Transportation logistics information management method
By adopting relay chain technology in logistics information management, real-time transmission and synchronization of cargo information data is achieved, the problems of high data transmission delay and many errors in the existing logistics information management methods are solved, the cargo tracking efficiency and logistics cost control are improved, and the overall efficiency and security of the logistics system are comprehensively improved.
Patent Information
- Application Number
- CN202411815406.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-11
- Publication Date
- 2025-04-15
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing logistics information management methods have problems such as high data transmission delay, many errors, high redundancy costs and inaccurate efficiency assessment, resulting in low cargo tracking efficiency, insufficient information real-time, increased costs and reduced system efficiency.
In logistics information management, the real-time transmission and synchronization of cargo information data is achieved through the data collection and preprocessing module, and the monitoring and early warning module is used to record the data transmission delay and error number. If an early warning is triggered, the transportation will be terminated and resorted. At the same time, the comprehensive data management module is used to calculate the cargo tracking efficiency index, logistics cost control index and overall logistics efficiency evaluation index to evaluate and optimize the logistics system.
Through the application of relay chain technology, real-time communication and synchronization of logistics data is achieved, data transmission delay and errors are reduced, the accuracy and efficiency of cargo tracking are improved, logistics cost control is optimized, and the overall efficiency and security of the logistics system are comprehensively improved.
Smart Images

Figure CN119831468A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of transportation logistics information management, and in particular to a transportation logistics information management method. Background Art
[0002] With the rapid development of the logistics industry, the requirements for logistics information management are becoming increasingly higher. Traditional logistics information management methods often rely on manual operations, with problems such as high number of operations, high error rates, and high costs. In order to solve these problems, people have begun to explore the use of modern information technology, such as automation, intelligent technology, and advanced blockchain technology, to optimize the logistics information management process and improve the overall efficiency and security of the logistics system.
[0003] In the existing logistics information management methods, due to the limitations of data transmission technology, there are often problems such as high data transmission delay and a large number of errors in the transmission process, which leads to low efficiency in cargo tracking and insufficient real-time information, bringing difficulties to the management and decision-making of the logistics system. In addition, due to the imperfections in logistics processes and management systems, as well as the many errors and repeated operations in manual operations, not only the monitoring and early warning efficiency cannot be fed back in a timely manner, but also high redundant costs, which increase logistics costs and reduce the overall efficiency of the logistics system. In addition, the existing logistics efficiency evaluation methods often only consider a single factor or a few factors, lack comprehensiveness and accuracy, which leads to the evaluation results being unable to truly reflect the overall efficiency level of the logistics system, bringing difficulties to the optimization and improvement of the logistics system. Summary of the invention
[0004] The purpose of the present invention is to provide a transportation logistics information management method to solve the problems raised in the above-mentioned background technology.
[0005] To achieve the above objectives, the present invention provides the following technical solutions, and the specific implementation steps of the transportation logistics information management method of the blockchain including the relay chain are as follows: Step 1: Use the data collection and preprocessing module to collect cargo information data, including cargo ID, quantity, shipping place, and receiving place; Input the collected cargo information data into the logistics information system for pre-processing; In this process, relay chain technology is used to achieve real-time transmission and synchronization of data between different logistics links; Step 2: Use the monitoring and early warning module to monitor the data transmission process and record the data transmission delay; At the same time, the number of transmission errors CC and the number of repeated operations FC are monitored. If the number of transmission errors CC and the number of repeated operations FC trigger an early warning, the transportation of the goods will be terminated and re-sorted; Step 3: Based on the number of transmission errors CC and repeated operations FC that did not trigger the warning, and using the data comprehensive management module, the computer outputs the cargo tracking efficiency index HZX, the logistics cost control index WK and the overall logistics efficiency evaluation index ZTX; According to the overall logistics efficiency evaluation index ZTX, the overall efficiency of the logistics system is evaluated and improvement measures are taken; Among them, the data comprehensive management module includes a unit for evaluating the efficiency of logistics cargo tracking, a unit for the performance of the logistics system in cost control, and a unit for comprehensively evaluating the logistics efficiency.
[0006] Optionally, the equipment used in the data collection and preprocessing module includes a barcode scanner, an RFID reader, and a repeater; The equipment used in the monitoring and early warning module includes cameras and sensors; The equipment used by the data integrated management module includes servers and storage devices.
