CN108154336A - 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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- CN108154336A CN108154336A CN201810143086.1A CN201810143086A CN108154336A CN 108154336 A CN108154336 A CN 108154336A CN 201810143086 A CN201810143086 A CN 201810143086A CN 108154336 A CN108154336 A CN 108154336A
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Abstract
The invention discloses a kind of logistics end storage systems 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 pickup system with Internet of things system respectively, 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 present invention 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 present invention relates to a kind of logistics storage system, more particularly to a kind of logistics end storage system based on Internet of Things.
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 be 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, has become the weight for influencing industry upgrading synergy development
Want bottleneck, it would be highly desirable to which system research solves.And based on information-based, the logistics end storage system based on data resource largely
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 shortcomings that function is not perfect, type is not various is remained,
It can not accomplish personalized customization.The defects of present invention can largely make up functionally passes through a variety of intelligent mode
The best user experience of user is given, the present invention is just catering to the change of delivery industry needs so that intelligent memory system can
Efficiently and accurately to complete signing for for quick despatch, and time configuration is flexible, efficient, at low cost and safe, also solves
The client that determined does not have the problem for the time taking express delivery in time.This is more intelligent, more humane compared to traditional approach.
Invention content
The technical problem to be solved by the present invention is to provide one kind to allow intelligent memory system efficiently and accurately to complete express delivery
Part is signed for, and a kind of logistics end storage based on Internet of Things flexible, efficient, at low cost and safe is configured in the time
Object system.
The technical solution adopted by the present invention to solve the technical problems is：A kind of logistics end storing system based on Internet of Things
System includes control module and memory module, Message Entry System, intelligent sorting including Internet of things system, the Internet of things system
System, storage system, jettison system and pickup system, described information input system, intelligent sorting system, storage system, dispensing
System is connected with pickup system with Internet of things system respectively, further includes the APP modules that data interaction is carried out with Internet of things system, institute
Jettison system is stated between intelligent sorting system and storage system, the pickup system is located at storage system far from jettison system
Side.
It is further：Described information input system includes 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
The babinet is numbered Quick Response Code, every layer of storage box, which is fixed on, to be surrounded on the chain of rotation, the jettison system packet
The package lifting gear for that will include being transported to different layers is included, is provided with and can move up and down on the package lifting gear
The first package placing box, further include the first rotating device for being rotated of the first package placing box of driving, 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
Conveyer belt is equipped with, 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 formed, the light sensing device is connect with Internet of things system, institute
State pickup system include be arranged on the inside of chain for drive storage box overturn mechanical arm and pickup lifting gear, it is described to take
The the second package placing box that can be moved up and down is provided 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 being arranged on ciphering two-dimension code generating means at material taking mouth,
Voice print identification device and face identification device, the memory module memory storage of the Internet of things system have the voiceprint knead dough of user
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：Eye level measurement module is further included, 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 the static scene stablized in video is modeled 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, (X
ω,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, the Z acquired according to above-mentioned formula
As 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 that the package data of user to be carried out to excavate search candidate rule, 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, and 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 the 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) represents the support counting of item collection { X, Y }, and N represents affairs
Sum, σ (x) represent the support counting of item collection X, and P (Y | X) is represented 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 are included using collaborative filtering Memory-based based on user user-
Base and the 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 of user purchase are recorded, as the candidate neighbor of the commodity,
Step 5：It is traversed after neighborhood determines, 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 formulaijRepresent the set of the user of all scored product i and product j, Ri,uRepresent user u to product i's
Scoring, Rj,uRepresent scorings of the user u to product j.
The beneficial effects of the invention are as follows：It solves the problems, such as last one kilometer, breaches time restriction, user can be in office
When between carry out pickup；Height limitation is breached, user can achieve the effect that convenient access in suitable height pickup；It is prominent
Space limitation is broken, package is stored in different storage boxes, can rationally utilize space by size；Breach rate limitation, express delivery
Member can be quickly will it is multiple package input storage systems in.The information security of user is ensured, Quick Response Code is more using RSA＆MD5
Layer nested partitions method technology so that the shopping information of user will not leak, while ensure that the anti-lost of package misplaces, and employ 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 body
Part verification." internet+" express delivery is promoted, using the several informations such as mobile interchange, Internet of Things, big data, cloud computing, optimization
Service network is laid out, and promotes operation management efficiency, expands cooperative development space, and service mode is pushed to change, and further improves letter
Breathization operation platform realizes the personalized customization of user.
