A traceability monitoring system suitable for logistics supply chain monitoring

Abstract

The application discloses a kind of suitable for logistics supply chain monitoring's traceability monitoring system, belong to logistics supply chain traceability system technical field.It includes the monitoring host of whole machine control, logistics information generation unit and logistics node sorting unit, the monitoring host is provided with traceability code storage, node traceability temporary storage, logistics tracking unit and supply chain traceability module;The logistics information generation unit includes logistics information acquisition module and logistics code generation unit, the logistics information acquisition module is built-in with logistics information input template;The logistics information acquisition module is connected with logistics code generation unit communication;The logistics code generation unit generates logistics traceability code, the traceability monitoring system suitable for logistics supply chain monitoring of the application, can be according to demand through simple path traceability, also can improve the key frame video corroboration of entire path, when carrying out logistics piece damage piece traceability, both can improve the comprehensiveness of traceability, can also improve traceability efficiency.

Description

Technical Field

[0001] This invention specifically relates to a traceability monitoring system suitable for logistics supply chain monitoring, belonging to the technical field of logistics supply chain traceability systems. Background Technology

[0002] A logistics supply chain is a chain formed by all logistics activities involved in economic activities conducted within the time frame from the start of serving market demand to the fulfillment of that demand. To ensure the security of logistics turnover, the logistics supply chain needs to be traceable. Existing traceability monitoring systems for logistics supply chains can only record and monitor data at each stage of the supply chain. While users can trace and verify each stage of product production after purchasing a product, they cannot combine the stored data from each stage to monitor the overall operation of the supply chain. Therefore, Chinese Patent Publication No. CN117557283B discloses a traceability monitoring system suitable for logistics supply chain monitoring. This system can... The existing traceability and monitoring system manages and analyzes the network nodes of the logistics supply chain. Each time goods are transferred at a network node, the supply order needs to be updated, ensuring that processing data at every stage after the goods are shipped from the supplier is recorded and stored. However, this system only monitors the completeness of the logistics supply chain information and analyzes any deficiencies; it cannot monitor the operation of the logistics supply chain itself. Furthermore, data entry during the distribution process is cumbersome and cannot be automated. Additionally, when a shipment is damaged, the existing system requires querying the entire route from the origin to the destination and determining the location of the damage, resulting in a large workload, slow location of damage, and low traceability efficiency. Summary of the Invention

[0003] To address the aforementioned issues, this invention proposes a traceability monitoring system suitable for logistics supply chain monitoring. It can trace along a simple path as needed and also enhance the key frame video evidence of the entire path. When tracing damaged or damaged logistics items, it can improve both the comprehensiveness and efficiency of the traceability process.

[0004] The traceability and monitoring system of the present invention, applicable to logistics supply chain monitoring, includes:

[0005] A monitoring host for whole-machine control, wherein the monitoring host is equipped with a traceability code storage repository, a node traceability temporary storage warehouse, a logistics tracking unit and a supply chain traceability module;

[0006] The logistics information generation unit includes a logistics information acquisition module and a logistics code generation unit. The logistics information acquisition module has a built-in logistics information input template. The logistics information acquisition module is communicatively connected to the logistics code generation unit. The logistics code generation unit generates a logistics traceability code, which includes an origin code, a destination code, a cargo type code, and a random code. When the logistics code generation unit obtains the logistics information entered by the logistics information acquisition module, it automatically generates a logistics traceability code. The logistics traceability code is embedded in the logistics printout and simultaneously uploaded and stored in the traceability code repository. The logistics information generation unit can complete the logistics information input and send the option information in the logistics information to the logistics code generation unit to generate the logistics traceability code. Finally, the logistics traceability code is embedded in the logistics printout and simultaneously uploaded to the traceability code repository.

