Logistics transportation shunting method and system based on data analysis

Abstract

The invention relates to the technical field of logistics distribution, and discloses a logistics transportation distribution method and system based on data analysis, and the method comprises the following steps: S1, obtaining the related information of newly received express goods of a logistics transfer station; the related information of the express goods comprises the size of the express goods, an express departure place, an express destination and express delivery time efficiency; s2, newly received cargoes are divided into lower-level transfer and same-level transfer, the classified express cargoes at the same transfer point are arranged according to the distribution time efficiency and the express destinations, and a corresponding conveying time sequence is obtained; and S3, calculating the time when the transfer vehicle arrives at the transfer point according to the transfer departure time. According to the method, the logistics total load of a transfer point after newly-added goods arrive at the transfer point is estimated, whether transferred express goods need to be shunted or not is judged according to the estimated logistics total load of the transfer point, the adjacent transfer points near the original transfer point are obtained, and the express goods are shunted and conveyed to the adjacent shunting transfer points.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of logistics distribution, in particular to a logistics conveying distribution method and system based on data analysis. BACKGROUND

[0002] Logistics conveying refers to the process of flowing goods from the supply to the receiving through certain transportation tools and facilities, which covers multiple links, including warehousing, transportation, packaging, loading and unloading, etc., and the main goal is to realize the spatial transfer of goods efficiently, safely and at low cost. With the gradual development of the Internet, e-commerce and online shopping technologies have matured, and online shopping has become a part of modern life. With the development of online shopping, the express industry has also developed steadily with online shopping. In order to facilitate the efficient delivery of express goods to every recipient, express transfer stations, logistics points and business departments in various provinces and cities are gradually expanding in scale, and express conveying is also becoming more efficient. However, the existing logistics conveying has certain deficiencies. During the online shopping promotion period, the logistics goods increase, and the traffic volume of the city transfer point also gradually increases. Directly sending goods to the transfer point or relying only on the geographical location relationship to send goods to the adjacent transfer point may cause the logistics warehouse to cause an explosion, resulting in goods retention. Therefore, the present application provides a logistics conveying distribution method and system based on data analysis to solve the deficiencies in the prior art. SUMMARY

[0003] The present application aims to provide a logistics conveying distribution method and system based on data analysis, which solves the problem that the prior art directly sends goods to the transfer point or relies only on the geographical location relationship to send goods to the adjacent transfer point, which may cause the logistics warehouse to cause an explosion The purpose of the present application can be achieved by the following technical solutions: A logistics conveying distribution method based on data analysis, characterized in that it comprises the following steps: S1, obtaining information related to new express goods received by the logistics transfer station; the express goods related information includes the size of the express goods, the origin of the express, the destination of the express, the express delivery time limit; S2, classifying the newly received goods into sub-level transfer and same-level transfer, arranging the express goods of the same transfer point after classification according to the delivery time limit and the express destination, and obtaining the corresponding conveying time sequence; S3, calculating the time when the transfer vehicle arrives at the transfer point according to the transfer departure time, analyzing the total logistics load of the transfer point after the transfer vehicle arrives at the transfer point according to the historical data of the transfer point, and determining whether the transfer goods need to be distributed according to the total logistics load of the transfer point; S4, selecting part of the goods from the delivery time sequence for diversion, obtaining the distance of the adjacent transfer point, and delivering the selected diversion goods to the adjacent transfer point; S5, after the transfer is completed, obtaining the logistics load of the transfer point, tracking the subsequent distribution of the express goods, and analyzing whether the current diversion meets the standard.

[0004] Preferably, the time when the logistics delivery vehicle arrives at the transfer point is obtained by comprehensively calculating the departure time of the logistics delivery vehicle, the average driving speed of the logistics delivery vehicle, and the distance between the transfer station and the transfer point. According to the historical data of the transfer point, the estimated logistics load of the current transfer point is obtained. The total logistics load of the transfer point is calculated by comparing the transferred logistics load with the estimated logistics load of the transfer point. The total logistics load of the transfer point is compared with the maximum load that the transfer point can bear. When the total logistics load of the transfer point exceeds the maximum load that the transfer point can bear, it is determined that the goods need to be diverted, otherwise the goods are not diverted.

