A foreign trade information processing method and system
Patent Information
- Application Number
- CN202411121214.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-15
- Publication Date
- 2024-12-10
- Estimated Expiration
- 2044-08-15
AI Technical Summary
The existing foreign trade information processing system lacks protection during information transmission, resulting in information leakage and causing serious losses to enterprises or individuals.
By verifying and classifying the obtained foreign trade information, analyzing network fluctuations, dividing data packets and encrypting them, transmitting them in combination with data characteristics and network fluctuations, generating data transmission information, and capacity reduction is performed based on the maximum transmission flux. Improve transmission security.
It improves the security of foreign trade information transmission, reduces the possibility of data leakage, and allows abnormal data and error information to be sorted and displayed separately, enhancing the protection and transmission security of information.
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Figure CN118627766B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of information processing, and in particular to a foreign trade information processing method and system. Background Art
[0002] With the development of electronic information, in order to unify the form of foreign trade documents in foreign trade business, unified foreign trade documents can be provided through platform software, which saves users time in making foreign trade documents and also facilitates the review work of auditors.
[0003] According to the application number CN201910499689.X, a foreign trade information processing method and system are disclosed, and the method includes the following steps: receiving product information uploaded by a first client; after determining that the product information meets the first review requirements, receiving the foreign trade documents uploaded by the first client; generating customs declaration information according to the product information and the foreign trade documents, and sending the customs declaration information to the customs broker, so that the customs broker generates a customs declaration form and a release notice according to the customs declaration information; after receiving the customs declaration form and the release notice uploaded by the customs broker, monitoring the foreign exchange payment information of the second client; obtaining the foreign exchange rate information according to the foreign exchange payment information uploaded by the second client; sending the foreign exchange payment information and the foreign exchange rate information to the first client, so that the first client displays the foreign exchange payment information and the foreign exchange rate information.
[0004] The above patent allows users to settle foreign exchange after viewing the latest exchange rate information on the first client, thereby reducing users' exchange rate difference losses. Since foreign trade information is vital to both enterprises and individuals, the transmission of foreign trade information is particularly important. However, some existing foreign trade information processing systems do not protect the transmission of foreign trade information well when in use, which may lead to information leakage during the transmission of foreign trade information, further causing serious losses to enterprises or individuals. Summary of the invention
[0005] In view of the deficiencies of the prior art, the present invention provides a foreign trade information processing method and system, which solves the problem of information leakage caused by poor transmission protection when transmitting foreign trade information.
[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a foreign trade information processing method, the method specifically comprises the following steps:
[0007] Step 1: Verify the acquired foreign trade information to obtain correct verification results and incorrect verification results, analyze the incorrect verification results, correct the corresponding incorrect foreign trade information and sort out the abnormal data;
[0008] Step 2: Analyze the correct verification results, classify the current foreign trade information into the same type, sort the same type of foreign trade information by time, and segment the same type of foreign trade information by time to obtain time segment information;
[0009] Step 3: Process the generated time segment information, and judge the network fluctuation to obtain network information, and the network information includes stable information and unstable information. At the same time, analyze the network fluctuation corresponding to the stable information and calculate the periodic transmission time, analyze the network fluctuation corresponding to the unstable information, and segment the time period data to obtain the data segmentation package;
[0010] Step 4: Analyze the obtained periodic transmission time, and divide the time period data into data segmentation packets according to the current network fluctuation situation, and transmit and process the data segmentation packets to obtain data transmission information;
[0011] Step 5: Perform transmission analysis on the data segmentation packets obtained through unstable information analysis and processing, calculate the eigenvalues of the data segmentation packets, and randomly generate encrypted packets based on the eigenvalues. Perform transmission analysis based on the maximum transmission flux to generate data transmission information and secondary analysis signals, and perform transmission analysis based on the deleted capacity difference to generate data transmission information.