[0007] The logistics node sorting unit is located at the nodes of the supply chain. It sorts goods entering and leaving the node and reads logistics traceability codes. It then uploads the read logistics traceability codes and node information to the monitoring host. The monitoring host updates the real-time logistics information of the logistics traceability codes to the logistics tracking unit and stores the corresponding logistics traceability codes in the corresponding node traceability storage warehouse. When the logistics node sorting unit is working, it uses a sorting belt to sort logistics items or uses a handheld barcode scanner to sort them. The sorting process needs to be monitored by the node video monitoring equipment throughout. After the barcode scanner on the sorting belt or the handheld barcode scanner scans the logistics traceability code, the barcode scanner reads the logistics traceability code and node information and uploads it to the monitoring host. The barcode scanners are divided into inbound barcode scanners, sorting barcode scanners, outbound barcode scanners, loading sorting barcode scanners, etc. The monitoring host confirms the node information, scanning location information or function information based on the registered barcode scanner number.

[0008] The supply chain traceability module includes an optimal route acquisition unit and a logistics code statistics unit. The logistics code statistics unit is communicatively connected to the traceability code repository. The logistics code statistics unit acquires all logistics traceability codes within a set time period and classifies and statistically analyzes them. It groups logistics traceability codes with the same origin and destination together, generating a temporary logistics circulation repository. The optimal route acquisition unit then acquires the logistics nodes traversed by the optimal route. The optimal route acquisition unit generates the optimal transportation route based on the origin and destination and acquires all logistics nodes traversed by the route. The monitoring host sequentially traces the nodes on the read route, specifically as follows: The monitoring host reads the traceability code data of a certain node on the path, including all logistics traceability codes within a set time period plus a set extension time period. This data is then sent to the matching database. Next, a brute-force matching operation is performed between the temporary logistics distribution warehouse and the matching database to obtain the quantity of items in the temporary logistics distribution warehouse that did not match and their corresponding traceability codes. The percentage of items that did not match is then calculated. When this percentage reaches 5%, a logistics distribution anomaly signal is issued. If a node issues more than three consecutive logistics distribution anomaly signals within a set time period, and these signals are issued by different temporary logistics distribution warehouses after brute-force matching, the monitoring host issues a signal indicating an operational anomaly for that node.

[0009] Furthermore, when the logistics code statistics unit classifies and counts the logistics traceability codes, it groups those with the same origin code into one group, those with the same destination code into another group, and those with the same cargo type code into yet another group within a set time period; it also counts the quantity of each group and displays the logistics supply chain circulation status in real time through charts.

[0010] Furthermore, the optimal path includes the path with the shortest transportation distance, the path with the shortest travel time, the path with the shortest highway toll, or the path chosen by the most people.

[0011] Furthermore, the logistics code generation unit is connected to an address code library and a goods type library. The logistics information acquisition module synchronously transmits the generated information to the logistics code generation unit. The logistics code generation unit only reads the option data from the logistics information acquisition module, eliminating manually entered data; and obtains the option code corresponding to the option data by querying the address code library and the goods type library.

[0012] During operation, logistics information is entered through the logistics information entry template in the logistics information acquisition module, including information such as recipient, sender, and address. The province, city, county, and town (township) of the address information are selected using optional data, while the specific address is entered manually. The cargo type is also selected using optional data. After the logistics code generation unit obtains the optional data and cargo type data from the logistics information acquisition module, it directly generates a logistics traceability code by querying the address code library and cargo type library. The logistics traceability code is then embedded into the logistics printout and simultaneously uploaded and stored in the traceability code repository.

