Logistics information management system and method applied to cargo tracking

Abstract

The invention discloses a logistics information management system and method applied to cargo tracking, and relates to the technical field of logistics information management. Logistics attributes in various types of logistics information in logistics transportation records are extracted, the logistics records are classified according to the logistics attributes, transportation time rules of various types of logistics attributes in historical records are extracted, and the transportation time rules are classified according to the logistics attributes; the method comprises the following steps: acquiring and collecting attribute differences between any two logistics attributes, acquiring actual time of cargo transportation in an inner logistics path, performing accumulation on a difference value between the actual logistics time and a transportation time prediction value to calculate a time correction value, and correcting the predicted time of the cargo passing through the logistics path through the time correction value to obtain a time correction value. In a small-scale range, whether the logistics state deviates from the expectation or not is accurately predicted and tracked, the logistics prediction time is adjusted in real time, and the logistics state is finely managed.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics information management, and in particular to a logistics information management system and method for cargo tracking. Background Art

[0002] As the volume of freight logistics business continues to grow, how to effectively monitor the status of goods, prevent the loss and damage of goods during transportation, and ensure the timely tracking of goods has become a research hotspot in the logistics field. With the development of Internet of Things technology, logistics tracking methods have also been further upgraded. Internet of Things technology can realize real-time monitoring and tracking of urban distribution vehicles and goods, and can realize the full tracking and tracing of cross-border goods.

[0003] In the prior art, historical logistics transportation data is usually analyzed, and the time characteristics of historical logistics transportation time are extracted through mathematical models such as time recurrent neural networks to obtain the management threshold of logistics transportation time. However, such a method is difficult to dynamically adjust the time management threshold according to the real-time situation on the transportation path. On the other hand, the management of the time management threshold in the prior art is difficult to reflect the real-time status of logistics transportation, so it is impossible to detect abnormalities in the logistics status in a timely manner. Summary of the invention

[0004] The object of the present invention is to provide a logistics information management system and method for cargo tracking to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a logistics information management method applied to cargo tracking, the method comprising: Step S100: obtaining logistics transport records of goods in the logistics path, extracting logistics attributes from various types of logistics information in the logistics transport records, and classifying the logistics records according to the logistics attributes; Step S200: extracting the transport time rules of various logistics attributes in the historical records, and obtaining and collecting the attribute differences between any two logistics attributes; Step S300: within a unit time range, obtaining the actual time of cargo transportation in the internal logistics path, collecting the logistics attributes of the cargo transported within the unit time range, accumulating the difference between the actual logistics time and the predicted value of the transportation time, and obtaining a time correction value; Step S400: Obtain a certain cargo arriving at the starting point of a logistics path and the logistics attributes of the cargo, correct the estimated time for the cargo to pass through the logistics path by using a time correction value, and when the cargo passes through the logistics path within the corrected time range, issue an alarm to relevant personnel.

[0006] Furthermore, step S100 includes: Step S101: Obtain the historical records of cargo transportation, collect all the transportation information, weather information and cargo information in the historical records, set unique codes for different types of transportation, weather and cargo types, take one of the historical records of cargo transportation as a historical logistics record, and obtain any historical logistics record as a target historical logistics record; Step S102: Obtain the logistics transportation path of the goods in the target historical logistics record, obtain the transfer stations in the logistics transportation path, and collect the i-th and i+1-th transfer stations in the logistics transportation path, respectively denoted as p i and p i+1 , the transfer station p i and transfer station i+1 The path between them is taken as the target segment; Step S103: Obtain the historical logistics records of the target, and the goods arrive at the transfer station p i The time t i and arrive at the transfer station i+1 The time t i+1 , calculate the transportation time T of logistics transportation in the target segment, T=t i+1 -t i ; Step S104: Obtain the logistics attributes in the target historical logistics record, the logistics attributes include: transportation, weather and cargo type, and collect all codes corresponding to the logistics attributes into the logistics attribute set of the target logistics record.