[0005] Preferably, after it is determined that the goods need to be diverted, part of the goods is selected from the time sequence of the goods corresponding to the transfer point for diversion. The adjacent transfer point of the target transfer point is obtained as the diversion transfer point, the distance between the diversion transfer point and the transfer station is obtained, and the time when the diversion goods arrive at the diversion transfer point is calculated. According to the historical data, the logistics load of the diversion transfer point when the diversion goods load arrives at the diversion transfer point is obtained, and the total load of the diversion transfer point is obtained according to the logistics load of the diversion transfer point and the diversion goods load. If the total load of the diversion transfer point does not exceed the maximum load that the diversion transfer point can bear, the diversion goods are transported to the diversion transfer point.

[0006] Preferably, the selected part of the goods for diversion is selected by the following method: According to the historical logistics data and the logistics network topology information of the diversion transfer point, the regular distribution coverage area of the diversion transfer point and the corresponding standard path are extracted, and a path coverage database of the diversion transfer point is established; According to the information related to the express goods, the final destination of the goods to be diverted from the original transfer point is extracted, and a list of goods to be diverted is formed; The list of goods to be diverted is compared with the path coverage database of the diversion transfer point, and the goods whose destination belongs to the direct coverage area of the diversion transfer point or can be transferred through the standard path of the coverage area are selected as path compatible candidate goods; According to the historical data, the average delivery time when the destination of the path compatible candidate goods is transferred through the diversion transfer point is analyzed, and the transfer node connection efficiency is analyzed. The path compatible candidate goods passing the transit feasibility verification are sorted according to the matching degree of the goods and the path of the distribution transfer point to form a path compatible priority distribution list; From the path compatible priority distribution list, the goods are selected in sequence in combination with the total load of the original transfer point to be distributed until the total load of the selected goods meets the distribution demand, and the selection of the distributed goods is completed.

[0007] Preferably, the step S5 specifically includes the following contents: Set key indicators, including load indicators of the original transfer point and the distribution transfer point, distribution time efficiency indicators of the distributed goods, and customer satisfaction indicators; The load indicators, distribution time efficiency indicators, and customer satisfaction indicators are comprehensively calculated to obtain distribution total indicators, and the distribution total indicators are compared with evaluation indicators set based on historical data to determine whether the distribution meets the standard and whether the overall distribution meets the standard; The meeting condition of the distribution is recorded and associated with historical data storage.

[0008] Preferably, the key indicators are obtained as follows: After the logistics transfer is completed, the actual logistics load of the original transfer point and the distribution transfer point is obtained, the difference between the actual logistics load of the original transfer point and the maximum load of the original transfer point is calculated, the difference between the actual load of the distribution transfer point and the maximum load of the distribution transfer point is calculated, and the load indicators are obtained according to the two differences; The time of completing the distribution of the distributed goods is collected from the logistics query system, and the distribution time efficiency indicators are obtained by comparing the actual distribution time efficiency of the distributed goods with the specified distribution time efficiency of the distributed goods; The customer evaluation of the corresponding logistics goods is collected from the logistics evaluation page, and the actual star rating of the customer is taken as the customer satisfaction indicator.

[0009] Preferably, the distribution total indicators are obtained as follows: The size and weight of the express goods are taken as the load weight coefficient; The weather and traffic flow during the transportation of the distributed goods on the same day are taken as the time efficiency weight coefficient; The load weight coefficient, load indicators, time efficiency weight coefficient, distribution time efficiency indicators, and customer satisfaction indicators are weighted and summed to obtain the distribution total indicators.

[0010] A logistics transportation distribution system based on data analysis according to the logistics transportation distribution method based on data analysis of claim 7, characterized in that it comprises the following modules: A data acquisition module for acquiring express goods related information of new goods in the logistics transfer station; The data analysis module obtains the transfer point of the new goods according to the express goods related information, obtains the total logistics load of the transfer point after receiving the new goods according to the historical data, judges whether the transferred goods need to be distributed according to the total logistics load of the transfer point, selects part of the goods for distribution when distribution is needed, and is transported to the adjacent transfer point. The comprehensive evaluation module obtains the logistics load of the transfer point, tracks the subsequent distribution of the express goods, and analyzes whether the current distribution meets the standard.

[0011] The beneficial effects of the present application are as follows: 1. The present application obtains the destination of the express goods and the transfer transit station along the way by obtaining the express goods related information newly received by the transfer station, estimates the total logistics load of the transfer point after the new goods arrive at the transfer point, judges whether the transferred express goods need to be distributed according to the estimated total logistics load of the transfer point, obtains the adjacent transfer point near the original transfer point, and distributes the express goods to the adjacent distribution transfer point, thereby avoiding the situation that the logistics load of the express transfer point is too high and reducing the occurrence of the warehouse explosion caused by logistics storage; after the express goods are signed and distributed, the relevant key indicators are obtained to analyze whether the current distribution meets the standard.