[0007] Optionally, the transmission error count CC and the repeated operation count FC are based on the storage data of the same type of cargo transportation stored in the storage device, and the maximum transmission error count CC of the same type of cargo transportation is extracted therefrom. max and the maximum number of repeated operations FC max ; The conditions under which the number of transmission errors CC and the number of repeated operations FC trigger an early warning and terminate the cargo transportation: The number of transmission errors CC is greater than the maximum number of transmission errors CC max ; The number of repeated operations FC is greater than the maximum number of repeated operations FC max ; If any one / both of the above two conditions are met, the cargo transportation will be terminated and re-sorted.
[0008] Optionally, the calculation formula for evaluating the logistics cargo tracking efficiency unit is as follows: ; SY = T2 - T1; in: HZX is the cargo tracking efficiency index; ZC is the number of operations, including the total number of scan, input, and update operations; SY is the transmission delay index, which reflects the time difference of data transmission from the source to the terminal of cargo information; T2 is the arrival time at the terminal, and T1 is the transmission time from the source; CC is the number of transmission errors, which reflects the number of errors during the transmission process; FC is the number of repeated operations, including repeated scanning and repeated entry; The calculation formula for evaluating the logistics cargo tracking efficiency unit is as follows: The cargo tracking efficiency index HZX is calculated by multiplying the number of operations ZC and the transmission delay index SY by the square root of the sum of the number of transmission errors CC and the number of repeated operations FC. The cargo tracking efficiency index HZX reflects the efficiency and ability of the logistics system in tracking cargo information.
[0009] Optionally, the calculation formula of the performance unit of the logistics system in terms of cost control is as follows: ; in: WK is the logistics cost control index; CB is the total cost; EB is the redundancy cost; The calculation formula of the performance unit of the logistics system in cost control is as follows: The logistics cost control index WK is calculated by multiplying the cargo tracking efficiency index HZX by the total cost CB minus the redundant cost EB, minus the number of operations ZC, and finally dividing it by the square root of the sum of the total cost CB and the redundant cost EB. The logistics cost control index WK reflects the ability and efficiency of the logistics system in controlling costs.
[0010] Optionally, the calculation formula of the total cost CB is as follows: CB=Y+C+G; Y is the transportation cost; C is the storage fee; G is the management fee; The calculation formula of the redundancy cost EB is as follows: EB=F+Z; F is the duplicate fee; Z is the cost of erroneous operation; Among them, the repeated cost F and the incorrect operation cost Z represent the additional costs caused by repeated operations and incorrect operations, and are directly related to the number of transmission errors CC and the number of repeated operations FC in the logistics cargo tracking efficiency evaluation unit. Due to the number of transmission errors CC and the number of repeated operations FC, additional costs of repeated cost F and incorrect operation cost Z are generated.
[0011] Optionally, the calculation formula for the comprehensive evaluation of logistics efficiency unit is as follows: ; ZX = (CGC / ZC) × 100%; in: ZTX is the overall logistics efficiency evaluation index; ZX stands for execution efficiency, which reflects the speed and accuracy of logistics operations including sorting and loading and unloading; CC new is the number of new transmission errors, CC new Reflects the number of errors after improvement measures are taken based on the overall logistics efficiency evaluation index ZTX of the previous cycle; CGC is the number of successful operations; The calculation formula for the comprehensive evaluation of logistics efficiency unit is as follows: The overall logistics efficiency evaluation index ZTX uses the product of the logistics cost control index WK and the execution efficiency ZX, and then subtracts the number of new transmission errors CC new The square root of the index is finally divided by the sum of the cargo tracking efficiency index HZX and the execution efficiency ZX to calculate the output. The overall logistics efficiency evaluation index ZTX reflects the performance and capabilities of the logistics system in terms of overall efficiency.
[0012] Optionally, the analysis and management based on the overall logistics efficiency evaluation index ZTX is as follows: Extract the overall logistics efficiency evaluation index ZTX of the previous period of transportation of the same type of goods as the overall logistics efficiency evaluation index ZTX from the storage device prev ; If the overall logistics efficiency evaluation index ZTX is higher than the overall logistics efficiency evaluation index ZTX of the previous period prev , it means that the logistics system has improved in terms of overall efficiency and the current efficiency should be maintained; If the overall logistics efficiency evaluation index ZTX is lower than the overall logistics efficiency evaluation index ZTX of the previous period prev , it means that there are problems in some aspects of the logistics system and improvement measures should be taken according to the problems.