[0007] Further, step S200 includes: Step S201: Collect a number of historical logistics records, obtain the logistics transportation path of each historical logistics record, and collect the historical logistics records including the target segment in the logistics transportation path into a first logistics record set; Step S202: obtaining a logistics attribute set of each historical logistics record in the first logistics record set, classifying historical logistics records with the same logistics attributes into one category, and respectively aggregating each category of historical logistics records into a historical logistics data set of the corresponding category; Step S203: Obtain a historical logistics data set of the k-th logistics attribute, obtain the transportation time of all historical logistics records in the historical data set, calculate the average transportation time, and record the average as the time reference value RT of the k-th logistics attribute k ; Step S204: Gather the logistics attributes of several historical logistics records to obtain a logistics attribute set Q of the kth type of logistics attributes k and the logistics attribute set Q of the f-th type of logistics attributes f , calculate the logistics attribute set Q k and the f-th logistics attribute set Q fThe distance encoded in is recorded as the distance between the k-th logistics attribute and the f-th logistics attribute; The logistics status is marked through coding, the logistics attribute information is digitized, and the differences between logistics attributes are found by calculating the serial digital distance.

[0008] Furthermore, step S300 includes: Step S301: Take a current logistics transport as the target logistics, obtain the logistics transport path of the target logistics, the logistics transport path of the target logistics includes the target segment, obtain the target logistics to the i-th transfer station p i Moment TU i , get TU i In the time range before the time length T0, all the i Arrive at the transfer station i+1 The logistics transport records are collected into a second logistics record set; Step S302: Obtain the logistics attributes of the target logistics, record the logistics attributes as the target logistics attributes, and obtain the logistics attributes of all logistics transport records in the second logistics record set. Step S303: Obtain the jth logistics transport record in the second logistics set, and record the distance between the logistics attribute of the jth logistics and the target logistics attribute as d j , calculate the coefficient reference value α of the jth logistics transport record j , α j =1 / d j ; Step S304: Gathering the reference coefficients of all logistics transport records in the second logistics set, summing up all the reference coefficients to obtain a reference value M; Step S305: Calculate the weight coefficient β of the jth logistics transport record j , β j =α j / M; Step S306: Calculate the predicted time correction value cv of the target logistics. , where N represents the total number of logistics transport records in the second logistics set, and H j It represents the difference between the actual transportation time of the jth logistics transportation in the target segment and the time reference value within the time range of T0; In the actual operation process of the logistics route, due to the influence of actual conditions, such as traffic congestion, transfer station throughput or weather, the actual update time of logistics information may be different from the predicted time. These influences will not only affect one logistics transport, but also have similar impacts on related logistics transports in the route; The management threshold of the subsequent forecast time is corrected by the difference between the actual logistics transportation time and the predicted value within the unit time range.

[0009] Furthermore, step S400 includes: Step S401: Obtain the time reference value RT0 of the target logistics attribute, and calculate the time threshold τ of the target logistics, τ=RT0+cv; Step S402: From TU i Start timing and set TU i The end time of the τ time period is recorded as the target time TU tar , at the target time TU tar If the target logistics does not pass through p i+1 At the transfer station, an alarm is issued to the logistics management personnel; By fine-tuning the management of logistics routes, conducting logistics forecasts and logistics time management for each section of the logistics route, the logistics status can be tracked, avoiding the difficulty in applying the logistics management thresholds calculated on a large scale and the real-time tracking of logistics information.

[0010] In order to better implement the above method, a logistics information management system for cargo tracking is also proposed, the system comprising: The logistics record management module, the time difference calculation module, the time correction module and the information prompt module, wherein the logistics record management module is used to manage the logistics transport records and the logistics attributes in the logistics transport records; the time difference calculation module is used to manage the difference in transportation time of goods with different types of logistics attributes in the logistics path; the time correction module is used to collect the logistics attributes of the goods transported within a unit time range, accumulate the difference in transportation time between different logistics attributes, and obtain the time correction value; the information prompt module is used to track the logistics information of the target logistics and alert relevant personnel when the alarm conditions are met.

