CN207817780U - A kind of logistics end storage system based on Internet of Things - Google Patents
A kind of logistics end storage system based on Internet of Things Download PDFInfo
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- CN207817780U CN207817780U CN201820247899.0U CN201820247899U CN207817780U CN 207817780 U CN207817780 U CN 207817780U CN 201820247899 U CN201820247899 U CN 201820247899U CN 207817780 U CN207817780 U CN 207817780U
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Abstract
The utility model discloses a kind of logistics end storage system based on Internet of Things, including Internet of things system, Message Entry System, intelligent sorting system, storage system, jettison system and pickup system, described information input system, intelligent sorting system, storage system, jettison system is connected with Internet of things system respectively with pickup system, further include the APP modules that data interaction is carried out with Internet of things system, the jettison system is between intelligent sorting system and storage system, the pickup system is located at storage system far from jettison system side, the utility model solves the problems, such as last one kilometer, breach time restriction, user can carry out pickup at any time；Height limitation is breached, user can achieve the effect that convenient access in suitable height pickup；Space limitation is breached, package is stored in different storage boxes, can rationally utilize space by size；Rate limitation is breached, what courier can be quickly puts into multiple packages in storage system.
Description
Technical field
The utility model is related to a kind of logistics storage system, more particularly to a kind of logistics end storing system based on Internet of Things
System.
Background technology
End service is the important link of Courier Service, is the important embodiment that the common people, serve the people are benefited in the development of express delivery industry.
And being skyrocketed through with Chinese express delivery amount, end service scarce capacity, service quality is not high, Staff of Employees is unstable, base
Layer site amount is received phenomena such as increasing mismatch and is shown in some areas, and the weight for influencing industry upgrading synergy development is had become
Want bottleneck, it would be highly desirable to which system research solves.And largely based on information-based, the logistics end storage system based on data resource
On can solve the problems, such as final word support, secondly, at home the higher storage system of popularity be exactly along rich, Shen Tong, rhythm reach etc.
The intelligent express delivery storage system of " the rich nest " of R ＆ D Cooperation.However the disadvantage that function is not perfect, type is not various is remained,
It can not accomplish personalized customization.The utility model can largely make up defect functionally, pass through a variety of intelligence
Pattern gives the best user experience of user, and the utility model is just catering to the change of delivery industry needs so that intelligence is deposited
Storage system can efficiently and accurately complete signing for for quick despatch, and time configuration is flexible, efficient, at low cost and safe
Property it is high, also solve the problems, such as that client does not have the time to take express delivery in time.This is more intelligent, more humane compared to traditional approach.
Utility model content
The technical issues of the utility model solves is to provide one kind and intelligent memory system is efficiently and accurately completed
Quick despatch is signed for, and the time configures a kind of logistics end based on Internet of Things flexible, efficient, at low cost and safe
Hold storage system.
Technical solution adopted by the utility model to solve its technical problems is：A kind of logistics end storage based on Internet of Things
Object system, including Internet of things system, the Internet of things system include control module and memory module, Message Entry System, intelligence
Sorting system, storage system, jettison system and pickup system, described information input system, intelligent sorting system, storage system,
Jettison system is connected with Internet of things system respectively with pickup system, further includes the APP moulds that data interaction is carried out with Internet of things system
Block, for the jettison system between intelligent sorting system and storage system, the pickup system is located at storage system far from throwing
Place system side.
It is further：Described information input system includes for scanning the multiple sides for wrapping up multi-panel information and carrying out typing
To barcode scanning read sensor, and data are passed to Internet of things system, what the control module of the Internet of things system automatically generated
Package number, user information, the package title of typing, and data are stored in memory module.
