear is driven to rotate, and manual driven gear will drive and rotate
Axis 22 rotates together.The multiple manual traveling wheel relative rotation connecting with the rotation axis 22 are to realize compact shelving in the guide rail
It is moved on 30.
In order to improve the stationarity that intensive frame body 10 moves on the guide rail 30, driving assembly 20 may include two
Rotation axis 22, two rotation axis 22 are parallel to each other and pre-determined distance is spaced on the moving direction of the guide rail 30, two rotations
Axis 22 may be provided at the position of the two sides frame of bottom.Movement of the axial direction of two rotation axis 22 all perpendicular to the guide rail 30
Direction is provided with multiple traveling wheels 23 matched with multiple guide rails 30, driving motor 21 and two in each rotation axis 22
A rotation axis 22 is sequentially connected.
It is noted that in other embodiments, two rotation axis 22 can also the bottom arranged in a crossed manner in intensive frame body 10
Portion, the axial direction of two rotation axis 22 all favour the moving direction of the guide rail 30, be provided in each rotation axis 22 it is multiple with
Multiple guide rails 30 traveling wheel 23 matched one by one, driving motor 21 and two rotation axis 22 are sequentially connected.
As previously mentioned, in the application process of the intelligent compact shelf, user complete the access of archives material and from
After opening, possible somebody or object exist in the passageway of corresponding intensive frame body 10, since object volume is usually smaller by existing
The infrared detector 183 of intelligent compact shelf can not often detect, cause object in passageway by destruction (for example, by
Folder damage etc.).
Correspondingly, in the embodiment of the present application, the intelligent compact shelf further includes multiple images acquisition device 181, and
The controller 18 being communicatively coupled with described image acquisition device 181, wherein each image collecting device 181 corresponds to
It is formed by passageway between adjacent two intensive frame body 10, for acquiring passageway image.Receiving described image acquisition device 181
After provided passageway image, the controller 18 is based on pre-set programs and is analyzed and processed to the passageway image, with determination
It whether include target object in the passageway image.Also, it is described in response to including target object in the determination passageway image
Controller 18, which generates, stops movement directive, the movement for stopping movement directive and being used to stop corresponding to the intensive frame body 10.
In this way, detect in the passageway of corresponding compact shelving whether have target object by image detecting method, can be improved detection accuracy with
The object being effectively prevented in passageway is destroyed.
More specifically, in the embodiment of the present application, described image detection process includes: to compare the passageway image first
And reference picture, to obtain comparison result, wherein the reference picture is passageway figure when corresponding passageway does not have target object
Picture.It would be appreciated that the comparing result between the passageway image and the reference picture characterize in passageway whether have it is extra
Object exist.Further, comparison result is inputted into trained neural network model, to obtain testing result, wherein
Just can determine in the passageway image whether include target object by the testing result.
It is noted that can be improved the precision of recongnition of objects by neural network model.Also, in the application
In embodiment, the neural network model is convolutional neural networks model, wherein for training the image of the neural network to be
Image data with markup information, i.e., the training by way of supervised learning of the described neural network model form.Also it is worth
One is mentioned that, in the embodiment of the present application, the target object in passageway includes but is not limited to be stored in depositing in intensive frame body 10
The article that storing or user accidentally leave, in this regard, not limited to by the application.
In order to reduce the energy consumption of described image acquisition device 181, in the embodiment of the present application, described image acquisition device
181 further include motion detector, and it is mobile whether to have object in the visual field for detecting described image acquisition device 181.And
And detecting that object is mobile in response to the motion detector 1811, the controller 18 starts corresponding described image and adopts
Acquisition means 181.That is, in the embodiment of the present application, there are two types of operating modes for the tool of described image acquisition device 181: stopping
Dormancy state and working condition, wherein when the motion detector 1811 does not detect that object is mobile, described image acquisition
Device 181 keeps dormant state to reduce energy consumption.
It is noted that in the embodiment of the present application, the camera shooting of described image acquisition device 181 can be implemented as and/
Or including any imaging sensor or equipment, for acquiring passageway image.Also, described image acquisition device 181 can store
A certain amount of image data is in data buffer zone, for example, (it can be stored certain within a preset period of time for cyclic buffer
The image data of amount).Network or can have by wireless communication between described image acquisition device 181 and the controller 18
Line communication network realizes the connection that can be communicated, and here, the cordless communication network may include but be not limited to satellite communication network, bee
Nest communication network, wireless Internet communication network (for example, WiFi) and twireless radio-frequency communication network etc..
Further, in the application implementation, the intelligent compact shelf further includes being set to intensive 10 bottom of frame body
Pressure sensor 182, wherein the pressure sensor 182 is communicatively coupled with the controller 18.Wherein, when described
When pressure value detected by pressure sensor 182 is more than preset threshold, the controller 18, which generates, stops movement directive, uses
In the movement for stopping the corresponding intensive frame body 10.In this way, still can ensure that even if image detection fails by pressure detecting
Object in road is not damaged by folder, to promote the security performance of the compact shelving.In other words, the intelligent compact shelf integrated image inspection
It surveys and pressure detecting two ways determines in the passageway between adjacent two intensive frame body 10 to have target object, pass through dual inspection
Survey mechanism promotes security performance.
