CN114548879B - Logistics data conversion system and method based on cloud resources - Google Patents
Logistics data conversion system and method based on cloud resources Download PDFInfo
- Publication number
- CN114548879B CN114548879B CN202210199337.4A CN202210199337A CN114548879B CN 114548879 B CN114548879 B CN 114548879B CN 202210199337 A CN202210199337 A CN 202210199337A CN 114548879 B CN114548879 B CN 114548879B
- Authority
- CN
- China
- Prior art keywords
- logistics
- information
- unit
- data
- warehouse
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000006243 chemical reaction Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 30
- 230000003993 interaction Effects 0.000 claims abstract description 38
- 230000001815 facial effect Effects 0.000 claims description 18
- 238000012546 transfer Methods 0.000 claims description 17
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 13
- 230000009467 reduction Effects 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 10
- 238000012217 deletion Methods 0.000 claims description 9
- 230000037430 deletion Effects 0.000 claims description 9
- 230000007246 mechanism Effects 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 7
- 238000012216 screening Methods 0.000 claims description 6
- 230000006835 compression Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 11
- 238000010586 diagram Methods 0.000 description 6
- 239000000463 material Substances 0.000 description 5
- XLYOFNOQVPJJNP-ZSJDYOACSA-N Heavy water Chemical compound [2H]O[2H] XLYOFNOQVPJJNP-ZSJDYOACSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 229910052717 sulfur Inorganic materials 0.000 description 1
- 239000011593 sulfur Substances 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0833—Tracking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- Databases & Information Systems (AREA)
- Bioethics (AREA)
- General Business, Economics & Management (AREA)
- Computer Hardware Design (AREA)
- Strategic Management (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- Software Systems (AREA)
- Computer Security & Cryptography (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Medical Informatics (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a logistics data conversion system and method based on cloud resources, belongs to the technical field of data conversion systems, and solves the problem of low consistency of online and offline logistics data. The logistics data in the logistics data conversion process are transmitted by the data interaction system, the online and offline logistics information is highly consistent, and logistics information is provided for goods distribution, goods loss and goods rejection return so as to search and track the goods.
Description
Technical Field
The invention relates to the technical field of data conversion systems, in particular to a logistics data conversion system and method based on cloud resources.
Background
The logistics system is an organic aggregate comprising two or more logistics functional units for the purpose of completing logistics services. The "input" of the logistics system refers to the process of providing the elements such as labor, equipment, materials, resources and the like required by the logistics links such as purchasing, transportation, storage, circulation processing, loading, unloading, carrying, packaging, selling, logistics information processing and the like to the system from the external environment. The logistics system is an organic whole with specific functions, which is formed by materials to be conveyed and a plurality of dynamic elements which are mutually restricted and comprise related equipment, conveying tools, storage equipment, personnel, communication connection and the like in a certain time and space. The successful elements of the logistics system are to optimize and rationalize the whole logistics system, comply with or improve the environment of a large social system, and simultaneously need on-line logistics data which are highly consistent with actual logistics information.
The logistics data refers to various logistics activity contents uploaded to a logistics system, and comprises general names of logistics knowledge, data, images, data and files, the logistics data is a premise of logistics planning and logistics scheme design and implementation, and logistics participants can make correct decisions only by means of accurate first-hand logistics data. However, the conventional system has low acquisition frequency of off-line logistics information, generally, goods are transported to a transfer station and then uploaded, and logistics data of the system is updated according to the uploaded logistics information after the logistics information is uploaded, so that the consistency of the on-line off-line logistics data is low, the difficulty of searching the goods after being lost is large, the logistics information is disordered, and the degree of mastering of logistics participants on actual logistics is low.
Disclosure of Invention
The invention aims to provide a logistics data conversion system and method based on cloud resources, wherein a data interaction system is arranged for transmitting logistics data in a logistics data conversion process, so that the online and offline logistics information is highly consistent, and the problems in the background art are solved.
In order to achieve the purpose, the invention provides the following technical scheme: a logistics data conversion system based on cloud resources comprises an ex-warehouse system, a delivery system and an in-warehouse system which are sequentially connected, wherein the ex-warehouse system and the delivery system, the adjacent delivery systems and the delivery system and the in-warehouse system are connected through data interaction systems, the adjacent data interaction systems are connected with each other, and each data interaction system, the ex-warehouse system and the in-warehouse system are connected with a cloud database.
Further, the ex-warehouse system comprises an article data unit and an ex-warehouse information data unit, wherein the article data unit is used for inputting, recording and outputting article data, and the ex-warehouse information data unit is used for collecting, verifying and transferring ex-warehouse and in-warehouse information.
The warehouse-out information data unit comprises a shipper information input unit, a face image acquisition unit, a face information identification unit and a privacy information data packet generation unit, wherein the face image acquisition unit is connected with the face information identification unit and used for acquiring face image information of a shipper and sending the face image information of the shipper to the face information identification unit, the face information identification unit identifies the face characteristics of the shipper and sends the face characteristic information of the shipper to the privacy information data packet generation unit, the shipper information input unit is used for recording identity information input by the shipper and sending the identity information input by the shipper to the privacy information data packet generation unit, the privacy information data packet generation unit verifies the identity of the shipper according to the identity information input by the shipper and the face image information of the shipper and generates a privacy information data packet with a key, and the privacy information data packet stores the identity information of the shipper.