[0011] Furthermore, the logistics record management module includes: a logistics attribute management unit, a coding management unit, a path management unit, a transportation time management unit and a logistics attribute management unit, wherein the logistics attribute management unit is used to obtain logistics information in the physical transportation record, the coding management unit is used to manage the unique codes of different types of transportation vehicles, weather and cargo types, the path management unit is used to manage the logistics transportation path in the logistics transportation record, the transportation time management unit is used to manage the transportation time in the logistics transportation path, and the logistics attribute management unit is used to manage the logistics attribute set of the historical logistics record; Further, the time difference calculation module includes: a logistics record classification unit and a time reference value calculation unit, wherein the logistics record classification unit is used to classify historical logistics records according to logistics attributes, and the time reference value calculation unit is used to calculate the time reference values ​​of various logistics attributes; Furthermore, the time correction module includes: a target logistics management unit, a logistics record screening unit, a logistics attribute comparison unit, a weight coefficient calculation unit and a correction value calculation unit, wherein the target logistics management unit is used to manage the logistics information of the target logistics, the logistics record screening unit is used to screen the logistics records within the unit time range, and manage the second logistics record set, the logistics attribute comparison unit is used to compare the logistics attributes of the target logistics with the logistics attributes of the logistics records in the second logistics record set, the weight coefficient calculation unit is used to calculate the weight coefficient of each logistics record in the second logistics record set, and the correction value calculation unit is used to calculate the predicted time correction value of the target logistics; Furthermore, the information prompt module includes: a time threshold calculation unit, an alarm time management unit and an alarm unit, wherein the time threshold calculation unit is used to calculate the time threshold of the target logistics, the alarm time management unit is used to manage the alarm time of the target logistics, and the alarm unit is used to issue an alarm prompt when the target logistics fails to arrive at the transfer station within the alarm time.

[0012] Compared with the prior art, the beneficial effects of the present invention are: collecting the characteristics of historical logistics records in the logistics path, calculating the correlation between different logistics characteristics and the impact of the correlation and transportation time. On the one hand, the present invention manages the logistics transportation process in a refined manner to avoid scenarios where the relevant algorithms are difficult to apply due to the short logistics path to be predicted. Therefore, it is possible to accurately predict and track whether the logistics status deviates from expectations in a small scale range. On the other hand, the present invention adjusts the logistics prediction time in real time, combines historical rules with the actual transportation status in the logistics path, and accurately manages the logistics transportation time. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a structural schematic diagram of a logistics information management system applied to cargo tracking of the present invention; Figure 2 The present invention is a flow chart of a logistics information management method for cargo tracking. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] Example: Figure 1 and Figure 2 As shown, the present invention provides a technical solution, a logistics information management method applied to cargo tracking, the method comprising: Step S100: obtaining logistics transport records of goods in the logistics path, extracting logistics attributes from various types of logistics information in the logistics transport records, and classifying the logistics records according to the logistics attributes; Wherein, step S100 includes: Step S101: Obtain the historical records of cargo transportation, collect all the transportation information, weather information and cargo information in the historical records, set unique codes for different types of transportation, weather and cargo types, take one of the historical records of cargo transportation as a historical logistics record, and obtain any historical logistics record as a target historical logistics record; Step S102: Obtain the logistics transportation path of the goods in the target historical logistics record, obtain the transfer stations in the logistics transportation path, and collect the i-th and i+1-th transfer stations in the logistics transportation path, respectively denoted as p i and p i+1 , the transfer station p i and transfer station i+1 The path between them is taken as the target segment; Step S103: Obtain the historical logistics records of the target, and the goods arrive at the transfer station p i The time t i and arrive at the transfer station i+1 The time t i+1 , calculate the transportation time T of logistics transportation in the target segment, T=t i+1 -t i ; Step S104: Obtain logistics attributes in the target historical logistics record, the logistics attributes include: transportation, weather and cargo type, and collect all codes corresponding to the logistics attributes into the logistics attribute set of the target logistics record; In the embodiment, the coding categories of given transportation tools, weather and cargo types are divided into A, B and C, and the codes are represented by corresponding lowercase letters. For example, a certain logistics attribute set is represented by (a0, b0, c0), where a0 represents the corresponding code of the transportation tool class, b0 represents the corresponding code of the weather class, and c0 represents the corresponding code of the cargo type.

