Fruit and vegetable logistics supply chain management system based on aging analysis

Abstract

The invention discloses a fruit and vegetable logistics supply chain management system based on aging analysis, relates to the technical field of fruit and vegetable logistics management, and solves the technical problems that a traditional logistics path selection method is single, multiple factors are not comprehensively considered, an optimal path is difficult to select, and an effective real-time monitoring and adjusting mechanism is not available in the transportation process. According to the invention, when the logistics path is generated, factors such as the traffic flow, the vehicle speed and the slow moving distance of different paths between the logistics starting point and the logistics ending point are comprehensively considered, the path with the minimum logistics value is selected as the standard logistics path by calculating the path value, and the remaining path in the standard logistics path can be monitored in real time in the transportation process; for different types of fruits and vegetables, the fresh-keeping time, namely the fruit and vegetable aging time, is fully considered. In the route selection and transportation process, the fruit and vegetable aging duration is always used as an important reference index, and it is ensured that the selected route and transportation scheme can complete the transportation task within the fruit and vegetable fresh-keeping period.

Description

Technical Field

[0001] The present invention relates to the technical field of fruit and vegetable logistics management, and in particular to a fruit and vegetable logistics supply chain management system based on time efficiency analysis. Background Art

[0002] As people's living standards improve, the demand for fresh fruits and vegetables is growing. The freshness and quality of fruits and vegetables largely depend on the efficiency and timeliness of logistics and transportation. In the traditional fruit and vegetable logistics supply chain, the choice of logistics routes often relies on experience or a single map navigation, lacking comprehensive consideration of multiple factors such as road conditions, traffic volume, slow-moving distance, etc.

[0003] According to publication number CN111242541A, a supply chain management system is involved, which includes an information management system for use by a logistics company and a customer mobile terminal for use by customers of the logistics company. When the customer's address temporarily changes during the goods delivery process, the customer can enter the temporary address through the customer mobile terminal, and the information management system changes the delivery route information of the corresponding goods according to the temporary address. The logistics company delivers the corresponding goods according to the updated delivery route information, so that when the customer's address temporarily changes, the logistics company can still deliver the goods to the customer normally.

[0004] Currently, in fruit and vegetable logistics, logistics routes are mainly generated through ordinary map software, which only considers simple factors such as distance, and does not fully consider multiple factors. Among them, there are defects in the consideration of the timeliness of fruits and vegetables. The existing logistics supply chain management system does not fully plan and adjust the timeliness of specific fruits and vegetables during route selection and transportation, which may cause fruits and vegetables to lose freshness during transportation. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a fruit and vegetable logistics supply chain management system based on time analysis, which solves the problems of the traditional logistics route selection method being single, lacking comprehensive consideration of multiple factors, making it difficult to select the optimal route, and lacking an effective real-time monitoring and adjustment mechanism during transportation.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a fruit and vegetable logistics supply chain management system based on time efficiency analysis, comprising: Logistics information acquisition module, which is used to acquire fruit and vegetable logistics information and transmit the collected fruit and vegetable logistics information to the path optimization analysis module. The fruit and vegetable logistics information mainly includes the logistics starting point, logistics end point and fruit and vegetable validity period; The path optimization analysis module is used to perform path selection analysis based on the fruit and vegetable logistics information transmitted by the logistics information acquisition module, calculate the logistics values ​​of multiple paths, and comprehensively select the path with the smallest logistics value to generate a standard logistics path, and transmit the standard logistics path to the real-time monitoring and scheduling module and the management information output module; The real-time monitoring and scheduling module is used to transport according to the standard logistics path information, and to perform real-time monitoring based on the transportation situation, and to generate a traffic anomaly analysis signal and a continuous monitoring signal. Then, the traffic anomaly analysis signal is processed to obtain the remaining path segments in the standard logistics path, and the historical data of the standard logistics path is obtained. The predicted total duration is calculated in combination with the historical data, and a continuous monitoring signal and a path scheduling analysis signal are generated according to the relationship between the predicted total duration and the fruit and vegetable shelf life, and the path scheduling analysis signal is transmitted to the scheduling analysis module; The scheduling analysis module is used to process the acquired path scheduling analysis signals, perform scheduling analysis in combination with all logistics paths, and comprehensively select scheduling paths based on historical data and real-time data to generate scheduling path information, and then transmit the scheduling path information to the management information output module.

[0007] The management information output module is used to display the acquired standard logistics path information, continuous monitoring signals and scheduling path information to the corresponding logistics personnel.