[0012] Of course, implementing any product of the present application does not necessarily need to achieve all the advantages described above at the same time. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0014] Figure 1 The step flow chart of the logistics transport distribution method and system based on data analysis of the present application.

[0015] Figure 2 The module framework diagram of the logistics transport distribution method and system based on data analysis of the present application. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0017] Please refer to Figure 1 - Figure 2As shown, the present application is a logistics conveying and shunting method and system based on data analysis, which comprises a data acquisition module, a data analysis module and a comprehensive evaluation module. The data acquisition module is mainly used to obtain the relevant information of the newly added express goods in the transfer station, including the size of the goods, the origin of the express, the destination of the express, and the express delivery time. According to the express logistics transfer station, the conveyor line counter, the Internet of Things weight sensor and the visual recognition device deployed at the entrance of the goods are used to count the total number of newly received goods and the single count in real time. At the same time, the barcode scanner, the two-dimensional code recognition lens or the RFID radio frequency reading device integrated in the conveying line are used to automatically scan and identify the single number of each piece of goods, ensuring that the single number information is not missed and accurately read. Through the single number obtained by scanning, the system is automatically associated with the logistics management database, and the detailed information of the express goods is retrieved and synchronized. The size of the express goods is collected by the laser profile measuring instrument or the 3D visual camera in real time, and the volume is calculated. The origin and destination of the express are extracted from the order information bound by the single number, and the express delivery time is synchronized according to the order type from the e-commerce platform or the express company background. After all the information is automatically checked by the system, it is stored in the local data server.

[0018] According to the preset transfer level system of the logistics network, for example, it is divided into provincial, municipal and district transfer points according to administrative regions, or it is divided into core hubs and regional distribution centers according to distribution ranges. The system automatically classifies the newly received goods by comparing the target transfer point corresponding to the destination of the goods with the hierarchical relationship of the current transfer station. If the target transfer point belongs to a lower level distribution node, such as the current provincial transfer station and the target municipal transfer point, it is marked as a lower level transfer. If the target transfer point and the current transfer station belong to the same level, such as both being municipal transfer points, and are responsible for the cross transfer of different areas, it is marked as a same level transfer.

[0019] After classification, for the goods of the same target transfer point, the rules of distribution time priority and destination subdivision assistance are used for arrangement: first, according to the distribution time level, such as urgent, next day, the next day, and ordinary, from high to low, to ensure that high time goods enter the conveying process first. For goods of the same time level, further subdivision of the destination area is performed, such as the same street, the same community or the same distribution route area, combined with the common distribution route order of the transfer point in the historical transportation data, such as from near to far according to the regional orientation, and from large to small according to the daily distribution amount, for secondary sorting, to reduce the time-consuming of subsequent loading goods sorting. Finally, the sorting result is converted into a conveying time sequence containing the time of each piece of goods entering the conveying line, the loading sequence in the transfer vehicle and other information.

[0020] The data analysis module is mainly used to obtain the direction and corresponding transfer point of the express goods to be transported according to the destination of the express goods, to obtain the distance between the transfer station and the transfer point according to the corresponding transfer point of each express goods, to estimate the time when the vehicle arrives at the transfer point according to the average driving speed of the vehicle and the departure time of the vehicle, and to query the estimated logistics load of the transfer point in the adjacent time period when the transfer vehicle arrives at the transfer point according to the historical data of the transfer point. According to the logistics load to be transferred to the transfer point and the estimated logistics load of the transfer point, the total logistics load of the transfer point after receiving the transferred goods can be obtained. The estimated total logistics load of the transfer point is compared with the maximum load that the transfer point can bear. If the total logistics load of the transfer point exceeds or equals the maximum load that the transfer point can bear, the express goods to be transferred need to be distributed. If the total logistics load of the transfer point does not exceed and is not equal to the maximum load that the transfer point can bear, the express goods to be transferred do not need to be distributed.