[0016] Step S200: extracting the transport time rules of various logistics attributes in the historical records, and obtaining and collecting the attribute differences between any two logistics attributes; Wherein, step S200 includes: Step S201: Collect a number of historical logistics records, obtain the logistics transportation path of each historical logistics record, and collect the historical logistics records including the target segment in the logistics transportation path into a first logistics record set; Step S202: obtaining a logistics attribute set of each historical logistics record in the first logistics record set, classifying historical logistics records with the same logistics attributes into one category, and respectively aggregating each category of historical logistics records into a historical logistics data set of the corresponding category; Step S203: Obtain a historical logistics data set of the k-th logistics attribute, obtain the transportation time of all historical logistics records in the historical data set, calculate the average transportation time, and record the average as the time reference value RT of the k-th logistics attribute k ; Step S204: Gather the logistics attributes of several historical logistics records to obtain a logistics attribute set Q of the kth type of logistics attributes k and the logistics attribute set Q of the f-th type of logistics attributes f , calculate the logistics attribute set Q k and the f-th logistics attribute set Q f The distance encoded in is recorded as the distance between the k-th logistics attribute and the f-th logistics attribute; For example, the logistics attribute set Q of the k-th logistics attribute k (a k , b k , c k ), the logistics attribute set Q of the f-th type of logistics attributes f (a f , b f , c f ); Calculate Q k With Q f The distance between kf , ; In the embodiment, Manhattan distance and cosine similarity may also be used to calculate the secondary distance between logistics attribute sets.

[0017] Step S300: within a unit time range, obtaining the actual time of cargo transportation in the internal logistics path, collecting the logistics attributes of the cargo transported within the unit time range, accumulating the difference between the actual logistics time and the predicted value of the transportation time, and obtaining a time correction value; Wherein, step S300 includes: Step S301: Take a current logistics transport as the target logistics, obtain the logistics transport path of the target logistics, the logistics transport path of the target logistics includes the target segment, obtain the target logistics to the i-th transfer station p i Moment TU i , get TU i In the time range before the time length T0, all the i Arrive at the transfer station i+1The logistics transport records are collected into a second logistics record set; Step S302: Obtain the logistics attributes of the target logistics, record the logistics attributes as the target logistics attributes, and obtain the logistics attributes of all logistics transport records in the second logistics record set. Step S303: Obtain the jth logistics transport record in the second logistics set, and record the distance between the logistics attribute of the jth logistics and the target logistics attribute as d j , calculate the coefficient reference value α of the jth logistics transport record j , α j =1 / d j ; For example, the second logistics record set includes 4 logistics transport records. The logistics attribute set of each logistics transport record is extracted respectively, and the logistics attribute set of the target logistics attribute is calculated. The distances are recorded as d1=3, d2=5, d3=1 and d4=1 respectively. The reference values ​​of the calculation coefficients are α1=1 / 3, α2=1 / 5, α3=1 and α4=1. In addition, in the implementation process, in order to ensure the normal operation of the operation, the distance protection threshold d is set. min , when any distance is less than d min When 0<d min <1, the coefficient reference value takes a preset fixed value; Step S304: Gathering the reference coefficients of all logistics transport records in the second logistics set, summing up all the reference coefficients to obtain a reference value M; Step S305: Calculate the weight coefficient β of the jth logistics transport record j , β j =α j / M; In the embodiment, j=4, M is about 2.533, β1=0.131, β2=0.080, β3=0.395, β4=0.395; Step S306: Calculate the predicted time correction value cv of the target logistics. , where N represents the total number of logistics transport records in the second logistics set, and H j It represents the difference between the actual transportation time of the jth logistics transportation in the target segment and the time reference value within the time range of T0; The logistics attributes of the first logistics transport record, the second transport record, the third logistics transport record and the fourth logistics record are obtained respectively, and according to the logistics attributes of each logistics record, the time reference values ​​of the corresponding logistics attributes are obtained respectively, which are recorded as rt1, rt2, rt3 and rt4; Further obtain the number of logistics records in a unit time through p i Transfer station to p i+1The actual time of the transfer station is denoted as t act1 ,t act2 ,t act3 and t act4 ; Calculate H1 = t act1 - rt1, H2 = t act2 - rt2, H3 = t act3 - rt3, H4 = t act4 -rt4; For example, H1=3 unit time, H2=2 unit time, H3=-2 unit time, H4=1 unit time, and the calculated cv=0.393+0.16-0.79+0.395=0.158 unit time.

