CN114189541A - Supply chain control system based on NB-IoT and prediction network model - Google Patents
Supply chain control system based on NB-IoT and prediction network model Download PDFInfo
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The invention is suitable for the related field of industrial supply chains, and provides a supply chain control system based on NB-IoT and a prediction network model, which comprises a user layer, a data layer and a control layer, wherein the user layer comprises suppliers, manufacturers, sellers, node storage sites at all levels and supervisor departments, the data layer comprises a database and a system model base, the control layer comprises manufacturing control equipment, circulation control equipment and data input equipment, the database is used for storing data generated by all nodes and supply chain operation related data, and the system model base is used for storing data processing algorithms and various control algorithms.
Description
Technical Field
The invention relates to the field of industrial supply chain, in particular to a supply chain control system based on NB-IoT and a prediction network model.
Background
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 brought by the network control are also needed 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 a narrowband Band Internet of Things (NB-IoT) as a 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 wifi has very big drawback, and the coverage is narrow, and transmission range is short, can't satisfy supply chain system node many, and transmission distance is long, data volume needs such as big.
The existing supply chain system has few nodes and short transmission distance, is difficult to ensure that information is quickly received and the received content is accurate, is not beneficial to business operation, and is difficult to ensure the validity of the openness and the authenticity of the information. Therefore, in view of the above situation, there is an urgent need to provide a supply chain control system based on NB-IoT and a predictive network model to overcome the shortcomings in the current practical application.
Disclosure of Invention
An object of an embodiment of the present invention is to provide a supply chain control system based on NB-IoT and a predictive network model, aiming to solve the following problems: the network controls the authenticity of system data and solves the bullwhip effect (block chain technology); the existing network control system has the disadvantages of few nodes, short transmission distance, high equipment cost and small coverage area (NB-IoT technology) due to technical limitation; large skew of the network control system and packet loss problems (predictive network compensation).
The embodiment of the invention is realized in such a way that a supply chain control system based on NB-IoT and prediction network models comprises a user layer, a data layer and a control layer, wherein the user layer comprises suppliers, manufacturers, sellers, node storage sites of all levels and supervisor departments, the data layer comprises a database and a system model library, the control layer comprises manufacturing control equipment, circulation control equipment and data input equipment, the database is used for storing data generated by each node and supply chain operation related data, and the system model library is used for storing data processing algorithms and various control algorithms.
The supply chain control system based on the NB-IoT and the prediction network model further comprises a network control system, the network control system realizes network transmission of data among the user layer, the data layer and the control layer through an NB-IoT technology, and in the process of data acquisition of the NB-IoT, different data type codes are designed according to different users for data uploading of the NB-IoT terminal.
The data layer performs data processing on data transmitted by the network control system, so that related data is designed to be controlled to achieve optimization, and an optimization method is searched through an artificial ant colony algorithm, wherein the optimization method specifically comprises the following steps:
when J is equal to Jk(i) When the temperature of the water is higher than the set temperature,
representing the probability of selecting a node; j. the design is a squarek(i) Represents a next selectable set; [ tau ] toij(t)]αIs the pheromone amount; etaisThe distance can be converted into transportation cost.
The supply chain control system based on the NB-IoT and the prediction network model further comprises a network cascade control system, wherein the network cascade control system comprises a main controller, a secondary controller, a main object, a secondary object, a main detector, a secondary observer, a main sensor, a secondary sensor and a prediction selector, the prediction selector is arranged in front of the main object and the secondary object, and network transmission links in the network control system are arranged between the main controller and the secondary object and between the main observer and the secondary sensor.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
NB-IoT is adopted as a technical means of data transmission, so that the problem of development limitation and quantity limitation caused by regions is solved;
an artificial ant colony algorithm is adopted for data processing, an optimal solution is found, and the maximum benefit requirement required by the whole system or a user is conveniently realized;
the network cascade control system is adopted to effectively solve the problems of random delay, data packet loss and other network control systems during data network transmission;
the database reads and writes data by adopting a block chain technology, and the data record of the block chain comprises all information during data input, so that the authenticity of the data is ensured.
Drawings
Fig. 1 is a schematic diagram of a supply chain control system according to an embodiment of the invention.
Fig. 2 is a schematic algorithm flow diagram according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a network cascade control system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
Referring to fig. 1, a supply chain control system based on NB-IoT and a predictive network model according to an embodiment of the present invention includes a user layer, a data layer, and a control layer, where the user layer includes suppliers, manufacturers, vendors, node storage sites at each level, and a supervisor department, the data layer includes a database and a system model library, the control layer includes a manufacturing control device, a circulation control device, and a data input device, the database is used to store data generated by each node and supply chain operation related data, and the system model library is used to store a data processing algorithm and various control algorithms.
Specifically, various control algorithms comprise cascade control, switching control, prediction network control and the like, a database reads and writes data by adopting a block chain technology, data records of a block chain contain all information during data input, the authenticity of the data is ensured, and meanwhile, a user can look up all relevant information during data reading; the database is used for storing information of each level of node storage sites of the user layer and information of the control layer, and the control algorithm of the system model base can be cascade control, switching control, predictive network control and the like.
In an embodiment of the present invention, please refer to fig. 1, further including a network control system, where the network control system implements network transmission of data among a user layer, a data layer, and a control layer through an NB-IoT technology, and in an NB-IoT data acquisition process, an NB-IoT terminal uploads data and designs different data type codes according to different users.
