Informatization-based enterprise foreign trade business intelligent tracking management method, system and equipment

Abstract

The invention discloses an enterprise foreign trade business intelligent tracking management method, system and device based on informatization, belongs to the technical field of data processing, and optimizes the foreign trade business process of an enterprise through comprehensive analysis of order data, transportation modes, loading parameters and transportation signal data. Firstly, the system collects and analyzes foreign trade order data of each region to adjust overseas storage layout and ensure that the inventory is matched with the order demand. Secondly, the system evaluates the cargo loading matching degree according to the transportation mode and the stacking parameters, an optimal loading scheme is generated, the transportation efficiency is improved, and the cost is reduced. Besides, the system monitors signal data in the transportation process, evaluates radio frequency signal quality, optimizes wireless equipment parameters and performs early warning on the transportation process, so that the stability and reliability of the transportation process are ensured, and the problems in order management, storage layout, transportation optimization, signal monitoring and the like are effectively solved; and the overall efficiency and the supply chain response capability of the foreign trade business of the enterprise are improved.

Description

[0001] Data processing technology

[0002] This invention relates to the field of data processing technology, and in particular to an information-based intelligent tracking and management method, system and equipment for enterprise foreign trade business. Background Technology

[0003] Against the backdrop of rapid globalization and digitalization, foreign trade enterprises face an increasingly complex market environment and fierce competition. The enterprise foreign trade business intelligent tracking and management system integrates advanced information technology to realize real-time data collection and analysis of various business links such as orders, logistics, warehousing, and equipment, helping enterprises optimize resource allocation and improve operational efficiency.

[0004] For example, in the business management system disclosed in Publication No. CN114846489A (Business Management System, Business Management Method, and Business Management Procedure), the user's PC determines whether the position of the user's iris, detected through image analysis, is within the corresponding screen area. When the user's iris is within the corresponding screen area, the viewpoint coordinates on the display screen are calculated. The coordinate information of the application screen displayed on the screen, along with the viewpoint coordinates, are used to identify the application providing the application screen for the user's viewing. Then, the management server determines whether the identified application is a pre-defined application used in the business and calculates the usage time of the application identified as a pre-defined application.

[0005] For example, the business management system disclosed in Publication No. CN116615738A, which discloses a business management system and a business management method, is a system for managing business implemented by multiple business managers on a common business object. It includes: a business information database that stores business information related to the implementation of the business; a start notification department that notifies each business manager of the start of the business if a predetermined triggering event is detected in the business object; a business process construction department that constructs business processes based on the business information database, instructing each business manager on the business to be implemented in response to the triggering event; an information provision department that provides business information tailored to each business manager based on the business processes; and a progress notification department that notifies the business progress.

[0006] However, in the process of implementing the inventive technical solution in the embodiments of this application, it was found that the above-mentioned technology has at least the following technical problems:

[0007] The lack of in-depth analysis of foreign trade order data in various regions makes it difficult to identify trends in order volume changes. This leads to problems such as unreasonable allocation of warehousing resources and low loading efficiency in foreign trade business management, which in turn affects supply chain efficiency. Summary of the Invention

[0008] To address the shortcomings of existing technologies, this invention provides an information-based intelligent tracking and management method, system, and equipment for enterprise foreign trade business, which solves the problems described in the background technology.

[0009] To achieve the above objectives, the present invention provides the following technical solution: an information-based intelligent tracking and management method for enterprise foreign trade business, comprising acquiring order data of foreign trade order business links in various regions of the enterprise, analyzing the order data of foreign trade order business links in various regions of the enterprise within a preset time period, obtaining the order change index of foreign trade order business in various regions of the enterprise, and adjusting the overseas warehouses in various regions of the enterprise.

[0010] Based on the transportation methods of foreign trade orders in various regions of the enterprise, and by obtaining and analyzing the stacking parameters of foreign trade orders in various regions of the enterprise, the loading matching degree of goods in foreign trade orders in various regions of the enterprise is obtained, and the loading scheme of foreign trade orders in various regions of the enterprise is obtained based on the loading matching degree of goods in foreign trade orders in various regions of the enterprise.

[0011] The system acquires transportation signal data from various regions of the enterprise, analyzes the transportation signal data from various regions to obtain the radio frequency signal quality values ​​of the transportation of foreign trade orders in each region, optimizes the radio frequency parameters of wireless devices in each region, and provides early warnings for the transportation process of foreign trade orders in each region.

[0012] Furthermore, the specific process for obtaining the foreign trade order change index for each region of the enterprise is as follows: extract order data from the foreign trade order business links of each region of the enterprise within a preset time period, including the difference between the estimated transportation time and the historical average transportation time, the difference between the estimated port waiting time and the historical average port waiting time, and the deviation between the order volume and the historical average order volume. After introducing weighting factors, these data are coupled to obtain the foreign trade order change index for each region of the enterprise. The foreign trade order change index for each region of the enterprise is used to assess the degree of fluctuation in the operational status of the business links in each region.