The article data unit comprises an article scanning unit, an ex-warehouse information input unit, an ex-warehouse information data packet generating unit and an ex-warehouse receipt generating unit, wherein the article scanning unit is used for scanning and detecting whether the ex-warehouse articles belong to articles regulated by illegal logistics transportation, the ex-warehouse information input unit is used for a shipper to fill in an address of a warehouse, related information of a consignee and a consignee contact mode and sending the related information to the ex-warehouse information data packet generating unit, the ex-warehouse information data packet generating unit generates an ex-warehouse information data packet, the address of the warehouse, the consignee and the consignee contact mode are stored in the ex-warehouse information data packet, logistics information generated along with the flow of ex-warehouse logistics is recorded in the ex-warehouse information data packet, the ex-warehouse information data packet generating unit is connected with the ex-warehouse receipt generating unit, and the ex-warehouse receipt generating a distribution address, a virtual number and a consignment receipt number according to the address of the warehouse, the consignee and the related information of the consignee contact mode, and sending the receipt number to a mobile phone of the consignee.
Furthermore, the delivery system comprises code scanning equipment and a positioner, the delivery system receives the ex-warehouse address information produced by the ex-warehouse system through the code scanning equipment, plans an ex-warehouse route according to the ex-warehouse address information, and the positioner records the ex-warehouse route and positions the position where logistics flow in real time.
Further, the warehousing system is used for receiving the warehousing signing information and sending the ex-warehouse information data packet and the privacy information data packet which are transmitted to the warehousing system to the cloud database according to the signing information.
The data interaction system further comprises a data packet moving-in unit, a data packet moving-out unit, a logistics information loading unit, a logistics information reading unit and a logistics information output unit, wherein the logistics information reading unit reads logistics information of a next system and sends the logistics information to the logistics information loading unit and the logistics information output unit, the logistics information loading unit records the logistics information into a warehouse-out information data packet, the logistics information output unit sends the logistics information to the internet, a shipper or a consignee inquires the logistics information through the internet, the data packet moving-in unit moves a privacy information data packet and a warehouse-out information data packet from the previous system into the data interaction system, and the data packet moving-out unit moves the privacy information data packet and the warehouse-out information data packet in the data interaction system to the next system.
Furthermore, the data interaction system reads the logistics position information positioned by the positioner, and triggers the data interaction system to transfer the privacy information data packet and the ex-warehouse information data packet according to the logistics position information.
Furthermore, the cloud database comprises a storage unit, a deleting unit and a classifying unit, the ex-warehouse system, the data interaction system and the warehousing system sequentially send logistics information to the storage unit of the cloud database, the storage unit is connected with the deleting unit, the deleting unit is used for deleting logistics information stored last time after next logistics information of the same cargo, the warehousing system sends the logistics information to the storage unit and simultaneously sends a privacy information data packet and an ex-warehouse information data packet to the storage unit, the storage unit is connected with the classifying unit, and the classifying unit is used for classifying the logistics information, the privacy information data packet and the ex-warehouse information data packet.
According to another aspect of the present invention, there is provided a method for logistics data conversion based on cloud resources, comprising the steps of:
s101: the ex-warehouse system generates logistics data, transfers the logistics data to the data interaction system, and backs up logistics information to the cloud database;
s102: the data interaction system reads real-time logistics information provided by the transmission system, changes and updates logistics data, transfers the logistics data according to the real-time logistics information, backs up the updated logistics information to the cloud database, and the cloud database deletes the logistics information stored before;
s103: and after the warehousing system reads the goods and signs, the logistics information and the logistics data are sent to the cloud database, and the cloud database deletes the logistics data stored before.
Preferably, the warehouse-out system further comprises:
the logistics data acquisition unit: the system is used for acquiring logistics information and monitoring the real-time state of a logistics vehicle; wherein,
the logistics information comprises: logistics mileage, logistics vehicle type, logistics vehicle consumption, logistics vehicle state, logistics transfer data, logistics transfer point state, logistics personnel consumption, logistics consumed time and logistics line state;
the real-time status includes: abnormal logistics state and normal logistics state;
abnormal monitoring unit of commodity circulation: the system is used for judging whether to carry out logistics transportation or not according to the logistics information when the logistics is in an abnormal state;
logistics cost accounting unit: when the logistics transportation is needed, the logistics cost accounting is carried out according to the logistics information; wherein,
the logistics cost accounting comprises: planning logistics cost accounting, performing logistics cost accounting and residual logistics cost accounting;
cost line association unit: the system is used for determining a warehouse logistics line according to the logistics information and logistics cost accounting, and establishing a combined verification mechanism based on cost consumption reduction and logistics progress; wherein,
the cost consumption reduction and logistics progress combined evidence verification mechanism is used for determining logistics cost, reducing the logistics cost according to the logistics progress and determining real-time consumption cost and real-time remaining cost;
a logistics route re-planning unit: according to the real-time residual cost, carrying out logistics line re-planning and judging whether a first target line exists or not; wherein,
the cost of the first target route does not exceed the real-time remaining cost;
a line screening unit: the route priority calculation module is used for calculating the priority of the route when the first target route exists, determining the priority value and screening the target route with the highest priority value as a replanned route; wherein,
the highest priority value is that in the calculation of the line priority, a product sum is determined through the product of line time and time weight and the product of line cost and cost weight, and the maximum value of the product sum is the highest priority value;
a line reselection unit: and when the first target line does not exist, acquiring all lines which can be replanned, selecting the line with the lowest cost from all the lines as a replanned line, performing cost overflow calculation based on a cost consumption reduction and logistics progress combined evidence printing mechanism, and performing logistics personnel and logistics vehicle planning compression according to the cost overflow calculation.