[0013] Optionally, the improvement measures are as follows: Introduce automation and intelligent technology to reduce the number of manual operations; Strengthen the monitoring and early warning functions of the logistics information system to promptly detect and correct erroneous operations; Provide training and assessment for logistics personnel; Optimize logistics processes and management systems to reduce redundant operations and errors; The above measures will reduce the result value of the number of transmission errors CC and the number of repeated operations FC in the next cycle.
[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention sets upper limits for the number of transmission errors CC and the number of repeated operations FC, and is equipped with corresponding sensors, alarm systems, surveillance cameras and other equipment, so that the logistics tracking and monitoring system can achieve an efficient, accurate and safe logistics process. This mechanism not only improves logistics efficiency, but also optimizes resource utilization, enhances cargo safety and improves customer satisfaction.
[0015] 2. The cargo tracking efficiency index HZX calculated by the logistics cargo tracking efficiency evaluation unit in the present invention can intuitively reflect the efficiency and ability of the logistics system in tracking cargo information. In combination with the relay chain technology, it can also realize real-time communication and synchronization of data, reduce data transmission delays, and reduce the number of transmission errors CC and repeated operations FC during the transmission process, thereby improving the accuracy and efficiency of cargo tracking.
[0016] 3. The logistics system in the present invention performs well in cost control. The logistics cost control index WK in the unit comprehensively considers the factors of cargo tracking efficiency index HZX, total cost CB and redundant cost EB, providing a scientific evaluation basis for logistics cost control. It also reduces redundant operations and erroneous operations by optimizing logistics processes and management systems, thereby reducing redundant costs EB and improving the logistics cost control index WK, thereby reducing overall logistics costs.
[0017] 4. The comprehensive logistics efficiency evaluation unit in the present invention can comprehensively reflect the overall efficiency performance of the logistics system by calculating the overall logistics efficiency evaluation ZTX, specifically by comparing the current overall logistics efficiency evaluation index ZTX with the previous period's overall logistics efficiency evaluation index ZTX prev , and then be able to evaluate the effectiveness of improvement measures and further optimize the logistics system. In addition, combining automation, intelligent technology and relay chain technology can reduce the number of operations ZC, improve execution efficiency ZX, and reduce the number of new transmission errors CC new , thereby improving overall logistics efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 A method flow chart of the transportation logistics information management method; Figure 2 A schematic diagram of the conditions for triggering early warning intervention of the present invention; Figure 3 A schematic diagram of a loop feedback of the present invention that does not trigger an early warning; Figure 4 It is a schematic diagram of the improvement measures of the present invention. DETAILED DESCRIPTION
[0019] 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.
[0020] Regarding this transportation logistics information management method, it is different from the existing logistics information management method. The existing logistics information management method has high data transmission delay and error rate, and cannot perform timely early warning processing, resulting in high redundant costs and inaccurate overall logistics efficiency evaluation. This algorithm unit uses the application of relay chain technology in logistics information management to provide strong support for the respective beneficial effects of the logistics cargo tracking efficiency evaluation unit, the logistics system performance in cost control unit and the comprehensive logistics efficiency evaluation unit, as well as the circular feedback of the comprehensive logistics efficiency evaluation unit to the logistics cargo tracking efficiency evaluation unit. Specifically, through efficient and accurate logistics tracking and monitoring systems, optimization of data transmission paths, reduction of transmission delays, and improvement of data accuracy and real-time measures, the relay chain technology helps to improve the overall efficiency of the logistics system and reduce logistics costs.
[0021] For example, see Figures 1 to 4 This implementation provides a method for managing transportation and logistics information. The specific implementation steps of the method for managing transportation and logistics information of the blockchain including the relay chain are as follows: Step 1: Use the data collection and preprocessing module to collect cargo information data, including cargo ID, quantity, shipping place, and receiving place; Input the collected cargo information data into the logistics information system for pre-processing; In this process, relay chain technology is used to achieve real-time transmission and synchronization of data between different logistics links; Step 2: Use the monitoring and early warning module to monitor the data transmission process and record the data transmission delay; At the same time, the number of transmission errors CC and the number of repeated operations FC are monitored. If the number of transmission errors CC and the number of repeated operations FC trigger an early warning, the transportation of the goods will be terminated and re-sorted; Step 3: Based on the number of transmission errors CC and repeated operations FC that did not trigger the warning, and using the data comprehensive management module, the computer outputs the cargo tracking efficiency index HZX, the logistics cost control index WK and the overall logistics efficiency evaluation index ZTX; According to the overall logistics efficiency evaluation index ZTX, the overall efficiency of the logistics system is evaluated and improvement measures are taken; The data comprehensive management module includes a unit for evaluating the efficiency of logistics cargo tracking, a unit for the performance of the logistics system in cost control, and a unit for comprehensively evaluating logistics efficiency. The equipment used in the data collection and preprocessing module includes barcode scanners, RFID readers, and repeaters; The equipment used in the monitoring and early warning module includes cameras and sensors; The equipment used in the data integrated management module includes servers and storage devices.