It is noted that in the embodiment of the present application, the type selecting of the pressure sensor is not limited to by the application,
It includes but is not limited to: piezoresistive pressure sensor, ceramic pressure sensor, diffusion silicon pressure sensor, sapphire pressure pass
Sensor, piezoelectric pressure indicator etc..
Further, in the embodiment of the present application, the intelligent compact shelf further includes set on the red of the intensive frame body 10
External detector 183, for detecting in the passageway between adjacent two intensive frame body 10 whether have object, wherein the infrared spy
It surveys device 183 and is communicatively coupled with the controller 18.Wherein, when the infrared detector 183 detects that adjacent two is intensive
There is object in passageway between frame body 10, the controller 18, which generates, stops movement directive, described intensive for stopping corresponding to
The movement of frame body 10.In this way, being formed by infrared acquisition additional together even if image detection and pressure detecting all break down
Protection mechanism, further to promote the security performance of the compact shelving.That is, in the embodiment of the present application, working as figure
As detection, pressure detecting or infrared acquisition any one testing result have in the passageway between adjacent two intensive frame body 10
When target object, stops the movement of corresponding intensive frame body 10 and generate standby signal.
To sum up, the intelligent compact shelf based on the embodiment of the present application is elucidated with, and passes through multiple means (image detection, pressure
Detection and infrared acquisition) it detects in the passageway of adjacent two intensive frame body 10 with the presence or absence of object, it is damaged, is promoted with preventing it from being pressed from both sides
The security performance of the compact shelving.
Schematic control scheme
Fig. 4 illustrates one of the flow diagram of control method of the intelligent compact shelf according to the application preferred embodiment.
As shown in figure 4, the application also provides a kind of control method comprising step:
S110 carries out object detection to the image for being formed by passageway the adjacent two intensive frame body of acquisition, with the determination mistake
It whether include target object in road image；And
S120 is generated in response to including target object in the determination passageway image and is stopped movement directive, the stopping is mobile to order
Enable the movement for stopping corresponding to the intensive frame body.
Fig. 5 illustrate the control method of the intelligent compact shelf according to the application preferred embodiment flow diagram it
Two, as shown in figure 5, in above-mentioned control method, in the application one or more embodiment, to adjacent two compact shelving of acquisition
Whether the image that passageway is formed by between body carries out object detection, to include target object in the determination passageway image, comprising:
S210 compares the passageway image and reference picture, to obtain comparison result, wherein the reference picture is to correspond to
Road does not have passageway image when target object；And
Comparison result is inputted trained neural network model by S220, to obtain testing result, with the determination passageway figure
As interior whether including target object.
As shown in figure 4, in above-mentioned control method, in the application one or more embodiment, the method also includes:
S130 when being more than preset threshold in response to pressure value detected by pressure sensor, is generated and is stopped movement directive, described
Stop the movement that movement directive is used to stop corresponding to the intensive frame body, wherein the pressure sensor is set to the compact shelving
Body bottom.
As shown in figure 4, in above-mentioned control method, in the application one or more embodiment, the neural network mould
Type is convolutional neural networks model.
In above-mentioned control method, in the application one or more embodiment, the method also includes:
S140 detects there is object in the passageway between adjacent two intensive frame body in response to infrared detector, generates and stops movement
Order, the movement for stopping movement directive and being used to stop corresponding to the intensive frame body.
It should be understood by those skilled in the art that foregoing description and the embodiment of the present invention shown in the drawings are only used as illustrating
And it is not intended to limit the present invention.The purpose of the present invention has been fully and effectively achieved.Function and structural principle of the invention exists
It shows and illustrates in embodiment, under without departing from the principle, embodiments of the present invention can have any deformation or modification.
Claims (10)
1. a kind of intelligent compact shelf characterized by comprising
Multiple guide rails disposed in parallel；
The intensive frame body being movably arranged on the multiple guide rail, wherein each intensive frame body has multiple storage spaces,
Object is stored for storing；
Driving assembly set on the bottom of part or all of intensive frame body, wherein the driving component and the multiple guide rail phase
Cooperation, is moved on the guide rail for controlling the multiple intensive frame body；
Multiple images acquisition device, wherein each image collecting device is formed by passageway between corresponding to adjacent two intensive frame body,
For acquiring passageway image；And
Controller, the controller are communicatively coupled with described image acquisition device, are used for:
Object detection is carried out to the passageway image, whether to include target object in the determination passageway image；And
In response to including target object in the determination passageway image, generates and stop movement directive, the stopping movement directive being used
In the movement for stopping the corresponding intensive frame body.
2. intelligent compact shelf according to claim 1, wherein described image acquisition device further includes motion detector, is used
It is mobile in whether there being object in the visual field of detection described image acquisition device, also, detected in response to the motion detector
Mobile to object, the controller starts corresponding described image acquisition device.
3. intelligent compact shelf according to claim 1 or 2, wherein the controller is also used to:
The passageway image and reference picture are compared, to obtain comparison result, wherein the reference picture is that corresponding passageway does not have
Passageway image when target object；And
Comparison result is inputted into trained neural network model, to obtain testing result, in the determination passageway image
It whether include target object.