[0013] Furthermore, the specific process for adjusting the overseas warehouses of the enterprise in various regions is as follows: Several monitoring cycles are arranged within a preset time period. The monitoring cycles in which the change index of foreign trade orders in various regions of the enterprise exceeds the set threshold for the change index of foreign trade orders in various regions of the enterprise are recorded as adjustment cycles. The number of adjustment cycles is counted. If the number of adjustment cycles in a certain region is higher than or equal to the set threshold for the number of adjustment cycles, then an additional overseas warehouse is added for that region of the enterprise.

[0014] Furthermore, the specific process of obtaining and analyzing the stacking parameters of foreign trade orders in various regions of the enterprise is as follows: obtaining the loading parameters of each candidate loading scheme in the simulated loading of foreign trade orders in various regions of the enterprise, and extracting the order change index of foreign trade orders in various regions of the enterprise. The loading parameters include the simulated total weight of the loaded goods and the maximum load capacity of the container, the maximum allowable stacking height of the goods and the simulated stacking height, and the deviation between the total volume of the simulated loaded goods and the effective internal volume of the container. After introducing weighting factors, the loading matching index of each candidate loading scheme of foreign trade orders in various regions of the enterprise is obtained. The loading matching index of each candidate loading scheme of foreign trade orders in various regions of the enterprise is used to evaluate the compliance of the current simulated loading.

[0015] Furthermore, the specific process for obtaining the loading matching degree of goods in the foreign trade order business of each region of the enterprise is as follows: based on the loading matching index of each candidate loading scheme of the foreign trade order business of each region of the enterprise, the loading matching index of each candidate loading scheme of the foreign trade order business of each region of the enterprise is sorted from large to small, and the loading matching index of the candidate loading scheme of the foreign trade order business of the enterprise with the first ranking is selected as the loading matching degree of goods in the foreign trade order business of each region of the enterprise, and the goods are loaded according to the candidate loading scheme of the foreign trade order business of each region of the enterprise.

[0016] Furthermore, the specific process for obtaining the transportation radio frequency signal quality values ​​of foreign trade order business in each region of the enterprise is as follows: extract transportation signal data of each region of the enterprise within a preset time period, including average signal strength and reference signal strength, average noise and reference average noise, and packet error rate and defined packet error rate, and couple them after introducing weighting factors to obtain the transportation radio frequency signal quality values ​​of foreign trade order business in each region of the enterprise. The transportation radio frequency signal quality values ​​of foreign trade order business in each region of the enterprise are used to evaluate the degree of radio frequency signal attenuation in each region of the enterprise.

[0017] Furthermore, the optimization of the radio frequency parameters of wireless devices in various regions of the enterprise is specifically carried out as follows: the radio frequency signal quality values ​​of the transportation radio frequency business of foreign trade orders in various regions of the enterprise are matched with the radio frequency optimization parameters of the wireless devices corresponding to each interval of the transportation radio frequency signal quality values ​​of foreign trade orders in various regions of the enterprise to obtain the radio frequency optimization parameters of the wireless devices in various regions of the enterprise, and the radio frequency parameters of the wireless devices in various regions of the enterprise are adjusted to the radio frequency optimization parameters of the wireless devices in various regions of the enterprise.

[0018] Furthermore, the process of providing early warnings for the transportation of foreign trade orders in various regions of the enterprise is as follows: obtaining the distance between the current transportation location and the preset route, the container temperature, and the current transportation time of the foreign trade orders in various regions of the enterprise; and providing early warnings for the transportation process of the foreign trade orders in various regions of the enterprise based on the distance between the current transportation location and the preset route, the container temperature, and the current transportation time.

[0019] A second aspect of the present invention also provides a product user experience simulation system based on behavior analysis, including an order data analysis module for acquiring order data of foreign trade order business links in various regions of an enterprise, analyzing the order data of foreign trade order business links in various regions of an enterprise within a preset time period, obtaining the order change index of foreign trade order business in various regions of an enterprise, and adjusting the overseas warehouses in various regions of an enterprise.

[0020] The loading scheme analysis module is used to analyze the transportation methods of foreign trade orders in various regions of the enterprise, obtain the stacking parameters of foreign trade orders in various regions of the enterprise, and obtain the loading matching degree of goods in foreign trade orders in various regions of the enterprise. Based on the loading matching degree of goods in foreign trade orders in various regions of the enterprise, the loading scheme of foreign trade orders in various regions of the enterprise is obtained.

[0021] The radio frequency parameter optimization module is used to acquire transportation signal data from various regions of the enterprise, analyze the transportation signal data from various regions of the enterprise to obtain the transportation radio frequency signal quality value of foreign trade orders in various regions of the enterprise, optimize the radio frequency parameters of wireless devices in various regions of the enterprise, and provide early warnings for the transportation process of foreign trade orders in various regions of the enterprise.