[0021] After determining that the express goods to be transferred need to be distributed, the range of goods to be distributed is locked from the transfer time sequence corresponding to the transfer point, and then the distributed goods are selected according to the path compatibility priority principle: The adjacent transfer points of the target transfer point are screened, and the node with the shortest geographical distance and the highest historical cooperation frequency is preferentially selected as the adjacent transfer point. According to the distribution coverage area of the adjacent transfer point in the last 6 months, the transfer line record, and the path relationship between the distributed transfer point and the surrounding nodes, the regular distribution coverage area and the corresponding standard path are extracted, a distributed transfer point path coverage database is established, the final destination of the goods to be distributed is extracted according to the obtained express information, a list is formed and compared with the path coverage database, the goods whose destination belongs to the direct coverage area of the distributed transfer point or can be transferred through the standard path coverage area are screened out, and are marked as path compatible candidate goods. The average distribution time of the same type of goods transferred by the distributed transfer point in the historical data and the vehicle punctuality rate from the transfer node to the next node are called to exclude the goods whose distribution time will exceed the original distribution time limit after transfer. The candidate goods that pass the verification are sorted according to the principle that the goods in the direct coverage area are preferred to the goods in the transfer coverage area, and the goods with high historical transfer success rate in the same area are preferentially sorted, a path compatible priority distribution list is formed, the total load of the goods to be distributed from the original transfer point is combined, the goods are selected from the list in turn until the total load of the selected goods meets the distribution demand, and the precise screening of the distributed goods is completed. Then the actual distance between the distributed transfer point and the current transfer station is obtained, the time when the distributed goods arrive at the distributed transfer point is calculated combined with the planned departure time of the distributed goods, the historical average transportation speed of the same route, the logistics load of the distributed goods arriving at the distributed transfer station is predicted according to the historical data of the distributed transfer point, the total load of the goods of the distributed transfer point is obtained combined with the total load of the distributed goods, and if the total load does not exceed the maximum load that the distributed transfer point can bear, a distribution instruction is generated, and the selected goods are arranged to the corresponding transportation vehicle according to the transfer time sequence.

[0022] The comprehensive evaluation module is mainly used for continuously tracking the transferred goods after the transfer of all the added goods in the transfer station is completed, obtaining the total distribution time of the goods until the recipient receives the express goods, obtaining the evaluation of the recipient on the express logistics this time from the online shopping order evaluation page, setting key indicators according to all the added goods of the transfer station, the key indicators including load indicators of the original transfer point and the shunt transfer point, distribution time limit indicators of the shunted goods, customer satisfaction indicators, so as to judge whether the shunt scheme of the transfer station meets the standard; The load indicators are calculated by the load balance of the original transfer point and the shunt transfer point, the actual load of the original transfer point after shunting and the actual load of the shunt transfer point after receiving the shunted goods, and then the maximum load parameters of the two are retrieved, and the difference between the maximum load and the actual load of the original transfer point and the difference between the maximum load and the actual load of the shunt transfer point are calculated respectively; The two differences are compared with the respective maximum load, and the average value of the two is taken as the load indicator. The higher the value is, the more sufficient the pressure relief of the original transfer point is and the shunt transfer point is not overloaded, and the better the load balance effect is; The calculation of the time limit indicator is based on the time limit deviation of a single ticket, and the performance of all shunted goods is comprehensively considered. For each shunted goods, the actual distribution time and the specified distribution time limit are queried through the logistics system. If the actual time is not more than the specified time limit, the single ticket time limit deviation rate is obtained by subtracting the ratio of the actual time to the specified time limit from 1. If the actual time is overdue, the single ticket time limit deviation rate is 0. Then the average value of the single ticket time limit deviation rates of all shunted goods is calculated as the final time limit indicator. The higher the value is, the better the overall distribution time limit performance of the shunted goods is; The customer satisfaction indicator is mainly affected by the star rating evaluation and the complaint data. All existing logistics evaluation systems in the prior art are judged according to star rating, which is one star to five stars. The star rating evaluation of the customer on the shunted goods can be obtained from the logistics evaluation system background, and the average value of all ratings is converted into a standardized value of 0-1 as the basic satisfaction. Then the complaint amount directly related to shunting is counted, and the complaint influence coefficient is obtained by subtracting the proportion of the complaint amount in the total number of shunted goods from 1. The more complaints, the lower the coefficient. Finally, the basic satisfaction and the complaint influence coefficient are weighted according to the proportion of 7:3 to obtain the customer satisfaction indicator. The higher the value is, the better the overall evaluation of the customer on the shunting service is; The weight coefficients of the key indicators are obtained by the following method: The load weight coefficient is mainly determined according to the properties of the goods, and is used to reflect the influence degree of the goods on the transfer load. In the calculation, the proportion of the volume of a single ticket of goods to the historical maximum volume of a single piece of goods and the proportion of the weight of a single ticket of goods to the historical maximum weight of a single piece of goods are calculated respectively, and then the two proportions are weighted by weighting the weight and summed up, and then multiplied by the goods type coefficient, wherein the fragile goods coefficient is 1.2, the ordinary goods is 1.0, and the light bubble goods is 0.8. Finally, the result is normalized. The larger the volume and the heavier the weight of the goods or the more fragile the goods are, the higher the coefficient is, which means that the load index accounts for a larger proportion in the overall evaluation. The time limit weight coefficient is used to reflect the influence of environmental factors on the distribution time limit evaluation, which is determined by the coefficients of three dimensions of weather, traffic flow and time period. In the weather coefficient, the sunny day is 0.3, the light rain or cloudy day is 0.4, and the heavy rain or snow is 0.6. In the traffic flow coefficient, the road is smooth, the coefficient is 0.3, the coefficient is 0.5, and the congestion is 0.7. In the time period coefficient, the peak period is 1.2, the flat peak period is 1.0, and the trough period is 0.8. After multiplying the three coefficients, the normalization processing is carried out. The worse the weather, the more congested the traffic or the peak period, the higher the coefficient, which means that the importance of the distribution time limit index in the overall evaluation is higher. The customer satisfaction weight coefficient is set to ensure the basic position of customer experience in the evaluation, which is complementary to the load weight coefficient and the time limit weight coefficient. The value is 1 minus the sum of the load weight coefficient and the time limit weight coefficient. If the calculation result is lower than 0.2, take 0.2. Finally, the load index, the load weight coefficient, the distribution time limit index, the time limit weight coefficient, the customer satisfaction index and the customer satisfaction weight coefficient are weighted and summed up to obtain the total index of the distribution of the transfer station. The total index of the distribution of the transfer station is judged based on the evaluation index set based on the historical data. If the total index of the distribution is lower than the evaluation index, it means that the distribution does not meet the standard. If the total index of the distribution is higher than the evaluation index, it means that the distribution meets the standard. It should be noted that the time limit weight coefficient of the evaluation index and the total index of the distribution is the same.