[0018] Step S400: obtaining a certain cargo arriving at the starting point of the logistics path and the logistics attributes of the cargo, and correcting the estimated time for the cargo to pass through the logistics path by using the time correction value, and when the cargo passes through the logistics path within the corrected time range, giving an alarm to relevant personnel; Wherein, step S400 includes: Step S401: Obtain the time reference value RT0 of the target logistics attribute, and calculate the time threshold τ of the target logistics, τ=RT0+cv; Step S402: From TU i Start timing and set TU i The end time of the τ time period is recorded as the target time TU tar , at the target time TU tar If the target logistics does not pass through p i+1 At the transfer station, an alarm is issued to the logistics management personnel; When the target moment TU tar When i+1 The transfer station sends a search message to check whether the target logistics has passed the p i+1 Transfer station, or retrieve p i+1 Logistics status update information sent by the transfer station, p i+1 Whether the transfer station reports that the target logistics has passed p i+1 Transfer station.

[0019] The system includes: logistics record management module, time difference calculation module, time correction module and information prompt module; The logistics record management module is used to manage logistics transport records and logistics attributes in logistics transport records. The logistics record management module includes: a logistics attribute management unit, a coding management unit, a path management unit, a transportation time management unit and a logistics attribute management unit. The logistics attribute management unit is used to obtain logistics information in physical transport records, the coding management unit is used to manage unique codes of different types of transportation vehicles, weather and cargo types, the path management unit is used to manage logistics transport paths in logistics transport records, the transportation time management unit is used to manage transportation time in logistics transport paths, and the logistics attribute management unit is used to manage a set of logistics attributes of historical logistics records. The time difference calculation module is used to manage the difference in the transportation time of goods with different types of logistics attributes in the logistics path, wherein the time difference calculation module includes: a logistics record classification unit and a time reference value calculation unit, wherein the logistics record classification unit is used to classify historical logistics records according to logistics attributes, and the time reference value calculation unit is used to calculate the time reference values ​​of various types of logistics attributes; Among them, the time correction module is used to collect the logistics attributes of the goods transported within a unit time range, accumulate the difference in transportation time between different logistics attributes, and obtain the time correction value, wherein the time correction module includes: a target logistics management unit, a logistics record screening unit, a logistics attribute comparison unit, a weight coefficient calculation unit and a correction value calculation unit, wherein the target logistics management unit is used to manage the logistics information of the target logistics, the logistics record screening unit is used to screen the logistics records within the unit time range, and manage the second logistics record set, the logistics attribute comparison unit is used to compare the logistics attributes of the target logistics with the logistics attributes of the logistics records in the second logistics record set, the weight coefficient calculation unit is used to calculate the weight coefficient of each logistics record in the second logistics record set, and the correction value calculation unit is used to calculate the predicted time correction value of the target logistics; Among them, the information prompt module is used to track the logistics information of the target logistics, and to alert relevant personnel when the alarm conditions are met. Among them, the information prompt module includes: a time threshold calculation unit, an alarm time management unit and an alarm unit. Among them, the time threshold calculation unit is used to calculate the time threshold of the target logistics, the alarm time management unit is used to manage the alarm time of the target logistics, and the alarm unit is used to issue an alarm prompt when the target logistics fails to arrive at the transfer station within the alarm time.