Preferably, the warehousing system is further configured to perform information comparison on the ex-warehouse information data packet and the privacy information data packet, and perform warehousing verification;
the method comprises the following steps:
step 1: classifying and analyzing the ex-warehouse information data packets and the privacy information data packets, determining different types of ex-warehouse information, and generating an ex-warehouse information data set A and a privacy information data set B;
A＝{a 1 ，a 2 ，a 3 ……a i }
B＝{b 1 ，b 2 ，b 3 ……b j }
wherein, a i Type characteristics representing the ith type of ex-warehouse information; b j A type feature representing a jth type of privacy information; i =1,2,3 \ ...n; n represents the total variety number of the ex-warehouse information; j =1,2,3 \8230, m; m represents the total number of categories of the private information;
and 2, step: according to the ex-warehouse information data set A and the privacy information data set B, a data correlation judgment model is constructed, and whether the data are the same or not is judged:
wherein q is i The content characteristics represent the ith type of ex-warehouse information; w is a j Content characteristics representing the jth class of privacy information; when X =1, the warehouse-out information data packet and the privacy information data packet are the same, and the warehouse-in is correct; and when X is not equal to 1, the warehouse-out information data packet is different from the privacy information data packet, and the warehouse-in error is indicated.
Compared with the prior art, the invention has the beneficial effects that:
1. the logistics data conversion system and method based on cloud resources provided by the invention has the advantages that the data interaction system is arranged to transmit logistics data in the logistics data conversion process, the logistics data can be transferred along with implemented goods movement while the logistics data are prevented from being lost, the online and offline logistics information is highly consistent, logistics information is provided for goods distribution, goods loss and goods rejection return, and the goods can be searched and tracked conveniently;
2. according to the logistics data conversion system and method based on the cloud resources, the private information data packet with the secret key is set to store the personal information of the shipper, the delivery address, the virtual number and the manifest number are generated according to the address of the warehouse entry, the relevant information of the consignee and the consignee contact way, the personal privacy can be guaranteed in the logistics information transmission process, and therefore the information safety of the shipper and the consignee is guaranteed in two ways;
3. according to the logistics data conversion system and method based on the cloud resources, the deletion unit is used for deleting the logistics information stored last time after receiving the next logistics information of the same cargo, and the problems of confusion and reduction of storage space caused by repeated recording of the logistics information are solved.
Drawings
Fig. 1 is an overall structural diagram of a cloud resource-based logistics data conversion system of the present invention;
fig. 2 is a structure diagram of an ex-warehouse system of the cloud resource-based logistics data conversion system of the invention;
fig. 3 is a drawing illustrating a configuration of an ex-warehouse information data unit of the cloud resource-based logistics data conversion system according to the present invention;
fig. 4 is a structure diagram of an item data unit of the cloud resource-based logistics data conversion system of the invention;
fig. 5 is a structure diagram of a delivery system of the cloud resource-based logistics data conversion system of the invention;
fig. 6 is a data interaction system structure diagram of the cloud resource-based logistics data conversion system of the invention;
fig. 7 is a diagram illustrating a cloud database structure of the cloud resource-based logistics data conversion system according to the present invention;
fig. 8 is a flowchart of a method for cloud resource-based logistics data conversion according to the present invention.
In the figure: 1. a warehouse-out system; 11. an item data unit; 111. an article scanning unit; 112. an ex-warehouse information input unit; 113. an ex-warehouse information data packet generating unit; 114. a delivery list generating unit; 12. an ex-warehouse information data unit; 121. a sender information input unit; 122. a face image acquisition unit; 123. a face information recognition unit; 124. a privacy information packet generation unit; 2. a delivery system; 21. code scanning equipment; 22. a positioner; 3. a warehousing system; 4. a data interaction system; 41. a packet move-in unit; 42. a packet removal unit; 43. a logistics information loading unit; 44. a logistics information reading unit; 45. a logistics information output unit; 5. a cloud database; 51. a storage unit; 52. a deletion unit; 53. and (5) a classification unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a logistics data conversion system based on cloud resources comprises an ex-warehouse system 1, a delivery system 2 and a warehousing system 3 which are connected in sequence, wherein the ex-warehouse system 1 and the delivery system 2, the adjacent delivery systems 2 and the delivery system 2 and the warehousing system 3 are connected through data interaction systems 4, the adjacent data interaction systems 4 are connected with each other, each data interaction system 4, the ex-warehouse system 1 and the warehousing system 3 are connected with a cloud database 5, and the warehousing system 3 is used for receiving warehousing signing-in information and sending ex-warehouse information data packets and privacy information data packets which are transmitted to the warehousing system 3 to the cloud database 5 according to the signing-in information.
Referring to fig. 2, the delivery system 1 includes an article data unit 11 and a delivery information data unit 12, the article data unit 11 is used to input, record and output article data, and the delivery information data unit 12 is used to collect, verify and transfer delivery and storage information.