It is further：The storage system, which includes multilayer, has different size of storage box, is printed on each storage box
Quick Response Code is numbered to the babinet, every layer of storage box, which is fixed on, to be surrounded on the chain of rotation, the jettison system packet
It includes for that will include the package lifting gear for being transported to different layers, is provided with and can move up and down on the package lifting gear
The first package placing box, further include driving first the first rotating device for being rotated of package placing box, the storage system
On be additionally provided with Quick Response Code read-write sensor for scanning storage box Quick Response Code, the Quick Response Code read-write sensor, which is located at, launches
At system, when the scanning of Quick Response Code read-write sensor is moved to corresponding storage box at jettison system, chain stops operating, and makes
Must wrap up can be devoted in corresponding storage box.
It is further：The intelligent sorting system includes drain hole, is set between the drain hole and package lifting gear
It is equipped with conveyer belt, the conveyer belt side is provided with light sensing device, and the light sensing device is arranged by multi-panel dot matrix
Laser emitter and corresponding light receiver device constituted, the light sensing device is connect with Internet of things system, institute
It includes the mechanical arm and pickup lifting gear for driving storage box to overturn being arranged on the inside of chain to state pickup system, described to take
It is provided with the second package placing box that can be moved up and down on part lifting gear, is provided between the storage box and chain multiple
Position spring, the pickup lifting gear outside are provided with electronic lock decoding system, the electronic lock decoding system and Internet of Things system
System connection.
It is further：Electronic lock decoding system include the ciphering two-dimension code generating means being arranged at material taking mouth,
Voice print identification device and face identification device are stored with the voiceprint knead dough of user in the memory module of the Internet of things system
Portion's information, the ciphering two-dimension code generating means, voice print identification device and face identification device respectively with APP moulds described in Internet of Things
Block includes courier's unit, subscriber unit and administrator's unit, and the subscriber unit includes pickup unit, in the pickup unit
It is provided with Quick Response Code decryption recognition unit.
It is further：Further include eye level measurement module, the material taking mouth has multiple, the multiple material taking mouth difference
Positioned at different height, the eye level measurement module includes vision camera, and the vision camera is used for entire human body
Profile is shot, and is modeled to the static scene stablized in video using mixed Gauss model, and human body is divided from scene
It separates out and, then extract the peak of human body contour outline as head feature point, minimum point is step characteristic point, two step features
As intersection point point, specific algorithm is as follows at the midpoint of point：If homogeneous coordinates of the human body crown point under world coordinate system are Mt=(X,
Y,Z,1)T, therefore MtIntersection point point coordinates on the ground is Mf=(X, Y, 0,1)T, MfPicture point meetH in formula is then known as homography matrix, is 3 × 3 invertible matrix, when homography matrix H and picture point
After knowing, coordinate components X, Y can be acquired, that is, picture point M is determinedfPosition under world coordinate system, then projected by video camera
Matrix, according to formula WhereinWherein R is spin matrix, and t is translation vector,
(Xω,Yω,Zω,1)TIt is the flat coordinate at space any point, (X, Y, 1)TIt is the secondly coordinate of its corresponding picture point.
fu, fvIt is the focal length horizontally and vertically on direction respectively, s is obliquity factor, (u0,vo)TIt is principal point, is acquired according to above-mentioned formula
Z is human height.
It is further：The subscriber unit further includes big data correlation rule commending system, the big data association rule
Then commending system is used to carry out excavating search candidate rule to the package data of user, predicts dependent merchandise, its step are as follows：Profit
Model is established with FP-Growth algorithms, in setting minimum support threshold value min-support and minimal confidence threshold min-
Frequent Pattern Mining is carried out after confidence, generates frequent item set, further generates correlation rule after screening, finally with promotion
Complementary indexs of the lift as confidence level is spent, to ensure the reliability of rule；
Wherein：Support and confidence level are used to indicate that the intensity of correlation rule, support S, S are used for data-oriented collection
Frequent degree：
Confidence level is C, the frequent degree that Y occurs in the affairs comprising X：
Promotion degree is L, and L reflects the correlation of A and B in correlation rule,：If promotion degree>1
And it is higher show that positive correlation is higher, promotion degree<1 and it is lower show that negative correlation is higher, promotion degree=1 shows that A is mutually only with B
It is vertical, without correlation；
Wherein, X, Y represent two package things, and σ (x ∪ y) indicates that the support counting of item collection { X, Y }, N indicate affairs
Sum, σ (x) indicate the support counting of item collection X, and P (Y | X) is indicated containing the probability containing Y simultaneously under conditions of X, P (Y) table
Show without the but probability containing Y under conditions of X.