[0013] Furthermore, the logistics tracking unit includes a path tracing module and a logistics detail tracing module. The logistics detail tracing module includes a traceability code input module and a monitoring generation module. The monitoring generation module is connected to a node video management unit, which is connected to a video storage library for storing videos of node sorting and loading / unloading locations. After the logistics detail tracing module is activated, the logistics traceability code is input through the logistics traceability code input module. The logistics tracking unit is then linked to the logistics traceability code to confirm the nodes traversed by the traceability code. The system then accesses the corresponding node storage unit within the node traceability temporary storage warehouse and retrieves the node information traversed by the traceability code through a query. The node information includes the node gun number and reading time node of the logistics traceability code. After obtaining the node information, the logistics detail traceability module sends it to the video management unit of the corresponding node. The video management unit selects the corresponding gun number video storage area in the video repository according to the node gun number, and extracts node video segments according to the reading time node. The time sequence of the node video segments is based on the time node of the node information as the reference time point, with the reference time point as the extraction center line, and extracts a set number of frames forward and backward respectively to obtain a node video segment. The node video segment is automatically named, and the name includes the node name and gun number function. The video management unit packages the video segments of each area inside the node through which the logistics traceability code passes according to the time sequence and sends them to the logistics detail traceability module. After obtaining the video compressed package of all the nodes through which the logistics traceability code passes, the logistics detail traceability module unpacks the compressed package and splices it into a traceability video according to the time sequence. The name of the node video segment is inserted at the beginning of each video segment in the traceability video.

[0014] Furthermore, the logistics node sorting unit is synchronized with the node video monitoring equipment in time.

[0015] Furthermore, the logistics tracking unit also includes a damage tracing and association module. This module comprises a damage registration unit, a damage storage unit, and an association calculation module. The damage storage unit stores a list of damaged parts, each entry including a logistics traceability code, the nodes traversed by the traceability code, the damage node, the damage location, and the cause of damage. When the damage tracing and association module is working, the logistics traceability code of the damaged part is entered through the damage registration unit. Then, the association calculation module obtains the traceability code, links it to the logistics tracking unit, confirms the nodes traversed by the traceability code, and updates the traceability code and corresponding nodes to the damage storage unit. The association calculation module... Based on the nodes in the circulation of the logistics traceability code, the damaged parts information list is traversed to query whether there are any overlapping nodes with the logistics traceability code, and a first-level traceability code association database is established. Then, the first-level traceability code association database is traversed to query whether the time period from warehousing to outbound is the same for the logistics traceability code to be associated and the logistics traceability code of the overlapping node. If there are overlapping overlapping nodes, the corresponding logistics traceability code is sent to the second-level traceability code association database. Next, the second-level traceability code association database is traversed to query the damaged nodes of the logistics traceability codes in the second-level traceability code association database. When the damaged node overlaps with one or more overlapping nodes, the association calculation module outputs the overlapping node, the damaged location, and the cause of damage in sequence as the maximum probability of the damaged location of the damaged part to be associated.

[0016] Furthermore, when the maximum probability does not match or after the maximum probability match is completed, the second maximum probability match is entered. During the matching process, the association calculation module traverses the damaged nodes in the damaged parts information list based on the nodes through which the logistics traceability code of the damaged parts circulates. When a damaged node matches a node through which the damaged parts circulates, the damaged node and the logistics traceability code are sent to the probability database. The association calculation module statistically analyzes the identical nodes in the probability database to obtain the proportion of each node. Then, it statistically analyzes the damaged locations corresponding to each node to obtain the proportion of each damaged location. Finally, it calculates the probability of a damaged location for a certain node. The probability of a damaged location is obtained by product calculation or superposition calculation. The product calculation is as follows: Probability of damaged location S = First proportional factor * Probability of the node * Second proportional factor * Probability of the damaged location; The superposition calculation is as follows: Probability of damaged location S = First proportional factor * Probability of the node + Second proportional factor * Probability of the damaged location, where the first proportional factor is 60% and the second proportional factor is 40%. The calculated probability of damaged locations is sorted from high to low to obtain the second probability of the damaged location of the damaged parts to be associated.

[0017] Furthermore, the logistics tracking unit communicates with the supply chain traceability module, which has a built-in node status traceability unit. The node status traceability unit communicates with the damage storage unit. The node status traceability unit traverses the list of damaged parts information. When the number of damaged nodes, the number of damaged locations, or the number of damaged causes exceed a set value within a set time span, the node status traceability unit issues a risk warning. The node status traceability unit can monitor the logistics flow status of each node or location, that is, monitor whether there is any damage to logistics parts at each node or location.