[0022] A third aspect of the present invention also provides an electronic device, comprising: a processor, and a memory for storing processor-executable instructions; wherein when the processor is configured to execute the instructions, the electronic device enables the above-described information-based intelligent tracking and management method for enterprise foreign trade business.

[0023] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0024] The present invention has the following beneficial effects:

[0025] (1) The intelligent tracking and management method, system, and equipment for enterprise foreign trade business based on information technology provided by this invention optimizes the enterprise's foreign trade business process through comprehensive analysis of order data, transportation methods, loading parameters, and transportation signal data. First, the system collects and analyzes foreign trade order data from various regions and calculates the order change index to adjust the overseas warehousing layout and ensure that inventory matches order demand. Second, the system evaluates the matching degree of cargo loading based on transportation methods and stacking parameters, generates the optimal loading plan, improves transportation efficiency, and reduces costs. In addition, the system monitors signal data during transportation, evaluates radio frequency signal quality, optimizes wireless equipment parameters, and provides early warnings for the transportation process to ensure the stability and reliability of the transportation process. This effectively solves problems related to order management, warehousing layout, transportation optimization, and signal monitoring, and improves the overall efficiency of the enterprise's foreign trade business and the responsiveness of the supply chain.

[0026] (2) This invention adjusts overseas warehouses by obtaining the foreign trade order change index for each region of the enterprise, thereby optimizing inventory management and resource allocation. By monitoring order changes and transportation processes in real time, enterprises can promptly identify abnormal fluctuations in business processes and take corresponding adjustment measures, which helps ensure the stability and efficiency of business processes. It also helps to promptly identify business fluctuations, optimize inventory management, and improve supply chain responsiveness and operational efficiency.

[0027] (3) By obtaining the loading matching index of each candidate loading scheme for foreign trade orders in various regions of an enterprise, this invention can help enterprises optimize loading schemes, improve loading efficiency, and reduce transportation costs. It effectively solves problems such as large order fluctuations, unreasonable allocation of warehousing resources, and low loading efficiency faced by enterprises in foreign trade business management. Through information technology, enterprises can monitor business processes in real time, adjust strategies in a timely manner, optimize resource allocation, improve logistics efficiency and supply chain responsiveness, and enhance market competitiveness.

[0028] (4) By obtaining the radio frequency signal quality values ​​of transportation in each region, this invention helps to adjust the radio frequency parameters of wireless devices to optimize signal quality, ensure the stability and accuracy of data transmission, and help solve problems such as signal attenuation and poor data transmission in foreign trade business management. Through real-time monitoring and dynamic adjustment, enterprises can promptly identify and respond to potential communication problems, ensure the smooth processing of orders, and further improve operational efficiency. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the method of the present invention;

[0030] Figure 2 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Please see Figure 1 This invention provides a technical solution: an information-based intelligent tracking and management method for enterprise foreign trade business, including acquiring order data of foreign trade order business links in various regions of the enterprise, analyzing the order data of foreign trade order business links in various regions of the enterprise within a preset time period, obtaining the order change index of foreign trade order business in various regions of the enterprise, and adjusting the overseas warehouses in various regions of the enterprise.

[0033] Based on the transportation methods of foreign trade orders in various regions of the enterprise, and by obtaining and analyzing the stacking parameters of foreign trade orders in various regions of the enterprise, the loading matching degree of goods in foreign trade orders in various regions of the enterprise is obtained, and the loading scheme of foreign trade orders in various regions of the enterprise is obtained based on the loading matching degree of goods in foreign trade orders in various regions of the enterprise.

[0034] The system acquires transportation signal data from various regions of the enterprise, analyzes the transportation signal data from various regions to obtain the radio frequency signal quality values ​​of the transportation of foreign trade orders in each region, optimizes the radio frequency parameters of wireless devices in each region, and provides early warnings for the transportation process of foreign trade orders in each region.

[0035] Specifically, the order change index for foreign trade business in each region of the enterprise is obtained. The specific process is as follows: order data of foreign trade business links in each region of the enterprise in a preset time period are extracted, including the expected transportation time and the historical average transportation time, the expected port waiting time and the historical average port waiting time, and the deviation between the order volume and the historical average order volume. After introducing weighting factors, the data are coupled to obtain the order change index for foreign trade business in each region of the enterprise. The order change index for foreign trade business in each region of the enterprise is used to assess the degree of fluctuation in the operational status of business links in each region.