[0012] As a further solution of the present invention: the specific method of obtaining abnormal data in step 1 is:
[0013] Obtain the current foreign trade information and the corresponding verification information, and match the current foreign trade information with the verification information to determine whether there is an error. If not, generate a correct verification result; otherwise, generate an incorrect verification result;
[0014] For the generated verification error results, the current foreign trade information is screened for errors based on the verification information, and the screened error information is sorted out to obtain abnormal data.
[0015] As a further solution of the present invention: the specific method of obtaining the time segment information in step 2 is:
[0016] Obtain all foreign trade information, and classify it according to the data type of the foreign trade information. Obtain any data type for analysis, and use the selected data type as the analysis object. Label all data in the analysis object as i, and i=1, 2, ..., j, where j represents the number of data in the analysis object. Obtain the timestamp Ti corresponding to the data i, and sort the data i according to the timestamp Ti.
[0017] Then, the data i sorted by timestamp is segmented into time periods, with time period T1 as the dividing point, and the data i is segmented according to time period T1 to obtain time period data, and time segment information is generated at the same time.
[0018] As a further solution of the present invention: In step 3, the specific method of analyzing the network fluctuation corresponding to the unstable information and segmenting the time period data to obtain the data segmentation package is:
[0019] Analyze the transmission network, obtain the current network fluctuation situation, and classify the current network fluctuation situation into stable and unstable, and generate stable information and unstable information. If the current network fluctuation situation is classified as stable, obtain the data capacity of the time period data, and calculate the mean value of the current network fluctuation within time t1, then calculate the transmission time of the time period data, and generate the periodic transmission time;
[0020] If the current network fluctuation is classified as unstable, obtain the minimum and maximum fluctuation values of the current network fluctuation within time t1, calculate the mean of the sum of the minimum and maximum fluctuation values, and segment the time period data using the mean to obtain a data segmentation package.
[0021] As a further solution of the present invention: the specific method of performing transmission processing on the data segmentation packet in step 4 to obtain data transmission information is:
[0022] Get the mean value of the current network fluctuation within time t1, and divide the time period data based on the mean value to obtain data segmentation packages, and label the data segmentation packages as a, where a=1, 2, ..., b, where b represents the number of data segmentation packages, then divide the transmission time equally with time t2 as a period to obtain multiple transmission time periods, and label the transmission time periods as n, where n=1, 2, ..., m, where m represents the number of transmission time periods;
[0023] The maximum value of the current network fluctuation within the transmission time period n is obtained in order of the labels, and the numerical parity of the maximum value is determined. When the maximum value is an odd number, the maximum transmission flux within the time period t2 is obtained, and the odd-numbered data segmentation packets with the same capacity as the maximum transmission flux are obtained for transmission, and data transmission information is generated at the same time. When the maximum value is an even number, the even-numbered data segmentation packets with the same capacity as the maximum transmission flux are obtained for transmission, and data transmission information is generated at the same time.
[0024] As a further solution of the present invention: the specific method of performing transmission analysis according to the maximum transmission flux in step 5 to generate data transmission information and secondary analysis signals is:
[0025] Get the data segmentation package corresponding to the unstable information and label it as k, where k=1, 2, ..., p, where p is the number of data segmentation packages. At the same time, get the data capacity Lk corresponding to the data segmentation package k, and get the data quantity corresponding to the time period data as C. Then substitute the obtained parameters into the formula Calculate the eigenvalue Q corresponding to the time period data, and randomly generate an encrypted packet with the same data capacity as the eigenvalue;
[0026] Then, the generated encrypted package is combined with the data segmentation package k to obtain a combined package, and the maximum transmission flux corresponding to the current network fluctuation is obtained. At the same time, the data capacity of the combined package is compared with the maximum transmission flux. When the data capacity of the combined package is greater than the maximum transmission flux, a secondary analysis signal is generated. Conversely, when the data capacity of the combined package is less than the maximum transmission flux, the combined package is directly transmitted and data transmission information is generated.