Referring to fig. 3, the ex-warehouse information data unit 12 includes a shipper information input unit 121, a facial image collecting unit 122, a facial information recognition unit 123, and a privacy information packet generation unit 124, the facial image collecting unit 122 and the facial information recognition unit 123 being connected to each other for collecting facial image information of a shipper and sending the facial image information of the shipper to the facial information recognition unit 123, the facial information recognition unit 123 recognizing a characteristic of a face of the shipper and sending the characteristic information of the face of the shipper to the privacy information packet generation unit 124, the shipper information input unit 121 for recording identity information that is input by the shipper by himself and sending the identity information that is input by the shipper by himself to the privacy information packet generation unit 124, the private information data packet generation unit 124 verifies the identity of the shipper according to identity information which is recorded and input by the shipper autonomously and face image information of the shipper, in the verification process, the private information data packet generation unit 124 is connected with an identity card system, authenticity of the identity information is verified through face features and the identity information, and privacy of personal information is kept after verification.
Referring to fig. 4, the article data unit 11 includes an article scanning unit 111, an outbound information input unit 112, an outbound information packet generating unit 113, and an outbound document generating unit 114, where the article scanning unit 111 is configured to scan and detect whether an outbound article belongs to an article specified by illegal logistics transportation, if the article specified by illegal logistics transportation is not a specific article, the article is not transported, and if the article is not specified by illegal logistics transportation, the outbound information input unit 112 is configured to fill in an address of warehousing by a shipper, information related to a contact manner between a consignee and the consignee, and send the related information to the outbound information packet generating unit 113, the outbound information packet generating unit 113 generates an outbound information packet, and the outbound information packet stores the address of warehousing, the consignee, and a contact manner of the consignee, the delivery information data packet records logistics information generated along with the flow of delivery logistics, the delivery information data packet generation unit 113 is connected with a delivery order generation unit 114, the delivery order generation unit 114 generates delivery addresses, virtual numbers and manifest numbers according to the warehousing addresses and the related information of the contact ways of the consignees and the consignees, the manifest numbers in the embodiment are matched with manifest two-dimensional codes or manifest barcodes for use, the manifest numbers can be replaced by the manifest two-dimensional codes or the manifest barcodes and the manifest numbers are sent to the mobile phones of the consignees, when the consignees deliver goods, the goods can be directly sent to the delivery addresses, the consignees can be contacted with the consignees for taking goods by dialing a telephone, the consignees can also be sent with the delivery addresses for taking goods according to the manifest numbers, in the actual operation process, the deliverers send the goods to automatic goods taking containers at the small doorway, and the consignees go to the automatic goods taking containers according to the manifest numbers, thereby ensuring the privacy and safety of the shipper and the consignee in two ways.
Referring to fig. 5, the delivery system 2 includes a code scanning device 21 and a locator 22, the delivery system 2 receives the outbound address information produced by the outbound system 1 through the code scanning device 21, and plans an outbound route according to the outbound address information, and the locator 22 records the outbound route and locates the position where the logistics flow in real time.
Referring to fig. 6, the data interaction system 4 includes a data packet moving-in unit 41, a data packet moving-out unit 42, a logistics information loading unit 43, a logistics information reading unit 44, and a logistics information output unit 45, the logistics information reading unit 44 reads logistics information of a next system and transmits the logistics information to the logistics information loading unit 43 and the logistics information output unit 45, the logistics information loading unit 43 records the logistics information into a warehouse-out information data packet, the logistics information output unit 45 transmits the logistics information to the internet, a shipper or a consignee inquires the logistics information through the internet, the data packet moving-in unit 41 moves a privacy information data packet and a warehouse-out information data packet from the previous system into the data interaction system 4, the data packet moving-out unit 42 moves the privacy information data packet and the warehouse-out information data packet in the data interaction system 4 to the next system, the data interaction system 4 reads logistics position information located by the locator 22, and triggers the data interaction system 4 to move the privacy information data packet and the warehouse-out information data packet according to the logistics position information.
Referring to fig. 7, the cloud database 5 includes a storage unit 51, a deletion unit 52, and a classification unit 53, the ex-warehouse system 1, the data interaction system 4, and the warehousing system 3 sequentially send logistics information to the storage unit 51 of the cloud database 5, the storage unit 51 is connected to the deletion unit 52, the deletion unit 52 is configured to delete logistics information stored last time after next logistics information of the same cargo is sent, the warehousing system 3 sends logistics information to the storage unit 51 and sends a privacy information data packet and an ex-warehouse information data packet to the storage unit 51 at the same time, the storage unit 51 is connected to the classification unit 53, the classification unit 53 is configured to classify the logistics information, the privacy information data packet, and the ex-warehouse information data packet, and after the cloud database 5 receives the logistics information sent by the data interaction system 4, the deletion unit 52 is triggered to delete the ex-warehouse system 1.