[0036] It should be noted that the specific analysis conditions for the index of changes in foreign trade orders in different regions of enterprises are as follows:

[0037] ;

[0038] In the formula, This represents the index indicating the magnitude of change in foreign trade orders for the enterprise in region j. This represents the estimated delivery time for a company's foreign trade orders in region j. This indicates the historical average transit time. This represents the estimated port waiting time for a company's foreign trade orders in region j. This indicates the historical average port waiting time. This represents the order volume of the company's foreign trade orders in the j-th region. This represents the set historical average order volume. This indicates the weighting factor corresponding to the set estimated transit time. This represents the weighting factor corresponding to the set estimated port waiting time. This represents the weighting factor corresponding to the set order volume, and j represents the region number. , where n represents the total number of regions.

[0039] It should be noted that the three parameters—estimated transit time, estimated port waiting time, and order volume—work together through dynamic coupling and compensation mechanisms to influence overall logistics efficiency and supply chain responsiveness. For example, if the estimated transit time is too long, even if the port waiting time is kept within a reasonable range, a large order volume can exacerbate port congestion due to transit delays, forcing the system to compensate by shortening waiting times or accelerating unloading processes. However, this compensation often leads to a decrease in loading and unloading efficiency. Conversely, if order volume surges but both the estimated transit time and port waiting time are short, it may cause supply chain strain and insufficient logistics resource allocation, thereby affecting the continuity of subsequent transportation.

[0040] In a specific embodiment, the weighting factors corresponding to the estimated transportation time, the estimated port waiting time, and the order volume are typically set to a range of 0 to 1. Specifically, firstly, by constructing a mapping relationship between the estimated transportation time and the weighting factors, the real-time detected transportation time is input into a mapping table to quickly obtain the corresponding transportation time weighting factor. Similarly, for the estimated port waiting time, a mapping table between the waiting time and the weighting factor is established through a pre-defined mapping relationship, mapping the detected waiting time value to the corresponding weighting factor. At the same time, for the order volume, a mapping table between the order volume and the weighting factor is constructed so that the corresponding weighting factor can be found immediately after the real-time monitored order volume is input.

[0041] Specifically, adjustments are made to the overseas warehouses of the enterprise in various regions. The specific process is as follows: Several monitoring cycles are set up in a preset time period. The monitoring cycle in which the change index of foreign trade orders in each region of the enterprise exceeds the set threshold for the change index of foreign trade orders in each region of the enterprise is recorded as the adjustment cycle. The number of adjustment cycles is counted. If the number of adjustment cycles in a certain region is higher than or equal to the set threshold for the number of adjustment cycles, then an additional overseas warehouse is added for that region of the enterprise.

[0042] It should be noted that the expansion of an enterprise's overseas warehouses in a given region can be based on expansion targets. For example, it can be based on the index of changes in foreign trade orders in each region of the enterprise during each monitoring period, and the transportation radio frequency signal quality values ​​of each region can be matched with the pre-set expansion targets for each interval. The index of changes in foreign trade orders in that region can be compared with a pre-built mapping table to determine the expansion target for that region, such as adding 1 to 2 overseas warehouses or expanding the area of ​​existing warehouses.

[0043] Specifically, the stacking parameters of foreign trade orders in each region of the enterprise are obtained and analyzed. The specific process is as follows: the loading parameters of each candidate loading scheme in the simulated loading of foreign trade orders in each region of the enterprise are obtained, and the order change index of foreign trade orders in each region of the enterprise is extracted. The loading parameters include the simulated total weight of the loaded goods and the maximum load capacity of the container, the maximum allowable stacking height of the goods and the simulated stacking height, and the deviation between the total volume of the simulated loaded goods and the effective internal volume of the container. After introducing weighting factors, the loading matching index of each candidate loading scheme of foreign trade orders in each region of the enterprise is obtained. The loading matching index of each candidate loading scheme of foreign trade orders in each region of the enterprise is used to evaluate the compliance of the current simulated loading.

[0044] It should be noted that the loading matching index for each candidate loading scheme in the enterprise's foreign trade order business in various regions is analyzed under the following specific conditions:

[0045] ;

[0046] In the formula, This represents the loading matching index of the i-th candidate loading scheme for the j-th region's foreign trade order business of the enterprise. This represents the simulated total weight of goods loaded for the i-th candidate loading scheme in the j-th region's foreign trade order business of the enterprise. Indicates the maximum load capacity of the container. This represents the simulated stacking height of the i-th candidate loading scheme for the j-th region's foreign trade order business of the enterprise. Indicates the maximum allowable stacking height of goods. This represents the simulated total volume of cargo loaded for the i-th candidate loading scheme in the j-th region's foreign trade order business of the enterprise. This indicates the effective internal volume of the container. This represents the index indicating the change in foreign trade orders for a company in region j. This represents the weighting factor corresponding to the set total simulated weight of the goods. This represents the weighting factor corresponding to the set simulated stack height. This represents the weighting factor corresponding to the total volume of the simulated loaded cargo. This represents the weighting factor corresponding to the set index of changes in trade orders, where j represents the region number. n represents the total number of regions, and i represents the number of each candidate loading scheme. , m represents the total number of candidate loading schemes, Indicates and, Indicates other.