It is further：The subscriber unit further includes personalized recommendation system, and the personalized recommendation system further includes
Similarity calculation module, the similarity calculation module include using collaborative filtering Memory-based based on user user-
Base and neighbor algorithm based on project item-based carry out cosine similarity calculating, the specific steps are：
Step 1：Traverse user package data concentrates each commodity,
Step 2：From these commodity, the purchase user of each commodity is found,
Step 3：From these users, other commodity of each user's purchase are found,
Step 4：Other commodity for recording user purchase, as the candidate neighbor of the commodity,
Step 5：It is traversed after neighborhood determination, calculates the similarity of neighbours two-by-two；
Wherein, if product i and product j, using the scoring of commodity as a vector, this vector is that all users are directed to quotient
The scoring of product i, the similarity between two commodity, is obtained by calculating the angle between the two commodity vectors, specific public
Formula is as follows：
U in formulaijIndicate the set of the user of all scored product i and product j, Ri,uIndicate user u to product i's
Scoring, Rj,uIndicate scorings of the user u to product j.
The utility model has the beneficial effects that：It solves the problems, such as last one kilometer, breaches time restriction, user can be with
Pickup is carried out at any time；Height limitation is breached, user can reach the effect of convenient access in suitable height pickup
Fruit；Space limitation is breached, package is stored in different storage boxes, can rationally utilize space by size；Rate limitation is breached,
Courier can be quickly will multiple packages put into storage system in.Ensure that the information security of user, Quick Response Code use RSA＆
MD5 multilayer nest encryption technologies so that the shopping information of user will not leak, while ensure that the anti-lost of package misplaces, and use
Secondary encryption technology provides diversification multi-faceted technology：Two-dimensional code scanning, recognition of face, Application on Voiceprint Recognition are selected for user,
Carry out authentication." internet+" express delivery is promoted, using the much informations skill such as mobile interchange, Internet of Things, big data, cloud computing
Art, optimization service network layout, promotes operation management efficiency, expands cooperative development space, push service mode to change, further
Perfect information operation platform realizes the personalized customization of user.
Description of the drawings
Fig. 1 is storage system schematic diagram.
Fig. 2 is that storage system is electrically connected schematic diagram.
Fig. 3 is storage system process for using figure.
In figure label for：Storage box 1, chain 2, first wrap up placing box 3, package lifting gear 4, second wraps up placing box
5, pickup lifting gear 6.
Specific implementation mode
The utility model is further illustrated with reference to the accompanying drawings and detailed description.
A kind of logistics end storage system based on Internet of Things as shown in Figure 1 to Figure 3, including it is Internet of things system, described
Internet of things system includes control module and memory module, Message Entry System, intelligent sorting system, storage system, jettison system
With pickup system, described information input system, intelligent sorting system, storage system, jettison system and pickup system are respectively and object
Networked system connects, and further includes the APP modules that data interaction is carried out with Internet of things system, and the jettison system is located at intelligent sorting
Between system and storage system, the pickup system is located at storage system far from jettison system side, when there is package, express delivery
Member carries out depositing part, and package is carried out data input while and Internet of Things by package by Message Entry System, intelligent sorting system one by one
Net system carries out information exchange, while by package distribution to storage system, package is thrown to storage system by jettison system
The particular locations of system send out pickup signal to Internet of things system in pickup, then by APP modules, are carried out by pickup system
Pickup operates, and such structure can efficiently and accurately complete signing for for quick despatch, and the time configures flexible, efficient, cost
It is low and safe, also solve the problems, such as that client does not have the time to take express delivery in time.