Referring to fig. 8, in order to better show the process of converting logistics data based on cloud resources, the embodiment now provides a method for converting logistics data based on cloud resources, which includes the following steps:
s101: the ex-warehouse system 1 generates logistics data, transfers the logistics data to the data interaction system 4, and backups logistics information to the cloud database 5;
s102: the data interaction system 4 reads the real-time logistics information provided by the transmission system 2, changes and updates logistics data, transfers the logistics data according to the real-time logistics information, backs up the updated logistics information to the cloud database 5, and the cloud database 5 deletes the logistics information stored before;
s103: after reading the sign-in of the goods, the warehousing system 3 sends the logistics information and the logistics data to the cloud database 5, and the cloud database 5 deletes the logistics data stored before.
To sum up: the logistics data conversion system and method based on cloud resources provided by the invention are provided with the data interaction system 4 for transmitting logistics data in the logistics data conversion process, so that the logistics data are prevented from being lost, the logistics data can be ensured to be transferred along with the implemented goods movement, the height consistency of online and offline logistics information is achieved, and logistics information is provided for goods distribution, goods loss and goods rejection return so as to search and track the goods; setting a privacy information data packet with a secret key to store personal information of a shipper, generating a distribution address, a virtual number and a manifest number according to the address of a warehouse, the relevant information of a consignee and a consignee contact way, and ensuring that the personal privacy can be guaranteed in the logistics information transmission process, so that the information safety of the shipper and the consignee is guaranteed in two ways; the deleting unit 52 is used for deleting the logistics information stored last time after receiving the next logistics information of the same cargo, so that the problems of disorder and reduction of storage space caused by repeated recording of the logistics information are avoided.
Preferably, the warehouse-out system 1 further includes:
the logistics data acquisition unit: the system is used for acquiring logistics information and monitoring the real-time state of a logistics vehicle; wherein,
the logistics information comprises: logistics mileage, logistics vehicle type, logistics vehicle consumption, logistics vehicle state, logistics transfer data, logistics transfer point state, logistics personnel consumption, logistics time consumption and logistics line state;
the real-time status includes: abnormal logistics state and normal logistics state;
abnormal monitoring unit of commodity circulation: the system is used for judging whether to carry out logistics transportation according to the logistics information when the logistics is in an abnormal state;
logistics cost accounting unit: when the logistics transportation is needed, the logistics cost accounting is carried out according to the logistics information; wherein,
the logistics cost accounting comprises: planning logistics cost accounting, performing logistics cost accounting and residual logistics cost accounting;
cost line union unit: the system is used for determining a warehouse logistics line according to the logistics information and logistics cost accounting, and establishing a combined verification mechanism based on cost consumption reduction and logistics progress; wherein,
the cost consumption reduction and logistics progress combined evidence-printing mechanism is used for determining logistics cost, reducing the logistics cost according to the logistics progress and determining real-time consumption cost and real-time remaining cost;
a logistics route re-planning unit: according to the real-time residual cost, carrying out logistics line re-planning and judging whether a first target line exists or not; wherein,
the cost of the first target line does not exceed the real-time remaining cost;
a line screening unit: the route priority calculation module is used for calculating the priority of the route when the first target route exists, determining the priority value and screening the target route with the highest priority value as a replanned route; wherein,
the highest priority value is that in the calculation of the line priority, a product sum is determined through the product of line time and time weight and the product of line cost and cost weight, and the maximum value of the product sum is the highest priority value;
a line reselection unit: and when the first target line does not exist, acquiring all lines which can be replanned, selecting the line with the lowest cost from all the lines as a replanned line, performing cost overflow calculation based on a cost consumption reduction and logistics progress combined evidence printing mechanism, and performing logistics personnel and logistics vehicle planning compression according to the cost overflow calculation.
The principle of the technical scheme is as follows:
in the prior art, when a user goes out of a warehouse, although the process is perfect, the user can see where the sent goods arrive, in that logistics, and when the goods are not transferred, the user can also see through software that the specific goods are not transferred, and why the goods are not transferred, but in the process of logistics system goods transfer, there are problems that the products are already delivered, and then the user finds that some abnormalities exist in the logistics line of the user, for example: logistics outage caused by epidemic, fire or flood; at this time, the product is generally directly returned to the shipper again, and the shipper carries out the shipment again; however, it is possible to actually plan a route and directly transfer goods at a transfer point, but in this case, the cost of logistics may be higher, which is also the reason why most logistics options are not distributed directly back.
Based on the above factors, the present invention needs to be improved, because it is mainly a cost issue, so the present invention can be optimized only from the cost, so that in this case, it is possible to allow the user to receive the product and also to prevent the high overflow of the cost. In the method, through monitoring the sulfur information, whether the vehicle encounters abnormal factors such as fire, heavy water and epidemic situations to cause the stop of goods and incapability of transportation is judged, in practice, a driver can select one route from planned routes and a logistics party selects one road, but alternative routes are certainly available, and both the alternative routes and the selected routes are within the logistics cost. After cost accounting, we can correspond to the logistics progress according to the cost already consumed in the logistics process, for example: reaching the third transit point, in the planning of the cost schedule, should be thirty percent cost spent, the logistics schedule is also thirty percent. In this way, cost consumption can be prevented from being too fast, and the logistics vehicle can be judged where the logistics vehicle runs at all based on the cost, and if the logistics vehicle is disconnected, the general place where the logistics vehicle is located can be judged through cost accounting. The first target line is a line within the residual cost budget, and when an abnormal event is met, a proper planning line can be selected through the line with the residual cost budget, and invalid and reactive logistics can not be generated for merchants and logistics companies due to the fact that direct return voyage is caused by the problem of abnormal lines. And when the cost is not lower than the residual cost, the overflow logistics cost is calculated, and then logistics personnel and logistics vehicles are compressed. The cost of the overflowed material flow can be kept as much as possible by compressing the material flow personnel and the material flow vehicles to prevent the cost from overflowing or ensure that the cost is within the preset cost exceeding the threshold value.