[0047] It should be noted that the simulated total weight of the loaded cargo, the simulated stacking height, and the simulated total volume of the loaded cargo are all dynamically coupled and compensated to affect the container loading efficiency and safety. For example, if the simulated total weight is too high, even if the stacking height and total volume are kept within the preset range, uneven weight distribution among the cargo may force the system to reduce the single-layer stacking height or readjust the loading layout to ensure stability, but this compensation may lead to a decrease in the overall volume utilization rate. Conversely, if the simulated total volume is large and the stacking height is insufficient, the cargo will be unevenly distributed within the container, increasing the risk of slippage and collision, thus affecting the overall loading safety. Therefore, these three parameters need to be considered comprehensively in a dynamic balance to achieve the optimal loading scheme.

[0048] In a specific embodiment, the weighting factors corresponding to the simulated total weight of goods, the simulated stacking height, the simulated total volume of loaded goods, and the trade order change index are typically set to a range of 0 to 1. Specifically, firstly, a mapping relationship between the simulated total weight of goods and the weighting factors is constructed. The real-time detected total weight of goods is input into a mapping table to quickly obtain the corresponding weight weighting factor. Similarly, for the simulated stacking height, a mapping table between stacking height and weighting factors is established through a pre-defined mapping relationship, mapping the detected stacking height value to the corresponding weighting factor. Simultaneously, for the simulated total volume of loaded goods, a mapping table between total volume and weighting factors is constructed, so that the corresponding total volume weighting factor can be found after the real-time monitored total volume is input. Similarly, the weighting factor corresponding to the trade order change index is also obtained by constructing a mapping table between the trade order change index and weighting factors, so that the corresponding weighting factor can be found after the real-time trade order change index is input.

[0049] It should be noted that 3D loading simulation technology constructs 3D geometric models of containers and cargo, treating all ordered goods as geometric bodies with rigid boundaries. It also considers rotation, flipping, and stacking constraints for each item. A genetic algorithm is used to simulate the placement, stacking, and arrangement of goods within the container in a virtual environment. During the simulation, the system continuously adjusts the position and orientation of the goods according to preset optimization objectives (such as maximizing volume utilization, ensuring loading balance, and meeting stacking safety requirements). This generates candidate loading schemes for foreign trade orders from various regions of the enterprise and calculates the loading matching degree of each scheme in real time, evaluating the degree of conformity between the current loading state and container parameters. Through iterative optimization, the system can determine an optimal or near-optimal loading scheme. This scheme not only achieves the best utilization of space and weight distribution within the container but also meets physical constraints such as the maximum number of stacking layers, load limits per layer, and whether rotation is allowed, thus ensuring the safety and stability of the goods during transportation. Ultimately, based on the results of the 3D loading simulation, the enterprise can load the ordered goods into the container according to the optimal scheme, achieving optimal transportation planning. The entire process requires the system to collect order data in real time, dynamically update cargo parameters and container status, and ensure efficient, safe and economical loading results from loading plan generation to actual operation through rigorous calculation of physical parameters and three-dimensional spatial optimization simulation. At the same time, it provides data support and intelligent decision-making basis for enterprises' foreign trade order transportation, thereby improving the overall logistics response speed and supply chain operation efficiency.

[0050] Specifically, the loading matching degree of goods in foreign trade orders in each region of the enterprise is obtained. The specific process is as follows: based on the loading matching index of each candidate loading scheme of foreign trade orders in each region of the enterprise, the loading matching index of each candidate loading scheme of foreign trade orders in each region of the enterprise is sorted from large to small. The loading matching index of the candidate loading scheme of foreign trade orders in each region of the enterprise with the highest ranking is selected as the loading matching degree of goods in foreign trade orders in each region of the enterprise. The goods are then loaded according to the candidate loading scheme of foreign trade orders in each region of the enterprise.

[0051] It should be noted that the loading matching degree of goods in foreign trade orders in different regions of an enterprise is an important basis for selecting the optimal loading plan. By automatically comparing loading plans in different regions and selecting the top-ranked plan as the current best loading matching degree, it helps to ensure that the space utilization of goods is maximized during the loading process, reduce the transportation risks caused by improper loading, and improve the overall supply chain response speed and resource scheduling efficiency.

[0052] Specifically, the transportation radio frequency signal quality values ​​of foreign trade order business in each region of the enterprise are obtained. The specific process is as follows: the transportation signal data of each region of the enterprise is extracted within a preset time period, including the average signal strength and reference signal strength, the average noise and the reference average noise, and the packet error rate and the defined packet error rate. After introducing a weighting factor, the data are coupled to obtain the transportation radio frequency signal quality values ​​of foreign trade order business in each region of the enterprise. The transportation radio frequency signal quality values ​​of foreign trade order business in each region of the enterprise are used to evaluate the degree of radio frequency signal attenuation in each region of the enterprise.