[0027] As a further solution of the present invention: the specific method of analyzing the secondary analysis signal in step 5 is:
[0028] The capacity of the combination package is reduced based on the maximum transmission flux, and the specific reduction method is: calculate the difference between the maximum transmission flux and the data capacity of the combination package, and judge the parity of the difference. If the difference is an odd number, the encrypted packets are reduced in the corresponding difference capacity from front to back; if the difference is an even number, the encrypted packets are reduced in the corresponding difference capacity from back to front, and the reduced combination package is transmitted, and data transmission information is generated at the same time.
[0029] A foreign trade information processing system comprises a foreign trade information collection unit, a foreign trade information verification unit, a verification correctness analysis unit, a transmission analysis unit and an information output unit;
[0030] The foreign trade information collection unit is used to collect current foreign trade information and transmit the collected current foreign trade information to the foreign trade information verification unit.
[0031] A foreign trade information verification unit, which is used to verify the current foreign trade information obtained according to the verification information and generate a correct verification result and an incorrect verification result, and to sort out the current foreign trade information corresponding to the incorrect verification result to obtain abnormal data, and at the same time transmit the correct verification result to the correct verification analysis unit;
[0032] A verification and analysis unit is used to analyze the obtained verification and analysis results, classify the current foreign trade information into the same type and sort them by time, and divide the same type of foreign trade information into time periods to obtain time segment information, and transmit the time segment information to the transmission and analysis unit;
[0033] A transmission analysis unit, which is used to analyze the acquired time segment information, obtain stable information and unstable information by judging the network fluctuation, analyze the network fluctuation corresponding to the stable information and calculate the periodic transmission time, analyze the network fluctuation corresponding to the unstable information, segment the time segment data to obtain data segmentation packets, and the processing method here is the same as the analysis method of step three in embodiment one, analyze the obtained periodic transmission time, and segment the time segment data according to the current network fluctuation situation to obtain data segmentation packets, and at the same time perform transmission processing on the data segmentation packets to obtain data transmission information;
[0034] Performing transmission analysis on the data segmentation packets obtained by unstable information analysis and processing, calculating the characteristic values of the data segmentation packets, and randomly generating encrypted packets according to the characteristic values, performing transmission analysis according to the maximum transmission flux to generate data transmission information and secondary analysis signals, performing transmission analysis according to the deleted capacity difference to generate data transmission information, and transmitting the data transmission information to the information output unit;
[0035] An information output unit is used to store the acquired data transmission information.
[0036] Beneficial effects:
[0037] The present invention provides a foreign trade information processing method and system. Compared with the prior art, it has the following beneficial effects:
[0038] The present invention verifies the acquired foreign trade information and separately extracts and integrates the abnormal information, so as to display it for the corresponding personnel to watch. For the transmission of foreign trade information, it is classified according to the data type and divided into different time periods. Then, the transmission encryption analysis is performed according to the foreign trade information data corresponding to the different time periods and the network fluctuation conditions. In the process of transmission encryption, the data is encrypted in combination with its own characteristics, and the transmission cycle is reasonably designed according to the data capacity, so as to improve the security of data transmission and reduce the possibility of data leakage. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 It is a method diagram of the present invention;
[0040] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION
[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0042] For example, see Figure 1 The present application provides a method for processing foreign trade information, which specifically includes the following steps:
[0043] Step 1: Verify the acquired foreign trade information to obtain the correct verification results and the incorrect verification results, analyze the incorrect verification results, correct the corresponding incorrect foreign trade information and sort out the abnormal data. The specific processing methods are as follows:
[0044] Obtain the current foreign trade information and the corresponding verification information, where the verification information refers to the data information pre-existing in the system for verifying the foreign trade information. At the same time, match the current foreign trade information with the verification information to determine whether there is an error. If not, generate a correct verification result, otherwise generate an incorrect verification result;
[0045] For the generated verification error results, the current foreign trade information is screened based on the verification information, and the screened error information is sorted to obtain abnormal data. The sorting here means sorting the same batch of information corresponding to the error information. For example, if the error information is that there is an error in time, the goods, destination, starting point and other series of information corresponding to the time are comprehensively sorted to obtain abnormal data.