The invention has the beneficial effects that: the invention can plan a new route within the residual cost by recalculating the residual cost when the logistics vehicle cannot run through the preset planning route in the case of an abnormal condition, thereby preventing logistics loss and merchant loss caused by the return journey of the logistics vehicle. However, when the remaining cost is not enough to plan a new route, the invention reduces the cost by selecting a route with the least cost of overflow and then compressing logistics personnel and logistics vehicles in the logistics.
Preferably, the warehousing system 3 is further configured to perform information comparison on the ex-warehouse information data packet and the privacy information data packet, and perform warehousing verification;
the method comprises the following steps:
step 1: classifying and analyzing the ex-warehouse information data packets and the privacy information data packets, determining different types of ex-warehouse information, and generating an ex-warehouse information data set A and a privacy information data set B;
A＝{a 1 ，a 2 ，a 3 ……a i }
B＝{b 1 ，b 2 ，b 3 ……b j }
wherein, a i Type characteristics representing the ith type of ex-warehouse information; b is a mixture of j A type feature representing a jth type of privacy information; i =1,2,3 ...n; n represents the total variety number of the ex-warehouse information; j =1,2,3, ...m; m represents the total number of categories of the private information;
in step 1, the method mainly performs statistics on the ex-warehouse information data and the privacy information data to judge which types of data exist, for example: the method comprises the steps that shipper data, shipper face data, vehicle data, logistics personnel data and the like are analyzed to obtain warehouse information data packets and privacy information data packets, and then different types of data sets are generated, so that whether the data packets are the same or not is judged through comparison of the different types of data sets. The mode of the invention does not have the problem of packet loss rate through the comparison of the content under the type.
Step 2: according to the ex-warehouse information data set A and the privacy information data set B, a data correlation judgment model is constructed, and whether the data are the same or not is judged:
wherein q is i The content characteristics represent the ith type of ex-warehouse information; w is a j Content characteristics representing the jth class of privacy information; when X =1, the warehouse-out information data packet and the privacy information data packet are the same, and the warehouse-in is correct; and when X is not equal to 1, the warehouse-out information data packet is different from the privacy information data packet, and the warehouse entry is wrong.
In step 2, the mode of the invention is to perform comparison, and the mode of the comparison adopts a Tanimoto correlation algorithm, because the algorithm of the correlation degree is an algorithm for calculating intersection and union, the invention judges that any data packet between the ex-warehouse information data packet and the privacy information data packet contains all contents in other data packets, and the judgment result indicates that the two data packets are the same. a is i *q i And b j *w j The method is a calculation mode of multiplying the type by the content, and only under the condition that the type and the content are the same, the treasure can ensure that the data of the two are the same and the warehousing information has no error.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered as the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (7)
1. A logistics data conversion system based on cloud resources is characterized by comprising an ex-warehouse system (1), transmission systems (2) and a warehousing system (3) which are connected in sequence, wherein the ex-warehouse system (1) and the transmission systems (2), the adjacent transmission systems (2) and the warehousing system (3) are connected through data interaction systems (4), the adjacent data interaction systems (4) are connected with each other, and each data interaction system (4), the ex-warehouse system (1) and the warehousing system (3) are connected with a cloud database (5);
the cloud database (5) comprises a storage unit (51), a deletion unit (52) and a classification unit (53), the ex-warehouse system (1), the data interaction system (4) and the in-warehouse system (3) sequentially send logistics information to the storage unit (51) of the cloud database (5), the storage unit (51) is connected with the deletion unit (52), the deletion unit (52) is used for deleting logistics information stored at the previous time after next logistics information of the same cargo is deleted, the in-warehouse system (3) sends logistics information to the storage unit (51) and simultaneously sends a privacy information data packet and an ex-warehouse information data packet to the storage unit (51), the storage unit (51) is connected with the classification unit (53), and the classification unit (53) is used for classifying the logistics information, the privacy information data packet and the ex-warehouse information data packet;
the ex-warehouse system (1) further comprises:
the logistics data acquisition unit: the system is used for acquiring logistics information and monitoring the real-time state of a logistics vehicle; wherein,
the logistics information comprises: logistics mileage, logistics vehicle type, logistics vehicle consumption, logistics vehicle state, logistics transfer data, logistics transfer point state, logistics personnel consumption, logistics time consumption and logistics line state;
the real-time status includes: abnormal logistics state and normal logistics state;
abnormal monitoring unit of commodity circulation: the system is used for judging whether to carry out logistics transportation according to the logistics information when the logistics is in an abnormal state;
logistics cost accounting unit: when the logistics transportation is needed, the logistics cost accounting is carried out according to the logistics information; wherein,
the logistics cost accounting comprises: planning logistics cost accounting, performing logistics cost accounting and residual logistics cost accounting;
cost line association unit: the system is used for determining a warehouse logistics line according to the logistics information and logistics cost accounting, and establishing a combined verification mechanism based on cost consumption reduction and logistics progress; wherein,
the cost consumption reduction and logistics progress combined evidence verification mechanism is used for determining logistics cost, reducing the logistics cost according to the logistics progress and determining real-time consumption cost and real-time remaining cost;