[0053] It should be noted that sensors or data acquisition devices are deployed at multiple key nodes in the area (such as inside vehicles, loading and unloading points, warehouse entrances, etc.) to collect signal strength, noise and packet error rate in real time. The signal strength, noise and packet error rate of each key node in the area are then averaged to obtain the average signal strength, average noise and packet error rate.

[0054] It should be noted that the specific analysis conditions for the radio frequency signal quality values ​​of the company's foreign trade orders in different regions are as follows:

[0055] ;

[0056] In the formula, This represents the radio frequency signal quality value for the transportation of foreign trade orders in the j-th region of the enterprise. This represents the average signal strength of the company's foreign trade orders in the j-th region. Indicates the set reference signal strength. This represents the average noise level of the company's foreign trade orders in the j-th region. This indicates the set reference average noise. This represents the error rate of foreign trade orders in the j-th region for the enterprise. This indicates the set packet error rate. This represents the weighting factor corresponding to the set signal strength. This represents the weighting factor corresponding to the set noise. This represents the weighting factor corresponding to the set packet error rate, and j represents the region number. , where n represents the total number of regions.

[0057] It's important to note that in wireless communication systems, the average signal strength, average noise, and packet error rate (BER) jointly influence the quality and reliability of data transmission through dynamic coupling and compensation mechanisms. For example, if the average signal strength is low, even if the average noise level is maintained at a low level, the signal-to-noise ratio (SNR) may still be insufficient, leading to an increased BER. This forces the system to compensate by increasing signal power or employing stronger error correction coding, which may increase energy consumption or reduce spectral efficiency. Conversely, if the average noise is high, even with moderate signal strength, the SNR will decrease, leading to an increased BER. In this case, the system may need to improve filtering techniques or optimize frequency selection to reduce the noise impact, but these measures may increase system complexity and cost. Furthermore, if the BER remains persistently high, even if the signal strength and noise levels are within acceptable ranges, it may indicate the presence of other interference sources or multipath effects. The system may need to adjust the modulation scheme or employ diversity techniques to improve its anti-interference capability.

[0058] In a specific embodiment, a mapping relationship needs to be established between the weighting factors corresponding to signal strength, noise, and packet error rate. Taking signal strength as an example, the impact of signal strength on system performance is determined by analyzing historical data. Then, a mapping table is constructed, mapping different signal strength values ​​to weighting factors between 0 and 1. After inputting the real-time detected signal strength value into this mapping table, the corresponding signal strength weighting factor can be quickly obtained. Similarly, for the noise index, a mapping relationship between noise level and weighting factors is established. Through a pre-defined mapping relationship, the real-time detected noise value is input into the mapping table to obtain the corresponding noise weighting factor. For the packet error rate index, a mapping relationship between packet error rate and weighting factors is constructed. The real-time monitored packet error rate value is input into the mapping table to find the corresponding packet error rate weighting factor.

[0059] It should be noted that by using the real-time signal strength and noise levels fed back by the data collectors, companies can construct a wireless network coverage map that displays the real-time signal strength at the location of each data collector. By correlating and analyzing the wireless signal parameters with the transportation values ​​of foreign trade orders, companies can determine which areas experience signal attenuation, severe interference, or unstable data transmission during logistics and transportation.

[0060] Specifically, the radio frequency (RF) parameters of wireless devices in various regions of the enterprise are optimized. The specific process is as follows: the RF signal quality values ​​of the transportation RF signals of foreign trade orders in various regions of the enterprise are matched with the RF optimization parameters of the wireless devices corresponding to the RF signal quality values ​​of the transportation RF signals of foreign trade orders in various regions of the enterprise in each set range, so as to obtain the RF optimization parameters of the wireless devices in various regions of the enterprise, and the RF parameters of the wireless devices in various regions of the enterprise are adjusted to the RF optimization parameters of the wireless devices in various regions of the enterprise.

[0061] It should be noted that the radio frequency optimization parameters for wireless devices in different areas of the enterprise include, but are not limited to, transmit power.

[0062] It should be noted that by monitoring wireless signal data during the transportation of foreign trade orders in real time, the transportation radio frequency signal quality values ​​of each region are obtained comprehensively. The transportation radio frequency signal quality values ​​of each region are then matched with the pre-set radio frequency optimization parameters of the wireless devices corresponding to each interval. This quality value is compared with a pre-built mapping table, which associates the wireless signal quality interval with a series of preset radio frequency optimization parameters of wireless devices. Based on the mapping table, the optimal radio frequency parameter settings for each region are determined. Then, instructions are sent to the target collector to gradually increase the transmission power to the current optimal radio frequency parameter settings according to preset increments (usually 5%-10%) to reduce electromagnetic interference, making the signal emitted by the device stronger, thereby improving the signal level at the receiving end.