Specifically, compared with the traditional control system, the network control system has more network transmission data, replaces the traditional limited physical transmission by using network wireless transmission, and solves the regional limitation, so that the supply chain system is not only limited to a certain region, and different production and sales links of each region can be mobilized, and the NB-IoT is used as a technical means of data transmission, so that the problem of development limitation and quantity limitation caused by the region is solved by connecting everything, wherein one sector of the NB-IoT can support 10 thousands of connections, and the NB-IoT technology supports low delay sensitivity, ultralow equipment cost, low equipment power consumption and an optimized network architecture;
data transmission path
1. For the control layer:
control platform-database-wed server;
2. for the information network layer:
web server-base station;
3. for field control:
base station-NB-IoT terminal-control application layer;
when the block chain technology is adopted, the system does not have a central server, and each node is a server for data sharing;
for example, NB-IoT data transmission at a provider node is designed as follows:
1. equipment code: the data code is used for distinguishing the data code from which user and which equipment, the equipment code adopts 2 bytes, the upper 8 bits are used for distinguishing the user, and the lower 8 bits are used for distinguishing the equipment information;
2. function code: further explanation is made on the type of data, the role of unit data of data, and the like;
3. length code: the length of the data is not limited, and a length code is needed to explain the length of the data;
4. data code: the body and content of the data is transmitted. There is no limitation on the length;
5. verification code: for data authenticity, a verification code is designed for security.
In an embodiment of the present invention, referring to fig. 2, the data layer performs data processing on data transmitted by the network control system, so as to design related data to be controlled to achieve optimization, and the finding optimization method by the artificial ant colony algorithm specifically includes:
when J is equal to Jk(i) When the temperature of the water is higher than the set temperature,
representing the probability of selecting a node, such as a choice of supplier, a choice of factory production, a choice of vendor; the greater the probability, the greater the likelihood of selection; j. the design is a squarek(i) Represents a next selectable set; [ tau ] toij(t)]αIs the pheromone amount; etaisThe distance can be converted into transportation cost.
Specifically, the nodes are each node and its parameter on the supply chain; the artificial ant colony algorithm is used for processing data, so that an optimal solution is convenient to find, wherein the artificial ant colony algorithm is an intrinsic parallel algorithm, namely, each ant searches a path, the ant colony algorithm is a self-organizing algorithm without external intervention and a process from disorder to order, the ant colony algorithm has strong robustness, and the ant colony algorithm is a positive feedback algorithm and is a process of positive feedback through the accumulation of pheromones on the paths.
In an embodiment of the present invention, please refer to fig. 3, further comprising a network cascade control system, wherein the network cascade control system comprises a main controller, a secondary controller, a main object, a secondary object, a main detector, a secondary observer, a main sensor, a secondary sensor, and a prediction selector, the prediction selector is disposed in front of the main object and the secondary object, and a network transmission link in the network control system is disposed between the main controller and the secondary object and between the main observer and the secondary sensor.
Specifically, the prediction selector is used for compensating the influence of time lag, data packet loss and other problems brought by introducing a communication network on the system, and after the primary observer and the secondary observer are added, when data packet loss and random large delay occur, the system can adjust the system according to the predictor so that the system can stably operate and the stability and the risk resistance of the system are improved; and designing a specific prediction selector by giving an H-infinity performance index gamma and a pole allocation method.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (4)
1. The supply chain control system based on the NB-IoT and the prediction network model is characterized by comprising a user layer, a data layer and a control layer, wherein the user layer comprises suppliers, manufacturers, sellers, node storage sites of all levels and supervisor departments, the data layer comprises a database and a system model library, the control layer comprises manufacturing control equipment, circulation control equipment and data input equipment, the database is used for storing data generated by all nodes and supply chain operation related data, and the system model library is used for storing data processing algorithms and various control algorithms.
2. The supply chain control system based on the NB-IoT and the predictive network model according to claim 1, further comprising a network control system, wherein the network control system implements network transmission of data among the user layer, the data layer, and the control layer through NB-IoT technology, and in the NB-IoT data collection process, different data type codes are designed according to different users for NB-IoT terminal uploading data.
3. The NB-IoT and predictive network model-based supply chain control system as claimed in claim 1, wherein the data layer performs data processing on data transmitted from the network control system to design related data for control and optimization, and the method for finding the optimization through an artificial ant colony algorithm specifically comprises:
when J is equal to Jk(i) When the temperature of the water is higher than the set temperature,
representing the probability of selecting a node; j. the design is a squarek(i) Represents a next selectable set; [ tau ] toij(t)]αIs the pheromone amount; etaisThe distance can be converted into transportation cost.
4. The NB-IoT and predictive network model-based supply chain control system as recited in claim 1, further comprising a network cascade control system comprising a primary controller, a secondary controller, a primary object, a secondary object, a primary detector, a secondary observer, a primary sensor, a secondary sensor, and a predictive selector disposed in front of the primary object and the secondary object, wherein network transmission links within the network control system are disposed between the primary and secondary controllers and between the primary and secondary observers and the primary and secondary sensors.
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- 2021-11-23 CN CN202111394702.9A patent/CN114189541A/en active Pending
Patent Citations (4)
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| CN101493329A (en) * | 2008-01-23 | 2009-07-29 | 华东师范大学 | Multiple target point path planning method and device |
| 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 |
| CN111654364A (en) * | 2020-07-06 | 2020-09-11 | 重庆知翔科技有限公司 | Method for realizing data safety communication by using block chain encryption technology |
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