a logistics route re-planning unit: according to the real-time residual cost, carrying out logistics line re-planning and judging whether a first target line exists or not; wherein,
the cost of the first target line does not exceed the real-time remaining cost;
a line screening unit: the first target line is used for calculating the line priority, determining the priority value and screening the target line with the highest priority value as a replanned line when the first target line exists; wherein,
the highest priority value is that in the calculation of the line priority, the product sum is determined through the product of line time and time weight and the product of line cost and cost weight, and the maximum value of the product sum is the highest priority value;
a line reselection unit: when the first target route does not exist, acquiring all routes which can be replanned, selecting the route with the lowest cost from all routes as a replanned route, performing cost overflow calculation based on a cost consumption calculation and logistics progress combined evidence-proofing mechanism, and performing logistics personnel and logistics vehicle planning compression according to the cost overflow calculation;
the warehousing system (3) is also used for carrying out information comparison on the ex-warehouse information data packet and the privacy information data packet and carrying out warehousing verification;
which comprises the following steps:
step 1: classifying and analyzing the ex-warehouse information data packets and the privacy information data packets, determining different types of ex-warehouse information, and generating an ex-warehouse information data set
And privacy information data set->
；
Wherein,
indicates the fifth->
Type characteristics of class ex-warehouse information; />
Indicates the fifth->
Type characteristics of the class privacy information;
；/>
representing the total number of categories of the warehouse-out information; />
；/>
A total number of categories representing private information;
step 2: according to the ex-warehouse information data set
And privacy information data set->
And constructing a data correlation judgment model, and judging whether the data are the same:
wherein,
indicates the fifth->
Content characteristics of class ex-warehouse information; />
Indicates the fifth->
Content characteristics of the privacy-like information; when/is>
When the information is stored in the database, the information data packet is stored in the database; when +>
And when the information data packet is not identical to the privacy information data packet, the information data packet is wrongly stored.
2. The cloud resource-based logistics data conversion system according to claim 1, wherein the ex-warehouse system (1) comprises an article data unit (11) and an ex-warehouse information data unit (12), the article data unit (11) is used for inputting, recording and outputting article data, the ex-warehouse information data unit (12) is used for collecting, verifying and transferring ex-warehouse and warehousing information, and the warehousing system (3) is used for receiving warehousing signing information and sending ex-warehouse information data packets and privacy information data packets which are transmitted to the warehousing system (3) to the cloud database (5) according to the signing information.
3. The cloud-resource-based logistics data conversion system according to claim 2, wherein the ex-warehouse information data unit (12) comprises a shipper information input unit (121), a facial image collection unit (122), a facial information recognition unit (123), and a privacy information data package generation unit (124), wherein the facial image collection unit (122) is connected to the facial information recognition unit (123) for collecting facial image information of the shipper and sending the facial image information of the shipper to the facial information recognition unit (123), the facial information recognition unit (123) recognizes a facial feature of the shipper and sends the facial feature information of the shipper to the privacy information data package generation unit (124), the shipper information input unit (121) is configured to record the identity information input by the shipper and send the identity information input by the shipper to the privacy information data package generation unit (124), and the privacy information data package generation unit (124) generates the personal information data package with the key according to record the identity information input by the shipper and the personal information package is verified and stored in the privacy information data package.
4. The cloud resource-based logistics data conversion system as claimed in claim 2, wherein the item data unit (11) comprises an item scanning unit (111), a delivery information input unit (112), a delivery information data packet generation unit (113) and a delivery order generation unit (114), the item scanning unit (111) is configured to scan and detect whether the delivered items belong to the items specified by the illegal logistics transportation, the delivery information input unit (112) is configured to allow the shipper to fill in the warehousing address, the relevant information of the consignee and the consignee contact way, and send the relevant information to the delivery information data packet generation unit (113), the delivery information data packet generation unit (113) generates a delivery information data packet, the delivery information data packet stores the warehousing address, the consignee and the consignee contact way, and records logistics information generated along with the flow of the delivery logistics, the delivery information data packet generation unit (113) is connected with the delivery order generation unit (114), and the delivery information data packet generation unit (113) generates the delivery order according to the warehousing address, the consignee contact way, the delivery information and the delivery information of the consignee and the delivery order generation unit (114) sends the delivery information to the virtual delivery order generation unit (114).
5. The logistics data conversion system based on cloud resources of claim 1, wherein the delivery system (2) comprises a code scanning device (21) and a locator (22), the delivery system (2) receives the outbound address information produced by the outbound system (1) through the code scanning device (21) and plans the outbound route according to the outbound address information, and the locator (22) records the outbound route and locates the position of logistics flow in real time.