Description of the drawings
Fig. 1 is storage system schematic diagram.
Fig. 2 is electrically connected schematic diagram for storage system.
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
5th, pickup lifting gear 6.
Specific embodiment
The present invention is further described 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 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 will be wrapped up by Message Entry System, intelligent sorting system carry out data input while and Internet of Things 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 flexible, efficient, cost is configured in the time
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 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 which, can will be in movement arbitrarily
The package number that the control module of Internet of things system described in the data input of the package of placement automatically generates, 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 the babinet is numbered Quick Response Code, 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 to 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 with to scan in the storage system
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
Writing sensor scanning to corresponding storage box 1 move at jettison system when, 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 formed, the light sensing device and Internet of Things
Net system connects, and the pickup system includes being arranged on the mechanical arm for being used to that storage box to be driven to overturn and the pickup of 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 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 conveyor 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 which, can be by the data input for the package arbitrarily placed in movement.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, conveyer belt will wrap up the intelligent sorting system that transmits, and start 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 formed 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,
It will be included rising to the specified number of plies by jacking system again, the chain 2 in storage system drives storage box 1 to rotate, when Quick Response Code is read and write
Sensor scanning to corresponding storage box 1 move at jettison system when, 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 cross network layer protocol and communicate, 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 being arranged on the ciphering two-dimension code generation dress at material taking mouth
It puts, voice print identification device and face identification device, the memory module memory storage of the Internet of things system have the voiceprint of user
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 for the generation and identification of Quick Response Code, are printed on Quick Response Code on each storage box, and merge RSA＆MD5 multilayers
Nested partitions method technology, and public key and private key are preserved, the imparting corresponding role of client, 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 is received with sound transducer and extracts user voice feature and speak 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
Histogram equalization with Canny edge detector exclusive segments region, then detects face by Hear features and LBP features.
The face detected with the faceform in database is compared, if successful match, corresponding user is found out, user is allowed to lead to
Cross verification.This causes picking more rapid and convenient.
On the basis of the above, eye level measurement module is further included, the material taking mouth has multiple, the multiple material taking mouth point
Not Wei Yu different height, the eye level measurement module include vision camera, the vision camera be used for entire people
Body profile is shot, and the static scene stablized in video is modeled 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, and by detecting human height, the material taking mouth of proper height is arranged for user 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 that the package data of user to be carried out to excavate search candidate rule, 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, and 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 the 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) represents the support counting of item collection { X, Y }, and N represents affairs
Sum, σ (x) represent the support counting of item collection X, and P (Y | X) is represented containing the probability containing Y simultaneously under conditions of X, P (Y) table
Show without the but probability containing Y, and the high product of correlation is recommended in the form of advertisement is launched to APP modules under conditions of X
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 is included using collaborative filtering Memory-based based on user
User-base and the 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 of user purchase are recorded, as the candidate neighbor of the commodity,
Step 5：It is traversed after neighborhood determines, 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 formulaijRepresent the set of the user of all scored product i and product j, Ri,uRepresent user u to product i's
Scoring, Rj,uIt represents 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, user to be helped 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
User is delivered to, and passes through the behavior for 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 what is be combined with operation business model
Commending system, the system are made of the business recommended engine of the correlation rule proposed algorithm towards big data and personalization.
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 the purpose of the present invention, technical solution and advantageous effect further in detail
It describes in detail bright, it should be understood that the above is only a specific embodiment of the present invention, is not intended to restrict the invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in the guarantor of the present invention
Within the scope of shield.