[0046] Step 2: Analyze the correct verification results, classify the current foreign trade information into the same type, sort the same type of foreign trade information by time, and segment the same type of foreign trade information by time to obtain time segment information. The specific segment processing method is:
[0047] All foreign trade information is obtained, and classified according to the data type of the foreign trade information. The classification here is specifically represented by uniformly classifying the data of the chart type, uniformly classifying the data of the digital type, and so on for the same type classification. At the same time, any data type is obtained for analysis, and the selected data type is used as the analysis object. All data in the analysis object are labeled as i, and i=1, 2, ..., j, where j represents the number of data in the analysis object. At the same time, the timestamp Ti corresponding to the data i is obtained, and the data i is sorted according to the timestamp Ti;
[0048] Then, the data i sorted by timestamp is segmented into time periods, with time period T1 as the dividing point, and the time period T1 here is expressed as a time length value. For example, if time period T1 is 3 days, all data i within three days are obtained and segmented, and the data i is segmented according to time period T1 to obtain time period data, and time segment information is generated at the same time. Other foreign trade information of the same type is processed in this way.
[0049] Step 3: Process the generated time segment information, and judge the network fluctuation to obtain network information, and the network information includes stable information and unstable information. At the same time, analyze the network fluctuation corresponding to the stable information and calculate the cycle transmission time, analyze the network fluctuation corresponding to the unstable information, and segment the time period data to obtain the data segmentation package. The specific processing method is:
[0050] Analyze the transmission network, obtain the current network fluctuation situation, and classify the current network fluctuation situation into stable and unstable, and generate stable information and unstable information. Specifically, the classification here is to calculate the difference of network fluctuation within time t1, and compare the difference with the threshold. If it is greater than the threshold, it is unstable, and if it is less than the threshold, it is stable. The specific value of the threshold is set by the operator according to the actual situation. If the current network fluctuation situation is classified as stable, obtain the data capacity of the time period data, and calculate the average value of the current network fluctuation within time t1, then calculate the transmission time of the time period data, and generate the periodic transmission time. The specific calculation method is to divide the average value by the data capacity of the time period to obtain the transmission time;
[0051] If the current network fluctuation is classified as unstable, obtain the minimum and maximum fluctuation values of the current network fluctuation within time t1, and calculate the average of the sum of the minimum and maximum fluctuation values. At the same time, use the average to segment the time period data to obtain data segmentation packages; and the data capacity of the data segmentation packages obtained here is equal.
[0052] Step 4: Analyze the obtained periodic transmission time, and divide the time period data into data segmentation packets according to the current network fluctuation situation, and at the same time, perform transmission processing on the data segmentation packets to obtain data transmission information. The specific method of generating the data transmission information is as follows:
[0053] Get the mean value of the current network fluctuation within time t1, and divide the time period data based on the mean value to obtain data segmentation packages, and label the data segmentation packages as a, where a=1, 2, ..., b, where b represents the number of data segmentation packages, then divide the transmission time equally with time t2 as a period to obtain multiple transmission time periods, and label the transmission time periods as n, where n=1, 2, ..., m, where m represents the number of transmission time periods;
[0054] The maximum value of the current network fluctuation within the transmission time period n is obtained in order of the labels, and the numerical parity of the maximum value is determined. When the maximum value is an odd number, the maximum transmission flux within the time period t2 is obtained, and the odd-numbered data segmentation packets with the same capacity as the maximum transmission flux are obtained for transmission, and data transmission information is generated at the same time. When the maximum value is an even number, the even-numbered data segmentation packets with the same capacity as the maximum transmission flux are obtained for transmission, and data transmission information is generated at the same time. For example, the maximum transmission flux can transmit two groups of data segmentation packets within the time period t2, then according to the corresponding maximum value parity, two groups of data segmentation packets with the same label are obtained for transmission.