[0020] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A logistics information management method for cargo tracking, characterized in that: The method comprises the following steps: Step S100: obtaining logistics transport records of goods in the logistics path, extracting logistics attributes from various types of logistics information in the logistics transport records, and classifying the logistics records according to the logistics attributes; Step S200: extracting the transport time rules of various logistics attributes in the historical records, and obtaining and collecting the attribute differences between any two logistics attributes; Step S300: within a unit time range, obtaining the actual time of cargo transportation in the internal logistics path, collecting the logistics attributes of the cargo transported within the unit time range, accumulating the difference between the actual logistics time and the predicted value of the transportation time, and obtaining a time correction value; Step S400: Obtain a certain cargo arriving at the starting point of a logistics path and the logistics attributes of the cargo, correct the estimated time for the cargo to pass through the logistics path by using a time correction value, and when the cargo passes through the logistics path within the corrected time range, issue an alarm to relevant personnel.

2. The method for logistics information management applied to cargo tracking according to claim 1, characterized in that: Step S100 includes: Step S101: Obtain the historical records of cargo transportation, collect all the transportation information, weather information and cargo information in the historical records, set unique codes for different types of transportation, weather and cargo types, take one of the historical records of cargo transportation as a historical logistics record, and obtain any historical logistics record as a target historical logistics record; Step S102: Obtain the logistics transportation path of the goods in the target historical logistics record, obtain the transfer stations in the logistics transportation path, and collect the i-th and i+1-th transfer stations in the logistics transportation path, respectively denoted as p i and p i+1 , the transfer station p i and transfer station i+1 The path between them is taken as the target segment; Step S103: Obtain the historical logistics records of the target, and the goods arrive at the transfer station p i The time t i and arrive at the transfer station i+1 The time t i+1 , calculate the transportation time T of logistics transportation in the target segment, T=t i+1 -t i ; Step S104: Obtain the logistics attributes in the target historical logistics record, the logistics attributes including: transportation, weather and cargo type, and collect all codes corresponding to the logistics attributes into the logistics attribute set of the target logistics record.

3. The method for logistics information management applied to cargo tracking according to claim 2, characterized in that: Step S200 includes: Step S201: collecting a number of historical logistics records, obtaining the logistics transportation path of each historical logistics record, and collecting the historical logistics records including the target segment in the logistics transportation path into a first logistics record set; Step S202: obtaining a logistics attribute set of each historical logistics record in the first logistics record set, classifying historical logistics records with the same logistics attributes into one category, and respectively aggregating each category of historical logistics records into a historical logistics data set of the corresponding category; Step S203: Obtain a historical logistics data set of the k-th logistics attribute, obtain the transportation time of all historical logistics records in the historical data set, calculate the average value of the transportation time, and record the average value as the time reference value RT of the k-th logistics attribute k ; Step S204: Collect the logistics attributes of the several historical logistics records to obtain a logistics attribute set Q of the kth type of logistics attributes k and the logistics attribute set Q of the f-th type of logistics attributes f , calculate the logistics attribute set Q k and the f-th logistics attribute set Q f The distance encoded in is recorded as the distance between the k-th logistics attribute and the f-th logistics attribute.