Claims (8)
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
Enter system to include for scanning package multi-panel information and the barcode scanning of the multiple directions of data inputting Internet of things system is read sensing
Device, the package number that the control module of the Internet of things system automatically generates, user information, the package title of typing, and by number
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 the babinet is numbered Quick Response Code, described every
Layer storage box, which is fixed on, to be surrounded on the chain (2) of rotation, and the jettison system includes to 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),
The first rotating device that the first package placing box (3) of driving is rotated is further included, 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
The scanning of dimension code read-write sensor to corresponding storage box (1) move at jettison system when, 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
It picks system and includes drain hole, be provided with conveyer belt between the drain hole and package lifting gear (4), the conveyer belt side is set
Light sensing device is equipped with, the laser emitter and corresponding light that the light sensing device is arranged by multi-panel dot matrix connect
Receiving apparatus is formed, and the light sensing device is connect with Internet of things system, and the pickup system includes being arranged in chain (2)
Side for driving the mechanical arm and pickup lifting gear (6) that storage box overturns, 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 being arranged on ciphering two-dimension code generating means, voice print identification device and the face identification device at material taking mouth, institute
Stating the memory module memory storage of Internet of things system has the voiceprint and facial information of user, the ciphering two-dimension code generation dress
Put, voice print identification device and face identification device include courier's unit with APP modules described in Internet of Things respectively, 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：Further include vision
Elevation carrection module, the material taking mouth have multiple, and the multiple material taking mouth is located at different height respectively, and the eye level measures
Module includes vision camera, and the vision camera utilizes mixed Gauss model for being shot to entire human body contour outline
The static scene stablized in video is modeled, human body is separated from scene, then extracts the highest of human body contour outline
Point is step characteristic point as head feature point, minimum point, and the midpoint of two step characteristic points is as intersection point point, and specific algorithm is such as
Under：If homogeneous coordinates of the human body crown point under world coordinate system are Mt=(X, Y, Z, 1)T, therefore MtIntersection point point on the ground
Coordinate is Mf=(X, Y, 0,1)T, MfPicture point meetH in formula is then known as homography matrix, be 3 ×
3 invertible matrix after known to homography matrix H and picture point, can acquire coordinate components X, Y, that is, picture point M is determinedf
Position under world coordinate system, then by video camera projection matrix, according to formulaWhereinWherein R is spin matrix, and t is translation vector, (X ω, Y ω, Z ω, 1)TIt is space any point
Flat coordinate, (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 human height according to the Z that above-mentioned formula acquires.
7. a kind of logistics end storage system based on Internet of Things as claimed in claim 5, it is characterised in that：The user is single
Member further includes big data correlation rule commending system, and the big data correlation rule commending system is used for the package data to user
It carries out excavating search candidate rule, predicts dependent merchandise, its step are as follows：Model is established using FP-Growth algorithms, is being set
Frequent Pattern Mining is carried out after minimum support threshold value min-support and minimal confidence threshold min-confidence, is produced
Raw frequent item set further generates correlation rule, finally by the use of promotion degree lift as the complementary index of confidence level, to protect after screening
Hinder the reliability of rule；
Wherein：Support and confidence level are used to indicate that the intensity of correlation rule, and support S, S are used for the frequency of data-oriented collection
Numerous 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 the A and B in correlation rule,：If promotion degree>1 and more
Height shows 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 mutual indepedent with B,
There is no correlation；
Wherein, X, Y represent two package things, and σ (x ∪ y) represents the support counting of item collection { X, Y }, and N represents the total of affairs
Number, the support counting of σ (x) expression item collections X, P (Y | X) it represents containing the probability containing Y, P (Y) are represented simultaneously under conditions of X
Without the but probability containing Y under conditions of X.
8. a kind of logistics end storage system based on Internet of Things as shown in claim 7, it is characterised in that：The user is single
Member further includes personalized recommendation system, and the personalized recommendation system further includes similarity calculation module, the similarity calculation
Module includes the neighbours based on user user-base and based on project item-based using collaborative filtering Memory-based
Algorithm carries 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 of user purchase are recorded, as the candidate neighbor of the commodity,
Step 5：It is traversed after neighborhood determines, 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 commodity i
Scoring, the similarity between two commodity, is to be obtained by calculating the angle between the two commodity vectors, specific formula is such as
Under：
U in formulaijRepresent the set of the user of all scored product i and product j, Ri,uRepresent scorings of the user u to product i,
Rj,uRepresent scorings of the user u to product j.
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