[0063] It should be noted that the remote management platform instructs the device to switch to a less busy frequency band or channel with less interference. This can improve the signal-to-noise ratio (SNR), thereby reducing the packet error rate and improving the stability of data transmission.

[0064] Specifically, the system provides early warnings for the transportation process of foreign trade orders in various regions of the enterprise. The process involves obtaining the distance between the current transportation location and the preset route, the container temperature, and the current transportation time of foreign trade orders in various regions of the enterprise. Based on these information, early warnings are issued for the transportation process of foreign trade orders in various regions of the enterprise.

[0065] It should be noted that the system provides early warnings for the transportation process of foreign trade orders in each region of the enterprise based on the distance between the current transportation location and the preset route, the container temperature, and the current transportation time. For example, when a vehicle deviates from the preset route by 2 kilometers, the system immediately restricts the opening permission of the electromagnetic lock on the warehouse door and initiates a two-way voice call through the DMS driver monitoring system.

[0066] like Figure 2 As shown, the second aspect of the present invention also provides a product user experience simulation system based on behavior analysis, including an order data analysis module, used to obtain order data of foreign trade order business links in various regions of the enterprise, analyze the order data of foreign trade order business links in various regions of the enterprise within a preset time period, obtain the order change index of foreign trade order business in various regions of the enterprise, and adjust the overseas warehouses in various regions of the enterprise.

[0067] The loading scheme analysis module is used to analyze the transportation methods of foreign trade orders in various regions of the enterprise, obtain the stacking parameters of foreign trade orders in various regions of the enterprise, and obtain the loading matching degree of goods in foreign trade orders in various regions of the enterprise. Based on the loading matching degree of goods in foreign trade orders in various regions of the enterprise, the loading scheme of foreign trade orders in various regions of the enterprise is obtained.

[0068] The radio frequency parameter optimization module is used to acquire transportation signal data from various regions of the enterprise, analyze the transportation signal data from various regions of the enterprise to obtain the transportation radio frequency signal quality value of foreign trade orders in various regions of the enterprise, optimize the radio frequency parameters of wireless devices in various regions of the enterprise, and provide early warnings for the transportation process of foreign trade orders in various regions of the enterprise.

[0069] A third aspect of the present invention also provides an electronic device, comprising: a processor, and a memory for storing processor-executable instructions; wherein when the processor is configured to execute the instructions, the electronic device enables the above-described information-based intelligent tracking and management method for enterprise foreign trade business.

[0070] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0071] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0072] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0073] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0074] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the invention.

[0075] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An information-based intelligent tracking and management method for enterprise foreign trade business, characterized in that: include: Obtain order data from the foreign trade order business process in various regions of the enterprise, analyze the order data from the foreign trade order business process in various regions of the enterprise within a preset time period, obtain the foreign trade order business order change index in various regions of the enterprise, and adjust the overseas warehouses in various regions of the enterprise. Based on the transportation methods of foreign trade orders in various regions of the enterprise, and by obtaining and analyzing the stacking parameters of foreign trade orders in various regions of the enterprise, the loading matching degree of goods in foreign trade orders in various regions of the enterprise is obtained, and the loading scheme of foreign trade orders in various regions of the enterprise is obtained based on the loading matching degree of goods in foreign trade orders in various regions of the enterprise. The system acquires transportation signal data from various regions of the enterprise, analyzes the transportation signal data from various regions to obtain the radio frequency signal quality values ​​of the transportation of foreign trade orders in each region, optimizes the radio frequency parameters of wireless devices in each region, and provides early warnings for the transportation process of foreign trade orders in each region.

2. The intelligent tracking and management method for enterprise foreign trade business based on information technology as described in claim 1, characterized in that: The specific process for obtaining the index of changes in foreign trade orders in various regions of the enterprise is as follows: Order data for foreign trade orders in various regions of the enterprise within a preset time period is extracted, including the difference between the estimated transportation time and the historical average transportation time, the difference between the estimated port waiting time and the historical average port waiting time, and the difference between the order volume and the historical average order volume. After introducing weighting factors, these data are coupled to obtain the order change index for foreign trade orders in various regions of the enterprise. The order change index for foreign trade orders in various regions of the enterprise is used to assess the degree of fluctuation in the operational status of business processes in each region.

3. The intelligent tracking and management method for enterprise foreign trade business based on information technology as described in claim 1, characterized in that: The specific process for adjusting the company's overseas warehouses in various regions is as follows: Several monitoring cycles are set up within a preset time period. The monitoring cycle in which the change index of foreign trade orders in each region of the enterprise exceeds the set threshold for the change index of foreign trade orders in each region of the enterprise is recorded as the adjustment cycle. The number of adjustment cycles is counted. If the number of adjustment cycles in a certain region is higher than or equal to the set threshold for the number of adjustment cycles, then an additional overseas warehouse for that region of the enterprise is added.