[0023] The above content is only an example and description of the concept of the present application. Those skilled in the art can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, as long as they do not deviate from the concept of the present application or exceed the scope defined by the present application.

Claims

1. A logistics transportation diversion method based on data analysis, characterized in that: The following steps are involved: S1. Obtain information related to newly received express cargo at the logistics transfer station; the information related to the express cargo includes the size of the express cargo, the express origin, the express destination, and the express delivery time; S2. Newly received goods are classified into lower-level transfers and same-level transfers. After classification, the express goods at the same transfer point are arranged according to the delivery time and express destination to obtain the corresponding delivery time sequence; S3. Calculate the time it takes for the transfer vehicle to arrive at the transfer point based on the transfer departure time, analyze the total logistics load of the transfer point after the transfer vehicle arrives at the transfer point based on the historical data of the transfer point, and determine whether the transfer cargo needs to be diverted based on the total logistics load of the transfer point; S4. Select some cargo from the delivery time sequence for diversion, obtain the distances between adjacent transfer points, and deliver the selected diverted cargo to the adjacent transfer points; S5. After the transfer is completed, obtain the logistics load of the transfer point, track the subsequent delivery of express goods, and analyze whether the diversion meets the standards.

2. A logistics transportation diversion method based on data analysis according to claim 1, characterized in that: The specific working contents of step S3 are as follows: The time it takes for the logistics transport vehicle to arrive at the transfer point is calculated based on the departure time of the logistics transport vehicle, the average driving speed of the logistics transport vehicle, and the distance between the transfer station and the transfer point; Obtain the estimated logistics load of the current transshipment point based on the historical data of the transshipment point; Calculate the total logistics load of the transfer point by combining the transferred logistics load with the estimated logistics load of the transfer point; Compare the total logistics load of the transfer point with the maximum load that the transfer point can bear. When the total logistics load of the transfer point exceeds the maximum load that the transfer point can bear, it is determined that cargo diversion is required, otherwise cargo diversion will not be carried out.