[0055] Step 5: Perform transmission analysis on the data segmentation packets obtained by unstable information analysis and processing, calculate the characteristic values of the data segmentation packets, and randomly generate encrypted packets according to the characteristic values. At the same time, perform transmission analysis according to the maximum transmission flux to generate data transmission information and secondary analysis signals, and perform transmission analysis according to the deleted capacity difference to generate data transmission information. The specific method of generating data transmission information is as follows:
[0056] Get the data segmentation package corresponding to the unstable information and label it as k, where k=1, 2, ..., p, where p is the number of data segmentation packages. At the same time, get the data capacity Lk corresponding to the data segmentation package k, and get the data quantity corresponding to the time period data as C. Then substitute the obtained parameters into the formula Calculate the eigenvalue Q corresponding to the time period data, and randomly generate an encrypted packet with the same data capacity as the eigenvalue;
[0057] Then, the generated encrypted packet is combined with the data segmentation packet k to obtain a combined packet, and the maximum transmission flux corresponding to the current network fluctuation is obtained. At the same time, the data capacity of the combined packet is compared with the maximum transmission flux. When the data capacity of the combined packet is greater than the maximum transmission flux, a secondary analysis signal is generated. Conversely, when the data capacity of the combined packet is less than the maximum transmission flux, the combined packet is directly transmitted and data transmission information is generated.
[0058] The generated secondary analysis signal is processed, and the capacity of the combined package is deleted based on the maximum transmission flux as the standard, and the specific deletion method is: calculate the difference between the maximum transmission flux and the data capacity of the combined package, and judge the parity of the difference. If the difference is an odd number, the encrypted package is deleted from the front to the back in turn by the corresponding difference capacity, and if the difference is an even number, the encrypted package is deleted from the back to the front in turn by the corresponding difference capacity, and the deleted combined package is transmitted, and data transmission information is generated at the same time. Specifically, for example, when the remaining difference after subtracting the maximum transmission flux from the data capacity of the combined package is an odd number, the encrypted package is deleted from the front to the back in turn by the corresponding difference capacity, and if it is an even number, it is deleted from the back to the front in turn.
[0059] For example 2, please refer to Figure 2 A foreign trade information processing system, the system specifically includes: a foreign trade information collection unit, a foreign trade information verification unit, a verification correctness analysis unit, a transmission analysis unit and an information output unit, and the above-mentioned units are connected by unidirectional wires.
[0060] The foreign trade information collection unit is used to collect current foreign trade information and transmit the collected current foreign trade information to the foreign trade information verification unit.
[0061] The foreign trade information verification unit is used to verify the current foreign trade information obtained according to the verification information and generate a correct verification result and an incorrect verification result, and to organize the current foreign trade information corresponding to the incorrect verification result to obtain abnormal data, and at the same time transmit the correct verification result to the correct verification analysis unit, and the analysis method here is the same as the analysis method of step one in embodiment one.
[0062] A verification and analysis unit is used to analyze the obtained verification results, classify the current foreign trade information into the same type and sort it by time, and segment the same type of foreign trade information into time periods to obtain time segment information, and transmit the time segment information to the transmission analysis unit. The processing method here is the same as the analysis method of step two in embodiment one.
[0063] A transmission analysis unit, which is used to analyze the acquired time segment information, obtain stable information and unstable information by judging the network fluctuation, analyze the network fluctuation corresponding to the stable information and calculate the periodic transmission time, analyze the network fluctuation corresponding to the unstable information, segment the time period data to obtain data segmentation packets, and the processing method here is the same as the analysis method of step three in embodiment one, analyze the obtained periodic transmission time, and segment the time period data according to the current network fluctuation situation to obtain data segmentation packets, and at the same time perform transmission processing on the data segmentation packets to obtain data transmission information, and the processing method here is the same as the analysis method of step four in embodiment one;
[0064] A transmission analysis is performed on the data segmentation packets obtained by the unstable information analysis and processing, by calculating the eigenvalues of the data segmentation packets and randomly generating encrypted packets based on the eigenvalues. At the same time, a transmission analysis is performed based on the maximum transmission flux to generate data transmission information and a secondary analysis signal, and a transmission analysis is performed based on the deleted capacity difference to generate data transmission information, and the data transmission information is transmitted to the information output unit. The analysis method here is the same as the analysis method in step five of Example 1.