[0018] Compared with existing technologies, the traceability and monitoring system of the present invention, applicable to logistics supply chain monitoring, has the following advantages:

[0019] First, the sorting unit at the logistics node enables the automatic collection of logistics supply chain information, eliminating the need for manual data entry and preventing manual data modification.

[0020] Second, when tracing damaged logistics items, the potential correlation between damaged items can be utilized. For example, if a logistics item is damaged during transit, multiple items may appear in the same area. The maximum probability and the second probability are output by the tracing correlation module. The maximum probability is the correlation between damaged items, and the second probability is generated based on the historical transit damage performance of a certain location. During tracing, the target location is obtained through the maximum probability and the second probability, and the key frame video output by the logistics detail tracing module is used to locate and trace the target location. This can help to quickly complete the tracing of the damaged location. When the key frame video cannot be quickly traced, the entire video segment within the corresponding time period can be extracted based on the maximum probability and the second probability prompts. This can improve both the comprehensiveness and efficiency of tracing.

[0021] Third, for logistics traceability, simple logistics information can be traced through the path traceability module, or key frame video evidence of the entire path can be obtained through the logistics detail traceability module, which can achieve more comprehensive traceability.

[0022] Fourth, by monitoring logistics routes and nodes, it is possible to accurately detect whether there are any abnormalities in logistics flow at the nodes, and by tracing the historical list of damaged parts, it is possible to obtain timely risk warnings for the nodes. This can help to reformulate and modify the operation mode of the logistics supply chain, such as adjusting the combination of cargo types, node load, logistics transportation time points, and logistics transportation loads. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the overall structure of the traceability and monitoring system of the present invention.

[0024] Figure 2This is a schematic diagram of the workflow of the supply chain traceability module of the present invention.

[0025] Figure 3 This is a schematic diagram of the logistics code generation unit structure of the present invention.

[0026] Figure 4 This is a schematic diagram of the logistics tracking unit structure of the present invention.

[0027] Figure 5 This is a schematic diagram of the workflow structure of the logistics detail traceability module of the present invention.

[0028] Figure 6 This is a schematic diagram of the damage tracing and association module built into the logistics tracking unit of the present invention.

[0029] Figure 7 This is a schematic diagram of the workflow structure of the damage tracing and association module of the present invention.

[0030] Figure 8 This is a schematic diagram of the second most likely matching workflow structure of the present invention. Detailed Implementation

[0031] Example 1:

[0032] like Figures 1 to 6 The traceability and monitoring system shown is suitable for logistics supply chain monitoring and includes:

[0033] A monitoring host for whole-machine control, wherein the monitoring host is equipped with a traceability code storage repository, a node traceability temporary storage warehouse, a logistics tracking unit and a supply chain traceability module;

[0034] The logistics information generation unit includes a logistics information acquisition module and a logistics code generation unit. The logistics information acquisition module has a built-in logistics information input template. The logistics information acquisition module is communicatively connected to the logistics code generation unit. The logistics code generation unit generates a logistics traceability code, which includes an origin code, a destination code, a cargo type code, and a random code. When the logistics code generation unit obtains the logistics information entered by the logistics information acquisition module, it automatically generates a logistics traceability code. The logistics traceability code is embedded in the logistics printout and simultaneously uploaded and stored in the traceability code repository. The logistics information generation unit can complete the logistics information input and send the option information in the logistics information to the logistics code generation unit to generate the logistics traceability code. Finally, the logistics traceability code is embedded in the logistics printout and simultaneously uploaded to the traceability code repository.

[0035] The logistics node sorting unit is located at the nodes of the supply chain. It sorts goods entering and leaving the node and reads logistics traceability codes. It then uploads the read logistics traceability codes and node information to the monitoring host. The monitoring host updates the real-time logistics information of the logistics traceability codes to the logistics tracking unit and stores the corresponding logistics traceability codes in the corresponding node traceability storage warehouse. When the logistics node sorting unit is working, it uses a sorting belt to sort logistics items or uses a handheld barcode scanner to sort them. The sorting process needs to be monitored by the node video monitoring equipment throughout. After the barcode scanner on the sorting belt or the handheld barcode scanner scans the logistics traceability code, the barcode scanner reads the logistics traceability code and node information and uploads it to the monitoring host. The barcode scanners are divided into inbound barcode scanners, sorting barcode scanners, outbound barcode scanners, loading sorting barcode scanners, etc. The monitoring host confirms the node information, scanning location information or function information based on the registered barcode scanner number.