Particularly, described information input system includes for scanning the multiple directions wrapped up multi-panel information and carry out typing
Barcode scanning read sensor, and data are passed to Internet of things system, it is ensured that no matter express delivery single card, can will be in movement arbitrarily at which
The package number that the control module of Internet of things system automatically generates described in the data input of the package of placement, user's letter of typing
Breath, package title, and data are stored in memory module, the storage system, which includes multilayer, has different size of storage box,
It is printed on each storage box and Quick Response Code is numbered to the babinet, every layer of storage box is fixed on the chain 2 that can surround rotation
On, the chain 2 provides rotational power source by the gear at both ends, and the jettison system includes for that will include being transported to difference
The package lifting gear 4 of layer, it is described to wrap up the first package placing box 3 that is provided with and move up and down on lifting gear 4, also
Including the first rotating device that driving the first package placing box 3 is rotated, it is additionally provided in the storage system for scanning
The Quick Response Code read-write sensor of 1 Quick Response Code of storage box, the Quick Response Code read-write sensor are located at jettison system, when Quick Response Code is read
When writing sensor scanning is moved to corresponding storage box 1 at jettison system, chain 2 stops operating so that package can be launched
Into corresponding storage box 1.The intelligent sorting system includes drain hole, is set between the drain hole and package lifting gear 4
Be equipped with conveyer belt, the conveyer belt side is provided with Message Entry System and light sensing device, the light sensing device by
The laser emitter and corresponding light receiver device of multi-panel dot matrix arrangement are constituted, the light sensing device and Internet of Things
Net system connects, and the pickup system includes the mechanical arm for being used to that storage box to be driven to overturn and the pickup being arranged in 2 inside of chain
Lifting gear 6 is provided with the second package placing box 5 that can be moved up and down, the storage box on the pickup lifting gear 6
Resetting spring is provided between chain 2,6 outside of the pickup lifting gear is provided with electronic lock decoding system, the electronics
Lock decoding system is connect with Internet of things system；
Above-mentioned concrete operations mode is：When existing, when wrapping up, courier carries out depositing part, will largely wrap up and put into blowing together
Mouthful place, the package onwards transmission in transmission belt successively so that package is one by one by express delivery list Message Entry System, and beginning and object
Networked system interacts.Read the multi-party Surface scan package information of sensor with Quick Response Code and carry out typing, it is ensured that no matter express delivery
Single card, can be by the data input for the package arbitrarily placed in movement at which.Data are passed into typing Internet of Things through agreement simultaneously
Net system, and the package automatically generated is numbered, user information, the package title of typing are stored in Internet of things system, work as package
After data input, package is transmitted intelligent sorting system by conveyer belt, and starts to interact with Internet of things system, by multi-panel
The light sensing sensor that the laser emitter and corresponding light receiver device of dot matrix arrangement are constituted starts to act on.
When package is by horizontal light, part of laser beam is blocked by it, by detecting the amount of beam for being wrapped and blocking, estimates description of parcels
Size, then data are stored in database, it wraps up after intelligent sorting system, there is Internet of things system to be allocated to package and deposit
Storage tank 1, package storage location will be sent to jettison system and storage system by Internet of Things, when entering jettison system, the first rotation
Rotary device driving the first package placing box 3 is rotated to conveyer belt direction so that and package can be put into the first package placing box 3,
To include again rising to the specified number of plies by jacking system, the chain 2 in storage system drives storage box 1 to rotate, when Quick Response Code is read and write
When sensor scanning is moved to corresponding storage box 1 at jettison system, chain 2 stops operating so that package can be devoted to
In corresponding storage box 1, storage operation is completed, in feeding, client opens APP modules and uses pickup function, APP modules, object
Networked system and pickup system are crossed network layer protocol and are communicated, and pickup system is wrapped up in by comparison bag deposit and its place stores
The number of case 1 determines storage box, is then interacted with Internet of things system, allows storage box is past under the promotion of mechanical arm to turn up
, package in case is poured onto in the second package placing box 5, pickup lifting gear 6 declines the second package placing box 5, manually
Open electronic lock so that can manually realize that pickup operates.