4. The intelligent tracking and management method for enterprise foreign trade business based on information technology as described in claim 1, characterized in that: The specific process of obtaining and analyzing the stacking parameters of foreign trade orders from various regions of the enterprise is as follows: The loading parameters of each candidate loading scheme in the simulated loading of foreign trade orders in each region of the enterprise are obtained, and the order change index of foreign trade orders in each region of the enterprise is extracted. The loading parameters include the simulated total weight of the loaded goods and the maximum load capacity of the container, the maximum allowable stacking height of the goods and the simulated stacking height, and the deviation between the total volume of the simulated loaded goods and the effective internal volume of the container. After introducing weighting factors, the loading matching index of each candidate loading scheme of foreign trade orders in each region of the enterprise is obtained. The loading matching index of each candidate loading scheme of foreign trade orders in each region of the enterprise is used to evaluate the compliance of the current simulated loading.

5. The intelligent tracking and management method for enterprise foreign trade business based on information technology as described in claim 1, characterized in that: The specific process for obtaining the loading matching degree of goods in the foreign trade order business of each region of the enterprise is as follows: Based on the loading matching index of each candidate loading scheme for foreign trade orders in each region of the enterprise, the loading matching index of each candidate loading scheme for foreign trade orders in each region of the enterprise is sorted from largest to smallest. The loading matching index of the candidate loading scheme for foreign trade orders in each region of the enterprise with the highest ranking is selected as the loading matching degree of the goods in the foreign trade orders in each region of the enterprise. The goods are then loaded according to the candidate loading scheme for foreign trade orders in each region of the enterprise.

6. The intelligent tracking and management method for enterprise foreign trade business based on information technology as described in claim 1, characterized in that: The specific process for obtaining the transportation radio frequency signal quality values ​​of foreign trade orders in various regions of the enterprise is as follows: Transportation signal data for each region of the enterprise is extracted within a preset time period, including average signal strength and reference signal strength, average noise and reference average noise, and packet error rate and defined packet error rate. After introducing weighting factors, the data are coupled to obtain the transportation radio frequency signal quality value of the foreign trade order business in each region of the enterprise. The transportation radio frequency signal quality value of the foreign trade order business in each region of the enterprise is used to evaluate the degree of radio frequency signal attenuation in each region of the enterprise.

7. The intelligent tracking and management method for enterprise foreign trade business based on information technology as described in claim 1, characterized in that: The optimization of radio frequency parameters for wireless devices in various areas of the enterprise is specifically carried out as follows: The radio frequency (RF) signal quality values ​​of the transportation of foreign trade orders in each region of the enterprise are matched with the RF optimization parameters of the wireless devices corresponding to each range of the transportation RF signal quality values ​​of the foreign trade orders in each region of the enterprise. The RF optimization parameters of the wireless devices in each region of the enterprise are then obtained, and the RF parameters of the wireless devices in each region of the enterprise are adjusted to the RF optimization parameters of the wireless devices in each region of the enterprise.

8. The intelligent tracking and management method for enterprise foreign trade business based on information technology as described in claim 1, characterized in that: The process of providing early warnings for the transportation of foreign trade orders in various regions of the enterprise is as follows: The system obtains the current transportation location, distance from the preset route, container temperature, and current transportation time of foreign trade orders in various regions of the enterprise, and provides early warnings for the transportation process of foreign trade orders in various regions of the enterprise based on these data.

9. A system applying the information-based intelligent tracking and management method for enterprise foreign trade business as described in any one of claims 1-8, characterized in that, include: The order data analysis module is used to obtain order data from the foreign trade order business process in various regions of the enterprise. It analyzes the order data from the foreign trade order business process in various regions of the enterprise within a preset time period, obtains the order change index of the foreign trade order business in various regions of the enterprise, and makes adjustments to the overseas warehouses of the enterprise in various regions. The loading scheme analysis module is used to analyze the transportation methods of foreign trade orders in various regions of the enterprise, obtain the stacking parameters of foreign trade orders in various regions of the enterprise, obtain the loading matching degree of goods in foreign trade orders in various regions of the enterprise, and obtain the loading scheme of foreign trade orders in various regions of the enterprise based on the loading matching degree of goods in foreign trade orders in various regions of the enterprise. The radio frequency parameter optimization module is used to acquire transportation signal data from various regions of the enterprise, analyze the transportation signal data from various regions of the enterprise to obtain the transportation radio frequency signal quality value of foreign trade orders in various regions of the enterprise, optimize the radio frequency parameters of wireless devices in various regions of the enterprise, and provide early warnings for the transportation process of foreign trade orders in various regions of the enterprise.

10. An electronic device, characterized in that, include: A processor, and a memory for storing processor-executable instructions; When the processor is configured to execute the instructions, the electronic device enables the information-based intelligent tracking and management method for enterprise foreign trade business as described in any one of claims 1-8.

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