[0036] The supply chain traceability module includes an optimal route acquisition unit and a logistics code statistics unit. The logistics code statistics unit is communicatively connected to the traceability code repository. The logistics code statistics unit acquires all logistics traceability codes within a set time period and classifies and statistically analyzes them. It groups logistics traceability codes with the same origin and destination together, generating a temporary logistics circulation repository. The optimal route acquisition unit then acquires the logistics nodes traversed by the optimal route. The optimal route acquisition unit generates the optimal transportation route based on the origin and destination and acquires all logistics nodes traversed by the route. The monitoring host sequentially traces the nodes on the read route, specifically as follows: The monitoring host reads the traceability code data of a certain node on the path, including all logistics traceability codes within a set time period plus a set extension time period. This data is then sent to the matching database. Next, a brute-force matching operation is performed between the temporary logistics distribution warehouse and the matching database to obtain the quantity of items in the temporary logistics distribution warehouse that did not match and their corresponding traceability codes. The percentage of items that did not match is then calculated. When this percentage reaches 5%, a logistics distribution anomaly signal is issued. If a node issues more than three consecutive logistics distribution anomaly signals within a set time period, and these signals are issued by different temporary logistics distribution warehouses after brute-force matching, the monitoring host issues a signal indicating an operational anomaly for that node.

[0037] When the logistics code statistics unit classifies and counts logistics traceability codes, it groups those with the same origin code into one group, those with the same destination code into another group, and those with the same cargo type code into yet another group within a set time period. It then counts the quantity of each group and displays the logistics supply chain status in real time through charts.

[0038] The optimal route includes the route with the shortest transportation distance, the route with the shortest travel time, the route with the shortest highway toll, or the route chosen by the most people.

[0039] like Figure 3 As shown, the logistics code generation unit is connected to an address code library and a goods type library. The logistics information acquisition module synchronously transmits the generated information to the logistics code generation unit. The logistics code generation unit only reads the option data from the logistics information acquisition module, eliminating manually entered data; and obtains the option code corresponding to the option data by querying the address code library and the goods type library.

[0040] During operation, logistics information is entered through the logistics information entry template in the logistics information acquisition module, including information such as recipient, sender, and address. The province, city, county, and town (township) of the address information are selected using optional data, while the specific address is entered manually. The cargo type is also selected using optional data. After the logistics code generation unit obtains the optional data and cargo type data from the logistics information acquisition module, it directly generates a logistics traceability code by querying the address code library and cargo type library. The logistics traceability code is then embedded into the logistics printout and simultaneously uploaded and stored in the traceability code repository.

[0041] like Figure 4 and Figure 5As shown, the logistics tracking unit includes a path tracing module and a logistics detail tracing module. The logistics detail tracing module includes a traceability code input module and a monitoring generation module. The monitoring generation module is connected to a node video management unit, which is connected to a video storage library for storing videos of node sorting and loading / unloading locations. After the logistics detail tracing module is activated, the logistics traceability code is input through the logistics traceability code input module. The logistics tracking unit is then linked to the logistics traceability code to confirm the nodes traversed by the traceability code. The system then accesses the corresponding node storage unit within the node traceability temporary storage warehouse and retrieves the node information traversed by the traceability code through a query. The node information includes the node gun number and reading time node of the logistics traceability code. After obtaining the node information, the logistics detail traceability module sends it to the video management unit of the corresponding node. The video management unit selects the corresponding gun number video storage area in the video repository according to the node gun number, and extracts node video segments according to the reading time node. The time sequence of the node video segments is based on the time node of the node information as the reference time point, with the reference time point as the extraction center line, and extracts a set number of frames forward and backward respectively to obtain a node video segment. The node video segment is automatically named, and the name includes the node name and gun number function. The video management unit packages the video segments of each area inside the node through which the logistics traceability code passes according to the time sequence and sends them to the logistics detail traceability module. After obtaining the video compressed package of all the nodes through which the logistics traceability code passes, the logistics detail traceability module unpacks the compressed package and splices it into a traceability video according to the time sequence. The name of the node video segment is inserted at the beginning of each video segment in the traceability video. The logistics node sorting unit is synchronized with the node video monitoring equipment.