On the basis of the above, the electronic lock decoding system includes that the ciphering two-dimension code being arranged at material taking mouth generates dress
It sets, voice print identification device and face identification device, the voiceprint of user is stored in the memory module of the Internet of things system
And facial information, the ciphering two-dimension code generating means, voice print identification device and face identification device respectively with described in Internet of Things
APP modules include courier's unit, subscriber unit and administrator's unit, and the subscriber unit includes pickup unit, the pickup
Quick Response Code decryption recognition unit is provided in unit；
Concrete operations are：In pickup, pickup system can pass through secondary encryption, and concretely RSA＆MD5 multilayer nests add
Close Quick Response Code, Application on Voiceprint Recognition or the recognition of face face identification based on OpenCV technologies, carry out identification of unpacking, Quick Response Code can be by APP
Module carries out barcode scanning decoding operate, the barcode scanning function of the identification RSA＆MD5 multilayer nest ciphering two-dimension codes, using Google
Zxing frames are used for the generation and identification of Quick Response Code, Quick Response Code are printed on each storage box, and merge RSA＆MD5 multilayers
Nested partitions method technology, and public key and private key are preserved, the corresponding role of client is assigned, the Quick Response Code on babinet only has
The barcode scanning function of Quick Response Code read-write sensor and user interface at conveyer belt, which has permission, is decrypted it identification, further
Protect the privacy of user；The Application on Voiceprint Recognition function receives and is extracted with sound transducer user voice feature and speaks interior
Hold information, the vocal print of known users in voiceprint and database is carried out 1:1 comparison and 1:The retrieval of N, and will also
The digital content of digital audio and system dymamic setting read-out by user is verified.It is all matched with content and if only if vocal print
It is just proved to be successful, ensure that the safety of picking, the face identification functions based on OpenCV technologies, in system from camera
In the image or short video files of shooting, by cascade classifier, target in detection image or video flowing.And carry out gray processing and
Then histogram equalization detects face with Canny edge detector exclusive segments region by Hear features and LBP features.
The face detected is compared with the faceform in database, if successful match, finds out corresponding user, makes user logical
Cross verification.This makes picking more rapid and convenient.
On the basis of the above, further include eye level measurement module, the material taking mouth has multiple, the multiple material taking mouth point
Not Wei Yu different height, the eye level measurement module includes vision camera, the vision camera be used for entire people
Body profile is shot, and is modeled to the static scene stablized in video using mixed Gauss model, human body from scene
It separates, then extracts the peak of human body contour outline as head feature point, minimum point is step characteristic point, two step spies
The midpoint of point is levied as intersection point point, specific algorithm is as follows：If homogeneous coordinates of the human body crown point under world coordinate system are Mt=
(X,Y,Z,1)T, therefore MtIntersection point point coordinates on the ground is Mf=(X, Y, 0,1)T, MfPicture point meetH in formula is then known as homography matrix, is 3 × 3 invertible matrix, when homography matrix H and picture point
After knowing, coordinate components X, Y can be acquired, that is, picture point M is determinedfPosition under world coordinate system, then projected by video camera
Matrix, according to formula WhereinWherein R is spin matrix, and t is translation vector,
(Xω,Yω,Zω,1)TIt is the flat coordinate at space any point, (X, Y, 1)TIt is the secondly coordinate of its corresponding picture point.
fu, fvIt is the focal length horizontally and vertically on direction respectively, s is obliquity factor, (u0,vo)TIt is principal point, is acquired according to above-mentioned formula
Z is human height, by detect human height, for user arrange proper height material taking mouth so that user in picking more
It is easily convenient.
