Big data intelligent rating and sampling rate calculation system for customs clearance of goods
A computing system and big data technology, applied in computing, data processing applications, complex mathematical operations, etc., can solve problems affecting customs clearance efficiency, waste of manpower and material resources, cargo inspection, etc., to avoid weakening border information, improve efficiency, and fully Take advantage of guaranteed effects
Inactive Publication Date: 2019-06-14
CHONGQING PUBLIC TRANSPORTATION CAREER ACADEMY
View PDF9 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
For the customs clearance inspection of goods with a heavy workload, customs staff cannot conduct all inspections of all goods, which not only wastes manpower and material resources, but also seriously affects the efficiency of customs clearance
The random sampling inspection method can save manpower and improve the efficiency of customs clearance, but the sampling inspection for different enterprises and different goods with the same sampling rate is a waste of manpower, and there are insufficient inspections for goods of enterprises with poor reputation.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0020] Such as figure 1 As shown, the cargo customs empathy big data intelligent platform and sampling rate calculation system include input data generation, feature extraction network, credit rating network and sampling rate output network.
[0021] The feature extraction network uses the VGG16 standard convolutional neural network structure;
[0022] The credit rating evaluation network is composed of a full connection layer and a loss function calculation layer, and the loss function in the loss function calculation layer is a softmax loss function;
[0023] The output feature dimension of the full link layer of the credit rating evaluation network is 1 by 10, which corresponds to the 10 credit rating ratings respectively;
[0024] The sampling rate output network adopts the support vector machine, the input is the output of each credit rating confidence sub-sequence of the credit rating network and the current total amount of customs clearance goods, and the output is the...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The system includes input data generation, feature extraction network, credit rating network and sampling rate output network. The model is used to evaluate the credit rating and calculate the sampling rate automatically, which reduces the responsibility of customs clearance and improves the efficiency. At that same time, the intelligent grade and sampling rate compute system of the big data of the cargo customs clearance is used to compute the indexes of the cargo customs clearance of the enterprise custom in recent years, Through the analysis and collation of big data, the credit rating andsampling rate calculation results are more accurate and reasonable, ensuring different goods, different enterprises targeted sampling inspection.
Description
technical field [0001] The invention relates to a big data intelligent system, in particular to a cargo customs clearance big data intelligent rating and sampling rate calculation system. Background technique [0002] Customs clearance inspection is a complicated but vital work for the interests of the country and the people, among which the customs clearance inspection of goods is the most arduous. For the customs clearance inspection of goods with a heavy workload, customs staff cannot conduct all inspections of all goods, which not only wastes manpower and material resources, but also seriously affects the efficiency of customs clearance. The random sampling inspection method can save manpower and improve the efficiency of customs clearance, but the sampling inspection of different enterprises and different goods with the same sampling rate is a waste of manpower, and there are insufficient inspections of goods from enterprises with poor reputation. Contents of the inve...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16G06Q10/08G06Q10/06
CPCG06F17/16G06Q10/06393G06Q10/0831G06Q10/0838
Inventor 刘康
Owner CHONGQING PUBLIC TRANSPORTATION CAREER ACADEMY