3. A logistics transportation diversion method based on data analysis according to claim 2, characterized in that: The specific working contents of step S4 are as follows: After determining that cargo diversion is necessary, select some cargo from the cargo time series of the corresponding transshipment point for diversion; Obtain the adjacent transfer points of the target transfer point as the diversion transfer point, obtain the distance between the diversion transfer point and the transfer station, and calculate the time it takes for the diverted goods to reach the diversion transfer point; Obtain the logistics load of the diversion transfer point when the diversion cargo load arrives at the diversion transfer point based on historical data, and obtain the total cargo load of the diversion transfer point based on the logistics load and the diversion cargo load of the diversion transfer point; If the total cargo load of the diversion transfer point does not exceed the maximum load of the diversion transfer point, the diverted cargo will be transported to the diversion transfer point.

4. A logistics transportation diversion method based on data analysis according to claim 3, characterized in that: The selection of some goods for diversion is carried out in the following ways: Based on the historical logistics data and logistics network topology information of the diversion transfer point, the conventional distribution coverage area and the corresponding standard route of the diversion transfer point are extracted to establish a diversion transfer point route coverage database; Based on the relevant information of the express cargo, the final destination of the cargo to be diverted from the original transfer point is extracted to form a destination list of the cargo to be diverted; Compare the list of destinations of goods to be diverted with the database of diversion and transfer point route coverage, filter out goods whose destinations fall within the direct coverage area of ​​the diversion and transfer point or the area covered by its standard route, and mark them as candidate goods with route compatibility; Analyze the average delivery time and transit node connection efficiency of the destination of route-compatible candidate goods when transiting through the diversion transfer point based on historical data; The candidate cargoes with route compatibility that have passed the transit feasibility verification are retained and sorted according to the degree of matching between the cargoes and the diversion transfer point routes to form a priority diversion list with route compatibility. From the path compatible priority diversion list, combined with the total load that needs to be diverted at the original transfer point, select goods in sequence until the total load of the selected goods meets the diversion requirements, and the selection of diverted goods is completed.

5. The method for logistics transportation and diversion based on data analysis according to claim 1, characterized in that: The specific working contents of step S5 are as follows: Setting key indicators, including load indicators of the original transfer point and the diversion transfer point, diversion cargo delivery efficiency indicators, and customer satisfaction indicators; The collected load indicators, delivery time indicators, and customer satisfaction indicators are comprehensively calculated to obtain the total diversion indicator. Based on the total diversion indicator and the evaluation indicators set based on historical data, it is judged whether the current diversion meets the standards and comprehensively determines whether the overall diversion meets the standards. Record the compliance status of this diversion and store it in association with historical data.

6. A logistics transportation diversion method based on data analysis according to claim 5, characterized in that: The key indicators are obtained as follows: After the logistics transfer is completed, the actual logistics load of the original transfer point and the diversion transfer point is obtained, and the difference between the actual logistics load of the original transfer point and the maximum load of the original transfer point is calculated. The difference between the actual load of the diversion transfer point and the maximum load of the diversion transfer point is calculated to obtain the difference, and the load index is obtained based on the two differences; The delivery completion time of the diverted goods is collected through the logistics query system, and the delivery time efficiency index is calculated based on the actual delivery time efficiency of the diverted goods and the delivery time efficiency stipulated for the diverted goods; Collect customer reviews of the corresponding logistics goods according to the logistics evaluation page, and use the customer's actual star rating as the customer satisfaction indicator.

7. A logistics transportation diversion method based on data analysis according to claim 6, characterized in that: The method for obtaining the total diversion index is as follows: Use the size and weight of express shipments as load weight coefficients; The weather and traffic volume of the diverted cargo vehicles during the transportation process on the same day are used as the time efficiency weight coefficient; According to the rule that the sum of weights equals one, the difference between one and the sum of the load weight coefficient and the timeliness weight coefficient is used as the customer satisfaction weight coefficient; The total diversion index is obtained by weighted summing the load weight coefficient, load index, time efficiency weight coefficient, delivery time efficiency index, customer satisfaction index, and customer satisfaction weight coefficient.

8. A logistics transportation and diversion system based on data analysis The logistics transportation and diversion method based on data analysis according to claim 7 is characterized in that: Includes the following modules: The data collection module is used to obtain information related to express goods added to the logistics transfer station; The data analysis module obtains the transfer point of newly added goods based on the relevant information of express goods, and combines historical data to obtain the total logistics load of the transfer point after receiving the newly added goods. Based on the total logistics load of the transfer point, it determines whether the transferred goods need to be diverted. If diversion is necessary, some goods are selected for diversion and transported to adjacent transfer points; The comprehensive evaluation module obtains the logistics load of the transfer point, tracks the subsequent delivery of express goods, and analyzes whether the current diversion meets the standards.

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