[0042] like Figure 6 and Figure 7As shown, the logistics tracking unit also includes a damage tracing and association module. This module comprises a damage registration unit, a damage storage unit, and an association calculation module. The damage storage unit stores a list of damaged parts, each entry including a logistics traceability code, the nodes traversed by the traceability code, the damage node, the damage location, and the cause of damage. When the damage tracing and association module is working, the logistics traceability code of the damaged part is entered through the damage registration unit. Then, the association calculation module obtains the traceability code, links it to the logistics tracking unit, confirms the nodes traversed by the traceability code, and updates the traceability code and corresponding nodes to the damage storage unit. The association calculation module then... Based on the nodes in the circulation of the logistics traceability code, the damaged parts information list is traversed to query whether there are any overlapping nodes with the logistics traceability code, and a first-level traceability code association database is established. Then, the first-level traceability code association database is traversed to query whether the time period from warehousing to outbound is the same for the logistics traceability code to be associated and the logistics traceability code of the overlapping node. If there are overlapping overlapping nodes, the corresponding logistics traceability code is sent to the second-level traceability code association database. Next, the second-level traceability code association database is traversed to query the damaged nodes of the logistics traceability codes in the second-level traceability code association database. When the damaged node overlaps with one or more overlapping nodes, the association calculation module outputs the overlapping node, the damaged location, and the cause of damage in sequence as the maximum probability of the damaged location of the damaged part to be associated.

[0043] like Figure 8 As shown, when the maximum probability does not match or after the maximum probability match is completed, the second maximum probability match is entered. During the matching process, the association calculation module traverses the damaged nodes in the damaged parts information list according to the nodes through which the logistics traceability code of the damaged parts circulates. When a damaged node matches the node through which the damaged parts circulate, the damaged node and the logistics traceability code are sent to the probability database. The association calculation module performs statistics on the same nodes in the probability database to obtain the proportion of each node. Then, it performs statistics on the damaged locations corresponding to each node to obtain the proportion of each damaged location. Finally, it calculates the probability of a damaged location for a certain node. The probability of a damaged location is obtained by product calculation or superposition calculation. The product calculation is as follows: Probability of damaged location S = First proportional factor * Probability of the node * Second proportional factor * Probability of the damaged location; The superposition calculation is as follows: Probability of damaged location S = First proportional factor * Probability of the node + Second proportional factor * Probability of the damaged location, where the first proportional factor is 60% and the second proportional factor is 40%. The calculated probability of damaged location is sorted from high to low to obtain the second probability of the damaged location of the damaged parts to be associated.

[0044] The logistics tracking unit communicates with the supply chain traceability module, which has a built-in node status traceability unit. The node status traceability unit communicates with the damage storage unit. The node status traceability unit traverses the list of damaged parts information. When the number of damaged nodes, the number of damaged locations, or the number of damaged causes exceed a set value within a set time span, the node status traceability unit issues a risk warning. The node status traceability unit can monitor the logistics flow status of each node or location, that is, monitor whether there is any damage to logistics parts at each node or location.

[0045] The above embodiments are merely preferred embodiments of the present invention. Therefore, all equivalent changes or modifications made to the structure, features and principles described in the claims of the present invention are included within the scope of the present invention.