[0008] As a further solution of the present invention: the specific method of the path optimization analysis module to perform path selection analysis according to the fruit and vegetable logistics information is: The logistics starting point and logistics end point in the fruit and vegetable logistics information are obtained, and different logistics paths are generated. At the same time, the logistics paths are labeled as i, and i=1, 2, ..., j, where j represents the number of logistics paths. Then, any group of logistics paths is obtained as the analysis object, and the analysis object is divided into multiple segments to obtain path segments, which are labeled as o, and o=1, 2, ..., p, where p represents the number of path segments; Then obtain the corresponding traffic flow in the same time period of the path segment o, recorded as Lo, the vehicle speed Vo and the slow-moving distance Do, and substitute the obtained parameters into the formula The path value Qo corresponding to the path segment o is calculated, where Lmax, Vmax and Dmax represent the maximum traffic volume, maximum speed and maximum slow-down distance corresponding to the path segment respectively, and k1, k2 and k3 are all preset proportional coefficients, and k1+k2+k3=1 is satisfied at the same time, and is a preset proportional coefficient, the specific value is set by the operator, all the calculated path values ​​Qo are summed and the average is calculated, and the calculated average is used as the logistics value of the analysis object; By analogy, the logistics values ​​of all logistics paths are calculated, and the logistics path corresponding to the smallest logistics value is selected as the standard logistics path, and the standard logistics path information is generated at the same time.

[0009] As a further solution of the present invention: the specific method of the real-time monitoring and scheduling module for real-time monitoring based on the transportation situation is: Fruits and vegetables are transported using standard logistics route information, and the remaining distance in the standard logistics route is monitored in real time to determine whether there are any traffic abnormalities in the remaining distance. If there are no traffic abnormalities in the remaining distance, a continuous monitoring signal is generated; otherwise, if there are traffic abnormalities in the remaining distance, a traffic analysis signal is generated and processed.

[0010] As a further solution of the present invention: the specific manner in which the real-time monitoring and scheduling module processes the traffic analysis signal is: Obtain the remaining path segments in the standard logistics path, obtain the historical data of the standard logistics path, obtain the current transport vehicle speed, and calculate the time to reach the adjacent path segment based on the current transport vehicle speed as the prediction time, and obtain the time point to reach the adjacent path segment based on the prediction time; Then, the traffic conditions corresponding to the same time point in the historical data are obtained, and the corresponding travel time is obtained based on the traffic conditions. Similarly, the corresponding travel time of the subsequent path segments is predicted according to the adjacent path segments. Then, the predicted travel times are summed to obtain the predicted total time, and the fruit and vegetable shelf life is obtained, and the predicted total time is compared with the fruit and vegetable shelf life.

[0011] As a further solution of the present invention: the specific method in which the real-time monitoring and scheduling module compares the predicted total duration with the fruit and vegetable aging duration is: When the predicted total duration is greater than the fruit and vegetable shelf life, a path scheduling analysis signal is generated. Conversely, when the predicted total duration is less than the fruit and vegetable shelf life, a continuous monitoring signal is generated. At the same time, the path scheduling analysis signal is transmitted to the scheduling analysis module, and the continuous monitoring signal is transmitted to the management information output module.

[0012] As a further solution of the present invention: the specific manner in which the scheduling analysis module processes the path scheduling analysis signal is: All logistics paths are obtained, and the corresponding predicted total duration is calculated according to historical data. At the same time, the logistics paths that meet the fruit and vegetable shelf life are selected according to the predicted total duration, and the selected logistics paths are marked as paths to be analyzed, and recorded as n, and n=1, 2, ..., m, where m represents the number of paths to be analyzed. Then, the path change difference between the path to be analyzed n and the standard logistics path is calculated and recorded as Hn. Based on the path change difference Hn, the paths to be analyzed are screened for the second time, and the paths to be analyzed whose path change difference Hn is less than zero are screened. The screened paths to be analyzed are recorded as secondary screening paths, and the secondary screening paths are analyzed at the same time.

[0013] As a further solution of the present invention: the specific method in which the scheduling analysis module analyzes the secondary screening path is: The secondary screening path is obtained, and then one of the secondary screening paths is analyzed as the target, and the target path is segmented to obtain the segmented path. At the same time, the historical data corresponding to the segmented path is obtained, and the segmented path is labeled as a, and a=1, 2, ..., b, where b represents the number of segmented paths of the target path, and the congestion number corresponding to the segmented path a is obtained based on the historical data, and is recorded as Ca, and the congestion duration T corresponding to the congestion number Ca Ca , and the congestion ratio Za, then substitute the obtained parameters into the formula Calculate the optimal index Pa corresponding to the target path, where is the preset proportional coefficient, the specific value is set by the operator, and e is a natural constant, the value of e is 2.7; Calculate the preferred indexes corresponding to all secondary screening paths, then select the secondary screening path corresponding to the smallest preferred index as the scheduling path, and generate the scheduling path information at the same time.