4. The method for logistics information management applied to cargo tracking according to claim 3 is characterized in that: Step S300 includes: Step S301: Take a current logistics transport as the target logistics, obtain the logistics transport path of the target logistics, the logistics transport path of the target logistics includes the target segment, obtain the target logistics to the i-th transfer station p i Moment TU i , get TU i In the time range before the time length T0, all the i Arrive at the transfer station i+1 logistics transport records, and collecting the logistics transport records into a second logistics record set; Step S302: Obtain the logistics attributes of the target logistics, record the logistics attributes as the target logistics attributes, and obtain the logistics attributes of all logistics transport records in the second logistics record set. Step S303: Obtain the jth logistics transport record in the second logistics set, and record the distance between the logistics attribute of the jth logistics and the target logistics attribute as d j , calculate the coefficient reference value α of the j-th logistics transport record j , α j =1 / d j ; Step S304: Gathering the reference coefficients of all logistics transport records in the second logistics set, summing up all the reference coefficients to obtain a reference value M; Step S305: Calculate the weight coefficient β of the j-th logistics transport record j , β j =α j / M; Step S306: Calculate the predicted time correction value cv of the target logistics. , where N represents the total number of logistics transport records in the second logistics set, and H j It represents the difference between the actual transportation time of the jth logistics transportation in the target segment and the time reference value within the time range.

5. The method for logistics information management applied to cargo tracking according to claim 4 is characterized in that: Step S400 includes: Step S401: Obtain the time reference value RT0 of the target logistics attribute, and calculate the time threshold τ of the target logistics, τ=RT0+cv; Step S402: From TU i Start timing and set TU i The end time of the τ time period is recorded as the target time TU tar , at the target time TU tar When the target logistics does not pass through the p i+1 The transfer station will send an alarm to the logistics management personnel.

6. A logistics information management system for cargo tracking, used to execute a logistics information management method for cargo tracking as claimed in any one of claims 1 to 5, characterized in that: The system includes: A logistics record management module, a time difference calculation module, a time correction module and an information prompt module, wherein the logistics record management module is used to manage logistics transport records and manage logistics attributes in logistics transport records; the time difference calculation module is used to manage the difference in transportation time of goods with different types of logistics attributes in the logistics path; the time correction module is used to collect the logistics attributes of the goods transported within the unit time range, accumulate the difference in transportation time between different logistics attributes, and obtain the time correction value; the information prompt module is used to track the logistics information of the target logistics and alert relevant personnel when the alarm conditions are met.

7. A logistics information management system for cargo tracking according to claim 6, characterized in that: The logistics record management module includes: a logistics attribute management unit, a coding management unit, a path management unit, a transportation time management unit and a logistics attribute management unit, wherein the logistics attribute management unit is used to obtain logistics information in physical transportation records, the coding management unit is used to manage unique codes for different types of transportation vehicles, weather and types of goods, the path management unit is used to manage logistics transportation paths in logistics transportation records, the transportation time management unit is used to manage transportation time in logistics transportation paths, and the logistics attribute management unit is used to manage the logistics attribute set of historical logistics records.

8. A logistics information management system for cargo tracking according to claim 6, characterized in that: The time difference calculation module includes: a logistics record classification unit and a time reference value calculation unit, wherein the logistics record classification unit is used to classify historical logistics records according to logistics attributes, and the time reference value calculation unit is used to calculate the time reference values ​​of various logistics attributes.

9. A logistics information management system for cargo tracking according to claim 6, characterized in that: The time correction module includes: a target logistics management unit, a logistics record screening unit, a logistics attribute comparison unit, a weight coefficient calculation unit and a correction value calculation unit, wherein the target logistics management unit is used to manage the logistics information of the target logistics, the logistics record screening unit is used to screen the logistics records within the unit time range and manage the second logistics record set, the logistics attribute comparison unit is used to compare the logistics attributes of the target logistics with the logistics attributes of the logistics records in the second logistics record set, the weight coefficient calculation unit is used to calculate the weight coefficient of each logistics record in the second logistics record set, and the correction value calculation unit is used to calculate the predicted time correction value of the target logistics.

10. A logistics information management system for cargo tracking according to claim 6, characterized in that: The information prompt module includes: a time threshold calculation unit, an alarm time management unit and an alarm unit, wherein the time threshold calculation unit is used to calculate the time threshold of the target logistics, the alarm time management unit is used to manage the alarm time of the target logistics, and the alarm unit is used to issue an alarm prompt when the target logistics fails to arrive at the transfer station within the alarm time.

Images