Claims

1. A traceability and monitoring system suitable for logistics supply chain monitoring, characterized in that: include: The monitoring host for whole-machine control is equipped with a traceability code storage warehouse, a node traceability temporary storage warehouse, a logistics tracking unit and a supply chain traceability module. A logistics information generation unit, comprising a logistics information acquisition module and a logistics code generation unit, wherein the logistics information acquisition module has a built-in logistics information input template; The logistics information acquisition module is communicatively connected to the logistics code generation unit; The logistics code generation unit generates a logistics traceability code, which includes an origin code, a destination code, a cargo type code, and a random code. After the logistics code generation unit obtains the logistics information entered by the logistics information acquisition module, it automatically generates a logistics traceability code; the logistics traceability code is embedded in the logistics printout and simultaneously uploaded and stored in the traceability code repository. The logistics node sorting unit is set at the nodes of the supply chain to sort the goods entering and leaving the node and read the logistics traceability code. The logistics traceability code and node information are uploaded to the monitoring host. The monitoring host updates the real-time logistics information of the logistics traceability code to the logistics tracking unit and stores the corresponding logistics traceability code in the corresponding node traceability temporary storage warehouse. The supply chain traceability module includes an optimal route acquisition unit and a logistics code statistics unit. The logistics code statistics unit is communicatively connected to the traceability code repository. The logistics code statistics unit acquires all logistics traceability codes within a set time period and classifies and statistically analyzes them. It groups logistics traceability codes with the same origin and destination together, generating a temporary logistics circulation repository. The optimal route acquisition unit then acquires the logistics nodes traversed by the optimal route. The optimal route acquisition unit generates the optimal transportation route based on the origin and destination and acquires all logistics nodes traversed by the route. The monitoring host sequentially traces the nodes on the read route, specifically as follows: The monitoring host reads the traceability code data of a certain node on the path, including all logistics traceability codes within a set time period plus a set extension time period. This data is then sent to the matching database. Next, a brute-force matching test is performed between the temporary logistics distribution warehouse and the matching database to obtain the quantity of items in the temporary logistics distribution warehouse that did not match and their corresponding traceability codes. The percentage of items that did not match is then calculated. When this percentage reaches 5%, a logistics distribution abnormality signal is issued. If a node issues more than three consecutive logistics distribution abnormality signals within a set time period, and these signals are issued by different temporary logistics distribution warehouses after brute-force matching, the monitoring host issues a signal indicating that the node is operating abnormally. The logistics tracking unit includes a path tracing module and a logistics detail tracing module. It also includes a damage tracing and association module, which comprises a damage registration unit, a damage storage unit, and an association calculation module. The damage storage unit stores a list of damaged parts, each entry including a logistics traceability code, the nodes traversed by the traceability code, the damage node, the damage location, and the cause of damage. When the damage tracing and association module is working, the logistics traceability code of the damaged part is entered through the damage registration unit. Then, the association calculation module obtains the traceability code, links it to the logistics tracking unit, confirms the nodes traversed by the traceability code, and updates the traceability code and corresponding nodes to the damaged part. The storage unit and the association calculation module, based on the nodes through which the logistics traceability code circulates, traverse the list of damaged parts information, query whether there are any overlapping nodes with the logistics traceability code, and establish a primary traceability code association database. Next, the primary traceability code association database is traversed to query whether the time period from entry to exit of the logistics traceability code to be associated overlaps with that of the logistics traceability code of the overlapping node. If overlapping overlapping nodes exist, the corresponding logistics traceability code is sent to the secondary traceability code association database. Then, the secondary traceability code association database is traversed to query the damaged nodes of the logistics traceability codes within it. When a damaged node overlaps with one or more overlapping nodes, the association calculation module sequentially outputs the overlapping node, the damaged location, and the cause of damage, representing the most likely location of the damaged part to be associated.

2. The traceability and monitoring system for logistics supply chain monitoring according to claim 1, characterized in that: When the logistics code statistics unit classifies and counts logistics traceability codes, it groups those with the same origin code into one group, those with the same destination code into another group, and those with the same cargo type code into yet another group within a set time period. It then counts the quantity of each group and displays the logistics supply chain status in real time through charts.