[0014] Beneficial Effects The present invention provides a fruit and vegetable logistics supply chain management system based on time efficiency analysis. Compared with the prior art, it has the following beneficial effects: The present invention comprehensively considers factors such as the traffic volume, vehicle speed, and slow-moving distance of different paths between the logistics starting point and the end point when generating the logistics path, and selects the path with the smallest logistics value as the standard logistics path by calculating the path value. During the transportation process, the remaining distance in the standard logistics path can be monitored in real time, and the preservation time of different types of fruits and vegetables, that is, the fruit and vegetable shelf life, is fully considered. In the process of path selection and transportation, the fruit and vegetable shelf life is always used as an important reference indicator to ensure that the selected path and transportation plan can complete the transportation task within the fruit and vegetable shelf life. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a block diagram of the system principle of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] For example, see Figure 1 This application provides a fruit and vegetable logistics supply chain management system based on time efficiency analysis, including: logistics information acquisition module, path optimization analysis module, real-time monitoring and scheduling module, scheduling analysis module and management information output module. Figure 1 It can be seen that all the above functional units are electrically connected in one direction.

[0018] Logistics information acquisition module, which is used to acquire fruit and vegetable logistics information and transmit the collected fruit and vegetable logistics information to the path optimization analysis module. Specific fruit and vegetable logistics information mainly includes the logistics starting point, logistics end point and fruit and vegetable shelf life. The fruit and vegetable shelf life indicates the shelf life of fruits and vegetables. Different types of fruits and vegetables have different shelf life, and in this application, the same type of fruits and vegetables are analyzed.

[0019] The path optimization analysis module is used to perform path selection analysis based on fruit and vegetable logistics information. It calculates the logistics values ​​of multiple paths, comprehensively selects the path with the smallest logistics value, and generates a standard logistics path. At the same time, the standard logistics path is transmitted to the real-time monitoring and scheduling module and the management information output module.

[0020] First, the logistics starting point and logistics end point in the fruit and vegetable logistics information are obtained. Assuming that a batch of apples are to be transported, the logistics starting point is the orchard in place A, and the logistics end point is the wholesale market in place B. Different logistics paths are generated based on the two. The way to generate the logistics path here is obtained through the corresponding map software, such as Baidu Map, Gaode Map, Tencent Map, etc. At the same time, the logistics path is labeled as i, and i=1, 2, ..., j, where j represents the number of logistics paths. For example, three paths are generated, specifically j=3. Then, any group of logistics paths is obtained as the analysis object, and the analysis object is divided into multiple segments to obtain the path segmentation segment, which is recorded as o, and o=1, 2, ..., p, where p represents the number of path segmentation segments, and the distance length of the path segmentation segments here is the same; Then obtain the corresponding traffic flow in the same time period of the path segment o, recorded as Lo, the vehicle speed Vo and the slow-moving distance Do, and substitute the obtained parameters into the formula The path value Qo corresponding to the path segment o is calculated, where Lmax, Vmax and Dmax represent the maximum traffic volume, maximum speed and maximum slow-down distance corresponding to the path segment respectively, and k1, k2 and k3 are all preset proportional coefficients, and k1+k2+k3=1 is satisfied at the same time, and is a preset proportional coefficient, and the specific value is set by the operator. All the calculated path values ​​Qo are summed and averaged, and the calculated average is used as the logistics value of the analysis object; for example, the traffic volume L1=50 vehicles / minute, the speed V1=60 kilometers / hour, and the slow-moving distance D1=1 kilometer of the path segment o=1. It is known that the maximum traffic volume Lmax=100 vehicles / minute, the maximum speed Vmax=80 kilometers / hour, the maximum slow-moving distance Dmax=5 kilometers, the preset proportional coefficients k1=0.4, k2=0.4, k3=0.2, and the path value Q1=[0.4×(50 / 100)]+[0.4×(60 / 80)]+[0.2×(1 / 5)] of the path segment o=1 is obtained by substituting them into the formula.