4. intelligent compact shelf according to claim 3, wherein the neural network model is convolutional neural networks model.
5. intelligent compact shelf according to claim 1 or 2, wherein the intelligent compact shelf further includes set on described intensive
The pressure sensor of frame body bottom, wherein the controller is communicatively coupled with the pressure sensor, and is used for:
When being more than preset threshold in response to pressure value detected by the pressure sensor, generates and stop movement directive, it is described
Stop the movement that movement directive is used to stop corresponding to the intensive frame body.
6. intelligent compact shelf according to claim 1 or 2, wherein the intelligent compact shelf further includes set on described intensive
The infrared detector of frame body, for detecting in the passageway between adjacent two intensive frame body whether have object, wherein the controller
It is communicatively coupled with the infrared detector, and is used for:
It detects there is object in the passageway between adjacent two intensive frame body in response to the infrared detector, generates and stop mobile life
It enables, the movement for stopping movement directive and being used to stop corresponding to the intensive frame body.
7. a kind of control method, which is characterized in that comprising steps of
Object detection is carried out between the image for being formed by passageway the adjacent two intensive frame body of acquisition, with the determination passageway image
It whether include inside target object；And
In response to including target object in the determination passageway image, generates and stop movement directive, the stopping movement directive being used
In the movement for stopping the corresponding intensive frame body.
8. control method according to claim 7, wherein be formed by passageway to the adjacent two intensive frame body of acquisition
Whether image carries out object detection, to include target object in the determination passageway image, comprising:
The passageway image and reference picture are compared, to obtain comparison result, wherein the reference picture is that corresponding passageway does not have
Passageway image when target object；And
Comparison result is inputted into trained neural network model, to obtain testing result, in the determination passageway image
It whether include target object.
9. control method according to claim 7, further includes:
When being more than preset threshold in response to pressure value detected by pressure sensor, generates and stop movement directive, the stopping
Movement directive is used to stop corresponding to the movement of the intensive frame body, wherein the pressure sensor is set to the intensive frame body bottom
Portion.
10. control method according to claim 7, further includes:
It detects there is object in the passageway between adjacent two intensive frame body in response to infrared detector, generates and stop movement directive,
The movement for stopping movement directive and being used to stop corresponding to the intensive frame body.
Priority Applications (1)
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111685494A (en) * | 2020-06-16 | 2020-09-22 | 江西阳光安全设备集团有限公司 | Fingerprint unblock is closed intelligent intensive regularly |
| CN112075776A (en) * | 2020-09-12 | 2020-12-15 | 黄振海 | Intensive cabinet safety control method and system based on artificial intelligence |
| CN114451681A (en) * | 2021-01-19 | 2022-05-10 | 江西阳光安全设备集团有限公司 | Intelligent layer-selecting compact shelf |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204838574U (en) * | 2015-07-20 | 2015-12-09 | 苏州市永固金属制品有限公司 | Multiple protection intelligent mobile rack |
| WO2016086256A1 (en) * | 2014-12-05 | 2016-06-09 | Glidestore Freetrack Pty Ltd | Mobile shelving system with releasably coupleable rows |
| CN106128007A (en) * | 2016-08-26 | 2016-11-16 | 宁波圣达精工智能科技有限公司 | Intelligent compact shelf controls guard system |
| CN108158234A (en) * | 2017-12-29 | 2018-06-15 | 广州翔特钢艺办公设备有限公司 | Intelligent compact shelf |
| CN108833756A (en) * | 2018-07-05 | 2018-11-16 | 安徽省特意达软件开发有限公司 | A kind of outdoor energy-saving monitoring camera |
-
2019
- 2019-06-19 CN CN201910532034.8A patent/CN110250757A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016086256A1 (en) * | 2014-12-05 | 2016-06-09 | Glidestore Freetrack Pty Ltd | Mobile shelving system with releasably coupleable rows |
| CN204838574U (en) * | 2015-07-20 | 2015-12-09 | 苏州市永固金属制品有限公司 | Multiple protection intelligent mobile rack |
| CN106128007A (en) * | 2016-08-26 | 2016-11-16 | 宁波圣达精工智能科技有限公司 | Intelligent compact shelf controls guard system |
| CN108158234A (en) * | 2017-12-29 | 2018-06-15 | 广州翔特钢艺办公设备有限公司 | Intelligent compact shelf |
| CN108833756A (en) * | 2018-07-05 | 2018-11-16 | 安徽省特意达软件开发有限公司 | A kind of outdoor energy-saving monitoring camera |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111685494A (en) * | 2020-06-16 | 2020-09-22 | 江西阳光安全设备集团有限公司 | Fingerprint unblock is closed intelligent intensive regularly |
| CN112075776A (en) * | 2020-09-12 | 2020-12-15 | 黄振海 | Intensive cabinet safety control method and system based on artificial intelligence |
| CN114451681A (en) * | 2021-01-19 | 2022-05-10 | 江西阳光安全设备集团有限公司 | Intelligent layer-selecting compact shelf |
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Application publication date: 20190920 |