3. The traceability and monitoring system for logistics supply chain monitoring according to claim 1, characterized in that: The optimal route includes the route with the shortest transportation distance, the route with the shortest travel time, the route with the shortest highway toll, or the route chosen by the most people.

4. The traceability and monitoring system for logistics supply chain monitoring according to claim 1, characterized in that: The logistics code generation unit is connected to an address code library and a goods type library. The logistics information acquisition module synchronously transmits the generated information to the logistics code generation unit. The logistics code generation unit only reads the option data from the logistics information acquisition module and discards manually entered data. It also obtains the option code corresponding to the option data by querying the address code library and the goods type library.

5. The traceability and monitoring system for logistics supply chain monitoring according to claim 1, characterized in that: The logistics detail traceability module includes a traceability code input module and a monitoring generation module. The monitoring generation module is connected to the node video management unit, and the node video management unit is connected to a video repository for storing videos of node sorting and loading / unloading locations. After the logistics detail traceability module is activated, the logistics traceability code is entered through the logistics traceability code entry module. The logistics traceability code is then linked to the logistics tracking unit to confirm the nodes traversed by the code. Next, the system accesses the corresponding node storage unit within the node traceability warehouse and retrieves the node information traversed by the logistics traceability code through a query. The node information includes the node gun number and reading time node of the logistics traceability code. After obtaining the node information, the logistics detail traceability module sends it to the video management unit of the corresponding node. The video management unit selects the corresponding gun number video storage area in the video repository according to the node gun number, and extracts node video segments according to the reading time node. The time sequence of the node video segments is based on the time node of the node information as the reference time point, with the reference time point as the extraction center line, and extracts a set number of frames forward and backward respectively to obtain a node video segment. The node video segment is automatically named, and the name includes the node name and gun number function. The video management unit packages the video segments of each area inside the node through which the logistics traceability code passes according to the time sequence and sends them to the logistics detail traceability module. After obtaining the video compressed package of all the nodes through which the logistics traceability code passes, the logistics detail traceability module unpacks the compressed package and splices it into a traceability video according to the time sequence. The name of the node video segment is inserted at the beginning of each video segment in the traceability video.

6. The traceability and monitoring system for logistics supply chain monitoring according to claim 5, characterized in that: The sorting unit at the logistics node is synchronized with the node video monitoring equipment in time.

7. The traceability and monitoring system for logistics supply chain monitoring according to claim 1, characterized in that: When the maximum probability match fails or is completed, the second maximum probability match begins. During matching, the association calculation module iterates through the damaged nodes in the damaged parts information list based on the nodes through which the damaged parts' logistics traceability codes circulate. When a damaged node matches a node through which the damaged parts circulate, the damaged node and its logistics traceability code are sent to the probability database. The association calculation module then statistically analyzes the identical nodes in the probability database to obtain the proportion of each node. Next, it statistically analyzes the damaged locations corresponding to each node to obtain the proportion of each damaged location. Finally, it calculates the probability of a damaged location for a given node. The probability of a damaged location is obtained through either product calculation or summation calculation. The product calculation is as follows: Probability of damaged location S = First proportional factor * Probability of the node * Second proportional factor * Probability of the damaged location; The summation calculation is as follows: Probability of damaged location S = First proportional factor * Probability of the node + Second proportional factor * Probability of the damaged location, where the first proportional factor is 60% and the second proportional factor is 40%. The calculated probability of damaged locations is then sorted from high to low to obtain the second probability of the damaged location of the damaged parts to be associated.

8. The traceability and monitoring system for logistics supply chain monitoring according to claim 1, characterized in that: The logistics tracking unit communicates with the supply chain traceability module. The supply chain traceability module has a built-in node status traceability unit. The node status traceability unit communicates with the damage storage unit. The node status traceability unit traverses the list of damaged parts. When the number of damaged nodes, the number of damaged locations, or the number of damaged causes exceed the set value within a set time span, the node status traceability unit issues a risk warning.

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