On the basis of the above, the subscriber unit further includes big data correlation rule commending system, the big data association
Regular commending system is used to carry out excavating search candidate rule to the package data of user, predicts dependent merchandise, its step are as follows：
Model is established using FP-Growth algorithms, in setting minimum support threshold value min-support and minimal confidence threshold min-
Frequent Pattern Mining is carried out after confidence, generates frequent item set, further generates correlation rule after screening, finally with promotion
Complementary indexs of the lift as confidence level is spent, to ensure the reliability of rule；
Wherein：Support and confidence level are used to indicate that the intensity of correlation rule, support S, S are used for data-oriented collection
Frequent degree：
Confidence level is C, the frequent degree that Y occurs in the affairs comprising X：
Promotion degree is L, and L reflects the correlation of A and B in correlation rule,：If promotion degree>1
And it is higher show that positive correlation is higher, promotion degree<1 and it is lower show that negative correlation is higher, promotion degree=1 shows that A is mutually only with B
It is vertical, without correlation；
Wherein, X, Y represent two package things, and σ (x ∪ y) indicates that the support counting of item collection { X, Y }, N indicate affairs
Sum, σ (x) indicate the support counting of item collection X, and P (Y | X) is indicated containing the probability containing Y simultaneously under conditions of X, P (Y) table
Show without the but probability containing Y under conditions of X, and the high product of correlation is recommended in the form of advertisement is launched to APP modules
It is interior.
On the basis of the above, the subscriber unit further includes personalized recommendation system, and the personalized recommendation system also wraps
Similarity calculation module is included, the similarity calculation module includes using collaborative filtering Memory-based based on user
User-base and neighbor algorithm based on project item-based carry out cosine similarity calculating, the specific steps are：
Step 1：Traverse user package data concentrates each commodity,
Step 2：From these commodity, the purchase user of each commodity is found,
Step 3：From these users, other commodity of each user's purchase are found,
Step 4：Other commodity for recording user purchase, as the candidate neighbor of the commodity,
Step 5：It is traversed after neighborhood determination, calculates the similarity of neighbours two-by-two；
Wherein, if product i and product j, using the scoring of commodity as a vector, this vector is that all users are directed to quotient
The scoring of product i, the similarity between two commodity, is obtained by calculating the angle between the two commodity vectors, specific public
Formula is as follows：
U in formulaijIndicate the set of the user of all scored product i and product j, Ri,uIndicate user u to product i's
Scoring, Rj,uIt indicates scorings of the user u to product j, is launched the high several prods of similarity with advertisement by similarity calculation
Form is recommended to APP modules, and such mode is by finding the package data set of the other users nearest with active user, mistake
The existing package data of active user is filtered, and is recommended user.Or the history package data by active user, it finds
Like product, to help user to find the commodity such as clothes that they like, sports products, electronic product, books.Calculating neighbour
Afterwards, it is screened by similarity, by most similar commodity in real time in the user interface of client application in the form of advertisement
It is delivered to user, and the behavior by largely analyzing user, different personalized advertisements is provided to different user.Finally it ensure that
The novelty of recommendation results, and meet the logic of user, to the pleasantly surprised degree of user and preferably experience, recommend for user personalized
Commodity meet the commercial product recommending demand of user.You need to add is that big data system includes to be combined with operation business model
Commending system, the system are made of the business recommended engine of correlation rule proposed algorithm and personalization towards big data.
All by largely analyzing the behavior of user, final recommendation results are launched in the form of advertisement in user interface.
Particular embodiments described above has carried out into one the purpose of this utility model, technical solution and advantageous effect
Step is described in detail, it should be understood that the foregoing is merely specific embodiment of the utility model, is not limited to this
Utility model, within the spirit and principle of the utility model, any modification, equivalent substitution, improvement and etc. done should all wrap
Containing being within the protection scope of the utility model.