[0021] By analogy, the logistics values ​​of all logistics paths are calculated, and the logistics path corresponding to the smallest logistics value is selected as the standard logistics path, and the standard logistics path information is generated at the same time.

[0022] Management information output module, which is used to display the acquired standard logistics path information to the corresponding logistics personnel.

[0023] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that: Real-time monitoring and scheduling module, which is used to transport according to standard logistics path information and to perform real-time monitoring based on transportation conditions. The specific methods of real-time monitoring are: Fruits and vegetables are transported using standard logistics route information, and the remaining distance in the standard logistics route is monitored in real time to determine whether there are any traffic abnormalities in the remaining distance. Traffic abnormalities here include congestion, road construction, and vehicle accidents. At the same time, traffic abnormalities can be directly obtained by the corresponding map software. If there are no traffic abnormalities in the remaining distance, a continuous monitoring signal is generated. Otherwise, if there are traffic abnormalities in the remaining distance, a traffic analysis signal is generated and processed.

[0024] Then, the generated traffic analysis signal is processed to obtain the remaining path segments in the standard logistics path. Meanwhile, the historical data of the standard logistics path is obtained, and the traffic duration is calculated in combination with the historical data. The specific calculation method is as follows: The current transport vehicle speed is obtained, and the time required to reach the adjacent path segment is calculated based on the current transport vehicle speed and recorded as the predicted time. The predicted time calculated here is a range value, which is calculated by the maximum and minimum values ​​of the current transport vehicle speed. At the same time, the time point to reach the adjacent path segment is obtained based on the predicted time. The method of obtaining the time here is: add the current time point to the predicted time. For example, assuming that the current transport vehicle is traveling on the logistics path given by the system, the current time is 10:30. The current transport vehicle speed is obtained through the vehicle monitoring equipment, which fluctuates between 60 km / h and 80 km / h. It is known that the distance between the current location and the adjacent path segment is 30 km. When the vehicle speed is 80 km / h, the time required to reach the adjacent path segment is 30÷80=0.375 hours, that is, 22.5 minutes; when the vehicle speed is 60 km / h, the time required to reach the adjacent path segment is 30÷60=0.5 hours, that is, 30 minutes; Therefore, the predicted duration is in the range of 22.5 minutes to 30 minutes. The current time point plus the minimum predicted duration of 22.5 minutes is added to the time point of 10:52 on the same day; the current time point plus the maximum predicted duration of 30 minutes is added to the time point of 11:00. These two time points constitute the time range for the vehicle to arrive at the adjacent path segment.

[0025] Then, the traffic conditions corresponding to the same time point in the historical data are obtained. When analyzing the parameters in the historical data here, they are all calculated by calculating the mean, and the corresponding travel time is obtained based on the traffic conditions. Similarly, the corresponding travel time of the subsequent path segment is predicted according to the adjacent path segment, and then the predicted travel time is summed to obtain the predicted total time. The predicted total time here includes the transportation time, and the fruit and vegetable shelf life is obtained (the fruit and vegetable shelf life is equal to the preservation time), and the predicted total time is compared with the fruit and vegetable shelf life; When the predicted total duration is greater than the shelf life of fruits and vegetables, it means that there is a situation of over-limit in transportation using the standard logistics route, and a path scheduling analysis signal is generated. Conversely, when the predicted total duration is less than the shelf life of fruits and vegetables, it means that there is no situation of over-limit in transportation using the standard logistics route, and a continuous monitoring signal is generated. At the same time, the path scheduling analysis signal is transmitted to the scheduling analysis module, and the continuous monitoring signal is transmitted to the management information output module.

[0026] The scheduling analysis module is used to process the acquired path scheduling analysis signals, conduct scheduling analysis in combination with all logistics paths, and comprehensively select scheduling paths based on historical data and real-time data to generate scheduling path information, and then transmit the scheduling path information to the management information output module.

[0027] All logistics paths are obtained, and the corresponding predicted total duration is calculated based on historical data. The calculation method here is the same as the calculation method of the above standard logistics path. At the same time, the logistics path that meets the fruit and vegetable shelf life is selected according to the predicted total duration, and the selected logistics path is marked as the path to be analyzed, and recorded as n, and n=1, 2, ..., m, where m represents the number of paths to be analyzed. Then, the path replacement difference between the path to be analyzed n and the standard logistics path is calculated and recorded as Hn. The replacement difference here is represented by the overall distance difference after the current standard logistics path is replaced on other paths to be analyzed. Based on the path replacement difference Hn, the paths to be analyzed are secondary screened, and the paths to be analyzed whose path replacement difference Hn is less than zero are screened, and the screened paths to be analyzed are recorded as secondary screening paths; assuming that after calculation, H1 = 50 kilometers (a positive value indicates that the distance has become longer after the replacement), and then the path replacement difference H2 = -20 kilometers (a negative value indicates that the distance has become shorter after the replacement) between the path to be analyzed 2 (logistics path 4) and the standard logistics path 2 is calculated.