[0022] In this embodiment, the system cooperates with each other through three algorithm units, each of which has different calculation purposes in the logistics information management method, and together constitutes a comprehensive evaluation system for the efficiency and cost control of the logistics system. Combining the three operation results of HZX, WK and ZTX, by introducing relay chain technology, optimizing logistics cost control and building a comprehensive logistics efficiency evaluation system, the overall efficiency and safety of the logistics system are effectively improved. HZX is the cargo tracking efficiency index, which can accurately evaluate the efficiency level of the logistics system in cargo tracking, and provide a basis for optimizing the logistics process and improving the accuracy of cargo tracking. WK is the logistics cost control index, which can accurately evaluate the effect of the logistics system in cost control, and provide a basis for optimizing logistics costs and improving economic benefits. ZTX is the overall logistics efficiency evaluation index, which can comprehensively reflect the performance of the logistics system in terms of overall efficiency, and then understand the efficiency level of the logistics system in various aspects, and provide a basis for optimizing the logistics process and improving the overall efficiency. The calculation results of ZTX and WK can also affect the calculation fed back to HZX, thereby constructing an efficient, accurate and safe transportation logistics information management system, and also improving the overall efficiency and safety of the logistics system.
[0023] See also Figures 1 to 4 The number of transmission errors CC and the number of repeated operations FC are based on the storage data of the same type of cargo transportation stored in the storage device, and the maximum number of transmission errors CC of the same type of cargo transportation is extracted from it. max and the maximum number of repeated operations FC max ; The conditions under which the number of transmission errors CC and the number of repeated operations FC trigger an early warning and terminate the cargo transportation: The number of transmission errors CC is greater than the maximum number of transmission errors CC max ; The number of repeated operations FC is greater than the maximum number of repeated operations FC max ; If any one / both of the above two conditions are met, the cargo transportation will be terminated and re-sorted.
[0024] In this embodiment: First, in the logistics tracking and monitoring system, if the maximum value of the previous transmission error number CC and the repeated operation number FC is taken, that is, the maximum transmission error number CC max and the maximum number of repeated operations FC max As an upper limit, when the sensor senses that the current number of transmission errors CC and the number of repeated operations FC exceed this upper limit, the system will sound an alarm and intervene to terminate; When a certain cargo is being tracked and monitored, its transmission error count CC reaches the maximum transmission error count CC. max When the error occurs, the system will trigger an alarm mechanism to notify relevant personnel to conduct inspection and processing, and the system will suspend further tracking and monitoring of the goods until the error is corrected and the goods are sorted again; When a certain cargo is in the process of transportation, due to various reasons including tag damage and reading error, the number of repeated operations FC reaches the maximum number of repeated operations FC. max The system will also trigger an alarm; similar to when the number of transmission errors CC reaches the maximum number of transmission errors CC max If the system fails to process the goods, it will suspend further operations on the goods and wait for manual intervention; In this embodiment, the maximum number of transmission errors CC is set. max and the maximum number of repeated operations FC max As an upper limit, real-time monitoring and intervention can effectively reduce logistics delays caused by errors and repeated operations, and the system can quickly identify and correct problems, thereby restoring the normal operation of the logistics process and improving overall logistics efficiency; Reducing unnecessary repeated operations and error handling can reduce the waste of manpower, material and financial resources. The system can also allocate resources more reasonably to ensure the smooth progress of the logistics process; Timely error identification and intervention can reduce the risk of damage and loss of goods during transportation. The system can also ensure the accuracy and completeness of cargo information and improve cargo safety; By improving logistics efficiency and accuracy, the delivery time of goods can be shortened.