Claims (6)
1. a kind of logistics end storage system based on Internet of Things, it is characterised in that：Including Internet of things system, the Internet of Things system
System includes control module and memory module, Message Entry System, intelligent sorting system, storage system, jettison system and pickup system
System, described information input system, intelligent sorting system, storage system, jettison system and pickup system are respectively and Internet of things system
Connection, further includes the APP modules that data interaction is carried out with Internet of things system, and the jettison system is located at intelligent sorting system and deposits
Between storage system, the pickup system is located at storage system far from jettison system side.
2. a kind of logistics end storage system based on Internet of Things as described in claim 1, it is characterised in that：Described information is recorded
It includes being sensed for scanning package multi-panel information and reading the barcode scanning of the multiple directions of data inputting Internet of things system to enter system
Device, the package that the control module of the Internet of things system automatically generates are numbered, user information, the package title of typing, and will be counted
According in deposit memory module.
3. a kind of logistics end storage system based on Internet of Things as claimed in claim 2, it is characterised in that：The storage system
System, which includes multilayer, has different size of storage box, is printed on each storage box and Quick Response Code is numbered to the babinet, described every
Layer storage box, which is fixed on, to be surrounded on the chain (2) of rotation, and the jettison system includes for that will include being transported to different layers
Lifting gear (4) is wrapped up, the first package placing box (3) that can be moved up and down is provided on the package lifting gear (4),
Further include the first rotating device for driving the first package placing box (3) to be rotated, is additionally provided with and is used in the storage system
The Quick Response Code read-write sensor of storage box (1) Quick Response Code is scanned, the Quick Response Code read-write sensor is located at jettison system, when two
When dimension code read-write sensor scanning is moved to corresponding storage box (1) at jettison system, chain (2) stops operating so that packet
Wrapping up in can be devoted in corresponding storage box (1).
4. a kind of logistics end storage system based on Internet of Things as claimed in claim 3, it is characterised in that：The intelligence point
The system of picking includes drain hole, is provided with conveyer belt between the drain hole and package lifting gear (4), the conveyer belt side is set
It is equipped with light sensing device, the laser emitter and corresponding light that the light sensing device is arranged by multi-panel dot matrix connect
Receiving apparatus is constituted, and the light sensing device is connect with Internet of things system, and the pickup system includes setting in chain (2)
The mechanical arm and pickup lifting gear (6) for driving storage box to overturn of side, being provided on the pickup lifting gear (6) can
The the second package placing box (5) to move up and down, resetting spring is provided between the storage box and chain (2), described to take
Electronic lock decoding system is provided on the outside of part lifting gear (6), the electronic lock decoding system is connect with Internet of things system.
5. a kind of logistics end storage system based on Internet of Things as claimed in claim 4, it is characterised in that：The electronic lock
Decoding system includes ciphering two-dimension code generating means, voice print identification device and the face identification device being arranged at material taking mouth, institute
The voiceprint and facial information that user is stored in the memory module of Internet of things system are stated, the ciphering two-dimension code generates dress
Set, voice print identification device and face identification device include with APP modules described in Internet of Things respectively courier's unit, subscriber unit and
Administrator's unit, the subscriber unit include pickup unit, and Quick Response Code decryption recognition unit is provided in the pickup unit.
6. a kind of logistics end storage system based on Internet of Things as claimed in claim 5, it is characterised in that：It further include vision
Elevation carrection module, the material taking mouth have multiple, and the multiple material taking mouth is located at different height, and the eye level measures
Module includes vision camera.
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| Application Number | Priority Date | Filing Date | Title |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111612391A (en) * | 2020-04-02 | 2020-09-01 | 杭州电子科技大学 | Logistics sorting equipment commodity placing method based on FP-growth |
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2018
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111612391A (en) * | 2020-04-02 | 2020-09-01 | 杭州电子科技大学 | Logistics sorting equipment commodity placing method based on FP-growth |
| CN111612391B (en) * | 2020-04-02 | 2023-04-07 | 杭州电子科技大学 | Logistics sorting equipment commodity placing method based on FP-growth |
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