[0028] A secondary screening path is obtained, and then one of the sets of secondary screening paths is analyzed as a target, and the target path is segmented to obtain a segmented path. The segmentation method here is the same as the segmentation method for all logistics paths in Example 1. At the same time, historical data corresponding to the segmented path is obtained, and the historical data obtained here is the historical data within the time period t. The specific time period value is set by the operator. The segmented path is labeled as a, and a=1, 2, ..., b, where b represents the number of segmented paths of the target path, and the number of congestion times corresponding to the segmented path a is obtained based on the historical data, and is recorded as Ca, and the congestion duration T corresponding to the congestion number Ca Ca , and the congestion ratio value Za, and the congestion ratio value represents the ratio between the corresponding congestion length and the total length, which can be one section or multiple sections. Then substitute the obtained parameters into the formula Calculate the optimal index Pa corresponding to the target path, where is the preset proportional coefficient, the specific value is set by the operator, and e is a natural constant, the value of e is 2.7; Similarly, the above calculation method is used to calculate the preferred indexes corresponding to all secondary screening paths, and then the secondary screening path corresponding to the smallest preferred index is selected as the scheduling path. At the same time, the scheduling path information is generated and transmitted to the management information output module.

[0029] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0030] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0031] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Fruit and vegetable logistics supply chain management system based on time efficiency analysis, characterized by: include: The path optimization analysis module is used to perform path selection analysis based on the fruit and vegetable logistics information transmitted by the logistics information acquisition module, calculate the logistics values ​​of multiple paths, and comprehensively select the path with the smallest logistics value to generate a standard logistics path, and transmit the standard logistics path to the real-time monitoring and scheduling module and the management information output module; The real-time monitoring and scheduling module is used to transport according to the standard logistics path information, and to perform real-time monitoring based on the transportation situation, and to generate a traffic anomaly analysis signal and a continuous monitoring signal. Then, the traffic anomaly analysis signal is processed to obtain the remaining path segments in the standard logistics path, and the historical data of the standard logistics path is obtained. The predicted total duration is calculated in combination with the historical data, and a continuous monitoring signal and a path scheduling analysis signal are generated according to the relationship between the predicted total duration and the fruit and vegetable shelf life, and the path scheduling analysis signal is transmitted to the scheduling analysis module; The scheduling analysis module is used to process the acquired path scheduling analysis signals, perform scheduling analysis in combination with all logistics paths, and comprehensively select scheduling paths based on historical data and real-time data to generate scheduling path information, and then transmit the scheduling path information to the management information output module.

2. The fruit and vegetable logistics supply chain management system based on time efficiency analysis according to claim 1 is characterized in that: It also includes a logistics information acquisition module and a management information output module; Logistics information acquisition module, which is used to acquire fruit and vegetable logistics information and transmit the collected fruit and vegetable logistics information to the path optimization analysis module. The fruit and vegetable logistics information mainly includes the logistics starting point, logistics end point and fruit and vegetable validity period; The management information output module is used to display the acquired standard logistics path information, continuous monitoring signals and scheduling path information to the corresponding logistics personnel.

3. The fruit and vegetable logistics supply chain management system based on time efficiency analysis according to claim 1 is characterized in that: The specific method of the path optimization analysis module to perform path selection analysis based on fruit and vegetable logistics information is as follows: The logistics starting point and logistics end point in the fruit and vegetable logistics information are obtained, and different logistics paths are generated. At the same time, the logistics paths are labeled as i, and i=1, 2, ..., j, where j represents the number of logistics paths. Then, any group of logistics paths is obtained as the analysis object, and the analysis object is divided into multiple segments to obtain path segments, which are labeled as o, and o=1, 2, ..., p, where p represents the number of path segments; Then obtain the corresponding traffic flow in the same time period of the path segment o, recorded as Lo, the vehicle speed Vo and the slow-moving distance Do, and substitute the obtained parameters into the formula The path value Qo corresponding to the path segment o is calculated, where Lmax, Vmax and Dmax represent the maximum traffic volume, maximum speed and maximum slow-down distance corresponding to the path segment respectively, and k1, k2 and k3 are all preset proportional coefficients, and k1+k2+k3=1 is satisfied at the same time, and is a preset proportional coefficient, the specific value is set by the operator, all the calculated path values ​​Qo are summed and the average is calculated, and the calculated average is used as the logistics value of the analysis object; By analogy, the logistics values ​​of all logistics paths are calculated, and the logistics path corresponding to the smallest logistics value is selected as the standard logistics path, and the standard logistics path information is generated at the same time.

4. The fruit and vegetable logistics supply chain management system based on time efficiency analysis according to claim 1 is characterized in that: The specific method of the real-time monitoring and scheduling module to perform real-time monitoring based on the transportation situation is as follows: Fruits and vegetables are transported using standard logistics route information, and the remaining distance in the standard logistics route is monitored in real time to determine whether there are any traffic abnormalities in the remaining distance. If there are no traffic abnormalities in the remaining distance, a continuous monitoring signal is generated; otherwise, if there are traffic abnormalities in the remaining distance, a traffic analysis signal is generated and processed.

5. The fruit and vegetable logistics supply chain management system based on time efficiency analysis according to claim 4 is characterized in that: The specific method in which the real-time monitoring and dispatching module processes the traffic analysis signal is as follows: Obtain the remaining path segments in the standard logistics path, obtain the historical data of the standard logistics path, obtain the current transport vehicle speed, and calculate the time to reach the adjacent path segment based on the current transport vehicle speed as the prediction time, and obtain the time point to reach the adjacent path segment based on the prediction time; Then, the traffic conditions corresponding to the same time point in the historical data are obtained, and the corresponding travel time is obtained based on the traffic conditions. Similarly, the corresponding travel time of the subsequent path segments is predicted according to the adjacent path segments. Then, the predicted travel times are summed to obtain the predicted total time, and the fruit and vegetable shelf life is obtained, and the predicted total time is compared with the fruit and vegetable shelf life.

6. The fruit and vegetable logistics supply chain management system based on time efficiency analysis according to claim 5 is characterized in that: The specific method in which the real-time monitoring and scheduling module compares the predicted total duration with the fruit and vegetable aging duration is: When the predicted total duration is greater than the fruit and vegetable shelf life, a path scheduling analysis signal is generated. Conversely, when the predicted total duration is less than the fruit and vegetable shelf life, a continuous monitoring signal is generated. At the same time, the path scheduling analysis signal is transmitted to the scheduling analysis module, and the continuous monitoring signal is transmitted to the management information output module.

7. The fruit and vegetable logistics supply chain management system based on time efficiency analysis according to claim 1 is characterized in that: The specific method in which the scheduling analysis module processes the path scheduling analysis signal is as follows: All logistics paths are obtained, and the corresponding predicted total duration is calculated according to historical data. At the same time, the logistics paths that meet the fruit and vegetable shelf life are selected according to the predicted total duration, and the selected logistics paths are marked as paths to be analyzed, and recorded as n, and n=1, 2, ..., m, where m represents the number of paths to be analyzed. Then, the path change difference between the path to be analyzed n and the standard logistics path is calculated and recorded as Hn. Based on the path change difference Hn, the paths to be analyzed are screened for the second time, and the paths to be analyzed whose path change difference Hn is less than zero are screened. The screened paths to be analyzed are recorded as secondary screening paths, and the secondary screening paths are analyzed at the same time.

8. The fruit and vegetable logistics supply chain management system based on time efficiency analysis according to claim 7 is characterized in that: The specific method in which the scheduling analysis module analyzes the secondary screening path is: The secondary screening path is obtained, and then one of the secondary screening paths is analyzed as the target, and the target path is segmented to obtain the segmented path. At the same time, the historical data corresponding to the segmented path is obtained, and the segmented path is labeled as a, and a=1, 2, ..., b, where b represents the number of segmented paths of the target path, and the congestion number corresponding to the segmented path a is obtained based on the historical data, and is recorded as Ca, and the congestion duration T corresponding to the congestion number Ca Ca , and the congestion ratio Za, then substitute the obtained parameters into the formula Calculate the optimal index Pa corresponding to the target path, where is the preset proportional coefficient, the specific value is set by the operator, and e is a natural constant, the value of e is 2.7; Calculate the preferred indexes corresponding to all secondary screening paths, then select the secondary screening path corresponding to the smallest preferred index as the scheduling path, and generate the scheduling path information at the same time.

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