[0025] See also Figures 1 to 4 , the calculation formula for evaluating the logistics cargo tracking efficiency unit is as follows: ; SY = T2 - T1; in: HZX is the cargo tracking efficiency index; ZC is the number of operations, including the total number of scan, input, and update operations; SY is the transmission delay index, which reflects the time difference of data transmission from the source to the terminal of cargo information; T2 is the arrival time at the terminal, and T1 is the transmission time from the source; CC is the number of transmission errors, which reflects the number of errors during the transmission process; FC is the number of repeated operations, including repeated scanning and repeated entry; The calculation formula for evaluating the efficiency of logistics cargo tracking units is as follows: The cargo tracking efficiency index HZX is calculated by multiplying the number of operations ZC and the transmission delay index SY by the square root of the sum of the number of transmission errors CC and the number of repeated operations FC. The cargo tracking efficiency index HZX reflects the efficiency and ability of the logistics system in tracking cargo information.
[0026] In this embodiment: first, the number of operations ZC in this algorithm unit reflects the workload and operation frequency of the logistics system. The smaller the value of the transmission delay index SY, the higher the real-time nature of the information. The number of transmission errors CC reflects the accuracy and stability of the logistics system. The larger the value of the number of repeated operations FC, the lower the efficiency of the logistics system. The square root in the formula is used to smooth the data to make the result more stable. The purpose of this formula is to give a comprehensive cargo tracking efficiency index HZX based on comprehensive consideration of the operation frequency, information real-time nature, accuracy and efficiency. This embodiment can intuitively reflect the efficiency and ability of the logistics system in tracking cargo information by evaluating the logistics cargo tracking efficiency unit. When the number of operations ZC decreases, the transmission delay index SY decreases, the number of transmission errors CC and the number of repeated operations FC decrease, the cargo tracking efficiency index HZX will increase accordingly, indicating that the accuracy and efficiency of cargo tracking have been improved; The calculation results of the cargo tracking efficiency index HZX can serve as an important basis for optimizing the logistics process. By comparing the cargo tracking efficiency index HZX in different logistics links and different time periods, the key factors affecting the cargo tracking efficiency can be found out, and then corresponding optimization measures can be taken, such as introducing automation and intelligent technology, strengthening monitoring and early warning functions, so as to improve the overall logistics efficiency.
[0027] See also Figures 1 to 4 , the calculation formula of the performance unit of the logistics system in cost control is as follows: ; in: WK is the logistics cost control index; CB is the total cost; EB is the redundancy cost; The calculation formula of the performance unit of the logistics system in cost control is as follows: The logistics cost control index WK is calculated by multiplying the cargo tracking efficiency index HZX by the total cost CB minus the redundant cost EB, then subtracting the number of operations ZC, and finally dividing it by the square root of the sum of the total cost CB and the redundant cost EB. The logistics cost control index WK reflects the ability and efficiency of the logistics system in controlling costs. The total cost CB is calculated as follows: CB=Y+C+G; Y is the transportation cost; C is the storage fee; G is the management fee; The calculation formula of redundancy cost EB is as follows: EB=F+Z; F is the duplicate fee; Z is the cost of erroneous operation; Among them, the repeated cost F and the incorrect operation cost Z represent the additional costs caused by repeated operations and incorrect operations, and are directly related to the number of transmission errors CC and the number of repeated operations FC in the logistics cargo tracking efficiency evaluation unit. Due to the number of transmission errors CC and the number of repeated operations FC, additional costs of repeated cost F and incorrect operation cost Z are generated.
[0028] In this embodiment, first, the total cost CB reflects the economy and cost-effectiveness of the logistics system. The larger the value of the redundant cost EB is, the weaker the cost control ability of the logistics system is. This algorithm unit reflects the performance of the logistics system in cost control through the calculation results of the logistics cost control index WK. By optimizing the logistics process and reducing redundant operations and erroneous operations, it can reduce the redundant cost EB, thereby improving the logistics cost control index WK value and achieving a reduction in logistics costs. The reduction of logistics costs means the improvement of logistics benefits. The logistics cost control index WK is an important indicator for evaluating the effect of logistics cost control. It is worth noting that due to the relay chain technology, the cargo tracking efficiency index HZX is improved, so that the location and status of the cargo can be more accurately grasped, reducing the additional costs caused by information asymmetry, which further enhances the benefits of the logistics cost control index WK, and helps to achieve effective control of logistics costs. By reducing logistics costs and improving resource utilization efficiency, relay chain technology helps to promote the sustainable development of logistics.