6. The cloud resource-based logistics data conversion system according to claim 5, wherein the data interaction system (4) comprises a data packet moving-in unit (41), a data packet moving-out unit (42), a logistics information loading unit (43), a logistics information reading unit (44) and a logistics information output unit (45), the logistics information reading unit (44) reads logistics information of a next system and transmits the logistics information to the logistics information loading unit (43) and the logistics information output unit (45), the logistics information loading unit (43) records logistics information into a warehouse-out information data packet, the logistics information output unit (45) transmits logistics information to the internet, a shipper or a consignee inquires logistics information through the internet, the data packet moving-in unit (41) moves a privacy information data packet and a warehouse-out information data packet from a previous system into the data interaction system (4), the data packet moving-out unit (42) moves the privacy information data packet and warehouse-out information data packet in the data interaction system (4) to a next system, the data packet moving-out unit (22) reads the privacy information and triggers the logistics information positioning unit to move the logistics information and the logistics information.
7. A logistics data conversion method based on cloud resources, which is realized based on the system according to any one of claims 1 to 6, is characterized by comprising the following steps:
s101: the ex-warehouse system (1) generates logistics data, the logistics data are transferred to the data interaction system (4), and meanwhile logistics information is backed up to the cloud database (5);
s102: the data interaction system (4) reads the real-time logistics information provided by the transmission system (2), changes and updates the logistics data, transfers the logistics data according to the real-time logistics information, backs up the updated logistics information to the cloud database (5), and the cloud database (5) deletes the logistics information stored before;
s103: after the warehousing system (3) reads the goods and signs the goods, the logistics information and the logistics data are sent to the cloud database (5), and the cloud database (5) deletes the logistics data stored before.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210199337.4A CN114548879B (en) | 2022-03-01 | 2022-03-01 | Logistics data conversion system and method based on cloud resources |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210199337.4A CN114548879B (en) | 2022-03-01 | 2022-03-01 | Logistics data conversion system and method based on cloud resources |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114548879A CN114548879A (en) | 2022-05-27 |
| CN114548879B true CN114548879B (en) | 2023-04-18 |
Family
ID=81661821
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210199337.4A Active CN114548879B (en) | 2022-03-01 | 2022-03-01 | Logistics data conversion system and method based on cloud resources |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114548879B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115222339B (en) * | 2022-09-16 | 2023-01-03 | 广东广物互联网科技有限公司 | Cloud warehouse data analysis system and method based on cloud logistics environment |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6386780B2 (en) * | 2014-05-12 | 2018-09-05 | 株式会社日立システムズ | Delivery management method and delivery management system |
| KR20160038862A (en) * | 2014-09-30 | 2016-04-07 | 주식회사 로터스에코 | Waybill for protection of consignee information, system for managing product delivery and method for supporting product delivery using the same |
| CN107221094A (en) * | 2017-08-09 | 2017-09-29 | 电子科技大学 | A kind of information encryption and identification system for unmanned delivery equipment |
| CN107492036B (en) * | 2017-09-15 | 2020-12-01 | 大连丰泰保险信息咨询有限公司 | Insurance policy escrow system |
| CN110782202A (en) * | 2019-09-25 | 2020-02-11 | 广州花都宝井汽车钢材部件有限公司 | EDS management system |
| CN110765340A (en) * | 2019-10-21 | 2020-02-07 | 徐州工业职业技术学院 | Logistics information management system and method |
| CN112884255A (en) * | 2020-12-22 | 2021-06-01 | 华诚沿江国际物流(苏州)有限公司 | Intelligent logistics storage management system |
-
2022
- 2022-03-01 CN CN202210199337.4A patent/CN114548879B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN114548879A (en) | 2022-05-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110796405B (en) | System and method for automatic package tracking and prioritized re-ordering | |
| US9965739B2 (en) | Systems and methods for freight tracking and monitoring | |
| US20050216553A1 (en) | Mobile apparatus, method and system for delivery management | |
| CN105645013A (en) | Logistics delivery system and method | |
| US20120179621A1 (en) | Hazardous shipment tracking and monitoring | |
| US20070226088A1 (en) | Item management systems and associated methods | |
| CN1989513A (en) | Method and system for tracking assets in a transportation network | |
| CN104102991A (en) | Cargo transport process management and control realizing method, terminal and cargo transport process management and control realizing system | |
| CN102467703A (en) | Logistics management method, equipment and system based on cloud computing | |
| AU2020264282A1 (en) | Systems and methods for optimization of a product inventory by intelligent adjustment of inbound purchase orders | |
| CN102542425A (en) | Road cargo logistics information management system and method | |
| CN103229199A (en) | Dynamic route planning | |
| US20020103728A1 (en) | Bill of lading transmission and processing system for less than a load carriers | |
| CN114548879B (en) | Logistics data conversion system and method based on cloud resources | |
| CN104951915A (en) | Virtual liaison based real-time express delivery information system and device | |
| CN108062640A (en) | A kind of logistics integrity management system | |
| US11263643B2 (en) | Computer-implemented method for detecting fraudulent transactions using locality sensitive hashing and locality outlier factor algorithms | |
| CN113723919B (en) | Management system based on cloud platform | |
| CN111445184A (en) | Logistics transportation supervisory systems based on big data | |
| KR100706941B1 (en) | Automatic processing method for gathering and delivery information of home delivery commodities using a handy terminal | |
| KR102402417B1 (en) | Method for matching passenger of transportation with luggage information for transporting the luggage in distribution delivery service | |
| CN112465419A (en) | Logistics management method and device and storage medium | |
| KR20080108582A (en) | Item management systems and associated methods | |
| CN112766839B (en) | Convenient electronic payment system and method for railway freight station | |
| CN106886879A (en) | Logistic management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |