CN114500604A - Supply chain monitoring system based on intelligent perception and optimal transmission model - Google Patents

Supply chain monitoring system based on intelligent perception and optimal transmission model Download PDF

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CN114500604A
CN114500604A CN202210139929.7A CN202210139929A CN114500604A CN 114500604 A CN114500604 A CN 114500604A CN 202210139929 A CN202210139929 A CN 202210139929A CN 114500604 A CN114500604 A CN 114500604A
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supply chain
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李睿
李庆奎
范玲玲
王萌萌
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Beijing Information Science and Technology University
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    • H—ELECTRICITY
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Abstract

The invention discloses a supply chain monitoring system based on intelligent perception and an optimal transmission model, which comprises a user layer and a control layer; the user layer comprises suppliers, manufacturers and distributors; the control layer comprises a data input device, a manufacturing control device and a circulation control device; the supplier, the producer and the seller, the data input equipment, the manufacturing control equipment and the circulation control equipment are all connected with the data layer; the problem of development limitation and quantity limitation caused by regions is solved by realizing connection of everything.

Description

Supply chain monitoring system based on intelligent perception and optimal transmission model
Technical Field
The invention relates to the field of industrial supply chains, in particular to a supply chain monitoring system based on intelligent perception and an optimal transmission model.
Background
The present patent disclosure demonstrates an industrial supply chain control system. The system comprises a user layer, a control layer, a data layer and an internet transmission medium. Wherein the user layer includes raw material suppliers, manufacturers, distributors, and various levels of inventory sites. The control layer mainly comprises each module controller of the network control system and data reading and writing of each user. And a switching network control system based on a prediction period is adopted to control and regulate each node on the supply chain, and users at all levels read and write data through a Narrow-Band Internet of things (NB-IoT). The data layer adopts a block chain technology, and the whole data layer comprises a database, a network transmission medium and a hardware transmission medium. The database stores the control model and various model algorithms of the supply chain system and various input data of the user layer. The block chain technology ensures the reliability and the regional publicity of data.
With the development of the internet and the improvement of control mathematics, the advantages of network control applied to the supply chain system are more and more prominent. However, the problems associated therewith also need to be solved. The internet information is complicated and various and the information quantity is huge, and a block chain technology is adopted for the authenticity and effectiveness of the data. And meanwhile, users related to the whole supply chain can read and write data, and the health of the industry is ensured.
In addition to the traditional physical wired medium, the data transmission medium also adopts narrowband Band Internet of things (NB-IoT) as the wireless medium. Conventional practice is applied within each supply chain link point, such as between machines in a factory. And in data transmission between nodes, the NB-IoT is adopted for uploading and downloading data from the data layer by the nodes. In the era of everything interconnection, the transmission mode based on bluetooth wife has very big drawback, and coverage is narrow, and transmission range is short, can't satisfy supply chain system node many, transmission distance is long, data bulk requirement such as big.
The large advantage of NB-IoT of 4 makes it stand out in transmission mode, and firstly, the coverage area is wide, and NB-IoT based on cellular data network gains 20dB compared with the existing network, which means that it increases the coverage area by 100 times. Secondly, it supports many connection devices. In theory, one sector of NB-IoT can support 10 million connections. And if a site has three sectors, the site can support 30 ten thousand connections, and about 450 ten thousand sites exist in the world, and the demand of a supply chain system can be satisfied certainly. Meanwhile, the method supports low delay sensitivity, ultra-low equipment cost, low equipment power consumption and optimized network architecture. Thirdly, the power consumption is low, and the standby time of the terminal module can be as long as 10 years. And fourthly, the cost is low, the module cost of NB-IoT, and the expected cost of a single connected module by enterprises does not exceed 5 dollars, and the technology development cost is lower, so that the technology is popularized.
And (3) a data processing algorithm. The patent adopts an artificial ant colony algorithm to process data and finds out an optimal solution. The artificial ant colony algorithm is an intrinsic parallel algorithm, namely, each ant searches for a path respectively. The ant colony algorithm is a self-organizing algorithm, and the self-organizing algorithm is a process from disorder to order without external intervention. The ant colony algorithm has stronger robustness. The ant colony algorithm is a kind of positive feedback algorithm. As can be seen easily from the foraging process of real ants, ants can finally find the optimal path and directly depend on the pheromone accumulation on the path, and the pheromone accumulation is a positive feedback process.
The most common of network control systems is the problem of random delay and packet loss. An observer-based predictive network control approach is employed herein to address these issues.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a supply chain monitoring system based on intelligent sensing and an optimal transmission model, which realizes the connection of everything and solves the problems of development limitation and quantity limitation caused by regions.
The technical scheme provided by the invention is as follows:
the supply chain monitoring system based on intelligent perception and optimal transmission model comprises a user layer and a control layer; the user layer comprises suppliers, manufacturers and distributors; the control layer comprises a data input device, a manufacturing control device and a circulation control device; suppliers, manufacturers and distributors, data input devices, manufacturing control devices and circulation control devices are all connected to the data layer.
Preferably, the data layer includes a database and a system model library.
Preferably, the data of the control layer includes: a control platform, a database and a web server; and data transmission of the control layer is that the control platform transmits data to the database and transmits the data to the web server.
Preferably, the data of the data layer includes: the system comprises a Web server, a cloud server and a base station; and data transmission of the data layer is that the Web server transmits data to the cloud server, and the cloud server transmits the data to the base station.
Preferably, the data of the user layer includes: a base station, an NB-IoT terminal and a user layer; and the data transmission of the user layer is that the base station transmits data to the NB-IoT terminal, and the NB-IoT terminal transmits the data to the user layer.
Preferably, the algorithm adopted by the data layer is an artificial ant colony algorithm, and the expression is as follows:
Figure BDA0003506362640000031
in the formula (I), the compound is shown in the specification,
Figure BDA0003506362640000032
denotes the probability of selecting a node, Jk(i) Represents the next selectable set, [ tau ]ij(t)]Indicates the amount of pheromone, ηisThe indication of the length of the journey may be exchanged for transportation costs.
The supply chain monitoring system based on the intelligent sensing and optimal transmission model has the following beneficial effects:
1. in the face of the existing supply chain node, the transmission distance is short, the NB-IoT is adopted for improvement, and development limitation and quantity limitation caused by regions are really solved by connecting everything.
2. The invention ensures the data accuracy for the regional chain technology between the upstream and downstream users of the supply chain.
3. The information can not be separated in service operation, and the higher the information receiving speed is, the more accurate the content is, and the more favorable the service operation is.
4. The present invention employs blockchains, which are an ideal choice for communicating such information, because it can provide instant, shared, and completely transparent information that is stored on a non-tamperproof ledger and can only be accessed by licensed network members, thus addressing the public authenticity validity required by the supply chain system.
5. The invention adopts the artificial ant colony algorithm to process data, finds out the optimal solution, realizes the maximum benefit requirement required by the whole system or a user, and solves the problems of network control systems such as random delay, data packet loss and the like.
Drawings
FIG. 1 is a system model diagram.
Fig. 2 is a flow chart of an artificial ant colony algorithm.
Fig. 3 is a supply chain system improvement diagram.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined by the appended claims, and all changes that can be made by the invention using the inventive concept are intended to be protected.
1. System model
The supply chain system has a user layer, a data layer, and a control layer as shown in fig. 1. The user layer includes suppliers, manufacturers, vendors, various levels of node storage sites, and supervisor departments. The data layer includes a database and a system model library. The data layer is used for storing data generated by each node and supply chain operation related data. The system model library is used for storing data processing algorithms and various control algorithms such as cascade control, switching control, predictive network control and the like. The data layer adopts the block chain technology to read and write data, and the data record of the block chain comprises all information during data input, so that the authenticity of the data is ensured. And meanwhile, the user can also consult all relevant information during data reading. The control layer comprises equipment for manufacturing management, equipment for circulation management, equipment for sales management and prediction output of various data and a network control layer.
2. And (5) data transmission.
Compared with the traditional control system, the network control system has more network transmission data.
The network wireless transmission is used for replacing the traditional limited physical transmission, the regional limitation is solved, the supply chain system is only limited in a certain region, and different production and sales links of all regions can be mobilized.
NB-IoT is adopted as the technical means of data transmission.
For the control layer
Control platform-database-web server
For the data layer:
web server-cloud server-base station
For field control:
base station-NB-IoT terminal-user layer, which is the entire data transmission path from the field device to the control platform such as app, etc.;
when the block chain technology is adopted, the system does not have a central server, and each node is a server for data sharing.
In the process of collecting data by the NB-IoT and the like, different data types are designed according to different users for uploading data by the NB-IoT terminal.
3 Algorithm design
And performing data processing on the data of the operation data of the whole supply chain system transmitted by Nblot through the network, so as to design related data to be controlled to achieve optimization and obtain the maximum profit. The patent adopts an artificial ant colony algorithm to search for an optimization method. For supply chain systems, the greatest gain is sought under certain premises, i.e. the short greatest gain is not sought in one piece. The premise under the operation of the supply chain system is that the whole system needs to be stable and effective and can bear certain risk capacity. The algorithm achieves an optimal solution on the premise of stability and risk resistance.
Figure BDA0003506362640000061
In the formula (I), the compound is shown in the specification,
Figure BDA0003506362640000062
denotes the probability of selecting a node, Jk(i) Represents the next selectable set, [ tau ]ij(t)]Indicates the amount of pheromone, ηisIndicating that the path length can be converted to transportation costs.
A flow chart of the algorithm is shown in figure 2,
and finding the optimal solution with the highest cost. The nodes are the nodes and their parameters in the supply chain. As shown in table 1 below
TABLE 1
Figure BDA0003506362640000063
4. Supply chain system improvement-prediction network model control method
A number of problems are encountered in internet-based supply chain systems, with packet loss and random large delays being problems that are often encountered by the system. The system adopts a control method of a prediction network model to improve.
As shown in fig. 3, after the observer is added, when the packet loss and the random large delay occur, the system adjusts the system according to the predictor so that the system operates stably, thereby improving the stability and the risk resistance of the system.
Wherein C1 and C2 represent controllers 1 and 2, P1 and P2 represent two links 1 and 2 of the system, S1 and S2 represent sensors 1 and 2, and the network link is loaded in the whole process.