[0029] See also Figures 1 to 4 , the calculation formula for comprehensively evaluating the logistics efficiency unit is as follows: ; ZX = (CGC / ZC) × 100%; in: ZTX is the overall logistics efficiency evaluation index; ZX stands for execution efficiency, which reflects the speed and accuracy of logistics operations including sorting and loading and unloading; CGC is the number of successful operations; CC new is the number of new transmission errors, CC new Reflects the number of errors after improvement measures are taken based on the overall logistics efficiency evaluation index ZTX of the previous cycle; The calculation formula for the comprehensive evaluation of logistics efficiency unit is as follows: The overall logistics efficiency evaluation index ZTX uses the product of the logistics cost control index WK and the execution efficiency ZX, and then subtracts the number of new transmission errors CC new The square root of the index is finally divided by the sum of the cargo tracking efficiency index HZX and the execution efficiency ZX to calculate the output. The overall logistics efficiency evaluation index ZTX reflects the performance and capabilities of the logistics system in terms of overall efficiency.
[0030] In this embodiment, the algorithm unit uses the overall logistics efficiency evaluation index ZTX as the evaluation index of the overall logistics efficiency, comprehensively considers multiple factors, and can comprehensively reflect the efficiency level of the logistics system. By comparing the overall logistics efficiency evaluation index ZTX of the previous cycle of the same type of cargo transportation prev and the overall logistics efficiency evaluation index ZTX value, which can evaluate the effectiveness of logistics system improvement measures and provide a basis for further optimization; The calculation result of the overall logistics efficiency evaluation index ZTX can serve as an important reference for the optimization of the logistics system. By analyzing the changing trend and influencing factors of the overall logistics efficiency evaluation index ZTX value, the bottlenecks and problems in the logistics system can be found, and then corresponding optimization measures can be taken, such as introducing new technologies and optimizing management processes, to improve the overall logistics efficiency. It is worth mentioning that the relay chain technology provides real-time and accurate data support, so that the overall logistics efficiency evaluation index ZTX can more comprehensively reflect the efficiency level of the logistics system, which helps logistics companies to understand their own operating conditions more accurately and provide strong support for optimizing decisions. Through the real-time synchronization and communication of data achieved by the relay chain technology, logistics companies can more quickly discover and solve problems in the logistics system, which helps to promote the optimization of the logistics system and improve the overall logistics efficiency. The application of relay chain technology enables logistics companies to process various logistics information more efficiently and improve service quality, which helps to enhance the market competitiveness of logistics companies and enable them to stand out in the fierce market competition.
[0031] For example 2, please refer to Figures 1 to 4 , based on the analysis and management of the overall logistics efficiency evaluation index ZTX is as follows: Extract the overall logistics efficiency evaluation index ZTX of the previous period of transportation of the same type of goods as the overall logistics efficiency evaluation index ZTX from the storage device prev ; If the overall logistics efficiency evaluation index ZTX is higher than the overall logistics efficiency evaluation index ZTX of the previous period prev , it means that the logistics system has improved in terms of overall efficiency and the current efficiency should be maintained; If the overall logistics efficiency evaluation index ZTX is lower than the overall logistics efficiency evaluation index ZTX of the previous period prev , it means that there are problems in some aspects of the logistics system and improvement measures should be taken according to the problems.
[0032] In this embodiment, the use of relay chain technology provides real-time and accurate data support for transportation logistics information management, so that the comprehensive evaluation of logistics efficiency unit can provide real-time feedback on the efficiency status of the logistics system. When the overall logistics efficiency evaluation index ZTX value is low, logistics companies can quickly identify problems and take optimization measures. These optimization measures will in turn affect the parameters in the evaluation of logistics cargo tracking efficiency unit, thus forming a virtuous circle. Through the real-time feedback and optimization mechanism of relay chain technology, logistics companies can continuously improve logistics processes and management systems, which helps to improve overall logistics efficiency and reduce logistics costs; Specifically, in this embodiment, by comparing the overall logistics efficiency evaluation index ZTX with the previous one, the logistics enterprise can intuitively understand the changes in the overall efficiency of the logistics system, which helps the enterprise to promptly discover the trend of declining efficiency and take corresponding measures to improve it, thereby improving logistics efficiency; The feedback mechanism of the overall logistics efficiency evaluation index ZTX can help enterprises understand which links and operations have the greatest impact on overall efficiency. Based on this information, enterprises can more reasonably allocate resources, such as human, material and financial resources, to improve resource utilization efficiency; The overall logistics efficiency evaluation index ZTX is an evaluation indicator of overall logistics efficiency. Its feedback results can provide a scientific basis for the decision-making of enterprises. Enterprises can formulate logistics strategies and development plans that are more in line with the actual situation according to the changing trends and influencing factors of the overall logistics efficiency evaluation index ZTX. The feedback mechanism of the overall logistics efficiency evaluation index ZTX is a process of continuous improvement. By constantly comparing and analyzing the changes in the overall logistics efficiency evaluation index ZTX, enterprises can discover problems and deficiencies in the logistics system and take corresponding optimization measures. This continuous improvement mechanism helps to promote the continuous optimization and improvement of the logistics system.