[0065] An information output unit is used to store the acquired data transmission information.
[0066] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.
[0067] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.
Claims
1. A foreign trade information processing method, characterized in that: The method specifically comprises the following steps: Step 1: Verify the acquired foreign trade information to obtain correct verification results and incorrect verification results, analyze the incorrect verification results, correct the corresponding incorrect foreign trade information and sort out the abnormal data; Step 2: Analyze the correct verification results, classify the current foreign trade information into the same type, sort the same type of foreign trade information by time, and segment the same type of foreign trade information by time to obtain time segment information; Step three: Process the generated time segment information, and judge the network fluctuation to obtain network information, and the network information includes stable information and unstable information. At the same time, analyze the network fluctuation corresponding to the stable information and calculate the periodic transmission time, and analyze the network fluctuation corresponding to the unstable information to segment the time period data to obtain a data segmentation package; the specific segmentation method is: analyze the transmission network, obtain the current network fluctuation situation, and classify the current network fluctuation situation into stable and unstable, and generate stable information and unstable information at the same time. If the current network fluctuation situation is classified as stable, obtain the data capacity of the time period data, and calculate the mean of the current network fluctuation within time t1, then calculate the transmission time of the time period data, and generate the periodic transmission time; if the current network fluctuation situation is classified as unstable, obtain the minimum fluctuation value and the maximum fluctuation value of the current network fluctuation within time t1, and calculate the mean of the sum of the minimum fluctuation value and the maximum fluctuation value, and segment the time period data with the mean to obtain a data segmentation package; Step 4: Analyze the obtained periodic transmission time, and divide the time period data into data segmentation packets according to the current network fluctuation situation, and transmit and process the data segmentation packets to obtain data transmission information; Step 5: Perform transmission analysis on the data segmentation packets obtained through unstable information analysis and processing, calculate the eigenvalues of the data segmentation packets, and randomly generate encrypted packets based on the eigenvalues. Perform transmission analysis based on the maximum transmission flux to generate data transmission information and secondary analysis signals, and perform transmission analysis based on the deleted capacity difference to generate data transmission information.
2. A foreign trade information processing method according to claim 1, characterized in that: The specific method of obtaining abnormal data in step 1 is: Obtain the current foreign trade information and the corresponding verification information, and match the current foreign trade information with the verification information to determine whether there is an error. If not, generate a correct verification result; otherwise, generate an incorrect verification result; For the generated verification error results, the current foreign trade information is screened for errors based on the verification information, and the screened error information is sorted out to obtain abnormal data.
3. A foreign trade information processing method according to claim 1, characterized in that: The specific method of obtaining the time segment information in step 2 is: Obtain all foreign trade information, and classify it according to the data type of the foreign trade information. Obtain any data type for analysis, and use the selected data type as the analysis object. Label all data in the analysis object as i, and i=1, 2, ..., j, where j represents the number of data in the analysis object. Obtain the timestamp Ti corresponding to the data i, and sort the data i according to the timestamp Ti. Then, the data i sorted by timestamp is segmented into time periods, with time period T1 as the dividing point, and the data i is segmented according to time period T1 to obtain time period data, and time segment information is generated at the same time.
4. A foreign trade information processing method according to claim 1, characterized in that: The specific method of performing transmission processing on the data segmentation packet in step 4 to obtain data transmission information is as follows: Get the mean value of the current network fluctuation within time t1, and divide the time period data based on the mean value to obtain data segmentation packages, and label the data segmentation packages as a, where a=1, 2, ..., b, where b represents the number of data segmentation packages, then divide the transmission time equally with time t2 as a period to obtain multiple transmission time periods, and label the transmission time periods as n, where n=1, 2, ..., m, where m represents the number of transmission time periods; The maximum value of the current network fluctuation within the transmission time period n is obtained in order of the labels, and the numerical parity of the maximum value is determined. When the maximum value is an odd number, the maximum transmission flux within the time period t2 is obtained, and the odd-numbered data segmentation packets with the same capacity as the maximum transmission flux are obtained for transmission, and data transmission information is generated at the same time. When the maximum value is an even number, the even-numbered data segmentation packets with the same capacity as the maximum transmission flux are obtained for transmission, and data transmission information is generated at the same time.