Claims (6)

1. The supply chain monitoring system based on intelligent perception and an optimal transmission model is characterized by comprising a user layer and a control layer; the user layer comprises suppliers, manufacturers and distributors; the control layer comprises a data input device, a manufacturing control device and a circulation control device; the suppliers, manufacturers and distributors, the data input equipment, the manufacturing control equipment and the circulation control equipment are all connected with the data layer.
2. The system according to claim 1, wherein the data layer comprises a database and a system model library.
3. The supply chain monitoring system based on intelligent perception and optimal transmission model according to claim 1, wherein the data of the control layer comprises: a control platform, a database and a web server; and the data transmission of the control layer is that the control platform transmits the data to the database and transmits the data to the web server.
4. The supply chain monitoring system based on intelligent perception and optimal transmission model according to claim 1, wherein the data of the data layer comprises: the system comprises a Web server, a cloud server and a base station; and data transmission of the data layer is that the Web server transmits data to the cloud server, and the cloud server transmits the data to the base station.
5. The system according to claim 1, wherein the data at the user level comprises: a base station, an NB-IoT terminal and a user layer; and the data transmission of the user layer is that the base station transmits data to the NB-IoT terminal, and the NB-IoT terminal transmits the data to the user layer.
6. The supply chain monitoring system based on intelligent perception and optimal transmission model according to claim 1, wherein the algorithm adopted by the data layer is artificial ant colony algorithm, and the expression is as follows:
Figure FDA0003506362630000011
in the formula (I), the compound is shown in the specification,
Figure FDA0003506362630000012
denotes the probability of selecting a node, Jk(i) Represents the next selectable set, [ tau ]ij(t)]Indicates the amount of pheromone, ηisThe indication of the length of the journey may be exchanged for transportation costs.
CN202210139929.7A 2022-02-16 2022-02-16 Supply chain monitoring system based on intelligent perception and optimal transmission model Pending CN114500604A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106993059A (en) * 2017-05-25 2017-07-28 湖州中科星农科技有限公司 A kind of agriculture feelings monitoring system based on NB IoT
CN108346059A (en) * 2018-01-26 2018-07-31 广东工业大学 A kind of agri-food supply chains traceability system based on block chain
CN109120457A (en) * 2018-09-13 2019-01-01 余利 The method for processing business of the intelligent cloud of framework is defined based on distributed software

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106993059A (en) * 2017-05-25 2017-07-28 湖州中科星农科技有限公司 A kind of agriculture feelings monitoring system based on NB IoT
CN108346059A (en) * 2018-01-26 2018-07-31 广东工业大学 A kind of agri-food supply chains traceability system based on block chain
CN109120457A (en) * 2018-09-13 2019-01-01 余利 The method for processing business of the intelligent cloud of framework is defined based on distributed software

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