[0033] See also Figures 1 to 4 , the improvement measures are as follows: Introduce automation and intelligent technology to reduce the number of manual operations; Strengthen the monitoring and early warning functions of the logistics information system to promptly detect and correct erroneous operations; Provide training and assessment for logistics personnel; Optimize logistics processes and management systems to reduce redundant operations and errors; The above measures will reduce the result value of the number of transmission errors CC and the number of repeated operations FC in the next cycle.
[0034] In this embodiment, by introducing automation and intelligent technology, the number of manual operations is reduced, which can not only reduce labor costs, but also improve operational efficiency and accuracy, which helps to reduce errors and delays caused by human factors, improve logistics efficiency, strengthen the monitoring and early warning functions of the logistics information system, and promptly discover and correct erroneous operations, which can significantly reduce the number of errors, which helps to reduce logistics delays and cost increases caused by erroneous operations. Training and assessment of logistics personnel can help reduce operational errors and violations, which can improve logistics efficiency, optimize logistics processes and management systems, and reduce the possibility of redundant operations and errors, which helps to reduce logistics costs and improve overall logistics efficiency. At the same time, the optimized logistics processes and management systems can also improve operational efficiency; In summary, the feedback mechanism and optimization measures of the overall logistics efficiency evaluation index ZTX have brought many beneficial effects to logistics companies. These effects not only improve logistics efficiency, but also optimize resource allocation, enhance scientific decision-making, and promote continuous improvement.
[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A method for managing transportation logistics information, characterized in that: The specific implementation steps of the transportation logistics information management method of the blockchain including the relay chain are as follows: Step 1: Use the data collection and preprocessing module to collect cargo information data, including cargo ID, quantity, shipping place, and receiving place; Input the collected cargo information data into the logistics information system for pre-processing; In this process, relay chain technology is used to achieve real-time transmission and synchronization of data between different logistics links; Step 2: Use the monitoring and early warning module to monitor the data transmission process and record the data transmission delay; At the same time, the number of transmission errors CC and the number of repeated operations FC are monitored. If the number of transmission errors CC and the number of repeated operations FC trigger an early warning, the transportation of the goods will be terminated and re-sorted; Step 3: Based on the number of transmission errors CC and repeated operations FC that did not trigger the warning, and using the data comprehensive management module, the computer outputs the cargo tracking efficiency index HZX, the logistics cost control index WK and the overall logistics efficiency evaluation index ZTX; According to the overall logistics efficiency evaluation index ZTX, the overall efficiency of the logistics system is evaluated and improvement measures are taken; Among them, the data comprehensive management module includes a unit for evaluating the efficiency of logistics cargo tracking, a unit for the performance of the logistics system in cost control, and a unit for comprehensively evaluating the logistics efficiency.
2. The method for managing transportation logistics information according to claim 1, characterized in that: The equipment used in the data collection and preprocessing module includes a barcode scanner, an RFID reader, and a repeater; The equipment used in the monitoring and early warning module includes cameras and sensors; The equipment used by the data integrated management module includes servers and storage devices.
3. The method for managing transportation logistics information according to claim 2, characterized in that: The transmission error count CC and the repeated operation count FC are based on the storage data of the same type of cargo transportation stored in the storage device, and the maximum transmission error count CC of the same type of cargo transportation is extracted therefrom. max and the maximum number of repeated operations FC max ; The conditions under which the number of transmission errors CC and the number of repeated operations FC trigger an early warning and terminate the cargo transportation: The number of transmission errors CC is greater than the maximum number of transmission errors CC max ; The number of repeated operations FC is greater than the maximum number of repeated operations FC max ; If any one / both of the above two conditions are met, the cargo transportation will be terminated and re-sorted.