5. A foreign trade information processing method according to claim 1, characterized in that: The specific method of performing transmission analysis according to the maximum transmission flux in step 5 to generate data transmission information and secondary analysis signals is: Get the data segmentation package corresponding to the unstable information and label it as k, where k=1, 2, ..., p, where p is the number of data segmentation packages. At the same time, get the data capacity Lk corresponding to the data segmentation package k, and get the data quantity corresponding to the time period data as C. Then substitute the obtained parameters into the formula Calculate the eigenvalue Q corresponding to the time period data, and randomly generate an encrypted packet with the same data capacity as the eigenvalue; Then, the generated encrypted package is combined with the data segmentation package k to obtain a combined package, and the maximum transmission flux corresponding to the current network fluctuation is obtained. At the same time, the data capacity of the combined package is compared with the maximum transmission flux. When the data capacity of the combined package is greater than the maximum transmission flux, a secondary analysis signal is generated. Conversely, when the data capacity of the combined package is less than the maximum transmission flux, the combined package is directly transmitted and data transmission information is generated.
6. A foreign trade information processing method according to claim 5, characterized in that: The specific method of analyzing the secondary analysis signal in step 5 is: The capacity of the combination package is reduced based on the maximum transmission flux, and the specific reduction method is: calculate the difference between the maximum transmission flux and the data capacity of the combination package, and judge the parity of the difference. If the difference is an odd number, the encrypted packets are reduced in the corresponding difference capacity from front to back; if the difference is an even number, the encrypted packets are reduced in the corresponding difference capacity from back to front, and the reduced combination package is transmitted, and data transmission information is generated at the same time.
7. A foreign trade information processing system, used to execute a foreign trade information processing method according to any one of claims 1 to 6, characterized in that: It includes a foreign trade information collection unit, a foreign trade information verification unit, a verification and correctness analysis unit, a transmission analysis unit and an information output unit; A foreign trade information collection unit, which is used to collect current foreign trade information and transmit the collected current foreign trade information to the foreign trade information verification unit; A foreign trade information verification unit, which is used to verify the current foreign trade information obtained according to the verification information and generate a correct verification result and an incorrect verification result, and to sort out the current foreign trade information corresponding to the incorrect verification result to obtain abnormal data, and at the same time transmit the correct verification result to the correct verification analysis unit; A verification and analysis unit is used to analyze the obtained verification and analysis results, classify the current foreign trade information into the same type and sort them by time, and divide the same type of foreign trade information into time periods to obtain time segment information, and transmit the time segment information to the transmission and analysis unit; A transmission analysis unit, which is used to analyze the acquired time segment information, obtain stable information and unstable information by judging the network fluctuation, analyze the network fluctuation corresponding to the stable information and calculate the periodic transmission time, analyze the network fluctuation corresponding to the unstable information, segment the time segment data to obtain data segmentation packets, and the processing method here is the same as the analysis method of step three in embodiment one, analyze the obtained periodic transmission time, and segment the time segment data according to the current network fluctuation situation to obtain data segmentation packets, and at the same time perform transmission processing on the data segmentation packets to obtain data transmission information; Performing transmission analysis on the data segmentation packets obtained by unstable information analysis and processing, calculating the characteristic values of the data segmentation packets, and randomly generating encrypted packets according to the characteristic values, performing transmission analysis according to the maximum transmission flux to generate data transmission information and secondary analysis signals, performing transmission analysis according to the deleted capacity difference to generate data transmission information, and transmitting the data transmission information to the information output unit; An information output unit is used to store the acquired data transmission information.