4. The method for managing transportation logistics information according to claim 3, characterized in that: The calculation formula for evaluating the logistics cargo tracking efficiency unit is as follows: ; SY = T2 - T1; in: HZX is the cargo tracking efficiency index; ZC is the number of operations, including the total number of scan, input, and update operations; SY is the transmission delay index, which reflects the time difference of data transmission from the source to the terminal of cargo information; T2 is the arrival time at the terminal, and T1 is the transmission time from the source; CC is the number of transmission errors, which reflects the number of errors during the transmission process; FC is the number of repeated operations, including repeated scanning and repeated entry; The calculation formula for evaluating the logistics cargo tracking efficiency unit is as follows: The cargo tracking efficiency index HZX is calculated by multiplying the number of operations ZC and the transmission delay index SY by the square root of the sum of the number of transmission errors CC and the number of repeated operations FC. The cargo tracking efficiency index HZX reflects the efficiency and ability of the logistics system in tracking cargo information.
5. The method for managing transportation logistics information according to claim 4, characterized in that: The calculation formula of the performance unit of the logistics system in cost control is as follows: ; in: WK is the logistics cost control index; CB is the total cost; EB is the redundancy cost; The calculation formula of the performance unit of the logistics system in cost control is as follows: The logistics cost control index WK is calculated by multiplying the cargo tracking efficiency index HZX by the total cost CB minus the redundant cost EB, minus the number of operations ZC, and finally dividing it by the square root of the sum of the total cost CB and the redundant cost EB. The logistics cost control index WK reflects the ability and efficiency of the logistics system in controlling costs.
6. The method for managing transportation logistics information according to claim 5, characterized in that: The calculation formula of the total cost CB is as follows: CB=Y+C+G; Y is the transportation cost; C is the storage fee; G is the management fee; The calculation formula of the redundancy cost EB is as follows: EB=F+Z; F is the duplicate fee; Z is the cost of erroneous operation; Among them, the repeated cost F and the incorrect operation cost Z represent the additional costs caused by repeated operations and incorrect operations, and are directly related to the number of transmission errors CC and the number of repeated operations FC in the logistics cargo tracking efficiency evaluation unit. Due to the number of transmission errors CC and the number of repeated operations FC, additional costs of repeated cost F and incorrect operation cost Z are generated.
7. The method for managing transportation logistics information according to claim 6, characterized in that: The calculation formula for the comprehensive evaluation of logistics efficiency unit is as follows: ; ZX = (CGC / ZC) × 100%; in: ZTX is the overall logistics efficiency evaluation index; ZX stands for execution efficiency, which reflects the speed and accuracy of logistics operations including sorting and loading and unloading; CGC is the number of successful operations; CC new is the number of new transmission errors, CC new Reflects the number of errors after improvement measures are taken based on the overall logistics efficiency evaluation index ZTX of the previous cycle; The calculation formula for the comprehensive evaluation of logistics efficiency unit is as follows: The overall logistics efficiency evaluation index ZTX uses the product of the logistics cost control index WK and the execution efficiency ZX, and then subtracts the number of new transmission errors CC new The square root of the index is finally divided by the sum of the cargo tracking efficiency index HZX and the execution efficiency ZX to calculate the output. The overall logistics efficiency evaluation index ZTX reflects the performance and capabilities of the logistics system in terms of overall efficiency.
8. The method for managing transportation logistics information according to claim 7, characterized in that: The analysis and management based on the overall logistics efficiency evaluation index ZTX is as follows: Extract the overall logistics efficiency evaluation index ZTX of the previous period of transportation of the same type of goods as the overall logistics efficiency evaluation index ZTX from the storage device prev ; If the overall logistics efficiency evaluation index ZTX is higher than the overall logistics efficiency evaluation index ZTX of the previous period prev , it means that the logistics system has improved in terms of overall efficiency and the current efficiency should be maintained; If the overall logistics efficiency evaluation index ZTX is lower than the overall logistics efficiency evaluation index ZTX of the previous period prev , it means that there are problems in some aspects of the logistics system and improvement measures should be taken.
9. The method for managing transportation logistics information according to claim 8, characterized in that: The improvement measures are as follows: Introduce automation and intelligent technology to reduce the number of manual operations; Strengthen the monitoring and early warning functions of the logistics information system to promptly detect and correct erroneous operations; Provide training and assessment for logistics personnel; Optimize logistics processes and management systems to reduce redundant operations and errors; The above measures will reduce the result value of the number of transmission errors CC and the number of repeated operations FC in the next cycle.
Citation Information
Cited By
Forestry pest informatization comprehensive management system and method
CN120258333A
A forestry pest information integrated management system and method
CN120258333B